Ged Carroll

Category: wireless | 無線 |무선 네트워크 | 無線

This blog came out of the crater of the dot com bust and wireless growth. Wi-Fi was transforming the way we used the internet at home. I used to have my Mac next to my router on top of a cupboard that contained the house fuse panel and the telephone line. Many people had an internet room and used a desktop computer like a Mac Mini or an all-in-one computer like an iMac. Often this would be in the ‘den’ or the ‘man cave’. Going on the internet to email, send instant messages or surf the internet was something you did with intent.

Wi-Fi arrived alongside broadband connections and the dot com boom. Wi-Fi capable computers came in at a relatively low price point with the first Apple iBook. I had the second generation design at the end of 2001 and using the internet changed. Free Wi-Fi became a way to attract people to use a coffee shop, as a freelancer it affected where I did meetings and how I worked.

I was travelling more for work at the time. While I preferred the reliability of an ethernet connection, Wi-Fi would meet my needs just as well. UMTS or 3G wireless data plans were still relatively expensive and slow. I would eventually send low resolution pictures to Flickr and even write a blog post or two. But most of the time I used it to clear my email box, or use Google Maps if I was desperate.

4G wireless services, started to make mobile data a bit more useful, even if the telephony wasn’t great

 

  • Intelligence per watt

    My thinking on the concept of intelligence per watt started as bullets in my notebook. It was more of a timeline than anything else at first and provided a framework of sorts from which I could explore the concept of efficiency in terms of intelligence per watt. 

    TL;DR (too long, didn’t read)

    Our path to the current state of ‘artificial intelligence’ (AI) has been shaped by the interplay and developments of telecommunications, wireless communications, materials science, manufacturing processes, mathematics, information theory and software engineering. 

    Progress in one area spurred advances in others, creating a feedback loop that propelled innovation.  

    Over time, new use cases have become more personal and portable – necessitating a focus on intelligence per watt as a key parameter. Energy consumption directly affects industrial design and end-user benefits. Small low-power integrated circuits (ICs) facilitated fuzzy logic in portable consumer electronics like cameras and portable CD players. Low power ICs and power management techniques also helped feature phones evolve into smartphones.  

    A second-order effect of optimising for intelligence per watt is reducing power consumption across multiple applications. This spurs yet more new use cases in a virtuous innovation circle. This continues until the laws of physics impose limits. 

    Energy storage density and consumption are fundamental constraints, driving the need for a focus on intelligence per watt.  

    As intelligence per watt improves, there will be a point at which the question isn’t just what AI can do, but what should be done with AI? And where should it be processed? Trust becomes less about emotional reassurance and more about operational discipline. Just because it can handle a task doesn’t mean it should – particularly in cases where data sensitivity, latency, or transparency to humans is non-negotiable. A highly capable, off-device AI might be a fine at drafting everyday emails, but a questionable choice for handling your online banking. 

    Good ‘operational security’ outweighs trust. The design of AI systems must therefore account not just for energy efficiency, but user utility and deployment context. The cost of misplaced trust is asymmetric and potentially irreversible.

    Ironically the force multiplier in intelligence per watt is people and their use of ‘artificial intelligence’ as a tool or ‘co-pilot’. It promises to be an extension of the earlier memetic concept of a ‘bicycle for the mind’ that helped inspire early developments in the personal computer industry. The upside of an intelligence per watt focus is more personal, trusted services designed for everyday use. 

    Integration

    In 1926 or 27, Loewe (now better known for their high-end televisions) created the 3NF[i].

    While not a computer, but instead to integrate several radio parts in one glass envelope vacuum valve. This had three triodes (early electronic amplifiers), two capacitors and four resistors. Inside the valve the extra resistor and capacitor components went inside their own glass tubes. Normally each triode would be inside its own vacuum valve. At the time, German radio tax laws were based on the number of valve sockets in a device, making this integration financially advantageous. 

    Post-war scientific boom

    Between 1949 and 1957 engineers and scientists from the UK, Germany, Japan and the US proposed what we’d think of as the integrated circuit (IC). These ideas were made possible when breakthroughs in manufacturing happened. Shockley Semiconductor built on work by Bell Labs and Sprague Electric Company to connect different types of components on the one piece of silicon to create the IC. 

    Credit is often given to Jack Kilby of Texas Instruments as the inventor of the integrated circuit. But that depends how you define IC, with what is now called a monolithic IC being considered a ‘true’ one. Kilby’s version wasn’t a true monolithic IC. As with most inventions it is usually the child of several interconnected ideas that coalesce over a given part in time. In the case of ICs, it was happening in the midst of materials and technology developments including data storage and computational solutions such as the idea of virtual memory through to the first solar cells. 

    Kirby’s ICs went into an Air Force computer[ii] and an onboard guidance system for the Minuteman missile. He went on to help invent the first handheld calculator and thermal printer, both of which took advantage of progress in IC design to change our modern way of life[iii]. 

    TTL (transistor-to-transistor logic) circuitry was invented at TRW in 1961, they licensed it out for use in data processing and communications – propelling the development of modern computing. TTL circuits powered mainframes. Mainframes were housed in specialised temperature and humidity-controlled rooms and owned by large corporates and governments. Modern banking and payments systems rely on the mainframe as a concept. 

    AI’s early steps 

    Science Museum highlights

    What we now thing of as AI had been considered theoretically for as long as computers could be programmed. As semiconductors developed, a parallel track opened up to move AI beyond being a theoretical possibility. A pivotal moment was a workshop was held in 1956 at Dartmouth College. The workshop focused on a hypothesis ‘every aspect of learning or any other feature of intelligence can be so precisely described that a machine can be made to simulate it’. Later on, that year a meeting at MIT (Massachusetts Institute of Technology) brought together psychologists and linguists to discuss the possibility of simulating cognitive processes using a computer. This is the origin of what we’d now call cognitive science. 

    Out of the cognitive approach came some early successes in the move towards artificial intelligence[iv]. A number of approaches were taken based on what is now called symbolic or classical AI:

    • Reasoning as search – essentially step-wise trial and error approach to problem solving that was compared to wandering through a maze and back-tracking if a dead end was found. 
    • Natural language – where related phrases existed within a structured network. 
    • Micro-worlds – solving for artificially simple situations, similar to economic models relying on the concept of the rational consumer. 
    • Single layer neural networks – to do rudimentary image recognition. 

     By the time the early 1970s came around AI researchers ran into a number of problems, some of which still plague the field to this day:

    • Symbolic AI wasn’t fit for purpose solving many real-world tasks like crossing a crowded room. 
    • Trying to capture imprecise concepts with precise language.
    • Commonsense knowledge was vast and difficult to encode. 
    • Intractability – many problems require an exponential amount of computing time. 
    • Limited computing power available – there was insufficient intelligence per watt available for all but the simplest problems. 

    By 1966, US and UK funding bodies were frustrated with the lack of progress on the research undertaken. The axe fell first on a project to use computers on language translation. Around the time of the OPEC oil crisis, funding to major centres researching AI was reduced by both the US and UK governments respectively. Despite the reduction of funding to the major centres, work continued elsewhere. 

    Mini-computers and pocket calculators

    ICs allowed for mini-computers due to the increase in computing power per watt. As important as the relative computing power, ICs made mini-computers more robust, easier to manufacture and maintain. DEC (Digital Equipment Corporation) launched the first minicomputer, the PDP-8 in 1964. The cost of mini-computers allowed them to run manufacturing processes, control telephone network switching and control labouratory equipment. Mini-computers expanded computer access in academia facilitating more work in artificial life and what we’d think of as early artificial intelligence. This shift laid the groundwork for intelligence per watt as a guiding principle.

    A second development helped drive mass production of ICs – the pocket calculator, originally invented at Texas Instruments.  It demonstrated how ICs could dramatically improve efficiency in compact, low-power devices.

    LISP machines and PCs

    AI researchers required more computational power than mini-computers could provide, leading to the development of LISP machines—specialised workstations designed for AI applications. Despite improvements in intelligence per watt enabled by Moore’s Law, their specialised nature meant that they were expensive. AI researchers continued with these machines until personal computers (PCs) progressed to a point that they could run LISP quicker than LISP machines themselves. The continuous improvements in data storage, memory and processing that enabled LISP machines, continued on and surpassed them as the cost of computing dropped due to mass production. 

    The rise of LISP machines and their decline was not only due to Moore’s Law in effect, but also that of Makimoto’s Wave. While Gordon Moore outlined an observation that the number of transistors on a given area of silicon doubled every two years or so. Tsugio Makimoto originally observed 10-year pivots from standardised semiconductor processors to customised processors[v]. The rise of personal computing drove a pivot towards standardised architectures. 

    PCs and workstations extended computing beyond computer rooms and labouratories to offices and production lines. During the late 1970s and 1980s standardised processor designs like the Zilog Z80, MOS Technology 6502 and the Motorola 68000 series drove home and business computing alongside Intel’s X86 processors. 

    Personal computing started in businesses when office workers brought a computer to use early computer programmes like the VisiCalc spreadsheet application. This allowed them to take a leap forward in not only tabulating data, but also seeing how changes to the business might affect financial performance. 

    Businesses then started to invest more in PCs for a wide range of uses. PCs could emulate the computer terminal of a mainframe or minicomputer, but also run applications of their own. 

    Typewriters were being placed by word processors that allowed the operator to edit a document in real time without resorting to using correction fluid. 

    A Bicycle for the Mind

    Steve Jobs at Apple was as famous for being a storyteller as he was for being a technologist in the broadest sense. Internally with the Mac team he shared stories and memetic concepts to get his ideas across in everything from briefing product teams to press interviews. As a concept, a 1990 filmed interview with Steve Jobs articulates the context of this saying particularly well. 

    In reality, Jobs had been telling the story for a long time through the development of the Apple II and right from the beginning of the Mac. There is a version of the talk that was recorded some time in 1980 when the personal computer was still a very new idea – the video was provided to the Computer History Museum by Regis McKenna[vi].

    The ‘bicycle for the mind’ concept was repeated in early Apple advertisements for the time[vii] and even informed the Macintosh project codename[viii]. 

    Jobs articulated a few key concepts. 

    • Buying a computer creates, rather than reduces problems. You needed software to start solving problems and making computing accessible. Back in 1980, you programmed a computer if you bought one. Which was the reason why early personal computer owners in the UK went on to birth a thriving games software industry including the likes of Codemasters[ix]. Done well, there should be no seem in the experience between hardware and software. 
    • The idea of a personal, individual computing device (rather than a shared resource).  My own computer builds on my years of how I have grown to adapt and use my Macs, from my first sit-up and beg Macintosh, to the MacBook Pro that I am writing this post on. This is even more true most people and their use of the smartphone. I am of an age, where my iPhone is still an appendage and emissary of my Mac. My Mac is still my primary creative tool. A personal computer is more powerful than a shared computer in terms of the real difference made. 
    • At the time Jobs originally did the speech, PCs were underpowered for anything but data processing (through spreadsheets and basic word processor applications). But that didn’t stop his idea for something greater. 

    Jobs idea of the computer as an adjunct to the human intellect and imagination still holds true, but it doesn’t neatly fit into the intelligence per watt paradigm. It is harder to measure the effort developing prompts, or that expended evaluating, refining and filtering generative AI results. Of course, Steve Jobs Apple owed a lot to the vision shown in Doug Engelbart’s ‘Mother of All Demos’[x].

    Networks

    Work took a leap forward with office networked computers pioneered by Macintosh office by Apple[xi]. This was soon overtaken by competitors. This facilitated work flow within an office and its impact can still be seen in offices today, even as components from print management to file storage have moved to cloud-based services. 

    At the same time, what we might think of as mobile was starting to gain momentum. Bell Labs and Motorola came up with much of the technology to create cellular communications. Martin Cooper of Motorola made the first phone call on a cellular phone to a rival researcher at Bell Labs. But Motorola didn’t sell the phone commercially until 1983, as a US-only product called the DynaTAC 8000x[xii].  This was four years after Japanese telecoms company NTT launched their first cellular network for car phones. Commercial cellular networks were running in Scandinavia by 1981[xiii]. 

    In the same way that the networked office radically changed white collar work, the cellular network did a similar thing for self-employed plumbers, electricians and photocopy repair men to travelling sales people. If they were technologically advanced, they may have had an answer machine, but it would likely have to be checked manually by playing back the tape. 

    Often it was a receptionist in their office if they had one. Or more likely, someone back home who took messages. The cell phone freed homemakers in a lot of self-employed households to go out into the workplace and helped raise household incomes. 

    Fuzzy logic 

    The first mainstream AI applications emerged from fuzzy logic, introduced by Lofti A. Zadeh in 1965 mathematical paper. Initial uses were for industrial controls in cement kilns and steel production[xiv]. The first prominent product to rely on fuzzy logic was the Zojirushi Micom Electric Rice Cooker (1983), which adjusted cooking time dynamically to ensure perfect rice. 

    Rice Cooker with Fuzzy Logic 3,000 yen avail end june

    Fuzzy logic reacted to changing conditions in a similar way to people. Through the 1980s and well into the 1990s, the power of fuzzy logic was under appreciated outside of Japanese product development teams. In a quote a spokesperson for the American Electronics Association’s Tokyo office said to the Washington Post[xv].

    “Some of the fuzzy concepts may be valid in the U.S.,”

    “The idea of better energy efficiency, or more precise heating and cooling, can be successful in the American market,”

    “But I don’t think most Americans want a vacuum cleaner that talks to you and says, ‘Hey, I sense that my dust bag will be full before we finish this room.’ “

    The end of the 1990s, fuzzy logic was embedded in various consumer devices: 

    • Air-conditioner units – understands the room, the temperature difference inside-and-out, humidity. It then switches on-and-off to balance cooling and energy efficiency.
    • CD players – enhanced error correction on playback dealing with imperfections on the disc surface.
    • Dishwashers – understood how many dishes were loaded, their type of dirt and then adjusts the wash programme.
    • Toasters – recognised different bread types, the preferable degree of toasting and performs accordingly.
    • TV sets – adjust the screen brightness to the ambient light of the room and the sound volume to how far away the viewer is sitting from the TV set. 
    • Vacuum cleaners – vacuum power that is adjusted as it moves from carpeted to hard floors. 
    • Video cameras – compensate for the movement of the camera to reduce blurred images. 

    Fuzzy logic sold on the benefits and concealed the technology from western consumers. Fuzzy logic embedded intelligence in the devices. Because it worked on relatively simple dedicated purposes it could rely on small lower power specialist chips[xvi] offering a reasonable amount of intelligence per watt, some three decades before generative AI. By the late 1990s, kitchen appliances like rice cookers and microwave ovens reached ‘peak intelligence’ for what they needed to do, based on the power of fuzzy logic[xvii].

    Fuzzy logic also helped in business automation. It helped to automatically read hand-written numbers on cheques in banking systems and the postcodes on letters and parcels for the Royal Mail. 

    Decision support systems & AI in business

    Decision support systems or Business Information Systems were being used in large corporates by the early 1990s. The techniques used were varied but some used rules-based systems. These were used in at least some capacity to reduce manual office work tasks. For instance, credit card approvals were processed based on rules that included various factors including credit scores. Only some credit card providers had an analyst manually review the decision made by system.  However, setting up each use case took a lot of effort involving highly-paid consultants and expensive software tools. Even then, vendors of business information systems such as Autonomy struggled with a high rate of projects that failed to deliver anything like the benefits promised. 

    Three decades on, IBM had a similar problem with its Watson offerings, with particularly high-profile failure in mission-critical healthcare applications[xviii]. Secondly, a lot of tasks were ad-hoc in nature, or might require transposing across disparate separate systems. 

    The rise of the web

    The web changed everything. The underlying technology allowed for dynamic data. 

    Software agents

    Examples of intelligence within the network included early software agents. A good example of this was PapriCom. PapriCom had a client on the user’s computer. The software client monitored price changes for products that the customer was interested in buying. The app then notified the user when the monitored price reached a price determined by the customer. The company became known as DealTime in the US and UK, or Evenbetter.com in Germany[xix].  

    The PapriCom client app was part of a wider set of technologies known as ‘push technology’ which brought content that the netizen would want directly to their computer. In a similar way to mobile app notifications now. 

    Web search

    The wealth of information quickly outstripped netizen’s ability to explore the content. Search engines became essential for navigating the new online world. Progress was made in clustering vast amounts of cheap Linux powered computers together and sharing the workload to power web search amongst them.  As search started to trying and make sense of an exponentially growing web, machine learning became part of the developer tool box. 

    Researchers at Carnegie-Mellon looked at using games to help teach machine learning algorithms based on human responses that provided rich metadata about the given item[xx]. This became known as the ESP game. In the early 2000s, Yahoo! turned to web 2.0 start-ups that used user-generated labels called tags[xxi] to help organise their data. Yahoo! bought Flickr[xxii] and deli.ico.us[xxiii]. 

    All the major search engines looked at how deep learning could help improve search results relevance. 

    Given that the business model for web search was an advertising-based model, reducing the cost per search, while maintaining search quality was key to Google’s success. Early on Google focused on energy consumption, with its (search) data centres becoming carbon neutral in 2007[xxiv]. This was achieved by a whole-system effort: carefully managing power management in the silicon, storage, networking equipment and air conditioning to maximise for intelligence per watt. All of which were made using optimised versions of open-source software and cheap general purpose PC components ganged together in racks and operating together in clusters. 

    General purpose ICs for personal computers and consumer electronics allowed easy access relatively low power computing. Much of this was down to process improvements that were being made at the time. You needed the volume of chips to drive innovation in mass-production at a chip foundry. While application-specific chips had their uses, commodity mass-volume products for uses for everything from embedded applications to early mobile / portable devices and computers drove progress in improving intelligence-per-watt.

    Makimoto’s tsunami back to specialised ICs

    When I talked about the decline of LISP machines, I mentioned the move towards standardised IC design predicted by Tsugio Makimoto. This led to a surge in IC production, alongside other components including flash and RAM memory.  From the mid-1990s to about 2010, Makimoto’s predicted phase was stuck in ‘standardisation’. It just worked. But several factors drove the swing back to specialised ICs. 

    • Lithography processes got harder: standardisation got its performance and intelligence per watt bump because there had been a steady step change in improvements in foundry lithography processes that allowed components to be made at ever-smaller dimensions. The dimensions are a function wavelength of light used. The semiconductor hit an impasse when it needed to move to EUV (extreme ultra violet) light sources. From the early 1990s on US government research projects championed development of key technologies that allow EUV photolithography[xxv]. During this time Japanese equipment vendors Nikon and Canon gave up on EUV. Sole US vendor SVG (Silicon Valley Group) was acquired by ASML, giving the Dutch company a global monopoly on cutting edge lithography equipment[xxvi]. ASML became the US Department of Energy research partner on EUV photo-lithography development[xxvii]. ASML spent over two decades trying to get EUV to work. Once they had it in client foundries further time was needed to get commercial levels of production up and running. All of which meant that production processes to improve IC intelligence per watt slowed down and IC manufacturers had to start about systems in a more holistic manner. As foundry development became harder, there was a rise in fabless chip businesses. Alongside the fabless firms, there were fewer foundries: Global Foundries, Samsung and TSMC (Taiwan Semiconductor Manufacturing Company Limited). TSMC is the worlds largest ‘pure-play’ foundry making ICs for companies including AMD, Apple, Nvidia and Qualcomm. 
    • Progress in EDA (electronic design automation). Production process improvements in IC manufacture allowed for an explosion in device complexity as the number of components on a given size of IC doubled every 18 months or so. In the mid-to-late 1970s this led to technologists thinking about the idea of very large-scale integration (VLSI) within IC designs[xxviii]. Through the 1980s, commercial EDA software businesses were formed. The EDA market grew because it facilitated the continual scaling of semiconductor technology[xxix]. Secondly, it facilitated new business models. Businesses like ARM Semiconductor and LSI Logic allowed their customers to build their own processors based on ‘blocs’ of proprietary designs like ARM’s cores. That allowed companies like Apple to focus on optimisation in their customer silicon and integration with software to help improve the intelligence per watt[xxx]. 
    • Increased focus on portable devices. A combination of digital networks, wireless connectivity, the web as a communications platform with universal standards, flat screen displays and improving battery technology led the way in moving towards more portable technologies. From personal digital assistants, MP3 players and smartphone, to laptop and tablet computers – disconnected mobile computing was the clear direction of travel. Cell phones offered days of battery life; the Palm Pilot PDA had a battery life allowing for couple of days of continuous use[xxxi]. In reality it would do a month or so of work. Laptops at the time could do half a day’s work when disconnected from a power supply. Manufacturers like Dell and HP provided spare batteries for travellers. Given changing behaviours Apple wanted laptops that were easy to carry and could last most of a day without a charge. This was partly driven by a move to a cleaner product design that wanted to move away from swapping batteries. In 2005, Apple moved from PowerPC to Intel processors. During the announcement at the company’s worldwide developer conference (WWDC), Steve Jobs talked about the focus on computing power per watt moving forwards[xxxii]. 

    Apple’s first in-house designed IC, the A4 processor was launched in 2010 and marked the pivot of Makimoto’s wave back to specialised processor design[xxxiii].  This marked a point of inflection in the growth of smartphones and specialised computing ICs[xxxiv]. 

    New devices also meant new use cases that melded data on the web, on device, and in the real world. I started to see this in action working at Yahoo! with location data integrated on to photos and social data like Yahoo! Research’s ZoneTag and Flickr. I had been the Yahoo! Europe marketing contact on adding Flickr support to Nokia N-series ‘multimedia computers’ (what we’d now call smartphones), starting with the Nokia N73[xxxv].  A year later the Nokia N95 was the first smartphone released with a built-in GPS receiver. William Gibson’s speculative fiction story Spook Country came out in 2007 and integrated locative art as a concept in the story[xxxvi]. 

    Real-world QRcodes helped connect online services with the real world, such as mobile payments or reading content online like a restaurant menu or a property listing[xxxvii].

    I labelled the web-world integration as a ‘web-of-no-web’[xxxviii] when I presented on it back in 2008 as part of an interactive media module, I taught to an executive MBA class at Universitat Ramon Llull in Barcelona[xxxix]. In China, wireless payment ideas would come to be labelled O2O (offline to online) and Kevin Kelly articulated a future vision for this fusion which he called Mirrorworld[xl]. 

    Deep learning boom

    Even as there was a post-LISP machine dip in funding of AI research, work on deep (multi-layered) neural networks continued through the 1980s. Other areas were explored in academia during the 1990s and early 2000s due to the large amount of computing power needed. Internet companies like Google gained experience in large clustered computing, AND, had a real need to explore deep learning. Use cases include image recognition to improve search and dynamically altered journeys to improve mapping and local search offerings. Deep learning is probabilistic in nature, which dovetailed nicely with prior work Microsoft Research had been doing since the 1980s on Bayesian approaches to problem-solving[xli].  

    A key factor in deep learning’s adoption was having access to powerful enough GPUs to handle the neural network compute[xlii]. This has allowed various vendors to build Large Language Models (LLMs). The perceived strategic importance of artificial intelligence has meant that considerations on intelligence per watt has become a tertiary consideration at best. Microsoft has shown interest in growing data centres with less thought has been given on the electrical infrastructure required[xliii].  

    Google’s conference paper on attention mechanisms[xliv] highlighted the development of the transformer model. As an architecture it got around problems in previous approaches, but is computationally intensive. Even before the paper was published, the Google transformer model had created fictional Wikipedia entries[xlv]. A year later OpenAI built on Google’s work with the generative pre-trained transformer model better known as GPT[xlvi]. 

    Since 2018 we’ve seen successive GPT-based models from Amazon, Anthropic, Google, Meta, Alibaba, Tencent, Manus and DeepSeek. All of these models were trained on vast amounts of information sources. One of the key limitations for building better models was access to training material, which is why Meta used pirated copies of e-books obtained using bit-torrent[xlvii]. 

    These models were so computationally intensive that the large-scale cloud service providers (CSPs) offering these generative AI services were looking at nuclear power access for their data centres[xlviii]. 

    The current direction of development in generative AI services is raw computing power, rather than having a more energy efficient focus of intelligence per watt. 

    Technology consultancy / analyst Omdia estimated how many GPUs were bought by hyperscalers in 2024[xlix].

    CompanyNumber of Nvidia GPUs boughtNumber of AMD GPUs boughtNumber of self-designed custom processing chips bought
    Amazon196,000–1,300,000
    Alphabet (Google)169,000–1,500,000
    ByteDance230,000––
    Meta224,000173,0001,500,000
    Microsoft485,00096,000200,000
    Tencent230,000––

    These numbers provide an indication of the massive deployment on GPT-specific computing power. Despite the massive amount of computing power available, services still weren’t able to cope[l] mirroring some of the service problems experienced by early web users[li] and the Twitter ‘whale FAIL’[lii] phenomenon of the mid-2000s. The race to bigger, more powerful models is likely to continue for the foreseeable future[liii]. 

    There is a second class of players typified by Chinese companies DeepSeek[liv] and Manus[lv] that look to optimise the use of older GPT models to squeeze the most utility out of them in a more efficient manner. Both of these services still rely on large cloud computing facilities to answer queries and perform tasks. 

    Agentic AI

    Thinking on software agents went back to work being done in computer science in the mid-1970s[lvi]. Apple articulated a view[lvii]of a future system dubbed the ‘Knowledge Navigator’[lviii] in 1987 which hinted at autonomous software agents. What we’d now think of as agentic AI was discussed as a concept at least as far back as 1995[lix], this was mirrored in research labs around the world and was captured in a 1997 survey of research on intelligent software agents was published[lx]. These agents went beyond the vision that PapriCom implemented. 

    A classic example of this was Wildfire Communications, Inc. who created a voice enabled virtual personal assistant in 1994[lxi].  Wildfire as a service was eventually shut down in 2005 due to an apparent decline in subscribers using the service[lxii]. In terms of capability, Wildfire could do tasks that are currently beyond Apple’s Siri. Wildfire did have limitations due to it being an off-device service that used a phone call rather than an internet connection, which limited its use to Orange mobile service subscribers using early digital cellular mobile networks. 

    Almost a quarter century later we’re now seeing devices that are looking to go beyond Wildfire with varying degrees of success. For instance, the Rabbit R1 could order an Uber ride or groceries from DoorDash[lxiii]. Google Duplex tries to call restaurants on your behalf to make reservations[lxiv] and Amazon claims that it can shop across other websites on your behalf[lxv]. At the more extreme end is Boeing’s MQ-28[lxvi] and the Loyal Wingman programme[lxvii]. The MQ-28 is an autonomous drone that would accompany US combat aircraft into battle, once it’s been directed to follow a course of action by its human colleague in another plane. 

    The MQ-28 will likely operate in an electronic environment that could be jammed. Even if it wasn’t jammed the length of time taken to beam AI instructions to the aircraft would negatively impact aircraft performance. So, it is likely to have a large amount of on-board computing power. As with any aircraft, the size of computing resources and their power is a trade-off with the amount of fuel or payload it will carry. So, efficiency in terms of intelligence per watt becomes important to develop the smallest, lightest autonomous pilot. 

    As well as a more hostile world, we also exist in a more vulnerable time in terms of cyber security and privacy. It makes sense to have critical, more private AI tasks run on a local machine. At the moment models like DeepSeek can run natively on a top-of-the-range Mac workstation with enough memory[lxviii].  

    This is still a long way from the vision of completely local execution of ‘agentic AI’ on a mobile device because the intelligence per watt hasn’t scaled down to that level to useful given the vast amount of possible uses that would be asked of the Agentic AI model. 

    Maximising intelligence per watt

    There are three broad approaches to maximise the intelligence per watt of an AI model. 

    • Take advantage of the technium. The technium is an idea popularised by author Kevin Kelly[lxix]. Kelly argues that technology moves forward inexorably, each development building on the last. Current LLMs such as ChatGPT and Google Gemini take advantage of the ongoing technium in hardware development including high-speed computer memory and high-performance graphics processing units (GPU).  They have been building large data centres to run their models in. They build on past developments in distributed computing going all the way back to the 1962[lxx]. 
    • Optimise models to squeeze the most performance out of them. The approach taken by some of the Chinese models has been to optimise the technology just behind the leading-edge work done by the likes of Google, OpenAI and Anthropic. The optimisation may use both LLMs[lxxi] and quantum computing[lxxii] – I don’t know about the veracity of either claim. 
    • Specialised models. Developing models by use case can reduce the size of the model and improve the applied intelligence per watt. Classic examples of this would be fuzzy logic used for the past four decades in consumer electronics to Mistral AI[lxxiii] and Anduril’s Copperhead underwater drone family[lxxiv].  

    Even if an AI model can do something, should the model be asked to do so?

    AI use case appropriateness

    We have a clear direction of travel over the decades to more powerful, portable computing devices –which could function as an extension of their user once intelligence per watt allows it to be run locally. 

    Having an AI run on a cloud service makes sense where you are on a robust internet connection, such as using the wi-fi network at home. This makes sense for general everyday task with no information risk, for instance helping you complete a newspaper crossword if there is an answer you are stuck on and the intellectual struggle has gone nowhere. 

    A private cloud AI service would make sense when working, accessing or processing data held on the service. Examples of this would be Google’s Vertex AI offering[lxxv]. 

    On-device AI models make sense in working with one’s personal private details such as family photographs, health information or accessing apps within your device. Apps like Strava which share data, have been shown to have privacy[lxxvi] and security[lxxvii] implications. ***I am using Strava as an example because it is popular and widely-known, not because it is a bad app per se.***

    While businesses have the capability and resources to have a multi-layered security infrastructure to protect their data most[lxxviii]of[lxxix] the[lxxx] time[lxxxi], individuals don’t have the same security. As I write this there are privacy concerns[lxxxii] expressed about Waymo’s autonomous taxis. However, their mobile device is rarely out of physical reach and for many their laptop or tablet is similarly close. All of these devices tend to be used in concert with each other. So, for consumers having an on-device AI model makes the most sense. All of which results in a problem, how do technologists squeeze down their most complex models inside a laptop, tablet or smartphone? 

    [i] Radiomuseum – Loewe (Opta), Germany. Multi-system internal coupling 3NF

    [ii] (1961) Solid Circuit(tm) Semiconductor Network Computer, 6.3 Cubic inches in Size, is Demonstrated in Operation by U.S. Air Force and Texas Instruments (United States) Texas Instruments news release

    [iii] (2000) The Chip that Jack Built Changed the World (United States) Texas Instruments website

    [iv] Moravec H (1988), Mind Children (United States) Harvard University Press

    [v] (2010) Makimoto’s Wave | EDN (United States) AspenCore Inc.

    [vi] Jobs, S. (1980) Presentation on Apple Computer history and vision (United States) Computer History Museum via Regis McKenna

    [vii] Sinofsky, S. (2019) ‘Bicycle for the Mind’ (United States) Learning By Shipping

    [viii] Hertzfeld, A. (1981) Bicycle (United States) Folklore.org

    [ix] Jones, D. (2016) Codemasters (United Kingdom) Retro Gamer – Future Publishing

    [x] Engelbert, D. (1968) A Research Center For Augmenting Human Intellect (United States) Stanford Research Institute (SRI)

    [xi] Hormby, T. (2006) Apple’s Worst business Decisions (United States) OSnews

    [xii] Honam, M. (2009) From Brick to Slick: A History of Mobile Phones (United States) Wired

    [xiii] Ericsson History: The Nordics take charge (Sweden) LM Ericsson.

    [xiv] Singh, H., Gupta, M.M., Meitzler, T., Hou, Z., Garg, K., Solo, A.M.G & Zadeh, L.A. (2013) Real-Life Applications of Fuzzy Logic – Advances in Fuzzy Systems (Egypt) Hindawi Publishing Corporation

    [xv] Reid, T.R. (1990) The Future of Electronics Looks ‘Fuzzy’. (United States) Washington Post

    [xvi] Kushairi, A. (1993). “Omron showcases latest in fuzzy logic”. (Malaysia) New Straits Times

    [xvii] Watson, A. (2021) The Antique Microwave Oven that’s Better than Yours (United States) Technology Connections

    [xviii] Durbhakula, S. (2022) IBM dumping Watson Health is an opportunity to reevaluate artificial intelligence (United States) MedCity News

    [xix] (1998) PapriCom Technologies Wins CommerceNet Award (Israel) Globes

    [xx] Von Ahn, L., Dabbish, L. (2004) Labeling Images with a Computer Game (United States) School of Computing, Carnegie-Mellon University

    [xxi] Butterfield, D., Fake, C., Henderson-Begg, C., Mourachov, S., (2006) Interestingness ranking of media objects (United States) US Patent Office

    [xxii] Delaney, K.J., (2005) Yahoo acquires Flickr creator (United States) Wall Street Journal

    [xxiii] Hood, S., (2008) Delicious is 5 (United States) Delicious blog

    [xxiv] (2017) 10 years of Carbon Neutrality (United States) Google

    [xxv] Bakshi, V. (2018) EUV Lithography (United States) SPIE Press

    [xxvi] Wade, W. (2000) ASML acquires SVG, becomes largest litho supplier (United States) EE Times

    [xxvii] Lammers, D. (1999) U.S. gives ok to ASML on EUV effort (United States) EE Times

    [xxviii] Meade, C., Conway, L. (1979) Introduction to VLSI Systems (United States) Addison-Wesley

    [xxix] Lavagno, L., Martin, G., Scheffer, L., et al (2006) Electronic Design Automation for Integrated Circuits Handbook (United States) Taylor & Francis

    [xxx] (2010) Apple Launches iPad (United States) Apple Inc. website

    [xxxi] (1997) PalmPilot Professional (United Kingdom) Centre for Computing History

    [xxxii] Jobs, S. (2005) Apple WWDC 2005 keynote speech (United States) Apple Inc.

    [xxxiii] (2014) Makimoto’s Wave Revisited for Multicore SoC Design (United States) EE Times

    [xxxiv] Makimoto, T. (2014) Implications of Makimoto’s Wave (United States) IEEE Computer Society

    [xxxv] (2006) Nokia and Yahoo! add Flickr support in Nokia Nseries Multimedia Computers (Germany) Cision PR Newswire

    [xxxvi] Gibson, W. (2007) Spook Country (United States) Putnam Publishing Group

    [xxxvii] The O2O Business In China (China) GAB China

    [xxxviii] Carroll, G. (2008) Web Centric Business Model (United States) Waggener Edstrom Worldwide for LaSalle School of Business, Universitat Ramon Llull, Barcelona

    [xxxix] Carroll, G. (2008) Web of no web (United Kingdom) renaissance chambara

    [xl] Kelly, K. (2018) AR Will Spark the Next Big Tech Platform – Call It Mirrorworld (United States) Wired

    [xli] Heckerman, D. (1988) An Empirical Comparison of Three Inference Methods (United States) Microsoft Research

    [xlii] Sze, V., Chen, Y.H., Yang, T.J., Emer, J. (2017) Efficient Processing of Deep Neural Networks: A Tutorial and Survey (United States) Cornell University

    [xliii] Webber, M. E. (2024) Energy Blog: Is AI Too Power-Hungry for Our Own Good? (United States) American Society of Mechanical Engineers

    [xliv] Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, L., Polosukhin, I. (2017) Attention Is All You Need (United States) 31st Conference on Neural Information Processing Systems (NIPS 2017)

    [xlv] Marche, S. (2024) Was Linguistic A.I. Created By Accident? (United States) The New Yorker.

    [xlvi] Radford, A. (2018) Improving language understanding with unsupervised learning (United States) OpenAI

    [xlvii] Heath, N. (2025) Authors outraged to discover Meta used their pirated work to train its AI systems (Australia) ABC (Australian Broadcast Corporation)

    [xlviii] Morey, M., O’Sullivan, J. (2024) In-brief analysis: Data center owners turn to nuclear as potential energy source (United States) Today in Energy published by U.S. Energy Information Administration

    [xlix] Bradshaw, T., Morris, S. (2024) Microsoft acquires twice as many Nvidia AI chips as tech rivals (United Kingdom) Financial Times

    [l] Smith, C. (2025) ChatGPT’s viral image-generation upgrade is ruining the chatbot for everyone (United States) BGR (Boy Genius Report)

    [li] Wayner, P. (1997) Human Error Cripples the Internet (United States) The New York Times

    [lii] Honan, M. (2013) Killing the Fail Whale with Twitter’s Christopher Fry (United States) Wired

    [liii] Mazarr, M. (2025) The Coming Strategic Revolution of Artificial Intelligence (United States) MIT (Massachusetts Institute of Technology)

    [liv] Knight, W. (2025) DeepSeek’s New AI Model Sparks Shock, Awe, and Questions from US Competitors (United States) Wired

    [lv] Sharwood, S. (2025) Manus mania is here: Chinese ‘general agent’ is this week’s ‘future of AI’ and OpenAI-killer (United Kingdom) The Register

    [lvi] Hewitt, C., Bishop, P., Steiger, R. (1973). A Universal Modular Actor Formalism for Artificial Intelligence. (United States) IJCAI (International Joint Conference on Artificial Intelligence).

    [lvii] Sculley, J. (1987) Keynote Address On The Knowledge Navigator at Educom (United States) Apple Computer Inc.

    [lviii] (1987) Apple’s Future Computer: The Knowledge Navigator (United States) Apple Computer Inc.

    [lix] Kelly, K. (1995) Out of Control: The New Biology of Machines (United States) Fourth Estate

    [lx] Nwana, H.S., Azarmi, N. (1997) Software Agents and Soft Computing: Towards Enhancing Machine Intelligence Concepts and Applications (Germany) Springer

    [lxi] Rifkin, G. (1994) Interface; A Phone That Plays Secretary for Travelers (United States) The New York Times

    [lxii] Richardson, T. (2005) Orange kills Wildfire – finally (United Kingdom) The Register

    [lxiii] Spoonauer, M. (2024) The Truth about the Rabbit R1 – your questions answered about the AI gadget (United States) Tom’s Guide

    [lxiv] Garun, N. (2019) One year later, restaurants are still confused by Google Duplex (United States) The Verge

    [lxv] Roth, E. (2025) Amazon can now buy products from other websites for you (United States) The Verge

    [lxvi] MQ-28 microsite (United States) Boeing Inc.

    [lxvii] Warwick, G. (2019) Boeing Unveils ‘Loyal Wingman’ UAV Developed In Australia (United Kingdom) Aviation Week Network – part of Informa Markets

    [lxviii] Udinmwen, E. (2025) Apple Mac Studio M3 Ultra workstation can run Deepseek R1 671B AI model entirely in memory using less than 200W, reviewer finds (United Kingdom) TechRadar

    [lxix] Kelly, K. (2010) What Technology Wants (United States) Viking Books

    [lxx] Andrews, G.R. (2000) Foundations of Multithreaded, Parallel, and Distributed Programming (United States) Addison-Wesley

    [lxxi] Criddle, C., Olcott, E. (2025) OpenAI says it has evidence China’s DeepSeek used its model to train competitor (United Kingdom) Financial Times

    [lxxii] Russell, J. (2025) China Researchers Report Using Quantum Computer to Fine-Tune Billion Parameter AI Model (United States) HPC Wire

    [lxxiii] Mistral AI home page (France) Mistral AI

    [lxxiv] (2025) High-Speed Autonomous Underwater Effects. Copperhead (United States) Anduril Industries

    [lxxv] Vertex AI with Gemini 1.5 Pro and Gemini 1.5 Flash (United States) Google Cloud website

    [lxxvi] Untersinger, M. (2024) Strava, the exercise app filled with security holes (France) Le Monde

    [lxxvii] Nilsson-Julien, E. (2025) French submarine crew accidentally leak sensitive information through Strava app (France) Le Monde

    [lxxviii] Arsene, Liviu (2018) Hack of US Navy Contractor Nets China 614 Gigabytes of Classified Information (Romania) Bitdefender

    [lxxix] Wendling, M. (2024) What to know about string of US hacks blamed on China (United Kingdom) BBC News

    [lxxx] Kidwell, D. (2020) Cyber espionage for the Chinese government (United States) U.S. Air Force Office of Special Investigations

    [lxxxi] Gorman, S., Cole, A., Dreazen, Y. (2009) Computer Spies Breach Fighter-Jet Project (United States) The Wall Street Journal

    [lxxxii] Bellan, R. (2025) Waymo may use interior camera data to train generative AI models, but riders will be able to opt out (United States) TechCrunch

  • Skype retrospective

    A Skype retrospective was called for once I read that the service was being closed by April 2025.

    Skype retrospective origins.

    Skype was a thing right from the get-go when it launched in August 2003. There had been voice-over-IP (VoIP) services before Skype. Full disclosure, I worked on Deltathree; an Israeli predecessor of Skype.

    About this time, if you needed to make cheap overseas call, you would dial in to a special service and then dial the overseas number. This would relay your call via VoIP. These calls were also facilitated direct from a PC as well using VoIP.

    Previously, telephone calls were charged per voice minute. The further away the call was, the more expensive it was. VoIP disrupted the telecoms cost model.

    Enabling technologies.

    As broadband networks became more prevalent and Wi-Fi meant that you were no longer tethered to the ethernet connection of your router. At the time homes had an area delegated for internet access. Laptops were much less commonplace.

    Classic iMac in residence at Manchester Digital Development Agency

    The original iMac was a success because it was a plug-in and play solution for internet access. It’s iconic ‘candy design’ helped differentiate it from the competitors beige PC.

    By the time Skype was released I had an Apple iBook, a consumer laptop that pioneered the adoption of Wi-Fi, back in 1999, but my first broadband router at home didn’t support Wi-Fi. Broadband, Wi-Fi and 3G networks facilitated the start of Skype. Those networks provided the always-on connectivity to get the most out of the app.

    Low-key start.

    If there was any ‘thought leader’ on VoIP at the time, it would have been Jeff Pulver. Pulver didn’t bother discussing Skype at the time. Instead he was focused on expected government regulation, Vonage, PC VoIP software X-Lite and Windows Messenger.

    Skype first appeared on Pulver’s radar in December 2003, after Red Herring announced that they had secured a first round of venture funding. Pulver praised their ‘viral marketing’.

    It wasn’t obvious that Skype would be a winner.

    Messaging at the time.

    The primary messaging platform at the time in Europe was SMS. Instant messaging was starting to be used informally in workplaces. It was as much about the community norm as anything else. I started off using ICQ with Israeli clients, then Yahoo! Messenger, AIM (AOL Instant Messenger) and MSN Messenger. It was all a bit messy, so I pulled all my accounts together using Adium.

    Take-off.

    Skype quickly took its place on my laptop when it released its first Mac client in March 2004. By the summer, one of my clients at the time got rid of their desk phones when they moved office and had employees do internal and office-to-office calls via Skype-to-Skype instead. Giving someone your Skype ID became as common as giving out your email.

    At the time Skype offered encrypted voice calls held over a peer-to-peer network. The encryption was contentious as it something of Skype’s own design and wasn’t audited.

    In 2005, Skype was sold to eBay. The synergy between them wasn’t clear.

    Joost

    A year later, the Skype founders left and founded The Venice Project aka Joost – a peer to peer video platform. It was a photo-streaming platform. I liked Joost for its sub-Amazon Prime Video film library including obscure 1970s English language overdubbed martial arts films. But there was also Viacom content available.

    Meanwhile under eBay’s ownership, Skype incorporated video calls into its offering. I ended up in a long distance relationship with a Hong Kong-based fellow Mac user and we ended up talking every day via Skype. It even worked when she visited across the border in Shenzhen.

    Mobile impact

    You can’t write a Skype retrospective without talking about its role on mobile.

    3 Skypephone logo

    Hutchison 3G (known as Three), was a cellular carrier brand put together by CK Hutchison to build a global 3G network in Asia and Europe. In 2007, Three launched Skypephone with Skype. The key part of this as an unremarkable looking candy bar handset.

    3 Skypephone (white and pink)

    The Skype phone allowed you to see the status of your Skype contacts on the phone, allowing for presence on the go, in real time (network permitting) which was revolutionary. But we take it for granted on WhatsApp now. There was a couple of forums that gave out widely copied workarounds for the clunky implementation of Skype.

    For some reason Hong Kong always got the best features. You could have two numbers on your phone there. The first number was your proper mobile phone number that worked like you would expect it to. The second was your ‘SkypeIn’ number – a soft telephone service.

    I had worked on pioneer mobile app Yahoo!Go previously, which only allowed email and no VoIP calls. The Skype phone was a major leap forward because it allowed synchronous communications when connected to a network.

    There would have been no WhatsApp, Viber, WeChat or LINE without Skype leading the way.

    A nerdier fact was that the Skype phone ran on the BREW application development platform by Qualcomm. It allowed Java apps to be downloaded directly from early app stores before the iPhone. At the time I was side loading apps from my Mac on to my Palm and Symbian phones.

    Beginning of the end.

    The peak of my Skype use was keeping in touch with my parents when I was working in Hong Kong. Video calling made the world feel closer and they got to see some of Hong Kong with me because of its higher quality 3G network.

    Soon after I got back, we switched to FaceTime. This was for a couple of reasons. Skype had an increasing number of spam accounts and phishing attacks. Secondly, FaceTime had an easier to use interface.

    This is the point in the Skype retrospective when I think that the rot started to set in.

    From a software point of view a big decline occurred in 2016, Microsoft had settled into their purchase of Skype and decided to re-architect the system. Out went the peer-to-peer connections and the system moved onto Microsoft servers to mediate Skype-to-Skype calls.

    The irony of it all is that the distributed web is now the technology du jour.

    Microsoft messed with the user experience and I distinctly remember moving from one version to another and hated the new layout. From then on, it didn’t improve. Skype’s ability to dial out to international numbers was still something that I put to good use, pretty much up to the time of writing. But like an old cheque book, I came to use it less-and less often; knowing that I could still use the service, allowed Skype to be a back-up to a back-up of a back-up.

    At the time I was also using Skype for Business in the office where I worked. It was shambolic with each call timing out around the 30-minute mark.

    Om Malik had a similar experience.

    Skype, was once a beloved product, one that I loved using every day. It was a product I wrote about long before it was trendy. I sent the team feedback. Like all tiny apps that are good at what they do, it became popular and grew really fast. It was sold to eBay, and then re-sold to Microsoft. And that’s when the magic disappeared. Through series of mergers and managers, Skype became an exact opposite of what I loved about it — independent outsider which was great at — chat, messaging and phone calls. It had just enough features, and its desktop client was minimal in its perfection.  Now, as I tweeted in the past, it is “a turd of the highest quality.”

    The final bow

    A Skype retrospective would be remiss, if we didn’t cover the impact that the service has had. While Skype has struggled with scammers and Microsoft’s sub-optimal operation, its legacy lives on.

    The culture of desktop video calls started with Skype. Microsoft Teams, Zoom and Slack are its spiritual successors. A combination of software capability, hot-desking, hybrid working and COVID resulted in long term business behaviour change.

    As I write this, IAG – owners of British Airways, Aer Lingus and Iberia admitted that “business travel had settled into a ‘new normal’ that involved fewer one-day trips with flights, in part because of video meetings.”

    Skype had some current cultural relevance, particularly on TV where presenters would interview someone from outside the studio, for instance an expert calling in from home, Skype would still be the client used.

    At the time of writing, I am looking at Rakuten Viber to substitute my need for a ‘SkypeOut’ analogue.

  • February 2025 newsletter

    February 2025 newsletter introduction

    Welcome to my February 2025 newsletter, I hope that your year of the snake has gotten off to a great start. This newsletter marks my 19th issue – which feels a really short time and strangely long as well, thank you for those of you who have been on the journey so far as subscribers to this humble publication. Prior to writing this newsletter, I found that the number 19 has some interesting connections.

    In mandarin Chinese, 19 sounds similar to ‘forever’ and is considered to be lucky by some people, but the belief isn’t as common as 8, 88 or 888.

    Anyone who listened to pop radio in the mid-1980s to mid-1990s would be familiar with Paul Hardcastle’s documentary sampling ’19’. The song mixed narration by Clark Kent and sampled news archive footage of the Vietnam war including news reports by read by Walter Cronkite. 19 came from what was cited as the average age of the soldier serving in Vietnam, however this is disputed by Vietnam veteran organisation who claim that the correct number was 22. The veteran’s group did a lot of research to provide accurate information about the conflict, overturning common mistakes repeated as truth in the media. It’s a handy reminder that fallacies and trust in media began way before the commercial internet.

    New reader?

    If this is the first newsletter, welcome! You can find my regular writings here and more about me here. 

    Strategic outcomes

    Things I’ve written.

    • Zing + more things – HSBC’s Zing payments system was shut down and was emblematic of a wider challenge in legacy financial institutions trying to compete against ‘fintech startups. I covered several other things as well including new sensor technology
    • The 1000 Yen ramen wall is closing down family restaurants across Japan. A confluence of no consumer tolerance for price elasticity due to inflation driven ingredients costs is driving them to the wall. Innovation and product differentiation have not made a difference.
    • Luxury wellness – why luxury is looking at wellness, what are the thematic opportunities and what would be the competitors for the main luxury marketing conglomerates be successful.
    • Technical capability notice – having read thoroughly about the allegations that Apple had been served with an order by the British government to provide access to its customer iCloud drive data globally – I still don’t know what to think, but didn’t manage to assuage any of my concerns.

    Books that I have read.

    • World Without End: The million-copy selling graphic novel about climate change by Jean-Marc Jancovici and Christophe Blain. In Japan, graphic novels regularly non-fiction topics like text books or biographies. A French climate scientist and illustrator collaborated to take a similar approach for climate change and the energy crisis. Their work cuts through false pre-conceptions and trite solutions with science.
    World without end by Jancovici & Blain
    • Laws of UX by Jon Yablonski. Yablonski breaks down a number of heuristics or razors based on psychological research and how it applies to user experience. These included: Jakob’s Law, Fitt’s Law, Hick’s Law, Miller’s Law, Peak-End Rule and Tesler’s Law (on complexity). While the book focuses on UX, I thought of ways that the thinking could be applied to various aspects of advertising strategy.
    • I re-read Hooked: How to Build Habit-Forming Products by Nir Eyal. Eyal’s model did a good job at synthesising B.J. Fogg’s work on persuasive computing, simplifying it into a model that the most casual reader can take and run with it.
    • Kapferer on Luxury by Jean-Noël Kapferer covers the modern rise of luxury brands as we now know them. Like Dana Thomas’ Deluxe – how luxury lost its lustre Kapferer addresses the mistake of globalised manufacturing and massification of luxury. However Kapferer points out the ‘secret sauce’ that makes luxury products luxurious: the hybridisation of luxury with art and the concept of ‘incomparability’. The absence of both factors explain why British heritage brands from Burberry to Mulberry have failed in their current incarnations as luxury brands.
    • Black Magic by Masamune Shirow is a manga work from 1983. Masamune is now best known for the creation of Ghost In The Shell which has been turned into a number of anime films, TV series and even a whitewashed Hollywood remake. Despite the title, Black Magic has more in common with space operas like Valerian & Laureline by Pierre Christin and Jean-Claude Mézières than the occult. In the book Masamune explores some of the ideas which he then more fully developed in Ghost In The Shell including autonomous weapons, robots and machine intelligence.
    • Doll by Ed McBain. Doll was a police procedural novel written in 1965 that focused on the model agency industry at the time. The novel is unusual in that it features various artistic flourishes including a model portfolio and hand written letters with different styles of penmanship. The author under the McBain pen name managed to produce over 50 novels. They all have taunt dialogue that’s ready for TV and some of them were adapted for broadcast, notably as an episode of Columbo. You can see the influence of McBain’s work in the likes of Dick Wolf’s productions like the Law & Order, FBI and On Call TV series franchises.

    Things I have been inspired by.

    Can money make you happy?

    Past research indicated that happiness from wealth plateaued out with a middle class salary. The latest research via the Wharton School at the University of Pennsylvania indicates that might not be the case instead, earning more makes you happier and there might not be a point at which one has enough. The upper limit on the research seems to have been restricted by finding sufficiently rich research respondents rather than natural inclination. As a consumer insight that has profound implications in marketing across a range of sectors from gaming to pensions and savings products.

    AgeTech

    I came across the concept of ‘agetech’ while looking for research launched in time for CES in Las Vegas (7 – 11, January 2025). In the US, the Consumer Technology Association (CTA) and American Association of Retired People (AARP) have put together a set of deep qualitative and quantitative research looking at the needs of the ‘aged consumer’ for ‘AgeTech’. AgeTech isn’t your Grandma iPad or your boomer CEO’s laptop. Instead it is products that sit at the intersection of health, accessibility and taking care of oneself in the home. The top five perceived age technologies are connected medical alert devices,digital blood pressure monitors, electric or powered wheelchairs/scooters, indoor security cameras, and electronic medication pill dispenser/reminders. Their report 2023 Tech and the 50-Plus, noted that technology spending among those 50-plus in America is forecast to be more than $120 billion by 2030. Admittedly, that ’50-plus’ label could encompass people at the height of their career and family households – but it’s a big number.

    It even has a negative impact on the supply side of the housing market for younger generations:

    The overwhelming majority (95%) of Americans aged 55 and older agree that aging in place – “the ability to live in one’s own home and community safely, independently, and comfortably, regardless of age, income, or ability level” – is an important goal for them. This is up from 93% in 2023.

    The Mayfair Set v 2.0

    Spiv

    During the summer of 1999, a set of documentaries by Adam Curtis covered the reinvention of business during the latter half of the 20th century was broadcast. I got to discover The Mayfair Set much later on. In the documentaries it covered how the social contract between corporates and their communities was broken down and buccaneering entrepreneurs disrupted societal and legal norms for profit. There is a sense of de ja vu from watching the series in Meta’s business pivots to the UK government’s approach to intellectual property rights for the benefit of generative AI model building.

    It probably won’t end well, with the UK population being all the poorer for it.

    The Californian Ideology

    As to why The Mayfair Set 2.0 is happening, we can actually go back to a 1995 essay by two UK based media theorists who were at the University of Westminster at the time. It was originally published in Mute magazine.

    This new faith has emerged from a bizarre fusion of the cultural bohemianism of San Francisco with the hi-tech industries of Silicon Valley. Promoted in magazines, books, TV programmes, websites, newsgroups and Net conferences, the Californian Ideology promiscuously combines the free-wheeling spirit of the hippies and the entrepreneurial zeal of the yuppies. This amalgamation of opposites has been achieved through a profound faith in the emancipatory potential of the new information technologies. In the digital utopia, everybody will be both hip and rich. Not surprisingly, this optimistic vision of the future has been enthusiastically embraced by computer nerds, slacker students, innovative capitalists, social activists, trendy academics, futurist bureaucrats and opportunistic politicians across the USA. 

    It reads like all these things at once:

    • A prescient foreshadowing from the past.
    • Any Stewart Brand op-ed piece from 1993 onwards.
    • The introduction from an as-yet ghost written book on behalf of Sam Altman, a la Bill Gates The Road Ahead.
    • A mid-1990s fever dream from the minds of speculative fiction authors like Neal Stephenson, William Gibson or Bruce Sterling.

    What the essay makes clear is that Peter Thiel, Larry Ellison and Elon Musk are part of a decades long continuum of Californian Ideology, all be it greatly accelerated; rather than a new thing. One of the main differences is that the digital artisans no longer have a chance to get rich with their company through generous stock options.

    Jobsmobile

    Even Steve Jobs fitted in with the pattern. For a hippy he drove a 5 litre Mercedes sports car, parked in the handicapped spaces in the Apple car park and had a part in firing Apple’s first gay CEO: Michael Scott because of homophobia and Scott’s David Brent-like handling of Black Wednesday. It may be a coincidence that Tim Cook didn’t come out publicly as gay until over three years after Steve Jobs died.

    … a European strategy for developing the new information technologies must openly acknowledge the inevitability of some form of mixed economy – the creative and antagonistic mix of state, corporate and DIY initiatives. The indeterminacy of the digital future is a result of the ubiquity of this mixed economy within the modern world. No one knows exactly what the relative strengths of each component will be, but collective action can ensure that no social group is deliberately excluded from cyberspace.

    A European strategy for the information age must also celebrate the creative powers of the digital artisans. Because their labour cannot be deskilled or mechanised, members of the ‘virtual class’ exercise great control over their own work. Rather than succumbing to the fatalism of the Californian Ideology, we should embrace the Promethean possibilities of hypermedia. Within the limitations of the mixed economy, digital artisans are able to invent something completely new – something which has not beenpredicted in any sci-fi novel. These innovative forms of knowledge and communications will sample the achievements of others, including some aspects of the Californian Ideology. It is now impossible for any serious movement for social emancipation not to incorporate feminism, drug culture, gay liberation, ethnic identity and other issues pioneered by West Coast radicals. Similarly, any attempt to develop hypermedia within Europe will need some of the entrepreneurial zeal and can-do attitude championed by the Californian New Right. Yet, at the same time, the development of hypermedia means innovation, creativity and invention. There are no precedents for all aspects of the digital future. As pioneers of the new, the digital artisans need to reconnect themselves with the theory and practice ofproductive art. They are not just employees of others – or even would-be cybernetic entrepreneurs.

    They are also artist-engineers – designers of the next stage of modernity.

    Barbrook and Cameron rejected the idea of a straight replication of the Californian Ideology in a European context. Doing so, despite what is written in the media, is more like the rituals of a cargo cult. Instead they recommended fostering a new European culture to address the strengths, failings and contradictions implicit in the Californian Ideology.

    Chart of the month: consumer price increases vs. wage increases

    This one chart based on consumer price increases and wage increases from 2020 – 2024 tells you everything you need to know about UK consumer sentiment and the everyday struggle to make ends meet.

    Consumer prices vs. wage increases

    Things I have watched. 

    The Organization – Sydney Poitier’s last outing as Virgil Tibbs. The Organization as a title harks back to the 1950s, to back when the FBI were denying that the Mafia even existed. Organised crime in popular culture was thought to be a parallel corporation similar to corporate America, but crooked. It featured in the books of Richard Stark. This was despite law enforcement stumbling on the American mafia’s governing body in 1957. Part of this was down to the fact that the authorities believed that the American arm of the mafia were a bulwark against communism. Back to the film, it starts with an ingenious heist set piece and then develops through a series twists and turns through San Francisco. It was a surprisingly awarding film to watch.

    Nakita – Nakita is an early Luc Besson movie made after Subway and The Big Blue. It’s an action film that prioritises style and attitude over fidelity to tactical considerations. The junkies at the start of the film feel like refugees from a Mad Max film who have happened to invade a large French town at night. It is now considered part of the ‘cinéma du look’ film movement of the 1980s through to the early 1990s which also features films like Diva and Subway. Jean Reno’s character of Victor the Cleaner foreshadows his later breakout role as Leon. It was a style of its time drawing on similar vibes of more artistic TV ads, music videos, Michael Mann’s Miami Vice TV series and films Thief and Manhunter.

    Stephen Norrington’s original Blade film owes a lot to rave culture and cinéma du look as it does to the comic canon on which it’s based. It’s high energy and packed with personality rather like a darker version of the first Guardians of The Galaxy film. Blade as a character was influenced by blaxploitation characters like Shaft in a Marvel series about a team of vampire hunters. Watching the film almost three decades after it came out, it felt atemporal – from another dimension rather than from the past per se. Norrington’s career came off the rails after his adaption of The League of Extraordinary Gentlemen did badly at the box office and star Wesley Snipes went to jail for tax-related offences.

    The Magnificent Seven – I watched the film a couple of times during my childhood. John Sturges had already directed a number of iconic films: Bad Day at Black Rock and Gunfight at The OK Corral. With The Magnificent Seven, he borrowed from The Seven Samurai. It was a ‘Zappata western’ covering the period of the Mexican revolution and was shot in Cuernavaca, Mexico. The film did two things to childhood me: made me curious about Japanese cinema and storytelling. There are some connections to subsequent Spaghetti Westerns:

    • Sergio Leone’s A Fistful of Dollars (shot in 1964 would borrow from another Akira Kurosawa film Roshomon)
    • Eli Wallach played a complex Mexican villain in both The Magnificent Seven and Leone’s The Good, The Bad & The Ugly.
    • The visual styling of the film is similar to spaghetti westerns, though the clothes were still too clean, Yul Brynner’s role as the tragic hero in black is a world-away from the traditional Hollywood coding of the good guys wearing white hats (or US cavalry uniforms).
    • The tight, sparse dialogue set the standard for the Dollars Trilogy and action films moving forward
    • Zappata westerns were the fuel for more pro-leftist films in the spaghetti western genre. While The Magnificent Seven still has a decidedly western gaze, it took on racism surprisingly on the nose for a Hollywood film of this era.

    Watching it now as a more seasoned film watcher only sharpened my appreciation of The Magnificent Seven.

    Breaking News by Johnnie To feels as much about now as it when the film was shot 20 years ago. First time I watched it was on the back of a head rest on a Cathay Pacific flight at the time. Back then I was tired and just let the film wash over me. This time I took a more deliberate approach to appreciating the film. In the film the Hong Kong Police try and control and master the Hong Kong public opinion as a robbery goes wrong. However the Hong Kong Police don’t have it all their own way as the criminals wage their own information campaign. This film also has the usual tropes you expect from Hong Kong genre of heroic bloodshed films with amazing plot twists and choreographed action scenes along with the spectacular locations within Hong Kong itself. Watching it this time, I got to appreciate the details such as the cowardly dead-beat Dad Yip played by veteran character actor Suet Lam.

    Useful tools.

    Current and future uncertainties.

    current and future uncertainties

    This could be used as thought starters for thinking about business problems for horizon scanning and scenario planning. It’s ideal as fuel for you to then develop a client workshop from. But I wouldn’t use something this information dense in a client-facing document. You can download it as a high resolution PDF here.

    Guide to iPhone security

    Given the propensity of phone snatching to take over bank accounts and the need to secure work phones, the EFF guide to securing your iPhone has a useful set of reminders and how-to instructions for privacy and security settings here.

    Novel recommendations

    I got this from Neil Perkin, an LLM-driven fictional book recommendation engine. It has been trained on Goodreads (which reminds me I need to update my Goodreads profile). When I asked it for ‘modern spy novels with the class of John Le Carre’ it gave me Mick Herron’s Slow Horses, Chris Pavone’s The Expats and Chris Cumming’s The Trinity Six. All of which were solid recommendations.

    Smartphone tripod

    Whether it’s taking a picture of a workshop’s forest of post-it notes or an Instagrammable sunset a steady stand can be really useful. Peak Design (who were falsely accused of being a ‘snitch‘) have come up with a really elegant mobile tripod design that utilises the MagSafe section on the back of an iPhone.

    Apple Notes alternative

    I am a big fan of Apple Notes as an app. I draft in it, sync ideas and thoughts across devices using it. But for some people that might not work – different folks for different strokes. I was impressed bu the quality of Bear which is a multi-platform alternative to the default Notes app.

    The sales pitch.

    I am now taking bookings for strategic engagements; or discussions on permanent roles. Contact me here.

    More on what I have done here.

    bit.ly_gedstrategy

    The End.

    Ok this is the end of my February 2025 newsletter, I hope to see you all back here again in a month. Be excellent to each other and onward into March.

    Don’t forget to share if you found it useful, interesting or insightful.

    Get in touch if there is anything that you’d like to recommend for the newsletter.

  • Technical capability notice

    The Washington Post alleged that the British government had served a technical capability notice against Apple in December 2024 to provide backdoor global access into encrypted Apple iCloud services. The BBC’s subsequent report appears to support the Post’s allegations. And begs philosophical question about what it means when the government has a copy of your ‘digital twin’?

    DALL-E surveillance image

    What is a technical capability notice

    A technical capability notice is a legal document. It is issued by the UK government that compels a telecoms provider or technology company that compels them to maintain the technical ability to assist with surveillance activities like interception of communications, equipment interference, or data acquisition. When applied to telecoms companies and internet service providers, it is usually UK only in scope. What is interesting about the technical capability notice allegedly served against Apple is extra-territorial in nature. The recipient of a technical capability notice, isn’t allowed to disclose that they’ve been served with the notice, let alone the scope of the ask.

    Apple outlined a number of concerns to the UK parliament in March 2024:

    • Breaks systems
    • Lack of accountability in the secrecy
    • Extra-territoriality

    Tl;DR – what the UK wants with technical capability notices is disproportionate.

    Short history of privacy

    The expectation of privacy in the UK is a relatively recent one. You can see British spy operations going back to at leas the 16th century with Sir Francis Walsingham. Walsingham had a network that read couriered mail and cracked codes in Elizabethan England.

    By Victorian times, you had Special Branch attached to the Metropolitan Police and related units across the British Empire. The Boer War saw Britain found permanent military intelligence units that was the forerunner of the current security services.

    By world war one the security services as we now know them were formed. They were responsible to intercept mail, telegraph, radio transmissions and telephone conversations where needed.

    Technology lept forward after World War 2.

    ECHELON

    ECHELON was a cold war era global signals intelligence network ran by Australia, Canada, New Zealand, the UK and the US. It originated in the late 1960s to monitor the military and diplomatic communications of the Soviet Union and its Eastern Bloc allies during the Cold War, the ECHELON project became formally established in 1971.

    ECHELON was partly inspired by earlier US projects. Project SHAMROCK had started in 1940 and ran through to the 1970s photographing telegram communications in the US, or transiting through the US. Project MINARET tracked the electronic communications of listed American citizens who travelled abroad. They were helped in this process by British signals intelligence agency GCHQ.

    In 2000, the European Commission filed a final report on ECHELON claimed that:

    • The US-led electronic intelligence-gathering network existed
    • It was used to provide US companies with a competitive advantage vis-à-vis their European peers; rather like US defence contractors have alleged to undergone by Chinese hackers

    Capenhurst microwave tower

    During the cold war, one of the main ways that Irish international data and voice calls were transmitted was via a microwave land bridge across England and on to the continent.

    Microwave Network

    Dublin Dame Court to Holyhead, Llandudno and on to Heaton Park. Just next to the straight line path between Llandudno and Heaton Park was a 150 foot tower in Capenhurst on the Wirral. This siphoned off a copy of all Irish data into the British intelligence system.

    Post-Echelon

    After 9/11, there were widespread concerns about the US PATRIOT Act that obligated US internet platforms to provide their data to US government, wherever that data was hosted. After Echelon was exposed, it took Edward Snowden to reveal PRISM that showed how the NSA was hoovering up data from popular internet services such as Yahoo! and Google.

    RAMPART-A was a similar operation taking data directly from the world’s major fibre-optic cables.

    US programme BULLRUN and UK programme Edgehill were programmes designed to crack encrypted communications.

    So privacy is a relatively new concept that relies the inability to process all the data taken in.

    Going after the encrypted iCloud services hits different. We are all cyborgs now, smartphones are our machine augmentation and are seldom out of reach. Peering into the cloud ‘twin’ of our device is like peering into our heads. Giving indications of hopes, weaknesses and intent. Which can then be taken and interpreted in many different ways.

    What would be the positive reasons to do a technical capability notice?

    Crime

    Increasing technological sophistication has gone hand in hand with the rise of organised crime groups and new criminal business models such as ‘Klad’. Organised crime is also transnational in nature.

    But criminals have already had access to dedicated criminal messaging networks, a couple of which were detailed in Joseph Cox’ Dark Wire . They use the dark web, Telegram and Facebook Marketplace as outlets for their sales.

    According to Statista less than six percent of crimes in committed in the UK resulted in a charge or summons in 2023. That compares to just under 16 percent in 2015.

    Is going after Apple really going to result in an increased conviction rate, or could the resources be better used elsewhere?

    Public disorder

    Both the 2011 and 2024 riots caught the government off-guard. Back in 2011, there was concern that the perpetrators were organising over secure BlackBerry messaging. The reality that the bulk of it was being done over social media. It was a similar case with the 2024 public disturbances as well.

    So gaining access to iCloud data wouldn’t be that much help. Given the effort to filter through it, given that the signals and evidence were out there in public for everyone to see.

    The big challenge for the police was marshalling sufficient resources and the online narrative that took on a momentum of its own.

    Paedophiles

    One of the politicians strongest cards to justify invasion of privacy is to protect against nonces, paedos and whatever other label you use to describe the distribution of child sexual abuse images. It’s a powerful, emotive subject that hits like a gut punch. The UK government has been trying to explore ways of understanding the size of abuse in the UK.

    Most child abuse happens in the home, or by close family members. Child pornography rings are more complex with content being made around the world, repeatedly circulated for years though various media. A significant amount of the content is produced by minors themselves – such as selfies.

    The government has a raft of recommendations to implement from the The Independent Inquiry into Child Sexual Abuse. These changes are more urgently needed like getting the police to pay attention to vulnerable working-class children when they come forward.

    Terrorism

    The UK government puts a lot of work into preventing and combating terrorism. What terrorism is has evolved over time. Historically, cells would mount terrorist attacks.

    Eventually, the expectation of the protagonist surviving the attack changed with the advent of suicide tactics. Between 1945 and 1980, these were virtually unheard of. The pioneers seem to have been Hezbollah against UN peacekeepers in Lebanon.

    This went on to influence 9/11 and the London bombings. The 9/11 commission found that the security services didn’t suffer from a lack of information, but challenges in processing and acting on the information.

    More recently many attacks have been single actors, rather than a larger conspiracy. Much of the signs available was in their online spiral into radicalisation, whether its right-wingers looking to follow the example of The Turner Diaries, or those that look towards groups like ISIS.

    Axel Rudakubana’s actions in Southport doesn’t currently fit into the UK government’s definition of terrorism because of his lack of ideology.

    I am less sure what the case would be for being able to access every Apple’s cloud twin of their iPhone. The challenge seems to be in the volume of data and meta data to sift through, rather than a lack of data.

    Pre-Crime

    Mining data on enough smartphones over time may show up patterns that might indicate an intent to do a crime. Essentially the promise of predictive crime solving promised in the Tom Cruise dystopian speculative future film Minority Report.

    Currently the UK legal system tends to focus on people having committed a crime, the closest we have to pre-crime was more intelligence led operations during The Troubles that were investigated by the yet to be published Stalker/Sampson Inquiry.

    There are so many technical, philosophical and ethical issues with this concept – starting with what it means for free will.

    What are the negative reasons for doing a technical capability notice?

    There are tensions between the UK government’s stated opinion on encrypted services and the desire to access the data, outlined in Written testimony of Chloe Squires, Director National Security, Home Office.

    The UK Government supports strong encryption and understands its importance for a free, open and secure internet and as part of creating a strong digital economy. We believe encryption is a necessary part of protecting our citizens’ data online and billions of people use it every day for a range of services including banking, commerce and communications. We do not want to compromise the wider safety or security of digital products and services for law abiding users or impose solutions on technology companies that may not work within their complex systems.

    Extra-territorial reach

    Concerns about the US PATRIOT Act and PRISM saw US technology companies lose commercial and government clients across Europe. Microsoft and Alphabet were impacted by losing business from the likes of UK defence contractor BAE Systems and the Swedish government.

    The UK would likely experience a similar effect. Given that the UK is looking to biotechnology and technology as key sectors to drive economic growth, this is likely to have negative impact on:

    • British businesses looking to sell technology services abroad (DarkTrace, Detica and countless fintech businesses). They will lose existing business and struggle to make new sales.
    • Britain’s attractiveness to inbound investments be it software development, regional headquarter functions or infrastructure such as data centres. Having no exposure to the UK market may be more attractive to companies handling sensitive data.
    • You have seen a similar patten roll out in Hong Kong as more companies have moved regional headquarters to Singapore instead.

    The scope of the technical capability notice, as it is perceived, damages UK arguments around freedom-of-speech. State surveillance is considered to have a chilling effect in civilian discussions and has been criticized in the past, yet the iCloud backdoor access could be considered to do the exactly same thing as the British government opposes in countries like China, Hong Kong and Iran.

    Leverage

    The UK government has a challenge in terms of the leverage that it can bring to bear on foreign technology multinationals. While the country has a sizeable market and talented workforce, it’s a small part of these companies global revenues and capabilities.

    They can dial down services in the UK, or they can withdraw completely from the UK marketplace taking their jobs and infrastructure investment with them. Apple supports 550,000 jobs through direct employment, its supply chain, and the iOS app economy. In 2024, Apple claimed that it had invested over £18 billion over the previous five years.

    In terms of the number of people employed through Apple, it’s a big number, let me try to bring it to life for you. Imagine for a moment if every vehicle factory (making cars, tractors,, construction vehicles, race cars and wagons), parts plant, research and development, MOT station, dealership and repair shop in the UK fired half their staff. That is the toll that Apple leaving the UK would have on unemployment.

    Now think about how that would ripple through the community. Less goods bought in the supermarket, less pints poured in a pub or less frequent hair cuts given.

    Where’s the power in the relationship between the tech sector and the government?

    Precedent

    Once it is rumoured that Apple has given into one country’s demands. The equivalent of technical capability notices are likely to be employed by governments around the world. Apple would find it hard not to provide similar access to other 5is countries, China, India and the Gulf states.

    Even if they weren’t provided with access, it’s a lot easier to break in when you know that a backdoor already exists. A classic example of this in a different area is the shock-and-awe felt when DeepSeek demonstrated a more efficient version of a ChatGPT-like LLM. The team had a good understanding of what was possible and started from there.

    The backdoor will be discovered, if not by hackers then by disclosure like the Capenhurst microwave tower that was known about soon after it went up, or by a Edward Snowden-like whistle-blower given the amount of people that would have access to that information in allied security apparatus.

    This would leave people vulnerable from around the world to authoritarian regimes. The UK is currently home to thousands of political emigres from Hong Kong who are already under pressure from the organs of the Chinese state.

    Nigel Farage

    From a domestic point-of-view while the UK security services are likely to be extremely professional, their political masters can be of a more variable quality. An authoritarian populist leader could put backdoors allowed by a technical capability notice to good use.

    Criminal access

    The hackers used by intelligence services, especially those attributed to China and Russia have a reputation for double-dipping. Using it for their intelligence masters and then also looking to make a personal profit by nefarious means. Databases of iCloud data would be very tempting to exploit for criminal gain, or sell on to other criminals allowing them to mine bank accounts, credit cards, conduct retail fraud.

    Vladimir Putin

    It could even be used against a country’s civilians and their economy as a form of hybrid warfare that would be hard to attribute.

    Xi Jinping

    In the past intelligence agencies were limited in terms of processing the sea of data that they obtained. But technology moves on, allowing more and more data to be sifted and processed over time.

    What can you do?

    You’ve got nothing to hide, so why worry? With the best will in the world, you do have things to hide, if not from the UK government then from foreign state actors and criminals – who are often the same people:

    • Your bank account and other financial related logins
    • Personal details
    • Messages that could be taken out of context
    • I am presuming that you don’t have your children’s photos on your social media where they can be easily mined and fuel online bullying. Your children’s photos on your phone could be deep faked by paedophiles or scammers.
    • Voice memos that can be used to train a voice scammer’s AI to be good enough
    • Client and proprietary information
    • Digital vehicle key
    • Access to academic credentials
    • Access to government services

    So, what should you do?

    Here’s some starting suggestions:

    • Get rid of your kids photos off your phone. Get a digital camera, have prints made to put in your wallet, a photo album book, use an electronic picture frame that can take an SD card of images and doesn’t connect to the web or use a cloud service.
    • Set up multi-factor authentication on passwords if you can. It won’t protect you against a government, but it will make life a bit more difficult for criminals who may move on to hacking someone else’s account instead – given that there is a criminal eco-system to sell data en-masse.
    • Use the Apple password app to generate passwords, but keep the record off them offline in a notebook. If you are writing them down, have two copies and use legible handwriting.
    • You could delete ‘important’ contacts from your address book and use an old school filofax or Rolodex frame for them instead. You’re not likely to be able to do this with all your contacts, it wouldn’t be practical. If you are writing them down, have two copies and use legible handwriting.
    • Have a code word with loved ones. Given that a dump of your iCloud service may include enough training data for a good voice AI, having a code word to use with your loved ones could prevent them from getting scammed. I put this in place ages ago as there is enough video out there on the internet of me in a public speaking scenario to train a passable voice generative AI tool.
    • Use Signal for messaging with family and commercially sensitive conversations.
    • My friend and former Mac journalist Ian Betteridge recommended using an alternative service like Swiss-based Proton Cloud. He points out that they are out of the legal jurisdiction of both the US and UK. However, one has to consider history – Crypto AG was a Swiss-based cryptography company actually owned by the CIA. It gave the intelligence agency access to secure communications of 120 countries including India, Pakistan and the Holy See. Numerous intelligence services including the Swiss benefited from the intelligence gained. So consider carefully what you save to the cloud.
    • if you are not resident in the UK, consider using ‘burn devices’ with separate cloud services. When I worked abroad, we had to do client visits in an authoritarian country. I took a different cellphone and laptop to protect commercially sensitive information. When I returned these were both hard reset by the IT guy and were ready for future visits. Both devices only used a subset of my data and didn’t connect to my normal cloud services, reducing the risk of infiltration and contamination. The mindset of wanting to access cloud services around the world may be just the thin end of the wedge. Countries generally don’t put down industrial and political espionage as justifications for their intelligence services powers.

    What can criminals do?

    Criminals already have experience procuring dedicated secure messaging services.

    While both dark web services and messaging platforms have been shut down, there is an opportunity to move the infrastructure into geographies that are less accessible to western law enforcement: China, Hong Kong, Macau or Russia for instance. A technical capability notice is of no use. The security services have two options to catch criminals out:

    • Obtain end devices on the criminal:
      • While they are unlocked and put them in a faraday cage to prevent the device from being wiped remotely.
      • Have an informant give you access to their device.
    • Crack the platform:
      • Through hacking
      • Setting the platform up as a sting in the first place.

    If the two criminals are known to each other a second option is to go old school using a one-time pad. This might be both having the same edition of a book with each letter or word advancing through the book .

    So if you used the word ‘cat’ as the fourth word on line 3 of page 2 in a book you might get something like 4.3.2, which will mean nothing if you don’t have the same book and if the person who wrote the message or their correspondent don’t use 4.3.2 to signify cat again. Instead they would move onwards through the book to find the next ‘cat’ word. A sleuthing cryptographer may be able to guess your method of encryption by the increasing numbers, but unless they know the book your feline secret is secure from their efforts.

    NSA DIANA one time pad

    Above is two pages from an old one-time pad issued by the NSA called DIANA.

    The point is, those criminals that really want to evade security service understanding their business can do. Many criminals in the UK are more likely to rely on a certain amount of basic tactics (gloves, concealing their face, threatening witnesses) and the low crime clearance rate in the UK.

    Instead of a technical capability notice, these criminals are usually caught by things like meta analysis (who is calling who, who is messaging who, who is transferring money etc.), investigative police work including stings, surveillance and informers.

    Why?

    Which begs the questions:

    • Why Apple and why did they choose to serve it in December 2024?
    • What trade-offs have the UK government factored in considering the potiential impact on its economic growth agenda and political ramifications?
    • The who-and-why of the leak itself? Finally, the timing of the leak was interesting, in the early days of the Trump administration.

    I don’t know how I feel about the alleged technical capability notice and have more questions than answers.

    More information

    European Commission Final Report on Echelon  and coverage that appeared at the time of the report’s release: EU releases Echelon spying report • The Register

    Patriot Act und Cloud Computing | iX – German technology press on the risks posed by the Patriot Act

    US surveillance revelations deepen European fears | Reuters – PRISM negatively impacted US technology companies

    NSA’s Prism surveillance program: how it works and what it can do | guardian.co.uk

    The strange similarities in Google, Facebook, and Apple’s PRISM denials | VentureBeat

    Tech Giants Built Segregated Systems For NSA Instead Of Firehoses To Protect Innocent Users From PRISM | TechCrunch

    Computer Network Exploitation vs. Computer Network Attack | Schneier on Security

    EXPLANATORY MEMORANDUM TO THE INVESTIGATORY POWERS (TECHNICAL CAPABILITY) REGULATIONS 2018

  • Pagers + more things

    Pagers

    Pagers went back into the news recently with Hizbollah’s exploding pagers. YouTuber Perun has done a really good run down of what happened.

    Based on Google Analytics information about my readership the idea of pagers might need an explanation. You’ve probably used a pager already, but not realised it yet.

    A Twosome Place wifi puck
    A restaurant pager from Korean coffee shop / dessert café A Twosome Place.

    For instance if you’ve been at a restaurant and given puck that brings when your table is ready, that’s a pager. The reason why its big it to prevent customers stealing them rather than the technology being bulky.

    On a telecoms level, it’s a similar principle but on a bigger scale. A transmitter sends out a signal to a particular device. In early commercial pagers launched in the 1960s such as the ‘Bellboy’ service, the device made a noise and you then got to a telephone, phoned up a service centre to receive a message left for you. Over time, the devices shrunk from something the size of a television remote control to even smaller than a box of matches. The limit to how small the devices got depended on display size and battery size. You also got displays that showed a phone number to call back.

    By the time I had a pager, they started to get a little bigger again because they had displays that could send both words and numbers. These tended to be shorter than an SMS message and operators used shortcuts for many words in a similar way to instant messaging and text messaging. The key difference was that most messages weren’t frivolous emotional ‘touchbases’ and didnt use emojis.

    Beepers
    A Motorola that was of a similar vintage to the one I owned.

    When I was in college, cellphones were expensive, but just starting to get cheaper. The electronic pager was a good half-way house. When I was doing course work, I could be reached via my pager number. Recruiters found it easier to get hold of me, which meant I got better jobs during holiday time as a student.

    I moved to cellphone after college when I got a deal at Carphone Warehouse. One Motorola Graphite GSM phone which allowed two lines of SMS text to be displayed. I had an plan that included the handset that cost £130 and got 12 months usage. For which I got a monthly allowance of 15 minutes local talk time a month.

    I remember getting a call about winning my first agency job, driving down a country road with the phone tucked under my chin as I pulled over to take the call. By this time mobile phones were revolutionising small businesses with tradesmen being able to take their office with them.

    The internet and greater data speeds further enhanced that effect.

    Pagers still found their place as communications back-up channel in hospitals and some industrial sites. Satellite communications allowed pagers to be reached in places mobile networks haven’t gone, without the high cost of satellite phones.

    That being said, the NHS are in the process of getting rid of their pagers after COVID and prior to COVID many treatment teams had already moved to WhatsApp groups on smartphones. Japan had already closed down their last telecoms pager network by the mid-2010s. Satellite two-way pagers are still a niche application for hikers and other outward bound activities.

    Perun goes into the reasons why pagers were attractive to Hesbollah:

    • They receive and don’t transmit back. (Although there were 2-way pager networks that begat the likes of the BlackBerry device based on the likes of Ericsson’s Mobitex service.)
    • The pager doesn’t know your location. It doesn’t have access to GNSS systems like GPS, Beidou, Gallileo or GLONASS. It doesn’t have access to cellular network triangulation. Messages can’t transmit long messages, but you have to assume that messages are sent ‘in the clear’ that is can be read widely.

    Consumer behaviour

    Yes, CEOs are moving left, but ‘woke capitalism’ is not the whole story | FT

    Culture

    ‘We were cheeky outlaws getting away with it’: the total euphoria of Liverpool’s 90s club scene | The Guardian – maybe one day I will tell my side of this tale. It’s all a bit more nuanced and I was stone cold sober throughout it all, which is a rare perspective.

    Economics

    Invest 2035: the UK’s modern industrial strategy – GOV.UK

    Corporate Germany is on sale | FT

    Health

    Ukraine’s pioneering virtual reality PTSD therapy | The Counteroffensive

    Korea

    The sabukaru Guide to Seoul’s PC Room Culture | Sabukaru

    Luxury

    How luxury priced itself out of the market | FT – brands have tested the elasticity of pricing and pushed beyond the limits for their middle class customer base

    Watch-maker Jaeger-LeCoultre expands into fragrances inspired by its Reverso dress watches: Jaeger-LeCoultre fragrances take form | Luxury Daily

    Ozempic is transforming your gym | FT, The Vogue Business Spring/Summer 2025 size inclusivity report | Vogue Business – GLP-1s blamed for stalled progress.

    Ferrari, Hermès lead global luxury brand growth in 2024: Interbrand | Luxury Daily

    What is Chinese style today? | Vogue Business – street style at Shanghai Fashion Week has been low-key. The bold looks of the past have given way to a softer aesthetic that’s more layered and feminine, with nods to Chinese culture and history. This pared-back vibe was also found on the runways. Part of this might be down to a policy led movement against conspicuous consumption typified by Xi Jinping’s ‘common prosperity‘.

    Marketing

    Adland’s talent spill: Seniors double blocked as ageism, cost-cutting compounded by ‘threatened’ younger managers | Mi3

    Where to start with multisensory marketing | WARC – 61% of consumers looking for brands that can “ignite intense emotions”. Immersive experiences that are holistic tap into people’s emotions and linger in the memory. It’s also an opportunity for using powerful storytelling to communicate a brand story.

    Media

    Tesco to launch location-based self-scanner adverts in stores – Retail Gazette

    Everyone is burning out on the news, including journalists – Baekdal

    Online

    Roblox: Inflated Key Metrics For Wall Street And A Pedophile Hellscape For Kids – Hindenburg Research

    How Google Influences Public Opinion | HackerNoon

    Software

    Apple macOS 15 Sequoia is officially UNIX • The Register

    Web-of-no-web

    Airbus to cut 2500 staff in Space Systems | EE News Europe – “In recent years, the defence and space sector and, thus, our Division have been impacted by a fast changing and very challenging business context with disrupted supply chains, rapid changes in warfare and increasing cost pressure due to budgetary constraints,” said Mike Schoellhorn, CEO of the Airbus Defence and Space business.

    Wireless

    Boeing plans quantum satellite | EE News Europe

    Elon Musk battles Indian billionaires over satellite internet spectrum | FT