Search results for: “machine learning”

  • Machine learning powered services + more

    Machine learning powered services

    Intelligent Relations – Matt Muir nails this in his take down of their machine learning powered media relations platform – Vapid, largely-pointless busywork which despite its almost universal lack of import is nonetheless treated by its practitioners as somehow REALLY VITAL and with a reverence normally reserved for stuff that matters rather than with the disregard appropriate for an industry staffed largely by double-figure-IQ morons. Anyway, that’s all by way of preamble to the introduction of Intelligent Relations, a new company which is set to make PR even worse if you can imagine it. Intelligent Relations (it sounds…it sounds like an escort agency for the sort of people who bother applying to Mensa, is what it sounds like) is PR, but with AI! That’s right, AI! The MAGICAL SECRET SAUCE that makes EVERYTHING BETTER and definitely isn’t a sign that someone is attempting to sell you some magic beans! Just listen to this – “GPT-Powered Outreach, 24/7 analysis of all relevant public event data to identify opportunities and pitch your company’s stories faster than the competition…Relentless customized global outreach based on AI-ranked relevancy to your brand. Generate responses that start, nurture, and build personal relationships with media influencers. Put your execs and your company in the heart of the conversation. No agency. You own your relationships – not your PR firm…Precisely worded campaigns, aggressively scaled with technology. Faster than humans, more personal than email blasts.” So, er, you are outsourcing the writing of pitch emails, and followups, to a machine? Have, er, you read any non-tweaked GPT-3 generated copy recently? – All of this stuff about machine learning powered media relations reminded me of the start of my agency career.

    I was working with an agency that was part of the Interpublic Group. We were riding the technology boom of the mid-to-late 1990s. This was a series of booms that were inter-related.

    • Telecoms boom, came from deregulation, the rise of data services, globalisation and the internet
    • Enterprise software boom driven by Moore’s Law, the ability to interconnect systems and exchange data at rates previously unseen. There was a strong incentive to replace old systems due to concerns about the millennium bug
    • Mobile boom as GSM networks and their CDMA equivalent democratised the mobile phone and allowed for nascent data services
    • The dot.com boom as companies built service layers over the top of data networks. Much of the ambition was way ahead of where technology was
    • Hardware boom. Businesses and consumers needed to get online

    Our CEO at the time Larry Weber came over to the office in Covent Garden, met clients and held court. He turns around to the junior staff and tells them how soon they won’t have to worry about manually contacting journalists or compiling status reports. Instead, the contact work will be outsourced to the Philippines (thanks to the telecoms boom). And data that was entered once in the company intranet WeberWorks would through the power of Lotus Notes be diced into the reports that the clients needed.

    WeberWorks in its first iteration was a proof of concept, not a viable product. Though I believe that the successor agency Weber Shandwick stuck with developing the platform.

    22 years later and agency life faces much the same problems, except an algorithm is touted to replace Filipino call centre workers in this scenario. What does machine learning powered media relations have that a Filipino call centre doesn’t? How will the PR profession grow when the on-ramp for people to learn how it works is now taken over by a machine learning powered media relations service instead?

    A lot of PR technology is based on the expectation that (machine learning powered) content will be fed into a media sausage factory and coverage will come out. But relationships are important, as journalists get hundreds of pitches and press releases per day.

    Consumer behaviour

    Phoenix eyes’ on catwalk of mainland academy’s fashion gala draw fire for insulting China |AppledailySome netizens accused the university of humiliating China after a video of the event on YouTube showed that most of the models either had an eye shape known as phoenix eyes, or were using eyeliner to present the same appearance. The eye shape, which is identified by a slight upward lift at the outer corner of the eye, is considered a desirable facial feature. However, some people regard it as a harmful stereotype reinforced by Western culture and the fashion industry. One influential blogger on Weibo, China’s dominant social media platform, said that because this look conforms with the stereotypes of ethnic Asians it carries a meaning of serious humiliation – this might be what passes for woke in China. The story was originally published in the English version of the Apple Daily Hong Kong on June 21, 2021 three days before the paper closed down. I have linked to to a Wayback Machine archive of the article.

    Political trolling twice as popular as positivity, study suggests – BBC News – unsurprising as taps into system 1 thinking

    Economics

    Competition and concentration | Financial TimesThe 1980s financialisation of the US economy created a mindset that manufacturing did not matter — and that it should therefore be shifted to lower-cost labour markets. The high value-added stuff, including R&D, would remain onshore. It didn’t turn out like that. Like any other activity in life, manufacturers learn by doing, which means that the most effective innovation usually takes place alongside production. That’s why so many of America’s most impressive companies, including Intel, shifted a lot of their R&D to China – great take on globalisation here. It also gives a sense of where the FT’s view is on the process

    Private equity ‘raid’ on UK companies sparks furious row in City | Financial Times – best quote in the comments ‘The British should be relieved to have their assets stripped by relatively familiar, relatively transparent organizations. It may be the Chinese next.’

    The Evolution of Corruption in China | Foreign Affairscorruption comes in distinct flavors, each exerting different social and economic harms. The public is familiar with three main types. The first is petty theft: police officers shaking down people on the street, for example. The second is grand theft: national elites siphoning off massive sums from public treasuries into private accounts overseas. The third is speed money: petty bribes paid to regular officials to bypass red tape and delays and grease the wheels of bureaucracy. All three types are illegal, vociferously condemned, and rampant in poor countries. But corruption comes in another, more elusive variety: access money. In this kind of transaction, capitalists offer high-stakes rewards to powerful officials in exchange not just for speed but also for access to exclusive, lucrative privileges, including cheap credit, land grants, monopoly rights, procurement contracts, tax breaks, and the like. Access money can manifest in illegal forms, such as massive bribes and kickbacks, but it also exists in perfectly legal forms – I was thinking of the favoured firms during the British empire and the chaebols during the Park presidency in South Korea. The chumocracy of UK politics is closer to speed money

    Ideas

    Digital Addiction Hunt Allcott, Matthew Gentzkow, and Lena Song (NBER.org working paper)Many have argued that digital technologies such as smartphones and social media are addictive. We develop an economic model of digital addiction and estimate it using a randomized experiment. Temporary incentives to reduce social media use have persistent effects, suggesting social media are habit forming. Allowing people to set limits on their future screen time substantially reduces use, suggesting self-control problems. Additional evidence suggests people are inattentive to habit formation and partially unaware of self-control problems. Looking at these facts through the lens of our model suggests that self-control problems cause 31 percent of social media use. – or in other words social media is like big food, the illegal drugs industry, alcohol, tobacco and gambling (PDF)

    Innovation

    Losing sight of the Future – Noahpinion – interesting article but the author forgets about energy density as an issue in their own predictions whilst mentioning it as a flaw in prior ones

    Marketing

    The fashion marketing shake-up: As Instagram, Facebook costs surge, where next? | Vogue Business – marketing inflation is hitting the fashion industry as platform and influencer costs surge, but sales don’t. More online related content here.

    North Face Owner Pulled Xinjiang Criticism, Then Reinstated It – WSJ – VF Brands struggling to navigate divergent Chinese and western markets. Its not been a good week for VF Brands as the Futurelight logo court case with Futura is bring a lot of unwelcome attention to the North Face brand and may blow on to its Supreme brand.

    McDonald’s, Wendy’s Cut Back Value Meals, Focus on Pricier Food – this is partly inflation. But I think that they are working an angle to squeeze premium burger brands: Five Guys, Gourmet Burger Kitchen (GBK), Byron Burger and similar

    Retailing

    S.Korea retailer E-Mart buys eBay’s S.Korean business for $3 bln | Reuters – purchased by Shinsegae – part of Samsung chaebol

    Technology

    Panasonic defends $7bn Blue Yonder deal after questions over price | Financial Times – interesting that Panasonic bought Blue Yonder. Blue Yonder is a supply chain software provider

    Wireless

    EE to reintroduce Europe roaming charges in January – BBC NewsEE, which is part of BT Group, previously said it had no plans to reintroduce roaming charges in Europe. – No plans meant that they didn’t have their act together at that time, typical BT in other words

  • Machine learning sublime influence

    Scott Galloway talks about the way brands are using AI (machine learning) and the examples are very much in the background.  Welcome to the sublime world of machine learning where the impact on the customer experience won’t be apparent. In many respects this is similar to how fuzzy logic became invisible as it was introduced in the late 1980s.

    The Japanese were particularly adept at putting an obscure form of mathematics to use. They made lifts that adapted to the traffic flows of people going in and out of a building and microwaves which knew how long to defrost whatever you put into it. Fuzzy logic compensated for blur in video camera movement in a similar manner to way smartphone manufacturers now use neural networks on images.

    The Japanese promoted fuzzy logic inside products to the home market, but generally backed off from promoting it abroad. The features just were and consumers accepted them over time. In a quote that is now eerily reminiscent of our time a spokesperson for the American Electronics Association’s Tokyo office said to the Washington Post

    “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.’ “

    This was also the case with the use technology companies made of Bayes Theory. This was used by the likes of Autonomy and Microsoft Research.

    A second technique was rules, put simply IF then THAT. This kind of technology has been used to drive automated trading models and credit card approvals for decades. Pegasystems are one of the leaders in developing rules based processing. Rules based systems could even be built in an Excel macro and would still count as a form of machine learning. 

    Finally machine learning needs to think about a number of things with regards the models being used:

    • The importance of accuracy in the use case
    • The level of precision required and ways to indicate that precision means
    • The cost of generation versus other methods, this is very important in terms of computing power and energy consumption 

    More information
    The Future of Electronics Looks Fuzzy | Washington Post (December 23, 1990)

  • Learning machines discussion

    Why learning machines? Simply because I don’t want to get into an argument of what an AI actually is, so hence the title change – but interesting watching.

    The Churchill Club manage to get top drawer panelists for this session on learning machines

    • Yoshua Bengio, Professor, Department of Computer Science and Operations Research, Universite de Montreal
    • John E. Kelly, Senior Vice President, Solutions Portfolio and Research, IBM

    The panel was moderated by long time New York Times technology journalist  John Markoff.

    Key takeouts for me were:

    Cycle since the 1950s of over-promising and under delivering that drove nuclear winters and booms. Current cycle goes back to the DARPA autonomous vehicle competitions of the past decade. Neural networks weren’t seen as ‘AI’, they went out of research fashion in the 1990s and research picked back up in 2005. Deep learning is basically layers of neural network – more layers = ‘deeper’. Deep nets are now the standard for learning machines. Object recognition improved in 2012 and both industrial and media interest took off.

    Performance has been helped by improved hardware, which has driven the breakthroughs.

    Learning machines still need a lot of human guidance, unsupervised learning isn’t doing as well. It probably explains why IBM has so many people working on Watson projects. This also explains why Watson is externally seen primarily as a ‘marketing concept’.

    Rate of change in semiconductors. Moore’s Law is likely to top out at 5nm. Carbon nanotube devices will be the new silicon in semiconductors. Quantum computing will drive performance in certain types of calculations by a factor of 20. Graphene is better for analogue devices, nanotubes are better for switching. The cost of transistors has stopped falling, which has an implication for new disruptive industries.

    We’ll get performance and density, the cost of which is more uncertain. Computing power is important for learning machine technologies. Power consumption (computing power per watt) is tremendously important. IBM Watson on Jeopardy used 85,000 watts to beat two 20 watt humans.

    Back propagation allows the use of lower power processors. Speech and vision are areas of a big push, but the most exciting area is language recognition and understanding with recurrent networks – implications for conversational interfaces and services.

    IBM think cognitive computing is a wider area than ‘machine learning’. Cognitive computing is what IBM think will transform ‘digital transformation’ through learning machines.

    AI has a definition problem due to fashion and academic quarrels.

    Watson was originally designed to deal with massive unstructured data rather than building an AI. Data was growing faster than IBM could develop for. Watson had a data centric focus. It sounds rather like the vision I once heard articulated for both Autonomy and Palantir.

    Consumers will see Watson as ‘insights’. Watson as a learning machine focuses on comparing and contrast to try and find patterns.

    Interesting that IBM went in so hard on healthcare as an example, given how they eventually retreated from the sector after scandals over unsafe diagnosis.

    UPDATE: October 6, 2020 – report on AI progress here.

    More technology related content here.

  • Nvidia ban in China + more things

    Nvidia ban in China

    China bans tech companies from buying Nvidia’s AI chips | FT – the Nvidia ban is an interesting move by the Chinese government. I don’t think it’s just about putting pressure on their semiconductor companies and foundries. I think it also steers the software industry and approach to AI as well looking for more computationally efficient models. China can do comparable computes, using more lower spec chips and more power.

    At the moment the leading edge models in the west are taking a hardware led approach rather like putting larger capacity engine in a car a la an old school hotrod. China is forcing its technology sector to take a more holistic approach.

    Having Nvidia lobbying the US for permission to sell Blackwell in China is a secondary benefit and not the hard block people think it is. Compute jobs are already done abroad to get around the ban anyway. Its easy to move SSDs from China to Malaysia to run it on local data centres.

    China has extended the Nvidia ban on purchase to a customs ban as well China launches customs crackdown on Nvidia AI chips | FT

    Business

    Billionaire Salesforce CEO Marc Benioff praises AI while cutting jobs – The Washington Post

    Pokémon And Magic Risk Losing An Entire Generation Of Players | Kotaku – are kids being priced out of hobbies?

    China

    Can China really make its consumers spend? | Jing DailyAfter decades of export success, country’s bet on domestic consumption to propel growth bumps up against beliefs about money and security. – They’ve got more chance of increasing the number of children born, the beliefs are that engrained

    China assumes technology leadership in the automotive industry – Markets are increasingly decoupling | Roland Berger

    TikTok, Pop Mart and the Conditional Logic of Success | Calling The Shots (Ivy Yang)

    Consumer behaviour

    Grave new world: Why young people are grieving a life they’ve never lived | shots Magazine

    Economics

    Why Gen X is the real loser generation | The Economist

    Finance

    Graphic Language: The Curse of the CEO Bloomberg – swearing linked with financial stress

    Exclusive | How China Secretly Pays Iran for Oil and Avoids U.S. Sanctions – WSJ

    Innovation

    Why is AI struggling to discover new drugs? FT

    Japan

    Shirow Masamune and the Predictions of “Ghost in the Shell” | Nippon.com – still my favourite manga and anime franchise. It still feels fresh and forward looking four decades later.

    If you only click through on one link on this post make it this one – Animated Spirituality – by Hiroko Yoda – Japan Happiness

    I love some of the apparently random things that Toyota under Akio Toyoda do. From the GR Yaris to this documentary on a vintage Komatsu steel press that was instrumental in Toyota’s first car factory and still is doing sterling work.

    The dialogue is in Japanese but English subtitles are available.

    Luxury

    Fashion retreats from diversity: ‘We are again being openly asked for Caucasian models’

    The Art of Slowing Down: Another Moët F1 Blunder, Gaultier’s Runway Disaster & Trump’s Pasta Tariffs – A Weekend in Luxury Chaos – Intern Pierre – failure to execute

    Materials

    The “Critical Minerals” Crisis of 100 Years Ago | Chris Miller – great essay by the author of Chip War – and my review of Chip War here.

    Marketing

    Outside Perspective Y25W41 – Sisterhoods and Support – WARC future of strategy critiqued

    Media

    Meta manipulated child safety research, ex-employees tell US Senate panel | FT

    Younger people and women in the EU read more books – News articles – Eurostat

    Movember report – Young Men’s Media Landscaping

    Mastodon has a new plan to make money: Hosting and support services for the open social web | TechCrunch – it reminds me of the service and support models that the Linux economy pivoted to in the late 1990s. We’ll see if it survives

    Google expands AI Portraits globally with Scott Galloway mentor | The Tech Buzz – Galloway since took it down

    Online

    Meta manipulated child safety research, ex-employees tell US Senate panel | FT

    Security

    Hacking Cable — Technical Report – agentic script kiddies

    UK’s MI6 Agency Sets Up New Dark Web Portal to Recruit Spies – Bloomberg – this is a tough one, especially given UKG’s stance on cryptography, would you trust the Silent Courier portal?

    America First? Hegseth Announces Foreign Air Force Facility in U.S. | The New Republic – “will host a contingent of Qatari F-15s and pilots to enhance our combined training, increase lethality, interoperability”

    Software

    Deloitte issues refund for error-ridden Australian government report that used AI | FT

    ADK Insider: ADK When It Was Born | by Bo Yang | Google Cloud – Community | Oct, 2025 | Medium

    Technology

    Apple’s executive reshuffling isn’t over | The Verge

    Should the public sector build its own AI? FT

    SAP to invest over 20 billion euros in sovereign cloud in Europe | CNBC

    why-language-models-hallucinate | OpenAI & Why Chatbots Still Hallucinate – and How OpenAI Wants to Fix It – UC Today

    101 real-world gen AI use cases with technical blueprints | Google Cloud Blog – this reminds me a lot of SAP’s industry templates back in the day. *Disclosure I am freelancing for an internal agency at Google.

    OpenAI Raids Apple for Hardware Talent, Manufacturing Partners — The Information – hoovering talent out of Apple beyond the machine learning teams to include engineering, supply chain etc and OpenAI and Ive poach Apple designers, target suppliers for hardware push – 9to5Mac

    The Mysterious “New Ideas” for AI Data Center Build Outs | Spyglass

    UK is falling behind in the use of AI, says Google chief | The Times ying and yang of the same story: Small businesses could save a day a week if they use AI, Google claims | The Independent

    Axios AI+ Government | States are making their own rules for AI

    Web of no web

    Global Drone Market to Hit $8 Billion by 2029: Precision Agriculture Takes Off | EE News

    We’re all about to be in wearable hell | The Verge

    GeoVector looks like where 2.0 type locative technology with applications for next generation ‘Mirrorworld‘-type services.

    Wireless

    The iPhone 17 Event: Less Awe, More Unsexy & That’s A Good Thing – On my Om

  • July 2025 newsletter

    July 2025 introduction – two-dozen (24) edition

    What a scorcher of month it turned out to be. This edition marks the second anniversary of Strategic Outcomes.

    24 or two dozen as they call it in the bingo halls, is considered be unlucky in Cantonese because it sounds like ‘easy die’. All of which made the number symbolizing a violent political thriller TV series all the more appropriate.

    24 was the name of a must-see action drama that launched in the aftermath of 9/11. The show was quite prophetic in some ways given that the pilot was shot in March 2001 and production began in earnest in July that year.

    Jack Bauer fought terrorist and drug cartel attacks over nine seasons and sold countless DVD boxsets outselling Peter Jackson’s Lord of the Rings: The Fellowship of The Ring. Bauer’s ‘the ends justify the means’ approach caught the zeitgeist of enhanced interrogation and the real-time plot with political intrigue kept audiences hooked.

    Much of this month for me has been dominated by generative AI in terms of the projects that I have been working on and what I have been learning on Coursera.

    AI

    This month’s summery soundtrack for the newsletter comes from French DJ Folamour playing joyful house music that would be very on-point for the early to mid-1990s sets I used to play during the mid-week at the long-gone and largely unlamented Sherlocks bar and Bonkers night club in Merseyside.

    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.

    • I have been thinking a good deal about business cards and their relevance in 2025, there maybe some reasons for optimism given wider trends happening at the moment.
    • Apple developer focus given last year’s problematic pivot to go big on AI.
    • The Hong Kong government banned a Taiwanese game Reversed Front: Bonfire. The game portrayed the Hong Kong government in a poor light alongside their Beijing counterparts. But gaming and politics aren’t as bizarre bedfellows as it would seem on the surface.
    • Optimising my video calling experience took me back through my past life as a DJ to find an appropriate headphone and mic solution for long work calls.
    • Design collaborations and other things including philosophical approaches to building machine learning systems and early smartphone demos.

    Books that I have read.

    • I read Charles Beaumont’s A Spy At War, the follow-on to A Spy Alone which I read earlier on in the year. Beaumont’s story moves from the UK to Ukraine, tracking the lines between Russian corruption and what the Russian intelligence services would call the ‘useful idiots’ of right leaning populist politics. Beaumont doesn’t disappoint with this second story related to his Oxford spy ring, the unnerving aspect of it all is how similar many of the characters seem to public figures. I will let you draw your own conclusions on that.

    Things I have been inspired by.

    Cartier exhibition

    I got to go to the Cartier exhibition at the V&A museum. At first I was thinking about passing it by when I looked at the exhibition catalogue. The photography seemed flat and lacking in lustrousness. The exhibition needed to be seen in person to appreciate the art of the jeweller and gemologist respectively.

    Mid-year trends

    Dan Frommer and the team at The New Consumer & consumer goods focused investor Coefficient Capital dropped their mid year trends presentation which is free to download.

    There were a number of outtakes for me

    • Economics
      • US consumer spending held steady, even as consumer sentiment fluctuated – this might be due to inflation, but you didn’t see a corresponding dip. This was also mirrored in steadily life satisfaction statistics.
      • Consumer price elasticity for ‘Made in America’ products is low.
    • Marketing
      • 97% of US consumers surveyed knew it was Amazon Prime day before shopping – which is a phenomenal level of awareness.
      • 98% of US consumers are aware of AI. Which adds more credence that AI’s place in culture is similar to that of the web and the internet in the mid-to-late 1990s – even amongst people who aren’t actually using it. It is consistently in 0.25% of news coverage since the launch of ChatGPT.
      • Awareness of Ozempic was at 58%, Viagra was at 62% – which says a lot about the power of long-term brand building.
    • Pets
      • Pets are 40 percent of male respondents best friend, but 40% of women view pets as their child.

    Chart of the month. 

    Smart Communications released a report looking at health CX and patient attitudes. There was a considerable variation between consumers by age on trust in AI across both concerns about data privacy and the overall ethics involved. But a majority of consumers in every age group thought that AI would maintain or improve health communications channels.

    health cx

    Things I have watched. 

    Network as a 1976 film was quite prescient. It covers the tension between network television’s quest for eyeballs and the ‘just the facts’ era of Walter Cronkite and his team at CBS Evening News. We have a network executive who sees views in the breakdown of a news reader at the twilight of his career. It also feels like an allegory on modern day influencers and the tyranny of slavishly following the algorithm.

    Barry Lyndon

    Inspired by an article in the Financial Times, I rewatched Barry Lyndon for the first time in years. The first time I watched it was out of curiosity for a few reasons

    • It’s based on the 19th century novel of an Irish hero who bounces through various adventures and eventually dies in a debtors prison.
    • It was a Stanley Kubrick film. Barry Lyndon was made in 1975, after A Clockwork Orange and prior to The Shining.
    • It was similar in concept, if not in execution to the ‘cinéma du look’ movement that I have watched and written about previously in this newsletter. Conceptually ‘‘cinéma du look’ and Barry Lyndon share a common concept, both were looking to replicate an aesthetic. ‘Cinéma du look’ was inspired by the golden age of TV advertising and music videos, Barry Lyndon was inspired by 18th century art.

    Barry Lyndon like the later cinéma du look films were critiqued for putting style over plot lines. And like cinéma du look, Barry Lyndon has become more appreciated with age. The stylistic aspects of Barry Lyndon have appealed to TikTokers and gained new life. I hope the same happens for cinéma du look works that equally deserve the exposure.

     When I was a child, my time was spent split between living on my uncle’s farm in Ireland and the Mersey basin which was a thriving petrochemical hub with giant silver cathedrals to human ingenuity and process engineering. Climate change wasn’t in the public zeitgeist. You would see the stack flares as you drove past plants at night and the mercury discharge lamps dotted along inspection walkways.

    Friends Dad’s worked abroad in the petrochemical industry or in the north sea. It was adventure, it had a hint of danger. That was solidified in my mind when I saw Hellfighters, where John Wayne cosplayed as an analogue of Red Adair. The film is basically an oilfield western BUT to six year old me – giant oil fires seemed cool. Wayne’s character Chance Buckman was an undisguised portrayal of Red Adair and Red Adair Co. Inc even down to Adair’s signature red overalls.

    Yes its got misogny and it’s exactly the same as every other John Wayne film from the 1960s in terms of plot and pacing. Wayne even used many of the same co-stars over-and-over again.

    To my more practiced eye as a former plant process operator turned ad man; parts of oilfield scenarios are a bit hokey. However, the modernist design aesthetic, spectacle and the fire portrayed in the film continues to impress all these years later. The engineering and plant portrayed in the film means that it’s one of those movies my Dad and I watch together, most of the time talking about the equipment used and other minutiae of the film.

    As a film it also does a good job of documenting the oil infrastructure of the Texas panhandle in the 1960s.

    If I had any criticism it is that the film needs a good reprint with a 4K re-scan. I can also recommend Red Adair: An American Hero which was his authorised biography – we had a well-thumbed copy in control room of plant I briefly worked in prior to college.

    Useful tools.

    Image format conversion

    For long time Mac users the go to tool for image conversion is Lemke Software‘s GraphicConvertor. Thorsten Lemke is a legend in the Mac software community, supporting his application since the mid-1990s; back when being a Mac user was an endangered species. I remember first getting a copy on a Mac computer magazine disc in college and found it invaluable ever since. Even now it supports obscure image formats that you won’t have seen in decades like PICT. However if you don’t have access to your own machine and software, a couple of online web services I can recommend at a pinch are SVG to PNG and CloudConvert.

    Visualisation tool

    I have just started playing with MyLens AI and it’s conceptually interesting enough for me to recommend experimenting with it yourself.

    The sales pitch.

    I am currently working on a brand and creative strategy engagement at Google’s internal creative agency. I am now taking bookings for strategic engagements from the start of 2026 – keep me in mind; or get in touch for discussions on permanent roles. Contact me here.

    now taking bookings

    More on what I have done here.

    bit.ly_gedstrategy

    The End.

    Ok this is the end of my July 2025 newsletter, I hope to see you all back here again in a month. Be excellent to each other and onward for the rest of the dog days of summer.

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

    Get in touch