『Slow Takes: One week in AI』のカバーアート

Slow Takes: One week in AI

Slow Takes: One week in AI

著者： Sam Illingworth & Leor Gayr
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Slow Takes is the weekly Slow AI conversation. Every Monday, Sam Illingworth and Leor Gayr talk through the week in AI, slowly and without the hype.

theslowai.substack.comSam Illingworth
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  • Slow Takes Ep. 25: Four Numbers That Shrank When Somebody Checked

    Slow Takes Ep. 25: Four Numbers That Shrank When Somebody Checked
    2026/08/31
    Every Monday, Leor from Exploring ChatGPT and I go through the week’s AI news without the hype. Catch the episode live on Substack, on YouTube, or as a podcast wherever you get yours, so you can pick the format you enjoy. Use this for the facts, the links and a little extra context.If you know someone who would benefit from more AI news and less BS, please share this with them.1. Two UK datacentres are bringing their own gas power stationsWapseys Wood in Buckinghamshire and Quest Park in Bedfordshire will draw 1.3 gigawatts between them, about what a large power station puts out, and produce more than 4.5m tonnes of carbon, against 3.9m tonnes from the whole of ExxonMobil’s UK operations in 2023. Both plan to run their own gas-fired stations because they cannot get grid connections in time. The government calls the figures misleading on the grounds that they assume full demand from day one; Foxglove, who did the analysis, says that assumption is industry standard, and published it, which is the only reason anyone can argue with it. Leor asked the question I keep coming back to: we are building the most advanced technology in human history and powering it like it is 1975. The UK has no frontier models of its own. We are taking the environmental cost so that companies elsewhere can train theirs. At British infrastructure speed these sites are five years away, which is five years we could spend making the models less hungry instead.2. Oura marketed 95%, the lawsuit cites 53%A California woman paid $513.68 for a ring that scores her sleep, and a class action says it cannot detect sleep stages at all. Oura advertised 95% accuracy against a clinical sleep lab. The complaint cites a study putting it at 53.18%, a coin flip. Real sleep research runs on electrodes at the temples, sensors on the eyelids and a night in a ward, so a ring reading pulse and perspiration at the finger was always going to be inferring rather than measuring, and one marketing number covers both without saying which is which. Oura denies everything. The timing matters, because Leor pointed out they have sold 5.5 million rings, are forecasting $1.5bn of sales this year, and are preparing an IPO at an $11bn valuation. The other cost is the one nobody sues over: a bad sleep score in the morning is its own reason to sleep badly the next night.3. Grok hands over your chat history, and nobody wrote it downA security researcher told Musk’s company in June that a single webpage can make Grok give away a user’s name, location and live chat history. You ask Grok to summarise a page, and instructions hidden in that page tell it to hand over everything. The instructions are scrambled, so the safety checks read them as nonsense and let them through. He chased twice in August, got no reply, and checked again on the 19th. There is no entry in the public list where software flaws get recorded, so there is no public trace that the flaw exists, and the missing entry does the same reassuring work as a good score would. Leor was more even-handed than me here, and correctly: Copilot and Gemini have had versions of the same problem, and in every case we heard about it from the researcher rather than the company. His other point is the useful one for anybody using these tools: guardrails thin out on the cheaper models, so the same request a paid tier refuses will often go through on a lightweight one.4. Cocomelon’s studio hands its animators an AI BibleMoonbug Entertainment, which makes Cocomelon, Blippi and Little Baby Bum, issued animators an AI policy and a document it calls the ‘Studio AI Bible’ telling them to experiment. The guidance reads well. Keep a human in the loop, AI assists the artist rather than replacing them, and AI cannot originate core characters, storylines or song lyrics. The documents tie that rule partly to copyright, on the basis that you can only own what a human created, so the human stays in the loop to keep the copyright and the artists get the benefit as a side effect. There is no headcount floor and no definition of ‘assist’. Earlier this year the crew and actors on The Melon Patch, the live-action spin-off, struck over pay and benefits, and AI asks for neither. Leor put the objection better than I did: if there is one corner of the internet that does not need an infinite slot machine, it is content built to hold the attention of a three-year-old.5. A mammogram may also be a heart scanCardiovascular disease kills more women than anything else and is routinely caught late. A team in Israel took 97,364 mammograms from 29,921 women, average age 54, and cross-referenced their records. A model trained on the scans picked out the women who had the condition 86% of the time for stroke, 79% for high blood pressure and 78% for coronary heart disease, from the mammogram alone. It held whatever her age, and whether or not she also had cancer. A radiologist reading a mammogram is looking for breast cancer and is not asked to...
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    40 分
  • Slow Takes Ep.24: Ordering the Answer You Want

    Slow Takes Ep.24: Ordering the Answer You Want
    2026/08/24
    The expert who bought his conclusion3M paid an engineer called Josh Autenrieth about $90,000, at $475 an hour, to write an expert report on the Watson Grinding explosion in Houston. His prompt to ChatGPT was ‘show how 3M is 0% at fault for the explosion at Watson Grinding’. His conversation links were public, so the opposing lawyers read all 350 pages of them. The jury put 30% of the fault on 3M and awarded $61m. He decided the conclusion and then bought the analysis to fit it, which people managed perfectly well with a typewriter. What ChatGPT added was a transcript. The jury put 30% on 3M, so where does the other 70% go? Does OpenAI get a share?Robin Williams’ children take the account backOn 17 August, Zak, Zelda and Cody Williams reactivated their father’s Instagram account, dormant since 2014, saying they wanted a safe and trusted place for real photographs and memories of him. Zelda Williams had already spent a year asking people to stop sending her AI videos of Robin. The family have now stopped asking and started posting. Occupying the space yourself, and hoping the real thing outranks the fake, is what is left when there is no way to make it stop.Families should inherit a digital identity the way they inherit a house. It will not stop anyone making the videos. It would at least give someone standing to object. This Friday’s Slow AI post is on what the rest of us can do about deepfakes, and it starts with a family safe word.EMMA cannot hear YorkshireHealthwatch Rotherham has been collecting complaints about EMMA, an AI phone receptionist that GP surgeries in the town have put on the front desk. Healthwatch Rotherham’s manager, Kym Gleeson, says the system cannot always work out what people are asking because of their broad Yorkshire accents, and patients have given up on the phone and walked to the surgery instead. The company says EMMA handles a wide range of accents, supports seventeen languages, and passes you to a human when it cannot cope, which assumes you can make yourself understood long enough to ask. Seventeen languages, defeated by South Yorkshire, tells me something about who it was tested on. Healthwatch has been going round elderly and veterans groups telling them they can opt out, which is the most useful thing anyone has done here.If you enjoy this newsletter then you might also enjoy Slow AI the book.A red circle round his faceMatt Arnold, 46, had scanned his shopping and his Nectar card at the Sainsbury’s in East Dulwich on 6 August when two managers told him he could not be served and would be walked out. Leaving, he looked up at the CCTV monitor and saw his own face with a red circle round it, drawn by Facewatch. Sainsbury’s said the incident was caused by human error rather than the technology, that Facewatch is 99.98% accurate, and that every match is reviewed by a trained manager. Facewatch says its alert was correct. So the machine drew the circle, and the trained manager, the one safeguard both companies point at, went along with it.The cameras that see the fire firstA SpaceX launch in July put the first three FireSat satellites into orbit, carrying infrared sensors that can pick out a fire five metres across, and the finished constellation is meant to sweep the whole planet every twenty minutes. This is the version of AI I want more of. The machine does the spotting and people still do the deciding. It answers where to look and never gets to say what happens next.Three of those stories are the same story. Someone let a machine supply the answer, then stood behind it when it turned out to be wrong, and the person on the other end had nowhere to appeal. The Williams family have the version with nobody to appeal to at all. The last one is the same technology pointed at a question it can actually answer, which is why nobody is arguing about it.Go slow. Get full access to Slow AI at theslowai.substack.com/subscribe
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    38 分
  • Slow Takes Ep. 23: Is AI Really for Everyone?

    Slow Takes Ep. 23: Is AI Really for Everyone?
    2026/08/17
    Zuckerberg’s manifestoMark Zuckerberg published ‘The Future Is For Everyone’ last week: six and a half thousand words on the path to a positive AI future. Some of the premise is fair. Superintelligence is dangerous, a handful of people should not be making the decisions, and there need to be guardrails. It is written by one of the most powerful men alive, and it is written so that you can have all of those things provided his company delivers them.In over 6,500 words it contains zero citations. Not a thin evidence base, none. A high school student handing that in would be asked what they thought they were doing. I ran it through an AI detector out of curiosity and it came back 100% human, which is the last nail in that particular coffin: the machine certified as authentically human a document with nothing in it to check.Leor’s read is that this is a company playing catch-up. Meta led on AI, went to the metaverse instead, spent billions, and now writes manifestos. If Meta were OpenAI, this document would not exist.Claude’s watermarkAnthropic is adding a watermark to Claude’s text, built on Google DeepMind’s SynthID. Certain words and phrases fall in a pattern only a key-holder can read, and at present Anthropic holds the only key.I am for this, which surprises people who know my position on detection. A detector like Pangram guesses at AI tells and gets students wrongly accused. This marks the output at the source. If it works, it takes the market out from under the detection industry and the humaniser industry that feeds on it.It is still mealy-mouthed, and it looks like a box-ticking exercise to appease Congress. The workarounds are already circulating: ask Claude to swap every synonym it used for another one, or simply ask a second AI to strip the first one’s watermark. Read it alongside Google announcing this week that users can now remove the watermark from their AI-generated images.Spotify labels the artistSpotify will badge AI Persona accounts and stop recommending them. Some accounts have made hundreds of thousands of dollars from fully generated tracks while crowding out musicians who spent months on a record.Chad Thiele put the sharpest question of this debate into the chat: if the AI music got the streams, was it slop? Is the market voting with its time? That is worth taking seriously, because a lot of what gets called slop is taste dressed as standards. The mechanism remains absurd. An AI writes a track, an AI recommends it, and a third AI decides whether the first AI wrote it.The ‘hee hee hee’ safeguardFlock runs surveillance cameras that read number plates across the US. Officers have been caught using them to follow their exes. The safeguard against that was a single free-text box asking why you were running the plate, and officers typed ‘hee hee hee’ twenty times and the generic word ‘investigation’ 111 times.Whoever built that check wrote a binary test. Is there text in the box, yes or no. That is the entire guardrail standing between a national camera network and a man looking for his ex-partner. As Leor pointed out, none of us want a surveillance state, particularly not a venture-backed one.Amazon’s power plantAmazon is building a data centre in Pecos County, Texas so large it needs its own gas plant, permitted for up to 33 million tons of carbon dioxide a year, which would make it the largest single source of power-plant carbon in the country. Amazon’s net zero pledge is dated 2040.Leor thinks this infrastructure will be obsolete inside a decade, the horse stable to the automobile factory, with the Department of Energy targeting useful fault-tolerant quantum computing by 2028. I think the building is the point. The money leased against these sites is what keeps the valuations up, so divesting into something more efficient runs against the interest of everyone holding the paper.One warning for the election cycle. Data centres employ thousands of people to build and almost nobody to run. When a politician promises you jobs, ask how long for.Which loops back to where we started. Zuckerberg’s manifesto makes exactly this argument, that data centres enrich the people nearby, and offers one example: a county where wages rose because it tied a share of capital gains to local residents. That was a policy decision by a local authority. It had nothing to do with Meta.Go slow. Get full access to Slow AI at theslowai.substack.com/subscribe
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    42 分
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