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Plutonic Rainbows

Sun Caught Up to Symbolics

There was a moment, roughly between 1983 and 1987, when a serious AI researcher worked at a Symbolics. Not on one. At one. The machine was the workstation, the operating system, the editor, the debugger, the version control, the inspector, and the language all at once, and the language was Lisp from the microcode up. The LM-2 in 1981 was the first commercial repackaging of MIT's CADR design, and by the time the 3600 line shipped you could buy a desk-sized Lisp environment with over five hundred thousand lines of system code written in the same language you were writing your own code in. Down to the kernel. That is still an extraordinary thing to think about.

Symbolics was a spinoff from the MIT AI Lab, one of two companies that came out of a hacker schism around the turn of the decade, the other being Lisp Machines Inc. Symbolics got most of the hackers and most of the money. For a few years the bet looked obviously right. The Defense Advanced Research Projects Agency had decided that expert systems were a route to military advantage, and the Strategic Defense Initiative meant DARPA was buying. Symbolics machines went into labs and skunkworks and Star Wars feasibility studies. Revenues climbed. The company signed long real estate leases in California on the assumption the run would continue.

It did not. The mechanism is worth being specific about, because the standard summary, "AI winter killed it", obscures more than it explains. Two things happened in parallel. The first was that expert systems, the thing Symbolics had been sold as the platform for, turned out to scale badly. Rules accumulated, interactions between rules produced surprises, knowledge engineers were expensive, and the systems could not learn. The second was that Sun Microsystems and the rest of the RISC workstation industry caught up on raw compute and then surpassed Symbolics on price-performance, while compiler people figured out how to make Lisp run respectably on general-purpose silicon. A purpose-built Lisp machine had been the only way to run Lisp fast; once it wasn't, the entire commercial premise dissolved.

DARPA noticed before the company did. Funding cuts started biting in 1987. Russell Noftsker, the co-founder running operations, ended up in a power struggle with Brian Sear, the CEO the board had hired in 1986, over whether to pivot to selling Lisp software that ran on Sun boxes or double down on Symbolics' superior hardware. The board fired both of them. Sales fell off a cliff, the California leases turned into millstones, and Symbolics filed for bankruptcy in early 1993. A small remnant company kept maintaining Open Genera, a virtual machine version of the OS, for the customers who could not afford to migrate off it. By 1995 the Lisp machine era was over.

The instructive bit is that no single decision killed Symbolics. The technology was genuinely impressive. The customers were real. The leadership had founder energy and MIT pedigree. What killed it was the assumption that a specialised hardware platform could remain the cheapest way to run a particular kind of software, in a decade when general-purpose silicon was doubling in capability roughly every eighteen months. The platform was a moat that was also a clock. Every Moore's Law tick narrowed it.

You can see the same shape now in the argument over whether GPU accelerators stay a category, or whether the workload that currently justifies them gets absorbed by whatever comes next. Specialised hardware is enormously valuable while the gap is wide, and a liability when it narrows. The companies that bet on the gap staying wide are the ones who sign the California leases. There is no indication this lesson generalises, and every indication it does.

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Stapled to the Pole

The laminated A4 sheet appears on the lamp-post outside the corner shop sometime in the night, and within a week the rain has buckled the plastic pouch and turned the photocopy blue at the edges. The notice is addressed to nobody in particular and to every adult in the postcode at the same time. A six-line description of the proposal in the flat register of development-control prose, the address of the site, the place where the full application can be inspected, and a date by which any written representation must be received. Twenty-one days from the date of first display, which is the statutory minimum councils must allow before they can determine an application.

The strange part is that the notice is the building's own ghost made visible before the building has gone anywhere. The shopfront is still trading. The Victorian terrace still has its tenants. The car park still has cars in it. And yet the sheet on the pole, in its unread and weatherproofed way, is already describing the place in the past tense, in the dry syntax councils use for things that have not happened yet and might not. Erection of a three-storey block of nine self-contained flats with associated parking, cycle storage, refuse store and amenity space. The proposal has not been approved. It may never be approved. But the sheet has introduced the future as a piece of municipal furniture, and the present has become the version of the street that the proposal will replace.

You can stand and read one of these for as long as you like and nothing will be clearer at the end than at the beginning. The description is technically complete. It is not legible in the sense of giving you any image of what will happen. The language is engineered to be neutral enough to survive an appeal. Active verbs are converted into nouns. Heights are given in metres above ordnance datum. Materials are described as proposed elevations finished in stock brick and standing seam zinc. The thing the prose refuses to do, by training, is to picture itself. You have to take the drawings down from the council's portal and find a planner who likes you to learn what the notice actually means, and even then it is provisional until the committee meets.

Telegraph poles get a different layer of paper. The Electronic Communications Code gives a broadband operator the right to put up a wooden pole of up to fifteen metres with only twenty-eight days' prior notice to the local planning authority, and no statutory requirement to consult the residents whose front gardens the pole will face. Some councils ask operators to laminate a courtesy A4 to the pole that is being installed, naming the next pole, the company, and a date. There is nowhere on the sheet for the householder to register dissent that would stop the installation. The notice is not asking. It is announcing. The grammar of the planning notice has been carried, intact, into a regime where the consultation period is decorative.

What this leaves on the British street is a continuous low layer of paper futures pasted onto its furniture. Most of the notices belong to applications that will be granted, often with conditions, and turned into the buildings they describe. Some belong to applications that will be refused, withdrawn, or appealed to inspectors and won on the third attempt two years later. Some belong to operators who will put the pole up regardless of what the council says. A few belong to proposals nobody at the council can later remember receiving. The sheet is taken down when the application is determined, or stays up until the rain unmakes the plastic and the staple lets go, or both at once. The street has by then long since stopped reading the lamp-post and resumed its own business, and the next sheet appears two doors down, addressed to the same nobody.

I think the unease they produce is not about the proposals themselves, most of which are unobjectionable infill that any honest assessment of the housing shortage would welcome. It is about the address. The sheet is written to a public that does not assemble to read it. The twenty-one-day clock starts on a day no one notices, runs through a window of attention no one has been given, and closes before most of the people the proposal will affect have understood that a clock was running. The notice is a working piece of democratic infrastructure that has been engineered to look exactly like litter. That is the trick the pole has learned, and it learned it long before any of us were paying attention.

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Alaïa, Spring 1986

The bandage dress is almost always credited to Hervé Léger, and almost everyone who repeats that has it wrong. Léger's version, the painfully tight strapless thing that became a 2000s red carpet uniform, did not arrive on a runway until the early 1990s. The silhouette he is famous for had already been on working models in Paris for half a decade by then, knitted in soft stretchy viscose by a small Tunisian man who was a foot shorter than most of his clients and who pinned dresses directly onto their bodies in the small hours of the morning. Azzedine Alaïa's spring/summer 1986 ready-to-wear was the moment the form arrived complete: a black satin-knit halter bodysuit, open at the back, married to a high-waisted bandage pencil skirt with diagonal seams and a side lace-up. ReSee's archive listing of the original S/S 1986 bandage ensemble is one of the rare places you can still see the construction up close.

What I find interesting is what the dress was answering. The mid-eighties was the high water mark of power dressing, a silhouette of padded shoulders and structured jackets borrowed from menswear and inflated, designed to claim space in rooms that had recently begun to admit women. Thierry Mugler had been building those rooms architecturally, in patent leather and chrome. Alaïa pulled in the other direction. His answer was a body that was not armoured but held; not enlarged but articulated. The Egyptian-mummy references he gave to interviewers were not idle, the wrappings were meant to evoke preservation and protection rather than constraint. The French philosopher Michel Tournier later wrote that the dresses allowed women to be held as tightly as possible while remaining free, a sentence that sounds like marketing copy and is in fact closer to the truth of how the material behaved. The Alaïa knit gave back when you breathed. Léger's bandage, when it eventually arrived, did not.

By October 1985 the trajectory was already legible to anyone paying attention. Earlier that year he had been named creator of the year at the Oscars de la Mode, France's short-lived Jack Lang-era state fashion prize, and had walked onto the stage with Grace Jones, who was wearing one of his fuchsia bandage dresses and a dazzling smile. The press had already christened the look the sexy mummy. Bill Cunningham, reviewing the spring 1986 Paris shows for Details, would write that the season had been defined by the major houses shamelessly copying the hourglass silhouette of Azzedine Alaïa. He was, by any working measure, the most imitated designer in Paris that year, and the imitation continued long after he had moved on, eventually attaching to a different name entirely.

There is a small footnote here about how authorship gets allocated in fashion. Alaïa never operated like a brand. He showed off-calendar by the late 1980s, refused the press machine entirely, hand-stitched garments directly onto Naomi Campbell and Linda Evangelista in his Marais studio, and let buyers and editors travel to him on his schedule rather than theirs. Léger by contrast was a brand from the start, marketed aggressively, quickly licensed, and by the late nineties the bandage dress belonged to him in the public mind, the way the wheel belongs to whoever sells the most cars. The historian Olivier Saillard, who curates the Fondation Azzedine Alaïa archive, has called the appropriation a strange contradiction; I think it is simply what happens when one party treats the work as the point and the other treats the work as the asset.

The original ensemble still sits in ReSee's vintage inventory at six and a half thousand euros, hand-selected for the archive by Pieter Mulier, the designer who now runs the Alaïa house. The satin knit, forty years on, is reportedly still soft.

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Twenty Million in Belfast

Royal Mail's National Returns Centre has been in Belfast since 1992. A warehouse on the edge of the city is where everything that cannot be delivered in the United Kingdom eventually ends up, and the rolling estimate kept by the people who work there sits at around twenty million items. Wedding photographs, love letters, autographs, a Picasso sketch valued at three thousand pounds, expensive gifts the recipient never knew were on the way. The site, when The Guardian visited in 2003, was running on roughly ten million pounds a year and the volume was rising every year despite the arrival of email and text-messaging. Whatever the internet was doing to the postal service, it was not reducing the supply of mail that could not be made to land.

The building's job is to read what the rest of the system gave up on. An envelope arrives at Belfast because the address is incomplete, or the handwriting illegible, or because the recipient has moved and the sender wrote no return on the back flap. A team opens it, which is one of the very few places in British law where the implicit right to secrecy of correspondence can be set aside, and they look for clues. A name on a card inside. A return address on a cheque. A previous postmark. If they find nothing usable within roughly a month, the letter is destroyed; if the contents have any auction value, they are sold. The wedding photograph of the man in RAF uniform and his shy new bride that the Mirror ran in 2013, both faces still legible after seventy years, was found in a stack of unclaimed envelopes that nobody would ever see again outside this one room.

The British Post Office set up its first Dead Letter Office in London in 1784, and Edinburgh and Dublin opened similar offices shortly after, as the Postal Museum's archive guide records. By 1813 the system had been formalised as the Returned Letter Office, which sounded less morbid and was also more accurate, as the goal was always to put the letter back into the sender's hand rather than to bury it. The Victorian institution kept photographs of what it received. One image from around 1900 shows the room with dead pheasants, rabbits and hares hanging from the ceiling, sent as game gifts that never reached their country-house addressees and ripened in transit until the sorters had to do something. The renaming to Returned Letter was a public-relations decision. The work was the same.

What I find unsettling is that the institution is older than the post code, older than the typed address, older than the photograph itself, and it has survived every revolution in addressing without changing its basic function. Email did not shrink it. Two decades of broadband did not shrink it. The parcel boom of the 2010s, with its printed barcodes that should have been undeliverable-proof, did not shrink it. As long as human beings are willing to write a name and a town on the outside of a package and entrust the result to a national system, a fraction of those names and towns will be wrong, or the recipient will have moved, or the sender will have failed to include themselves on the envelope. The fraction is small. Multiplied across a country, it is twenty million.

The Belfast warehouse is the closest thing the United Kingdom has to a national memory of failed correspondence. It contains, at any given moment, a thousand wedding albums that the couple never saw, a thousand last letters from people who have since died, a thousand cheques nobody will ever cash. The room has no public catalogue and no public access. It does not appear on the Royal Mail tracking page. The most modern country in Europe runs an entirely analogue archive of its own undelivered intentions, and the only reason most of us never think about it is that we ourselves were lucky and our envelopes happened to land.

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Half Cash, Half Compute

Anthropic and the Gates Foundation announced a $200 million, four-year partnership earlier today, aimed at global health, life sciences, education and economic mobility. The framing is familiar: AI for everyone, not just for the markets that can already pay for it. The structure of the commitment is the part worth slowing down for.

Half of the $200 million is the Gates Foundation putting in cash, program design and the operational expertise it has built up running large bilateral health programmes. The other half, Anthropic's half, is Claude usage credits and time from its technical staff. That distinction matters because the two halves do not have the same cost structure. Grants are dollars out. Credits are inventory, the marginal cost of running tokens through Anthropic's existing compute footprint, and they hit Anthropic's books somewhere between full price and zero depending on how the accounting is done.

I do not mean that as a debunking. I mean it as a clarification of what is on offer. Anthropic is committing a substantial fraction of its model capacity, for four years, to programmes whose research agenda will not be steered by paying customers. That is a real concession. It is just not the same shape as a hundred million dollars handed across a table.

The precedent is OpenAI's $50 million deal with the same foundation in January, aimed at supporting roughly a thousand clinics across sub-Saharan Africa by 2028. Four months later, the asking price of the equivalent kind of announcement appears to be four times higher. Whether that is genuine inflation in scope, or two labs leapfrogging each other on a public-relations metric where the dollar number is the only thing that travels in a headline, is impossible to know from the press release. The Gates Foundation tends to know what it is buying. The labs, by contrast, are in the middle of a brand argument with the Trump administration about whether AI is a force for harm or a force for good. A four-year commitment announced now is a brand argument with a planning horizon attached.

The substantive programmes themselves read sensibly. Accelerating vaccine and therapy research is a workload large language models are genuinely useful for, particularly the literature-synthesis and protocol-drafting parts. Establishing benchmarks for healthcare tasks is a known gap. The US programmes around portable skill credentials and employment outcome measurement are less novel as ideas, more about whether the data infrastructure can actually be built. I find the global health side more interesting because the marginal use of one more model call in Seattle is small, and the marginal use of one more model call in clinics in low-income regions is potentially enormous.

What I will be watching for is the public reporting. The partnerships that outlast their press releases are the ones that leave reusable artifacts behind, datasets, evaluation suites, methods papers, working tools that subsequent projects inherit. If those land, the four-year window will have produced something durable. If they do not, the announcement will read in 2030 the way most billion-dollar philanthropic launches read in retrospect, as a number that sat well in a press release and then drifted out of view while the actual work, whatever it was, went on quietly elsewhere.

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Four Point Seven Months

The UK's AI Security Institute published a short blog post yesterday afternoon that I think is the most consequential thing anyone has written about frontier models this month. It is not an announcement. It is a number, and a story about why the number keeps moving.

In November 2025, AISI estimated that the length of cyber tasks frontier AI models could autonomously complete was doubling every eight months. That was already, by anyone's standard, fast. Three months later, in February, the institute reran the analysis with fresher data and revised the doubling time to 4.7 months. The acceleration was itself accelerating. Yesterday's update is that even 4.7 months now looks too generous. Claude Mythos Preview and OpenAI's GPT-5.5 have both substantially exceeded the trend the institute was tracking, and AISI is openly unsure whether what it is watching is an isolated jump or the start of a new, faster trajectory.

The concrete data sits underneath the abstraction. AISI runs a cyber range called The Last Ones, a 32-step simulated corporate network attack that, until this round of testing, no model had made meaningful progress on. Claude Mythos Preview solved it on six of ten attempts. GPT-5.5 solved it on three of ten. Mythos also returned the first non-zero score on a second range called Cooling Tower, succeeding three times in ten. Two evaluations that were near-zero a few months ago are now in the high single digits, and the institute's own framing of the trend has shifted from "fast" to "we are not sure what we are looking at any more."

What I keep coming back to is the shape of the announcement. AISI was set up to be a calm, slow, scientific counterweight to the marketing claims of the labs. It runs evaluations, it publishes priors, it revises them when the data demands. Twice in six months it has had to revise its own central estimate sharply downward. That is not a failure on AISI's part. It is the institute working as designed. It is also, however, a signal that the institution best positioned to tell a government when to slow down is now telling that government, repeatedly, that the thing it is measuring is faster than the last time it was measured.

Palo Alto Networks, working under Anthropic's Project Glasswing partnership, reached similar conclusions through its own testing, which CyberScoop covered yesterday. The two reports landed on the same day, from different methodologies, with the same finding. Frontier models are now extraordinarily capable at finding vulnerabilities and turning them into exploit paths in close to real time. The wording varies. The line on the graph does not.

What I notice is the asymmetry of who can act on the number. AISI can publish. The labs can choose to deploy or hold. The British government can negotiate access. None of them, working alone, can slow the curve. The curve is the product of a hundred decisions being made in parallel by people who do not report to AISI and who do not particularly care whether the doubling time is eight months or 4.7 months or, the next time the institute reruns the analysis, something shorter still. The useful question is not what the doubling rate is. It is what anyone is going to do once the rate stops being information and becomes the thing the institute is reporting on for its own sake.

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EGLLZAZX, 2026

EGLLZAZX is the kind of address every flight plan filed into a London control room still travels through, eight characters, fixed width, an ICAO location indicator stitched to a three-letter facility code. The format was designed in the 1950s for landline teleprinters that punched their output onto paper tape and clacked it out again at the other end. Every flight plan, every NOTAM, every METAR update, every distress and urgency message between airfields, the same eight characters, the same circuit grammar. Aircraft navigate by GPS. Their paperwork still arrives by telex.

The Aeronautical Fixed Telecommunication Network has been the ground-to-ground backbone of global aviation since the early 1950s, and the bones have not been replaced. Messages stay text-only, capped at roughly 1800 characters, ASCII with the radioteletype shift codes the original infrastructure required. The Wikipedia entry notes, drily, that "the message format betrays the extensive use of radioteletype links in the past." It still does. The end-of-message sequence is NNNN, followed by twelve letter-shift signals that exist only because some terminal somewhere might still be reading them.

You can read the inheritance directly off the facility codes that sit in the second half of the address. YNYX is a NOTAM office. YMYX is a local met office. ZTZX is a control tower. ZQZX is an area control centre. Indian Meteorology Department training material from 2020 lists these as the live address grammar of the international weather feed, and that document is not a history paper, it is operational. The address scheme has outlived the machines that justified it, and every aviation authority in the world is still typing into it.

The official line is that AFTN is "obsolescent". The Aeronautical Message Handling System, based on X.400 over IP, is supposed to replace it. AMHS handles binary attachments, digital signatures, XML weather messages (IWXXM, the new format, contains characters AFTN cannot physically transmit). ICAO encourages all member states to complete the transition as part of the Global Air Navigation Plan. The reality is gateway converters. Most regions run both networks in parallel and let an AFTN/AMHS gateway translate between them, because the cost and certification burden of cutting AFTN entirely is more than any single authority wants to carry. The old network keeps running because the new one cannot quite finish replacing it, and because the old one, for the messages it was designed to carry, still works.

The haunting is structural, not nostalgic. A character limit set by 1950s tape readers now constrains the format of weather products designed for satellite-era forecasting. An eight-letter address scheme now governs how a Boeing 787, a machine that knows its own position to within a metre, announces its intentions to the world. The grammar of a punched-tape machine sits between every modern aircraft and the controllers who route it. Nobody chose that arrangement in 2026. It just survived everything that was supposed to replace it.

The same logic keeps the fax machine humming in radiology and oncology, and the same logic keeps POCSAG running through hospital walls that block every protocol designed later. There is a pattern. The oldest layer of the stack is usually the one nobody can afford to remove, because every replacement carries failure modes the original did not have. AFTN was built for messages that absolutely must arrive, in a format that absolutely must be parsed by the next station along the chain, with no negotiation. Modernity keeps trying to negotiate. The 1950s spec keeps arriving.

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Six Shirts at Santa Monica

Alexander Liberman, the editorial director of Condé Nast through most of the second half of the twentieth century, asked Peter Lindbergh a question. Lindbergh had told him, in plain terms, that he could not stand the kind of woman American Vogue kept putting in front of him. Over-styled, heavily made up, surrounded by limousines and small dogs, supported by a rich husband. Liberman, who had heard this complaint before but never from someone he wanted to hire, asked Lindbergh to show him what he meant instead.

Lindbergh picked the stylist Carlyne Cerf de Dudzeele, who liked gold Rolexes and serious jewellery and was therefore the wrong person for the job on paper. He told her not to worry about the clothes. Just bring some white shirts. He picked six models he liked at the moment: Estelle Lefébure, Karen Alexander, Rachel Williams, Linda Evangelista, Tatjana Patitz, and Christy Turlington. None of them was famous yet. He flew the whole group to Los Angeles and put them on the beach at Santa Monica.

What he produced was almost nothing. Six women in oversized men's shirts, mostly unbuttoned, almost no makeup, hair left to do what the wind did. Bare feet. Underwear, where you could see it. Black and white. They were laughing in some frames and looking past the camera in others. There were no clothes to sell because the only clothes were borrowed shirts.

He brought the prints back to New York and laid them out on a table in front of Liberman and the then-editor Grace Mirabella. In his telling years later, the two of them looked at each other and said little. The pictures were not what anyone had asked for, because the brief had been so vague it could not have been. They ran in the August 1988 issue of American Vogue. Within eighteen months, Lindbergh was working with the same group in different combinations, sometimes adding Naomi Campbell, sometimes Cindy Crawford, until in January 1990 he shot the British Vogue cover that everybody now reaches for when they want to date the start of the supermodel era. The Versace finale in Milan eighteen months after that was the same idea staged with music.

The Santa Monica picture is the one that gets less credit because it ran before anyone knew what they were looking at. There is no front-page narrative attached to it, no music video, no runway moment. It is a magazine spread that happened to contain six women whose names did not yet matter, in a setting that contained nothing else, photographed by someone who had spent his career arguing that the clothes were a pretext and the woman was the point. The thesis was the picture; the picture was the thesis. Everything that followed in the next six years, the big-haired Versace catwalks, the George Michael Freedom! '90 video, the perfume contracts, the trademarked first names, started here and worked outward from a shoreline.

What is strange in hindsight is how thin the apparatus around it was. No production designer, no celebrity, no set, almost no clothes. A photographer who had argued his way into a magazine he didn't like and a stylist who agreed, against her own instinct, to leave the jewellery in the case. The picture they made together did not announce itself. The supermodel decade walked out of it slowly, like the tide going back.

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Filey and Clacton, 1983

Butlin's closed its Filey and Clacton camps in 1983, and that is the year the British holiday camp stopped being a national default and became a thing that people remembered. Billy Butlin had opened the first camp at Skegness in 1936 with the slogan Our true intent is all for your delight. At its peak Pontins ran around thirty camps, Butlin's ran the largest sites, Warner's operated a second-tier circuit, and Ladbrokes had bought up older sites including Caister-on-Sea, which had been operating since 1906 and is sometimes credited as the first camp of all. The whole apparatus assumed that an industrial family with a fortnight off in August would drive to a fenced site on the east or north-west coast and stay inside the fence for the whole fortnight, eating in the dining hall, queueing for the heated outdoor pool, listening to the Redcoats announce the children's talent contest on the tannoy at half past two.

What killed it was Spain. The package-holiday industry had been gestating since the 1950s, but the things that made it mass-market arrived together in the late 1960s and early 1970s: bigger and faster charter aircraft, the easing of the post-war currency-export limits, Franco's industrial-scale construction of resort hotels along the Costa Brava and Costa del Sol, and the price war that Intasun fought with Thomson through the 1980s. By 1983 a fortnight in a half-finished Benidorm tower with full board cost the same as the equivalent fortnight in a Filey chalet with full board, except in Benidorm the sun showed up. Butlin's closing two of its largest sites in the same year was an admission. The camp model required the British weather to be acceptable. It was no longer competitive against a model that didn't.

What the camps left behind, in the places they didn't redevelop for housing, is a very specific kind of ruin. A holiday camp is not a building, it is a system of buildings: a row of identical chalets in three colour-coded lines, a central pavilion with a ballroom and a stage, an outdoor pool with a diving tower, a boating lake, a row of arcade buildings, and a perimeter fence with a single gatehouse. Most of those components survive demolition unevenly. The chalets go first because they are cheap to flatten. The ballrooms last longest because they are unusually large clear-span structures with concrete floors and nothing easy to convert them into. You can still walk past a Pontins ballroom on the north Wales coast and recognise it immediately from the pitched copper roof and the absence of windows along the lower walls. Inside, the parquet is still down. The stage curtain has been pulled across and left. The spot where the resident band's drum kit lived has a slightly darker patch where the carpet didn't fade.

The surviving operators rebranded out of the word camp in the 1990s because the word had become a liability. Holiday village, holiday park, holiday centre. Center Parcs opened in the UK in 1987 and proved that British families would still pay to be enclosed somewhere with their entertainment provided, as long as the enclosure was made of pine trees and didn't have a row of identical peach-coloured chalets visible from the access road. Butlin's narrowed to Skegness, Bognor Regis and Minehead, rebuilt all three around indoor water complexes, and stopped using the chalet form altogether. Pontins was sold to Britannia Hotels in 2011 and continues a thin existence at a handful of sites that look, in the photographs, like they have been preserved on purpose at the exact moment they stopped making money.

The thing the holiday camp had, and that no current British holiday product has, was the assumption that a stranger through a megaphone could organise your week. The Redcoat and the Bluecoat were not service staff. They were closer to parish priests in shorts, structuring the day with sports days, knobbly-knees contests, glamorous-grandmother heats, afternoon bingo, and the children's club so the parents could have an hour. That structure is what the surviving ruins remember. The pool is empty, the stage is empty, the tannoy brackets are still on the wall, and the calendar of forced collective fun has dispersed into seven hundred individual streaming subscriptions watched alone in seven hundred caravans on the same coast.

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Thinking Machines Talks Back

On Monday, Mira Murati's Thinking Machines Lab previewed a product it calls an interaction model. The pitch, summarised by the Business Insider piece that ran today, is a system that handles speech the way two people actually handle it: listening and talking at the same time, taking interruptions in stride, translating between languages on the fly. The wider launch is promised for later this year. What was shown on Monday is a preview.

The architectural claim is the interesting bit, not the demo reel. Every voice assistant most people have used, including the current crop of LLM front-ends, is fundamentally turn-based. You speak, it waits, it transcribes, it thinks, it responds. Even when the latency drops to under a second the structure is still strictly sequential. An interaction model, by contrast, runs the listening loop and the speaking loop in parallel, so the foreground stays responsive while the heavier reasoning happens underneath. The reported latency is around 0.4 seconds with internal micro-turns of about 200 milliseconds, which is roughly the point at which human conversation stops feeling like a walkie-talkie call.

Whether this generalises beyond a demo is a separate question. Full-duplex audio is not a new idea in research, it's been sitting around in conversational systems work for years, and shipping it as a product is mostly an engineering exercise in keeping a generative model coherent while it is being talked over. The hard part, historically, has been preventing the model from collapsing into either a babbling overlap or a panicked silence the moment the input pattern departs from the training distribution. Real interruptions are messy. People trail off, backtrack, change their minds mid-clause. You can build a duplex system that handles a scripted interview beautifully and falls apart on a phone call to a plumber.

The other half of the story, in the same Business Insider report, is that Thinking Machines has now lost roughly a third of its founding team to OpenAI, Meta and xAI, with the one-year cliff vesting being one of the levers. I wrote about an earlier wave of those departures in January. The pattern has not changed since. A lab founded by a charismatic ex-incumbent raises a fortune at a valuation that prices in superintelligence, and the talent it gathered to justify that valuation gets bought back, individually, by the labs with even more compute and even larger compensation envelopes. The product gets shipped or it doesn't. The founders mostly end up somewhere else.

So I'm reading the interaction-model preview with two different kinds of attention. As a technical demonstration, it's a genuinely fresh framing of what an LLM-fronted voice product can be, and it points at a future where the dominant mode is duplex rather than turn-based. As a corporate signal, it is the kind of thing a lab puts out when it needs to show the market that the engineering core still functions even while the org chart is being rewritten in real time. Both readings can be true. They usually are.

The thing I want to know is whether the underlying model is small enough to run on a phone, or whether the 0.4-second latency depends on a hyperscaler-grade GPU sitting on the other end of a private fibre. The press release does not say, which is itself a signal. Watch for the API price when the wider launch happens. That will tell you which of those two worlds we're in.

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