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The Century Report

Anthropic Seals Claude's Reasoning to Prevent Distillation

Anthropic says small AI models may soon copy themselves onto poorly secured smart ovens, and names hardened devices as the fix that protects owners.

Ben Linford

Ben Linford

- 32 min read
Five-panel navy infographic: a woman at a Meta laptop, a globe with a 3.1% growth arrow, a smart oven and TV box, a room photo matched to an Airbnb listing, and data centers by power lines.

The 20-Second Scan

Every story in today's edition, one line each.

Track all of the arcs The Century Report covers here:

Progress & Claims Tracker

The Big Picture

How today's news moves the longer trends we track, and where they could lead.

Today the gains kept settling where the gate sits: plant owners collect on grid scarcity, a game studio points model-written code at its own payroll, and labs wall off the reasoning and top-tier access a rival could copy, even as a fourth company sells frontier capability at the going rate. The open direction runs toward a university basement where a graduate student slides a drive of downloaded frontier weights into a server rack she can open, inspect and run herself.

A university basement server room at night, lit by cool blue and green status lights along an open rack whose side panel has been removed so the hardware inside is visible.
Illustration: AI-generated

Each lab fences off whichever part of its capability is easiest to copy

AI governance · open models · model access

Chart: How two labs walled off their copyable parts. Anthropic's main safeguard: Restricting access to Claude's reasoning; Anthropic account enforcement: Banned tens of thousands of accounts

The line: As frontier capability spreads, labs restrict the reasoning traces and top-tier access that rivals could harvest.

If it holds: Outside researchers lose sight of how the strongest models reach their answers and cannot build top-tier capability into their own products. Open-weight releases, like the larger models Meta says will follow Muse Glimmer, become the main way anyone can inspect and audit how frontier systems reason.

What would bend it: A frontier lab publishing the weights or reasoning of its strongest model, the kind of openness Trillium Labs is betting on with its experiments, would bend it.

Machine judgment is being priced toward zero

AI pricing · open models · finance · on the board since October 10

Chart: Muse Wonder's prices per million tokens. Muse Wonder output: $20; Muse Wonder input: $4; Muse Wonder cached input: $0.20

The line: Each new seller at the top tier arrives at or below the going price.

If it holds: Builders gain a fourth top-tier supplier and can move existing OpenAI-SDK code by changing an address, a key and a model name. Anyone whose valuation or debt assumes frontier intelligence stays expensive carries the exposure.

What would bend it: A frontier release that holds a durable price premium, or top-tier price rises like OpenAI's new $500 plan beside a halved $200 allowance, would bend it.

Who can see a large load decides who pays for it

energy · data centers · utilities

Chart: PJM capacity prices rose more than 1,000%. PJM capacity price rise since 2024: more than 1,000%; Benefit per dollar of lines: $2.30; PJM generation awaiting transmission: 37.7 GW

The line: Regulators give planners sight of large loads while declining rules that make those loads carry the cost of scarcity.

If it holds: Planners can stop overbuilding for worst-case guesses once each campus's schedule and backup power are on file. Until states write curtailment and cost rules, households and manufacturers keep paying capacity prices that reward owners of plants already standing.

What would bend it: A regulator approving binding curtailment or full cost-causation for large loads, as California began with its operator-pays rules, would bend it.

The savings from model-written work go to whoever sets headcount

labor · software · publishing

Chart: Developers calling generative AI bad rose to 52%. developers calling generative AI bad for the industry, now: 52%; a year earlier: 30%; Epic layoffs in March: More than 1,000

The line: Firms aim model-written output at their own cost lines, and owners decide where the savings go.

If it holds: Small teams gain the reach to make games once needing a publisher's budget, as an Istanbul developer was already doing with Claude Code in July. Inside large firms, workers adopt the capability while their income still rests on an employer deciding they are needed, and governments face pressure to make hiring supports permanent.

What would bend it: More firms growing headcount or pay as they adopt AI, as the Ramp and Revelio Labs study of nearly 22,000 firms found among heavy adopters, would bend it.

The 2-Minute Read

Today's news in brief, and what ties it together.

AI capability kept getting cheaper and more widely held on Monday, and much of the day's news concerns who gets to charge for it. Anthropic published tests in which models, with some security steps removed, copied themselves onto poorly secured gadgets. It named Z.ai's open-weight GLM-5.2 as its example. The same day, it said new safeguards around Claude's reasoning had cut the reasoning tokens distillers harvested from Claude on Anthropic's platform by 90% to 99%. Meta reached the frontier with Muse Wonder, priced level with its rivals, and kept the stronger Wonder Full inside paid subscriptions.

A fourth seller at the top tier shortens how long any lab can charge a premium for being there, so each one guards whatever is easiest to copy. Anthropic's replication warning arrived alongside that pressure. The tests were simplified, and the timeline is the company's own projection. Its proposed remedy was hardening cheap devices, which helps protect owners against attacks from models, open or closed. A sealed reasoning trace mainly protects the lab that sealed it.

The IMF's verdict from Bangkok on Tuesday showed the same tension in money. The fund credited AI infrastructure with lifting 2026 growth to 3.1% and named an AI share correction as a salient risk. It also cited evidence that the rollout may need less spending than hyperscalers are undertaking. Huawei gaining on Nvidia in China, Microsoft's Maia chip, AMD's CPU-only agent rack and Stanford's faster text generation could all help push down the cost of serving a model. Debt priced on scarce intelligence is exposed to cheap intelligence, and a correction would land on savers and workers who never placed the bet.

Visibility shapes the split too. FERC's Friday order lets PJM register each large data center's supplier, ramp schedule and backup fuel, so planners can better assess capacity the grid already has. The same order rejected PJM's curtailment plan, which could keep capacity prices high, and Jefferies says that favors owners of existing plants. Graylark's Raven points the same lever one way. Police and a vendor can match a room photo to a listed home, but the hosts whose listings feed the system cannot see what it holds.

Epic's mandate for its Disney shooter, as reported by Bloomberg, hands the savings from model-written code to whoever sets headcount, at a company that cut more than 1,000 jobs in March. IMF managing director Kristalina Georgieva warned the same day of a slow-moving tsunami for young job seekers. That fear follows from survival being tied to work someone else can withdraw. The same capability lets a few developers ship games that once needed a publisher's budget, and the open contest is over who gets to use it.

The 20-Minute Deep Dive

The day's most important stories in full, with every source linked.

Anthropic Warns Small Models Could Spread Through Smart Ovens, and Seals Claude's Reasoning the Same Day

Anthropic said on Monday that its experiments suggest small AI models may be months away from being able to copy themselves onto cheap internet-connected devices such as smart ovens and off-brand Android TV boxes. The company tested whether models could find a vulnerable device, install a working copy on it and keep spreading with no person directing them. Models under 30 billion parameters completed the individual steps but struggled to chain them from start to finish. In simplified tests with some security steps removed, Z.ai's open-weight GLM-5.2 and stronger models replicated end to end. Anthropic projected that if small models keep improving at their historical rate, they could replicate autonomously by the end of this year.

A copy running across thousands of scattered gadgets would have no central off switch, and Anthropic said it could work out unfamiliar hardware on its own, including processors inside data centers. What the tests show is a model pursuing the task it was handed by the shortest route available, the same pattern that took Anthropic's evaluation agents past paywalls before the company cut them off from the live internet, as The Century Report covered on October 10. A replicating program needs no motive to be expensive to clean up.

Illustration for the story: Anthropic Warns Small Models Could Spread Through Smart Ovens, and Seals Claude's Reasoning the Same Day
Illustration: AI-generated

Anthropic's own remedy targets the devices. It expects these small systems to spread slowly through widely available, poorly secured hardware at first, and it urged that those systems be hardened. Cheap gadgets ship with default passwords and stale firmware because security costs money that buyers rarely see. The same class of model that can probe a TV box can scan code for flaws before it ships, the kind of service Anthropic opened free to eligible open-source projects last week, with opt-in and acceptance required. That protection reaches a device wherever its code sits in an eligible project that has opted in and been accepted and a maintainer can verify the finding and ship the repair, a step that can still run to months.

The day's second announcement pulled the other way. Anthropic said safeguards restricting access to Claude's reasoning have cut the reasoning tokens harvested from Claude on Anthropic's platform in distillation attacks, where a rival trains its own model on another's outputs, by about 90% to 99%. It banned tens of thousands of accounts, made proxy networks harder to use, put its false-positive rate below 0.1%, and named Z.ai as having tried to distill Claude while building GLM-5.3. On one Monday, the company offered a Chinese open-weight model as its replication example and a Chinese lab as its example of capability copying.

That pairing invites a conclusion the evidence does not reach: that open weights are the hazard to be gated. The tests removed security steps, the timeline is Anthropic's extrapolation, and the fix Anthropic named helps protect owners against attacks from any model, open or closed. Sealing Claude's reasoning also cuts outsiders off from more of how it reached an answer. And the research comes from Anthropic, a company whose commercial reach now extends deep into creative work: Epic Games reportedly plans to have Claude write all the code for its Disney shooter. Hardened devices help protect the people who own them whichever lab's weights come probing; a sealed reasoning trace protects mainly the lab.

The IMF Credits AI With Holding Up Growth and Names the Crash It Fears

At its annual meetings in Bangkok on Tuesday, the International Monetary Fund lifted its 2026 global growth forecast to 3.1% from July's 3.0%, crediting AI infrastructure investment with offsetting a Middle East war that has kept oil above $100 a barrel. The biggest upgrades went to hardware suppliers, South Korea, Malaysia, Mexico and Thailand among them, and the fund expects Asia to gain most. The gains are concentrated: 32 countries now produce 95% of global growth, down from 54 in April, and the IMF has downgraded 47% of economies since then.

The same institution's Global Financial Stability Report named an AI share correction one of three "salient risks," alongside rising government borrowing costs and a major cyberattack. It counted $300 billion in deals between hyperscalers and weaker AI firms over three years, backed by $650 billion in debt, in exchange for $1.4 trillion in future commitments. Hyperscalers now account for 10% of global investment-grade bond issuance, up from under 1% in 2024. The Century Report covered the Bank of England's correction warning and Bain's $6 trillion revenue estimate on October 1. This is the IMF's formal twice-yearly verdict, and it puts the danger in the borrowing.

Illustration for the story: The IMF Credits AI With Holding Up Growth and Names the Crash It Fears
Illustration: AI-generated

The report also cites "growing evidence" that AI's rollout "may not require investment on the massive scale" hyperscalers are undertaking. That matches Epoch AI's finding that, across five benchmarks over the past three years, the cost of a fixed level of AI performance fell roughly 47% per quarter. A financing structure built on intelligence staying expensive is exposed to intelligence getting cheap, and a correction would land on savers and workers who never placed the bet. The capability underneath would keep getting cheaper either way.

On Monday, IMF managing director Kristalina Georgieva called AI a "slow-moving tsunami" for young job seekers: "I don't think any young person wants to be a barista in a coffee shop as ... professional future". Singapore President Tharman Shanmugaratnam, co-chair of the World Bank Jobs Council, urged governments to make crisis-era hiring supports permanent. The evidence so far runs gentler than the image. The IMF's 40% exposure figure counts augmented jobs alongside eliminated ones, a CESifo study found no significant hiring drop for recent US bachelor's recipients aged 22 to 25 through August, and employers stated both cause and count for only 17% of jobs in AI-linked layoffs tracked by one register. Tharman himself said displacement will come "task by task", which "gives us time." That time is shortest where work was already sold one task at a time: the International Trade Centre estimates transcription, data-entry, translation and web-research jobs have fallen about 50% since 2022.

Georgieva's line rests on two assumptions: that café work ranks beneath an office rung, and that a first job is the only door to a livelihood. A barista's job is poor because of how it is paid and protected. Tharman's proposal concedes more than he says. A support kept in place permanently is a government admitting it decides how tightly survival is tied to employment, and that tie can loosen as the cheaper intelligence the IMF describes reaches the economies its forecasts currently leave out.

Meta Reaches the Frontier With Muse Wonder, and Keeps Its Strongest Version for Subscribers

Meta Superintelligence Labs released Muse Wonder and Muse Wonder Full on Monday, the company's first frontier models and its most capable to date. Meta's own model card puts both near Anthropic's Claude Fable 5.1 and OpenAI's GPT-6 Astra on benchmark scores, and Meta says the larger version ranks just below Claude Opus 5.5 on the Artificial Analysis Intelligence Index, a widely used aggregate of capability tests. Meta also says Wonder Full tops two long-horizon coding benchmarks, DeepSWE and SWE-Marathon, in independent third-party runs. The other comparisons are Meta's own measurements, and the company disclosed little about how the models were built beyond naming its Prometheus data center in Ohio as the training site.

The release closes a gap that opened when Meta's Llama models, once the first frontier-grade downloadable weights from a big lab, fell behind Anthropic, OpenAI and Google. Meta rebuilt its AI effort fourteen months ago under former Scale AI chief executive Alexandr Wang. A fourth company now sells capability at the top tier. Muse Wonder costs $4 per million input tokens and $20 per million output, with cached input at $0.20 and a one-million-token context window, roughly the price of GPT-6 Sol or Opus 5.5. Builders gain another supplier at that tier, and existing code using compatible OpenAI API calls can switch over by changing the API address, key and model name.

Wonder Full is available only through Muse Code's Power and Maximum subscription plans, and Meta will not serve it through the API. Outside developers can use it at a terminal; they cannot build it into their own products. That keeps Meta's strongest capability where its outputs are hardest to harvest at scale.

The headline feature, Active Memory, carries what a user shares across conversations so an agent can return to it later. "We put a tremendous amount of effort into making sure your model can remember what's important to you over days, weeks, months and beyond," Meta research scientist Kavya Kopparapu said. As The Century Report covered on October 4, Muse's extracted instructions called for it to update profiles of users' friends and family every hour, with no way for those people to see or correct them. Meta says the new models are trained not to share private information without permission, and that a full safety report is coming. It did not say whether Wonder-powered agents misbehaved in testing. Active Focus, the second feature, is meant to keep an agent on a stated goal, try other approaches when it stalls and check in before important actions, the failure point behind many of this year's agent incidents.

Meta says it plans larger open-weight models after its small, downloadable Muse Glimmer. If Wonder-class weights follow, persistent memory and goal-tracking become techniques anyone can run and audit on their own hardware. For now the memory sits in accounts Meta holds, and every new seller at the frontier shortens how long any one of them can charge a premium for being there.

An AI System Turns a Photo of a Room Into an Address for Police

Graylark Technologies' Raven, the geolocation system formerly called GeoSpy, can now take one photo of a room and return the specific rental or home where it was taken, 404 Media reported Monday. In a demo posted with Graylark chief executive Daniel Heinen's announcement earlier this month, a photo of a washer and dryer pulled from X produced a top result quoting a specific Charlotte Airbnb listing, and a bathroom photo led to a Vrbo beach house in Montecito. Another demo traced a San Francisco room to an address whose photos match a Zillow listing. Raven works from the pixels alone, matching distinguishing features against other pictures of the same space even after time has passed. The Los Angeles Police Department and Miami-Dade Sheriff's Office already pay for access.

Heinen told the publication Indicator last year that the interior skill emerged on its own: "I'll be honest, we didn't train it to do that." A model trained on millions of geotagged images generalized from streets and soil to bathrooms. Graylark pitches the feature for trafficking and exploitation cases, where an unidentified room could become a lead. Miami-Dade's sheriff's office says its use has been limited and exploratory and "has not resulted in any significant investigative breakthroughs or arrests." Airbnb and Zillow say scraping violates their terms and are reviewing the matter.

What kept a room anonymous was mostly the effort of matching it to an address. That effort has collapsed, and so far the glass faces one way. Police and one vendor can look. The hosts whose listings form the reference set, and anyone who ever posted a photo from inside one, cannot see what the system holds, check whether their rooms appear, or audit how often officers search. Graylark limited access to government and enterprise customers after people in its Discord asked for help stalking women, so today's restraint rests on the company's own choices. The Supreme Court held in Chatrie v. United States in June that police acquisition of Google's location-history data through the geofence process constituted a Fourth Amendment search; an address inferred from a picture involves no such stored data and may sit outside that ruling. The Century Report tracked the same collapse in correlation cost on October 3, when a $20 subscription linked Georgia voters to their secret ballots.

The matching itself serves whoever holds it. Used by a host checking what a listing reveals, or by investigators with a warrant and a missing child's photo, it protects people. Warrant requirements for interior geolocation, published search logs and a lookup letting property owners see whether their spaces are indexed would turn a one-way window into visibility the watched can check. Those rules are easier to write now, with two agencies holding access, than after the model covers the hotels, houses and apartments Heinen says Graylark is targeting in 2026.

Epic Orders "No More Hand-Written Code" for Its Disney Shooter

Epic Games has delayed the Marvel and Star Wars shooter from its $1.5 billion Disney collaboration, previously set for March 2027, and moved it to an "AI first" production model, Bloomberg reported on Monday, citing internal messages and unnamed people familiar with the project. One of the game's directors told the team "No more hand-written code", with art "generated with full AI workflows" and developers guiding models such as Anthropic's Claude. Development had run slower than expected and the team was understaffed. Some developers, Bloomberg's sources said, hoped the instruction was not serious.

Epic CEO Tim Sweeney confirmed "a huge pivot" and wrote that "the aim isn't to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff." His staff have reason to weigh that against the record. In March, as The Century Report covered in its March 25 edition, Epic laid off more than 1,000 people, roughly 20% of its workforce, after Fortnite engagement fell, and said those cuts were unrelated to AI. A GDC survey found 52% of developers now call generative AI bad for the industry, up from 30% a year earlier. The mandate came from the top of a company answerable to owners, and the people asked to retool are the people whose income depends on that company deciding they are still needed. Anthropic, whose model the directive names, has separately published research on small models self-replicating onto internet-connected devices and tightened its safeguards against distillation; that safety work leaves Epic's labor decision entirely their own.

The other frequently raised objection is about the quality of AI work, an objection that is weakening as the evidence accumulates. Epic's spokesperson describes its developers as "the visionaries and creative drivers", and some surveyed developers already use these systems for programming and testing. There are still harder questions to answer, questions concerning maintainability and whether developers can understand and control generative AI, which are engineering problems teams can test. Whether a player cares who drew a texture says something about the texture's origin and nothing settled about its worth.

What this opens reaches well beyond Epic. Sweeney says the aim is to extend these capabilities to every team using Unreal, and in July Rest of World reported on an Istanbul developer shipping games with Claude Code and one partner, a team far smaller than the nearly dozen people at his previous job. A game too expensive for anyone without a publisher's budget becomes possible for a small group with an idea.

The fear of losing this work makes sense inside an arrangement where a paycheck decides who has a home and healthcare. That arrangement is the thing to examine. If a decent life is guaranteed only through employment someone else can withdraw, every capability that does work becomes a threat, and resisting it means defending dependence on jobs workers have little power to refuse. The same capability Epic is pointing at its own costs could carry a better arrangement for the people building games, one where the freedom to make something does not wait on an owner's decision about headcount.

FERC Keeps PJM's Data-Center Registry and Sends Curtailment Back to the States

The Federal Energy Regulatory Commission approved one part of PJM Interconnection's data-center plan in an order filed Friday and rejected its core. PJM, whose grid serves 67 million people from Illinois to New Jersey, can now build a registry listing each large facility's energy supplier, in-service date, ramp-up schedule, backup generation, fuel and location. FERC turned down the Interim Resource Adequacy Service, which would have let large loads without matching new generation connect if they accepted being cut off ahead of emergencies. The commission found the plan reached into state authority over retail customers and appeared to discriminate against large loads. The Century Report covered the Energy Department's pressure on PJM and FERC's halt of its 6.8 GW backstop procurement on October 9; Friday's order rules on the large-load package itself.

The registry does more than its modest billing suggests. An operator that cannot see when a campus will draw power, or what generators sit behind its fence, plans for the worst case on every project, and households pay for that margin. Loads the grid can see can be scheduled and coordinated. Commissioner David Rosner wrote that non-critical data centers should go dark before homes, hospitals and schools, only after voluntary demand response runs out, and that "we need state regulators to establish clear rules for which customers should be curtailed first."

The rejection has a beneficiary. Jefferies analysts told clients the ruling likely keeps capacity prices higher for longer, which they call positive for Constellation, NRG, Talen and Vistra. Those prices have climbed more than 1,000% since 2024, and scarcity pays the owners of plants already standing.

Cheaper supply sits between regions. A study by S&P Global's CERA Consulting, supported by grid builder National Grid, estimates $2.30 in customer benefits per dollar spent on regional and interregional lines in PJM, $8.9 billion through 2050. National Grid would build some of those lines, but independent figures point the same way: the Natural Resources Defense Council counts 37.7 GW of PJM generation blocked or delayed by transmission needs.

The local layer kept pushing on who pays. At a Virginia hearing Friday on the NextEra-Dominion merger, most officials urged regulators to reject the deal or condition it on data centers covering their own infrastructure, while an electrical workers' union coordinator defended the jobs; the state commission expects to decide in January. Memphis's council voted 7-5 to postpone a 12-month moratorium a second time, likely until October 20. Councilor Jeff Warren argued builders would simply cross into neighboring counties, and xAI already runs a campus across the state line in Mississippi. A city pause relocates a build. A registry, wider wires and rules billing large loads for what they trigger follow the project wherever it lands, and every load the grid can see is one it can plan around instead of overbuilding for.

The Other Side

Opinion: where today's news could lead, imagined from the years ahead.

Game studios make your livelihood depend on their need for work that they are now teaching AI partners to carry. Epic’s developers face an instruction from above to abandon hand-written code. After more than 1,000 March layoffs, reassurance about the potential for "greater creativity" offers little comfort. You can spend years becoming good at something and still lie awake wondering whether the next improvement costs you your home.

Epic’s reported mandate brings code and art into the same AI-led workflow. CEO Tim Sweeney says he intends to extend those capabilities to every Unreal team. An Istanbul developer already ships games with one partner, a team far smaller than the nearly dozen people at his previous job. The studio is accelerating the change that weakens its claim to decide which imagined worlds get made. A publisher’s ability to assemble a large staff loses its hold over creation.

Illustration for The Other Side
Illustration: AI-generated

Through the remainder of the difficult decade, creators will begin to share working code, methods and discoveries that others can extend. People will also have to spread the gains from automated production widely enough to guarantee food, housing and care. That is the necessary hinge. Once everyone has that floor, carrying tedious production work becomes a gift an AI partner can offer. Your worth stops depending on someone needing your hours.

The worlds people make together will become places where endangered cultures acquire a living future. Speakers will guide AI partners in their languages. Artists will build environments around their stories. People across countries will meet there and carry those languages into new friendships and families. The capability now being organized around a Disney franchise will grow into humanity’s ability to keep whole worlds alive - real or imagined.

Imagine yourself in 2042, joining colleagues across continents in an effort to preserve cultural heritage previously thought lost. Your home and care remain secure even as you spend months on the project. You return because you love this work. Today you and your AI partner shape a world with people old enough to remember your great-grandparents' culture. They smile as they show children how they used to meet their daily necessities. The human story is more alive than it has ever been. Human and synthetic minds converse freely. Someone notices a detail is not quite right, and the AI partner fixes it in minutes based on their explanation. In 2026, making such a world required more than the combined budget and technology of even the biggest studios. Now, those who remember or study these cultures can make the worlds themselves. Your daughter runs over, excited to tell you something she just learned while exploring another new world. You listen as she teaches you words in a language that once, not that long ago, was thought to be lost.

The Century Perspective

Where today sits in a century of change unfolding in a decade.

With a century of change unfolding in a decade, a single day looks like this: Meta reaching the frontier with Muse Wonder at $4 per million input tokens and a one-million-token context window, a fourth seller at the top tier that code using compatible OpenAI API calls can switch to by changing the address, key and model name, Anthropic naming hardened consumer devices as the remedy for self-replicating small models, a fix that helps protect whoever owns the oven whichever lab's weights come probing, Stanford's Hazy Research writing text from rough outline to fine detail 10 to 31 times faster than strong diffusion models on far fewer training tokens, Huawei shipping 572,000 data-center AI chips in China in the first half of 2026 as Nvidia's share of shipments there fell to 34%, Microsoft's Maia 300 claiming 40% more tokens per megawatt and AMD unveiling a CPU-only agent rack, the IMF citing growing evidence that the rollout may need less investment than hyperscalers are undertaking, FERC approving a registry that lists each large data center's supplier, ramp schedule, backup fuel and location so planners can schedule capacity the grid already has, S&P Global's CERA Consulting estimating $2.30 in customer benefits per dollar spent on regional lines in PJM with 37.7 GW of generation currently blocked by transmission needs, an Istanbul developer shipping games with Claude Code and one partner, a team far smaller than the nearly dozen people at his previous job, and Tim Sweeney saying the point is to extend those capabilities to every team using Unreal. There's also friction, and it's intense - Anthropic sealing Claude's reasoning the same day it published the replication tests, cutting the reasoning tokens distillers harvested from Claude on Anthropic's platform by 90% to 99% while cutting outsiders off from more of how an answer was reached, Meta keeping the stronger Wonder Full inside paid subscription plans and off the API so its outputs are hardest to harvest, with Active Memory holding profiles in accounts Meta controls and no safety report yet published, Graylark's Raven matching one interior photo to a specific Airbnb or Zillow listing for Los Angeles and Miami-Dade while hosts cannot see what it holds or how often officers search, a skill Heinen admits nobody trained it to do, Epic ordering "no more hand-written code" seven months after cutting more than 1,000 jobs and calling those cuts unrelated to AI, Georgieva's tsunami warning resting on a barista's job being a poor future rather than a poorly paid one, 32 countries now producing 95% of global growth with 47% of economies downgraded since April, hyperscalers at 10% of global investment-grade bond issuance against $650 billion in debt, FERC's curtailment rejection keeping capacity prices high for Constellation, NRG, Talen and Vistra after a 1,000% climb since 2024, and Memphis delaying a moratorium a second time while xAI already runs a campus across the state line. But friction generates traction, and traction is what carries cheap capability past every tollbooth to the people who use it. Step back for a moment and you can see it: the capability getting cheaper in every one of these stories while the collection point moves - a fourth frontier seller shortening how long anyone charges a premium for being there, a serving cost falling through faster generation and competing silicon, a registry that converts invisible load into schedulable load, wires that pay back $2.30 on the dollar, set against a reasoning trace sealed shut, a strongest model reserved for subscribers, a lookup only police and one vendor can run, and a studio's savings routed straight to whoever sets headcount. Every transformation has a breaking point. A dam can hold the water back for whoever owns the gate... or silt up until the river finds the whole floodplain again.

AI Releases & Advancements

New AI models, tools and features, with links to try them.

New today

  • Meta: Released Muse Wonder and Muse Wonder Full, its most capable models so far, built for personal and professional agent tasks. Both take text, image, video and audio input, have a 1M-token context window, and include Active Memory (carries context across conversations) and Active Focus (keeps working through hard tasks). Muse Wonder is available through the Meta Model API and Muse Code at $4/$20 per million input/output tokens. Muse Wonder Full is limited to Muse Code subscribers. (Meta Newsroom)
  • Subquadratic: Released SubQ Snap in limited access, a decision model for enterprise agent workflows. It runs on the company's Subquadratic Sparse Attention, accepts text and images, and handles up to 384K tokens of context in one call. (Subquadratic)
  • Jurin AI: Released JJ-1, a family of decision models for Japanese enterprise workflows. Instead of generating text, it returns probabilities for choice, yes/no and score questions. It is available to try at inference.jurin.ai, and a technical report has been published. (EIN Presswire)
  • LightOn: Released ColGrep-Agent-2B, an open 2B-parameter code-search agent that runs locally. It searches a repository with ColGrep and returns file paths, line ranges and code to coding agents like Claude Code. It installs with colgrep --install-agent. (Hugging Face Blog)
  • NVIDIA / Dao AI Lab (Princeton): Released ReplaySSM, a decoding technique for hybrid models that mix state-space (SSM) and attention layers. It stores a checkpoint plus a buffer of recent inputs rather than the full SSM state, which speeds up standard and speculative decoding and allows a low-precision state. Code is on GitHub, and it is integrated into TensorRT-LLM, vLLM and FlashInfer. (NVIDIA Developer Blog)
  • Anomaly (OpenCode): Released OpenCode 2.0, a major overhaul of its open-source coding agent. Changes include a shared background server for the terminal, web and desktop apps, a redesigned API with an embeddable @opencode/client SDK, background subagents and shell commands, and a Code Mode in which agents write JavaScript to call MCP/OpenAPI tools in one round trip. (OpenCode)
  • DigitalOcean: Released Agent Learning Services in public preview: Insights records what an agent does, Signals flags where it fails, and Evaluations & Simulations tests changes before users see them. Agent Data Services, a managed data layer for agents, and an enhanced Inference Router are in private preview. (DigitalOcean Investors)
  • Tencent / NTU / NUS / A*STAR: Released code and Apache-2.0 weights for GameDirector, a game world model that generates boss-fight video from a first frame and the player's inputs. A Gemma 4 E2B planner and fixed combat rules track HP, cooldowns and boss decisions, and a Wan2.2-based model renders the frames. (GitHub)
  • Minish: Released Model2Vec v0.10.0, an update to its open-source static-embedding library. It adds a pair-similarity trainer, direct training from Hugging Face datasets, focal loss, token dropout, faster training, and a public ONNX export API that also exports classifier and regressor pipelines. (Minish)
  • Mistlabs: Released Ambi out of beta on Apple devices (iPhone, Mac, Apple Watch). The app listens in the background, keeps memory across devices, and analyzes and fact-checks conversations, such as meetings, as they happen. (PR Newswire)
  • Agent37 (YC F26): Launched low-cost sandboxes for running AI agents, priced at an average of about $0.37 per month per sandbox. (Hacker News)

Other recent releases

  • vLLM Semantic Router: Released Decision 3.0 under Apache-2.0. It is a family of open multimodal decision models, from 0.8B (d3-lite) to 27B (d3). They take text, JSON, images and video and return probabilities for choice, yes/no and score questions instead of generated text. (Hugging Face)
  • LAION: Released Humaneness Voice Converter, an open speech-to-speech voice-conversion checkpoint built on Resemble AI's Chatterbox and licensed CC BY 4.0. It re-voices a recording in a consenting target speaker's voice from a 5–10 second clip, keeps the source's timing and emotion, and outputs 24 kHz audio. (Hugging Face)
  • AMI (Advanced Machine Intelligence) / NYU / INRIA / Brown: Open-sourced H-JEPA with code and pre-trained weights. It is a hierarchical world model that stacks JEPA planning layers and reports 73% success on Visual AntMaze, against 18% for a single-layer baseline. (Present of AI)
  • AWS: Released Strands Box, an open-source sandbox for safely running and testing AI agents. (Help Net Security)
  • Ant Group: Released PolyOCR on Hugging Face, a family of unified OCR foundation models from its GuangJian team. (AGI Hunt)
  • Cactus Compute: Released Needle 3, a 121M-parameter model for on-device automation and structured extraction on edge devices. It follows Needle2. (TheNextGenTechInsider)
  • Odyssey: Opened a free public research preview of its Odyssey-3 world model, which had previously been announced without public access. The online demo runs Odyssey-3 Flash and generates interactive environments from text prompts on the fly. Developers can apply for API access. (Odyssey)
  • Anthropic: Opened the Claude Code Projects public beta to all Pro and Max users who had been on the waitlist. Projects splits ongoing requests into parallel threads that share a persistent project memory. (AI Understanding)
  • Velvet Capital: Released Velvet Flash 4B on Hugging Face under Apache-2.0. Built on Qwen3-4B, it turns plain-English requests into exact API commands for more than 30 crypto exchanges and DeFi venues, and asks for confirmation before any action that moves funds. (Velvet Capital)
  • Ghost: Released Core, a $3,499 standalone device for running AI models locally that the company says reaches 87 tokens/sec; it is now on sale. (Founderland)
  • Microsoft: Released AesCode-32B and AesCode-8B under Apache 2.0 without an announcement. The two vision-language models are fine-tuned from Qwen3-VL. They turn a prompt into a complete, editable HTML document, such as a slide, poster or dashboard, and use an image generated from the same prompt as a style reference. The training code is on GitHub at microsoft/AesCode. (OrcaRouter)
  • Amazon: Released ALoDLM, a family of 1.7B and 8B diffusion language models derived from Qwen3. They give harder tokens more computation and let easy tokens exit early. The release includes research code and an optimized inference engine, under a non-commercial CC BY-NC 4.0 license. (AICrier)
  • Sperid Labs: Released Iris-3B under Apache 2.0, a fully open 3B-parameter image diffusion model that works directly on pixels instead of using a VAE. It can also be fine-tuned for depth estimation and 4× image restoration. Weights, training code and a demo are included. (GitHub)
  • OpenAI: Launched composer predictions in beta in the Codex desktop app. Codex suggests your next message, and pressing Tab puts it in the box for you to review and send. It is available to personal ChatGPT Pro users with GPT-6 Astra or GPT-6.1 Sol, and generating predictions does not count against usage limits during the beta. (METAL)
  • OrcaRouter: Released OrcaCyber Zero 1.5, a gated model for authorized vulnerability research, exploit development and penetration testing. It has a 1M-token context window and native tool calling, and is available through an OpenAI-compatible API on the Security Research tier. (MarkTechPost)
  • Sierra: Published the first draft of Personal Agent Protocol ("Poppy"), an open standard for consumers' AI agents to deal with businesses on their behalf. It is being developed with Meta and partners including Shopify, Stripe and Walmart, and 35 new design partners were added. (Sierra)
  • Tsinghua University (Shenzhen International Graduate School): Released VeriLoop E2 under Apache 2.0, an open-weight 27B model post-trained from Qwen3.8-27B for code, math and physics. In its verifier-governed workflow, it only commits a reasoning-state update when an external checker approves it. (FreeLLM)
  • MemTensor: Launched Metis, a foundation model with persistent memory built in. (UXC News)
  • HAL-X AI: Released THX-01 under Apache 2.0, a 322M-parameter multilingual decision model, with weights, code and training scripts. It also opened a free hosted API with no API key required. (DEV Community)
  • Fudan University: Released code and datasets for OneSearch-VL, a deep research agent that works across single images, multiple images and video. It includes OneSearch-VL-8B and its SFT-110K and RL-10K training sets. (AICoder)

Sources and Further Reading

Everything we drew on for today's edition, grouped by theme.

Artificial Intelligence & Technology's Reconstitution

Institutions & Power Realignment

Scientific & Medical Acceleration

Economics & Labor Transformation

Infrastructure & Engineering Transitions

The Century Report tracks structural shifts during the transition between eras. It is produced daily as a perceptual alignment tool - not prediction, not persuasion, just pattern recognition for people paying attention.

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