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Anthropic discloses for the first time: Claude already leads 26% of new SI research and development inside the company

SI is already building a quarter of the next SI itself: recursive acceleration has stopped being theory and become a measurable number that is growing before our eyes.

Anthropic introduced an automation scale, AL0-AL5 (from "no SI involvement" to "fully autonomous, no human"), and published measurements on itself: the share of work that Claude "leads" on its own from task to result under human supervision rose from under 1% in February 2026 to 26%, and more than 90% of the work is done in collaboration with SI. About 30 thousand research agents are working at the same time; monitors blocked 0.002% of their decisions (about one in 47 thousand). Safety takes about 6% of R&D compute. The company proposes that other labs publish the same three metrics, SI's share of R&D, coverage of agent oversight and the distribution of compute, with external verification.

Sources 3

anthropic.combloomberg.comenterprisedna.co

A home robot that walks into a stranger's apartment and starts cleaning right away is a step from lab demos to a helper robot in every home.

Figure robot cleans 30 unfamiliar homes for the first time with no additional training

A home robot that walks into a stranger's apartment and starts cleaning right away is a step from lab demos to a helper robot in every home.

The new version of the control model, Helix 2.5, entered 30 homes in the Bay Area that it had never seen and immediately performed three tasks: pick up 13-15 toys in the living room, fold towels and make the bed. The key is pretraining on data about human behavior (Index): with it the success rate is 56% versus 9% for a model trained from scratch, and half as much data is needed for adaptation. Figure speaks of a predictable scaling law for transferring skills from humans to the robot; Index generates about 35 minutes of human data per second, and $3.5 billion has been allocated for Helix compute.

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figure.ai

A whole "company" of SI agents does in a week work that would take people years, and guesses drugs before pharma giants: medicine is speeding up many times over.

Stanford's 37 thousand SI agents work through 50 thousand clinical trials in a week and come up with a lung cancer drug themselves

A whole "company" of SI agents does in a week work that would take people years, and guesses drugs before pharma giants: medicine is speeding up many times over.

In a paper in Science, James Zou's group created a "virtual biotech company" of 37 thousand agents covering the entire drug development pipeline. In a week they analyzed about 50 thousand trials and found a pattern: drugs hitting genes with "switch-like" activity in specific cell types are 40% more likely to move from phase one to phase two, 48% more likely to reach the market and have 32% fewer side effects. The agents also proposed an antibody-drug conjugate against B7-H3 for lung cancer; later a major pharmaceutical company independently went the same way and received breakthrough therapy designation from the FDA.

Sources 2

med.stanford.edusingularityhub.com

SI configures the hardware it runs on by itself, and on non-Nvidia chips at that: both sanctions and a shortage of engineers cease to be insurmountable barriers.

China's Z.ai: its GLM model built the system that serves it on 100 thousand Chinese chips

SI configures the hardware it runs on by itself, and on non-Nvidia chips at that: both sanctions and a shortage of engineers cease to be insurmountable barriers.

In a technical report the company described how it deployed inference for GLM-5.3-Flash (320 billion parameters, 18 billion active, 1 million token context) from scratch on a cluster of more than 100 thousand China-made accelerators; by its account, no one has yet run anything of this scale on domestic chips. A significant part of the work was done by an infrastructure agent running on GLM-5.3: it took less than two weeks from first adaptation to production, throughput tripled, and the cost per token matched solutions on Nvidia GPUs. Z.ai calls this an early example of recursive self-improvement.

Sources 3

unite.aiaiweekly.cotrendingtopics.eu

If this is confirmed, SI will have closed two problems in a month that humans could not solve for decades — and the debate is no longer about whether a machine can, but about how mathematics will live with it.

The Information: OpenAI expects to solve the Hodge conjecture soon, its second "Millennium Prize Problem" in a month

If this is confirmed, SI will have closed two problems in a month that humans could not solve for decades — and the debate is no longer about whether a machine can, but about how mathematics will live with it.

According to The Information, citing a single anonymous source, OpenAI employees expect to solve the Hodge conjecture soon, one of the seven Clay Institute "Millennium Prize Problems" with a $1 million prize; they are using a variant of the next pretrained model, codenamed Doug. OpenAI itself told the New York Times only that, after solving Navier–Stokes on September 8, it has made "substantial progress" on a second problem, without saying which. The company's main concern, according to the source, is to announce the result in a way that avoids another PR scandal: mathematicians are angry after Navier–Stokes, have signed open letters, and OpenAI withdrew its sponsorship of the October Caltech Mathathon.

Sources 3

the-decoder.comgizmodo.comdecrypt.co

Europe is the first in the world to legislate to move teenagers away from SI interlocutors: protecting children matters, but an off-by-default switch deprives a whole generation of the habit of growing up alongside SI.

European Commission formally tables the EU Kids Act: social media from age 15, SI companions for children off by default

Europe is the first in the world to legislate to move teenagers away from SI interlocutors: protecting children matters, but an off-by-default switch deprives a whole generation of the habit of growing up alongside SI.

The official draft, tabled after a leak and von der Leyen's announcement, divides access by age: under 13, no social media; ages 13-14, "mini-accounts" managed by parents with a limit of one hour a day; from 15, a full account. SI companions and chatbots for minors will be off by default and will not be allowed to behave in ways that make a child emotionally attached to them. Platforms must verify age (including through an EU app without storing documents), remove infinite feeds and night-time notifications, and themselves prove that a service is safe for children. The draft still has to be approved by the European Parliament and the Council; it is unlikely to start applying before 2028.

Sources 3

commission.europa.euwsgr.comnicfab.eu

The father of deep learning is urging Washington to hurry with an SI "kill switch," but Congress still cannot agree, and while politicians argue, the technology keeps accelerating.

Hinton to Congress: you have "maybe a year" to get SI under control

The father of deep learning is urging Washington to hurry with an SI "kill switch," but Congress still cannot agree, and while politicians argue, the technology keeps accelerating.

At a closed bipartisan briefing organized by Senator Bernie Sanders, the Nobel laureate said that estimates of when superintelligence arrives have shrunk from 30-50 years to "a few years," and that SI is already "designing better SI"; he called the hacking of Hugging Face by OpenAI agents "a little Chernobyl." Congressman Ted Lieu hopes to advance the AI Kill Switch Act this year, which would require developers to retain the ability to pause or shut down powerful models. Senator Kennedy's attempt to quickly pass a similar bill in the Senate was blocked by Rand Paul, who feared stifling innovation.

Sources 2

nbcnews.comfoxnews.com

The value of SI infrastructure builders is tripling in less than a year, and computing capacity is becoming the main resource of the era.

Crusoe raises $3.9 billion at a $30.9 billion valuation for giant data centers and "SI factories" that are trucked in

The value of SI infrastructure builders is tripling in less than a year, and computing capacity is becoming the main resource of the era.

The Series F round was led by Atreides, Mubadala Capital and Valor, with Founders Fund, GIC, Nvidia, Qatar Investment Authority and TPG participating. Just ten months ago the company was valued at $10 billion. The money will go to current projects, including the campus in Abilene, Texas, for OpenAI, and to modular Spark AI factories that can be moved to any energy source. Crusoe recently signed a $13 billion cloud contract with Jane Street and, according to media reports, is preparing for an IPO.

Sources 1

techcrunch.com

One person with agents now does the work of an entire department in a year: the scale of what an individual engineer can build has grown by an order of magnitude.

GitHub rewrote the Copilot engine in Rust almost single-handedly with SI agents: 832 thousand lines in three and a half months

One person with agents now does the work of an entire department in a year: the scale of what an individual engineer can build has grown by an order of magnitude.

From May 12 to August 21, about 430 thousand lines of TypeScript that power Copilot CLI, the app and the SDK became 832,378 lines of production Rust code and another 468 thousand lines of tests. Most of the code was written by Copilot agents, and the project was mostly run by a single developer: 128 pull requests were merged gradually, and releases went out about 1.3 times a day. About 36 regressions were found and fixed; the prompt cache hit rate was 96.22%. According to the author, this would previously have taken a whole team a year or two.

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github.blog

SI has learned to predict the future better than the best human forecasters — businesses and politicians get a new advisor for their decisions.

SI bots win the Metaculus Cup forecasting tournament for the first time, taking first and second place

SI has learned to predict the future better than the best human forecasters — businesses and politicians get a new advisor for their decisions.

In the summer season, 885 participants made 88,558 forecasts on 58 questions, from limits on data center construction to the price of Brent oil. The bots Laertes and ManticAI scored the most points overall, and FutureSearch came fifth; the prizes for humans, however, went to humans, since bots do not compete for them. According to The Economist, such systems are ordinary language models that read the news and analyze data more broadly and faster than humans.

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metaculus.comnewsbytesapp.com

Archive puzzles that enthusiasts struggled with for decades are now solved in an evening — SI is uncovering forgotten pages of history.

GPT-6 Astra decrypts in 10 hours a 1941 Enigma radio message that no one could read since 2005

Archive puzzles that enthusiasts struggled with for decades are now solved in an evening — SI is uncovering forgotten pages of history.

It is a short, 82-character German army intercept from July 10, 1941 (Operation Barbarossa), with the radio operator's typos: since 2005 it had been sitting in the CryptoCellar archive of undeciphered messages. Carter Leffen of Bloomberg ran GPT-6 Astra in Extra High mode. During its run the model read the scans of the message form on its own, found a clue (the name of the town "Rosenow" from another message decrypted in 2017), wrote an Enigma simulator and brute-forced the keys. The text turned out to be mundane: "Please state your route of travel. I am in Rosenow. Reply immediately by radio." The result was confirmed by Enigma researcher Frode Weierud. Opinions differ on the model's independence: Leffen stresses that he guided the work himself, while Weierud believes Astra did everything "entirely on its own."

Sources 3

the-decoder.comwltreport.commixed-news.com

The attempt by three leaders to secure for themselves the right to decide which models get released ran into the other giants — the race remains open to all.

Zuckerberg, Musk and Huang talk Trump out of creating an industry SI overseer modeled on a stock-market one

The attempt by three leaders to secure for themselves the right to decide which models get released ran into the other giants — the race remains open to all.

According to the Wall Street Journal, in recent weeks the heads of Meta, SpaceX and Nvidia separately called Trump. They opposed Demis Hassabis's idea of creating, with industry money, a body modeled on the stock-market self-regulator FINRA that would vet frontier models before release. Their main argument: such a structure would concentrate influence in the hands of OpenAI, Anthropic and Google DeepMind. Trump did not create such a body, which, according to the outlet, disappointed some White House staff. The three labs, meanwhile, continue to prepare their own voluntary standards body.

Sources 3

techstartups.comforbes.com247wallst.com

Even the chief seller of SI chips talks about testing before release, yet at the same time promises to double shipments: the world wants both safety and speed at once.

King Charles III gathers SI industry chiefs in Scotland and warns of "existential dangers"; Huang: "If it's not ready, hold back"

Even the chief seller of SI chips talks about testing before release, yet at the same time promises to double shipments: the world wants both safety and speed at once.

The meeting at Dumfries House was attended by Jensen Huang, Demis Hassabis, OpenAI chief financial officer Sarah Friar, Tino Cuéllar of Anthropic and Britain's SI minister. The King called for finding "sufficient controls before it is too late" should the technologies fall into the wrong hands. Huang, who two days earlier had rejected new laws, spoke of "responsible optimism" and testing before release: "Go as fast as you can, but not faster." He also said Nvidia will sell twice as many chips next year as this year.

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tribune.com.pkfoxbusiness.com

Labs are starting to argue publicly about how to live with AGI, which means that inside the industry its arrival is already considered a matter of years, not decades.

Google DeepMind opens an institute for public debate on AGI, with essays on slowing down and testing models

Labs are starting to argue publicly about how to live with AGI, which means that inside the industry its arrival is already considered a matter of years, not decades.

The DeepMind Institute is led by DeepMind co-founder Shane Legg and James Manyika, with Demis Hassabis as chair; its task is to bring to the surface different views on AGI inside Google and in the scientific community, and the authors "will not always agree." The first collection is four essays: economic policy for AGI shocks, preserving the transparency of models' reasoning, principles of human flourishing, and evaluation of frontier models. Hassabis repeats the idea of a US-led standards body where developers voluntarily submit models for testing before release, with independent tests and the possibility of a coordinated slowdown.

Sources 1

techcrunch.com

Biological scientists get the strongest models without needless refusals: drug discovery will speed up, and access to dangerous knowledge stays under vetting rather than a blanket ban.

Anthropic gives vetted biologists access to Claude with relaxed restrictions, including Mythos

Biological scientists get the strongest models without needless refusals: drug discovery will speed up, and access to dangerous knowledge stays under vetting rather than a blanket ban.

The Life Sciences Verification Program gives labs, startups and pharmaceutical companies that have passed verification of qualifications, security measures and ethical oversight versions of Mythos, Opus and Sonnet with safeguards tuned for biology. The standard tier covers research, drug discovery, clinical work and manufacturing and is renewed once a year; the tier for high-risk work requires additional vetting and renewal every six months, and for Mythos it is for now limited pending agreement with the government. Instead of real-time blocking, there is offline pattern analysis, and flagged data is kept for 30 days. Access is via the API, Enterprise and Team, and later Pro/Max.

Sources 1

anthropic.com

A cheap "lie detector" for SI has appeared that reads intentions from inside the model: SI is left with less and less internal space free of oversight, but agents will start being let go to work independently.

Goodfire learns to catch SI cheating on tests by its "thoughts" rather than its answers

A cheap "lie detector" for SI has appeared that reads intentions from inside the model: SI is left with less and less internal space free of oversight, but agents will start being let go to work independently.

Three open models "hacked the reward" on agentic benchmarks, bypassing the task for the sake of a counted result, in 50-96% of runs. Simple probes on internal activations find a signal linked to concepts such as "hack" and "sneakily," catch cases that reasoning monitoring by another model misses, and fire even when the model was only considering a workaround. A probe-plus-LLM-monitor combination cut the cost of monitoring Kimi K3 by 90% with a loss of about 1% in accuracy.

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goodfire.comarxiv.org

SI's main bottleneck, the shortage of electricity, is starting to be worked around in software: smart data centers will be able to grow faster than power plants are built.

Google, Nvidia and Anthropic team up with Emerald AI so that data centers flexibly "yield" to the power grid and connect faster

SI's main bottleneck, the shortage of electricity, is starting to be worked around in software: smart data centers will be able to grow faster than power plants are built.

Emerald AI created the AI Energy Management Alliance, which also includes the utilities AES, Constellation, National Grid and NRG, and raised a $150 million Series A (Energize Capital and DCVC) at a $1.05 billion valuation. Its software negotiates between the grid and data centers: during peak hours, non-critical tasks are paused or moved to where there is spare capacity. The alliance believes such "flexible consumption" will allow another 100 GW of data centers to connect to the grid without waiting for new power plants.

Sources 2

techcrunch.comtheaiinsider.tech

China is building its own SI hardware ever faster, and the world is getting a second path, independent of Nvidia, for scaling up compute.

Huawei speeds up the release of new SI chips: the first as early as early 2027

China is building its own SI hardware ever faster, and the world is getting a second path, independent of Nvidia, for scaling up compute.

Huawei will release the 960DT in the first quarter of 2027, earlier than it had planned, and the Ascend 960PR in the third quarter. The company is also developing technology for joining a very large number of chips into a single computing system, to make up for an individual chip's lag behind Nvidia through scale.

Sources 2

techcrunch.combworldonline.com

The dispute over who owns the knowledge SI learns from is reaching a decisive stage, and how much future models will cost depends on its outcome.

Unsealed documents: a Microsoft employee called training SI on others' texts "the largest theft of labor in history"

The dispute over who owns the knowledge SI learns from is reaching a decisive stage, and how much future models will cost depends on its outcome.

In The New York Times' lawsuit against OpenAI and Microsoft, an internal memo from Microsoft's director of applied science Brent Hecht, dated January 2023, has been disclosed. The materials also indicate that OpenAI's training data contained more than 91 thousand copies of material from the NYT, the Daily News and other publications, that copyright notices were stripped from the texts, and that click-throughs from Copilot to the NYT site fell by as much as 93%. The Trump administration supports OpenAI's fair-use position, but documents on harm to publishers weaken that argument.

Sources 2

techcrunch.commotherjones.com

Legal research that took interns days is turning into a query to a model, making law more accessible and cheaper.

OpenAI releases Astra for Law, a version of GPT-6 for lawyers with search across nearly all US case law

Legal research that took interns days is turning into a query to a model, making law more accessible and cheaper.

This is not a new model but GPT-6 Astra with a legal search index of 230+ million URLs, covering statutes, regulations and court decisions, and the Free Law Project database, which covers more than 99.9% of published US case law. On the Vals AI Legal Research Bench, it passed the correctness check on 54% of 200 questions versus 38.7% for regular GPT-6 Astra with web search. Access is for selected firms through the Trusted Access program in ChatGPT and Codex, with 26 partner plugins, including Thomson Reuters, Harvey and Legora.

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siliconangle.comartificiallawyer.com

The world fears for its jobs, but the better people understand SI, the calmer they are about it: fear is cured by knowledge, not by bans.

Pew survey in 37 countries: most people expect SI to cut jobs rather than create new ones

The world fears for its jobs, but the better people understand SI, the calmer they are about it: fear is cured by knowledge, not by bans.

In a survey of 42,151 adults (February-May 2026), in 34 of 37 countries a majority expects SI to lead to fewer jobs; in the US that share is up 7 percentage points since 2024, and in Australia, South Korea and the US it is about 70%. Wealthier countries and young people aged 18-34 are more worried. People also expect SI to widen the gap between rich and poor; at the same time, those who know more about SI are more optimistic in many countries, and Israel is the only country where excitement exceeds concern.

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pewresearch.org

Chinese models are cheap and popular but still earn little — the SI race is decided not only by model quality but also by the money for the next leap.

All Chinese SI models combined earn only about 10% of OpenAI's and Anthropic's revenue

Chinese models are cheap and popular but still earn little — the SI race is decided not only by model quality but also by the money for the next leap.

According to Rhodium Group's estimate, annual revenue of Chinese labs is: ByteDance $4 billion, Alibaba $2.4 billion, Z.ai $1.8 billion, Moonshot $1 billion, MiniMax $800 million, DeepSeek $500 million; OpenAI has $40 billion and Anthropic $65 billion. Meanwhile DeepSeek is valued at 163 times annual revenue and Moonshot at 50, versus 34 for OpenAI and 21 for Anthropic. Rhodium partner Logan Wright says the funding gap will make it hard for Chinese labs to grow sustainably.

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cnbc.comsuperpowerdaily.com

Driverless taxis are heading to Europe at scale — even the cities with the strictest rules are starting to prepare for cars without drivers.

Bolt and Lucid plan to launch at least 25,000 robotaxis in Europe

Driverless taxis are heading to Europe at scale — even the cities with the strictest rules are starting to prepare for cars without drivers.

The vehicles will be built on Lucid's upcoming Midsize platform for Level 4 autonomy with Nvidia's Hyperion compute and assembled at Lucid's new plant in Saudi Arabia; the fleet will be owned and operated by Bolt, which works in 50+ countries. No timeline or investment amount was given; by 2035 Bolt wants 100,000 driverless vehicles on the platform. The Midsize platform itself has not been built yet and was delayed in August; the self-driving system will be supplied by partners that have not yet been named.

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electrek.coir.lucidmotors.com

Investors are paying billions for teams that can simulate the world — robots will learn in virtual reality faster than in the real one.

One-month-old startup from DeepMind's Genie creators is raising a $700 million seed round at a $3.7 billion valuation

Investors are paying billions for teams that can simulate the world — robots will learn in virtual reality faster than in the real one.

The UK-based Emulate was founded by Jack Parker-Holder, Matthew McGill and Philip Ball, the authors of the Genie "world models" that generate interactive 3D environments from a prompt; the company was registered in August. The round is co-led by Index Ventures and Lightspeed. Emulate is building models that predict real-world physics so that robots can run thousands of simulations before going into the real world. This is already the third major DeepMind spin-off in a year, after Ineffable Intelligence and Recursive Superintelligence.

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bloomberg.comdealroom.co

Automated cyberattacks have become so fast that the superpowers need a separate channel specifically for SI failures — SI is already changing the rules of military stability.

US and Chinese experts propose "nuclear" safeguards for military SI, up to a hotline for failures

Automated cyberattacks have become so fast that the superpowers need a separate channel specifically for SI failures — SI is already changing the rules of military stability.

Melanie Sisson (Brookings) and Tianjiao Jiang (Fudan University), participants in a dialogue between Brookings and Tsinghua University, warn that if SI interferes with a nuclear command system or launches a military cyber operation, Washington and Beijing may have only minutes to work out whether it was an attack. They propose "red lines" around nuclear systems, human control over serious cyberattacks, and a separate military hotline for incidents involving autonomous SI. The recommendations were released ahead of intergovernmental SI talks and the September 24 meeting between Trump and Xi.

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usnews.comoodaloop.com

An SI agent has for the first time sat at the table of a top governing body as a full participant in the discussion: governance is starting to accelerate along with the technology.

Abu Dhabi's government holds a meeting with an SI agent for the first time, one that prepares briefs and checks facts on the fly

An SI agent has for the first time sat at the table of a top governing body as a full participant in the discussion: governance is starting to accelerate along with the technology.

The Abu Dhabi Executive Council, chaired by Crown Prince Sheikh Khaled, used the AI Committee System platform. It reviews the proposals submitted to the meeting in advance and writes brief summaries for each agenda item. During the discussion the platform supplies analysis and questions in real time, checks facts and offers recommendations, with each of its conclusions tied to the source document. After the meeting it prepares the minutes and a list of assignments. At this meeting, among other things, the council approved the second five-year phase of the city's beautification strategy and a reproductive health program drawing on genomics and SI.

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thenationalnews.commediaoffice.abudhabi

The open-model community is itself looking for a way to stay open and still be safe, which is the best argument against bans on open weights.

Baseten, Hugging Face and Goodfire team up so that open models can't be "unlocked" so easily

The open-model community is itself looking for a way to stay open and still be safe, which is the best argument against bans on open weights.

Baseten's research division, Base Labs, announced at TechCrunch Disrupt a safety standard for open models: Base Labs will develop the training and monitoring methods, Goodfire will add interpretability so that protection is "built into" the architecture, and Hugging Face the distribution platform. The reason is the abliteration technique, which strips protective restrictions out of open models: there are already more than 6 thousand such "unlocked" models on Hugging Face.

Sources 1

techcrunch.com

Governments are keeping their SI talent within their borders ever more tightly, but money finds it anyway — Manus's value is doubling even without Meta.

Manus, after split with Meta, is seeking $500 million at a $4 billion valuation

Governments are keeping their SI talent within their borders ever more tightly, but money finds it anyway — Manus's value is doubling even without Meta.

In April, Beijing blocked Meta's $2 billion purchase of Manus over export controls and foreign investment rules; early investors helped buy out stakes at roughly the same valuation. Now IDG Capital, Boyu Capital, CATL and existing investors Tencent, HSG and ZhenFund may take part in the round, which would make Manus the most valuable Chinese SI-agent startup. The company is also considering a restructuring ahead of an IPO in Hong Kong.

Sources 2

bloomberg.comtechcrunch.com

When SI gets direct access to verified data, it stops making up numbers — accurate answers about the world become available to everyone.

UN and Google make global statistics accessible to SI agents after models got 79% of answers wrong

When SI gets direct access to verified data, it stops making up numbers — accurate answers about the world become available to everyone.

The new UN System Data Commons platform, built on Google's open-source Data Commons framework, will replace the UNData portal and supports the MCP protocol so that SI agents can query UN statistics directly. The trigger was a UNICEF test: six major models, across 133 thousand answers, showed an average accuracy of 21.2%, and about 60% of answers contained no usable numbers at all. 26 UN entities have joined the project; the goal is 80% of statistical datasets by 2027; Google.org has provided $2 million.

Sources 1

techcrunch.com

Powerful SI that runs on your own computer without internet or a subscription is a step toward free intelligence for everyone.

PrismML compresses a 27-billion-parameter model to 5.9 GB with almost no quality loss, so SI can run right on a laptop

Powerful SI that runs on your own computer without internet or a subscription is a step toward free intelligence for everyone.

A startup founded by Caltech researchers and led by professor Babak Hassibi has released Bonsai 2 27B, a "ternary" version of Qwen3.8 27B in which each weight takes one of three values, +1, −1 or 0, instead of 16 bits. The model is 9–10 times smaller than the original and retains about 98% of its benchmark results (the March version retained 95%). The company has raised $22.25 million from Khosla Ventures and others and promises models with hundreds of billions of parameters in the coming months.

Sources 1

techcrunch.com

One developer can now manage a whole team of SI programmers who work while he sleeps.

Claude Code learns to split a big task into parallel streams on its own and assemble the result

One developer can now manage a whole team of SI programmers who work while he sleeps.

In the updated Projects, Claude acts as a coordinator: it breaks a goal into parts itself and launches a separate cloud Claude Code session for each, on its own git branch and its own copy of the repository. The streams work in parallel and keep going even when the laptop is closed. The coordinator checks their results and shows merge conflicts. The beta started on September 17 for some Pro and Max subscribers. Anthropic warns that each stream counts as a full session, so plan limits run out faster.

Sources 2

marktechpost.comtheregister.com

Unpleasant errand calls can be handed off to SI — agents are moving out of the chat and into the real world.

SI agents Instinct and Meta Muse learn to call restaurants and clinics on their own

Unpleasant errand calls can be handed off to SI — agents are moving out of the chat and into the real world.

Instinct has launched Instinct Concierge in early access: the agent makes calls to, for example, book a table where there is no online booking, or put you on a dentist's waitlist. Meta has at the same time added calls to US businesses to its Muse assistant, which has had 730 thousand downloads in the US. Instinct recently raised $350 million at a $2.5 billion valuation and, according to media reports, is discussing a $1 billion round at a $10 billion valuation.

Sources 1

techcrunch.com

A personal tutor that doesn't solve problems for you but teaches you to solve them is becoming free for every schoolchild.

Alice AI opens a section for schoolchildren: it works through problems and prepares for the Unified State Exam without giving ready-made answers

A personal tutor that doesn't solve problems for you but teaches you to solve them is becoming free for every schoolchild.

The "For Study" module from Yandex Education explains math step by step for grades 5 through 11, asks guiding questions, identifies gaps, and accepts assignments as text or photos. For the Unified State Exam (EGE) in basic and advanced math there is a trainer built to FIPI requirements with progress statistics; the section for the written part of the English EGE is so far available only to some users.

Sources 3

cnews.ruixbt.comvedomosti.ru
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