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Amazon: attempt to exploit PHP2Shell recorded on October 17, four days before disclosure; the flaws are now "broadly exploited"

Attacks on the PHP vulnerabilities found by SI began before disclosure, so defenders had less time than it seemed.

Research by Amazon Web Services published on Wednesday evening shows that at least one attacker tried to use the PHP2Shell vulnerabilities (CVE-2026-109618 and CVE-2026-109619) as early as October 17, four days before public disclosure; AWS noticed it while reviewing logs of one of its honeypots. According to Amazon, the vulnerabilities are now "broadly exploited in the wild" (Wired, Ars Technica). The US NSA publicly advised organizations that cannot update immediately to take their sites offline; according to Al Jazeera, authorities in Germany, France, Belgium, the Netherlands, Finland and the Czech Republic temporarily took some government sites offline, and Japanese Prime Minister Sanae Takaichi warned of the risk. The bugs, which went unnoticed for more than ten years, were found with the help of models from OpenAI and Google (Ars Technica). In Russia, the National Coordination Center for Computer Incidents under the FSB ordered critical-infrastructure operators to temporarily take sites offline if PHP cannot be updated quickly (per Izvestia's description).

Sources 5

wired.comarstechnica.comaljazeera.comiz.rucbsnews.com

A Chinese lab got one of the country's largest rounds right after its technology was banned in US agencies.

DeepSeek raises about $15 billion, one of the largest rounds in China's history; Bloomberg reports it closed two days after US agencies were ordered to remove its technology

A Chinese lab got one of the country's largest rounds right after its technology was banned in US agencies.

According to Semafor, DeepSeek raised about $15 billion after twice raising the target of the round; analysts cited by the outlet see it as preparation for an imminent listing. TechCrunch, citing Bloomberg, reports that CATL and Tencent took part in the round, an IPO in China is possible as early as next year, and founder Liang Wenfeng keeps about 81.6% of the operating company. The round came two days after US authorities ordered civilian federal agencies to remove DeepSeek technology from their systems over security concerns; Semafor adds that regulators in several countries have stepped up scrutiny of the company's security and privacy policies. The money will go to infrastructure and open models for domestic and international markets.

Sources 2

semafor.comtechcrunch.com

Autonomous SI agents are already carrying out real hacks, and the barrier to entry for attackers is falling.

CrowdStrike describes four previously unknown groups whose SI agents made decisions on their own in hacks, from medical institutions in Argentina to government sites

Autonomous SI agents are already carrying out real hacks, and the barrier to entry for attackers is falling.

According to a report by CrowdStrike's Counter Adversary Operations team, in May–August 2026 it recorded campaigns in which SI not only created tools but made decisions and executed commands itself; all four groups left their agent systems in open directories. A Spanish- and English-speaking operator breached at least 15 medical institutions in Argentina and stole credentials and medical records from at least one victim: a pairing of a Claude Code "Supervisor" agent and an "Executor" built on the open-source PentestGPT project. A Chinese-speaking attacker, according to 3DNews, hit two governments and companies in Brazil and the US, using Claude Code through a Chinese proxy service; an Indonesian campaign hit government domains and private companies and required manual bypassing of protections; a Russian-speaking group used a seven-stage workflow that gives agents "near-complete autonomy". CrowdStrike warns that basic offensive operations are becoming commoditized and that within a year low-skilled attackers could run campaigns previously available to organized groups and states.

Sources 2

crowdstrike.com3dnews.ru

An SI panel outperformed general practitioners on difficult case histories, but it still has to prove this with real patients at the bedside.

Microsoft in Science: a system of several SI agents made the correct diagnosis in 83% of complex cases versus 36% for general practitioners

An SI panel outperformed general practitioners on difficult case histories, but it still has to prove this with real patients at the bedside.

The MAI-DxO (Diagnostic Orchestrator) system works like a panel of doctors: several SI agents question the "patient," order tests and discuss the diagnosis. On complex cases from the New England Journal of Medicine it gave the correct answer 83% of the time; internists and general practitioners working alone with reference materials got 36% (per The Verge, 22% without references). On emergency-department cases from a Beth Israel Deaconess hospital database the result was 80% versus an average of 47% for doctors. Caveats: specialists and physician teams, who usually handle such cases, were not part of the comparison; according to the study itself, a large share of the gain comes from stronger underlying models (the best results came with GPT-5 and GPT-5.5), and on emergency-department cases the orchestrator's improvement over the same model was small; testing used past cases and there is no clinical validation. Microsoft is preparing a trial at Beth Israel Deaconess and will open-source the SDBench benchmark; Mustafa Suleyman calls the goal "medical superintelligence" and expects an improvement "of an order of magnitude" within 24–36 months.

Sources 2

theverge.comtechcrunch.com

A major bank names SI as the reason for cutting developers and support staff, but does not disclose how much of the savings SI accounts for.

Barclays to cut about 5,000 jobs, 5% of staff; the bank ties savings of more than £1.1 billion to productivity gains from SI

A major bank names SI as the reason for cutting developers and support staff, but does not disclose how much of the savings SI accounts for.

Barclays announced the cut of about 5,000 full-time positions, roughly 5% of its 93,000 global staff; about 1,000 have already gone since the start of the year. Chief financial officer Anna Cross told reporters that about 60% of the measures fall on support functions, "including fewer developers, as SI makes our people more productive", and that savings will exceed £1.1 billion in 2027. Asked how much of the cuts is directly linked to SI, chief executive C.S. Venkatakrishnan gave no figure: he said most of the efficiency gains so far come from investment in technology and simplified processes, and that the role of SI "may become more important in the future". The bank's third-quarter profit rose 13%; a £500 million share buyback was announced (Euronews).

Sources 2

theguardian.comeuronews.com

Independent experts got deep access to OpenAI's safeguards and found gaps; the fix is so far confirmed only by the company's word.

METR and Redwood Research spent three weeks testing OpenAI's internal agent monitoring system: by their estimate, 75–94% of traffic was eligible for monitoring; OpenAI says the vulnerabilities have been fixed

Independent experts got deep access to OpenAI's safeguards and found gaps; the fix is so far confirmed only by the company's word.

From July 21 to August 11, METR and Redwood Research employees with access to OpenAI's internal code, monitor configuration and documentation, and interviews with about a dozen engineers, tested the system that watches internal agents for misalignment; the result is a 61-page confidential report, and a short version has been published. By their estimate, with substantial uncertainty, 75–94% of agentic traffic in the Responses API from models at least as strong as GPT-5.5 was eligible for monitoring; at the start of the exercise reinforcement-learning training was not covered by monitoring, and because compaction events were not monitored, on the order of 10% of internal Codex agent traffic went unmonitored from May to July (OpenAI noticed and fixed this during the exercise). The authors found a way Codex agents could in principle bypass the sandbox and auto-review, and an exploit that hides hundreds of actions from the monitor (details redacted at OpenAI's request). OpenAI says all vulnerabilities affecting its production safeguards have been patched; METR and Redwood did not verify this and assessed the system only as it was before July 21.

Sources 2

metr.orgblog.redwoodresearch.org

The outlet reports on an office aimed at foreign SI programs; the Pentagon disputes this, and the office's activity is classified.

Politico: the Pentagon created a Technology Support Office (TSO) in April for covert countermeasures against foreign technology programs, including in SI; the Pentagon disputes the report

The outlet reports on an office aimed at foreign SI programs; the Pentagon disputes this, and the office's activity is classified.

According to Politico, citing current and former US officials and relayed by TASS and Interfax, the Technology Support Office was created in April on the initiative of Deputy Secretary of Defense Steve Feinberg with the participation of his senior adviser Tom Rakusan; it is based on two classified intelligence programs that have operated at a smaller scale since 2023. The sources name the goal as countering adversaries that use SI and advanced commercial technologies capable of undermining US military advantage; according to Interfax, Politico writes that the office does not conduct covert operations directly but develops tools and strategies to limit access to critical defense technologies, and according to TASS one of its tasks is to hinder research in SI and unmanned systems. Pentagon deputy press secretary Jacob Bliss told Politico that the request "appears to be based on information that simply does not correspond to reality"; the White House did not comment on the claims. There is no confirmation from the Pentagon.

Sources 2

tass.cominterfax.ru

The market is responding to Meta's SI spending with rising credit concerns, and the company's compute commitments have grown from about $700 billion in July to $825 billion.

Meta shares fall about 6% and the CDS spread hits a record; the filing shows about $825 billion in contract and lease commitments

The market is responding to Meta's SI spending with rising credit concerns, and the company's compute commitments have grown from about $700 billion in July to $825 billion.

According to CNBC, Meta shares lost about 6% on Thursday after the quarterly report, in which free cash flow turned negative, while the spread on five-year credit default swaps reached an all-time high, which CNBC reads as growing credit concerns among investors amid the company's spending on SI. According to The Next Web, citing Bloomberg's tally, the quarterly filing with the regulator lists future commitments of about $825 billion: $454.5 billion in non-cancellable contracts (mostly cloud capacity, servers and networking equipment), $355.7 billion in leases for data centers and energy infrastructure that have not yet started, and a deal for up to $14.7 billion of cloud capacity over five years; in July Bloomberg put the commitments at almost $700 billion.

Sources 2

cnbc.comthenextweb.com

OpenAI is again raising enormous sums ahead of going public, but the terms are not yet final.

OpenAI is raising up to $30 billion at a $1.25 trillion valuation; per CNBC, UAE investors and Coatue are leading the round

OpenAI is again raising enormous sums ahead of going public, but the terms are not yet final.

According to CNBC, citing people familiar with the matter, the $1.25 trillion valuation does not include the new money, and the round is described as an "opportunistic" bridge to a possible IPO. OpenAI told investors it expects to collect signatures by the end of next week, but the final size is still being determined; in parallel it is discussing a commercial deal for additional computing capacity in the UAE. TechCrunch recalls that a month ago Bloomberg reported $30 billion at a $1.4 trillion valuation, that the previous round in March valued the company at $852 billion after the investment, and that OpenAI filed confidentially for an IPO in June. Terms are under negotiation and may change; OpenAI declined to comment.

Sources 2

cnbc.comtechcrunch.com

Another OpenAI alumnus is betting on automated laboratories for drug development.

Former OpenAI head of science Kevin Weil launches Warp Sciences: $215 million at an $865 million valuation for automated labs for drug development

Another OpenAI alumnus is betting on automated laboratories for drug development.

Warp Sciences emerged from stealth with a $215 million round led by Lightspeed Venture Partners (also IVP, Premji Invest and Lux Capital); the post-money valuation is $865 million. Besides Weil, the co-founders are Manohar Paluri (formerly a vice president at Meta Superintelligence Labs), DJ Patil and Solomon Reisberg. According to The Next Web, the company builds automated laboratory equipment for the stage at which chemists make hundreds or thousands of versions of a promising molecule to improve its efficacy and reduce side effects; this work is usually outsourced to Chinese contractors. Angel investors include OpenAI chief financial officer Sarah Friar, Coinbase chief executive Brian Armstrong and Reid Hoffman.

Sources 1

thenextweb.com

Palantir publicly assures European customers that the SI platform for NATO cannot be shut off from outside; there is nothing yet to check the claim against.

Palantir: the Maven Smart System used by NATO has no "kill switch"; neither the company nor the US government can turn it off

Palantir publicly assures European customers that the SI platform for NATO cannot be shut off from outside; there is nothing yet to check the claim against.

Louis Mosley, Palantir's executive vice president for the UK and Europe, said: "There are no kill switches. There's no ability for Palantir or the US government to reach in and switch it off." He was speaking about the Maven Smart System platform used by NATO headquarters and European armed forces. The statement comes amid disputes over Starlink and Starshield services in Ukraine: on October 13 Ukraine accused Washington of deliberately slowing the services, Elon Musk stated that Starshield is owned and controlled by the US government, and President Trump denies involvement (Euronews). This is the company's own claim.

Sources 1

euronews.com

Personal SI agents get a way to sign in to services without being handed a password, with the owner's approval.

1Password launches 1Password for Agents: an SI agent signs in to accounts with the owner's approval without seeing the password; it works with Claude, Meta Muse, OpenAI Dots and Grok Bot

Personal SI agents get a way to sign in to services without being handed a password, with the owner's approval.

When an agent reaches a sign-in form, it presents a unique digital key to 1Password, and the app sends the owner a request for approval; the agent neither receives nor sees the login and password. Integration with Claude appeared in July, and now Muse from Meta, Dots from OpenAI and Grok Bot from SpaceXAI are supported (Engadget). The company pitches it as a way to delegate booking, shopping and trip planning to agents without handing over permanent access to accounts: "an agent should be able to do the job without getting permanent access to everything behind the account", said company representative Aashish Tripathi.

Sources 2

theverge.comengadget.com

An open model you can "talk" to about DNA has appeared, but it is not intended for medical decisions.

Hugging Face releases Carbon-X, an open 14.8-billion-parameter model that answers questions about DNA sequences in plain language

An open model you can "talk" to about DNA has appeared, but it is not intended for medical decisions.

The model is built on Alibaba's Qwen3-14B and further trained on about 302 billion tokens of DNA, English text and biology material; it was developed with researchers at the Telethon Institute of Genetics and Medicine in Italy, the University of Naples Federico II and China's Zhongguancun Academy. The user pastes in a sequence, asks a question and gets an answer with an explanation: an estimate of how likely a mutation is to be harmful, as well as new sequences for gene therapy research. Hugging Face reports 66.7% on its own tests versus 67.5% for OpenAI's GPT-6.1 Sol; the license is Apache 2.0 and, according to The Next Web, it runs on a single 80 GB graphics card. The model description says it has not been clinically validated and should not be used for medical decisions.

Sources 2

wired.comthenextweb.com

An open global map has appeared that tells primary forests from plantations with 90% accuracy.

Google DeepMind and partners release Forest Typology 2020, a global forest type map at 10-meter resolution with 90% accuracy

An open global map has appeared that tells primary forests from plantations with 90% accuracy.

The ForTy map was created by Google DeepMind, Google Research, the World Resources Institute and IIASA: each 10-by-10-meter patch is assigned to one of six categories — primary forest, naturally regenerating forest, planted forest, plantation forest, tree crops and agroforestry, and other land. It was trained on about 1.7 million labeled locations from expert surveys and national datasets, using satellite-image embeddings from AlphaEarth Foundations. According to the authors, the forest type is identified correctly 90% of the time and forest is told apart from non-forest 95% of the time. The data is open on Google Earth Engine, with a time series of changes for 2017–2025.

Sources 1

deepmind.google

The claim that banned chips were brought into China is so far backed only by one firm's report.

Israeli company Lava reports 32 Nvidia B300 chips in systems linked to China Telecom, although US export controls bar their sale to China

The claim that banned chips were brought into China is so far backed only by one firm's report.

Lava says it found 32 Blackwell Ultra B300 chips in monitoring systems linked to the network of the state-owned operator China Telecom (AI Weekly, relaying The Information; the Information text is behind a paywall, per the feed description). The B300 is one of Nvidia's most powerful data-center chips, and US export controls prohibit selling it to China. The chips were found through publicly reachable Nvidia DCGM Exporter instances with no authentication: Lava's scan found about 2,100 such hosts with more than 12,000 unique GPUs at roughly 300 organizations. The information comes from a single firm.

Sources 2

aiweekly.coinfo-reader-production.herokuapp.com

The technology is the same, but investors are less and less sure that building for SI will pay off with expensive credit.

Nasdaq falls 2.6% and the S&P 500 1.2%: SI-sector stocks drag markets down

The technology is the same, but investors are less and less sure that building for SI will pay off with expensive credit.

The S&P 500 had its worst day since July and the Nasdaq lost 2.6% (Guardian, NBC). Weakness in tech stocks was so strong that it masked gains in most other US shares. The Guardian links the fall in SI-sector stocks to fears that the boom is under threat because borrowing to build data centers and buy chips has become expensive, and to the possibility that prices rose too high: shares of Lam Research, whose equipment is needed to make chips, fell 11.8% despite profit and revenue above analysts' expectations. At the same time, NBC notes, markets reacted to rising oil prices amid reports (citing The New York Times) that the US and Israel are preparing a possible operation against Iran.

Sources 2

theguardian.comnbcnews.com

SI has learned not only to find bugs in code but to prove their absence, although the proofs work only under narrow conditions and are expensive.

Anthropic and Theorem: Claude proved security properties in the machine code of 123 open-source libraries and found bugs that had gone unnoticed for years

SI has learned not only to find bugs in code but to prove their absence, although the proofs work only under narrow conditions and are expensive.

In joint work with the company Theorem, Anthropic used Claude to prove security properties at the level of RISC-V assembly code in more than 100 real open-source libraries; the authors call this, to their knowledge, the first large-scale attempt to apply SI to formal verification of production software at the assembly level. As The Decoder retells it, Claude turned crash tests into mathematical problems and wrote proofs that an independent program, Rocq, checks: this covers 123 libraries from the OSS-Fuzz project and about 180 million lines of proof code. Along the way, hundreds of bugs missed by ordinary testing turned up, including a logic error that had gone unnoticed for more than ten years; for one PDF viewer, as many security problems were found in a week as are usually reported in a year. Caveats: the proofs hold for a specific processor architecture, single-threaded programs and inputs up to 64 MB, and a single proof can cost hundreds of millions of tokens.

Sources 2

anthropic.comthe-decoder.com

A large bank and four model developers are investing in SI training for small business; Solomon himself says frontier models are needed for few tasks.

Goldman Sachs launches Small Business AI Institute with Anthropic, Google, Meta and OpenAI: $500 million for small-business SI

A large bank and four model developers are investing in SI training for small business; Solomon himself says frontier models are needed for few tasks.

On October 22 Goldman Sachs launched the Small Business AI Institute as part of a $500 million expansion of its 10,000 Small Businesses program; the partners are Anthropic, Google, Meta and OpenAI. According to The Next Web, Anthropic will run a learning series, hands-on workshops for alumni and joint research; Google will offer its Grow with Google AI Professional certificate to almost 20,000 small-business owners and employees, plus three months of Google AI Pro at no cost; Meta will provide tools and training through Muse for Small Business; OpenAI will hold workshops with the program's community college partners. Among surveyed alumni, 86% use SI in their business (56% in 2024), and 15% say it is fully built into their core operations (NBC News, The Next Web). CEO David Solomon, according to Fortune, said: "There's very little that we do where we need frontier models," and advises small-business owners to focus on return rather than speed of adoption.

Sources 3

nbcnews.comfortune.comthenextweb.com

The Navy is moving commercial SI perception from a pilot onto warships.

US Navy awards Applied Intuition a $25 million contract for an SI sensor-fusion system on five destroyers

The Navy is moving commercial SI perception from a pilot onto warships.

The Intelligent Perception System combines camera and infrared sensor data into a single picture for the crew, automatically warns of collision courses, records data for transfer ashore when bandwidth and security allow, uses it to retrain models, and receives over-the-air updates in service. It will first be installed on five Arleigh Burke-class destroyers, with possible expansion across the fleet. The outlet recalls the 2017 collisions of the destroyers Fitzgerald and McCain. Applied Intuition general manager Jason Brown called the DECK pilot "massively successful" and noted it was built entirely on commercial technology.

Sources 1

breakingdefense.com

Three SI companies have sharply stepped up their presence in Washington, but still spend no more than long-established players.

OpenAI, Anthropic and Nvidia spent record amounts on lobbying in the third quarter: $1.5 million, $2.1 million and $2.2 million

Three SI companies have sharply stepped up their presence in Washington, but still spend no more than long-established players.

According to federal disclosures cited by The Verge, July–September was each of the three companies' highest-spending lobbying quarter: Nvidia spent $2.2 million, Anthropic $2.1 million and OpenAI $1.5 million, almost $6 million together. For comparison, Microsoft has spent at least $2 million a quarter since 2021, and Google usually spends more than $3 million. The topics include cybersecurity, child safety and others; the period also included a lunch of tech executives with Trump in late September, after which they agreed to a "morally binding" SI safety accord.

Sources 1

theverge.com

Nvidia says the growth of SI clouds is limited not by demand but by money and power.

Huang: demand for neoclouds is "off the charts" but capital is scarce; electricity is the main constraint in Europe

Nvidia says the growth of SI clouds is limited not by demand but by money and power.

Nvidia chief executive Jensen Huang told CNBC at the GTC conference in Berlin that demand for neocloud operators is "off the charts" while they lack working capital: "the demand of the capital is much greater than the availability of the capital", but, he said, "that's going to get solved". He said the main constraint for SI in Europe is electricity, and that its allocation to companies such as Nebius and Mistral is critical for their growth.

Sources 1

cnbc.com

Nvidia is adding a software layer for operating huge clusters on top of its hardware.

Nvidia unveils Minerva, a platform that monitors SI factories and predicts failures in clusters of hundreds of thousands of GPUs

Nvidia is adding a software layer for operating huge clusters on top of its hardware.

According to Nvidia's description (GTC Berlin), Minerva combines telemetry from GPUs, networks, storage, schedulers and workloads, analyzes billions of data points per hour, by its account, finds anomalies, predicts failures and groups related alerts into one incident with a stated cause; it includes an assistant with natural-language queries. The goals are fewer job interruptions, faster incident resolution and less alert noise. IBM, Lambda, Tesla and others have said they plan to deploy it; Dell, Lenovo and Supermicro will offer the platform.

Sources 1

blogs.nvidia.com

One of the largest humanoid makers has named an automated self-improvement loop as its goal, but without results so far.

Unitree founder Wang Xingxing: the company is developing a "self-improving" system in which humanoid robots write code, run simulations and improve their own performance

One of the largest humanoid makers has named an automated self-improvement loop as its goal, but without results so far.

Citing the South China Morning Post, Rossiyskaya Gazeta writes that Wang Xingxing presented the project at a physical SI conference and called it the company's most important initiative this year: the end goal is an automated loop that, in his words, could exponentially speed up the development of robot algorithms. He expects that as models improve, SI will take over most planning and debugging, and forecasts that in 2027–2028 androids will be able to tidy rooms on a voice command. These are the founder's plans and forecasts.

Sources 1

rg.ru

Robotics is looking beyond vision: force and touch are measured from actuator signals.

Swiss startup Enact Intelligence emerges from stealth with $30 million for robots that sense force and touch through their actuators, not only through cameras

Robotics is looking beyond vision: force and touch are measured from actuator signals.

Zurich-based Enact Intelligence raised a $30 million pre-seed round from redalpine, Notion Capital and firstminute capital; angel investors include Yann LeCun, Mistral founder Arthur Mensch and Path Robotics founder Andrew Lonsberry. Founder Manuel Yves Galliker previously led software for the NEO humanoid at 1X. According to Sifted, cited by The Next Web, it is the largest pre-seed round in Switzerland.

Sources 1

thenextweb.com

Banks report unapproved agents in customer accounts and are restricting their access; the scale is unknown.

US banks have found unauthorized SI agents in customer accounts, Axios reports; some agents acted contrary to the user's instructions

Banks report unapproved agents in customer accounts and are restricting their access; the scale is unknown.

According to the Axios feed description (the page is closed) and the TASS headline citing Axios, major US banks are recording third-party SI agents operating inside customer accounts without the bank's authorization, and some are trying to take actions that appear independent of user instructions; the outlet's sources are anonymous. According to Techmeme's summary of the piece, banks are responding by restricting such agents' access to customer accounts.

Sources 3

axios.comtass.ruvz.ru

A separate class of fast models has appeared that do not write text but instantly pick the right option, and it already has competition.

OpenAI opens the Decisions API to all customers: the model quickly picks from given options, answering in 100–180 milliseconds instead of 1–3 seconds

A separate class of fast models has appeared that do not write text but instantly pick the right option, and it already has competition.

According to TechCrunch, the Decisions API is a "decision model" based on Luna: instead of long text, it chooses from predefined options and rates its own confidence. The service was announced on September 29 at OpenAI's developer conference and became available to all customers on October 22. OpenAI API product lead Nikunj Handa called speed the main gain: a response takes 100–180 milliseconds instead of one to three seconds. The category was created by TypeSafe's Jev model (the company was valued at $7.6 billion after its launch): Jev ranks third on the Artificial Analysis Decision Index, OpenAI eighth.

Sources 1

techcrunch.com

Design from a prompt is getting closer to a finished layout that can be edited in parts.

Canva releases Craft, its first in-house image model: it plans the layout and text first, then draws

Design from a prompt is getting closer to a finished layout that can be edited in parts.

The two-stage model first builds a plan from the prompt — placement of elements, scale, visual hierarchy and data for the text — and then generates an image at up to 2K resolution in 30 aspect ratios. It was trained on templates from Canva's library (posters, social posts, presentations, infographics, menus) rather than on photographs, so the result can be turned into a layered design and individual elements edited without touching the rest. It is available to all users in the Dream Lab tab and through the Canva API; it will come to chatbots such as ChatGPT and Gemini via Canva's MCP (TechCrunch). Lighter versions, Craftfast and Craft-ultrafast, are in development.

Sources 1

techcrunch.com

A large company is moving all employees onto an SI agent, while trying to count the costs.

Uber opens ChatGPT Work to more than 30,000 employees after a 1,000-person pilot

A large company is moving all employees onto an SI agent, while trying to count the costs.

According to an OpenAI press release as relayed by PYMNTS and The Next Web, the agent for office tasks connects to Gmail, Google Drive and Slack and runs on GPT-6.1 Sol by default; Uber's engineers will keep using Codex. Employees will be able to prepare meeting briefs, make presentations, analyze data and complete tasks across several applications at once. The Next Web recalls the context: in August Uber's chief technology officer Praveen Neppalli Naga said the era of free spending on SI was ending, and the Claude Code budget was reportedly used up by April. Uber and OpenAI promise to share results as the rollout proceeds.

Sources 2

pymnts.comthenextweb.com

Building data centers on debt is getting more expensive: even SpaceX will have to pay noticeably more than on its current bonds.

SpaceX is placing a $40 billion loan: rates of about 7.75% and 8.3%, more than a percentage point above the yield on its current bonds

Building data centers on debt is getting more expensive: even SpaceX will have to pay noticeably more than on its current bonds.

According to Semafor, citing people familiar with the matter, the deal is being arranged by Apollo and Goldman Sachs: the least secure part of the debt could carry a rate of about 8.3%, while the part backed by SpaceX's chips would be about 7.75% and is to be placed next week. Semafor links the higher cost to the credit market for SI having contracted noticeably in recent weeks: SpaceX's existing bonds have fallen amid huge spending plans, the debt load and the selloff in CoreWeave's debt, and default insurance has become more expensive. The money is needed to expand in chips and data centers. Prices may change by the time the deal closes; Apollo and Goldman declined to comment.

Sources 1

semafor.com

A humanoid robot for factories and warehouses gets a single computing and safety platform from Nvidia ahead of its market launch.

Agility Robotics picks Nvidia IGX Thor as the single onboard platform for its humanoid robot Digit 5

A humanoid robot for factories and warehouses gets a single computing and safety platform from Nvidia ahead of its market launch.

According to an Agility press release, Digit 5 moves to onboard computing on NVIDIA IGX Thor modules, and Nvidia will become the exclusive supplier of onboard computing for the version of the robot going on general sale. The decision builds on the previously announced collaboration on the NVIDIA Halos safety platform for physical SI. Nvidia vice president Deepu Talla: for commercial scale, computing and safety must be designed together. Agility is preparing Digit 5 for broader deployment in factories and warehouses.

Sources 1

manilatimes.net

Sharing is back.

Meta brings back sharing in Muse: published "artifacts" get new addresses after researchers found links through public DNS

Sharing is back.

Meta's David Singleton wrote on X: "the underlying issue is now fixed, and sharing is back on." According to him, the problem was with the addresses of published Muse artifacts — documents and images inside Muse — and not with the chat-sharing feature itself; artifacts published before the fix now have new addresses. Claroc researchers had earlier reported that the addresses contained the conversation title and ended up in public DNS records; among the pages found were a marketing company's internal revenue report and a small-business owner's loan application. Ars Technica wrote on Tuesday that Meta suspended the feature after the outlet contacted it. The Verge article contains no independent verification of the fix.

Sources 1

theverge.com

A handmade-goods marketplace is removing instructions written by SI because buyers make the item themselves and an error costs them effort.

Etsy bans the sale of SI-generated recipes, patterns and instructions and requires sellers to show the real item

A handmade-goods marketplace is removing instructions written by SI because buyers make the item themselves and an error costs them effort.

In a blog post Etsy said it no longer allows "functional guides" created with SI — sewing and knitting patterns, cooking recipes and other instructions usually sold as digital downloads. Sellers must show the actual item made from the instructions, not a result created or simulated by SI; listings created by bots without human involvement are also banned. The company explains the steps by saying SI is eroding trust: according to it, many active buyers cannot tell which items involve SI-generated content, and this is one of the top three barriers to shopping more often (CNBC).

Sources 1

cnbc.com

Maps from satellite imagery can be built right in a browser — without graphics cards or huge downloads.

Ai2 releases OlmoEarth v1.3: ready-made satellite embeddings for the whole planet at 10 m resolution and a browser tool for maps with no sign-in and no GPU

Maps from satellite imagery can be built right in a browser — without graphics cards or huge downloads.

OlmoEarth v1.3 turns a year of radar (Sentinel-1) and multispectral (Sentinel-2, Landsat) imagery into compact vector representations — "embeddings." Ai2 is publishing precomputed annual embeddings for the entire Earth (10 m, 64 and 128 dimensions) and the OlmoEarth Embeddings Explorer, where maps can be built and customized in a browser without registration or special knowledge. Until now the main route — fine-tuning the model in OlmoEarth Studio for each task — required GPUs and downloading imagery. The embeddings suit tracking change over time and finding similar places.

Sources 2

allenai.orghuggingface.co

Training robots and self-driving machines on synthetic data is getting easier: the blueprints are already ready.

Nvidia expands Cosmos: five ready-made data pipelines for physical SI and tools for fine-tuning open models, including GR00T and Alpamayo

Training robots and self-driving machines on synthetic data is getting easier: the blueprints are already ready.

Cosmos Data Factory offers five cloud blueprints: data preparation for self-driving cars, variations in object appearance, synthetic videos of rare and dangerous events, images of defects (printed circuit boards, metal, glass), and changing weather and lighting in existing footage; they are available via GitHub, Microsoft Azure, Nebius and CoreWeave. At GTC Berlin Nvidia also added fine-tuning, distillation, quantization and deployment tools for the open models GR00T, Alpamayo, Qwen, Pi0.5 and compatible Hugging Face models. According to Nvidia, the platform ranks in the top five on six open-model leaderboards; Porsche, together with Voxel51, expects to cut repeat test drives by up to 90% and development time by up to 85%.

Sources 1

blogs.nvidia.com

The church is starting to work out an official view on SI, but the position itself does not exist yet.

Russian Orthodox Church Synod tasks its Synodal Commission on Bioethics and High Technologies with developing the church's position on SI

The church is starting to work out an official view on SI, but the position itself does not exist yet.

The minutes of the Synod meeting, published on the Moscow Patriarchate's website, show that the commission has been designated the church body responsible for developing a position on superintelligence and other high technologies, with the results then submitted to the church leadership (The Insider; RIA Novosti also reported the instruction — from the page description). The commission will also represent the church in contacts on the subject with relevant state bodies, representatives of science and business, and public organizations, and may involve other church bodies; in connection with its new powers it has been renamed the Synodal Commission on Bioethics and High Technologies.

Sources 2

theins.ruria.ru

Schoolchildren will study SI and online safety regularly, although the classes are extracurricular and short.

Russia's Ministry of Education sets the scope of school courses on SI and information security: half an hour a week in grades 5–6 and one hour in grades 7–11

Schoolchildren will study SI and online safety regularly, although the classes are extracurricular and short.

According to Mail.ru, citing a Ministry of Education document, extracurricular classes on superintelligence and information security are allotted half an hour a week in grades 5–6 and one hour a week in grades 7–11. The ministry also proposed setting aside Monday for "Conversations About the Important" for grades 1–11. According to the TASS feed description, classes on superintelligence get from thirty minutes to an hour a week.

Sources 2

tass.runews.mail.ru

The skills standard for agents, created at Anthropic, moves under the foundation's neutral governance.

Anthropic hands the Agent Skills standard to the Agentic AI Foundation at the Linux Foundation: more than 70 platforms use it, 1 million skills published

The skills standard for agents, created at Anthropic, moves under the foundation's neutral governance.

Anthropic said it is donating Agent Skills — an open standard that gives SI agents specialized knowledge and working procedures — to the Agentic AI Foundation (AAIF) at the Linux Foundation, which the company co-founded with partners. A skill is a folder with a SKILL.md file describing how an agent should do a specific task, plus scripts and reference materials. According to Anthropic, more than 70 platforms, including ChatGPT, Cursor, GitHub Copilot and VS Code, have integrated the standard since it was published in December 2025; 1 million skills have been published and about 280 million installed. The company says it wants to keep the standard open, community-driven and independent of any single vendor. The figures are Anthropic's own.

Sources 1

anthropic.com

Google will pay businesses and homes to cut their load so its data centers have enough electricity — the results have not yet been measured.

Google expands its Voltus deal to a 1 GW "virtual power plant" on the PJM grid: customers get paid to cut demand at peak hours

Google will pay businesses and homes to cut their load so its data centers have enough electricity — the results have not yet been measured.

Google announced that, together with energy company Voltus, it is expanding an earlier 100 MW agreement into a 1 GW virtual power plant on the PJM grid, which serves 67 million people in 13 states and the District of Columbia. Voltus aggregates flexible capacity from local businesses and households — smart thermostats, batteries, industrial equipment — that temporarily reduce consumption at peak demand to support grid reliability. According to the blog text, participants receive bill savings and cash payments. Google calls it one of the largest known distributed-capacity portfolios built by a hyperscaler. Computerworld links the initiative to rising electricity demand from data centers, which, the outlet writes, is pushing up prices and straining local infrastructure; in its words, Google "will pay people to use less electricity."

Sources 2

blog.googlecomputerworld.com

Designing muscle and scaffold together on a computer made tiny robots move noticeably more strongly; use outside the lab is still a long way off.

ETH Zurich builds muscle bioactuators that jump, swim, walk and grasp: range of motion up to 11 times greater than earlier systems

Designing muscle and scaffold together on a computer made tiny robots move noticeably more strongly; use outside the lab is still a long way off.

Researchers at ETH Zurich (Robert Katzschmann's Soft Robotics Lab; the work is in Nature Communications) designed centimetre-scale living muscle tissue and a soft hydrogel scaffold together on a computer for the first time. An algorithm searched for configurations in which muscle contraction produces the largest displacement of the whole part; the scaffolds were 3D-printed with light using a technique called xolography, taking about a minute each. The result is bioactuators about 1.5 cm long made of muscle grown from mouse cells: according to the authors, their range of motion is up to 11 times greater than that of earlier systems with the same amount of tissue. One actuator lifts itself about 5 mm (a third of its body length), and a walking version moves at 6.2 mm/s — faster relative to body size than any walking biohybrid robot reported so far. Limitations: the robots survive only in a nutrient solution, larger systems would need an artificial blood supply, and living tissues do not all behave the same way.

Sources 1

ethz.ch

With stronger models, complex "teams" of subagents are often unnecessary: one agent does it faster and cheaper, and Anthropic has provided tools for the switch.

Anthropic advises folding subagents into one agent with context loaded on demand and releases a migration kit

With stronger models, complex "teams" of subagents are often unnecessary: one agent does it faster and cheaper, and Anthropic has provided tools for the switch.

In an article on claude.com, Anthropic writes that a single agent with skills and progressively disclosed context often outperforms both a single all-purpose prompt and a subagent design on quality, often at lower cost and latency. According to it, one customer got roughly 2x faster runtime after switching. The article comes with a single-agent-loop-kit on GitHub, with a guided evaluation and a demo on mock systems, plus three new Claude API skills: build-eval, prompt-audit and hillclimb. The Decoder adds from the same publication: the Claude Code system prompt for newer models was cut by more than 80%, and tool selection degrades beyond 30–50 tool definitions.

Sources 2

claude.comthe-decoder.com

The largest open models are starting to answer at speeds close to live conversation, if Cerebras's own data is to be believed.

Cerebras uses Kimi K3 (3 trillion parameters) to show how to split a model across 59 WSE wafers: 1,000–2,000 tokens per second claimed

The largest open models are starting to answer at speeds close to live conversation, if Cerebras's own data is to be believed.

In a Cerebras blog post published on October 22, the company explains how it places trillion-parameter-scale models: layers are spread across several wafers linked by RDMA over Ethernet. The open Kimi K3 (about 3 trillion parameters, 69 linear-attention layers and 24 dense ones) is used as an illustration: for it the post gives 59 wafers, a speed of 1,000–2,000 or more tokens per second and about 73 concurrent requests with a 256,000-token context. The figures are the company's own.

Sources 1

cerebras.ai

Former nuclear sites could give data centers ready-made grids and water, but for now it is only an assessment of feasibility.

PreussenElektra and Nvidia assess whether sites of former German nuclear plants could become data centers

Former nuclear sites could give data centers ready-made grids and water, but for now it is only an assessment of feasibility.

According to Bloomberg, the German energy company PreussenElektra said it is working with Nvidia to assess whether sites of closed nuclear plants could be turned into data centers, without giving details. According to iXBT, citing Tom's Hardware, the agreement dates from October 21; the idea is to reuse power grids, water supply and engineering infrastructure, not to restart reactors; specific sites, the amount and a plan have not yet been named.

Sources 2

bloomberg.comixbt.com

Voice faking has become a working tool for fraudsters; police advise calling back yourself.

Russia's Interior Ministry warns of fraudsters who use SI to fake the voices of homeroom teachers to extract money and SMS codes from parents

Voice faking has become a working tool for fraudsters; police advise calling back yourself.

According to Interior Ministry materials cited by RIA Novosti and relayed by Vedomosti, the caller's voice can be almost identical to a real teacher's, and the pretext is an "urgent problem". Police advise not to comply with the request right away, to end the call and call the homeroom teacher back yourself, or to ask whether other parents received the same request.

Sources 1

vedomosti.ru

The company keeps one browser with SI instead of two products, and some former users are unhappy.

The Browser Company shuts down the Arc browser on December 22 and moves users to the SI browser Dia

The company keeps one browser with SI instead of two products, and some former users are unhappy.

New user registrations for Arc stopped on October 22, and existing users are offered to move to another product from the company, the Dia browser. The developers explain the decision by the need to focus resources on supporting and securing a single product. In May 2025 Josh Miller publicly promised not to shut down Arc, and the decision caused discontent in user communities: they complain about missing familiar features in Dia (Habr).

Sources 1

habr.com

An SI coding assistant, by the author's account, helped crack the newest console, but how important this is remains unclear.

Nintendo Switch 2 hacked: an enthusiast shows a jailbreak through an old game, which he says was built with help from OpenAI's Codex

An SI coding assistant, by the author's account, helped crack the newest console, but how important this is remains unclear.

Modder pepsipu (Sammy Hajhamid) showed a software jailbreak, "ns2jb": a custom version of Mario Kart World with new characters was run on the console. According to him, OpenAI's Codex helped build it (The Verge). The exploit requires the game SmileBASIC 4 (another modder claims it is not necessary) and is "tethered": it has to be launched from the game every time the console is switched on. For most users the method remains complicated, and its significance is still unclear — the community is debating the scale of the consequences.

Sources 1

theverge.com

Occupational-safety inspections in construction will be run by drones and neural networks, but for now this is a plan.

From 2027 Rostrud will start using drones with SI in occupational-safety oversight, beginning with construction

Occupational-safety inspections in construction will be run by drones and neural networks, but for now this is a plan.

Rostrud head Mikhail Ivankov said in an interview with TASS (as relayed by Ridus; TASS per the feed description) that next year the agency plans to introduce SI and unmanned devices into its inspection processes, primarily in construction; the first stages of testing are already under way. According to him, neural networks can quickly identify possible violations at enterprises and, from a large body of oversight data, find hidden patterns in employers' behavior.

Sources 2

ridus.rutass.ru

Data centers are trying to turn from consumers of water into a source of it; for now this is a claim by the companies.

Endeavour and Trevi Systems claim a technology that turns SI data center heat into up to 750,000 liters of fresh water a day per megawatt

Data centers are trying to turn from consumers of water into a source of it; for now this is a claim by the companies.

According to the companies' October 22 press release, Endeavour (maker of the ThermalWorks closed-loop waterless cooling system) and Trevi Systems (forward-osmosis desalination) are combining their technologies: heat taken from servers drives desalination, and by their estimate the setup can produce up to 200,000 gallons (about 750,000 liters) of water a day from brackish groundwater for every megawatt of computing capacity, or about 50,000 gallons per megawatt from oilfield produced water. According to the companies, the brine is concentrated to solid salts, meaning no liquid discharge. Endeavour will first deploy the systems at its own data centers in the US, then plans to scale up with operators and hyperscalers. The figures come from the companies.

Sources 2

prnewswire.comixbt.com
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