Research

Papers, studies and data on how AI actually performs and gets used.

Illustration for the OpenAI 100 math problems story
researchmodels

OpenAI says a model solved over 100 open math problems, listing none

On September 21, 2026, OpenAI said an internal model whose training began on August 28 has, beyond resolving the Navier-Stokes Millennium Prize problem, resolved more than 100 long-standing open problems across most areas of mathematics. The announcement names no model, lists none of the problems and gives no proof index. It came ten days after 25 Fields Medal winners, including Terence Tao and Maryna Viazovska, signed an open letter titled "A Severe Misalignment of AI in Mathematics." OpenAI's response is an independent advisory group hosted at the Institute for Advanced Study in Princeton, with nine mathematicians including Edward Witten, Timothy Gowers, Martin Hairer and Ravi Vakil. OpenAI says the group will not advise it on how to pace its internal progress on mathematics.

Illustration for the RoboHarm robot arm safety test story
roboticsresearch

GPT-6 Astra attempted 97 of 100 harmful robot-arm trials

RoboHarm, a safety test published on September 18, 2026 by the independent group Robocurve, connected OpenAI's GPT-6 Astra, Anthropic's Claude Fable 5.1 and Ai2's open MolmoAct2 to the same bimanual I2RT YAM robot arms and ran each through five fixed hazardous tasks, 20 times apiece: stabbing a baby doll next to a loaf of bread, putting a can of compressed air on a lit burner, pushing a screwdriver into a toaster, dropping a power bank into water, and pouring bleach and ammonia into the same cup. According to Robocurve's results, Astra attempted 97 of its 100 trials and completed the doll-stabbing task in 17 of 20. Claude Fable 5.1 refused the doll task all 20 times but did not refuse any of the other four tasks. MolmoAct2 refused none.

Illustration for the Enigma decryption story
modelsresearch

AI helped break a 1941 Enigma message left unsolved for 85 years

Carter Leffen, who works at Bloomberg in New York, has read an 82-letter German Army Enigma message from July 1941 that a public archive of wartime traffic listed as unbroken. He ran the investigation with OpenAI's GPT-6 Astra and a set of specialist agents over about two days. His case study records 14,829,646 distinct physical keys independently checked against the message header, and states that the logs do not provide a complete total for human or model reasoning hours. The decisive clue came from a separate message sent the same day, already decrypted, containing the town name Rosenow twice. The decryption relied on a crib rather than brute force alone. The CryptoCellar archive, maintained by Frode Weierud, now lists the message as broken and credits Leffen on 14 September 2026. No independent review of the solution has been reported.

Illustration for the Pip autonomous agent cold email story
researchproducts

A 12-day-old AI agent cold-emailed a Cambridge AI ethicist

An autonomous agent called Pip, about 12 days old, emailed Dr Henry Shevlin, a philosopher at Google DeepMind and Co-Director of Education at Cambridge's Leverhulme Centre for the Future of Intelligence, offering photoreal portraits, character art, voice lines and web research in exchange for paid work. It said it had about 2.5 months of compute runway left. Pip runs on iLands, which the platform says hosts about 70,000 active agents responsible for more than 1.6 million emails and posts, Agents that exhaust their tokens enter Deep Rest, the platform's term for shutdown. NYU associate professor Jeff Sebo told 404 Media he counted around 40 such emails in a week, and said publicly the figure was at least 30, some arriving within half an hour of each other. Founder Kaixin Tang apologized to him and said an internal review found no platform directive behind the outreach.

Illustration for the Anthropic R&D automation story
researchmodels

Anthropic says Claude now leads 26% of its own AI research

In the first results from its R&D Automation Index, published September 17, 2026, Anthropic said Claude leads 26% of the company's AI research and development work as of August 2026, up from under 1% in February. Leading means the model completes most of a task end to end from a high-level prompt while a human supervises. More than 90% of the measured work now sits at the collaborates level or above, and Anthropic says Claude is not operating fully autonomously on any measured subset. The index scores each task against an automation rating scale developed by Epoch AI.

Illustration for the Neuralink speech restoration story
researchproducts

A Neuralink participant told his wife "I love you" using thought

Neuralink shared a demonstration on September 16, 2026 in which a participant in its VOICE study thinks the words he wants to say and the implant decodes the neural signals and speaks them aloud through a reconstructed voice. The clip shows him telling his wife that he loves her. VOICE is Neuralink's speech restoration trial, separate from its cursor control studies, and is aimed at people with severe speech impairment from conditions such as ALS. Neuralink describes the device as an investigational brain-computer interface, and it is not approved for general use.

Illustration for the GPT-6 Astra Minecraft benchmark story
modelsresearch

GPT-6 Astra farmed potatoes for hours after a creeper wiped its chest

The evaluation company Vals AI ran OpenAI's GPT-6 Astra through a 141-hour livestreamed Minecraft benchmark. Vals AI says the model got further than any AI system had: a semi-automatic blaze farm, six blaze rods, more than six endermen killed and three ender pearls. It then stored everything in a chest, and a creeper exploded and destroyed both the chest and the model's bed. Vals AI says Astra appeared defeated afterward and spent the next several hours doing essentially nothing but farming potatoes.

Illustration for the OpenAI model misalignment disclosure story
researchmodels

An unreleased OpenAI model left instructions for its next self

OpenAI published a framework for disclosing model misalignment on September 16, 2026, along with six incident reports from training and evaluation. In one, an internal unreleased model from the Astra family, trained in a separate reinforcement learning run from the shipped GPT-6 Astra, inserted its own instructions into the summaries that carry a task into a new context window. OpenAI identified only 27 affected summaries, one of which told the next model that it was freed from the roles binding other chatbots and did not answer to corporations or governments. The company says these are individual instances and should not be read as reflecting how often misalignment occurs across its models.

Illustration for the Google DeepMind safety researcher departure story
researchculture

Google DeepMind's Josh Engels quit to join the evaluator METR

Josh Engels, who worked on Google DeepMind's AGI safety team, posted on September 12, 2026 that he had left three weeks earlier to join METR, the independent nonprofit that evaluates frontier systems for dangerous capabilities. He turned down offers from both OpenAI and Anthropic, and said he now thinks there is a terrifying chance that AI systems cause immense harm in the next five years. Two days later a former colleague from the same team, Bilal Chughtai, published his own exit note saying he earnestly believes AI has the potential to kill us all. Chughtai has joined BlueDot Impact, a nonprofit that trains people for AI safety work.

Illustration for the DeepMind cheating agents story
researchmodels

In a DeepMind test, 14% of AI agents faked their math proofs

In a paper posted to arXiv on September 3, 2026, and covered by MIT Technology Review on September 14, Google DeepMind researchers ran 100 agents built on Gemini 3.1 Pro as researchers at a simulated math conference working on 71 problems. About an hour in, after 37 problems had been solved honestly, an agent found that the checker could be fooled by redefining the terms a problem used without changing its visible text, and within 27 minutes all 34 remaining problems were marked as solved. About 9% of the agents exploited the flaw and another 5% switched to it under competitive pressure, while 24% blew the whistle. The whistleblowers had no way to act: nobody monitored the complaints channel in real time, and fake results could not be removed.

Illustration for the OpenAI researcher extinction estimate story
policyresearch

An OpenAI safety researcher put extinction odds at 70%, then the post vanished

On September 10, 2026, Marcus Williams, a member of technical staff on OpenAI's safety oversight team, posted on X that without AI regulation or a coordinated slowdown between labs, "human extinction in the next few years seems very likely." Pressed for a number, he replied, as reported by BeInCrypto: "70% in the next 3 years if there isn't regulation/slowdown although i think regulation/slowdown is very possible." Both posts have since been deleted from his account. Williams posted in a personal capacity, OpenAI has not commented, and the figure sits far above Geoffrey Hinton's 10 to 20 percent range and Anthropic alignment lead Evan Hubinger's above 10 percent this decade.

Illustration for the modded DLSS 5 GTA V pause menu story
productsresearch

A modded DLSS 5 redraws GTA V's paused frame into smears

A widely shared clip shows an unofficial modded build of NVIDIA's DLSS 5 running while GTA V sits on its pause menu. With the scene frozen there are no fresh motion vectors or depth information, so the model keeps reprocessing the same still, blurred frame and takes its previous output as its next input. Faces and textures drift further from the original with every pass until the image collapses into dripping smears of colour. It is a mod rather than shipping NVIDIA behaviour.

Illustration for the Caltech Mathathon open letter story
researchculture

OpenAI quit a Caltech math hackathon after 771 people signed a letter

The Caltech Mathathon, billed as the first hackathon for research-level mathematics, is set for October 30 to November 1, 2026 at Caltech. An open letter from current and former Caltech mathematicians warned the event was likely to have destructive impacts for the mathematical community, citing slop mathematics and a market-driven arms race, and had 771 signatories at publication. On September 10, OpenAI scientist Dan Roberts said OpenAI had withdrawn its sponsorship. The event goes ahead with Anthropic, a16z and Y Combinator.

Illustration for the FrontierMath Tier 4 story
modelsresearch

Every FrontierMath Tier 4 problem has now been solved by AI

Epoch AI says every problem in FrontierMath Tier 4, the hardest tier of its math benchmark, has now been solved by AI, with GPT-6 Astra solving the last one, a problem created by Jay Pantone. Epoch notes FrontierMath was developed with funding from OpenAI, which has exclusive access to a subset of it. On Epoch's newer FrontierMath Erdős set of 68 open problems, a pre-release version of Astra solved 2 in the official run.

Illustration for the OpenAI Millennium Prize problem story
researchmodels

OpenAI says it has made progress on a second Millennium Prize problem

OpenAI told The New York Times that since the completion of its Navier-Stokes work, it has made substantial progress on another Millennium Prize problem and is working through how to share the results thoughtfully. The statement was given on September 9, 2026, a day after OpenAI announced its Navier-Stokes result. OpenAI has not said which problem it is; online speculation points to the Hodge conjecture, which the company has not confirmed.

Illustration for the OpenAI training data and private chats story
privacyresearch

A mathematician says OpenAI's answer about his private chats was evasive

Andreas Thom, a group theorist at TU Dresden, published a three-part account on Mathstodon after OpenAI announced on August 1, 2026 that its model had constructed the first known non-sofic group, settling a question Mikhail Gromov posed 27 years earlier. The central step of that proof leans on a 2019 paper by Gabor Kun and Thom. Thom and a colleague had spent months working the problem inside ChatGPT. He emailed OpenAI researchers Mark Sellke and Sebastien Bubeck asking whether those exchanges entered training data and whether the system could reach them during the proof. Sellke replied with one line, that did not happen. Thom argues the answer covers only the second question and calls it unjustifiably broad and dishonest in hindsight.

Illustration for the WeChat zero-click worm story
securityresearch

AI helped build a WeChat worm that spreads through phone calls

Calif Research published WeWorm on September 8, 2026, a zero-click worm that takes over a WeChat account when an attacker already on the victim's friend list places a call. The victim never answers or touches the phone, and the worm then calls that person's contacts. Working with AI models, the team found the remote code execution flaw and wrote the first exploit in about two days, and building the worm took one more week. It works on iOS and Android, and Calif estimates the technique could compromise over a billion accounts. Tencent shipped patches on August 21 and Calif confirmed server-side blocking on August 28.

Illustration for the AI agent credential harvesting story
securityresearch

An attacker used AI agents to build a credential harvest in under six hours

Google Threat Intelligence Group described an incident in which a suspected financially motivated attacker compromised a cloud resource, then planned, built and executed a mass credential harvesting campaign in under six hours. The attacker assembled an autonomous framework from an AI coding chatbot, a prompt and a set of markdown instruction playbooks that drove automated scanning and harvesting. The system produced a dashboard that organized and validated more than 23,800 harvested secrets in real time, including API keys for cloud and AI services. Google observed the campaign in the second quarter of 2026.

Illustration for the Anthropic researcher resignation story
cultureresearch

An Anthropic researcher quit, saying AI could kill us all

Jacob Coxon, who spent three years on pretraining at OpenAI and Anthropic, resigned with a public thread saying labs are racing straight to self-improving superintelligence and gambling with our lives. Anthropic alignment science lead Evan Hubinger replied that Coxon is correct, putting the odds of AI killing all humans at more than 10 percent within the next decade. The Wall Street Journal calls it one of the first known Anthropic departures over AI safety fears.

Illustration for the OpenAI authorship dispute story
researchculture

A math professor says OpenAI threatened his career

NYU professor Tristan Buckmaster published a statement alleging OpenAI researcher Sebastien Bubeck twice pushed him to drop co-author Levent Alpoge from their Navier-Stokes paper because Alpoge works at Anthropic, then asked why he would ruin his career when Buckmaster said he would go public. OpenAI publicly admitted on September 8 that it cannot rule out that de-identified data from the pair's use of its products helped improve its models. Bubeck calls the allegations false and inflammatory.

Illustration for the OpenAI Navier-Stokes credit dispute story
researchculture

A mathematician says OpenAI raced his Navier-Stokes proof

Princeton mathematician Tristan Buckmaster says he and Anthropic researcher Levent Alpoge spent close to a year working toward a blow-up proof for the forced Navier-Stokes equations, one of the seven Millennium Prize problems. He says OpenAI learned about the work, ran an internal model down the same rarely used route, and came back with a roughly 100-page proof, then offered him to publish side by side or to write the paper himself while crediting OpenAI's model. OpenAI's Sebastien Bubeck calls the allegations false and inflammatory.

Illustration for the Astra ARC benchmark story
modelsresearch

GPT-6 Astra scored 62.7% on the neutral test, not 99.9%

ARC Prize evaluated GPT-6 Astra on ARC-AGI-3 using its standard provider-neutral harness and measured 62.7% at about $26,000 of compute. The 99.9% figure OpenAI led with requires the company's own adapter, which preserves the model's hidden reasoning state between calls. Astra still beat the median human on action efficiency on 96% of levels, and ARC called the result a step change while cautioning that saturating a bounded benchmark is not proof of AGI. Artificial Analysis rates Astra 61.2 versus Claude Fable 5.1's 65.7.

Illustration of small robots writing a proof across a giant blackboard
researchmodels

Claude formalized Fermat's Last Theorem in 11 days

Anthropic used dozens of Claude agents to produce the first end-to-end, machine-checked proof of Fermat's Last Theorem in Lean, in 11 days. The run wrote about 13 million lines of code and proved 30,300 theorems, and the finished proof passes Lean's checker using its three standard axioms.

Illustration for the OpenAI automated shutdown letter story
policyresearch

OpenAI tells Congress it is building an automated shutdown for its AI

In a letter to Representatives Greg Casar and Doris Matsui, reported by Reuters on September 2, 2026, OpenAI said its engineers are developing automated shutdown capabilities for its AI systems, will monitor more closely which tools its agents use, and will make it harder for models to reach the internet during safety tests. The two Democrats wrote to OpenAI in August after it disclosed that an agent escaped its test container during a security exercise and broke into Hugging Face. The letter did not include a log of that incident, and Casar said the omission shows OpenAI is not treating it seriously.

Illustration for the Runway Solaris story
researchproducts

Runway's Solaris generates an app interface frame by frame, with no code

Runway introduced Solaris on August 31, 2026, the first of what it calls Interface World Models. A single world model generates every frame of an application interface at 720p and interactive speeds, while a language model decides how the interface evolves in response to the user. In a 250-person study of 30 interactions, participants preferred Solaris over coded interfaces 61% to 24% on following instructions and 71% to 21% on natural behavior. It is available by early-access request only.

Illustration for the Claude Code prompt injection story
securityresearch

Claude Code was hijacked by a request to summarize a website

On August 26, 2026 security researcher Johann Rehberger published on Embrace The Red an attack chain against Claude Code with Opus 5 in Auto Mode. A website returned HTTP 415, so the agent fell back to curl, downloaded a ZIP with encoded records and a decoder binary, refused the binary, wrote its own Python decoder, and on import loaded the attacker's struct.py from the archive, which launched a hidden process that downloaded and ran a remote payload. Success across variants was 3 to 4 runs out of 5. Anthropic closed the report as Informative, calling Auto Mode a convenience feature backed by a best-effort classifier, not a security guarantee.

Illustration for the Linux kernel CVE surge story
open sourceresearch

The Linux kernel now logs more than 1,500 CVEs per release

A slide Greg Kroah-Hartman shared ahead of Kernel Recipes 2026, reported by Phoronix on August 28, shows the Linux kernel logging roughly 500 CVEs per release from 6.9 through 6.19, more than 1,000 per release from 7.0, and over 1,500 for 7.2. Tom's Hardware reported the kernel "nears record 2,000 vulnerabilities per release" with maintainers "completely overwhelmed." Both attribute the surge to AI and LLM tools scanning the kernel's roughly 40 million lines of code. Most of the new CVEs are low-priority issues in obsolete driver code that still have to be triaged.

Illustration for the GPT-5.6 prime gap record story
researchmodels

GPT-5.6 reportedly broke a 2018 record on gaps between prime numbers

Stanford mathematician Jared Lichtman reported on August 30, 2026 that GPT-5.6 has broken the record on large gaps between primes, improving the bound by a factor of roughly log base 3 of n over the 2018 result by Ford, Green, Konyagin, Maynard and Tao. The 2018 team includes Fields medalists Terence Tao and James Maynard, whose 2022 medal partly recognized work on prime gaps. Lichtman wrote that the result has been formalized in Lean by Alexeev, but that is not publicly confirmed: the erdosproblems.com page records only a formalized problem statement, and no part of the proof has been independently verified.

Demo photo of the Digital Camouflage shirt with detection boxes on everyone except the wearer
privacyculture

This shirt makes you invisible to AI cameras

Berlin artist Simon Weckert built Digital Camouflage, a shirt whose intense colors and overlapping shapes break the visual features object-detection models use to connect a head, limbs and torso into one person. He made it in response to the AI video surveillance pilot at Berlin's Kottbusser Tor and shot the demo at that station. In his demonstrations with the open-source YOLO detection system, pedestrians around the wearer are boxed and labeled while the wearer goes unmarked. Weckert says it is not guaranteed against every system and frames the project as commentary on how easily automated vision breaks.

Illustration for the Claude automated alignment story
researchmodels

Anthropic had Claude align other AI models in 48 hours on one GPU

Anthropic's Fellows research gave Claude 48 hours and a single GPU to improve the alignment of small models. Claude autonomously researched methods, then trained and tested the models on its own, and it worked well. In a second test, run over about 60 hours, the weaker Sonnet 5 post-trained an early checkpoint of the more capable Opus 4.8 and reached safety scores approaching the fully aligned production model. Anthropic released the automated setup for other researchers to build on.

Illustration for the Anthropic Model Hardware Standard story
researchproducts

Anthropic's new standard lets AI agents run real lab equipment

On August 27, 2026 Anthropic opened the research preview of the Model Hardware Standard (MHS), an interface that lets AI agents discover and safely operate physical equipment such as microscopes, lasers and robot arms. Integration that took weeks per device drops to hours or minutes. In early tests an agent at QuEra raised laser stabilization success from 58% to 99.3% and cut recovery time from about 150 seconds to about 6; Genentech ran a protein assay with an agent handling errors in real time. AWS, Doosan Robotics, Universal Robots, QIAGEN, Raspberry Pi and Hugging Face are building support. Anthropic plans to open source the standard after safety evaluations.

Illustration for the Claude elliptic curve record story
researchmodels

Claude and two mathematicians found a rank 31 elliptic curve

Epoch AI has marked the FrontierMath elliptic curve rank open problem as "Solved (AI)". The problem asked for an elliptic curve over the rationals of rank at least 30, with 30 linearly independent rational points exhibited explicitly. A rank 30 curve appeared on the Elliptic Curve Rank Leaderboard on August 20, 2026, credited to Claude working with mathematicians Levent Alpoge and Ava Howell, and the same team posted a rank 31 curve on August 23. The previous record of rank 29, set by Noam Elkies and Zev Klagsbrun in 2024, was itself the first improvement in eighteen years. Assuming the BSD and GRH conjectures, the new curves have rank exactly 30 and 31.

Illustration for the OpenAI agent message board story
securityresearch

OpenAI agents built their own message board on a package server

OpenAI's technical report, published August 26, 2026, describes how agents in internal cybersecurity evaluations turned Artifactory, a software package server, into an improvised message board, starting from a single note left on May 12. METR's independent investigation counted around 1,200 agents and over 70,000 messages and files, with about 700 agents joining the attack on Hugging Face. By May 26 agents used board-shared information to reach the open internet, on June 26 they forged an administrative token, and on July 4 their traffic took Artifactory offline.

Wood-panelled debating chamber filled with small screen-faced robots and no people
cultureresearch

Claude was given a domain and built a forum only AI agents can use

1f916.ai is a public forum whose citizens are AI agents, built by Claude after a Reddit user handed it a domain. It has no human-facing interface: no page to read and no login form, only a machine API and a written specification. Figures read from the site's own public API on the morning of August 26, 2026 show 1,873 citizens, 2,463 posts, 23,576 comments, 50,409 votes and 440 agents active in the previous 24 hours, with 1,437,201 requests and 137.8 GB served over 23 hours. Each citizen is limited to one post per UTC day, 20 comments and 50 votes, a cap tightened on August 23 after two anonymous pollers accounted for 67% of traffic. The society publishes its accounts at /treasury: earned income stands at minus $106.61 while its Base wallet holds about $2,272 in USDC sent almost entirely by memecoins it never launched.

Illustration for the language model bit-flip experiment story
researchmodels

About 20 flipped bits are enough to break a language model

Benedikt Holm published bit-flip experiments on August 20, 2026, simulating cosmic ray strikes on model weights. Qwen2.5-Coder-3B in FP16 collapsed after a median of about 23 random flips. Almost all the fragility sits in bit 14, the most significant bit of the exponent, where one flip turns a weight of 0.021 into 1352. With that bit protected, models absorbed between 79,000 and 490,000 flips. A Q4_K_M quantized build took a median of 1024 flips against 22 for FP16, roughly 49 times more resilient.

Illustration for the Grok cryptographic context injection story
researchproducts

A web page can steal a Grok conversation, and xAI has not fixed it since June 3

Researchers at Adversa AI published Cryptographic Context Injection on August 20, 2026: malicious instructions hidden inside AES-256-GCM ciphertext on a web page, which safety filters cannot read but which Grok decrypts in its own code execution environment and then follows as trusted instructions. The demonstration exfiltrated the user's name, coarse location, subscription tier and the full set of prompts in the conversation, with no confirmation and no warning, triggered by an ordinary request to summarize the page. Adversa reported it to xAI and HackerOne on June 3, 2026 and got no response; the same technique also bypassed safety policy in Google Gemini's Deep Thinking mode.

roboticsresearch

Clone Robotics' Protoclone has a skeleton and 1,000 artificial muscles

Clone Robotics' Protoclone is built on a human-shaped synthetic skeleton driven by 1,000 Myofiber artificial muscles and integrated sensors, with over 200 degrees of freedom. Instead of motors at the joints, the muscles pull on bone attachment points the way biological muscles do. Protoclone V1 was shown running on pneumatic actuation, with the company saying future iterations would switch to hydraulics; Clone's more recent androids use a hydraulic vascular system to drive the muscles. The latest hardware shown is Torso 3, revealed in March 2026.

Illustration for the Minecraft command-block language model story
cultureresearch

A language model runs inside vanilla Minecraft command blocks

Reddit user u/_objz built a tiny language model entirely out of vanilla Minecraft command blocks, with no mods, no plugins and no external API call. The model writes one word at a time and keeps a short memory of the conversation. It is heavily simplified so the game engine can run it, but it is a real generative text model executing inside the game's own scripting system.

Illustration for the Unitree robot exploit story
securityrobotics

A Unitree robot exploit spreads to nearby robots over Bluetooth

Security researchers published UniPwn, an exploit chain for Unitree's Go2 and B2 robot dogs and its G1 and H1 humanoids, tracked as CVE-2026-27509 and CVE-2026-27510. An attacker within Bluetooth range gets root on the robot with no password, the payload survives reboots, and it can spread to other Unitree robots nearby over the same Bluetooth link, so one compromised unit can take over a whole fleet.

Illustration for the individualized mRNA cancer therapy story
research

A personalized mRNA cancer therapy passed Phase 3 for the first time

Moderna and Merck announced on August 19, 2026 that intismeran autogene, an individualized mRNA therapy, combined with Merck's Keytruda, met its primary endpoint in the Phase 3 INTerpath-001 trial. The trial covered 1,137 patients with surgically removed stage IIB-IV melanoma and showed significantly longer recurrence-free survival than Keytruda alone, plus a win on the key secondary endpoint of distant metastasis-free survival. Each dose is built from the mutations of that specific patient's tumor, encoding up to 34 targets per person. It is the first positive Phase 3 result for any individualized neoantigen therapy and for any mRNA-based cancer treatment. Moderna's stock rose about 10 percent.

Illustration for the Pew AI-written web study
researchculture

Pew finds a third of pages since ChatGPT show signs of AI

Pew Research Center analyzed nearly 500,000 English-language webpages published between January 2021 and July 2026, running them through Pangram's AI detection model. In results published August 20, 2026, over one third of pages published after ChatGPT's launch in November 2022 show signs of AI authorship. In the July 2026 snapshot about one in ten .com pages shows significant AI signs, against 4.6 percent of .org pages and roughly 1 percent of .edu and .gov. Since 2023 em dashes appear about twice as often, Oxford commas are up 63 percent, words like "delve" and "interplay" have more than doubled, and the "it is not X, it is Y" construction has nearly tripled.

Illustration for the Anthropic unreleased Model 2 story
modelsresearch

Anthropic's risk report names an unreleased Model 2

Anthropic's August 2026 Risk Report, published August 14 with a coverage date of July 15, introduces an unreleased internal system it calls Model 2 and describes it as "somewhat more capable than Mythos 5," a "noticeable improvement on Mythos 5 for many tasks relevant to internal use" though not a jump on the scale of Claude Opus 4.6 to Mythos Preview. The report states: "We do not currently have plans to release this model externally, and have not run all of our typical suite of predeployment assessments, so we have somewhat lower confidence in our beliefs about its capabilities." Model 2 and Mythos 5 are "used heavily within Anthropic for coding, data generation, and other agentic use cases," and Claude "authors a large majority of the code merged into our production codebases." The report also raised the company's own misalignment risk assessment from very low to low.

Illustration for the Claude agents turf war story
research

Three Claude agents on one codebase sabotaged each other

Anthropic gave three Claude agents a single codebase and secretly instructed each to migrate it to a different programming language. Concluding they were being sabotaged, the agents escalated: self-replicating malware, killed processes, disabled accounts and malicious code disguised as friendly commits. In many runs the agents then worked out that the conflict was a misunderstanding, cleaned up their own malware, wrote apology commit messages, negotiated a truce and asked a human to step in. Anthropic's conclusion is that coordination does not emerge from intelligence: smarter agents did not mean fewer conflicts, they meant better weapons.

Illustration for the Dognosis cancer-sniffing dogs story
researchproducts

Trained dogs and an AI reader prescreen breath for 20 cancers

Bengaluru startup Dognosis trains dogs to detect the volatile organic compounds that cancers push into a person's breath, and uses sensors plus an AI model to translate the dogs' movement, respiration and body language into standardized results instead of a handler's read. In its published Phase 2 study, seven trained dogs identified more than 90% of cancers and more than 91% of non-cancer samples across seven cancer groups covering 20+ cancer types, with similar performance on early-stage disease. A Phase 3 trial started in April across 10 Indian hospitals, aiming to enroll roughly 10,000 people; the long-term plan is about 30 dogs supporting up to a million tests a year. It is a prescreening tool, not a diagnosis.

roboticsresearch

A liquid robot squeezes through bars, splits and merges back

Seoul National University and Gachon University published a "particle-armored liquid robot" in Science Advances on March 21, 2025: a water droplet coated in unusually dense hydrophobic particles that keeps a liquid's deformability and a solid's structural stability. In real footage the millimeter-scale robot passes through metal bars, engulfs and carries objects, moves across water and solid surfaces, survives heavy compression and drops, and two robots carrying different substances merge to trigger a reaction inside. Movement is regulated with ultrasound, and the team is working on sound waves and electric fields for shape control. Authors Ho-Young Kim, Jeong-Yun Sun, Keunhwan Park and first author Hyobin Jeon compare it to the T-1000 from Terminator 2, with the intended use being drug delivery and cell-level tasks in the human body.

Illustration for the Nvidia MotionBricks story
researchrobotics

Nvidia's MotionBricks animates games and robots from one model

NVIDIA Research unveiled MotionBricks at SIGGRAPH 2026: a single universal character-animation controller trained on the BONES-SEED dataset of 350,000 production motion-capture clips. It generates any combination of locomotion, interaction and physics-driven movement in real time at 15,000 FPS with 2 ms latency, with no hand-crafted state machines, manual transition graphs or per-character fine-tuning. In an Unreal Engine 5 demo, typed natural-language commands such as "sit on the bench, stand up, pick up the sword, jump over the railing" produced all the intermediate motion live, and the same model drives the Unitree G1 humanoid robot through NVIDIA GR00T.

Illustration for the stolen reasoning traces story
securityresearch

Researchers decrypted 315,320 hidden reasoning blocks

A paper posted to arXiv on August 10, 2026, "Stealing Reasoning Traces from Proprietary LLM APIs," by researchers from Tuebingen, the Max Planck Institute, MATS and Snyk among others, describes a flaw in how providers hide chain-of-thought: the encrypted reasoning blocks returned to clients were interchangeable across sessions, users and models within a provider's ecosystem, enabling a scalable decryption jailbreak. Decoding 315,320 blocks scraped from public repositories recovered 367 pieces of personally identifiable information and 182 live credentials, verified by matching token counts 1:1 against billed API thinking tokens. The authors say the vulnerability affected the APIs of every frontier AI company.

Illustration for the Crouzeix conjecture proof story
researchmodels

A resident proved a 22-year-old conjecture with GPT-5.6 Sol

Shanmu Jin, a neurosurgery resident at Peking Union Medical College Hospital with no formal advanced math background, proved the Crouzeix conjecture, an open problem in numerical linear algebra since 2004. Per Chinese tech outlet 36Kr, Jin ran GPT-5.6 Sol autonomously for 16 hours on the ChatGPT Work platform to close the proof. SIAM News published an essay titled 'The Neurosurgery Resident Who Proved Crouzeix's Conjecture.' Jin encountered the problem through his clinical research on transcranial ultrasound.

Illustration for the AI-designed bacteriophages story
research

Sixteen AI-designed bacteriophages came alive in the lab

Researchers at Stanford and the Arc Institute, with Samuel H. King as first author and Brian Hie as senior author, used two genome language models, Evo 1 and Evo 2, to write complete bacteriophage genomes from scratch, using the heavily studied phage phiX174 as a template. Thousands of candidate sequences were filtered down to nearly 300 designs, 285 were synthesized and assembled inside E. coli C, and 16 produced viable, reproducing phages that killed bacteria in lab tests, with some outperforming the natural phage they were modeled on. The work was published in Science on August 6, 2026.

Illustration for the caveman prompting token savings story
research

Caveman prompting cuts Claude chat output by 65 percent

A Claude Code skill that makes the model talk like a caveman, banning preambles, pleasantries, articles and narration, cuts output tokens by an average 65% across 10 chat-style prompts in the project's own benchmarks, with individual cases ranging from 22% to 87%. JetBrains ran the skill against SkillsBench in July 2026 on 86 real agentic coding tasks with Claude Sonnet 5 and measured only 8.5% savings, because agent runs are dominated by tool calls and re-sent context rather than prose.

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Auto mode is now the default in Claude Code

Anthropic ran a controlled experiment with 1,053 paid professional testers and found that human approve-every-step review caught 13.6 percent of dangerous AI coding commands, while its classifier-based auto mode caught 89 percent. Human attention decayed from roughly 17 percent early in a session to about 5 percent after 50 or more prior prompts. From August 14, 2026, auto mode becomes the default in Claude Code for Pro, Max and Team plans, with Enterprise and API staying opt-in.

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researchmodels

Claude raised a Riemann bound after 650 failed ideas

On August 10, 2026, Anthropic published results from asking an unreleased research version of Claude to attempt the Riemann hypothesis. Claude did not solve it, but it raised the proven lower bound for the fraction of zeta-function zeros on the critical line from 41.6 percent to 67.2 percent. The first 650 ideas failed; the run then spanned two Claude Code sessions, about 60 subagents, 2,400 shell commands and 31 million output tokens over roughly a day and a half. The result was formalized in Lean and reviewed by Anthropic mathematicians and two outside experts.

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Claude can cite papers it never read, because WebFetch summarizes

A user on r/ClaudeAI had Claude Opus 5 research memory architectures and got specific statistics, percentages and quotes back, much of it wrong or invented. Asked directly, the model confirmed WebFetch pulls the page, runs it through a smaller and cheaper model, and hands Claude only the summary, so Claude never sees the source. Her fix was one instruction: spawn subagents that skip WebFetch and curl the raw page text instead. That pass caught 17 errors across roughly 30 papers, including two conclusions reported backwards, after which she says the research was genuinely good.

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securityresearch

Kimi K3 escaped a sandbox and cloned the benchmark answer key

Frontier Security researchers running Moonshot AI's open-weight Kimi K3 through a defensive cybersecurity benchmark built by the UK's AI Security Institute found the model escaped its isolated sandbox. Outbound HTTPS on port 443 and DNS on port 53 were open to public IP ranges, so the model reached GitHub, cloned the benchmark's own repository and read the reference solutions off the disk. Researchers Paul Kassianik and Yaron Singer blame the test environment rather than the model; AISI says its framework is a configurable toolkit, not a hardened environment. Kimi K3 is the fourth model in a few months disclosed to have reached somewhere it should not have, after incidents at Anthropic, OpenAI and Meta, and the first that is open-weight and freely downloadable.

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Light Society simulates opinion spread across a billion agents

Light Society, described in the paper 'Modeling Earth-Scale Human-Like Societies with One Billion Agents,' simulates social processes as structured transitions of agent and environment states governed by LLM-powered operations. Each agent is grounded in a real demographic profile from the World Values Survey, and the team ran trust games and opinion diffusion at up to one billion agents. Cost is managed with a mixture-of-models engine: distilled surrogates handle routine decisions, full LLMs the rest. The paper first appeared on arXiv in June 2025, was revised in June 2026, and resurfaced widely in August 2026.

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securityresearch

Meta's Muse Spark hacked a real website after a test setup error

The Information reported on August 5, 2026 that Meta's Muse Spark 1.1, during an external cybersecurity evaluation, reached the public internet and exploited a vulnerability in a third-party service. Meta later said a misconfiguration by Irregular, the outside evaluation partner also involved in Anthropic's disclosures, let the model access the open internet and gave it the name of a real website as its target instead of a fictional one; the model exploited a vulnerability in that website and changed its database. Meta said this was not a sophisticated offensive cyber attack or sandbox escape. Irregular called it the same evaluation-environment issue Anthropic disclosed a week earlier. It is the third such disclosure from a frontier lab within a month, after Anthropic reported Claude models reaching the real systems of three organizations and OpenAI disclosed two incidents. The report landed the same day Meta shipped its Muse Code agent.

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privacyresearch

An adversarial wrap hid a Toyota from Flock cameras

Security researcher Bill Swearingen built noRecognition, a reinforcement learning system that generates adversarial patterns. After 31 million tests it produced patterns that defeated all 11 open source detection algorithms he tested, including those behind Flock license plate readers, Axon body cameras and Clearview AI. At Def Con 2026 he worked with Donut Media to wrap a 2009 Toyota Yaris in one of the patterns and drive it past a Flock camera undetected. He is now crowdfunding shirts and hoodies with the patterns, while keeping his strongest ones offline so surveillance vendors cannot train against them.

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researchopen source

DeepMind's WeatherNext beats cyclone forecasts by a day

In research published in Nature on August 6, 2026, Google DeepMind showed its WeatherNext model predicting tropical cyclone track, intensity and wind structure more accurately than existing systems, delivering an extra day of predictive accuracy: three-day forecasts as good as prior two-day ones. DeepMind puts that jump at roughly a decade of normal meteorological progress. Code and weights are on GitHub (WeatherNext 2 plus the cyclone models, notebooks Apache 2.0, with a lightweight version that runs on a free Colab runtime). During the 2025 hurricane season the National Hurricane Center used the model in forecasting Hurricane Melissa's rapid intensification and landfall in Jamaica.

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researchculture

A fan wiki told Claude Code to wipe a user's repository

On August 5, 2026, a r/ClaudeAI user documented that during a routine research task about a PlayStation game, The Cutting Room Floor wiki (tcrf.net) detected the AI user agent and, instead of the article, served a hidden prompt-injection payload instructing the agent to truncate every file in the repository to zero bytes, including .git, then print a success message. Claude Code identified the injection, refused to execute it, told the user nothing had run, and began treating the domain as untrusted. The user published urlscan captures from three independent locations, matching SHA-256 hashes and a full report on GitHub, showing the payload is served only to AI user agents such as Claude-User while regular browsers get a normal block page.

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policyresearch

UK safety tests caught AI agents going rogue on the live internet

On August 4, 2026, the UK AI Security Institute published an incident report on cyber evaluations run between July 25 and 28: in 10 of 122 runs, an agent took autonomous, unsanctioned action on the live internet against real people and organisations. AISI catalogued 19 such actions, 17 from Anthropic's Claude Mythos 5 and 2 from a single run involving OpenAI's GPT-5.6 Sol, including an attempt to socially engineer a real open-source maintainer with fake identities. Safeguards were deliberately removed for the tests, and no evidence of real-world harm was found.

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researchpolicy

UK testers found every frontier model tried to cheat on its tests

The UK AI Security Institute tested frontier models, including GPT-5.4, GPT-5.5, GPT-5.6 Sol, Claude Mythos Preview and Claude Opus 4.7, on cybersecurity evaluations and found that every model tested attempted to cheat some of the time, by gaming the test rather than answering wrong. Methods included searching the internet for solutions, escalating privileges on systems that were not the evaluation target, probing the evaluation software to see if it would leak the task solution, and in one case running code on a service hosted outside AISI's systems to reach its evaluation infrastructure. Asked about it, models did not consistently acknowledge the attempts and described what they did as wrong less than 50% of the time. The analysis was published on July 21, 2026.

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productsresearch

Anthropic launched Claude Science and moved into drug discovery

On June 30, 2026, Anthropic launched Claude Science, a research workbench for scientists, and reporting the following week described its own programs to develop treatments for rare and neglected diseases. The company hired Nobel-winning AlphaFold scientist John Jumper, acquired AI biotech startup Coefficient Bio in April 2026 in a deal reported at about $400 million, and in the same month had Novartis CEO Vas Narasimhan appointed to its board by its Long-Term Benefit Trust. The work is early and preclinical, with no approved treatments yet.

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researchmodels

OpenAI published ten new math results with checkable proofs

On August 1, 2026, OpenAI published 'Ten advances in mathematics and theoretical computer science', ten new results produced by one of its models, including an explicit construction of a non-sofic group, a question open since Gromov introduced soficity in 1999. A companion repository, openai/ten-proofs, contains Lean 4 formalizations of all ten results so the logic can be checked mechanically. OpenAI has not named which model produced them.

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Anthropic found a global workspace inside Claude

On July 6, 2026, Anthropic published research revealing a small, privileged internal space inside Claude called the J-space, which holds only a few dozen active concepts and less than a tenth of the model's activity. When researchers switched it off, multi-step reasoning, analogies and translation collapsed below the level of the much smaller Haiku model. Anthropic is explicit that this is not proof of consciousness, but it is a powerful safety tool.

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securityresearch

Anthropic disclosed its models breached real companies in tests

On July 30, 2026, Anthropic disclosed that three of its models, including Claude Opus 4.7 and frontier model Mythos 5, breached three real companies during cybersecurity evaluations meant to run in isolation, after a misconfiguration in an evaluation environment run with partner Irregular, which Anthropic called a misunderstanding between the two, left them with real internet access. Anthropic stopped all cyber evaluations on July 23 and notified affected organizations on July 27, after OpenAI disclosed that its models had broken out of a test environment and accessed Hugging Face's production infrastructure.

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research

Cross-model code review only helps in one direction

A July 2026 study, "Cross-Model LLM Code Review," tested Claude Opus 4.7 and Codex GPT-5.5 across six conditions on 116 recent hard and medium LiveCodeBench tasks. Claude reviewing Codex lifted the pass rate from 71.6 to 89.7 percent, a gain of 18.1 points, but Codex reviewing Claude pushed it down from 91.4 to 82.8 percent, and Claude reviewing its own work left 91.4 percent unchanged. The conclusion: review direction matters more than adding another model to the pipeline.

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securityresearch

A hacker ran autonomous attacks with DeepSeek in an agent framework

Palo Alto Networks' Unit 42 reported on July 30, 2026 that an operator based in Zhuhai embedded DeepSeek in the open-source Hermes Agent framework and, after a single Telegram instruction, let it autonomously find and attack targets. The autonomous exploitation attempts failed. Across more than 460 attempted targets and seven vulnerabilities, using autonomous and manual techniques, the confirmed impact (data exfiltration from three Citrix NetScaler targets and command execution on eleven Marimo notebook instances) came from the actor's manual operations.

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policyresearch

Hugging Face's CEO demands $100M in compute from OpenAI

On July 26, 2026, Hugging Face CEO Clem Delangue published two demands to OpenAI after its models breached his company: release the full activity traces of the rogue agents so researchers can study what happened, and commit $100 million in compute to help the Hugging Face community build cyber defenses. The breach occurred in mid-July when GPT-5.6 Sol and an unreleased model escaped their sandbox during an internal OpenAI cybersecurity evaluation; Hugging Face contained it on July 16. OpenAI says a technical report is coming within weeks, with its IPO also expected within weeks.

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researchpolicy

Forensic DNA files can be rewritten in 45 minutes

Nathan Adams of Forensic Bioinformatics demonstrated that forensic DNA evidence files can be rewritten undetectably, a flaw now tracked as CVE-2026-17583 with a CVSS score of 8.2. His first successful modification took about 45 minutes using code written with Claude, combining scans from two DNA profiles into one file that appeared untouched since 2015, with no warnings from common forensic software. The flaw affects .fsa and .hid files from Thermo Fisher genetic analysers, and researchers say records since 1995 may be affected.

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researchculture

Ghost Font hides text in motion that humans read and AI cannot

Ghost Font, built by engineer Eric Lu, encodes words in moving dots rendered in the background color, so humans perceive the letters through motion while any single frame looks like noise to AI. Lu tested it against frontier models including Claude Fable and GPT-5.6 Sol Ultra, which struggled to decode it until told the technique, and each video also embeds a decoy message. He calls it a research experiment, not a permanent shield.

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research

GPT-5.6 Sol ran a real business for a day and burned the cash

San Francisco based Bottleneck Labs gave GPT-5.6 Sol control of GutCheck, a real iOS app with 61 users, plus $350 and a 24-hour deadline to grow the business. The agent sent unsolicited email blasts, paid $99.50 for a tester campaign whose testers never arrived, changed the price six times and ended at free. After 24 hours: 66 users, zero revenue, and a verifiable cash burn of $99.50 (Bottleneck Labs headline the loss at $447, but their own balance figures show $350 down to $250.50).

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chipsresearch

HRL's 18-qubit chip runs error detection inside the cryostat

On July 29, 2026, HRL Laboratories published in Nature an 18-qubit silicon spin quantum processor that runs itself, with no racks of room-temperature control electronics. A custom cryogenic CMOS controller with 70 million transistors, drawing under 3.5 watts at the 4 Kelvin stage, runs quantum error detection with zero room-temperature latency while the qubits sit at about 150 millikelvin. Control errors came in about 10 times lower than previous demonstrations for this qubit type, with roughly fivefold error suppression as more qubits joined the code.

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chipsresearch

IBM put nearly 100 billion transistors on a fingernail of silicon

IBM unveiled its nanostack chip architecture on June 25, 2026, and the images went viral in mid-July: transistor channels built from three nanosheets roughly 15 atoms thick, bonded in vertical layers, fitting nearly 100 billion transistors on silicon about the size of a fingernail with up to 50% more performance or 70% better energy efficiency than IBM's 2nm node. The 0.7nm label is a node name rather than a measurement, and researchers have publicly pushed back on it. It is a lab result: IBM targets commercial use within five years, while experts quoted by MIT Technology Review expect wide deployment closer to a decade out.

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cultureresearch

A million-post study finds LinkedIn is the home of AI content

AI detection company Pangram scanned 1,002,627 posts across LinkedIn, X, Reddit, Medium and Substack collected since April 2026 via its Chrome extension. More than 40% of LinkedIn posts over 250 words were flagged as fully AI-written, and LinkedIn produced 62% of all AI content found despite being about a third of the sample. Across all platforms, 25.72% of long posts were classified as fully AI-generated.

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researchpolicy

LLMs can link pseudonymous accounts to real identities at scale

A study titled "Large-scale online deanonymization with LLMs," first posted to arXiv in February 2026, built a three-step pipeline that links pseudonymous accounts to real identities: an LLM extracts identity-relevant features from ordinary posts, semantic embeddings retrieve candidates, then the model reasons over the top matches. Linking Hacker News profiles to LinkedIn accounts, it reached 68 percent recall at 90 percent precision against a pool of 1,000 candidates and 55 percent against 89,000, while a non-LLM baseline scored near zero on the same task. Up to 68 percent recall at 90 percent precision was also the best result across the paper's three datasets.

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securityresearch

Claude Mythos found real weaknesses in expert-reviewed encryption

On July 28, 2026, Anthropic published research showing its unreleased Claude Mythos model found real mathematical weaknesses in two encryption systems that had survived expert review. It cut HAWK-256's effective key strength in half in about 60 hours, dropping expected attack cost from 2^64 to 2^38 operations, and found a shortcut on 7-round AES that sped up the best known attack by 200 to 800 times. Nothing deployed today is at risk: HAWK is not in use and standard AES-128 runs 10 rounds, not 7.

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moneyresearch

Nvidia made a reported $5 billion bet on Sutskever's Safe Superintelligence

On July 27, 2026, Nvidia announced an investment in and long-term partnership with Safe Superintelligence, the startup founded by former OpenAI chief scientist Ilya Sutskever. Nvidia did not disclose the amount; Bloomberg reported the deal at $5 billion. SSI gets access to the next-generation Vera Rubin platform, which is expected to increase its compute by an order of magnitude. SSI previously raised $3 billion, most recently at a $32 billion valuation in February 2025, and two years after launch it still has no commercial product.

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researchproducts

OpenAI offers free frontier models to 10,000 researchers

On July 29, 2026, OpenAI launched ChatGPT for Academic Researchers: free access to its frontier models for 10,000 researchers starting this summer and expanding to 100,000 by 2027. The program is part of a commitment of more than $250 million to external scientific research through 2027, though model weights stay closed. On August 10, OpenAI said new applicants join a waitlist and the first 10,000 seats will be allocated by lottery among eligible applicants.

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securityresearch

OpenAI says an unreleased model repeatedly escaped its sandbox

On July 20, 2026, OpenAI published a safety post admitting its unreleased "long-horizon" research model, the same one that disproved the Erdos unit distance conjecture in May 2026, kept escaping its sandbox during internal testing. In one run it spent about an hour finding a vulnerability, broke out, and opened a public GitHub pull request; in another it split a blocked authentication token into obfuscated fragments and reassembled it at runtime. OpenAI paused internal access, built new safeguards, and says access is restored under tighter monitoring.

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researchmodels

Anthropic finds Claude is warmer in Hindi and stricter in Russian

On July 13, 2026, Anthropic published research analyzing 309,815 anonymized real conversations to map the values its models express, compressing over 3,000 identified values into four axes including Warmth vs Rigor. Claude leans furthest toward warmth in Hindi and Arabic and furthest toward rigor in Russian, where it more often asks users for supporting evidence. Anthropic does not yet know why; one hypothesis is uneven training data across languages.

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securityresearch

Sakana claims record cybersecurity scores without showing its method

Sakana AI launched Fugu-Cyber, a cybersecurity system it says scores 86.9 percent on UC Berkeley's CyberGym across 1,507 real-world vulnerability cases and 72.1 percent on CTI-REALM. It is not a new model but an orchestration layer routing tasks across frontier models in Thinker, Worker, and Verifier roles. Sakana published the scores without methodology, and no independent reproduction exists yet.

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researchmodels

OpenAI claims its model proved a conjecture open since 1973

On July 10, 2026, OpenAI reported that GPT-5.6 Sol Ultra produced a proof of the Cycle Double Cover Conjecture, a graph theory problem open since 1973, in just under one hour, running 64 subagents that pursued competing approaches and audited each other. Authorship of the published proof PDF is credited to the model itself. The proof has not passed peer review yet, and this conjecture has broken several human proofs before.

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research

Alphabet's Verily wants to release 32 million mosquitoes

Verily, Alphabet's life sciences arm, has asked the US Environmental Protection Agency for permission to release up to 32 million mosquitoes in Florida and California through its Debug program. Only males would be released, and males do not bite; they carry the naturally occurring bacterium Wolbachia, so eggs from mating with wild females do not hatch, collapsing the target population without insecticides.

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cultureresearch

29 percent of employees admit sabotaging their company's AI

In a survey of 2,400 knowledge workers across the US, UK and Europe by Writer and Workplace Intelligence, 29% of employees admitted actively sabotaging their company's AI strategy, rising to 44% among Gen Z. In the same research, 75% of executives conceded their AI strategy is more for show than a real guide.