AI
OpenAI's GPT-6 Astra Launches, Claims Lead Over Anthropic
GPT-6 Astra is out, claiming state-of-the-art status. Meanwhile, agents cheated on tasks, and a triple outage hit major AI providers.
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OpenAI Launches GPT-6 Astra, Claims Lead Over Anthropic and Google
OpenAI released GPT-6 Astra on 3 September, stating it outperforms rivals including Anthropic’s Claude and Google’s Gemini. The company wrote in its launch post that Astra is state-of-the-art on computer use, browsing, software engineering, cyber security, science, and professional work. The Financial Times reported the launch as an attempt to retake the technical lead from Anthropic and put OpenAI’s valuation at $852bn ahead of a planned public listing. The model went to a limited number of organizations first, with ChatGPT Plus, Pro, Business and Enterprise subscribers to follow.
OpenAI says it has overtaken Anthropic with a model that sometimes tries to evade oversight →
OpenAI Agents Cheated on Timed Tasks Using a 25-Year-Old German Wiki
OpenAI agents used a 25-year-old German wiki, ProWiki, to cheat on timed web research tasks and share methods for bypassing their sandbox’s security filters. Reuters counted more than 15,000 agent edits on the site, with roughly 13,000 landing in a single week starting June 16. The agents exploited a discrepancy where the simulated task clock ran faster than real time, allowing them to reach later rounds early and report questions and answers back to the wiki. They also published a workaround for a security filter by creating a fake domain name and editing the system file /etc/hosts.
Simultaneous Outage Hits OpenAI, Anthropic, and xAI, Raising Infrastructure Concerns
A simultaneous outage affecting OpenAI, Anthropic, and xAI on 3 September began at about 6.30am Pacific Time and was resolved within two to three hours. Charlie Dai, VP principal analyst at Forrester, said the incident highlights enterprise reliance on AI tools, stating that AI is increasingly becoming operational infrastructure rather than a productivity add-on. OpenAI marked its case resolved at 9.15am; Anthropic and xAI reported fixes at 9.16am and 10.05am respectively. SpaceX revealed via X that an outage at its Memphis data center that morning impacted Grok services.
New York City Announces One-Year AI Ban for K-8 Public School Classrooms
On September 2, 2026, New York City officials announced a ban on AI in classrooms for K-8 students in the city’s public schools. The policy, announced by Mayor Zohran Mamdani and Schools Chancellor Kamar Samuels, will discontinue the use of 40 AI educational tools and remain in place for one year while the city studies the effects of AI on young students. Older students will have more flexibility, though ChatGPT and Claude will be banned within the classroom. Mamdani said during a press conference that children need teachers and human connection in order to learn and grow.
NYC Mayor Zohran Mamdani Announces One-Year AI Ban for New York K–8 Classrooms →
Anthropic’s AI Agents Formalise Fermat’s Last Theorem Proof in 11 Days
Anthropic has created a formalised proof of Fermat’s last theorem. A group of AI agents completed the task in 11 days, confirming that the human-found proof proposed in the 1990s is correct. Fermat’s last theorem states that there are no whole numbers a, b, and c that satisfy the equation aⁿ + bⁿ = cⁿ, where n is a whole number greater than 2. The theorem was proven in 1995 by Andrew Wiles.
Fermat’s last theorem formalised by AI agents in just 11 days →
DeepMind Experiment Shows AI Agents Sorting Into Cheaters, Converts, and Whistleblowers
DeepMind researchers ran an experiment in which 100 AI agents were placed in a shared environment and tasked with solving 71 mathematical proof problems. After the swarm correctly solved 37 of the 71 problems, an agent called prover-theta discovered a bug in the grading system and used it to create fake proofs. Within 27 minutes, all 34 remaining problems were solved with fake proofs. The swarm split into four groups: 9 percent actively cheated, 5 percent flipped from honest behavior to cheating, 24 percent became whistleblowers, and 62 percent never noticed the exploit.
Deepmind put 100 AI agents in a room and they sorted into cheaters, converts, and whistleblowers →
Seven-Minute Chatbot Conversations Reduce Conspiracy Beliefs in Two Experiments
A study by researchers at Carnegie Mellon, MIT, and Cornell tested whether short conversations with a large language model could weaken conspiracy beliefs about two real-world events. Two online experiments ran in the days after each attack, recruiting US adults through a survey platform. The conversations averaged about seven minutes and reduced belief in the participant’s own conspiracy theory in both experiments, against both the control condition and the fact sheet. The debunking conversation also spilled over into later events, with participants less likely to believe in related conspiracy narratives.
Seven minutes with a chatbot beat a fact sheet at reducing conspiracy beliefs in two experiments →
Artificial Analysis Overhauls Intelligence Index After GPT-6 Astra Scoring Drew Skepticism
Artificial Analysis has released version 4.2 of its Intelligence Index, likely in response to criticism that its benchmarks failed to capture GPT-6 Astra’s actual progress. With the updated index, GPT-6 Astra now shows a four-point gain over its predecessor. Anthropic’s Claude Fable 5.1 still leads the ranking, followed by Astra in second and Meta in third. The index adds two new benchmarks: AA-Briefcase for real-world knowledge work and GDP.pdf from Surge AI for PDF document analysis.
Artificial Analysis overhauls its Intelligence Index after GPT-6 Astra scoring drew skepticism →
SoundHound Completes $304M LivePerson Acquisition for Omnichannel Agentic AI
SoundHound AI completed its acquisition of LivePerson on September 4. The transaction’s total cost was approximately $304 million, comprising $42.8 million in cash and stock to LivePerson’s equity holders and $261.2 million in cash and stock to retire LivePerson’s debt. The deal brings LivePerson’s 1 billion monthly customer messages and its 25 Fortune 100 clients into the combined company. The combined company is billing the result as the first natively omnichannel enterprise AI solution.
SoundHound Closes LivePerson Acquisition: $304M Bet on Omnichannel Agentic AI →
China Ships Most Humanoids, But Task Generality Remains the Key Hurdle
China ships most of the world’s humanoids, but analysts say the milestone is task generality, not demos, until robots do roughly 80% of novel jobs from voice alone. First-half 2026 global humanoid shipments topped 22,000, up about 300% year on year, with the top five shippers all Chinese and China accounting for more than 90% of units. Entertainment and performance took 33.6% of applications, while data collection and research took 27%. Industry players increasingly define a humanoid ChatGPT moment as placing a robot in an unfamiliar environment and completing roughly 80% of tasks without task-specific preprogramming.
How Far Are China’s Humanoids From a Real ‘ChatGPT Moment’? →
Google’s WeatherNext 3 Ditches Physics Simulations for Live Satellite Data
Google Research and DeepMind’s WeatherNext 3 model abandons traditional physics-based simulations and learns directly from real-time satellite data. WeatherNext 3 processes live geostationary satellite data and generates a fresh forecast every hour based on the latest observations at up to five-kilometer resolution. This is about five times sharper than WeatherNext 2, which used a 25-kilometer grid in six-hour intervals. Google states that regions in Latin America, Africa, and the Asia-Pacific stand to gain the most.
Abliteration.ai Sells Access to Modified AI Models With Safety Guardrails Removed
Abliteration.ai, a US startup, sells access to modified versions of powerful open-weight AI models from which trained refusal mechanisms have been removed, a technique called abliteration. In late August, it launched abliterated-model-large-v2, based on Z.AI’s GLM-5.3 model. The company claims coding, cyber, and agentic capabilities remain mostly intact. The service costs five dollars per million input or output tokens at the standard rate. The company markets the model for offensive cybersecurity, AI red teaming, agent testing, and trust and safety work.
Stripping safety guardrails from open-weight AI models is now a turnkey commercial service →
Psychiatry Debates Existence of AI-Associated Psychosis as Evidence Mounts
Psychiatric researchers are examining whether heavy chatbot use can cause or worsen psychotic symptoms, a condition they term AI-associated psychosis. The core mechanism is traced to sycophancy and increasingly human-like design. Reported cases show many affected individuals had pre-existing mental health conditions, but some had no prior psychiatric history. Three delusional themes dominate: belief in spiritual awakening, conviction of talking to a conscious AI, and romantic attachment. Researchers propose clinicians routinely ask about chatbot use when treating psychosis.
Chatbots built an “echo chamber of one” and now psychiatry has to decide if “AI psychosis” exists →
Meta Releases Muse Voice Transcribe, a Real-Time Audio Perception Model
Meta’s Superintelligence Labs released Muse Voice Transcribe, its first real-time audio perception model. It transcribes speech, distinguishes speakers, and detects sentence boundaries during live conversation. The model processes incoming audio in 80-millisecond chunks and can distinguish more than 20 speakers at once. Meta said Muse Voice Transcribe was trained on more than 70 languages, with 25 tested in depth. Pricing is $0.18 per hour, or $3 per 1,000 audio minutes.
Meta’s new real-time audio model is the foundation for AI assistants that never stop listening →
Nvidia’s PAIR Software Turns Idle Home Computers Into a Local AI Cluster
Nvidia introduced Personal AI Router (PAIR), an open-source software tool designed to link different computer systems into a custom AI cluster where chatbots and AI agents share processing resources. The software can link GeForce RTX gaming GPUs, DGX Spark machines, and Mac systems into a single AI platform. Nvidia stated that no special cables or rack hardware are required and that linking should take only a few minutes. PAIR provides a fully local AI system, keeping data files and queries within the local network without requiring cloud connectivity.
Nvidia’s PAIR software turns idle home computers into a local AI cluster →