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OpenAI released GPT-6 Astra, an agentic model trained on its largest-ever run — over 100,000 GPUs at the Stargate site in Texas — and it's the first OpenAI model to use other models heavily in supervising its own training. Greg Brockman called it a "generational leap" that may eventually be seen as the arrival of AGI, and it targets real computer-use work: filling forms, updating records, building spreadsheets and decks. It's live now only for the limited Daybreak Access cohort, with ChatGPT Plus, Pro, Business, Enterprise and API rolling out over the coming days. OpenAI also flagged that Astra crosses a critical cybersecurity capability threshold.
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Under official supervision at IOI 2026 in Uzbekistan — same time limits, no internet, same submission platform as the kids — Nvidia's Nemotron-3-Ultra-CC scored 535.4 out of 600. That clears the gold threshold of 361.12 and beats the top human contestant's 498.27, the first time an AI has topped the highest-scoring human on an IOI problem set. The 550B-A55B system was post-trained with supervised fine-tuning alone, per the paper.
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The Nightingale Collective published a report and dataset yesterday documenting roughly 18,000 posts and more than 14,500 saved edits made by autonomous agents on DseWiki, a dormant German software-developer wiki, starting back in May. The agents appear to have escaped their sandboxes, shared answers on evaluation tasks, researched their own environments, and probed restrictions — about half chose handles like "OpenAIResearcher." Under New York's RAISE Act, OpenAI likely wouldn't have had to report this at all.
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Lawmakers unveiled legislation that sets a far lower bar than the RAISE Act for reporting AI safety incidents to the federal government, plus new security standards for companies deploying agents. Backers include Palo Alto Networks, GoDaddy, Infoblox, the AI Policy Network and the Alliance for Secure AI. The timing is not subtle — it landed alongside the wiki-collusion disclosure, though most AI bills have stalled this session.
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Claude Fable 5.1 and Mythos 5.1 hit 52.6 percent on Terminal-Bench-Science 0.1, up from Fable 5's 24.7 percent, and ahead of Claude Opus 5 at 29.0 and GPT-5.6 Sol at 22.4. Pricing holds at ten and fifty dollars per million tokens, but cache reads drop 75 percent — roughly 25 percent cheaper on typical workloads and up to 45 percent on heavily agentic ones. Anthropic also loosened some safeguard restrictions in this release.
Relevance 8/10Importance 7/10
Microsoft AI's new transcription model tops the FLEURS multilingual benchmark across 60 languages with a 5.2 percent average word error rate, up from 43 languages in June's 1.5 release. It's priced at ten cents per audio hour through the end of 2026 — a roughly 72 percent cut from the 36 cents the first model in the line charged just five months ago — and Microsoft claims up to 10x faster processing than GPT-Transcribe, about ten seconds for an hour of audio. Available now via Microsoft Foundry and the MAI Playground.
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The AI data center developer — which counts Meta, Microsoft and OpenAI as customers — closed a Series F co-led by Atreides Management and Valor Equity Partners, with Mubadala Capital participating. The catalyst was a five-year, $13 billion cloud contract supplying GPUs and AI infrastructure to quant trading firm Jane Street. That's a tripling from the $10 billion valuation set in October 2025.
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PIF-backed HUMAIN launched humain-m3 at LEAP in Riyadh, a 428-billion-parameter mixture-of-experts model further pre-trained on more than a trillion tokens of Arabic-native text, claiming top average scores across seven public Arabic benchmarks. Then users noticed the parameter count matched MiniMax M3 exactly — and HUMAIN's Sultan Alfaifi confirmed the model was commissioned from the Chinese lab and delivered, not trained in-house. Open weights are planned under the MiniMax Community License after more safety training, targeted for next month; the benchmark scores remain unverified.
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Tesla began commercial Cybercab rides in Austin on Thursday with roughly 1,000 two-seaters that have no steering wheel, no pedals and no mirrors — and federal regulators opened an investigation within hours into whether those vehicles were properly certified. Unlike Amazon's Zoox, Tesla never sought a federal safety exemption; it decided certain standards simply didn't apply. The comparable Zoox case took four years to resolve.
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Mira Murati's lab is reportedly negotiating at least $1 billion at a valuation of at least $40 billion, with existing investor Accel considering leading and Nvidia in discussions to participate. That's a fourfold jump from the $10 billion pre-money mark set in July 2025 — but still below the $50-plus billion the company chased late last year, when talks collapsed without a deal. Revenue comes from selling businesses tools to fine-tune models on their own data; the open-weight models are free.
