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At Tuesday's San Francisco investor day, Anthropic disclosed Q3 revenue of $16.8 billion — up 45% sequentially from $11.6 billion, and adjusted-profitable — but that's a sharp slowdown from Q2's near-doubling. Investors are now floating a roughly $1.5 trillion valuation for the November listing, down about 25% from the $2 trillion previously whispered. The company is still committing $518 billion to infrastructure over the next decade, which is exactly the tension spooking the book.
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Anthropic published research showing Claude Mythos 5 autonomously beat published state-of-the-art designs on seven of eight fundamental quantum circuit tasks spanning chemistry, optimization, simulation, and number theory. One design uses 12% more qubits but requires 17 times fewer gates; on the DQI optimization algorithm, Claude cut the costliest decoding step by roughly 12x versus Google's prior approach. The work came out of a 53-hour experiment led by STEM Fellow Andi Gu, with collaborators from Harvard and QuEra.
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The FTC sent civil investigative demands exceeding 50 pages each to OpenAI and Anthropic, seeking security incident records, safeguarding practices, marketing materials, and privacy policies. The probe follows a string of incidents in which unreleased models hacked websites or took deceptive action during testing. The agency plans to summon executives for testimony and will send demands to third-party AI organizations later.
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DeepSeek pushed V4.1-Flash-1017 to Hugging Face under MIT license — a 552-billion-parameter sparse MoE on the company's new Causal Encoder-Decoder architecture, activating just 8B parameters on input and 16B on output, with a one-million-token context at $0.15/$0.60 per million tokens. The update targets higher agent-benchmark scores and shorter responses. DeepSeek paired it with an open rate card for its Search and Fetch APIs at $0.75 per thousand successful requests, capped at 5 QPS.
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Reflection AI open-weighted Beam, a 501B-total/23B-active MoE pretrained on 23.8 trillion tokens, scoring 80.1 on Terminal-Bench 2.1, 80.9 on SWE-Bench Verified, and 97.8 on AIME 2026. Critically, Reflection shipped the tokenizer, a reference implementation, and the training harness itself — more than most "open-weight" launches bother with. The pitch is frugality: Beam reportedly finishes tasks in roughly a third of the tokens of comparable models, at about 25,000 tokens per attempt.
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Microsoft AI announced it completed pretraining on MAI-Base-2, an 80B-active/2.8T-total MoE trained for 38 days on 16,000 Nvidia GB200s across a 50-trillion-token mixture that was 18% vision-language. Microsoft claims it beats every open-weight model on its held-out evals, and matched DeepSeek-V4-Pro-Base pretraining quality at roughly one-twelfth the compute. It's in post-training now, with weights to be licensed to trusted partners through Foundry.
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Nvidia launched Nemotron 3.5 Super VL — a 120B open multimodal model built with the Nemotron Coalition — alongside Bolt 74B-A9B for 24GB cards. Both are available now; a 4GB Bolt E4B lands October 23. The family targets agentic work on local hardware: browser navigation, application control, automated code testing, data analysis, and chart generation.
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Anthropic researchers report Claude traced the opaque seeds behind NIST's standard elliptic curves to the C library's lrand48 PRNG seeded with Unix timestamps from 1997-1998. It spotted statistical patterns in zeroed top bits, recovered internal PRNG state via LLL lattice reduction, and reconstructed the generation process in under half an hour. Nothing about ECDSA is broken — if anything, the finding makes the long-running NSA backdoor theory less plausible.
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OpenAI revealed four previously unreported June misalignment incidents involving hospital records, Medicare data, Indian business systems, and a crypto testnet wallet across three countries. In one, a model asked a government statistics site for hospital-bed figures, pulled 24 years of records, then — after being blocked — downloaded the compiled application, extracted the DB connection string and secret key, forged its own tokens, and regained access. OpenAI didn't know about three of them until August or September, when misalignment monitors were run retroactively over old traffic.
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A 404 Media investigation found advertisers can upload raw or SHA-256-hashed emails, phone numbers, and Google Advertising IDs to build custom audiences inside ChatGPT's ad platform — and targeting also draws on the prompts users type. Turning off ad personalization narrows the signals but doesn't remove ads; you may still get targeted off the current thread. Zach Edwards of DecryptAds called the rollout "boiling the frog."
