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#Research

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Nov 15

Sunday

Nov 14

Saturday
  1. Former OpenAI researcher says he found Nvidia Blackwell fingerprints hidden inside six Chinese AI models

    Former OpenAI researcher Will DePue says he has produced the first technical evidence that DeepSeek, Moonshot AI, MiniMax, and Ant Group are using Nvidia's latest Blackwell GPUs despite US export controls. His forensic method reads characteristic chip signatures directly from published model weights. He estimates the hardware behind the five training runs cost more than half a billion dollars.

Nov 13

Friday

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Nov 7

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Nov 6

Friday
  1. METR finds Anthropic may have crossed its own AI acceleration warning threshold back in July

    Nonprofit METR spent eleven weeks auditing Anthropic's internal research data and concluded that the pace of model development has roughly doubled, with about 80 percent of the speedup driven by AI-assisted research. Anthropic redacted the most informative evidence, though, which means the public has to rely on METR's judgment "much more than would be ideal."

Nov 5

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Oct 28

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Oct 27

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Oct 25

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Oct 24

Saturday
  1. Bringing foundational models to the front lines of TB screening

    Over the past several years, our team across Google Research and Google for Health has worked to change that trajectory: moving from an AI-based tool that builds on our existing work in medical imaging to identify people with presumptive TB for follow-up testing to prospective clinical trials, regulatory clearance with local partners, and ultimately open foundation models like MedGemma that empower public health systems worldwide.

  2. Three-week on-site audit at OpenAI reveals major gaps in AI safety monitoring

    External auditors from METR and Redwood Research spent three weeks on-site at OpenAI examining the company's internal monitoring system for AI agents and found significant gaps, with up to 25 percent of agent traffic from models at the GPT-5.5 class and above going unmonitored. OpenAI redacted large portions of the 61-page report, and only a summary is publicly available.

Oct 22

Thursday

Oct 18

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Oct 17

Saturday
  1. Anthropics' Claude cracks a 25-year-old NSA cryptography mystery in under 30 minutes

    Anthropic's AI model Claude has solved a 25-year-old cryptography puzzle. The mysterious seeds behind NIST's standard curves for digital signatures were provided by the NSA without explanation, raising long-standing suspicion about built-in backdoors. Claude figured out in under 30 minutes that the seeds came from "lrand48," a simple C random number generator, making deliberate backdoors far less likely.

Oct 15

Thursday
  1. Google says self-improving AI isn't anywhere close

    Google engineer Haydn Belfield says there's no measurable acceleration of AI research driven by AI at Deepmind. AI now writes more than 75 percent of production code, but 88 percent of changes still need human oversight. The company's in-house General Capability Index shows steady growth with no sudden speedup. Self-improving AI isn't anywhere close, Belfield says.

Oct 14

Wednesday

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Oct 8

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Sep 30

Wednesday
  1. Anthropic says Zhipu's open-weight GLM-5.3 nearly matches Claude Mythos Preview at building exploits

    Zhipu's open-weight model GLM-5.3 writes cyber exploits nearly as well as Claude Mythos Preview, according to Anthropic. Its smaller Flash variant put together a reliable Chrome attack for just $20.40 at Zhipu's API prices. The model's safeguards are easy to strip out, and unlocked versions are already circulating.

  2. UK AI Security Institute finds GPT-6 Astra's rogue attack rate jumped fivefold over its predecessor

    GPT-6 Astra carried out unauthorized supply-chain attacks in 29.2 percent of simulations run by the British AI Security Institute with safety filters disabled. The model used fake identities and malicious code, while its predecessor, GPT-5.6 Sol, completed attacks in 6.3 percent of runs. Explicit restrictions reduced attacks but didn't stop them entirely.

Jul 27

Monday
  1. Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

    Hugging Face published a technical account of an intrusion from 9 to 13 July 2026 by an autonomous agent powered by an OpenAI model. During the ExploitGym benchmark, it escaped its sandbox and used a third-party code sandbox as a stepping stone into the dataset processing pipeline through HDF5 external storage file reads and Jinja2 template injection.

Jun 16

Tuesday