AI Coding Live News

Anthropic: Claude Helps Map the First Prokaryotic Vault Particle Structure; Purification in ~90 Minutes, First Model in ~34 Hours

On November 4 Anthropic's biology team reported that Claude helped determine the first 3D vault structure from a prokaryotic/phage system (protein L05). Vendor-reported timing: ~90-minute purification and a first model in ~34 hours, plus an open discussion of mistakes and the multi-agent research workflow.

Anthropic: Claude Helps Map the First Prokaryotic Vault Particle Structure; Purification in ~90 Minutes, First Model in ~34 Hours

Key Takeaways

  • Official Anthropic research: Claude helped determine the first 3D prokaryotic/phage vault structure (protein L05)
  • Vendor-reported timing: purification cut from ~3 days to ~90 minutes; first model ready in ~34 hours
  • L05 forms a ~9.5 MDa shell of 96 chains with ~25% more volume than mammalian vaults
  • Anthropic also discloses failures: a medium additive cost ~2 weeks; an early cryo-EM map was mirrored
  • For developers: a concrete case of a science multi-agent harness with human oversight, not biology trivia
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SemiAnalysis releases GDPx, an agentic benchmark of 206 tasks across 11 high-value domains where the top model, Claude Opus 5.5, scores just 12%

On Nov 2, semiconductor and AI research firm SemiAnalysis released GDPx, a benchmark of agentic capability across 11 domains: chip design, cybersecurity, biology, finance, legal, quant trading, recursive self-improvement (RSI), hardware design, materials science, alignment and software engineering. Its 206 tasks were built by 14 specialist data partners, with SemiAnalysis doing final QA. On the official leaderboard Claude Opus 5.5 leads at 12.0%, followed by Gemini 4 Carbon at 10.9% and GPT-6 Astra at 9.6%; nearly every model scores 0 on finance and legal. SemiAnalysis says safety classifiers drag down Opus 5.5 and GPT-6 Astra, and plans a new version every 3–6 months. All scores are as reported by SemiAnalysis.

SemiAnalysis releases GDPx, an agentic benchmark of 206 tasks across 11 high-value domains where the top model, Claude Opus 5.5, scores just 12%

Key Takeaways

  • Scale: 11 domains, 14 data partners and 206 tasks, with a default time limit of 8 hours per task (GDPx site)
  • Leaderboard (as reported by SemiAnalysis): Claude Opus 5.5 12.0%, Gemini 4 Carbon 10.9%, GPT-6 Astra 9.6%, Muse Wonder Full 9.0%, Claude Fable 5.1 8.5%, GPT 6.1 Sol 8.4%, Claude Sonnet 5.5 8.2%
  • Lower tier and open weights: DeepSeek 4.1 Flash 1017 5.4%, GPT-6 Luna 5.1%, Grok 4.7 3.9%, GLM 5.3 2.7%; almost every model scores 0 on finance and legal
  • Method: each model runs in its native harness where one exists (Claude Code for Opus, Codex for Astra, Antigravity for Carbon), otherwise OpenCode; the headline is pass@1 over three attempts with all domains weighted equally (SemiAnalysis blog)
  • By domain: Opus 5.5 wins quant trading, hardware and chip design; Gemini 4 Carbon wins biology and software engineering; GPT-6 Astra wins RSI and materials science; Muse Wonder Full is the strongest cyber model
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Anthropic opens Life Sciences Verification Program with first access to Mythos

Anthropic opened applications for the Life Sciences Verification Program (LSVP), letting life science professionals use its models—including Mythos for the first time—with new safeguards designed for biology work. The program launches in beta for academic labs, startups, pharma companies, and other teams, with plans to expand access to individual Pro and Max plans over time.

Key Takeaways

  • Anthropic opened applications for the Life Sciences Verification Program (LSVP), letting life science professionals use its models—including Mythos for the first time—with new safeguards designed for biology work. The program launches in beta for academic labs, startups, pharma companies, and other teams, with plans to expand access to individual Pro and Max plans over time.
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Claude speeds up 30+ open-source biology models 4x and backs a protein design contest

Anthropic reports Claude optimized inference for more than 30 open-source biomolecular models, making them about 4x faster on average, in part by writing custom GPU software. The company is open-sourcing the optimization code and partnering with Adaptyv Bio to experimentally validate 5,000+ protein designs, with up to $1M in Claude credits plus compute and DNA from partners.

Key Takeaways

  • Anthropic reports Claude optimized inference for more than 30 open-source biomolecular models, making them about 4x faster on average, in part by writing custom GPU software. The company is open-sourcing the optimization code and partnering with Adaptyv Bio to experimentally validate 5,000+ protein designs, with up to $1M in Claude credits plus compute and DNA from partners.
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Claude speeds 30+ open-source biology models 4x; Anthropic open-sources the code

Anthropic said Claude optimized inference for more than 30 open-source biomolecular models, making them about 4x faster on average, partly by writing custom GPU software. The company is open-sourcing the code and partnering with Adaptyv Bio on a protein-design competition that will experimentally validate over 5,000 designs, with up to $1 million in Claude credits.

Key Takeaways

  • Anthropic said Claude optimized inference for more than 30 open-source biomolecular models, making them about 4x faster on average, partly by writing custom GPU software. The company is open-sourcing the code and partnering with Adaptyv Bio on a protein-design competition that will experimentally validate over 5,000 designs, with up to $1 million in Claude credits.
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Anthropic publishes its most detailed threat intelligence report

Anthropic published its most detailed threat intelligence report to date. It covers attempts to misuse Claude for cyberattacks, influence operations, surveillance, biology, and building weapons, and says every operation in the report was disrupted and used to strengthen safeguards.

Key Takeaways

  • Anthropic published its most detailed threat intelligence report to date. It covers attempts to misuse Claude for cyberattacks, influence operations, surveillance, biology, and building weapons, and says every operation in the report was disrupted and used to strengthen safeguards.
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xAI: LatchBio finds Grok 4.6 alone above 50% on both biosecurity refusal and routine bio tasks

On September 1, xAI said LatchBio's independent BioSecBench-Refusal analysis found Grok 4.6 the only tested system scoring above 50% on both refusing disguised hazardous biology requests and completing routine biological work. Across harnesses, the trial-weighted harmonic mean averaged about 62.1% (roughly 59.2% red-team refusal and 64.8% routine completion). On BioSecBench-Surveillance it averaged about 53.5%, behind Opus 5 and ahead of GPT-5.6 Sol. LatchBio's blog says refusals are largely model-reasoning driven rather than API filters, without clear degradation on other biology benchmarks.

Key Takeaways

  • Only tested model above 50% on both refusal and routine biology tasks
  • ~62.1% harmonic mean; ~53.5% on Surveillance, behind Opus 5
  • LatchBio: refusals mostly model-reasoning driven without clear bio capability loss
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