
Gap narrows between open and closed AI models in cyber capabilities
Open-weight models like Deepseek V4.1 Flash reach 72.8% in Vals AI cyber benchmarks at $3 per run versus $22 for closed models.
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Open-weight models like Deepseek V4.1 Flash reach 72.8% in Vals AI cyber benchmarks at $3 per run versus $22 for closed models.

Latent Space interviews Fabian Theis about $1.8B Biohub funding for multi-scale biological data and challenges in perturbation prediction.

Village LLM Atlas shows closed models like GPT-6 and Claude Haiku 5.5 leading value across nearly all budgets.
Hidden Markov model predicts next adversary actions with 0.8 nats per step gain on CAGE 2 benchmark.

Senior product research engineer Chris Alexiuk promotes NVIDIA Nemotron open models for developers, emphasizing transparency and accessibility in AI.

Latent Space reports on frontier model capabilities for direct weight editing and multiple new AI model releases.

Attackers abuse stolen LLM credentials via LLM Mixers, reselling access while passing bills to victims across continents.

Stanford researchers tested 50 LLM claims and found 44% expired after an average of 15.7 months.
A Hacker News post criticizes Apple for blocking removal of on-device AI models in macOS 27.
A GitHub tool is presented to remove and disable Apple's macOS 27 AI models.

Anthropic and OpenAI release new AI models, reporting improved alignment but continued safety testing challenges and increased third-party evaluation efforts.
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