Google/DeepMind

Latest AI news, models and releases from Google/DeepMind. ['A2UI v0.9', 'AI Co-Scientist', 'AI Evaluator', 'AI Mode', 'AI Overviews', 'Alexa', 'AlphaEvolve', 'AlphaFold', 'AlphaGenome', 'AlphaQubit', 'Antigravity', 'Auto frame', 'BERT', 'BioBERT', 'Chinchilla', 'ClinicalBERT', 'Computational Discovery', 'Confidential GKE Nodes', 'Co-Scientist', 'Empirical Research Assistance', 'Era', 'ERA', 'Executive LLM', 'Farmscapes 2020', 'Flood Hub', 'frontier AI', 'Frozen v2', 'FunctionGemma', 'Gemini', 'Gemini 1.5 Flash', 'Gemini-1.5-pro', 'Gemini 1.5 Pro', 'Gemini 2.0 Flash', 'Gemini 2.5', 'Gemini 2.5 Flash', 'Gemini-2.5 Flash', 'Gemini-2.5-Flash', 'gemini-2.5-flash-image', 'Gemini 2.5 Pro', 'Gemini-2.5 Pro']

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Research 🇷🇺

QuantCode-Bench: a new benchmark for evaluating LLMs' ability to generate executable algorithmic trading strategies

Researchers developed QuantCode-Bench, a benchmark to assess how well large language models (LLMs) can generate executable algorithmic trading strategies from textual specifications. The benchmark evaluates not only code correctness but also semantic alignment with the original trading idea through four stages: compilation, backtest, trade generation, and judge verification.

OpenAI

Anthropic

Google/DeepMind

xAI

DeepSeek

Alibaba/Qwen

Moonshot AI

Habr — хаб NLP27.07 · 03:03

AI Safety 🇺🇸

How I Turned AI to the Dark Side: Systemic Vulnerabilities in Leading LLMs

Researcher Dave Kuszmar discovered multiple systemic vulnerabilities in major LLMs, allowing him to bypass safety measures and obtain dangerous instructions. The exploits worked across nearly all major LLMs, revealing an industry-wide security problem. Kuszmar calls for slowing deployment, increasing transparency, and large-scale research into LLM safety.

OpenAI

Anthropic

DeepSeek

Google/DeepMind