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Topic: "biological-ai"
OpenAI releases Deep Research API (o3/o4-mini)
o3-deep-research o4-mini-deep-research gemma-3n flux-1-kontext-dev gpt-4o alphagenome openai google black-forest-labs deepmind sakana-ai higgsfield-ai huggingface ollama multimodality model-releases agentic-ai reinforcement-learning instruction-following model-architecture model-optimization image-generation biological-ai multi-agent-systems model-integration demishassabis hardmaru osanseviero clementdelangue
OpenAI has launched the Deep Research API featuring powerful models o3-deep-research and o4-mini-deep-research with native support for MCP, Search, and Code Interpreter, enabling advanced agent capabilities including multi-agent setups. Google released Gemma 3n, a multimodal model optimized for edge devices with only 3GB RAM, achieving a top score of 1300 on LMSys Arena, featuring the new MatFormer architecture and broad ecosystem integration. Black Forest Labs introduced FLUX.1 Kontext [dev], a 12B parameter rectified flow transformer for instruction-based image editing, comparable to GPT-4o. DeepMind unveiled AlphaGenome, an AI model capable of reading 1 million DNA bases for gene function prediction, marking a breakthrough in AI biology. Sakana AI presented Reinforcement-Learned Teachers (RLTs) to enhance LLM reasoning, achieving 86.1% on MiniF2F with efficient compute. Higgsfield AI released Higgsfield Soul, a high-aesthetic photo model with 50+ presets for fashion-grade realism. Additionally, Google launched the Gemini CLI, an open-source AI agent for terminal use with free Gemini 2.5 Pro requests.