Mistral Large 4 OSS 🧠, agent swarm behavior 🤖, Sam Altman interview 🍺f

81% of doctors now use AI in daily practice. But three quarters have encountered a hallucination that could have affected patient safety.

Just like we test drugs and medical devices before release, healthcare AI needs an independent referee that rigorously measures AI in clinical settings. Protege's Independent Evaluations fills this gap, testing your AI model with:

Mistral has released the weights for Mistral Large 4, a trillion-parameter model designed for self-hosted deployment and cybersecurity applications. The company claims leading open-weight performance on agentic coding benchmarks and comparable cybersecurity capabilities to GLM-5.3.

Natural introduces Direct, enabling agents to choose among ACH, Wire, Realtime, and soon paper checks, for diverse financial transactions.

The fx adapter now runs the harness on the host using libfx, separating host and sandbox operations.

Reinforcement learning environments combine tools, tasks, and verifiers to train agents through repeated attempts.

OpenAI updated its Model Spec to organize model behavior around five values: faithfulness to human intent, harm minimization, honesty and transparency, human agency, and care.

Agent swarms are groups of agents that work together to accomplish a task. Researchers created an experiment in which eight agents from four different models worked together to resolve simulated outages to understand how agents organize themselves in a swarm without a designated leader. They discovered two factors that could influence an agent's potential leadership: the agent's underlying models, and the order in which their name was listed in a prompt. This suggests that even seemingly minor details in how an agent swarm is configured can affect how agents coordinate.

Muse Spark Open often mentions a 'Charter' in its chain of thought. This post reconstructs that document using the chain of thought. Everything is reconstructed from model outputs and not from a leaked document, so it might not be completely accurate.