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Anthropic is adjusting Claude Code's usage limits, a move that looks like an increase but effectively reduces access for many users.
New method tracks agent state, not conversation history, for massive cost and efficiency gains.
New research frames AI agents around specific domains, aiming for enhanced reliability and reduced emergent behaviors.
Google DeepMind CEO Demis Hassabis outlines a comprehensive, layered approach to AI safety, emphasizing research, collaboration, and rigorous testing.
OpenAI's language model has proven a complex mathematical conjecture, signaling a new era for AI in scientific discovery.
Direct measurements on an RTX 3090 reveal surprising electricity costs for running local LLMs, challenging assumptions about model size and efficiency.
A developer demonstrates an AI agent that leverages reinforcement learning to optimize model training, achieving significant cost savings.
The latest advancements in AI accelerators are pushing the boundaries of computation, demanding new architectural approaches.
As AI proliferates, demonstrating genuine human effort and intent becomes crucial for trust and value.
A novel protocol prevents AI agents from incurring unexpected costs for users, addressing a critical failure mode in autonomous systems.
New research introduces AI agents that can mentally simulate future code execution, improving task completion by 40%.
The AI research lab argues that the future of AI development must center on augmenting, not replacing, human ingenuity.
Developers are finding Claude AI repeatedly uses the phrase 'load-bearing' in unexpected contexts. Here's why and how to fix it.