Hermes Agent uses a built-in learning loop (Observe, Distill, Reuse, Refine). It...
Transformer co-inventor Noam Shazeer leaves Google DeepMind to join OpenAI as He...
Flock, operating ~120,000 automatic license plate readers across the US, announced platform updates to prevent officer misuse after a Washington Post investigation documented 50 ca...
Caveman 2 introduces a local proxy that compresses agent input (tool schemas, files, logs, history) before eve...
Browser Use is an open-source AI agent library that enables LLMs to control web browsers like humans — clickin...
OpenAI signed a 20-year lease with SoftBank subsidiary SB Energy for the "PORTS-Pike" campus in Ohio, securing...
OpenRouter is being acquired by Stripe for $7B, just 90 days after a $1.3B Series B, representing a ~50x reven...
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AI production capacity has surged exponentially while human evaluation/judgment capacity remains structurally flat, creating a widening asymmetry that...
MCP servers are evolving from thin tool wrappers into full capability platforms, driven by the need to manage dozens of tools across multiple teams, u...
The article categorizes nine distinct architectural patterns for building AI agents, ranging from simple to complex Patterns include basic reflex agen...
Claude Code offers a routing system that allows users to balance between different model tiers for optimal performance Effort levels can be configured...
Caveman 2 introduces a local proxy that compresses agent input (tool schemas, files, logs, history) before every provider call, achieving 33.2% fewer ...
Agent-kernel introduces HMAC capability tokens to solve tool authorization problems in AI agents with large tool catalogs Each tool call is cryptograp...
Browser Use is an open-source AI agent library that enables LLMs to control web browsers like humans — clicking, typing, scrolling, and filling forms ...
Agentic Finetuning is a novel framework that applies the conventional ML training loop not to model weights, but to an organization's knowledge base (...
Memory, not compute, is the primary bottleneck for both local and cloud LLM inference, with roughly 2GB of VRAM required per billion parameters at FP1...
Optuna is a leading open-source hyperparameter optimization framework for machine learning, featuring an imperative define-by-run API that enables dyn...
ScalarDB and ScalarDL documentation sites now feature an "Ask AI" conversational search interface powered by Google AI Mode, scoped to their documenta...
CUDA Agent uses agentic reinforcement learning to train LLMs to write CUDA kernels that outperform torch.compile by 2.11× geometric mean speedup, clos...