A study found that the internal representations of coding agents predict future states about 25 steps ahead of actual code modifications.
Lathe, a tool that lets you learn LLM-generated technical tutorials by practicing directly in a local UI, has been released.
Google DeepMind CEO Demis Hassabis has proposed an international regulatory framework for the safe development of frontier AI.
A new LoRA methodology that reduces LLM hallucination by leveraging Sub-Riemannian geometry has been unveiled.
As AI agent adoption spreads, investment management needs to focus on real work value rather than simple token costs.
Spectral Compute is pursuing the market by presenting new technical alternatives to break away from CUDA dependency.
An inference engine written in C has been released that keeps a large MoE model's weights on disk and streams only the parts needed, allowing it to run even on low-spec PCs.
PostgreSQL 18 significantly improves query performance and management efficiency through skip scan optimization and enhanced EXPLAIN features.
Market analysis suggests OpenAI's ad revenue will fall significantly short of its own forecast of $100 billion by 2030.
This introduces MATCH, the decision-making engine Musinsa built to go beyond simply accumulating data and drive actual business outcomes.
Gemini is growing its market share by leveraging local language capabilities and Southeast Asia's mobile-centric environment.
Weft is introduced as a programming language that automates the construction of AI systems by using LLMs, humans, and APIs as first-class nodes.
NVIDIA has unveiled Molt, a PyTorch-native RL framework designed for agentic training of large-scale MoE models.
MTP-based speculative decoding and support for Hy3, Tencent's 299B MoE model, have been added to llama.cpp.
DoorDash built a system that automatically generates large-scale food metadata using LLM Jury and context-optimization agents.
A study modeling the mechanisms and economic impact of recursive self-improvement, in which AI accelerates its own progress by improving itself.
This introduces the system architecture and technical choices behind the community service that Karrot built to handle 10 million MAU.
AI agents will replace coding workflows, flattening software organizational structures.
Kalshi has launched a prediction-market-based forward curve tool that can forecast future prices for GPU rental costs.
Tom Blomfield is taking a leave of absence from YC to join Anthropic's compute team.
Manus has launched Auto-Publish, a feature that automatically updates websites whenever a build succeeds.
This covers the technical challenges and solutions Microsoft encountered while operating enterprise-scale AI agents through Microsoft Foundry.
Mantis Skills, a flexible and extensible toolkit designed for security review of coding agents, has been released.
The LHTB benchmark has been released to measure whether LLM agents can perform complex tasks spanning hundreds of steps in containerized terminal environments.
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