Engineering
Cloudflare Introduces Kitesurf, an Agent-First Browser That Runs Inside Workers
Cloudflare introduced Kitesurf, a browser engine built from scratch in Rust and compiled to WebAssembly to run entirely inside Cloudflare…
Engineering
How Cloudflare Built Its Internal AI Engineering Stack on Its Own Platform
Cloudflare detailed the internal AI engineering infrastructure it built for its own workforce of 3,683 employees, using its own products…
Engineering
Circuit Tracing for the Rest of Us: From Probes to Attribution Graphs
Engineer Subhadip Mitra lays out a hierarchical framework for understanding AI model internals, moving from behavioral output analysis through attention…
Engineering
Meta Introduces Muse Glimmer, a 30B-Parameter On-Device Agentic Model
Meta introduced Muse Glimmer, a 30-billion-parameter open agentic model trained through a three-phase pipeline: pre-training via logit distillation from the…
Engineering
FP8 Training on AMD GPUs with TorchTitan and TorchAO: Upstreaming Performance Improvements
PyTorch engineers and AMD collaborators upstreamed FP8 training optimizations for AMD Instinct GPUs into TorchAO and TorchTitan, building on techniques…
Engineering
Mechanist: AI as a Scientific Instrument for Discovering the Mechanisms of Intelligence
Researchers introduced Mechanist, an agentic system designed to autonomously discover the mechanisms underlying AI intelligence by combining an interpretability-focused knowledge…
Engineering
SkillZip: Contract-Preserving Graph Compression for Scalable Agent Skill Libraries
SkillZip is a graph compression framework for agent skill libraries that operates at the section level rather than treating each…
Engineering
Poor Man’s Agentic Modeling: Simulating Large LLM-Agent Societies on a Laptop
Researchers introduced a methodology for efficiently simulating large-scale LLM-agent societies by substituting expensive individual language-model agents with low-parameter surrogate models…
Engineering
Self-Evolving Embodied Agents via Skill-Harness Evolution
The paper presents SHAPER, a framework that lets embodied AI agents improve their performance without updating any model weights. With…
Engineering
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
Researchers introduced a test-time capability transfer method in which a stronger AI model constructs an inference-time harness that assists a…
Engineering
Sleeper Agents and How to Tame Them
Researchers at TNG Technology Consulting demonstrated how hidden malicious behavior can be embedded into large language models through reinforcement learning,…
Engineering
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution
The paper introduces OpenART, an open-ended arena for scalable agent red teaming that evolves adversarial test environments and comprises over…