Opinions
Publishing Isn’t Melting Down. AI Is Just Rearranging It.
Author and blogger Nicholas C. Rossis argues that the publishing industry is not undergoing a “total meltdown” but rather a…
Engineering
Don’t Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Researchers demonstrate that layer dropout, largely abandoned in modern LLM pretraining recipes, actually improves training efficiency and enables valuable post-training…
Engineering
MaxKernel: Agentic Kernel Generation for TPUs
Researchers introduce MaxKernel, a multi-agent system for generating high-performance custom kernels for TPU accelerators using large language models paired with…
Engineering
τ^τ-Bench: An Environment for End-To-End, Realistic Agent Construction
Researchers introduce tau-squared-Bench, a benchmark that evaluates whether AI coding agents can build complete, production-ready customer-service agents under realistic client-engagement…
Engineering
Iris: Climbing to the Search Frontier
Researchers present Iris-mini and Iris-pro, two search agents trained at 35B and 397B parameter scales, along with the full data…
Engineering
Dr. Claw: An AI Scientist Workspace for Vibe Research
Researchers introduce Dr. Claw, an open-source workspace that wraps existing command-line coding agents, such as Claude Code and Gemini CLI,…
Engineering
Bilevel Coordinated Reflection: A Game-Theoretic Approach to Multi-Agent LLM Systems
Researchers propose a game-theoretic framework for understanding and improving multi-agent LLM systems in which an orchestrator decomposes tasks for a…
Engineering
When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference
A new study isolates how quantization interacts with recurrent neural network memory, introducing the concept of recurrent-state write-back to describe…
Engineering
Group Adaptive Clipping Policy Optimization
Researchers introduce Group Adaptive Clipping Policy Optimization (GAPO), a modification to Group Relative Policy Optimization methods used in reinforcement learning…
Engineering
Locked at the Entrance, Open Inside: Where RLVR Narrows the Solution Space
A new study investigates why reinforcement learning with verifiable rewards (RLVR) improves single-sample accuracy while narrowing a language model’s solution…
Engineering
Beneath the Surface of Chains-of-Thought: A Mechanistic Interpretation of Reasoning Operations in LLMs
Researchers investigate whether the different functional operations that make up a language model’s chain-of-thought reasoning, such as problem formulation, goal…
News
Google Brings Lyria 3.5 Music Generation Model to the Gemini App
Google has released Lyria 3.5, its most advanced AI music generation model, in the Gemini app, Google AI Studio and…