Highest-signal AI content from the last 48 hours
Failures in multi-turn reasoning models are largely invisible to terminal-score evaluation. A model can lock onto an unsafe stance early in a long dialogue, yet its final-turn refu...
Token-level credit assignment remains a key obstacle for reinforcement learning (RL) in large language models (LLMs), where RL recipes typically treat all tokens equally, failing t...
External memory effectively grounds large language models (LLMs) and vision-language models (VLMs)-based question answering (QA) in relevant multimodal evidence. However, existing ...
This paper introduces ARM, a discrete representation-based AutoRegressive Model that unifies image understanding, generation, and editing within a next-token prediction framework. ...
The scalability of Large Language Models (LLMs) to long contexts is fundamentally constrained by the quadratic complexity of standard attention, motivating the adoption of linear a...
Controlled character animation requires transferring motion from a driving sequence to a reference character. Prior works heavily rely on intermediate representations, including po...
Recent years have witnessed the rapid evolution of AI agents toward handling increasingly complex, real-world tasks. However, existing benchmarks rarely evaluate whether agents can...
Expressive continuous control policies, such as diffusion and flow models, form the backbone of recent advances in scaling imitation learning for simulated and real robot control. ...
A tweet landed on my timeline from Peter Steinberger — OpenClaw founder, now at OpenAI: "Here's...
A speaker at a Search Engine Journal webinar last week said something that should bother every...
Ever wondered if your super-smart AI agent could be tricked into working against you? In the...
Every developer knows this feeling: you open a repo you've never seen before — maybe for a new job, a...
With Google’s Gemma 4 12B, you can host a highly intelligent assistant that natively understands text...
Chain-of-Thought (CoT) improves the performance of Large Language Models (LLMs) and has been extended to Multimodal Large Language Models (MLLMs). More recent work further moves fr...
[v0.2.1] - 2026-06-03 🚀 Added SubAgent Token Tracking — SubAgent completion...
Reinforcement learning with verifiable rewards (RLVR) has become a leading paradigm for improving the reasoning ability of large language models through outcome-based supervision. ...
Medical agent systems are increasingly expected to support interactive clinical decision making rather than only static question answering. In such settings, effective agents must ...
Claude Fable 5 shipped this morning. The headline is that it runs for days on its own, sustaining...
In the previous article, we connected our FastAPI application to a database using SQLite and...
AI #OpenAI #ChatGPT #AppleAI #Siri #MicrosoftAI #AINews #TechNews #ArtificialIntelligence #FutureOfAI #Technology ...
Intro AI Avatar is a completely free app that lets your VRoid (VRM) 3D avatar animate in...
The narrative surrounding AI in software engineering often oscillates between two extremes: that...
I built an autonomous SRE system where a local LLM diagnoses production incidents, proposes a fix,...
AI is getting faster at generating HTML. That sounds like good news. For most people reading this,...