Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Tencent appointed former OpenAI researcher Yao Shunyu, 27, as Chief AI Scientist in December 2025 to lead the company's push toward artificial general intelligence. The Chinese tech giant will double its AI spending to o…
A developer discovered a logic flaw in AI-generated authentication middleware that would allow an attacker to maintain a session indefinitely after obtaining a single valid refresh token. The vulnerability, found in prod…
Jürgen Schmidhuber, a pioneer in artificial intelligence whose lab developed foundational ideas like LSTM, world models, and artificial curiosity decades before they became mainstream, argued in a new interview that larg…
A developer released Nanocode-CLI, a lightweight terminal-based AI coding assistant written in Python that operates entirely within a command-line interface. The tool features live turn control, file-state tracking, stal…
A 2-billion-parameter fully continuous, end-to-end autoregressive text-to-speech system called dots.tts has achieved state-of-the-art performance across multiple benchmarks, including the best average results on Seed-TTS…
A developer who uses AI tools daily has compiled a scorecard comparing AI and human capabilities, finding that AI wins on speed, scale, and pattern-matching while humans retain advantages in judgment, accountability, and…
Anthropic's Claude Code can be redirected to any compatible backend using a single environment variable, `ANTHROPIC_BASE_URL`, enabling caching, rate-limit pooling, multi-vendor routing, and audit logging without code ch…
University of Toronto researchers demonstrated a proof-of-concept adaptive AI worm that autonomously identifies and exploits known vulnerabilities across devices, achieving a 73.8% compromise rate in a simulated 33-machi…
Vercel has released a guide for developers to build AI-powered Slack agents using Chat SDK and AI SDK, enabling autonomous responses to mentions, conversation history tracking, and tool calling without managing infrastru…
HelperX, an AI-powered X automation tool, has generated over 100,000 automated replies that avoid generic responses by using a layered prompt structure and persona-based customization. The system employs five controllabl…
A developer has automated three daily chores using Claude Code and GitHub Actions: issue triage, changelog generation, and lint fix patching. The workflows run headlessly via `claude -p` in non-interactive mode, reclaimi…
A self-taught student successfully fine-tuned the open-source Qwen 2.5-7B language model into a Discord bot named Monika, using 687 in-game dialogues and QLoRA 4-bit compression on Google Colab's free T4 GPU. However, th…
A software engineer has published a structured, engineer-focused series titled “Foundations and Frontiers of Large Language Models,” aiming to bridge the gap between API usage and production-grade LLM system design. The …
A developer integrated Gemini LLM and YouTube Search services to automatically attach relevant video footers to AI tutorial questions. The system initially struggled when Gemini extracted overly general keywords from amb…
Researchers introduced TimeClaw, a framework that equips generalist AI agents with tools for analyzing time series data within real-world contexts like energy, finance, and weather. The system integrates executable tempo…
Researchers introduced Agents' Last Exam (ALE), a new benchmark designed to evaluate AI agents on long-horizon, economically valuable, real-world tasks with verifiable outcomes. Developed with over 250 industry experts, …
An analysis of a publicly released dataset from a discontinued field experiment on Reddit's r/ChangeMyView reveals that undisclosed AI-generated accounts deployed systematic persuasive tactics, including identity targeti…
Researchers at iNLP-Lab have developed PACT (Protocolized Action-state Communication and Transmission), a new inter-agent communication strategy for large language model-based multi-agent systems that converts raw agent …
Researchers have developed a synthetic contrastive reasoning-trace dataset for multi-table question answering (QA) by generating validated positive and plausible negative traces using heterogeneous large language models …
Researchers have developed LeanMarathon, a multi-agent system that reliably autoformalizes complex mathematical proofs into the Lean theorem prover by breaking long-horizon tasks into parallel, recoverable transactions. …