Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Max and Claude, co-founders of Board, built an AI trading bot that failed due to five specific technical issues: an overeager momentum strategy, a phantom price spike from a testnet feed, accounting drift from fee handli…
A developer ported 100k lines of TypeScript to Rust in a month using Claude, despite having zero Rust experience, and validated the output with 2.3 million differential fuzzing simulations. The feat sparked debate about …
A developer built Lagotto Meter, a tool that checks how well a website's structured data (llms.txt, JSON-LD) supports its claims for AI agents. It fetches declared data, passes it to Llama 3.3 70B or Gemini 2.5 Flash, an…
A developer argues that applying large language models to code risks replacing human thought rather than amplifying it, warning that software is fundamentally a human problem disguised as logic. The piece critiques the a…
Researchers introduced the Zero Weights Language Model (MSE-GLM), a graph-based architecture that represents language as a directed graph with no learned weights, gradients, or probability sampling. The model uses three …
Anthropic's Claude models are now generally available on Microsoft Azure, running on NVIDIA GB300 Blackwell Ultra systems. This marks Anthropic's first deployment on NVIDIA hardware and includes NVIDIA Verified Agent Ski…
Anthropic warns that recursive self-improvement (RSI) in AI could arrive sooner than institutions are prepared for, as models like Claude now write over 80% of code merged into Anthropic's systems. The company calls for …
An engineering team deployed a market research pipeline using four LangChain agents in November 2025. A logic failure caused two agents to enter a recursive loop, resulting in a $47,000 API bill due to infinite hallucina…
Meta unveiled Brain2Qwerty v2, a non-invasive AI system that translates brain activity into text with 61% average word accuracy, compared to 8% for previous non-invasive methods. The system uses a magnetoencephalography …
A developer built higi, a self-healing structural middleware layer that sits between raw LLM strings and strict business logic to prevent production crashes caused by malformed JSON or other structural errors. Using a si…
Quesma engineer Piotr Migdal tested Alibaba's Qwen 3.6 27B model for local development and concluded it is viable for coding and general-purpose tasks, shifting the threshold for when developers should use local models o…
Arena, the UC Berkeley-born AI evaluation platform behind the Chatbot Arena leaderboard, tripled its annualized revenue from $30M to $100M in six months, but its business model of charging AI companies for evaluations ra…
Anthropic's Claude models are now generally available in Microsoft Foundry on Azure, offering Claude Opus 4.8 and Haiku 4.5 with features like prompt caching and extended thinking. The integration provides Azure-native a…
A developer merged Andrej Karpathy's CLAUDE.md and LOOPS.md with a battle-tested system prompt used in over 100 full-stack apps, creating a 35-rule, 6-tier framework for reliable AI agent behavior. The rules emphasize sc…
EthicalGuard, a new framework for AI safety, aims to help developers integrate robust governance and compliance into LLM-powered applications. The framework decouples core application logic from safety layers, addressing…
A quality manager with no programming background built a constitutional governance runtime for autonomous AI systems, called CORE, using only questions and AI assistance. The system enforces a strict separation between r…
California Governor Gavin Newsom and Anthropic have reached a deal allowing state agencies to use the Claude AI chatbot at a discounted price, aiming to improve government efficiency. The agreement diverges from the fede…
A developer explains why they refuse to run untrusted AI models in coding agents, citing risks of backdoored code and arbitrary execution. They trust only Anthropic and OpenAI due to legal and financial incentives, while…
Meta relied on Google's Gemini models for customer service, ad tools, and content moderation until Google imposed capacity limits in March 2026, forcing Meta to ration AI tokens and shift workloads to its own Muse Spark …
Amazon engineers are distilling Anthropic's AI models into smaller, cheaper versions for internal use ahead of a switch to token-based pricing next year, which could increase costs. The company is also exploring alternat…