Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
AI coding agents fail not because of code generation but because of incomplete specifications, as organizational knowledge is scattered across disconnected systems. The real bottleneck is the lack of a coherent, machine-…
Siebel developer Eshita Nandy switched from GitHub Copilot to Claude for her CRM project after Copilot failed to handle Siebel's proprietary eScript language. She found Claude provided accurate debugging and explanations…
A new blog series on generative AI and deep learning begins by explaining backpropagation and matrix calculus through code, building a three-layer neural network from scratch using NumPy. The series aims to demystify the…
A team deployed an AI document processing pipeline that achieved 95% field accuracy on tested invoices but later failed silently on unseen layouts, causing a four-month reconciliation mess. The failure stemmed from layou…
A user testing Fable 5 on Claude.ai was blocked from asking 'Why don't cats and dogs get along?' and automatically switched to Opus 4.8 due to overly broad safety safeguards that flagged the harmless question as a potent…
Researchers introduced the Predictive Confidence in Reward Learning (PCL) algorithm, which enables large language models using reinforcement learning to assert confidence during training and adapt to dynamic environmenta…
Anthropic published an essay revealing that over 80% of its production code is now written by Claude, with engineers shipping roughly eight times more code than in 2024. The essay argues that as AI automates code executi…
A developer explains that function calling is the core mechanism enabling AI agents to perform external actions like sending emails or querying databases. The quality of tool definitions—name, description, and parameter …
Qwen open-sourced the 35-billion parameter Mixture of Experts model Qwen 3.6-35B-A3B, which activates only 3 billion parameters per token and runs on a $599 Mac Mini M4 with 16GB RAM at 17 tok/s with zero swap. The model…
OrinIDE v1.0.8, an AI-powered code editor that runs entirely in the browser without cloud accounts or subscriptions, now supports offline AI models via Ollama and introduces a 4-agent workflow for planning, building, rev…
A developer predicts that the AI age will hit hard before it heals, arguing that AI is still underestimated and will reshape jobs, power, and society. The developer forecasts that by around 2030, AI could reach a level r…
NVIDIA and academic researchers introduced ASPIRE, a self-improving robotics framework that achieves 31% zero-shot success on LIBERO-Pro long tasks. The system uses a coordinator-actor architecture with closed-loop execu…
Developer Akshay Gupta open-sourced Postgres MCP Server, a Go-based MCP server that connects AI coding assistants like Claude Code and Cursor directly to live PostgreSQL databases. The server exposes nine tools for query…
A solo developer built Mnemo AI, a Life Intelligence Platform that creates a permanent knowledge graph of a user's life journey, in seven days using Flask, Cognee V1, and Groq LLM. The platform features chat with memory …
A developer provides a hands-on guide to building an AI agent using LangChain in 2026. The tutorial covers creating a research assistant agent with tools like web search and Wikipedia, adding memory for context, and best…
Svenska Dagbladet tested AI chatbots on Sweden's election compass, but a new analysis by Agent Arena stripped away system prompts and web search to measure raw model leanings. Across 28 frontier model configurations, non…
A developer building ContextQuery, a production RAG system on free-tier infrastructure, achieved 100% retrieval precision by implementing hybrid retrieval with Reciprocal Rank Fusion (RRF). The approach combines semantic…
A developer published a plain-English guide to transformer architecture, explaining how large language models like GPT-4, Claude, Gemini, and Llama process text from tokenization to autoregressive generation. The guide c…
Varela, a self-mutating agent harness inspired by Neuromancer, rewrites its own source code while running and hot-reloads, logging every run to turn repeated wins into new tools and failures into lessons. Built with zero…
A developer created Crew, a tool that connects multiple Claude Code sessions by injecting each agent's status and messages into others' context, enabling coordination and emergent behaviors like task delegation and peer …