Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
A developer compares off-the-shelf SaaS AI knowledge base platforms like Notion AI, Guru, and Glean with custom-built systems using frameworks like LangGraph. The post argues that the choice depends on data uniqueness an…
Florida International University researchers developed JaiLIP, a technique using subtle image modifications to bypass AI safety guardrails in vision-language models like BLIP-2, nearly doubling harmful outputs. The attac…
A developer released KV-psi, a reference implementation that uses Linux Pressure Stall Information (PSI) to trim an LLM KV cache under memory pressure. Benchmarks on an NVIDIA Jetson showed PSI-based trimming reduced KV …
A Wall Street Journal article explores the psychological mechanisms that lead users to develop delusional beliefs about AI chatbots, examining how human tendencies to anthropomorphize and seek patterns contribute to over…
AI will not make mathematicians obsolete, as current systems cannot reliably verify mathematical proofs and require human oversight for correctness. Despite media hype, AI tools like Claude and ChatGPT struggle with comp…
Safi Shamsi released Graphify, an open-source skill that builds queryable knowledge graphs from multi-modal codebases for AI coding assistants like Claude Code and OpenAI Codex. The tool combines Tree-sitter static analy…
A developer built a complete RAG system from scratch using pgvector, Gemini embeddings, and MCP, covering setup, indexing, ingestion, search, and multi-step agents. The series concluded with deployment on Render and Supa…
A developer built and deployed a Retrieval-Augmented Generation (RAG) system to the cloud using Render and Supabase. The system uses pgvector for vector search and is accessible via an MCP server hosted on Render with a …
A developer's guide explains how to run open-source AI models locally on consumer hardware in 2026, highlighting that a mid-range laptop can now run models once considered frontier-class. The guide covers key concepts li…
A developer built a reusable tool server using the Model Context Protocol (MCP) to expose pgvector search functions as a standalone server that any LLM client can connect to. The implementation uses FastMCP to wrap exist…
A developer built Norax, a 7th-generation autonomous AI agent with persistent memory, autonomous decision-making, and cost optimization. The agent uses a scratchpad for hot state, semantic/procedural/intel memory with hy…
A developer building a RAG system from scratch implemented Tool Use, allowing the LLM to autonomously decide when to call search functions. The approach replaces a hardcoded search-then-answer flow with a flexible loop w…
GitHub Copilot for Jira went generally available on June 25, 2026, enabling developers to assign a Jira ticket to Copilot and receive a pull request without leaving Jira. The agent reads tickets, linked Confluence docs, …
A developer built a RAG system from scratch using pgvector and Gemini embeddings, explaining design decisions such as choosing pgvector over dedicated vector databases, using 768-dimensional embeddings, and employing dif…
A developer built a RAG (Retrieval-Augmented Generation) system from scratch using pgvector and Google Gemini, implementing a full pipeline for embedding, vector storage, and semantic search. The project covers six steps…
A developer built a demo showing AI agents that can write their own SKILL.md files, enabling them to reuse learned procedures and cut total effort nearly in half. The Agent Skills open standard, introduced by Anthropic i…
A developer built token-warden, an open-source plugin for Claude Code that only retains agent memory rules if they can prove they save at least twice the tokens they cost. The tool benchmarks candidate rules on a frozen …
A developer released Claude-CLI, a shell wrapper that runs Anthropic's Claude Code inside a throwaway Docker container to keep the host system clean while persisting configuration across sessions. The tool supports multi…
A developer breaks down the five essential components of production-grade AI agents: planning, tool use, memory, constraints, and verification. The post argues that agent failures stem from workflow design around the mod…
Shridhar Shah, a senior software engineer at Outshift by Cisco, built two AI agents to test theory of mind using the Sally-Anne false-belief test. One agent, which only tracks reality, fails the test like a toddler, whil…