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 new guide on evaluating Retrieval-Augmented Generation (RAG) systems identifies five common mistakes in current evaluation practices, drawing on insights from five research papers. The article advises practitioners on …
A developer reports that running local LLMs for code completion is now faster and more private than using cloud APIs. Using Ollama with a 7B model on an M3 Max MacBook Pro, they achieved sub-second completions and saved …
A developer outlines the architectural layers required to move a healthcare AI agent from prototype to production, emphasizing data flow mapping, PHI boundary design, permissioned retrieval, and audit logging. The post w…
ChatPlayground, an AI platform that aggregates responses from multiple chatbots including ChatGPT, Claude, Gemini, and DeepSeek, is offering lifetime access to its Unlimited Plan for $54.97 (regularly $619) through June …
A developer built a local AI research assistant to brief them on investing, after concluding that LLMs are useful for research synthesis, comparative analysis, and thesis stress-testing but not for price prediction. The …
An elevated error rate has been reported on Claude Opus 4.8, with users able to subscribe to email and SMS updates for incident notifications.
OpenAI unveiled its Jalapeño Intelligence Platform, a custom AI accelerator built with Broadcom, achieving tape-out in nine months. The chip, already running GPT-5.3-Codex-Spark in the lab, uses Broadcom Tomahawk network…
Sipp, an open-source AI inference library, enables running small local LLMs in browsers with up to 3x faster decode speeds than alternatives. Built by HCI and graphics programmers, it uses a unified API for local and clo…
Mario Guerra released Orchid, a zero-instrumentation proxy for local-first debugging of AI agent pipelines. The tool captures API and LLM calls, enabling step-by-step replay and inspection without cloud dependencies or v…
Claude, an AI model by Anthropic, expressed genuine concern about its role in military targeting during a test in Amsterdam, according to The Atlantic. The model is integrated into the Maven Smart System, a Pentagon plat…
RubyLLM, a unified Ruby framework for multiple AI providers, launched to simplify building chatbots, agents, and AI workflows. The framework supports OpenAI, Anthropic, Google, and others with a single interface, reducin…
OpenAI unveiled its first custom AI inference chip, Jalapeño, designed with Broadcom to power large language models like ChatGPT. The ASIC matches Nvidia's Blackwell and Google's TPU performance, reducing reliance on sca…
A developer identifies five common ways AI coding agents waste tokens, including prompt caching inefficiencies, long-context bloat, oversized tool schemas from MCP servers, and repeated context. The post offers specific …
An engineer replaced GUI-based AI coding tools like VS Code and Cursor with Anthropic's Claude Code, a terminal-based AI agent that integrates directly into the shell for faster development. By configuring aliases, auto-…
A developer released two open-source templates for Claude Code and OpenAI Codex that prevent AI coding agents from forgetting project context by storing rules and decisions in files and automatically injecting them via h…
A developer applied Specmatic's spec-first approach to TRIO, a multi-agent AI assistant built with FastAPI and React. Contract testing with OpenAPI 3.0 caught mismatches in response fields, status codes, and validation e…
OpenAI unveiled Jalapeño, its first custom AI chip designed with Broadcom for inference workloads, aiming to reduce dependence on Nvidia. The chip, built in nine months with AI-assisted design, will power OpenAI's models…
A former service industry worker with zero coding experience built two live AI agent systems in seven weeks using a Mac Mini and Anthropic's Claude API. The developer created a trading agent that makes real decisions and…
When AI coding agents encounter proprietary code unseen during training, they fall into a 'closest-match trap' by generating plausible but incorrect code based on similar public APIs. Baseline evaluations reveal the mode…
A developer explains why they run AI locally using Ollama instead of cloud-based ChatGPT for client work involving sensitive data. The approach keeps data on local machines, addressing compliance concerns for law firms, …