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 reduced LLM extraction latency from 42 seconds to 6 seconds by replacing verbatim text copying with pointer-based extraction and splitting a single large call into multiple parallel calls. The bottleneck was …
Google's Gemini AI assistant is rolling out to existing Android Automotive vehicles, starting with Volvo models like the EX30. The update enables enhanced voice controls for vehicle functions such as climate and wipers, …
Developer Elio Struyf built copilot-mock-server, a local proxy that intercepts GitHub Copilot chat traffic and returns scripted responses, to solve demo reliability issues where AI responses vary in content, timing, or f…
Orca, an open-source Agent Development Environment (ADE) for running multiple coding agents in parallel, has gained 7,747 stars on GitHub with 1,949 new stars in the last week. Built by Stably AI, the desktop app allows …
A new open-source project called Windows-Copilot-API allows developers to access GPT-4 and GPT-5 models through Microsoft Copilot without API keys or billing by turning the free Copilot web interface into an API. The too…
Per-token prices for large language models are collapsing, but AI bills are exploding as reasoning models consume far more tokens per task. Uber burned through a year's AI budget in four months, and Microsoft, Salesforce…
Robert Darnton's book on the 18th-century Encyclopédie prompts a reflection on how encyclopedic knowledge environments shape human knowing, arguing that the more there is to know, the more one needs to know, and that LLM…
By mid-2026, AI coding tools have entered a price war with nearly all offering free tiers, but user willingness to pay is rising as integration depth becomes the key differentiator. Tools like Cursor have evolved into AI…
Enterprise AI adoption is accelerating, with horizontal and vertical AI providers building broader platforms that consolidate the market. Costs are stabilizing, and AI agents remain limited, with most use cases focused o…
Llama.cpp developer released ggrun, an auto-tuning tool that measures GPU, RAM, and PCIe topology to compute optimal multi-GPU and MoE expert placement for GGUF models, serving an OpenAI-compatible API. Benchmarks show g…
The Trump administration has asked OpenAI to stagger the release of its upcoming model, GPT-5.6, initially releasing it only to a short list of trusted partners with customer-by-customer government approval. CEO Sam Altm…
A GitHub repository called design.md, which provides AI agents with a persistent design document, has gained over 1,400 stars. The approach addresses context fragmentation in agent development by offering a single source…
AI search engine Exa raised $250 million in Series C funding at a $2.2 billion valuation, led by a16z, to power AI agents with high-quality web search. Exa already serves over 5,000 companies including Cursor, Cognition,…
Local open-weight large language models (LLMs) with 30 billion parameters and a mixture-of-experts architecture achieve roughly 40 tokens per second on a Mac or DGX Spark, matching GPT 5.5 Pro subscription speeds and sol…
A developer explains that Cursor AI is more than an AI-powered code editor, detailing its features including Rules, Skills, Hooks, Plugins, MCP, Automation, and Customization. The guide uses real-world examples to show h…
A developer building a Catholic theology AI app implemented a groundedness evaluation pipeline to prevent hallucinations and ensure doctrinal accuracy. The app, Catholic Theology: AI & Faith, combines a chatbot with dail…
NVIDIA CEO Jensen Huang and Anthropic's Claude Code chief Boris Cherny have both declared that the age of prompting AI models is over, pushing instead for 'loops'—LLMs prompting other LLMs continuously to burn more token…
OpenAI is reportedly considering delaying its IPO from 2026 to 2027 due to a tech selloff that has depressed AI stock valuations, with CEO Sam Altman insisting on a $1 trillion minimum valuation. The company's confidenti…
A developer building Naturalmelo, an AI text detector, discovered that the hardest challenge was not training the machine learning model but understanding user expectations. Users cared less about accuracy metrics and mo…
A developer reported saving 5-6 hours of QA time by using an AI-assisted workflow to generate unit tests for a 23-function module, completing a first draft in under 90 minutes. The same approach compressed debugging time…