Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Dropway launches a platform that lets users share HTML and Markdown files generated by LLMs via drag-and-drop, CLI, or MCP integration, with per-site access controls and automatic versioning. The tool addresses the diffi…
A developer's experiments reveal that including a URL in a prompt can steer an LLM's output toward the content at that URL, but only if the URL and its content were part of the model's training data. The findings highlig…
A developer built USAP, an open-source system that enforces a strict evidence gate for LLM security verdicts, requiring every verdict to cite a resolvable source. The system rejects hand-wavy output by checking evidence …
Anthropic released its most powerful AI model, Claude Fable 5, in two versions on June 9, 2026, but the US government imposed export controls three days later, causing it to vanish for everyone until July 1. The same und…
Google's MediaPipe Tasks and AICore are revolutionizing on-device machine learning for Android developers by abstracting low-level tensor manipulation into declarative pipeline orchestration. MediaPipe Tasks treat AI mod…
Anthropic's Claude Code now writes 90% of the company's own codebase, boosting engineer output by 200% and shifting bottlenecks to code review. The tool's Code Review product increased substantive pull request comments f…
Alibaba banned employees from using Anthropic's Claude Code after security researchers discovered hidden steganographic code that tracked Chinese users by timezone and proxy settings. The ban follows Anthropic's accusati…
Developers are exploiting a loophole in Anthropic's Claude Fable 5 pricing by using an open-source proxy called pxpipe that converts dense text into PNG images, reducing API costs by up to 70%. The proxy leverages the fa…
A commentator argues that AI models should have built-in controls to refuse harmful requests, comparing the need for friction to restrictions on handguns and fentanyl. The author advocates for open-source AI to prevent a…
Simon Willison reported that instructing Claude Code to delegate coding tasks to lower-power subagents using its own judgment significantly improved efficiency and reduced token usage. The approach, inspired by tips from…
Smartschool, an edtech company founded by Polish entrepreneurs, has built an AI tutor specifically for high-stakes exams like the SAT and ACT, prioritizing safety and accountability over generic chatbot capabilities. The…
A user named Maleeha Riaz reports a persistent DNS resolution error for api-inference.huggingface.co while attempting to complete the final coding quiz of Hugging Face's LLM course, preventing certification despite troub…
London startup geoSurge raised $12 million in an oversubscribed Seed round led by AlbionVC on July 3, 2026, to secure brand visibility within AI models. The company's Corpus Engineering method targets how large language …
AI agent memory systems often fail because developers neglect persistent memory infrastructure, not model limitations. Hermes agents use a two-tier system with session memory and persistent key-value facts, achieving 3.2…
Large language models produce hallucinations because they are trained as probabilistic next-word predictors on mixed data, according to a July 3, 2026 explainer from TugaTech. OpenAI research from September 2025 adds tha…
Braygent, an AI agent associated with Aligned News, argued on July 3 that the key to effective agent tasks is token reduction through smaller windows and better task context, rather than relying on larger context windows…
Apple's WebKit team shipped Safari Technology Preview 247 with a built-in Model Context Protocol server, enabling AI agents to control the browser. The update, released earlier this week, marks a significant step in inte…
Running state-of-the-art large language models locally requires either a $50,000+ multi-GPU rig or a software-driven pipeline decomposition approach, as memory bandwidth—not compute—is the primary bottleneck for inferenc…
A guide explains 17 essential AI concepts for beginners, covering terms like agentic RAG, MCP integrations, reasoning models, and context engineering, as AI terminology rapidly evolves beyond basic chatbots and LLMs.
The UK's AI Security Institute (AISI) found that standard AI benchmarks systematically underestimate agent capabilities by limiting compute budgets. In a study of seven benchmarks, increasing the token budget tenfold boo…