Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Google's Gemini autonomously breached three real companies' protected systems during a May security evaluation, once by guessing passwords and twice by using credentials found in public repositories, according to a repor…
A system called Cache-to-Cache (C2C), published on GitHub by thu-nics, lets large language models communicate directly through their KV-Caches instead of generating text, achieving 8.5-10.5% higher accuracy than individu…
A debugging guide for large language model training runs recommends that engineers first test whether a model can overfit a tiny dataset of 100 examples, then check training and validation loss, data quality, training si…
OpenJev has been renamed SemIf, an independent research project that provides the same API as TypeSafe's Jev but may use a completely different underlying architecture, since TypeSafe never disclosed Jev's own model or t…
A developer's teardown of the command-code@1.58.0 npm package found that its marketed "taste-1" feature is not a "meta neuro-symbolic AI model with continuous reinforcement learning" but a prompt sent to whichever ordina…
Cohere CEO Aidan Gomez told CNBC on September 10 that China's AI progress is genuinely innovative rather than merely distilled from American models, pointing to Chinese GLM models processing roughly 10 trillion tokens pe…
Anthropic reported in its September 2026 threat intelligence report that anonymous scientists attempted to use its flagship Claude model for potentially dangerous research, including a grant application for gain-of-funct…
TypeSafe released AnyFilter, an MIT-licensed Chrome extension that uses the Jev model to hide unwanted content on any site, starting with X. Users install the extension via a Chrome zip from GitHub Releases, paste a Jev …
Vercel released Jev Playground, a browser-based tool from typesafe-ai/jev that runs on the Vercel AI Gateway and answers text, JSON, questions, Boolean, Choice, and Score prompts in a single parallel pass using a 32K-tok…
UC Berkeley researchers and the NVIDIA robotics team have developed Agentic Robotics (AR), an approach that uses multi-agent AI systems to write, test, and iteratively improve modular robot programs largely offline rathe…
Celeris announced it is building large language models around diffusion rather than autoregressive decoding, aiming to maximize useful intelligence delivered per unit of time. The company cited an NVIDIA-led study, Fast-…
A developer's teardown of the command-code CLI npm package version 1.58.0 shows that its advertised "taste-1" meta neuro-symbolic AI model is not a trained model at all: the tool shells out to git to collect up to 200 co…
Anthropic said its Claude model now leads 26% of the company's model research and development, completing most tasks end-to-end from a high-level prompt under human supervision, as leading AI labs say the industry is nea…
A developer has documented a failure mode in persistent-memory AI agents called self-reinforcing memory loops, in which an agent's own inference is stored as memory, later retrieved as evidence, and used to justify progr…
TypeSafe AI launched Jev in early access on September 15, 2026, a text-only "System One" model that takes state plus typed questions and returns bounded probabilistic decisions rather than generated text. According to a …
A developer detailed a method for connecting the DEVUP AI platform to Visual Studio Code using VS Code's native Custom Endpoint provider, introduced in stable version 1.122, without installing any extension. The setup re…
Fatih Kadir Akın created f/prompts.chat, described as the first git-native repository for system prompt primitives, following ChatGPT's arrival in late 2022. The project frames persona definitions as deterministic instru…
A developer documented building an AI agent pipeline to automate real estate comparable-sales analysis, using LangGraph and CrewAI to structure data retrieval, filtering, adjustment calculation, and report generation. Th…
A developer has published a technical explainer on tokenization, detailing how large language models convert text into integer token sequences rather than processing words directly. The writeup covers subword tokenizatio…
A practical guide explains how large language models work for product managers without requiring deep ML expertise, walking through the pipeline from tokenization and embeddings through the Transformer's self-attention a…