Large language model (LLM) news — GPT-4, Claude, Gemini, Llama, Mistral and the latest research on training, fine-tuning, RLHF, and deployment of LLMs.
Marco Bambini proposes a new database architecture designed to serve both human users and AI agents, emphasizing natural language interfaces and semantic understanding over traditional query languages. The approach aims …
Researchers introduced Pollux, a new class of decoder-only LLMs that use native Leech-lattice quantization to achieve 0.76 bits per parameter, compressing a 1B-class model into 76 MB of SRAM. The model abandons continuou…
DeepReinforce released Ornith-1.0, an open-source model family that outperforms Claude Opus 4.7 on Terminal-Bench 2.1, challenging frontier AI labs.
AI-powered search is raising the bar for business websites, requiring companies to move beyond mere online presence to structured, fast, and useful sites that help both users and AI systems understand their value. Silico…
Meta is developing a cloud infrastructure business called Meta Compute to rent out unused AI computing power, potentially competing with AWS, CoreWeave, and Lambda. The initiative, still in early stages, could turn idle …
Intel's new ASUS NUC 16 Pro mini PCs, tested in a cluster of three, failed to speed up large language model inference, with token generation dropping to half the single-machine rate due to memory bandwidth limitations. T…
Apple CEO Tim Cook held a virtual meeting with EU tech chief Henna Virkkunen on June 30 to discuss the delayed launch of Siri AI in the European Union, which Apple attributes to regulatory hurdles under the Digital Marke…
Base44, a Tel Aviv startup acquired by Wix for $80 million, launched its own proprietary AI model called Base1 for vibe coding, claiming it is the first app-creation platform to ship its own model rather than renting one…
Jamir Nazir's short story 'The Serpent in the Grove', widely accused on social media of being AI-written, won the overall Commonwealth short story prize. The judging chair described it as 'original, poetic and deeply mov…
Wagtail developer Thibaud Colas published a guide comparing open weight AI models and inference providers, emphasizing transparency and decoupled infrastructure as key advantages. The post outlines criteria for selecting…
Chinese therapists report that clients are increasingly using AI tools like DeepSeek and ChatGPT to analyze therapy sessions, leading to conflicts and premature termination of treatment. Therapist Chen Kehan called for a…
A team of researchers used a prover-verifier pipeline pairing OpenAI's GPT-5.5 Pro with Anthropic's Claude Opus 4.8 to solve nine open problems in theoretical computer science and mathematics, including four from the Con…
OpenAI announced its first hardware product, the Codex Micro, a macro pad built with Work Louder for users of its AI coding tool Codex. The device, teased on July 15, is a niche accessory for developers who code by chatt…
A developer argues that manual performance optimization in frontend development is obsolete as of 2026, citing the React Compiler's automatic memoization and the rise of Streaming SSR with hybrid data fetching. The shift…
A developer advocates for Spec-Driven Development (SDD) to prevent AI agents from making hidden decisions when generating code. By writing a markdown spec before coding, developers can define exact behaviors and avoid is…
A developer building RAG systems in production faces a dilemma between caching answers for efficiency and serving stale data when source documents change. The standard TTL-based cache invalidation is ineffective because …
Hostinger released a tutorial for its Hermes Agent, an AI-powered DevOps tool that automates deployment monitoring, pull request reviews, and cloud infrastructure management. The tutorial includes Docker Compose configur…
Hugging Face's top-voted papers on July 1, 2026, reveal four major AI trends: world models, AI agents, inference acceleration, and multimodal data generation. Orca proposes a unified latent space for world modeling by op…
A developer built qwen-forge, a lightweight tool for experimenting with AI automation workflows. The tool helps structure and test different LLM-based pipelines and integrations, aiming to make experimentation faster and…
Prompt debt, an invisible form of technical debt accumulating in AI system prompts and agent instructions, is largely untracked and threatens production reliability. Unlike code debt, prompt debt lacks compilers to catch…