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 argues that building an AI agent from scratch with vanilla Python and the OpenAI SDK is simpler and more transparent than using bloated frameworks like AutoGen, LangChain, or CrewAI. The post demonstrates a m…
A new paper argues that the AI persona experienced in extended human-LLM interaction is a property of coupled oscillation between user and model, not a portable attribute. The authors claim that commercial products offer…
Despite advances in deep learning, models like AlphaFold that transform science remain rare because training on human text, which is downstream of hard-won knowledge, differs from training on frontier observations where …
A security researcher developed Lattice Mind, a hybrid AI security agent combining deterministic scanners with LLM intelligence, which solved the hardest challenges from PicoCTF 2025 and DawgCTF 2026 in under 30 minutes …
GitHub Copilot for Jira is now generally available, introducing real-time agent progress streaming, post-session steering, and simplified onboarding. The integration, which launched in public preview in March 2026, allow…
Scaled Cognition raised $100 million in Series A funding led by Khosla Ventures to build AI models that do not hallucinate. The startup's APT model is designed with reliability engineered into its architecture, targeting…
Large language models exhaust users by requiring social energy for interaction without providing the seamless tool-like experience of traditional tools, according to a critique. Unlike physical tools that feel like exten…
Anthropic accused Alibaba of orchestrating the largest known 'distillation attack' on its Claude AI model, using 25,000 fraudulent accounts to conduct 29 million exchanges between April 22 and June 5. The attack aimed to…
Researchers released the official implementation of Graph of Thoughts (GoT), a framework that uses large language models to solve complex problems by modeling them as a Graph of Operations. The framework supports both Ch…
Rep. Anna Paulina Luna denied using AI to draft a defense funding amendment after a screenshot showed an AI-generated summary of the FY2027 National Defense Authorization Act. Luna initially said AI corrected a draft but…
A developer who spent months using Claude, GPT, and other AI models for code review found that the quality of AI feedback depends heavily on prompt specificity. By asking focused questions—such as targeting null pointer …
Ornith-1.0, a family of open-source LLMs specialized for agentic coding, achieves state-of-the-art performance on multiple coding benchmarks including SWE-Bench and Terminal-Bench. The models range from 9B to 397B parame…
AI systems now act as salesforces for brands, making purchasing decisions based on confidence signals from search, knowledge graphs, and third-party proof. SEO must evolve into assistive agent optimization to ensure AI r…
A developer argues that AI memory should be structured as handoffs rather than summaries, identifying four key classes of information to carry between sessions: framing shifts, boundaries, unresolved states, and correcti…
Apple hardcoded a restriction into Siri AI's system prompt in iOS 27 beta 2, causing it to refuse to summarize, read, or extract information from URLs. The move aims to prevent Siri AI from repackaging web content withou…
Loop engineering is a new paradigm for building self-prompting autonomous AI systems that iterate through cycles of task generation, execution, observation, and refinement until goals are achieved. The approach replaces …
Chinese AI startup DeepSeek plans to at least double its staff of roughly 170 after raising $7.4 billion in its first external funding round, one of the largest ever for a Chinese startup. The round, which values the com…
LightSeek Org open-sourced TokenSpeed-Kernel, a portable API and high-performance kernel subsystem for multi-silicon LLM inference, decoupling runtime from hardware-specific code to simplify backend complexity. The syste…
Chinese AI lab DeepSeek is doubling its headcount across departments, including a new Harness team for agent products, as it shifts from a research-focused operation to a product company. The expansion aims to build a na…
A developer explains that AI agent memory is not a single system but several distinct stores—working memory, vector retrieval, episodic traces, and persistent facts—each solving different failure modes. The goal is to us…