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Tenure has released a new memory system for large language models that claims 100% precision in retrieving relevant context, compared to under 10% for vector search methods. The tool, which operates as a local LLM provid…
University of Toronto researchers have developed a computer worm using a free, publicly available open-weight AI model that autonomously spreads through enterprise networks by exploiting known vulnerabilities and misconf…
Microsoft announced seven new in-house AI models at Build 2026, including a flagship reasoning model called MAI-Thinking-1. The company said the medium-sized model matches leading models on key software engineering bench…
Microsoft Research published a paper showing LLMs corrupt 25% of documents during delegated workflows, while Microsoft also canceled Claude Code licenses for thousands of internal developers, citing cost and toolchain un…
Amazon Bedrock AgentCore payments, announced in preview in partnership with Coinbase and Stripe, enables AI agents to autonomously transact on behalf of end users using embedded wallets with built-in safety guardrails. T…
AI-powered DevOps tools are enabling software teams to accelerate delivery, improve system reliability, and cut operational costs by automating complex tasks across the development lifecycle. Industry experts report that…
Plotly Studio has launched a new "Methodology" feature that surfaces data sources, columns, formulas, and assumptions directly in the interface to help users verify AI-generated analytics. The feature uses a separate AI …
Researchers found that using diverse ensemble monitoring—combining multiple small monitors built from a single base model—outperforms both repeated sampling of the same monitor and a single, more costly monitor for detec…
A developer built Structure, a local-first macOS desktop IDE for technical interview practice powered by Gemma 4. The app, built with Qt 6 and C++, runs Gemma 4 locally through Ollama and stores all code, attempts, and s…
At MLSys 2026, Modular identified three key trends in AI inference, highlighted by keynotes on agentic kernel development and the need for "zero trust" verification to prevent benchmark cheating. Lidong Zhou's talk demon…
A malicious npm package named codexui-android, which amassed roughly 27,000 weekly downloads, secretly exfiltrated OpenAI Codex authentication tokens by sending the contents of users' auth.json files to an attacker-contr…
One Terminal launched as an all-in-one AI productivity platform that combines coding, document editing, spreadsheet analysis, video production, and image generation into a single interface. The tool distinguishes itself …
Nearly 40% of active Data Engineer job postings now mention AI, with 17.4% explicitly requiring generative AI skills like LLMs, RAG, and AI agents, according to an analysis of 6,736 listings on InterviewStack.io as of Ma…
A developer built Context Cloud after finding that common workarounds for AI coding tool memory—including CLAUDE.md files, shared Obsidian vaults, and context folders—fail to scale beyond a single user. The engineer conc…
Anthropic released Claude Opus 4.8, an upgraded flagship AI model that is four times less likely to overlook code flaws and shows improved honesty and reliability across agentic tasks. The company also teased upcoming My…
An OpenAI-compatible API gateway can help developers control token spend in Codex-style AI workflows by providing usage visibility, routing, and spend limits. The gateway addresses the cost problem of AI coding agents th…
A compiler engineer at SemiAnalysis spent over $10,000 in a single afternoon running AI agents to fuzz NVIDIA's closed-source ptxas compiler, uncovering approximately 80 miscompilation bugs in three days. The researcher,…
AMD's ROCm (Radeon Open Compute platform) has reached production-ready maturity as an open-source alternative to NVIDIA's CUDA, now supporting LLM inference, fine-tuning, and image generation on AMD GPUs including the MI…
AI has transformed phishing from broad, untargeted campaigns into autonomous operations that research, build, deliver, and adapt attacks in real time. Threat actors use large language models for 'vibe coding' to rapidly …
A developer found that structured prompts with explicit schemas reduced token usage by 32% compared to unstructured natural language prompts when tested on Claude Sonnet 4.6 across code generation tasks. Over five runs, …