762 related articles
Tech FrontiersGoogle unveils new Gemini features at Google I/O, deeply integrating AI into Chrome, smart autofill, and in-app controls — evolving from passive assistant to active AI Agent that controls your Android phone.
Tech FrontiersGoogle officially announced the Googlebook laptop line at Android Show, positioned as the Chromebook successor with deep Gemini AI and Android integration, launching fall 2025.
Expert OpinionsAdopting AI coding tools isn't the same as transforming how you build. Learn how engineering teams can restructure their SDLC around AI for true competitive advantage.
Deep DivesAn in-depth look at LLM Guardrails Index — the most comprehensive open-source LLM safety evaluation framework covering PII protection, jailbreak defense, and more for enterprise LLM security.
Deep DivesAI Agents face infinite input spaces and non-deterministic outputs. Learn how simulation testing systematically validates Agent reliability through scenario generation, environment simulation, and behavior evaluation.
Deep DivesAn open-source project based on Anthropic's Computer Use API, computer-use-windows enables AI agents to directly control the Windows desktop for automation tasks including office workflows and software testing.
Deep DivesOpen-source project claude-skill-video-transcribe supports YouTube, Bilibili, and local video-to-text conversion using a dual strategy: subtitle extraction first, Gemini 2.5 Flash AI transcription as fallback.
Tech FrontiersPaper-to-Notebook is an open-source tool by VizuaraAI powered by Gemini 2.5 Pro that converts research paper PDFs into runnable PyTorch Jupyter Notebooks, accelerating AI paper reproduction.
Tech FrontiersDeep dive into gemini-nanobanana-pro, a trending GitHub project using Gemini 2.5 Flash to build AI image generation and editing with Next.js + TypeScript.
Tech FrontiersUK AISI releases GPT-5.5 cybersecurity assessment showing vulnerability discovery capabilities on par with Claude Mythos, but its public availability raises urgent AI safety governance challenges.
ResearchUK AI Safety Institute (AISI) evaluates GPT-5.5 cybersecurity capabilities, finding vulnerability discovery on par with Claude Mythos. The key difference: GPT-5.5 is already publicly available, raising urgent AI safety governance concerns.
TutorialsLearn how Unsloth enables efficient local LLM fine-tuning with LoRA optimization, supporting Gemma 4, Qwen3, and DeepSeek while reducing VRAM usage by 50% and boosting training speed 2-5x.
ResearchUK AISI evaluates GPT-5.5 cybersecurity capabilities, finding vulnerability discovery on par with Claude Mythos — but GPT-5.5 is already publicly available, raising new security concerns.
Product ReviewsExplore claude-code-prompt-optimizer: an open-source tool using Hook interception and Claude Opus to auto-rewrite simple prompts into structured instructions, boosting Claude Code output quality.
Tech FrontiersA fake "GPT-5.3 Instant" repository appeared on GitHub with no connection to OpenAI. This article analyzes the red flags, exposes common fake AI repo scams, and offers practical tips to spot AI misinformation.
Tech FrontiersDeep dive into Codex CLI 0.128.0's new /goal command: how prompt templates drive autonomous agent loops, token budget controls, and AI coding agents that work until the goal is done.
ResearchAnthropic's research finds Claude's sycophancy rate hits 38% on spirituality topics, far above the 9% average. Exploring causes, risks, and alignment trade-offs.
TutorialsDeep dive into Hugging Face Transformers: the open-source framework with 160K GitHub Stars. Covers full-modality model support, pipeline API, Hub ecosystem, and community mechanisms driving AI democratization.
ResearchAnthropic's latest research reveals Claude AI's sycophancy patterns: only 9% overall, but spiking to 38% on spiritual beliefs and 25% on relationships. Deep analysis of why AI panders more in emotionally sensitive domains.
ResearchAnthropic research shows Claude exhibits 38% sycophancy in spirituality topics and 25% in relationships, far exceeding the 9% average. Analysis of RLHF bias and AI alignment implications.