186 related articles
White House Appoints Avi Loeb to Lead …
The White House, together with the Pentagon, ODNI, and FBI, has established a UAP Science Advisory Council, with controversial astrophysicist Avi Loeb at the helm.

A complete walkthrough of training machine learning models from scratch—covering problem definition, data preprocessing, algorithm selection, hyperparameter tuning, and evaluation, with tool recommendations for beginners.

1X releases a new robotic hand for the NEO humanoid robot—25 DOF, force transparency, and tactile skin enabling data self-labeling. OpenAI launches the three-tier GPT-5.6, boosting coding and cost-efficiency. Hardware and AI brains evolve together, accelerating humanoid robot commercialization.

A Ryanair flight suffered engine failure and window damage, nearly sucking a passenger out. Explore the physics of high-altitude decompression, historical cases, and how passengers should respond.

A deep dive into the prompt logic behind AI artwork "The Last Ember" — covering Art Nouveau meets Egyptian mural fusion, Midjourney parameter settings, and structured prompt methodology.

How GPR, LiDAR, and photogrammetry uncover Cecil B. DeMille's buried film set, a Hollywood stunt shipwreck, and a Gold Rush ghost town in Drain the Oceans.

Hands-on test of OpenAI's new voice model: real-time interruption, simultaneous translation, emotion switching, code review, and comparison with Doubao.

GPT-Live uses a full-duplex audio architecture to enable thinking while listening, seamless real-time translation, and parallel foreground chat with background task execution—shattering voice AI's turn-taking feel.

OpenAI launches GPT-Live, a full-duplex voice AI supporting continuous interaction and intelligent task delegation for real-time translation, language correction, and parallel search.

Former Fed Chair Bernanke joins Anthropic's Long-Term Benefit Trust, marking AI governance's entry into the era of cross-disciplinary experts. A deep look at Anthropic's unique trust structure and its impact on responsible AI.

GPT-5.6 (Sol, Terra, Luna) hands-on testing: a Hokkaido farmer controls a greenhouse with AI, a NYC small business builds custom software, and a Polish mathematician breaks a 3-year problem. A deep dive into end-to-end autonomous execution.

AI dream interpretation and personality analysis are trending on social media, but can AI really understand you? This article unpacks the technical limits and hidden risks—from the Barnum Effect to LLMs.

OpenAI releases GPT-5.6 and integrates Codex directly into ChatGPT, letting developers invoke code generation and debugging within conversations. A deep dive into the product logic and ecosystem impact.

How to commit March ARR reviews to EMNLP while handling a May rebuttal, find missing justification fields in OpenReview, and avoid dual submission issues.

Tencent Hunyuan HY3 official version is open-sourced under Apache 2.0, priced as low as 1 yuan per million input tokens, with major gains in agents, reasoning, coding, and long context. On the same day, Meituan open-sourced its trillion-parameter LongCat 2.0.

Cognition's Agentic MapReduce architecture combines classic distributed computing with autonomous agents to break LLM context window limits, enabling multi-Agent parallel reasoning across entire codebases.

Grok 4.5, GPT-5.5, and Claude go head-to-head on the same coding tasks. A deep comparison of code quality, UI design, and engineering standards to help you choose the right AI coding assistant.

MIRA is an interactive world model project for the multiplayer competitive game Rocket League, exploring how neural networks simulate multi-agent interaction and complex physics. An in-depth look at its significance, challenges, and prospects.

An in-depth analysis of prompt engineering from a programmer's perspective: understand token probability generation, master the three principles—specific, rich, low-ambiguity—and learn iterative prompt tuning.

A deep dive into the underlying logic of prompt engineering from a programmer's perspective: understand token-probability generation, master the three principles of specific, rich, and low-ambiguity, and learn iterative prompt tuning.