363 related articles

T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
Mira Murati's New Company Releases 975…
Former OpenAI CTO Mira Murati's Thinking Machines Lab releases a 975B-parameter open-weight LLM, entering the global AI frontier. Analysis of its technical significance, open-weight strategy, and industry impact.

Sakana AI releases Fugu Ultra, achieving frontier AI performance through autonomous model orchestration. Deep dive into its technology, strategic implications, and impact on global AI competition.

June 2, 2025 AI roundup: NVIDIA's 550B Nimitron 3 Ultra, xAI Composer 2.5, Anthropic & ZhiPu IPOs, OpenAI's agentic OS prototype, and key advances in agents, compute infrastructure, and open source.

XAI launches Grok Build 0.1 coding model API beta at $1/M tokens; Google Gemini Spark agent opens to Ultra users; OpenAI Codex Computer Use arrives on Windows; DeepSeek scales back features.

Discover how LiDAR laser technology penetrates deserts and jungles to reveal Sela's underground cistern system and Nan Madol's hidden structures, rewriting the history of lost civilizations.

An in-depth analysis of the open-weights model debate: public release brings transparency and innovation, but raises safety and misuse risks. Exploring tiered release, red-teaming, and governance challenges.

An in-depth analysis of the open-weights model debate: publicly releasing model weights enables transparency and innovation but raises safety risks. Explores tiered release, red-teaming, and the industry dynamics behind open AI governance.

DeepSeek's open source model shakes Silicon Valley. OpenAI defends closed source while Microsoft, NVIDIA, and Meta back open ecosystems. Analysis of the AI open/closed source debate, Apple-Micron chip tensions, and AI-driven historical disinformation.

Fields Medal winner Jacob Tsimerman joins OpenAI's safety team on award day, declaring math careers won't survive. Meanwhile, NVIDIA finances a $250B data center and Kimi K3 open-sources 2.8T parameters.

Fields Medal winner Jacob Tsimerman joins OpenAI's safety team on award day, saying math careers won't survive. NVIDIA finances a $250B data center. Kimi K3 opens a 2.8T-parameter model.

Perplexity stuck in Computer Mode and can't switch back to normal search? This article analyzes the technical causes including server-side preference stickiness and platform differences, with practical solutions.

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

Ollama scales up for trillion-parameter open-source models like Kimi K3 and Qwen 3.8. Hugging Face demands $100M from OpenAI, Alibaba Coder goes mobile, and DeepSeek pauses fundraising.

Chinese open-source models like Kimi K3 and DeepSeek approach US closed-source performance at a fraction of the cost. This deep dive analyzes the transmission chain from price competition to valuation reassessment.

DeepSeek's open source model shakes Silicon Valley. OpenAI defends closed source while Microsoft, NVIDIA, and Meta back open ecosystems. Analysis of the AI open/closed source debate, Apple-Micron chip tensions, and AI-driven historical disinformation.

NVIDIA's investment in Ilya Sutskever's SSI reveals a GPU demand self-reinforcing loop, a secretive superintelligence strategy, and the deep entanglement of AI capital and technology.

Anthropic has never open-sourced Claude's model weights. As OpenAI, Meta, and Google embrace open source, is Anthropic's AI safety stance genuine caution or a commercial moat? A deep dive into the debate.

In-depth analysis of Claude Opus, Gemini Pro, and ChatGPT: the real competitive landscape among top AI models, limitations of community benchmarks, and scientific methods for model selection.

API Mock is fast but misses bugs; Sandbox is realistic but costly. This article analyzes their core differences and provides a layered testing strategy for building reliable Agent test systems.