160 related articles

DeepSeek founder Liang Wenfeng reveals a five-step AGI roadmap from chain-of-thought to embodied intelligence. How does TileLang crack domestic GPU substitution under a 20,000-card constraint?

A full breakdown of DeepSeek founder Liang Wenfeng's 4-hour closed-door meeting: no KPIs, only reasonable profits, open-sourcing top models, and tackling AGI via continual learning—a rare AI strategy confession showing how restraint becomes a core edge.

An analysis of DeepSeek's Liang Wenfeng 4-hour investor meeting: restrained pricing with 10-month payback, why open source doesn't hurt revenue, the Agent–continual learning–self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

Decoding DeepSeek's Liang Wenfeng 4-hour investor Q&A: 10-month-payback restrained pricing, why open source doesn't hurt revenue, the Agent-continual learning-self-iteration AGI roadmap, plus domestic chips, talent, and your moat.

DeepSeek founder Liang Wenfeng shares his views on open source, pricing, computing power, and the five-stage roadmap to AGI in a 4-hour internal investor talk.

China's Ministry of Commerce is weighing restrictions on overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek. Meanwhile, DeepSeek is quietly building its own inference chip and raising ~$7B in first external funding.

China's Commerce Ministry weighs restricting overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek, while DeepSeek develops its own inference chip amid a US-China AI export standoff.

DeepSeek's paper 'Thinking with Visual Primitives' was online for just 4 hours before being pulled. It uses bounding boxes and points as reasoning primitives, letting models 'point at' images to outperform GPT, Gemini, and Claude on maze navigation and counting.

xAI releases Grok 4.5, ranking #1 on SWE Marathon and outperforming Claude Opus. Explore benchmark scores, Agent capabilities, free access, and CLI installation.

Videos on Bilibili claiming free access to GPT-5.6 and Claude are traffic scams. Learn how to spot fake AI offers, understand the real risks, and find safe alternatives.

Cosine AI founder reveals how the UK's first sovereign LLM is being built — from government compute grants and RL credit attribution to multi-agent orchestration and synthetic data pipelines.

A deep dive into LangChain, LangGraph, MCP, and enterprise AI Agent development: covering Streamable HTTP updates, DeepSeek R1 Function Calling limits, and Qwen3 agent capabilities.

Are 'free, no-VPN' AI aggregator platforms in China trustworthy? We break down how API relay platforms work, their data risks, hidden costs, and safer alternatives.

lx is a set of 72 single-purpose CLI tools running on local Ollama models — no API key, fully offline. Supports git commit generation, log debugging, and more. Rust binaries with <15ms cold start; 7–8B models work great.
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.

Why do neural networks make the decisions they do? This article explores AI interpretability — mechanistic interpretability, CoT monitoring, and safety auditing — and how researchers reverse-engineer large models for AI safety.

A Reddit user's Perplexity farewell exposes AI search's core tension: free trials hook users, then reasoning model quotas drive them away. Here's what it means for the industry.

Palo Alto Networks CEO demands 90% token price cuts. Tesla, Microsoft, Meta pull back AI budgets. A deep dive into why agentic AI costs so much and the industry's shift toward disciplined operations.

Cursor ML engineer reveals Recursive Self-Improvement (RSI) in practice: dual-loop flywheels, agent-driven data, anti-cheating evals, SpaceX compute, and how models are training the next generation.
5,000+ Kagglers Reveal What Actually W…
5,000+ Kaggle participants in NVIDIA's Nemotron challenge validate test-time compute, self-consistency, and chain-of-thought as key techniques for boosting AI reasoning without bigger models.