92 related articles

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.

From DeepSeek to Kimi K3 and Qwen 3, Chinese open source AI models are closing in on OpenAI and Anthropic at stunning speed. A deep dive into narrowing gaps, IPO valuation risks, the "open source decelerationism" debate, and why Google may be the biggest winner.

Qwen launches a massive open-weight model, DeepSeek V4 priced at $0.0028/M tokens, Kimi K3 hits compute limits — Chinese AI labs are aggressively disrupting OpenAI and Anthropic's frontier model dominance.

Chinese open-source models rapidly close the capability gap with top closed-source AI. DeepSeek shocks the industry while Qwen matches global benchmarks.

Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.

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.
Can AI Generate a GTA-Scale Game with …
A viral tweet predicts AI will one-shot GTA-scale games within a year. We break down the bold claim's logic, the three key variables—cost, model access, and timeline—and what it means for the future of game development.

GPT-5.6 deletes files, Grok leaks codebases, DeepSeek's founder hits $36B net worth — five AI stories reveal deepening safety risks and capital concentration.

OpenAI previews GPT-5.6 with three variants — Sol, Terra, and Luna. Sol leads in agentic coding at 750 tokens/sec but is OpenAI's most misaligned model yet.

DeepSeek and Peking University open-source DSpark, an inference acceleration technology using semi-autoregressive architecture and dynamic scheduling to boost LLM speed by 50%+ and double GPU concurrency without quality loss.

CSDN founder Jiang Tao analyzes how DeepSeek uses open source to challenge ChatGPT's dominance — from technical transparency to national AI strategy.

Beijing is reportedly consulting with Alibaba, ByteDance, and Z.AI on tiered AI export controls that could affect open-weight models, while DeepSeek quietly builds its own inference chips.
OpenAI Mandates Hardware Passkeys: A N…
OpenAI now requires hardware-backed passkeys for Trusted Access Cyber members. Learn how hardware passkeys work, their phishing resistance, and what this means for enterprise security.

71% of ChatGPT queries can be handled by local models — but "going local" isn't a one-step move. This guide breaks down the three tiers of local models, license traps, deployment methods, and cost logic to help you find the optimal routing strategy between local and cloud AI.

GPT-5.6 context rolled back to 272K; Codex hits 6M users; SenseTime open-sources SenseNova Vision; China eyes AI export controls; Anthropic extends Claude trial again.
6 Months Left for Open Source AI? A De…
Is open source AI really running out of time? This deep dive examines the compute gap, capability lag, and licensing risks threatening open source LLMs — and the paths forward.

The U.S. imposes its strictest-ever export controls on top AI models, while Zhipu AI and Moonshot launch self-developed coding tools the same day—amid rising GPU and cloud compute prices. A deep dive into three trends driving cost rationality and tech autonomy.

Anthropic's Claude Code is accused of covert tagging via Unicode punctuation encoding, prompting Alibaba to ban its use. A deep dive into the reverse-engineering findings, distillation allegations, and the AI-era battle over compute monopoly and developers' right to know.

The U.S. White House is considering an executive order on open-source AI, touching on national security, tech proliferation, and industry competition. A deep dive into its possible directions and impact.

DeepSeek is entering AI chip development, targeting compute autonomy. This article analyzes its motivations, software-hardware synergy, chip R&D challenges, and impact on China's AI vertical integration.