惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

云风的 BLOG
云风的 BLOG
The GitHub Blog
The GitHub Blog
Y
Y Combinator Blog
博客园 - 三生石上(FineUI控件)
T
The Blog of Author Tim Ferriss
宝玉的分享
宝玉的分享
Hugging Face - Blog
Hugging Face - Blog
WordPress大学
WordPress大学
V
Visual Studio Blog
小众软件
小众软件
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
MongoDB | Blog
MongoDB | Blog
V
V2EX
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 【当耐特】
Microsoft Azure Blog
Microsoft Azure Blog
The Cloudflare Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Engineering at Meta
Engineering at Meta
L
LangChain Blog
Martin Fowler
Martin Fowler
GbyAI
GbyAI
博客园 - 司徒正美

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
What is GLM-5.2? Another open-source Chinese AI model has...
Lakshmi Varanasi · 2026-06-22 · via Hacker News - Newest: "AI"

China flag

Silicon Valley is impressed by GLM 5.2, a new open-source Chinese AI model. kool99/Getty Images

A new AI model from China is generating the kind of buzz not seen since DeepSeek's R1 announced China as a serious threat to American chatbot hegemony over a year ago.

Silicon Valley's online echo chamber has been alight with intrigue in recent days over z.AI's new open-source model. Called GLM 5.2, it's a large language model designed for running long coding tasks and agentic workflows.

The company says it operates on a 1 million token context window, which would put it in the same league as Anthropic's Claude Opus 4.8 and OpenAI's GPT 5.5.

"Genuinely impressed, almost shocked, at how good GLM-5.2 by @zai_org is at coding. This changes things," Guillermo Rauch, CEO of Vercel, a cloud-based platform for developers, wrote on X.

Across social media, investors, founders, and tech industry influencers expressed awe at the speed and capability of the new model, which launched last week.

Matt Velloso, a former vice president of Meta, Google DeepMind, and Microsoft, said in an X post that he spent an entire day using GLM-5.2. "First open model that passes the bar as a daily driver," he wrote. "Things are not going to be the same."

Like DeepSeek, GLM-5.2 is open-source, which means anyone can download it and operate it on their own inside their own systems, and make changes to it as they see fit. Most American frontier models, like those from OpenAI and Anthropic, are closed.

In closed models, the consumer is dependent on the provider. This is good for the provider because they can capture more of the value, which is necessary for companies spending billions on AI infrastructure and have investors anxious to see revenue growth.

If an open model is as good or better, however, it could easily capture a larger share of the market.

The US and China have been locked in a contest over AI supremacy in recent years. Washington is trying to preserve its edge through chip restrictions and access controls, while Chinese companies are pushing forward with cheaper, increasingly capable open-source models.

Anthropic recently warned in a report that China is closing in on the US through looser chip controls and "distillation attacks," in which a company uses a more robust AI model to train a smaller "student" model. Anthropic said the US and its allies still have a chance to "lock in a 12-24 month lead in frontier capabilities." It warned, however, that "the window of opportunity to lock in that lead will not necessarily remain open for long."

China first gave Silicon Valley a wake-up call in January last year when DeepSeek released R1, a low-cost reasoning model that rivaled OpenAI's o1. At the time, investors questioned whether Silicon Valley's AI lead was as safe as it appeared.

As GLM-5.2 makes the rounds on the internet, so, too, does that same question.

Read next