Zhipu AI's GLM Model Surpasses DeepSeek, Returns to SF
Summary
Zhipu AI, which IPO'd in January, has developed an open model, GLM, that is now considered a top performer, even surpassing DeepSeek in some benchmarks. The company is returning to San Francisco for an event, signaling its growing presence and capabilities.
Why it matters
Professionals should care because Zhipu AI's advancement with its GLM model signifies a major shift in the open-source AI landscape, potentially offering powerful new tools and competitive alternatives to existing models. This development could influence strategic decisions regarding AI model adoption and investment.
How to implement this in your domain
- 1Evaluate Zhipu AI's GLM model for potential integration into current AI projects.
- 2Monitor Zhipu AI's announcements for new features, benchmarks, and partnership opportunities.
- 3Attend relevant industry events where Zhipu AI presents to gain deeper insights into their technology roadmap.
- 4Compare GLM's performance against other leading open and closed models for specific use cases.
Who benefits
Key takeaways
- Zhipu AI's GLM model is emerging as a leading open-source AI model.
- The model has reportedly surpassed DeepSeek in performance.
- Zhipu AI is expanding its global presence, particularly in the US market.
- This development offers new competitive options for AI practitioners.
Original post by @swyx
"btw Zai IPO'ed in Jan at HK$120 a share. when I first met @louszbd nobody really knew anyone using GLM's. now they have beat deepseek with the world's undisputed top open model and in some respects (see @ml_angelopoulos) say top model period, and are returning to SF @aidotenginee…"
View on X
Originally posted by @swyx on X · view source
Want to go deeper?
Turn these trends into skills with Learnijoy's hands-on AI & tech courses.
Explore coursesMore in AI News & Tools
ChatGPT Logs Used as Evidence in Arson Trial
Prosecutors in the Palisades fire trial presented ChatGPT logs as evidence against Jonathan Rinderknecht, who faced arson charges. The logs revealed his queries about generating fire images, expressions of anger, and discussions about culpability for fires.

Proposing AI Usage Transparency for Credible Commentary
The author suggests a requirement for individuals and organizations to publish their percentage of frontier AI usage at work and personal usage. This transparency would establish credibility before commenting on AI's utility.
MCP and A2A Protocols Standardize Agentic Internet Development
The Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol are standardizing how AI agents discover tools, call services, and coordinate across systems. Understanding these protocols is crucial for developers building agent-compatible infrastructure.