GLM, every mention
31 scenes across 10 shows · ← back to GLM
tap a year for its mentions
Latent Space 10
All-In 8
the Startup Ideas Podcast 6
TBPN 6
20VC 5
Lenny's Podcast 4
the a16z Podcast 2
Invest Like the Best 22 more shows
every year every show Latent Space 10 All-In 8 the Startup Ideas Podcast 6 TBPN 6 20VC 5 Lenny's Podcast 4 Invest Like the Best 2 
the MAD Podcast 2 the a16z Podcast 2 
Big Technology 1
Verbatim, from the transcripts: passages where GLM comes up on Latent Space, All-In, the Startup Ideas Podcast, TBPN, 20VC
Why companies are becoming a series of loops | Anish Acharya (a16z)
- ▶ 27:42 Anish Acharya It's just extraordinary, you know, and that's just, it's got a totally different shape than GLM five, two GLM five, three just came out, which I used for a bunch of product work. 3 times in the scene
- ▶ 32:47 Anish Acharya Is really opinionated on GLM five, three versus Kimmy K three.
The Inference Frontier: from 100 to 10,000 tokens per second — Sean Lie, Cerebras CTO
- ▶ 43:48 unnamed speaker Give us, give us GLM, give us DeepSea.
Anthropic's $2T IPO, Zuck's AI Manifesto, Nvidia's $500B AI Bet, Grok's Comeback
- ▶ 24:33 Jason Calacanis And the reason is watching startups and then also watching some of the large companies now embrace GLM five, two and Zuckerberg, which we'll get to in a moment, releasing really great open source models. 2 times in the scene
- ▶ 1:00:28 Gavin Baker You know, if we have Quinn, if we have Kimmy, if we have DeepSeq, and then we have GLM, they're actually evolving in very different ways.
OpenRouter CEO: Why Chinese Open Models Are Beating the US | Why Enterprises Fear OpenAI & Anthropic
- ▶ 4:35 Alex Atallah In reality, like, you know, how often do you hear people running, you know, GLM on a hyperscaler?
- ▶ 22:36 Alex Atallah Like, there are, there are a few other confounding variables in the story, and, and it was also done in the middle of Deep Seek launching and having a really, really good price, and GLM having a really good price. 3 times in the scene
Google’s AI Brain Drain, SpaceX's Huge Quarter, Airtable’s 90% Collapse, US Data Fuels China AI
- ▶ 1:11:20 Jason Calacanis I gotta say using Kimmy and Quinn and, you know, GLM five, two for the last 60 days, my lord, these things are good.
“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf
- ▶ 9:52 Thomas Wolf So we basically tried all the open source model that we had and, and GLM, which is close to the state of the art right now, which just before Kimi and that this happened now, probably Kimi K-Tree is the closest to the state of the art, but…
How Open Source Became AI's Backbone | Inferact with a16z
Why the Markets Are Pricing AI Wrong | Gavin Baker · Invest Like The Best
- ▶ 2:28 Gavin Baker And I do think a big part of the problem is, one, the market does not have visibility into anthropic open AI, and then I would say these open source inference clouds that monetize inference here in America, Fireworks based in modal… 2 times in the scene
Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
- ▶ 20:38 Ali Taha Well, to your point previously, when you were mentioning, like, um, the work that goes into supporting a model when it first comes out, like JLM-VII or Minimax M-III or whatever the case is, sometimes you do have to, like, you do have to… 3 times in the scene
- ▶ 46:22 Alessio Fanelli So say for GLM.
- ▶ 1:08:32 Alessio Fanelli I think on your guys' end, you see a lot of, okay, one day it's GLM, Kimmy, DeepSeq, uh, Minimax, throw in the others.
How China Caught U.S. AI — With Grace Shao
- ▶ 45:57 Grace Shao I think last year around Chinese, oh, this year around Chinese New Year, um, GLM faced something similar.
Cerebras CEO: Why GPUs Can't Do Fast Inference
- ▶ 1:00:11 Andrew Feldman I think you can even buy buckets of tokens for, for Kimmy or GLM or some of these models.
FDE: The $1M/Year AI Job Explained
- ▶ 24:09 unnamed speaker Let's go to Kimi three or GLM 5.2.
Thinking Machines’ First AI Model, California Loses $3.2B to Texas, TSMC Adds $100B | Diet TBPN
- ▶ 4:56 John Coogan Kimi distills, GLM distills, Quen distills, Nemo Tron distills, Kimi and Deep Seek, which counts. 2 times in the scene
IBM's AI Rollercoaster, Demis Calls for AI Watchdog, NY Pauses AI Data Centers | Diet TBPN
- ▶ 9:19 unnamed speaker Reviewing code that China just sort of throws over here, open sourced because I mean, as we've seen with the Kimmy K two and GLM, uh, like if you tie someone up in an FDA like review for even six months, 2 times in the scene
OpenAI vs Anthropic IPOs, Anthropic $3T, Zuck's Price War, China Ends Open Source?, Trump Accounts
- ▶ 25:37 Jason Calacanis I've been playing with GLM. 2 times in the scene
- ▶ 32:51 Jason Calacanis So I'm dynamically routing and I'm, you know, GLM, 5.2.
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
- ▶ 19:36 Andrew Feldman We, we, we run today, we run GLM, we run Kimi, we run the Quen set of models, and we run OpenAI's models, the closed source ones, we run
The Future of AI Infra: from Kubernetes to Agent Sandboxes — Akshat Bubna, Modal CTO
- ▶ 21:30 unnamed speaker How does it compare to, say, I take the same model, GLM, 5.2 FBA, take off the shelf inference engine, VLM, SGLang, um, you know, get compute of similar capacity, similar cost.
Open Source vs. Closed Source, Memory Chips Eat AI Profits, Comcast Restructures | Diet TBPN
- ▶ 15:12 unnamed speaker GLM, it's a very good model, you know, for creative writing or, or something like this.
GLM 5.2: What you need to know
- ▶ 0:01 Greg Isenberg You've probably heard of GLM. 3 times in the scene
- ▶ 6:52 unnamed speaker So how it works essentially is you got to go to that AI, which is the GLM provider. 2 times in the scene
⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ▶ 14:46 Ronak Malde Like obviously having one trillion parameter models like Kimi or like an amazing models like GLM and DeepSeq, I don't think we're quite there yet for that size of model.
Cerebras CEO on the Future of Data Centres, Token Costs & Memory | Should US Companies Sell to China · 20VC with Harry Stebbings
- ▶ 43:17 Andrew Feldman When the, the GLM, these are extraordinarily good models.
Samsung’s $70B Chip Bet, Apple Doing Nothing But Winning AI, Bezos’ New Fund | Diet TBPN
- ▶ 8:36 unnamed speaker But if you kind of zoom in on the time scale, like you can still train GLM, some open source model on a very specific task, like accounting or something, and you can like hill climb and you can actually make it better than the frontier…
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 11:08 Elie Bakouch And, uh, recently there was the GLM paper, there is this, um, uh, King K-II, of course.
⚡️Raising $1.1b to build the fastest LLM Chips on Earth — Andrew Feldman, Cerebras
- ▶ 13:52 unnamed speaker The GLM just came out today, and I know there's a lot of work that's going on between our companies on, on, on that, on the open model side.