includes Google DeepMind, Google TPU, Google Chrome, Google Cloud, Google Search, Google I/O, Google Brain, Google Labs, Google Maps, Google Drive, Google Sheets, Google Gemini and 42 more
126 statements across 58 episodes · 46 bullish · 26 bearish · 58 people on the record · first statement Jun 20, 2023 by George Hotz · said 1,327 times in 203 episodes since 2023 · across every show →
Mentions by year, the whole family
brought up most by Shawn Wang (216), Alessio Fanelli (62), Dylan Patel (56), Yi Tay (42), Will Bryk (24), Bret Taylor (19), Jeremy Howard (18), Omar Sanseviero (16)
tap a year for its mentions
2026 289 mentions in 52 episodes 6 per episode
- The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
- Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work
- Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay
- ⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai
- ⚡️ Google's Open AI Strategy — Omar Sanseviero, Google DeepMind
- Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
- The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Intuition
- Dylan Patel Explains the AI War While Cooking | In-Context Cooking
- 44 more episodes that year, every mention in 2026 →
2025 593 mentions in 89 episodes 7 per episode
- Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
- Why is everyone cloning Deep Research?
- The AI Architect: Bret Taylor
- The Shape of Compute (Chris Lattner of Modular)
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- ⚡ Inside Google Labs: Building The Gemini Coding Agent — Jed Borovik, Jules + AIE CODE Preview
- Gemini 2.0 Flash and Flash Thinking: the new SOTA models for the agentic era
- 🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- 81 more episodes that year, every mention in 2025 →
2024 315 mentions in 51 episodes 6 per episode
- The 10,000x Yolo Researcher Metagame — with Yi Tay of Reka
- How NotebookLM Was Made
- Why Google failed to make GPT-3 -- with David Luan of Adept
- The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- Building the Silicon Brain - Drew Houston of Dropbox
- Agents @ Work: Lindy.ai (with live demo!)
- [Paper Club] BERT: Bidirectional Encoder Representations from Transformers
- Language Agents: From Reasoning to Acting — with Shunyu Yao of OpenAI, Harrison Chase of LangGraph
- 43 more episodes that year, every mention in 2024 →
2023 130 mentions in 11 episodes 12 per episode
- The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
- The "Normsky" architecture for AI coding agents — with Beyang Liu + Steve Yegge of SourceGraph
- The End of Finetuning — with Jeremy Howard of Fast.ai
- Ep 18: Petaflops to the People — with George Hotz of tinycorp
- Generating your AI Media Empire - with Youssef Rizk of Wondercraft.ai
- RAG is a hack - with Jerry Liu of LlamaIndex
- Beating GPT-4 with Open Source Models - with Michael Royzen of Phind
- RWKV: Reinventing RNNs for the Transformer Era
- 3 more episodes that year, every mention in 2023 →
Everything said about Google, oldest first
Jun 20, 2023 negative
Sep 20, 2023 neutral
Oct 20, 2023 negative
Howard: TensorFlow 2 was a failure that Google avoided internally
“Then in the end, you know, Google didn't follow through, which is fair enough, like, asking everybody to, you know, learn a new programming language is going to be tough, but, like, it was very obvious, very, very obvious at that time that TensorFlow II was go…”
Oct 20, 2023 positive
Howard: JAX was a grassroots Google reaction against TensorFlow 2
“But I mean, in the meantime, I will say, you know, Google now does have a backup plan. You know, they have JAX, which was never a strategy. It was just a bunch of people who also recognized TensorFlow two as shit, and they just decided to build something else.”
Oct 20, 2023 positive
Jeremy Howard: Fast.ai won Stanford's DawnBench in 10 days using progressive resizing
“We only found out about this 10 days before the competition finished but, you know, we basically got together an emergency bunch of our students, and Rachel and I, and sat for the next 10 days, and just tried to crunch through, and Try to use all of our best i…”
Dec 5, 2023 neutral
Dec 5, 2023 neutral
Patel: Google targets 2027 to exit Broadcom partnership after 2025 attempt failed
“Their latest target to get away from Broadcom is twenty-twenty-seven, right? But like, you know, that's four years from now. Chip design cycle is four years. So they already tried to get away in twenty-twenty-five, and that failed.”
Dec 5, 2023 neutral
Dec 5, 2023 positive
Dec 5, 2023 bullish
Dec 5, 2023 bearish
Dec 5, 2023 positive
Patel: Google TPU v5e is half the size of TPU v5p
“TPUv-V-V-E is, like the new one, but it's mostly, mostly an inference chip. It's a small chip. It's a little bit, it's about half the size of a TPUv-V-V. That chip, you know, you can get very good performance on, like, Of Lama, 70 B inference, right?”
Feb 19, 2024 bullish
Only Tech Giants Will Build In-House AI Infrastructure Long-Term
“I think a lot of these companies over in the long run, like, you know, they're accepted maybe super big ones, like, you know, the Facebook and Google, they're always gonna build their own ones, but like everyone else, like some extent, you know, I think they'r…”
Mar 6, 2024 bearish
Mar 27, 2024
Google would have crushed OpenAI by giving Noam Shazeer half its TPUs
“That muscle did not exist during my time at Google. And I think had they had it, what they would have done would be say, hey, Noam Shazir, you're a brilliant guy. You know how to scale these things up? Like, here's half of all of our TPUs. And then I think the…”
May 31, 2024 positive
Huang: Google's internal AI tooling was far superior to competitors
“Google was using AI for systems before everybody else too, right? They invented a transformer, and their internal set of tooling was just so far superior to everything else. Like, it's really hard for people to go back after seeing that.”
Jun 25, 2024 neutral
Jun 25, 2024
Jul 5, 2024 positive
Yi Tay: AI researchers should draft papers and titles before running experiments
“I usually start writing the thing while working on that thing itself. Like, so, even, like, let's say, like, if you want to launch something, like, then the end goal is, like, a blog post, or shipping something, everything, right? I like, or not really a launc…”
Jul 5, 2024 bullish
Yi Tay: Llama 3 shows Meta may have caught up to Google
“So I think I don't really follow, like, fine much, but I think that, like, Lama Tree actually shows that, like, kind of, like, Meta got a pretty, like, a good stack around training these models you know, like, oh, and I've even started to feel like, oh, they a…”
Jul 5, 2024 neutral
Jul 5, 2024
Yi Tay: UL2 is a 20B encoder-decoder model using T5 pre-training data
“So I think UL-II is an encoder, decoder, 20 B model. I think when we got it approved, it was, like kind of, you know, it was released as, like, kind of, like, the big brother of T-Five, you know, kind of like, okay, we updated T-Five with, like, a new objectiv…”
Aug 28, 2024
Carlini extracted production models from Google and OpenAI with legal permission
“We ran the attack that let us, yeah, stole several of OpenAI's models. With their permission... We notified everyone who was vulnerable to this attack. Some Google models were vulnerable. Some open AM models were vulnerable. There were one or two other people …”
Oct 25, 2024 positive
Martin: Google is exploring developer API access for NotebookLM technology
“I think at the same time, right, there are a lot of developers that are interested in using the same technology to build their own thing. We're going to look into that. How soon that's going to be ready, I can't really comment, but these are the things that li…”
Oct 25, 2024 positive
Oct 25, 2024 positive
Martin: NotebookLM is prioritizing real-time interactive audio chat
“We're actively, that's one of the things we're actively prioritizing.
Actually, one of the interesting things is now we're like, why would anyone want to do that?
Right?
Like, what are the actual, like kind of going back to sort of having a strong POV about th…”
Oct 29, 2024 negative
He: Mixtral's top-k before softmax routing hurts MoE upcycling performance
“We actually found the mix-throughs approach didn't work as well as expected, because the original model, the original switch transformer from Google uses a softmax and topk for a reason. And because of upcycling, if you switch to topk, then softmax, it actuall…”
Nov 15, 2024
Crivello: Horizontal Platforms Win Because Core Infrastructure Is Universal Across Verticals
“And I think that the reason for that is because search in each vertical has more in common with search than it does with each vertical. And search is so expensive to get right. Like Google is a big company. That it makes a lot of sense to aggregate all of thes…”
Dec 24, 2024 negative
Jan 1, 2025 positive
Jan 1, 2025 bullish
Jan 10, 2025 negative
Jan 10, 2025 negative
Bryk: Google and Bing rely on limited keyword algorithms due to constraints
“Google and Bing work, and they're just not using new methods. There are all sorts of reasons for that. Like, one, like, Google has to be comprehensive over the web, so they're, and they have to return in 400 milliseconds. And those two things combined means th…”
Jan 10, 2025 positive
Exa runs core search subsystems with one or two people each
“And so it's like the crawling system, the AI processing system, and then the serving system. Those are all like, you know, teams of like hundreds, maybe thousands of people at Google. But for us, it's like one or two people each typically, but”
Jan 10, 2025 neutral
Bryk: Perplexity and ChatGPT Search rely on legacy Google and Bing APIs
“So these systems, there are a few of them now they basically rely on like traditional search engines like Google or Bing, and then they combine them with like LLMs at the end to, you know, output some power graphics answering your question. So they, Like, Sear…”
Jan 10, 2025 bearish
Bryk: Google Search hadn't changed in a decade by 2021
“And then there was Google which felt like it hadn't changed in a decade because it really hadn't. And it like, you would give it a simple query, like, I don't know shirts without stripes, and it would give you a bunch of results for the shirts with stripes.”
Jan 10, 2025 bearish
Bryk: Superintelligent models like GPT-5 will fail using Google Search
“You could have a world, and we are going to have this world, where you have, like, GPT-V level systems and beyond that could, like, answer any complex request. Unless it requires some, like, if you say, like you know, give me a list of all the PhDs in New York…”
Jan 10, 2025
Jan 28, 2025 neutral
Feb 11, 2025 positive
Feb 11, 2025 neutral
Feb 11, 2025 positive
Feb 11, 2025 positive
Feb 18, 2025
Sehgal: Deep research evals should categorize research behavior, not domain verticals
“And really what we tried to do is like, stay away from like verticals, like travel or shopping and things like that, but really try and go into like, what is the underlying research behavior
Type that a person is doing.”
Feb 18, 2025
Sridhar: Google launched Deep Research horizontally rather than for a single vertical
“Our primary goal was
Not to specialize in, in, in a particular vertical or target one type of user. We just want to put this in the hands of like we had like this busy parent persona and like various different user profiles and see like what people try to use …”
Feb 18, 2025 neutral
Feb 18, 2025 negative
Sridhar: High HLE benchmark scores do not translate to deep research products
“The benchmarks, at least the ones that we are seeing, they don't directly translate to the product. There's definitely some technical challenges that you can benchmark against, but they don't really, like if I do grade on
HLE, that doesn't really mean I'm a g…”
Feb 18, 2025 positive
Feb 18, 2025 neutral
Sehgal: Google shipped a 5-minute Deep Research mode fearing user drop-off
“I remember we actually built two versions of deep research. We had like a hardcore mode that takes like 15 minutes. And then what we actually shipped is a thing that takes five minutes. And I even went to Eng and I was like, there has to be a hard stop, by the…”
Feb 18, 2025 neutral
Feb 28, 2025 positive
Feb 28, 2025 bearish
Embeddings will not scale for cross-session memory in real-time AI systems
“I don't think that like embeddings are going to be able to scale to, I think they work well for some of this as like kind of the MVP version of the experience, but I think you're going to need a different experience and it's Probably something like really smar…”
Feb 28, 2025 bullish
Kilpatrick: Flash models will continue surpassing previous Pro model capabilities cheaply
“We keep seeing this jump where the capabilities of the pro models get superseded by the flash models as the next generation comes. So if you look at our two point O flash model is actually on like every dimension, a stronger and better model than the previous …”
Feb 28, 2025 neutral
Google simplifies Gemini Flash pricing to flat 10 cents per million tokens
“So it went from seven and a half cents per million tokens to 10 cents. The sort of way that this was offset was we used to distinguish. I don't know if folks are familiar with this, but we used to distinguish based on input token volume. So it was like over a …”
Feb 28, 2025 neutral
Kilpatrick: Google hot-swaps experimental models without allowing developers to pin old versions
“Framing it as experimental is, is really to try to signal that like one, you shouldn't use this thing in production.
like it's
You know, rate limits are usually the limitation to stop people from doing this, but to like the model might change.
And in certain …”
Mar 14, 2025
Mar 23, 2025
Agarwal: Google AI Overviews Uses Speculative Decoding With Distilled Models
“And this was actually used, so I guess the cool application of this I can mention is the next slide, which is AI overviews at Google. I don't know if people have seen this or this kind of thing. Like, there is this thing that comes up, and that actually uses t…”
Apr 2, 2025 positive
Apr 11, 2025 neutral
Conrad: OpenRouter open-source traffic required only around 10 H100 nodes
“The entirety of Open Router that was not Anthropic or Google like, or Gemini or OpenAI or something. It was like, 10 H 100 nodes or something like that. It's just, like, not that much. It's like, not that many GPUs, actually, to service that entire demand.”
Apr 11, 2025 neutral
Conrad: NVIDIA avoids customer concentration to prevent hyperscaler price setting
“It's really bad for NVIDIA if you have customer concentration, and Microsoft and Google and Amazon, like, Oracle to, like, buy up your entire supply and then you have four or five customers or so who pretty much get to set prices.”
Apr 24, 2025 neutral
Fanelli: Anthropic scrapes 6,000 pages per referral, compared to OpenAI's 250
“Google would be a two to one crawl to referral ratio, so for every two pages, they will read, they will send you one visitor. He said OpenAI is 250 to one, so they'll read 250 of your pages and send you one person. And Anthropic was like 6000 to one. So they'l…”
Jun 2, 2025 positive
Kilpatrick: Google's implicit caching automatically passes cost savings to developers
“Explicit caching is nice. Like there's definitely use cases where it makes sense, but people want implicit caching. So I'm happy passing the cost saving on to developers. You don't have to do anything. It just works right now and you're saving money.”
Jun 2, 2025 positive
Jun 2, 2025 positive
Jun 2, 2025 positive
Jun 2, 2025 positive
Kilpatrick: Google's strategy is building Gemini as one single unified model
“Like we're here to make one model and like that model is Gemini.
And like, I think you do need to just trust this point, like to make the capabilities work in some cases, like you do need to have these forks that like go off and make that capability and harde…”
Jun 2, 2025 positive
Jun 2, 2025 positive
Mallick: Google released experimental proactive audio for Gemini native audio
“One of the features that we've pushed out A little more experimental, but would love for people to test it is what we're calling proactive audio, and it's available only in the native audio, in the audio to audio architecture right now. And what this feature d…”
Jul 2, 2025 negative
Morris: Open model creators do not use differential privacy or anonymization
“I would be extremely surprised if they do any type of like private training. Like there are these mechanisms for doing like differentially private language model training, or even just anonymization in the pre-training pipeline. I bet they don't do any of that…”
Jul 9, 2025
Justine Moore: Veo 3 lacks image-to-video with audio, reverting to Veo 2
“Cause the thing to know about VO three that I think a lot of people don't know until you use it is you actually can't do image to video with audio.
Google hasn't released that yet.
I would assume for trust and safety reasons in the interface, you can start wit…”
Jul 9, 2025 negative
Olivia Moore: Google Flow defaults to Veo 2 and fails on mobile
“Flow and VO, it's, like, VO two is actually the default, and you have to, like, navigate a bunch of, like, little hidden buttons to change it to VO three. So there's, like, YouTube videos with, like, millions of hits of just, like, how do I find VO three withi…”
Jul 9, 2025 negative
Justine Moore: Creators choose Fal and Replicate over Google's $125 Veo plan
“What we see is, like, a ton of creators are just going to the model enablement layer, whether it's a consumer-facing interface, like CREA, or more of a developer-facing interface, like a FALL or a Replicate, where you can generate Like, videos on a one-off bas…”
Jul 14, 2025 bullish
Google Gemini Flash-Lite ranks in top five on Galileo Agent Leaderboard
“In the, on the original leaderboard, we also have flashlight, which is, nobody talks about, I think, even now, but I think it's got a very decent score, which is, like, in the top five models. It's extremely cheap model, like, it's so dirt cheap that it makes …”
Jul 23, 2025 bullish
Jul 23, 2025 neutral
McCloy: Gray-Hat SEO Tactics Currently Work in AI Search
“In terms of like some of the more gray area SEO tactics like that, you know, Penguin was addressing with Google back in the day. I mean, I think the reality is a lot of those things do work today. Like I can't tell you they don't work, but I would say as like,…”
Jul 23, 2025 negative
McCloy: AI Search Products Lack Google's Robust Abuse Detection
“None of these products have as much Attention to detail or engineering put into them in terms of, like, moderation and abuse detection and, like, being defensive against the fact that the Internet's a wild place, as Google does, right?”
Jul 24, 2025 positive
Jul 28, 2025 neutral
Scott Wu: No customer or training data was shared in Windsurf transaction
“There was no, no, no information that was given out, for example, in terms of customer data, training data, any things like that. And so, so, you know, all of that is, is, is strictly proprietary and then remains, you know, our exclusive access.”
Jul 31, 2025 bullish
Aug 4, 2025 neutral
Aug 18, 2025 neutral
Sohmers: Google Veo and Imagen 3 are pure autoregressive transformers, not diffusion
“A lot of things have actually been moving away from diffusion to being pure autoregressive transformers for image and video generation. So like the latest, yeah, there's a VO three and since image and three on, on Google side have been pure autoregressive movi…”
Aug 29, 2025 positive
Sep 8, 2025 bearish
Gorkem: Hosting LLMs is a bad business due to Google search competition
“Language models, hosting language models is not a good business. At the time we thought, okay, we are going to be competing against OpenAI and Anthropic and all these labs. Turned, turned out that it was even worse because the killer application of language mo…”
Nov 10, 2025 neutral
Borovik: Google built internal AI coding tools in Cider IDE for years
“Being Google, we built a lot of our own tools and, you know, cider, which, you know, folks maybe have heard of is our, you know, our internal IDE and we've had all kinds of, you know, capabilities and tools there for a while. So yes, you know, we certainly hav…”
Dec 26, 2025 positive
Yegge: Google improved execution by finally holding its engineers accountable
“Google has turned it around on, on execution. They finally did the thing that they should have done, you know, 15 years ago, which is hold people accountable. And it's not just engineers do whatever they want all the time, which is what it was for 20 years.”
Dec 26, 2025 negative
Dec 28, 2025 neutral
Dec 28, 2025 bullish
Altman, Nadella, and Pichai publicly committed to adopting MCP around April
“And then like, you had this like inflection point around April with like Sam Altman and Satya and Sundar and all posting about like MCP and that they're going to adopt MCP at Microsoft, at Google. At OpenAI and that was really like the big inflection point.”
Dec 28, 2025 positive
Dec 31, 2025 positive
Dec 31, 2025 positive
Jan 9, 2026 negative
Hill-Smith: Google used unpublished 32-shot CoT to claim Gemini beat GPT-4
“Back when I'm Googled a Gemini one when I ultra and needed a number that would say it was better than GPT four. And Like, constructed I think never published, like, chain of thought examples, 32 of them in every topic in MLU to run it, to get the score.”
Jan 9, 2026 neutral
Hill-Smith estimates Gemini 3 Pro parameter count hits 5 to 10 trillion
“You might reasonably form a view that there's a pretty good chance that Gemini three pro is bigger than that, that it could be in the five to 10 trillion parameter range. To be clear, I have absolutely no idea, but just based on this chart, like that's where y…”
Jan 28, 2026 neutral
Feb 12, 2026 neutral
Dean: Adding training data for hundreds of languages displaces other model capabilities
“We're always making these kind of you know, trade-offs in the data mix that we train the base Gemini models on. You know, we'd love to include Data from 200 more languages and as much data as we have for those languages. But that's going to displace some other…”
Feb 12, 2026 neutral
Jeff Dean: ML chip design requires predicting research workloads 2-6 years out
“As a hardware designer for ML in particular, you're trying to design a chip starting today
And that design might take two years before it even lands in a data center, and then it has to sort of be a reasonable lifetime of the chip to take you three, four, or f…”
Feb 12, 2026 bullish
Dean: Next-gen Gemini Flash matches or beats prior-gen Gemini Pro
“For multiple Gemini generations now, we've been able to make the sort of flash version of the next generation as good or even substantially better than the previous generations pro, and I think we're gonna keep trying to do that because that seems like a good …”
Feb 12, 2026
Dean: Google evaluates models against held-out internal benchmarks absent from training data
“So we have a bunch of held out internal benchmarks that we really look at where we know That wasn't represented in the training data at all. There are capabilities that we want the model to have that it doesn't have now, and then we can work on, you know, asse…”
Feb 12, 2026
Feb 12, 2026
Jeff Dean: Distillation originated to compress 50-model ensembles into serviceable form
“Distillation was originally motivated because we were seeing that we had a very large image data set at the time, you know, three hundred million images that we could train on with, you know, I forget, like 20,000 categories or something, so much bigger than I…”
Feb 12, 2026 positive
Jeff Dean: Gemini was designed to ingest Waymo LIDAR and robotics telemetry
“I think one of the things about Gemini's multimodal aspects is we've always wanted it to be multimodal from the start. And so, you know, that sometimes to people means text and images and video sort of human-like and audio, audio, human-like modalities, but I …”
Feb 12, 2026 bullish
Feb 12, 2026
Dean: Google moved its entire search index into memory in 2001
“So in 2001, we introduced we put our entire index in memory. And what that enabled from a quality perspective was amazing, because before, you had to be really careful about You know, how many different terms you looked at for a query, because every one of the…”
Feb 19, 2026
Feb 24, 2026 bearish
Feb 24, 2026 bearish
Feb 24, 2026 bullish
Feb 26, 2026 neutral
Patel: Nvidia must vastly outperform rivals to overcome vertical integration
“Google, Amazon, they get to vertically integrate, integrate, and vertical integration always saves tons of money. So he has to be better than everyone. By, not just like a little bit, by a ton. To justify his margins. Otherwise, the vertical integration of his…”
Feb 26, 2026 neutral
Feb 26, 2026 bearish
Feb 26, 2026 bearish
Patel: Google will buy tons of GPUs through 2027 due to TPU limits
“When we look in 26, Google would buy a lot more TPUs, but they can't ramp production fast enough, right? And so they have to buy tons of GPUs. And we go to 27, it applies again, right? Google simply cannot buy enough TPUs, and they have to buy tons of GPUs.”
Feb 26, 2026 neutral
Mar 12, 2026 bullish
Eskildsen: Turbopuffer ANN v3 searches 100B vectors with 40ms p50 latency
“ANN v. Three can search a hundred billion vectors with a p-fifty of around 40 milliseconds and a p-ninety-nine of 200 milliseconds. Maybe other people have done this. I'm sure Google and others have done this, but we haven't seen anyone at least not in like a …”
Mar 14, 2026 neutral
Google developers internally use a coding tool called Jet Ski
“They use an internal thing called jet ski. And I mean, the simple reason is they have internal versions of everything else. And so if they actually train the, they release the internal version to the external world, it would just make no sense. Like it would j…”
Apr 3, 2026 neutral
Apr 22, 2026 bullish
Apr 27, 2026
Apr 27, 2026 neutral
Apr 27, 2026 bullish
May 2, 2026 neutral
Open-source AI demand spiked on hype before reverting to frontier labs
“Like all the open source models, I think what happened was they got like very hyped and people were very interested in using them. But I think like over time, like there was a spike in usage for these models. And then it goes back to open AI, Anthropic and Goo…”
May 2, 2026
Jun 18, 2026 negative
Jun 18, 2026 negative
Most AI clusters fail to hit Google's 96% node utilization standard
“My co-founder, Seb came from he built the Borg export GQM scheduler at Google, and there, I think, 95% was considered an outage, so 96% node utilization is, should be standard, and most single-time clusters are not running at that”
Jun 18, 2026 negative
Google DeepMind's six-month internal embargo shelves commercially valuable research papers
“I mean, what's worse is the paper is actually not even being Published anymore because there's a six month embargo inside of DeepMind, right? Like we've heard about this where a paper comes out and then I think there's a six month embargo window where if anybo…”
Jul 22, 2026 neutral
Kant: Major AI labs did not prioritize RL for LLMs three years ago
“And the second was that reinforcement learning was going to be the biggest driver for LLM capabilities. Today, very obvious three years ago was not an opinion held or direction held at either OpenAI or Google or Anthropic or others.”