language models

also referred to as: language model

29 statements across 18 episodes · 15 bullish · 8 bearish · 17 people on the record · first statement Apr 25, 2023 by Sridhar Ramaswamy · across every show →

Everything said about language models, oldest first

Apr 25, 2023 positive
Assertion Not checkable as stated
Ramaswamy: Small Language Models Generalize HTML Parsing and Scraping
“All of us have nightmares about writing beautiful soup code in order to parse web pages. It's basically regular expression parsing over ever-changing websites. It's horrible. We have done a bunch of it in the first two-ish years of Neva. That stuff is also eas…”
Sridhar Ramaswamy Apr 25, 2023 ▶ 11:29 No Priors Ep. 8 | With Neeva’s Sridhar Ramaswamy
Apr 25, 2023
Insight
Liang: Next-token prediction forces language models to build world models
“If you think about predicting the next word, It's, it seems very simple, but you have to really internalize a lot of what is going on in this context. What are the previous words? What's the syntax? What's who's saying them? And all of that information and con…”
Dr. Percy Liang Apr 25, 2023 ▶ 24:54 No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
Apr 25, 2023 positive
Opinion
Liang: LLMs are not just memorizing because novel concept fusion requires invention
“You know, people say that sometimes all language models just memorize because they're so big and train on clearly a lot of texts, but these examples, I think really indicate that there's no way That these language models are just memorizing because this text j…”
Dr. Percy Liang Apr 25, 2023 ▶ 21:53 No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
Apr 25, 2023 negative
Insight
Liang: Interconnected AI accepting external inputs risks cascading jailbreak exploits
“If these models start interacting with the world and accepting external inputs, now you can not only just sort of jailbreak your own model, but you can jailbreak other people's model and get them to do various things. And then, so that could lead to sort of a …”
Dr. Percy Liang Apr 25, 2023 ▶ 46:38 No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
Apr 25, 2023 positive
Insight
Liang: Controlling AI hallucination is easier once models understand the concept
“So I think there's pre-training, which is predicting the next word and developing a world model, so to speak. And with those capabilities, then you can, you still have to say don't hallucinate, but it will be much easier to control that model if it has a notio…”
Dr. Percy Liang Apr 25, 2023 ▶ 26:56 No Priors Ep. 7 | With Stanford Professor Dr. Percy Liang
Apr 25, 2023 bullish
Prediction Not checkable as stated
Aravind Srinivas predicted push-based AI agents would arrive by early 2024
“I feel like we can do these things even better now with language models. So yeah, I think it'll happen in a year, more than five years.”
Aravind Srinivas Apr 25, 2023 ▶ 26:45 No Priors Ep. 9 | With Perplexity AI’s Aravind Srinivas and Denis Yarats
Apr 25, 2023 positive
Insight
Zaharia: Grounding LLMs with external vetted data fixes stale knowledge and hallucinations
“The two big problems with it are number one, like the knowledge is not up to date. You know, it's only, it only knows stuff it was strained on. And number two, a lot of the things it says are inaccurate and it's confident, but like wrong in various ways. And I…”
Matei Zaharia Apr 25, 2023 ▶ 14:21 No Priors Ep. 11 | With Matei Zaharia, CTO of Databricks
May 4, 2023 neutral
Assertion Supported
Guu: LLM Fact Memorization Requires Hitting Minimum Training Data Frequencies
“There are some papers that I can point to later in the show notes that kind of show how memorization scales with the number of times something shows up in the corpus, and you have to hit a certain frequency before these models can kind of accurately remember t…”
Kelvin Guu May 4, 2023 ▶ 6:28 No Priors Ep. 15 | With Kelvin Guu, Staff Research Scientist, Google Brain
Jul 20, 2023 bearish
Prediction Not checkable as stated
Parikh: Generative video progress will lag behind LLM and image advancements
“I think that might be harder in video and I wonder if there is something that we are kind of fundamentally missing in terms of how we approach video generation. So it's not quite answering what you asked me, but I do think that it might be a little bit slower …”
Devi Parikh Jul 20, 2023 ▶ 14:29 No Priors Ep. 24 | With Devi Parikh from Meta
Sep 14, 2023 bullish
Prediction Didn’t hold up
Polosukhin: First organizations run by AI agents will emerge in 2023
“I think we'll see, you know, first organizations like this, probably even this year where Potentially with a simpler mission, some kind of more straightforward like KPI metrics, but where kind of this information propagation and onboarding of people happens al…”
Illia Polosukhin Sep 14, 2023 ▶ 8:07 No Priors Ep. 32 | With NEAR’s Illia Polosukhin
Sep 14, 2023 positive
Insight
Polosukhin: Internal knowledge search beats external search at inference time
“The fact that this model is, like, doing a really effective search in kind of this knowledge space means that probably, like, pushing more into that concept is more useful than doing more searches at inference time because, like, it means you already lost all …”
Illia Polosukhin Sep 14, 2023 ▶ 36:55 No Priors Ep. 32 | With NEAR’s Illia Polosukhin
Nov 16, 2023 negative
Insight
Albrecht: Pure LLMs theoretically cannot learn general multiplication algorithms due to context
“Like, we know even in theoretical senses, like, they cannot learn to do multiplication in the general sense because it literally doesn't fit in the context window, right? Like, multiplication, they can learn to do addition in a modular sense, and they can lear…”
Josh Albrecht Nov 16, 2023 ▶ 11:24 No Priors Ep. 41 | With Imbue Co-Founders Kanjun Qiu and Josh Albrecht
Feb 15, 2024 bullish
Insight
Zhao: SaaS is digital paper-pushing that LLMs can now perform
“Fundamentally, SaaS, software is all, we're all in the same information, people, paper pushing activity, right? It's like a piece of paper coming in front of you. A human, like, changed a couple bits, pushed to another human. Language model can do some form of…”
Ivan Zhao Feb 15, 2024 ▶ 13:47 No Priors Ep. 51 | With Notion CEO Ivan Zhao
Feb 15, 2024 bullish
Insight
Zhao: AI Language Models Are Driving the Next Software Bundling Wave
“Now the new technology happening is AI language model, and if you build more with it or just think more with it, language model wants information to be one place. Once the endpoints to be connected, so it's easier to, is it hard enough to like a conversion lan…”
Ivan Zhao Feb 15, 2024 ▶ 26:47 No Priors Ep. 51 | With Notion CEO Ivan Zhao
Feb 15, 2024 neutral
Insight
Zhao: LLMs Demand Bundling of Information Rather Than Just Distribution
“I think there's bundling of distribution and bundling of information. What you're describing to me is more of Microsoft, more like bundling of distribution. Language model wants the bundling of data, bundling information.”
Ivan Zhao Feb 15, 2024 ▶ 29:44 No Priors Ep. 51 | With Notion CEO Ivan Zhao
Feb 15, 2024 neutral
Prediction Not checkable as stated
Zhao: People Will Communicate Less as AI Agents Handle Exchanges
“I probably feel it's probably less the agent side essentially bet on language model, that's the communication.”
Ivan Zhao Feb 15, 2024 ▶ 22:36 No Priors Ep. 51 | With Notion CEO Ivan Zhao
Apr 11, 2024 bullish
Prediction Held up
Gil: VC Funding Will Shift from LLMs to Specialized Domain Models
“I think on the foundation model side, from a venture capital or angel investor perspective I think we're going to see fewer new language models But we should see models in a lot of other areas and, you know, we have new things happening in music. We talked a l…”
Elad Gil Apr 11, 2024 ▶ 8:16 No Priors Ep. 59 | With Sarah Guo & Elad Gil
Apr 18, 2024 negative
Opinion
Doshi: Diffusion Transformers Alone Lack Utility Without Integrated Language Models
“Transformers are definitely, I think transformers are definitely like the right direction, but I don't think that we're going to get a lot of you enough utility if we're not like somewhat trying to figure out a way to combine the great, amazing knowledge of li…”
Suhail Doshi Apr 18, 2024 ▶ 17:25 No Priors Ep. 60 | With Playground AI Founder Suhail Doshi
Jun 11, 2024 positive
Prediction Not checkable as stated
Knoop: ARC benchmark solution will likely come from an outsider
“I am more confident actually that or I guess I would bet that the solution arc probably comes from an outsider. I think it's probably gonna come from somebody who's sort of not indoctrinated in the current way of thinking about language models and scale.”
Mike Knoop Jun 11, 2024 ▶ 14:42 No Priors Ep. 68 | With Zapier Co-Founder and Head of AI Mike Knoop
Jun 11, 2024 negative
Assertion Supported
Knoop: Language models objectively cannot beat the ARC benchmark
“Just sort of objectively, language models do not work to beat Arc. And people have tried.”
Mike Knoop Jun 11, 2024 ▶ 7:21 No Priors Ep. 68 | With Zapier Co-Founder and Head of AI Mike Knoop
Jun 11, 2024 bearish
Prediction Not checkable as stated
Knoop: Purely scaling language models will not achieve AGI
“Scaling language models purely will not get there.”
Mike Knoop Jun 11, 2024 ▶ 7:41 No Priors Ep. 68 | With Zapier Co-Founder and Head of AI Mike Knoop
Aug 1, 2024 neutral
Insight
Vinyals: Language models inherently retain non-zero error probabilities
“So then you, of course, are absorbing all the knowledge on the internet and then sharpening those models around being, following instructions, being aligned with humans, but you still have this Probability distribution that will assign non-zero probability to …”
Oriol Vinyals Aug 1, 2024 ▶ 19:57 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Aug 1, 2024 positive
Insight
Vinyals: LLM bootstrapping works if verification is easier than solution generation
“If checking that something is correct is easier than creating the solution, then we're in business because the language models will be able to evaluate their own samples more accurately than to generate them. And then we have a sort of reinforcement learning l…”
Oriol Vinyals Aug 1, 2024 ▶ 27:48 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Aug 1, 2024 positive
Insight
Vinyals: Wrapping LLMs in iterative reasoning programs accelerates accuracy
“To accelerate that, that sort of progress, you want to start sort of really exploring what's the reasoning the model has, and by making it more redundant, more logical, by iterating more on these kind of ideas, you could imagine generating a very small program…”
Oriol Vinyals Aug 1, 2024 ▶ 21:06 No Priors Ep. 74 | With Google DeepMind VP of Research Oriol Vinyals
Nov 21, 2024 negative
Insight
Overestimating LLM Flexibility Causes Repeated Enterprise RAG Failures
“Well, I think all language models are quite sensitive to prompts, to the way that you present data. They all have their own individual quirks. The way that you talk to one might not work for the way that you talk to another. And so when you're building a syste…”
Aidan Gomez Nov 21, 2024 ▶ 6:21 No Priors Ep. 91 | With Cohere Co-Founder and CEO Aidan Gomez
Mar 20, 2025 positive
Insight
Finn: Embodied AI and motor control are underrated compared to language models
“I feel like actually people underestimate how much intelligence goes into motor control. Many, many years of evolution is what led to us being able to use our hands the way that we do. And there are many animals that they can't do it even though they had so mu…”
Chelsea Finn Mar 20, 2025 ▶ 16:51 No Priors Ep. 107 | With Physical Intelligence Co-Founder Chelsea Finn
Apr 3, 2025 neutral
Insight
Gil: Physical-world data bottlenecks explain why AI breakthroughs began in language models
“Anytime you go into the physical world, it's always harder to generate data, and that's one of the reasons that the language models where you just effectively collect the wisdom of the internet digitally are the first places where we've really seen this scale …”
Elad Gil Apr 3, 2025 ▶ 14:59 No Priors Ep. 109 | With Sarah and Elad
Oct 9, 2025 positive
Assertion Supported
Zelikman: Language models can be trained to simulate students for test design
“Like, even back in my PhD, I think one of my, I guess, less well-known works was actually about, we showed that you can train language models to simulate different kinds of students. For tests. Yeah, yeah. And by simulating students, you can actually design be…”
Eric Zelikman Oct 9, 2025 ▶ 22:54 No Priors Ep. 135 | With Humans& Founder Eric Zelikman
Apr 17, 2026 negative
Assertion Not checkable as stated
McDermott: Replicating a ServiceNow app with LLMs costs 10x more
“We've actually done the math on this. And so for a simple application on our platform, it would be 10 times greater in cost to try to replicate it with a language model.”
Bill McDermott Apr 17, 2026 ▶ 23:49 Scaling Global Organizations in the Age of AI with ServiceNow Chairman and CEO Bill McDermott
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