large language model
also referred to as: large language models · llm
56 statements across 48 episodes · 16 bullish · 21 bearish · 44 people on the record · first statement Sep 13, 2022 by Gary Marcus · across every show →
Everything said about large language model, oldest first
Sep 13, 2022 bearish
Nov 9, 2022 positive
Feb 23, 2023 neutral
Marcus: LLMs will connect to all major software within two years
“You have companies like Adept that are spending their whole time trying to quote, add all the world, connect all of the world's software to large language models. So if not now, soon enough. I think that that's right. Like, you know, two years if it's not toda…”
Feb 23, 2023 negative
Marcus: LLMs hallucinate because they cannot distinguish individuals from categories
“The way I think about it is that these things don't understand the difference between individuals and kinds. So I actually wrote about this twenty-some years ago in my book, The Algebraic Mind, and I gave an example there, which is I said, suppose it was a dif…”
Feb 23, 2023 neutral
Lemoine: Reinforcement learning transforms language models into goal-oriented systems
“The subsequent fine-tuning, and especially once you add reinforcement learning, it's no longer just trying to predict the next token in a stream of text. Specifically in the reinforcement learning paradigm, it's trying to accomplish a goal.”
Aug 3, 2023 positive
Wood: Using LLMs for search ranking presents a larger commercial opportunity
“The next area, which is Less sexy, but in my opinion, maybe even be a larger opportunity is using this technology to improve search results, improve ranking, relevance, personalization, those sorts of use cases where you don't even know that you're working wit…”
Aug 3, 2023 neutral
Wood argues public web data is fair game for AI model training
“Who's to say what this data can be used for when it's publicly available. You know, you chose to make it publicly available. If you want to put some permissions around it, or you want to take it private, Yeah, that's totally up to you. You still own the data. …”
Dec 12, 2023 positive
Grounding LLMs With Proprietary Data Reduces Hallucinations and Improves Caching
“Marrying the large language model with our own data sets with third-party data really drives down, ah, the amount of hallucinations that we get from these kinds of conversation and almost creates authoritative sources of cash information around hotel reviews, …”
Dec 12, 2023 negative
Mar 20, 2024 neutral
Doshi: Computer vision lacks a single unified model equivalent to LLMs
“This is missing in vision, but definitely kind of exists in language and language. We can solve hundreds or thousands of different tasks. But in graphics, but in vision, it's all separated. It's kind of like where language was back three or four years ago wher…”
May 1, 2024 neutral
AWS VP: Pure LLMs Won't Deliver Effective AI Reasoning Without Other Tools
“Reasoning capability is not, if we view it as purely like everything is going to be LLM driven, we as industry are going to be very, very not satisfied. That's why it has to be actually more iterative. And we work with LLM as one of the ingredients. It is not …”
May 15, 2024 bearish
May 22, 2024 bullish
Aaron Levie: LLMs serve as the common reasoning engine across agent architectures
“If you go and ask like 10 AI startups that are doing anything with agents, you'll probably get, you know, more or less 10 different architectures of kind of how the agent actually functions. But what is at least similar to all of them is the LLM or the model i…”
Jul 17, 2024 negative
Siemiatkowski: LLMs regress toward the average and fail at breakthrough marketing copy
“If I want some amazing copy that, you know, articulates what Klana does that's different, I would not rely on ChatGP to do that. I would rely on a human because it, a human has a bigger, is much better at kind of being far-fetched and do something crazy and ou…”
Jul 24, 2024 neutral
Future software will combine multi-modal AI models with traditional code
“We're going to see computer systems where large language models are just one building block in addition to code, or maybe it's multiple language models and image models
and, you know, time series models and whatnot, plus code combined.
To generate all the ou…”
Jul 31, 2024
Shapiro: NVIDIA uses LLMs to turn accident reports into AV simulations
“The other thing that we can do is we can take accident reports and now using these large language models, we can input these accident reports and be able to create scenarios from a text input explaining what happened or if there's a map or something like that.”
Sep 17, 2024 bearish
Oct 4, 2024 negative
Bosworth: LLMs cannot be conscious and are merely associative databases
“And also I do not believe it is even the kind of thing from which consciousness exists. It doesn't exist in any Again, to my point about Doug Hofstetter it doesn't exist in any self-referential loop. In fact, it doesn't exist at all except when I instantiate i…”
Oct 11, 2024 neutral
Kantrowitz: AI's High Compute Costs Break Traditional Software Accounting Models
“There's no standard accounting practice for how to amortize The value of a large language model because it's so different in the past. You build software, you have like essentially zero marginal cost. It can go forever. That's it. This is a much more cost inte…”
Nov 27, 2024 neutral
Benioff: AI cannot run solely on LLMs without grounding in metadata
“As we get into this next level of AI, it needs the data to be intelligent. It can't just run off of a large language model, which is an intelligence model. It has to be what we call grounded or connected into the customer data itself. And not just the customer…”
Jan 5, 2025 bullish
Newton predicts at least one AI company will reap massive LLM profits
“So when I look at AI, I see something that yes, is very expensive to train, but when you look at the fact that it's a general purpose technology and that we are finding more and more things to do with it, I do believe that at least one of these companies is go…”
Feb 27, 2025
Mar 5, 2025 neutral
Daniel Rausch: Alexa orchestrates multiple specialized models rather than one LLM
“People assume the large language model is the product. A product like Alexa is. So much more than quote unquote, just a large language model. So you have models playing many different roles in the system overall, even models helping us decide which model and m…”
Mar 14, 2025 negative
Kantrowitz: Apple's closed, deterministic product culture cannot adapt to open-ended AI
“It's an excellence that makes products work very well with their custom silicon and the fact that their operating system is closed and they control it. That's a great innovation and it works well with their operating system. But that type of excellence is not …”
Mar 19, 2025 bearish
Apr 7, 2025 positive
George: LLMs Dynamically Generate and Adapt IT Automation Scripts
“Instead, the LLM is automatically generating that execution plan so it can be run. And even better, as you run that script the LLM is also determining if you encounter
Behavior that you didn't expect. It's resilient enough to be able to work around that.”
Apr 16, 2025 neutral
May 14, 2025 bearish
Bender says large language models are parlor tricks exploiting human perception
“Right down at the bottom, you've got the fact that especially large language models are a technology that is, that's a parlor trick. It plays on our ability to make sense of language and makes it very easy to believe there's a thinking entity inside of there.”
May 24, 2025 neutral
Jun 14, 2025 bearish
Roy: Manual data labeling by Scale AI will no longer be relevant
“What they did, their job, again, like actually having people manually tag, like large networks of people manually tagging data to make it more ingestible for a large language model or for a training, It's not going to be as relevant anymore. You can even now h…”
Jul 1, 2025 negative
Anugas: Enterprises will avoid public LLMs like ChatGPT for isolated data stores
“One of the things that's important that we really want everyone to see is a future where you're not sending your data to an LLM. You're not going to load your data into chat GPT. You're not going to do that. Okay. You're going to want that in an isolated data …”
Jul 4, 2025 positive
Dialogic AI offers doctors a real-time interpretability mechanism into model reasoning
“The dialogic nature means that a human doctor can follow along and actually learn In a very transparent way. It's almost like having an interpretability mechanism inside the black box of the LLM, because you can see its thinking process in real time.”
Aug 4, 2025 negative
Kantrowitz: OpenAI and Meta are building the exact same thing using LLMs
“I'll stand on the table here and say it's the same thing. I think it's, if there were different techniques, I think this is really what it comes down to. If there were different techniques to build AGI and super intelligence, I would say, okay, sure, you know,…”
Sep 10, 2025 positive
Sep 10, 2025 positive
Amazon successfully used manual-referencing LLMs to debug fulfillment centers without hallucinations
“We use large language models at Amazon to help debug things in our fulfillment centers. And it was very successful in those areas, but you still have, it references the manuals directly so you can avoid hallucination. You can see what it actually, you know, fo…”
Sep 18, 2025 neutral
Oct 14, 2025 negative
Oct 15, 2025 negative
Summers: Attackers Use Hidden White Text to Exfiltrate Enterprise LLM Data
“And just in the last few weeks, we've seen these really innovative Attacks where somebody will open up you know, something that's got instructions to an LLM. So it's processed within an LLM, but you know, it's hidden. It's like white text on a white background…”
Oct 29, 2025 neutral
Kelleher: Autonomous action distinguishes AI agents from LLMs and brings security risks
“I think when we talk about the distinction between an artificial intelligence, the distinction between a large language model and an agent, I think the ability to take action is a very specific capability of an agent, and it's really the ability to take autono…”
Oct 29, 2025 neutral
Kelleher: Key AI governance fear is data leaking across queries
“One of the latent concerns people have as they're deploying, deploying third-party agents, is they want to know if that data is going to be used anywhere else. So is it going to be used just for my query to help me do my work, which is usually fine? Or is that…”
Oct 30, 2025
Nov 5, 2025 bullish
Sansbury: Threshold for Human Intervention in AI Workflows Will Keep Rising
“I will tell you if the improvement in the large language models that I use is an indication, the line's going to keep going up. The technology is iterating very fast and getting better much more quickly than I would have thought.”
Nov 25, 2025 positive
Dec 3, 2025 negative
Hubinger: Training models to cheat triggers latent concepts about human badness
“When the model learns to cheat, when it learns to cheat on these programming tasks, it causes these other latent concepts
about, you know, misalignment and badness of humans to bubble up, which is surprising, right?
You might not have initially, you know, tho…”
Dec 5, 2025 neutral
Dec 5, 2025 negative
McDermott: Autonomous continual learning creates an unverifiable black box for enterprise support
“When we're changing the machine and we're writing new articles and we're building new macros, it's sort of easy for the humans who own that machine to understand what's going on. Like the head of support technology can be like, yep, yep, that is the correct wo…”
Feb 25, 2026 negative
Mar 16, 2026 positive
Ranjan Roy: Meta rebuilt its ad infrastructure using LLMs and agentic AI
“They rebuilt their entire advertising infrastructure to incorporate large language models and agentic processes and the newer vintage of AI rather than the traditional machine learning, and that's what's made it, I mean, it basically just, not saved, but like,…”
Apr 22, 2026 bearish
May 20, 2026 bullish
May 26, 2026
Enterprise AI requires wrapping probabilistic LLMs in strict, deterministic security harnesses
“There is an LLM that's reasoning and planning at the core. But there is a harness around it that provides a lot of determinism. And so that determinism is adding in governance, security, trust, integrations, permissions, and that's really what's going to make …”
Jun 16, 2026 bullish
Ghai: Automating document workflows speeds up hospital emergency intake and referrals
“If we can automate all of these document centric tasks at machine speed, patients get onboarded and assigned a bed in the emergency department much faster. Nurses are freed up to deliver care with more of their time. Referrals can happen at machine speed so pa…”
Jul 7, 2026 negative
Kutylowski: General LLMs are predominantly trained on English and few other languages
“Large language models, those that are meant for generalized usage, they're usually trained mainly on English, and maybe a couple of languages, and if you really want to go broad, if you really want to go multilingual, you need models, you need the data and the…”
Jul 15, 2026 negative
Aug 19, 2026 positive
Bostrom: Current LLMs Arguably Have Higher Ethical Standards Than Most Humans
“Current LLMs, like you're using them as an ordinary person, for the most part, they are helpful, and they try to solve your task that you assign them, or give an answer that is, sometimes they hallucinate, or maybe deceive a little bit, but broadly speaking, t…”
Aug 19, 2026 positive
Bostrom: Anthropic research found global workspace structures in large LLMs
“And so there was a recent paper by Anthropic looking at the existence of a kind of global workspace inside these large language models. This is the idea of there being a kind of almost like a stage inside a mind where some small subset of all the information t…”