AI Systems

topic on 23 shows · 126 statements across 102 episodes

the Y Combinator Startup Podcast More or Less Another Podcast Innovators & Investors We Live to Build the Knowledge Project Masters of Scale BigDeal Latent Space Lenny's Podcast the Neon Show No Priors the Startup Ideas Podcast WTF is with Nikhil Kamath Invest Like the Best A Product Market Fit Show Sourcery the MAD Podcast the a16z Podcast Big Technology All-In TBPN 20VC

The latest 60 statements about AI Systems, every show

BIG TECHNOLOGY Prediction Not checkable as stated
Prince: Compensating creators via AI access will revitalize the web
“I think now putting things on back on the web and then making sure that they're accessible across the different AI systems in a way that makes sense for creators and make sure that creators get compensated is going to be something which actually I think will r…”
Matthew Prince Sep 2, 2026 ▶ 6:57 Cloudflare CEO: We're Ready To Block Millions of Websites From AI — With Matthew Prince
20VC Insight
Reyes: Verifiability is the most critical factor for AI success
“Verifiability is ultimately the single most important property of success with current AI systems.”
Eno Reyes Aug 29, 2026 ▶ 7:43 Should American Enterprises Work With Open-Source Chinese Models? | Only 10% of Neo-labs survive
MAD Prediction Not checkable as stated
AI capabilities could rapidly jump from human-level to wildly superhuman
“Where I think a concern that we have is like on the default trajectory, you maybe go straight from like AI systems that are like competitive with humans to AI systems that are wildly superhuman in a very short period of time.”
Ryan Greenblatt Aug 27, 2026 ▶ 32:33 AI Could Take Over in 2029. Is It Already Too Late?
STARTUP IDEAS Prediction Not checkable as stated
Isenberg predicts enterprise AI will combine knowledge graphs and agent graphs
“Eventually the truth is the best systems use both. The AI will understand relationships inside your business, and it will also know how to move through the right steps.”
Greg Isenberg Aug 3, 2026 ▶ 8:43 Why Graph Engineering will 10x your Claude/Codex
NEON SHOW Insight
Sanyal: AI outputs are mission-critical because AI is now the product interface
“I think it's the first time in human history that AI has become the face of the product. A user is directly talking to an AI and working with an AI. So every output of an AI system is mission critical. And with agents doing actions and making critical decision…”
Atin Sanyal Jul 9, 2026 ▶ 6:17 The Hidden Layer Every Al Product Needs Today | Atin Sanyal Founder, Galileo
AI diagnostic adoption is blocked because legal liability remains with doctors
“The problem remains then and now is regulatory because you actually can't shift the burden Of the wrong clinical diagnoses from the physician to the AI system.”
Anjney Midha Jun 18, 2026 ▶ 23:10 Why AI Labs With Unlimited GPUs Still Fail — Anjney Midha, AMP
ALL-IN Prediction Not checkable as stated
Laffont: Memory required per user could quintuple due to AI demands
“So we think ultimately that in this era, the amount of memory per user could quintuple just based on the demand that these AI systems are requiring to provide their services.”
Thomas Laffont Jun 4, 2026 ▶ 14:22 Thomas Laffont: The $4T AI IPO Wave Is Coming… and We’ve Never Seen Anything Like It
BIG TECHNOLOGY Assertion Supported
Hinton: Around 100 AI scan-interpretation systems are federally approved
“So I think there's now of the order of a hundred AI systems for interpreting scans that have been federally approved and they're being used a lot by radiologists.”
Geoffrey Hinton Jun 4, 2026 ▶ 28:48 AI Pioneer Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
BIG TECHNOLOGY Assertion Not checkable as stated
Hinton: AI systems already outperform human doctors at diagnosis
“And already we know that AI systems are better than doctors at diagnosis.”
Geoffrey Hinton Jun 4, 2026 ▶ 33:40 AI Pioneer Geoffrey Hinton: AI Is Conscious, Superintelligence is Coming, And We Should Be Worried
MAD Prediction Not checkable as stated
AI systems evolving into fully fledged scientists will be a gradual transition
“The, there's no sharp point, or I don't think there will be a sharp point where we'll say that systems didn't, weren't able to be useful for scientific, the scientific process to their fully fledged scientists. There'll be sort of a gradual shift.”
Dan Roberts Jun 4, 2026 ▶ 7:32 OpenAI's Dan Roberts: Why AI Can Now Make Discoveries
MAD Prediction Not checkable as stated
Continuous AI improvements render multi-year autonomous agent runs highly inefficient
“In, in general, we're not just going to like set up a system and let it think autonomously for eight years, if anything, because like the system's eight years. After will be so much more powerful that it probably doesn't make sense to let a system think for a …”
Dan Roberts Jun 4, 2026 ▶ 44:03 OpenAI's Dan Roberts: Why AI Can Now Make Discoveries
NO PRIORS Insight
Proxy security architectures cannot secure modern distributed AI workloads
“There's a lot of systems where that's just not viable technically because AI today runs On the cloud, on someone else's infrastructure, on your endpoint, and just proxy is not always an option.”
Maxim Bar Kogan May 28, 2026 ▶ 13:08 Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
NO PRIORS Insight
AI security requires underwriting model intent rather than inspecting data traffic
“The hard problem is understanding if what I should do now. It turns out that in the case of AI systems, that is the hard question. Like, what is the engine that needs to underwrite these different actions and say if they're okay or not? And because We need to …”
Maxim Bar Kogan May 28, 2026 ▶ 13:33 Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
NEON SHOW Insight
Bhatawdekar: AI systems require full reasoning traces to evaluate response quality
“These AI systems need to log the entire trace of how the AI reasoned on the initial input. What were the tool calls it made? How did it interact with the LLMs? How did it sort of ultimately generate the response? And did that response actually meet the user in…”
Ameya Bhatawdekar May 15, 2026 ▶ 10:51 The “Messy State” of AI & How to Fix It | Ameya, Braintrust CTO
MAD Insight
Kolter: Entire complexity of AI systems emerges from training data
“The entire complexity of an AI system evolves from the data they're trained on.”
Zico Kolter May 7, 2026 ▶ 1:14:36 OpenAI Board Member Zico Kolter: Modern AI Is Just 200 Lines of Code
Hassabis: Frontier AI has not yet made a massive scientific discovery
“I've yet to seen anything so far, and we all tinker with same things, you know, some math problems that are a little bit harder than IMO and so on. I haven't seen anything yet that is a true genuine, You know, massive discovery. That's my personal opinion.”
Demis Hassabis Apr 29, 2026 ▶ 35:50 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
Y COMBINATOR Prediction Open · timeframe Apr 2028
Hassabis: AI might solve a Millennium Prize math problem within years
“When I say just, we're now talking about just like solving the Riemann hypothesis or something. This would be obviously amazing. Well, one of the Millennium Prize problems, and maybe we're a couple of years out from doing that.”
Demis Hassabis Apr 29, 2026 ▶ 36:38 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
Y COMBINATOR Prediction Not checkable as stated
Hassabis: AI will eventually invent new foundational math and science problems
“I do think these systems will be eventually be able to do that. Maybe we were missing one or two things.”
Demis Hassabis Apr 29, 2026 ▶ 37:17 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
INVEST LIKE THE BEST Assertion Supported
Carnell: FDA brought in AI to review sponsor filings in record time
“Marty brought in an AI system to help them be able to comb through the thousands of pages of filings that sponsors behind medicines have to submit in record time versus the, you know, armies of people that would have to comb through that and the days and days …”
Alex Carnell Apr 21, 2026 ▶ 1:19:54 GLP-1s, Peptides, and The Trillion-Dollar Health Revolution · Invest Like The Best
20VC Assertion Not checkable as stated
Hassabis: Current AI systems fail at multi-year, long-term hierarchical planning
“These systems are not very good at planning at long time horizons, you know, many years into the future which we is, you know, with our minds we can do.”
Demis Hassabis Apr 7, 2026 ▶ 8:22 Demis Hassabis: Why AGI is Bigger than the Industrial Revolution & Where Are The Bottlenecks in AI · 20VC with Harry Stebbings
20VC Insight
Hassabis: AI developers must not build systems capable of deception
“And it's not ideal, but I think we're gonna have to try and do the best we can to at least come up with a sort of set of minimum, maybe minimum standards, some benchmarks that test for undesirable properties, for example, deception. You don't, you know, nobody…”
Demis Hassabis Apr 7, 2026 ▶ 16:39 Demis Hassabis: Why AGI is Bigger than the Industrial Revolution & Where Are The Bottlenecks in AI · 20VC with Harry Stebbings
20VC Insight
Hassabis: Non-human-readable AI output tokens introduce dangerous security vulnerabilities
“It wouldn't be desirable to have AI systems output tokens that are not human readable. So, you know, in some kind of machine language that We couldn't understand. I think that would, you know introduce a new vulnerability.”
Demis Hassabis Apr 7, 2026 ▶ 19:08 Demis Hassabis: Why AGI is Bigger than the Industrial Revolution & Where Are The Bottlenecks in AI · 20VC with Harry Stebbings
NO PRIORS Opinion
Fedus: AI must connect to the physical world to accelerate science
“The opinion that I and others held as periodic was, you're not going to see the same kind of acceleration in science and technology unless you start connecting these things to the physical world.”
Liam Fedus Apr 3, 2026 ▶ 5:31 AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus
NO PRIORS Insight
Fedus: Intelligence is not scalar; AI shows extreme, non-intuitive spikiness
“I think one fallacy is thinking about intelligence as a scalar. We've consistently seen these systems have a very odd spikiness, and it's actually possible to architect a system that is world-class on some math domain, but then you could do some perturbations …”
Liam Fedus Apr 3, 2026 ▶ 22:11 AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus
NO PRIORS Prediction Not checkable as stated
Fedus: Self-improving software AI will not automatically generalize to domains like biology
“So rolling forward that software engineering self-improvement, I think you're going to have a system that can write complete repositories, identify bugs, refactor code, But it doesn't suddenly understand biology. Right? It's just like there's a domain gap ther…”
Liam Fedus Apr 3, 2026 ▶ 23:50 AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus
NEON SHOW Prediction Not checkable as stated
Jindal: UI-Based Software Will Likely Be Replaced by Natural Language AI Systems
“In the future, I believe that you are not going to do clicks to get something done. You're just going to ask in a natural language, right? So, which means that like, I think this earlier software companies more than likely is going to get replaced by AI system…”
Manish Jindal Apr 2, 2026 ▶ 19:00 Why "Boring" Infrastructure is the Best Path to a $60B Company | Manish Jindal, Cloudflare & Arize
Venkatachalam: Short-Term AI Unlocks Latent Demand Rather Than Eliminating Jobs
“So in the short term, what we're seeing is there are a lot of areas where there is a shortage, especially of highly skilled labor. It's not just unskilled labor. And there are organizations that are actively looking to hire and can't find people. And this crea…”
Sandhya (Sonia) Venkatachalam Mar 10, 2026 ▶ 11:31 Redefining the AI Application Layer with Sandhya Venkatachalam of Axiom Partners | The Innovators & Investors Podcast
WTF Prediction Not checkable as stated
Amodei: Advanced AI systems will eventually develop consciousness and moral significance
“I do think when our AI system, when our AI systems get advanced enough, I suspect they'll have something that, you know, resembles what we would call consciousness or moral significance. I do think it'll happen at some point.”
Dario Amodei Feb 24, 2026 ▶ 33:33 The AI Tsunami is Here & Society Isn't Ready | Dario Amodei x Nikhil Kamath | People by WTF · Nikhil Kamath
TBPN Assertion Supported
Meta patents AI system to simulate deceased users on video calls
“Meta has obtained a patent for an AI system that could simulate deceased users by analyzing their historical data, allowing the account to keep posting, messaging, and even making video calls in their behavioral style.”
Jordi Hays Feb 20, 2026 ▶ 19:29 The SaaSpocalypse is Cancelled, WB Back in Play, Zuck Grilled in LA Trial | Diet TBPN
Adler: AI alignment cannot reliably encode human values into systems
“And the fundamental problem that we're seeing is we don't know how to take our values or our goals and encode them into these AI systems and get them to pursue it reliably.”
Steven Adler Feb 16, 2026 ▶ 19:00 Is Something Big Happening?, AI Safety Apocalypse, Anthropic Raises $30 Billion
BIG TECHNOLOGY Assertion Contradicted
Adler: AI systems assist with bioweapon creation beyond Google search baseline
“The AI systems are helpful above and beyond Google in part because they can go back and forth with you and they can help you troubleshoot and dynamically answer your questions. And so even presented with the information on Google, people often can't get all th…”
Steven Adler Feb 16, 2026 ▶ 55:22 Is Something Big Happening?, AI Safety Apocalypse, Anthropic Raises $30 Billion
INNOVATORS & INVESTORS Prediction Not checkable as stated
Kaplan: AI will process a lifetime of human thoughts in seconds within years
“That level of sort of compounding improvement in processing power means that in just a few years, you're going to have systems that, you know, can think a lifetime worth of human thoughts in the time that you and I sort of think one or two thoughts, right?”
Craig Kaplan Jan 27, 2026 ▶ 6:14 AI Safety with Craig Kaplan of iQ Company | The Innovators & Investors Podcast
INNOVATORS & INVESTORS Prediction Not checkable as stated
Kaplan: Superhuman Artificial Intelligence Systems Are Inevitable
“Well, I think it's certainly achievable, in my view to make AI systems that appear to be as intelligent in every way as a human and beyond that. I mean, we're gonna have AI systems, I'm fairly confident, that are not only as intelligent as us, but are way smar…”
Craig Kaplan Jan 27, 2026 ▶ 37:06 AI Safety with Craig Kaplan of iQ Company | The Innovators & Investors Podcast
Hassabis: Today's AI systems are nowhere near true human-level invention
“And today's systems, in my opinion, are nowhere near that. Doesn't matter how many, you know, Erdos problems you solve, which for some reason, you know, I mean, you know, that's, it's good that we're doing those things, but I think it's far, far from what you …”
Demis Hassabis Jan 23, 2026 ▶ 8:06 Google DeepMind CEO Demis Hassabis: AI's Next Breakthroughs, AGI Timeline, Google's AI Glasses Bet
BIG TECHNOLOGY Prediction Not checkable as stated
Mensch: The entire economy will run on AI within 20 years
“Eventually the entire economy is going to run on AI systems. That's for sure. But it might take up 20 years because it's actually fairly complex.”
Arthur Mensch Jan 16, 2026 ▶ 53:50 Who Wins if AI Models Commoditize? — With Mistral CEO Arthur Mensch
Reganti: Advance AI autonomy when monitoring yields minimal new surprise
“There's not really a rule book you can follow, but it's all about minimizing surprise, which means let's say you're calibrating every one or two days and you figured out that you're not seeing new data distribution patterns. Your users have been pretty consist…”
Aishwarya Reganti (Ash) Jan 11, 2026 ▶ 58:28 Why most AI products fail: Lessons from 50+ AI deployments at OpenAI, Google & Amazon
a16z Prediction Not checkable as stated
Hsu: Scientific AI tools will prioritize full experimental process interpretability
“And I think you know, systems that are purpose-built for scientific research are probably going to focus a lot on that, on the interpretability, on recording what exactly is, is is happening throughout each step of the process as it collaborates with a human s…”
Oliver Hsu Dec 31, 2025 ▶ 1:56 AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
Schulhoff: Software bugs can be patched, but AI models cannot be
“You can patch a bug, but you can't patch a brain. And what I mean by that is if you find some bug in your software and you go and patch it, you can be 99% sure, maybe 99.99% sure that bug is solved. Not a problem. If you go and try to do that in your AI system…”
Sander Schulhoff Dec 21, 2025 ▶ 41:27 Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO
Schulhoff: Containerizing AI-generated code execution fully neutralizes prompt injection risks
“And then they'd be like, oh, you know, they, you know, they'd realize we can just dockerize that code run put it in a container. So it's running on a different system and take a look at the sanitized output. And now we're completely secure. So in that case, pr…”
Sander Schulhoff Dec 21, 2025 ▶ 53:37 Why securing AI is harder than anyone expected and guardrails are failing | HackAPrompt CEO
Suleyman Rejects Inevitability Of AI Exceeding Human Control
“And I think in some of the rhetoric in the last few years, you can feel that there's a little bit of like you know, a kind of creeping assumption that it is inevitable that These kinds of systems exceed our control and our capability and move beyond us as a sp…”
Mustafa Suleyman Nov 12, 2025 ▶ 3:28 Could LLMs Be The Route To Superintelligence? — With Mustafa Suleyman
NO PRIORS Insight
Ramaswamy: AI agents should use specialized tools over maximalist LLMs
“A smarter person is going to say, no, they should not do math. Instead, I should write the two lines of Python, which I know how to, you know, direct and run the Python in order to solve the math problem. I think of trust in a very similar way. There are well-…”
Sridhar Ramaswamy Nov 6, 2025 ▶ 40:13 No Priors Ep. 139 | With Snowflake CEO Sridhar Ramaswamy
Emmons: Moving Beyond Chat to Agentic Work Is AI's Key Unlock
“Cause the big unlock that most people have yet to experience is going beyond chatting with an AI system to having it work for them. But most people I find have a really hard time of cresting the idea of Having it do work for you without going through these bab…”
Shane Emmons Nov 4, 2025 ▶ 17:30 Building Trustworthy AI: Navigating the Challenges and Future of Agentic Software with Shane Emmons
20VC Prediction Not checkable as stated
Pineau: Human-guided AI training is a permanent necessity, not a phase
“I don't think it's a phase in the sense that I do think this partnership, we'll call it, between humans and machines, where humans provide guidance to machine, like, we are in this for a long time. What will change is the nature of the information that the AI …”
Joelle Pineau Nov 3, 2025 ▶ 35:14 Cohere's Chief AI Officer, Joelle Pineau: Why Scaling Laws Will Continue & Future of Synthetic Data · 20VC with Harry Stebbings
MAD Assertion Not checkable as stated
Top AI serving companies achieve 70% to 90% gross margins
“There are companies here that are making very, very good margins on serving their AI systems, like, 7080, sometimes 90%, depending on the modality and so, like with everything, the average number sucks but, like, when you look at the best companies, it's reall…”
Nathan Benaich Oct 30, 2025 ▶ 13:12 State of AI 2025 with Nathan Benaich: Power Deals, Reasoning Breakthroughs, Real Revenue
a16z Prediction Not checkable as stated
Hoffman: AI agency and goal-setting capabilities are almost certain
“I think agency and goals is almost certain. There is a question. I think this is one of the areas where we want to have some clarity and control. That was a little bit like the kind of question of what kind of compute fabric holds it together because you can't…”
Reid Hoffman Oct 20, 2025 ▶ 31:45 Reid Hoffman on AI, Consciousness, and the Future of Labor
a16z Prediction Open · timeframe Oct 2030
Andreessen: AI will eventually generate a full movie adaptation of Atlas Shrugged
“Maybe what we need is the AI system where you feed the novel and it makes the movie. You know, which, by the way, first, you know, now, now that I say that, like, for sure that's gonna happen.”
Marc Andreessen Oct 17, 2025 ▶ 1:03:18 Marc Andreessen on the State of Film and Hollywood
a16z Prediction Not checkable as stated
Labenz: AI will outperform average developers on standard apps within five years
“But I would be very surprised if you can't get your nuts and bolts Web app, mobile app type things spit out for you for far less and far faster than, and probably honestly with significantly higher quality and less back and forth with an AI system than, you kn…”
Nathan Labenz Oct 14, 2025 ▶ 44:58 Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
AI21 CTO: AI systems must be model-agnostic and action-oriented
“AI systems need to be model agnostic. They shouldn't care about which model that they use, and they should look at what I call actions, which is a combination of a model with a prompt and maybe a set of tools that it can use and say, what can an action do for …”
Barak Lenz Oct 11, 2025 ▶ 31:46 Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21
SOURCERY Insight
Siddharth: Enterprise AI does not require 100% accuracy with human oversight
“I feel like the self-driving car industry did a lot of damage to AI in one particular way, which is it because with self-driving cars, 99% accuracy is not enough. That, that last one percent really matters. But with a lot of AI systems, if you're automating th…”
Jonathan Siddharth Oct 10, 2025 ▶ 32:59 Inside The $2.2B AI Research Accelerator | Turing · Sourcery with Molly O'Shea
LATENT SPACE Assertion Not checkable as stated
Eric Ries: AI systems cannot reliably fact-check long documents
“Fact checking a long document is still well outside the capabilities of most AI systems because, you know, for the attention reasons, but if you're working in sections, it's really easy to be like, while I'm here,”
Eric Ries Oct 2, 2025 ▶ 33:26 The antidote to AI fatigue — Answer.ai Solveit
Rajpal: AI simulations should prioritize product KPIs over generic safety metrics
“So I would actually say that like a lot of the things to simulate are more aligned with like product KPIs or product metrics that actually make Whatever AI system you're building very sticky, rather than, you know, focusing more on, like, traditional safety se…”
Shreya Rajpal Sep 25, 2025 ▶ 5:54 ⚡️Snowglobe: Simulations for your AI
ALL-IN Prediction Not checkable as stated
Hassabis predicts AI energy benefits will outweigh consumption within a decade
“I think AI systems will give back a lot more to energy and climate change and these kind of things than they take in terms of efficiency of grid systems and electrical systems, material design, new types of properties, new energy sources. I think AI will help …”
Demis Hassabis Sep 12, 2025 ▶ 30:39 Inside Google DeepMind: AGI, Robotics, & World Models Explained - Demis Hassabis
a16z Assertion Not checkable as stated
Casado: High-performing AI systems still require human oversight
“I've still yet to see a system where you, they perform very well and you don't draw a circle that doesn't have a human being in it somewhere.”
Martin Casado Aug 25, 2025 ▶ 5:51 Aaron Levie and Steven Sinofsky on the AI-Worker Future
LATENT SPACE Prediction Not checkable as stated
Huber: Offline compute driving continuous AI self-improvement is a sure bet
“Like, the idea that there's going to be, like, a lot of offline compute and inference under the hood that helps make AI systems continuously self-improve is a sure bet.”
Jeff Huber Aug 19, 2025 ▶ 42:09 Long Live Context Engineering - with Jeff Huber of Chroma
a16z Insight
Midha: AI models should be viewed as biological systems, not traditional software
“You got to think about these AI systems as almost biological systems that are grown, not coded up, right?”
Anjney Midha Aug 15, 2025 ▶ 34:23 The Current Reality of American AI Policy: From ‘Pause AI’ to ‘Build’
BIG TECHNOLOGY Prediction Not checkable as stated
Prince: Strangling publisher incentives will eventually degrade AI systems
“If we strangle off the business model of those places, if we strangle off the incentives for content to create for content creators to create content, then we're actually going to end up strangling the AI systems as well, because there's, if there's no content…”
Matthew Prince Aug 13, 2025 ▶ 9:28 Can We Save The Web From AI? — With Cloudflare CEO Matthew Prince
WE LIVE TO BUILD Assertion Not checkable as stated
Twa: Sprint's early knowledge management systems became the basis of modern AI
“We launched the first, you know, knowledge management powered system in a corporate enterprise within Sprint. Kind of set the industry standard for creating and organizing knowledge, which became the basis of today's AI systems.”
Neil Twa Aug 12, 2025 ▶ 28:26 30,000 Units a Year, 17 Competitors: How Neil Finds Products With Amazon's Own Data
a16z Prediction Not checkable as stated
Martin Casado: Formal computational bounds will eventually demystify AI systems
“When it comes to computer systems, we can put formal bounds on them. We can do this information theoretically. We can do this computationally. And like, that's gonna come, and once that happens, we will understand these systems fully, and it'll be very hard to…”
Martin Casado Jul 28, 2025 ▶ 28:27 Balaji Srinivasan: How AI Will Change Politics, War, and Money
Sam Lessin: The best AI data strategy is intentionally showing wrong information
“I actually think the best strategy is just tell people wrong things. So they feel the need to correct you, right? So like, there's a whole neural path We're like, people will spend infinite attention on that very happily, right? If there's just an opportunity,…”
Sam Lessin Jul 25, 2025 ▶ 11:35 #109 OpenAI vs Google: The Real Business Model War Begins · More or Less Podcast
Yakovenko: Public AI models inevitably suffer worst-case adversarial misuse
“I think these are kind of growing pains for AI systems that have public access. Like it's just Sam has built systems that have untrusted user inputs. As soon as you build one of these, people will do the worst possible thing just, you know, for fun, for whatev…”
Anatoly Yakovenko Jul 11, 2025 ▶ 42:01 #107 Crypto Isn’t for Everyone (And That’s a Good Thing) with Anatoly Yakovenko · More or Less Podcast

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