AI systems

also referred to as: ai system

12 statements across 9 episodes · 4 bullish · 4 bearish · 9 people on the record · first statement May 15, 2023 by Yann LeCun · across every show →

Everything said about AI systems, oldest first

May 15, 2023 bullish
Prediction Not checkable as stated
LeCun: AI Systems Using Objective-Driven Planning Will Be Even Smaller
“And I think it's going to make even more progress because if we go towards the design of AI systems, perhaps along the lines of what I described with objectives and planning, I think those systems could actually be even smaller.”
Yann LeCun May 15, 2023 ▶ 27:54 Yann LeCun: Meta’s New AI Model LLaMA; Why Elon is Wrong about AI; Open-source AI Models | E1014 · 20VC with Harry Stebbings
May 15, 2023 bearish
Prediction Open · timeframe May 2028
LeCun: Human-level AI will not be achieved using autoregressive LLMs
“Well, so first of all, there is no question that eventually AI systems will understand the world in similar ways that, that humans do perhaps better ways but there will not be autoregressive large language models as a type that we're now talking about.”
Yann LeCun May 15, 2023 ▶ 11:31 Yann LeCun: Meta’s New AI Model LLaMA; Why Elon is Wrong about AI; Open-source AI Models | E1014 · 20VC with Harry Stebbings
Jun 30, 2023 neutral
Prediction Open · timeframe Jun 2033
Douwe Kiela: AI will displace the majority human workforce within 5-10 years
“If you look at how OpenAI and Anthropic and these places define AGI, it's as systems achieving capabilities that allow them to effectively do the work of humans for the majority of economically valuable human tasks. Then we're not that far away from it. And so…”
Douwe Kiela Jun 30, 2023 ▶ 52:02 Douwe Kiela: Why Data Size Matters More Than Model Size; Why Open Source Isn't Going to Win | E1032 · 20VC with Harry Stebbings
Aug 7, 2023 bullish
Prediction Not checkable as stated
Khosla: Analog compute is likely to reduce AI training costs by 100x
“Could one have analog computing, and we are working on that dramatically change that equation by a hundred X, both cost and power. And I think that's entirely not only possible, but likely.”
Vinod Khosla Aug 7, 2023 ▶ 20:33 Vinod Khosla: How AI Impacts Healthcare, Energy, Geo-Politics, Media and Climate Change | E1045 · 20VC with Harry Stebbings
Oct 6, 2023 neutral
Assertion Not checkable as stated
Rauch: Most successful AI systems are suggestive rather than authoritative
“And notice that a lot of the successful AI systems so far have been in the realm of being suggestive rather than authoritative.”
Guillermo Rauch Oct 6, 2023 ▶ 49:56 Guillermo Rauch: Why Great Companies are Defined by How Many Things They Say No To | E1069 · 20VC with Harry Stebbings
Jun 12, 2024 neutral
Assertion Not checkable as stated
Alex Wang: Current AI Systems Lack Zero-Shot General Intelligence
“No AI system today would be able to do that level of sort of, ah, you know, drag and drop in one situation to another situation and figure out what's going on.”
Alex Wang Jun 12, 2024 ▶ 10:05 Alex Wang: Why Data Not Compute is the Bottleneck to Foundation Model Performance | E1164 · 20VC with Harry Stebbings
Nov 4, 2024
Prediction Not checkable as stated
Altman: AI industry focus will shift from models to systems over time
“Maybe if I had to describe it, we will shift from talking about models to talking about systems, but that'll take a while.”
Sam Altman Nov 4, 2024 ▶ 24:24 Sam Altman: What Startups Will be Steamrolled by OpenAI & Where is Opportunity | E1223 · 20VC with Harry Stebbings
Nov 3, 2025 bullish
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
Apr 7, 2026 negative
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
Apr 7, 2026 negative
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
Apr 7, 2026 negative
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
Aug 29, 2026 positive
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
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,200 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.