Mustafa Suleyman
18 statements across 1 episodes · 7 bullish · 7 bearish · 1 people on the record · first statement May 11, 2023 by Mustafa Suleyman · said 4 times in 3 episodes since 2023 · across every show →
On the record as a speaker too: Mustafa Suleyman's record, appearances and statements → this page counts the times other people say the name.
Mentions by year
brought up most by Reid Hoffman (2), Satya Nadella (1), Sarah Guo (1)
tap a year for its mentions
2026 1 mention in 1 episode
2024 1 mention in 1 episode
2023 2 mentions in 1 episode
Everything said about Mustafa Suleyman, oldest first
May 11, 2023 bullish
Humanity is nearing the limits of unassisted scientific invention
“We're sort of at the limit of what, you know, the smartest humans in the world are capable of inventing. And we have, you know, very pressing, urgent global challenges, you know, from food supply to water to decarbonization to clean energy,
Transportation, you…”
May 11, 2023 bullish
Future AI ecosystem will feature billions of models, not a few
“So I really don't subscribe to this view that there's going to be like one or five AIs. I think this is like completely misguided and fundamentally wrong. There are going to be hundreds of millions of AIs or billions of AIs, and they'll be aligned to individua…”
May 11, 2023 bearish
May 11, 2023 negative
OpenAI and Anthropic over-rotated on building single-agent systems
“I think in a weird way, it's over rotated the entire field on one aspect of intelligence, which is generality, you know, and I think open AI and then subsequently anthropic and others have taken up this default sort of mantra that like it, all that matters is …”
May 11, 2023 bullish
AI scaling and architectural efficiency will advance simultaneously
“Scale, building larger models is definitely going to deliver returns. We're obviously pursuing that. We have one of the largest supercomputers in the world you know, and at the same time, we're going to see much more efficient architectures, which are going to…”
May 11, 2023 negative
Twelve-week OKR cycles fail; six-week cycles maximize accountability and engagement
“And I found that most people make up the second half of their okay hours anyway, and a 12 week cycle is just too long and BS. So like six weeks is actually perfect and it creates a lot of accountability and a lot of fun.”
May 11, 2023
Suleyman: Platform design choices create choice architectures reframing human connection at scale
“There's a choice architecture here. There are significant design choices which are going to incentivize certain behaviors. Obviously at that point there wasn't really ranking, but even just having a thumbs up or like the choice of, you know, which button you p…”
May 11, 2023 positive
DeepMind's AlphaFold originated from an internal reinforcement learning hackathon
“That's part of the reason why we started the Alpha Fold project, because it was actually my group that was looking around for other applications of DQN-like, AlphaGo-like tools, and in a hackathon that we did one week someone stumbled across, across this probl…”
May 11, 2023 bullish
Central routing across specialized AI subsystems will unlock the field
“I think the key element that is going to really unlock this field Is actually going to be the router in the middle of a series of different systems which are specialized, some of which don't even look like AI at all. They might just be traditional pieces of so…”
May 11, 2023
DeepMind's founding goal was cross-domain transfer learning
“If I were to sort of summarize the core thesis of deep mind, it was that it would be possible to the motivation for generality was that you would be able to learn you know, a rewarding behavior in one environment and transfer in a more compressed or efficient …”
May 11, 2023
Frontier AI training compute grew nine orders of magnitude in nine years
“Over the last decade, the amount of compute that we've used to train the largest models in the world has increased by an order of magnitude every single year. So I went back and had a look at the Atari DQN paper that we published in. And that used just two pet…”
May 11, 2023 bearish
May 11, 2023 negative
Google inadvertently degraded internet content by optimizing for ads and SEO
“The problem with what Google has sort of, I guess, in a way accidentally done to the internet is that it has basically. Shaped content production in a way that optimizes for ads. And everything is now SEO'd to within an inch of its life.”
May 11, 2023 neutral
Suleyman and others aggressively pushed Google to launch LLMs in 2021
“While I was there, sort of in the last year in twenty-twenty-one, I tried pretty hard to get things launched at Google. We were all kind of banging on the table, being like, come on, this is the future, and you know obviously David Luan from Adept was also in …”
May 11, 2023 negative
Google search is an appallingly painful conversation mediated by blue links
“Conversation is the future interface. And Google is already a conversation. It's just an appallingly painful one, right? You say something to Google, it gives you an answer in 10 blue links. You say something about those 10 blue links by clicking on it. You, i…”
May 11, 2023 bullish
May 11, 2023 positive
Inflection AI achieves state-of-the-art performance on major non-coding benchmarks
“We run. Some of the largest language models in the world. We have state of the art performance across many of the main benchmarks with the exception of coding, because we don't have PI generate code and it's not a priority for us.”
May 11, 2023 negative
Social platform neutrality was a lie; AI will accelerate echo chambers
“I think that the platforms were never neutral. That was the big lie. And I think that was, frankly, to me, very obvious from the very beginning. The choice architecture is a ranking. It's not a clean feed. Clearly there's billions of bits of content, so you ha…”