The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 57 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 3 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Hassabis Predicts True AGI Is Five To Ten Years Away
“I think an AGI system would have to be able to do all of those things to really fulfill the original sort of goal of the AI field. And I think, you know, we're five to 10 years away from that.”
Hassabis: AGI Must Mean Matching All Human Cognitive Capabilities
“I don't think AGI should be sort of turned into a marketing term or for commercial gain. I think there is always been a scientific definition of that. My definition of that is a system that that can exhibit all the cognitive capabilities humans can. And I mean…”
Demis Hassabis expects Google spinout Isomorphic Labs to cure all diseases
“One is curing all diseases one day. Which I think we're going to do with isomorphic and the work we're doing there or our spin out, our drug discovery spin out.”
Demis Hassabis predicts AGI is three to five years away
“I think you know, I would say probably like three to five years away.”
Kantrowitz: Demis Hassabis Refocusing on Fundamental Science Is Good for AI
“So I actually think it's good for AI that Demis will be focusing more on the scientific side, probably more on the world model side and not deeply in LLM. So you'll have basically the talent that open AI and anthropic and potentially what's left of the AI orga…”
Hassabis: AI Has Significant Headroom Using Existing Architectures and Data
“Actually it turns out you can wring more more juice out of the existing Architectures and data. So there's plenty of room, I think, and we're still seeing that in both the pre-training, the post-training, and the thinking paradigms, and also the way that they …”
Hassabis: Reaching AGI Will Require One or Two More Fundamental Breakthroughs
“I'm definitely a subscriber to the idea that maybe we need one or two more big breakthroughs before we'll get to AGI, and I think they're along the lines of things like continual learning, better memory, longer context windows, or perhaps more efficient contex…”
Hassabis: AI Capable of True Scientific Invention Is Coming
“You know, that's, I think we don't have systems yet that can do that type of creativity. I think they're coming and these types of paradigms might be helpful in that things like thinking and then probably many other things.”
Hassabis: Reaching AGI may require one or two more new breakthroughs
“And I think to get all the way to something like AGI, I think may require one or two more new breakthroughs.”
Demis Hassabis acknowledges AI progress is slowing and taking longer
“Even Demis, you know, when you talk to him, he noted that he doesn't necessarily believe in, in, you know, a wall being hit, but he did acknowledge that things are slowing and it'll just take longer to get more, you know, juice out of the squeeze as it were.”
Demis Hassabis predicts upcoming AI agents will achieve Move 37-style breakthroughs
“I think the agent based systems that are coming, Will be capable of move-thirty-seven type things.”
Demis Hassabis predicts 2025 will be the year of AI agents
“Well, again, you know, I think the hype train can potentially is ahead of where the actual science and research is, but I do believe that this year will be the year of agents. The beginnings of it, I think you'll start seeing that you know lap, maybe second ha…”
Demis Hassabis sees 50 percent chance AGI requires new architectural breakthroughs
“Maybe we need one or two more transformer-like breakthroughs. And I, and I'm, I think I'm genuinely uncertain about that. So that's why I say 50%. So I mean, I wouldn't be surprised either way if we got there with existing techniques and things we already knew…”
Demis Hassabis confirms AI scaling returns are slowing but remain substantial
“My view is that we are getting substantial returns, but not, but it's slowing vis-a-vis, but it would have to, I mean, it's not just continuing to be exponential, but that doesn't mean the scaling is not working. It's absolutely working.”
Demis Hassabis predicts a virtual cell AI model will take five years
“I think that would be like maybe five years from now. Yeah. So I have a kind of five year project and a lot of the alpha fold, the old alpha fold team are working on that.”
Demis Hassabis says scaling base models alone will not produce AGI
“The model itself is not enough To be an AGI. You need this other capability for it to act in the world and solve problems for you.”
Demis Hassabis predicts AI will eventually discover room-temperature superconductors
“I think well I heard that we actually think there are some superconductor materials. I doubt they're room temperature ones though, but I think at some point, if it's possible with physics an AI system will one day find it.”
DeepMind CBO: AGI will traverse branching scientific problems at unimaginable scale
“Once we solve one problem that typically opens up and shows this kind of branching set of new problems, the AGI system will be able to kind of trans translate across that problem space at a speed and scale that we can't even imagine today.”
Kantrowitz: Demis Hassabis has stepped down as Google DeepMind CEO
“Demis Hassabis stepped down as the CEO of Google DeepMind.”
Demis Hassabis Steps Down as Google DeepMind CEO in Leadership Shakeup
“Demis Asabas is stepping down as chief executive for Google DeepMind to become chairman and chief scientist. Google CEO Sundar Pichai said in a post on X. Google DeepMind technology chief Koray Kavukcholu is taking on responsibility for all AI model developmen…”
Ibrahim: DeepMind's GNoME expanded known stable crystals from 40,000 to 400,000+
“The alpha genome, the alpha gnome, the one that you've just mentioned, our material science, was really exciting because we basically went from 40,000 known stable crystals to 400,000 plus. That are now being tested with research, in research and in labs.”
Hassabis: Almost every future drug discovered will probably use AlphaFold
“I think in future Almost every single drug that's discovered from now on will probably have used AlphaFold at some point in that process, which is, you know, amazing for us, and, you know, really, that's what we do, all the work we do for.”
Kantrowitz: Google will launch a major wearable push
“It's never been clearer that there's going to be a big wearable push within that company without a doubt.”
DeepMind CTO: AI algorithms and architecture matter just as much as scale
“When we are thinking about our architectures,
Like the architectural elements, the algorithms that we put in there that come, that make up the model, right?
They are as important as the scale.”
Kavukcuoglu: No major AI lab relies solely on scaling LLMs for AGI
“But also, I don't think that there's any research lab that is trying to only do scaling up the LLM.”
DeepMind CTO denies AI slowdown, says progress across the field remains stellar
“Rather than thinking about scaling only in one dimension, there's actually many different ways to think about it, and investing in those, and we can see the returns that I think across the field, really, not just not just here at Google, but across the field, …”
Gemini 2.5 Pro uses DeepThink to generate parallel hypotheses, not single chains
“It is a mode that we are enabling our 2.5 pro model so that, like, it can spend a lot more time during inference time to think, to build hypotheses, and the important thing is to build parallel hypotheses rather than a single chain of thought. It can build par…”
Hassabis: Test-time compute elevated AlphaZero from master level to superhuman
“We had versions of AlphaGo and AlphaZero with the thinking turned off, so it was just the model telling you its first idea. And, you know, it's not bad, it's maybe like master level, something like that, but then if you turn the thinking on, it's way beyond wo…”
Brin: Inference-time compute offsets 5,000x in training compute
“What they did with AlphaGo and AlphaZero, as you mentioned it showed, as I recall, something you would take 5000 times as much training to match what you were able to do with still a lot of training and the inference time compute that you were doing with Go.”
Hassabis: AGI Must Understand Emotion but Emulating It May Be Undesirable
“I think it will need to understand emotion. I don't know if I think it will be a sort of almost a design decision if we wanted to mimic emotions. I think there's no, I don't see any reason why it couldn't in theory. But it might be different or we might, it mi…”
DeepMind math AI achieves Olympiad silver medals despite making basic errors
“You have systems some systems that we work on, like alpha proof, alpha geometry, that are getting, you know, silver medals in maths olympiads, which is fantastic, but on the other hand, Some of our systems, those same systems are still making some fairly basic…”
Murdock: Merging LLMs and reinforcement learning will drive major AI breakthroughs
“I don't know exactly what the breakthrough will be, but I'm really excited about the union of these LLMs plus reinforcement learning. And I'm excited about that because I think there's a lot more to come from reinforcement learning. And I know at Google D mine…”
Ibrahim: Interdisciplinary teams pairing ethicists and scientists unlock breakthrough AI research
“We want to build interdisciplinary teams. How do you create a culture where you can have a bioethicist next to a computer scientist and a neuroscientist? Because we think that's really where the magic happens and unlocks the work.”
Ibrahim: Hassabis greenlit infusing learning science into Gemini when model matured
“Over the past few years, we've been doing a lot of work around one science area, learning science. How do people learn and can we improve it? And then this year was really, Dennis was like, okay, Gemini is good enough. It's time to infuse Everything we've done…”
Adler: Hassabis and Amodei would slow AI pace if they were sole players
“And so at Davos a few weeks ago, I think both Demis and Dario said some variation of, yeah, like if we were the only two groups building this technology, We would find a way to get together and figure out how to slow down this frantic pace. Like it's going too…”
DeepMind Plans to Converge All Modalities Into One Unified Gemini Model
“Why this is why we worked with Gemini as being multimodal from the beginning, able to deal with, you know, video, image and eventually converge that all into one model, that's our plan, is that it'll be very useful for a universal assistant as well.”
Kantrowitz: DeepMind and Yale Cancer AI Model Validated in Living Cells
“The DeepMind researchers in collaboration with Yale released a twenty seven billion parameter foundational model for single cell analysis. I'm not even going to try to name it. It's called C to S scale in shorthand. It's built on Google's open source gamma fam…”
Kavukcuoglu: Veo 2 is DeepMind's first video model to truly understand physics
“With VO two, I think for the first time we could comfortably say that for many, many cases, right, the model has understood the dynamics of the world well.”
DeepMind CTO: A 10% gain in mathematical reasoning vastly expands AI applicability
“So when we say by improving 10%, if we can improve 10% by its understanding in math, right, understanding of really highly complex reasoning problems, I think that is a huge improvement because then that actually expands the general knowledge that, that would …”
DeepMind CTO: Gemini and Veo are our primary pathways to AGI
“So like with Gemini models, with VO models, all those kinds of generative AI models and exciting things that is happening there. That's our main line of AGI research that's going on.”
DeepMind CTO: 'Vibe coding' allows non-programmers to easily build software applications
“I find it really exciting, right? Like, I mean, because, like, what it does is all of a sudden it enables a lot of people who are not necessarily, who do not necessarily have that coding background to build applications.”
Hassabis: First AGI systems must be safe to spawn secure derivative architectures
“Assuming there is one, you know, there probably will be some organizations that get there first, and I think it's important to, that those first systems are built reliably and safely, and I think after that, if that's the case, you know, we can imagine using t…”
Hassabis: DeepMind trained AlphaFold using 300,000 to 400,000 synthetic predictions
“Where there wasn't actually enough real experimental data to build the final alpha fold, so we had to build an earlier version that then predicted about a million protein structures, and then we selected, it had a confidence level on that, we selected the top …”
Hassabis: Tool use during test-time reasoning will be extremely powerful
“Especially if you think about, obviously, with an AI, during its thinking process, it can also use a bunch of tools, or even other AIs in, during that thinking process to improve what the final output is. So I think it's gonna be an incredibly powerful paradig…”
Murdock: DeepMind compares its AI mission to the Apollo project
“I think the comparison that I often hear is actually of the Apollo project, the space project... Well, maybe, maybe I hear it more because that's actually how Google DeepMind, we often think about it and talk about it.”