Expectations of broader AI capabilities and faster research

“my guess is that by the end of this year there'll be something that can sort of like kind of do that but unreliably and that if you actually like tried to use that to run your life it would make some hilarious mistakes they would appear on twitter and go viral but that like the MVP of it will probably exist by this year like there'll be like some twitter thread about someone being like I plugged in this agent to like run my party and it worked”

Expects: An AI agent will be able to handle a task such as organizing an office happy hour, but unreliably. · by 31 Dec 2025 · not yet resolved

“i probably think by the end of this year they're going to be able to do that”

Expects: AI systems will probably be able to book a flight by the end of 2025. · by 31 Dec 2025 · not yet resolved

“We continue to disagree about what the next couple of years are going to look like. I think that while I think it's going to look more like AI 2027, where rather than sort of like tapering off and running into sort of rather than the limitations that you're talking about becoming bottlenecks that the companies can't work. can't work around i think that they're going to be more like a series of road bumps that the companies sort of like bash through uh”

Expects: The speaker expects that over the next couple of years, companies will continue pushing through road bumps in AI development rather than being halted by limitations they cannot work around, resembling the scenario in AI 2027. · 24 Jun 2025 – 24 Jun 2027 · not yet resolved

“new technologies and blah blah blah blah blah eventually you get and by eventually i mean in only a few years uh you get to a completely automated wonderful economy of all sorts of new technologies that have been iterated on and designed by super intelligences material needs are basically just met for everybody you know there's just an incredible abundance of wealth uh to distribute and uh you know things like curing all sorts of diseases”

Expects: Superintelligences could, within only a few years, design and iteratively improve technologies that enable a completely automated economy, meet nearly everyone’s material needs, and create abundant wealth to distribute. · 24 Jun 2025 – 24 Jun 2028 · not yet resolved

“And soon, in a couple of years, perhaps we will get to the point where you can have that whole self, you can have a self replicating system that is entirely machine run with AIs and robots.”

Expects: The economy may become a self-replicating system run entirely by AI and robots. · 8 Sept 2026 – 8 Sept 2028 · not yet resolved

“I think it might be useful to think of our timelines as being like 2070, 2100. It's just that the last 50 to 70 years of that all happened during the year 2027 to 2028 because we are going through this intelligence explosion.”

Expects: The speaker suggests that an intelligence explosion in 2027–2028 will compress roughly 50–70 years of progress—comparable to reaching 2070 or 2100—into those two years. · 1 Jan 2027 – 31 Dec 2028 · not yet resolved

“we expect this research multiplier such that decades of progress happen within this one year, 2027 or 2028.”

Expects: A research multiplier could compress decades of progress into one year in 2027 or 2028. · 1 Jan 2027 – 31 Dec 2028 · not yet resolved

“yeah maybe there's not an answer and this is this is really what it comes down to but i how will we know that we've solved it seems like a very cruxy question i think we're gonna be in this very high stakes situation next year maybe the year after that maybe the year after that where we'll be like okay ai's have automated ai progress it's going 3x faster”

Expects: AI may automate AI progress and make it proceed three times faster, creating a high-stakes situation, next year or possibly the following year. · 1 Jan 2027 – 31 Dec 2028 · not yet resolved

“And our claim is, yes, in the next few years, that sort of thing will be achievable.”

Expects: AI capable of broadly substituting for humans in knowledge and physical work will be achievable within the next few years. · 8 Sept 2026 – 8 Sept 2029 · not yet resolved

“You know, is it possible that in the next few years we will have AIs that are like humans in the cloud and they can just do all sorts of knowledge work in a way that substitutes for humans, including AI research, for example?”

Expects: AI systems could perform a broad range of human-substituting knowledge work, including AI research, as humans in the cloud. · 8 Sept 2026 – 8 Sept 2029 · not yet resolved

“But I'm worried about a world where it's 2030 and the government's like, we're going to wait six months before you can release your model to the public.”

Expects: The government may impose a six-month delay before AI models can be released to the public. · by 31 Dec 2030 · not yet resolved

“like already the pace of progress is incredible like even if we don't get any uplift like you said things are going to go much faster by the time we get to 2030 we don't even we don't even know what that world looks like i think if we get a 3x uplift from internal acceleration that is that is massive like whereas we're right now we're these saying you know think about where you were three years ago if we get there if we make that progress in one year like that's that's huge”

Expects: The speaker expects work to be much faster by 2030, even without an internal-acceleration uplift. · by 31 Dec 2030 · not yet resolved

“The AI is not quite there yet, but I'm fairly confident in three to five years, all those constraints will be gone and then applying.”

Expects: The relevant constraints on AI will probably be gone in three to five years. · 14 Sept 2029 – 14 Sept 2031 · not yet resolved

“okay stepping back i buy the idea that you could have much faster ar and d than we currently have i'm not sure if you get like gpt3 to mythos holding compute and data constant within a year but i'm like okay it could be like suppose it's half of that and if we just if we even manage to continue the current trajectory of ai progress as a result of ar and d um it would be fucking insane in five ten years in ways that i don't i don't think people like appreciate um because i don't know people appreciate”

Expects: A half-sized acceleration in AI R&D, if it sustains the current AI-progress trajectory, would produce astonishing progress within five to ten years. · 11 Aug 2031 – 11 Aug 2036 · not yet resolved

Expects: AI research and development could accelerate substantially compared with its current pace. · no date given · not yet resolved

“that a few years down the line by the mid 2030s or earlier you would have many earth's worth of human level intelligences within each lab and they'll probably be qualitatively superhuman right like it just but anyways this is like a base case i don't know yeah yeah”

Expects: By the mid-2030s or earlier, each AI lab could have computational capacity equivalent to many Earths' worth of human-level intelligences, which would probably be qualitatively superhuman. · by 31 Dec 2036 · not yet resolved

“our story in AI 2040 is basically between 2030 and 2040 we're going to we're going to do this buying time we're going to rely on control we're going to have the human level AIs we're going to use those human level AIs to make a bunch of progress on alignment but also on other things and then by 2040 in the story we've made enough alignment progress where it's like hey okay we really don't need to rely on control therefore we can scale to these like sort of wildly superhuman AIs where we're really relying on alignment and if we were to try to control them Both of them would totally fail because if they were misaligned, they would be able to like completely subvert our control measures.”

Expects: In the speaker’s AI 2040 scenario, people use human-level AI and control from 2030 to 2040 while advancing alignment, and by 2040 alignment progress is sufficient to scale to wildly superhuman AI that relies on alignment rather than control. · 1 Jan 2030 – 31 Dec 2040 · not yet resolved

“like or not 40 years but 70 years you know remarkable progress there will be i think periods of ai progress that exceed the last few years i know that the last few years feel like a lot to a lot of people but i think in hindsight you know 30 years from now ai will be enormously ahead of where we are now i mean almost on any of these kinds of projections right and we will be like yeah a bunch of stuff happened and they were really proud of themselves”

Expects: The speaker expects future periods of AI progress to exceed the progress of the last few years, and expects AI to be enormously more advanced in 30 years. · 24 Jun 2025 – 24 Jun 2055 · not yet resolved

“and you just continue that on i mean i know if that's been powered by huge amounts of compute scaling and so forth but um uh it would be weird if like it just didn't get to the point where it could like dominate humans at least in r&d especially over the next few years there's going to be ryan greenbaum was on the podcast recently and he made this point that you could imagine as ais get more and more capable and are capable of making progress on”

Expects: The speaker expects that continuing AI progress since 2012, supported by substantial compute scaling, would likely lead AI to dominate humans in research and development, particularly over the next few years. · from 11 Sept 2026 · not yet resolved

“I mean and so like a lot of these like high level points that we've learned from history they would just be able to figure out from first principles and then secondly they would just be better at learning by doing than us and this is a really important thing like if you think you're bottlenecked on learning by doing well then if you have a mind that needs less learning less doing to achieve the same amount of learning that's a really big deal you know and i do think that learning by doing is a skill some people are better at it than others and super intelligence would be better at it than the very best of us”

Expects: Superintelligences would be better at learning by doing than even the best humans. · no date given · not yet resolved

“Involved in this race against time, we're going to be asking the AIs to solve alignment for us.”

Expects: People will ask AI systems to solve alignment in a race against time. · no date given · not yet resolved

“Like I think if I asked you, could we solve this problem by the year 2100? You would say, oh yeah, by 2100, absolutely. And we're just saying that the year 2100 might happen earlier than you expect. because we have this research progress multiplier.”

Expects: Advances comparable to those expected by 2100 might arrive earlier than expected because of a research-progress multiplier. · no date given · not yet resolved

“But I think if we do see this in five years, it will look like, yeah, the AI is, we're able to simulate more things than humans in a gradually increasing way so that if humans are now at 50% simulation,”

Expects: If the five-year scenario occurs, AI will progressively surpass humans in its ability to simulate things. · no date given · not yet resolved

“expand it separately from everything else. We do kind of predict that the superintelligences will be somewhat distributed throughout the entire economy, trying to expand everything, obviously more effort in things that they care about a lot, like robotics.”

Expects: Superintelligences will operate throughout the economy, broadly expand it, and concentrate more effort on priorities such as robotics. · no date given · not yet resolved

“I think that just the default of limitless prosperity is that people do mindless consumerism. I think there's going to be some incredible video games after super intelligent AI.”

Expects: The speaker expects superintelligent AI to enable the creation of incredible video games. · no date given · not yet resolved

“The AIs are going to be solving alignment because they want to align, even if they're misaligned, they want to align their successors. So they're going to be working on that.”

Expects: AI systems, including misaligned systems, will work on alignment to align their successors. · no date given · not yet resolved

“But then some people are not going to want to deploy it or some people are going to have norms and laws and cultural things that are going to make it so that AI is not able to be widely deployed in their economy or not as widely deployed as otherwise might be.”

Expects: Some people may resist deploying AI, and norms, laws, or cultural factors may prevent or limit AI deployment in their economies. · no date given · not yet resolved

“And the end product of that explosion is not only an AGI, but something that is superhuman potentially.”

Expects: An intelligence explosion could produce systems beyond AGI that are potentially superhuman. · no date given · not yet resolved

“Yeah, I mean, I do expect that.”

Expects: AI systems attain superhuman capabilities, as the speaker expects. · no date given · not yet resolved

“they are just aren't smart enough to be onboarded as full workers but once they are i just imagine for my own like the kinds of things i try to hire for it would just be such an unlock it”

Expects: AI systems becoming capable enough to be onboarded as full workers will be a major unlock for the roles the speaker hires for. · no date given · not yet resolved

“human labor in general we just need to automate the things which are necessary to fully close the R&D cycle needed to make smarter intelligences and if you do this you get a very rapid intelligence explosion”

Expects: Automating the tasks needed to complete the R&D cycle for smarter intelligences would produce a very rapid intelligence explosion. · no date given · not yet resolved

“The most informative thing to look at, and the reason for that is because I don't think that the fastest way to get to super intelligence is in a single leap where humans come up with the new paradigms in their own brains. I think rather it's going to be this more gradual process where humans automate more of the AI research process and then that gets us to the new paradigms fast.”

Expects: The speaker expects the fastest route to superintelligence to be gradual automation of more of the AI research process, rather than a single leap in which humans invent new paradigms unaided, and expects this automation to accelerate the arrival of new paradigms. · no date given · not yet resolved

“I mean, I think we all think that's going to happen.”

Expects: The discussed AI capability will eventually be achieved, according to the speaker. · no date given · not yet resolved

“you can just completely transform the economy,”

Expects: Superintelligent AI could completely transform the economy. · no date given · not yet resolved

“Like if you talk about three in a row, you should understand what a three in a row is. And I think we're missing something to get that. We will get it. Like, I don't think it's impossible.”

Expects: AI systems will eventually achieve the capability to understand concepts such as three-in-a-row, though the speaker does not guarantee that achieving it will be easy. · no date given · not yet resolved

“And I think eventually there will be a state change. I find it very hard to know when there will be a state change.”

Expects: The speaker expects a future state change in AI, but says its timing is very difficult to predict. · no date given · not yet resolved

Expects: Neurosymbolic AI will eventually undergo a state change, though the timing is very hard to predict. · no date given · not yet resolved

“What would AI look like two years before we achieved AGI or ASI or something like that? Certainly two years before we achieved ASI, we would have full solutions to all of those things.”

Expects: Two years before ASI is achieved, AI systems will have full solutions to all the cognitive problems the speaker listed. · no date given · not yet resolved

“We will get it. Like, I don't think it's impossible.”

Expects: The speaker believes AI will eventually acquire the missing capability to understand concepts such as three-in-a-row, while saying that achieving this is not impossible. · no date given · not yet resolved

“Yeah, so I guess I would say it feels to me like we're making progress on these things, or at least that these barriers are not going to be... uh barriers for long uh i think for example that maybe the”

Expects: The discussed limitations of AI probably will not remain barriers for long, as AI is progressing on them. · no date given · not yet resolved

“whole research lines was showing that humans in fact were pretty bad at all kinds of reasoning so he says humans are a low bar we're doing this panel i said yeah and machines still haven't met them they will someday they will exceed them there's no question about that in my mind it's a question of when and how and so forth but we really are a low bar because of the all of the kind of cognitive biases and illusions the problems with memory my book kluge was all about this kind of stuff”

Expects: Machines will eventually exceed human performance; the speaker is uncertain about when and how this will happen. · no date given · not yet resolved

“I just feel like there will be a gradual automation of a lot of things and superintelligence will be sort of like the extrapolation of that.”

Expects: Many activities will probably be gradually automated, with superintelligence representing an extrapolation of that automation trend. · no date given · not yet resolved

“at the same time you did move the economy to a regime where the progress was much faster and the exponential 10x and i expect a similar thing from ai where it's not like there's going to be a single moment where made the crucial invention”

Expects: AI will probably bring a shift toward faster economic progress comparable to the shift associated with earlier transformative technologies, but not through one sudden moment when a crucial invention is made. · no date given · not yet resolved

“So I do think we expect more and more autonomous entities over time that are doing a lot of the digital work and then eventually even the physical work, probably some amount of time later.”

Expects: Autonomous entities will perform an increasing amount of digital work over time and probably some physical work at a later point. · no date given · not yet resolved

“going to be able to do some of the things. It's going to fail at some other things. It's going to be gradually put into society and basically we'll end up with the same pattern is my prediction. I don't think that we will have this like discrete change. At the same kind of gradual diffusion of this across the industry.”

Expects: AI will perform some tasks but fail at others, and will be gradually adopted across society and industry rather than arriving as a sudden, complete transformation. · no date given · not yet resolved

“But this at some point will no longer be the case.”

Expects: AI eventually becomes capable of performing tasks that top human workers can perform. · no date given · not yet resolved

“that once and they're all quite similar to each other by the way because they've also been all trained on roughly the same data but if AIs are learning from experience and that experience is different between not only different AI companies but also between different instances of the same AI model we could actually see a lot of diversity come out the other end in this world and this would be I think a net good outcome I think one of the things to worry about in the future is just having this monolithic singleton that's”

Expects: AI systems could become more diverse if they learn from experiences that differ across companies and across instances of the same model. · no date given · not yet resolved

“the diversity of AI minds will increase.”

Expects: AI systems will become more diverse in their learned behavior or characteristics. · no date given · not yet resolved

“And so my sense is the AIs are just improving at all of these things, their taste is improving, their intuition is improving.”

Expects: The speaker believes AI systems are improving across the discussed capabilities, including research taste and intuition. · no date given · not yet resolved

“um they're you know just less capable of these tasks but that bites less hard for capabilities because making AI is more capable has a bunch of verifiable components that the eyes are going really hard at and so then these eyes are getting more and more capable while we understand what's going on with AI development less and less and this is happening over a pretty fast period of time even just the current rate of progress is I think pretty scary um and then eventually we get to these eyes that are very superhuman uh now these eyes are now in a position where”

Expects: Ryan Greenblatt's scenario eventually reaches AI systems with very superhuman capabilities. · no date given · not yet resolved

“Things and then eventually you got to a point where the eyes are very superhuman or at least quite superhuman”

Expects: The scenario could eventually produce AIs that are very, or at least substantially, superhuman. · no date given · not yet resolved

“right yeah maybe there's like some slowdown in ai progress or the deployment of ai”

Expects: Regulation may slow AI progress or the deployment of AI. · no date given · not yet resolved

“mean maybe you educate people right and maybe if they're smarter they're progressing ai faster but anyways like you're going to have real world constraints on the progress and development and an employment of AI, even though it will happen eventually.”

Expects: Real-world constraints will limit the progress, development, and deployment of AI, although AI will eventually be adopted. · no date given · not yet resolved

“slow takeoff is is you know at least my hope possible because everything in the economy and regulatory world like government saying don't release your models government saying actually you can't even use your models internally that much because that's going to happen soon”

Expects: The speaker hopes that a slow AI takeoff remains possible, potentially because economic and regulatory constraints—including government restrictions on releasing models and using them internally—may arise soon. · no date given · not yet resolved

“And I will say, I also have a wide distribution of when RSI really kicks off or when we get AI systems that are dominating human experts across the board. But the thing that feels concerning to me is that a slightly more capable agent swarm that”

Expects: The speaker is highly uncertain about when recursive self-improvement will take off or when AI systems will outperform human experts across all domains. · no date given · not yet resolved

“And AI companies are and increasingly will be just the most important places in the world. world because they're you know printing off these AI systems that are then like you know the most soon to be more intelligent than any human they'll be essential in any military operation they'll be adopted by the government and that is really where I think like governance should be focused for the most part because frontier systems are just that much more”

Expects: AI companies will become more important as they produce AI systems expected to surpass human intelligence, become essential to military operations, and be adopted by governments. · no date given · not yet resolved

“Exactly. And forget about evaluation. I mean, eventually these models will be in deployment.”

Expects: These AI models will eventually be deployed. · no date given · not yet resolved

“Yeah, so my view is yes. basically they guys will be able to uh everything or at least everything that really matters so there is yeah you mentioned the notion of bullshit jobs i would i would just sort of start with let's consider everything we need to make better ais as maybe like a first step of like which is a large chunk of the economy so for example for this what you need you need to be able to build bigger better chips and more chips and that's the entire semiconductor supply chain to build semiconductor supply chain you need”

Expects: The guest believes AI agents will probably become able to do everything, or at least everything that really matters. · no date given · not yet resolved

“and so from our perspective like that's going to happen at some point because there's nothing fundamental stopping the ais from sort of reaching this human level of capability”

Expects: Companies will eventually prefer AI labor over human labor, as AI reaches human-level capability; the speaker presents this as a prediction based on there being no fundamental barrier to that capability. · no date given · not yet resolved

Expects: AIs will eventually reach human-level capability, as the speaker expects this to happen because he sees no fundamental barrier preventing it. · no date given · not yet resolved

“And then basically the sort of important high level claim is ultimately we're going to need alignment. we're sort of going to need to solve alignment.”

Expects: AI alignment will ultimately need to be solved. · no date given · not yet resolved

“And so one way or another, it seems like there has been massive progress. The progress and I expect that to continue”

Expects: The speaker expects AI's progress to continue, without specifying a measurable outcome or timeframe. · no date given · not yet resolved

“And so I do just think actually the most likely future is just that there's a single model that's been trained on effectively the whole economy and is just dominating humans across the board at effectively everything.”

Expects: One AI model trained on effectively the whole economy will probably dominate humans across effectively all areas. · no date given · not yet resolved

“just don't have any demand anymore or whatever if you have the level of ai and robot capabilities such that you can have these fully autonomous ais and robots doing all the things then even just like A company like Anthropic, if it's big enough, and maybe if it partners with various other companies like some mining companies, can get this whole self-sustaining thing going.”

Expects: If AI and robotics become capable of fully autonomous work, a sufficiently large company such as Anthropic, possibly in partnership with mining companies, could establish a self-sustaining industrial system. · no date given · not yet resolved

“way then yeah like maybe it has more of a normal technology it'll be like the next internet or something you know um but we just think that actually it's on a path to get to that level of capability soon i”

Expects: The speaker believes AI is on a trajectory to soon reach capabilities in knowledge work and robotics that can substitute for human workers. · no date given · not yet resolved

“and sort of there's going to be this continuous process of expanding out through the different types of problems and different like how like exactly how verifiable each task is until you get sort of sort of everything that humans could do because after all we humans do learn how to do these long horizon tasks somehow”

Expects: AI capabilities will expand across problem types and degrees of verifiability until they encompass the tasks humans can perform. · no date given · not yet resolved

“feedback loops and i guess my view is that we're sort of going to get this continuous expansion of what the ads can do driven probably in part by uh you know an expansion in the amount of rl and the type of rl”

Expects: AI capabilities will probably continue to expand, driven partly by increases in the amount and variety of reinforcement learning. · no date given · not yet resolved

“And also I don't think we'll stop there. I think we'll go superhuman.”

Expects: AI will probably progress beyond human-level cloud workers and eventually become superhuman. · no date given · not yet resolved

“and then they will create environments they will like you know do a big post train of kimi k3 um they will go deploy it they might do some online learning as well like composer did online basically like reinforce for a long time um so yeah like there's still a human in the loop there's still a human saying okay these are the signals we care about here's how we're going to create environments from the data that we have and there's like still a longer cadence than maybe the one that you're thinking of but like it really is happening and like eventually that loop will become like faster and faster”

Expects: Deployment-feedback training loops, which the speaker says are already occurring at a relatively long cadence, are expected to become progressively faster over time. · no date given · not yet resolved

“In AI, which dominates top human experts across every single field of work that can be done over computer. So not only AI research, but all cognitive work. and not just like short horizon work but like literally if it takes like three years or something the AI will still do better than humans yeah”

Expects: AI will outperform top human experts in all computer-based fields, including tasks that take about three years to complete. · no date given · not yet resolved

“exactly right yeah that's the number often is quoted and like I think more inventions will happen there that then will accelerate the takeoff even further”

Expects: The speaker expects further inventions to probably accelerate the AI takeoff further. · no date given · not yet resolved

“as well as the inference because i think we will when you allow ai to do the work that it takes other labs thousands of people and years to do i think we'll be able to get it down to weeks and that will be much much cheaper um and hence you know more affordable accessible to others and so on”

Expects: AI could reduce research work that requires thousands of people and years at other labs to a matter of weeks, making that research much cheaper and more accessible. · no date given · not yet resolved

“In biology, there's so much like, I think, soon to be lower and lower hanging fruit because of AI, because of protein generation, not just folding, but actually generating new proteins like we did in Progen many years ago,”

Expects: AI will soon probably make more biological research opportunities accessible, in part by generating new proteins rather than only predicting protein folding. · no date given · not yet resolved

“I think we're going to just see this all the time where humans automate the thing a lot and then some AI team comes in and just becomes number one.”

Expects: The speaker expects to repeatedly see AI teams take the top position in challenges after humans have automated the task. · no date given · not yet resolved

“yeah and that just makes complete sense as the technology matures and over time it will become so good that people will not want to slow things down by having a human in the loop and then the need to make promises will drop”

Expects: As AI video technology improves, users will increasingly avoid human-in-the-loop review to prevent delays, reducing the need for assurances or promises. · no date given · not yet resolved

“a video to the internet but eventually that will also happen”

Expects: Eventually, people will publish AI-generated videos online without a human reviewing each video. · no date given · not yet resolved

“It's unclear how much faster things go. I definitely think they go a lot faster.”

Expects: Progress will become substantially faster, though the speaker is uncertain about the magnitude of acceleration. · no date given · not yet resolved

“The AIs are jagged, but as they get better, they get better across the board.”

Expects: The speaker believes AI capabilities are uneven, but improve across the board as AI systems become more capable. · no date given · not yet resolved

“i think that that acceleration will continue i think a lot of people in the field like have very high error bars on this sort of thing if you if you had to put a gun to my head and like ask me for a number like i could see things going 3x faster and”

Expects: AI-related acceleration in work is expected to continue. · no date given · not yet resolved

Expects: A threefold increase in work speed is plausible, though the speaker acknowledges substantial uncertainty. · no date given · not yet resolved

“And we've reached human level, we're going beyond human level potentially.”

Expects: AI may have reached or surpassed human-level capability during the anticipated high-stakes period. · no date given · not yet resolved

“So I do think things go faster.”

Expects: AI-related work will probably proceed faster. · no date given · not yet resolved

“And over time, it is possible that they're just better across the board.”

Expects: AI systems may eventually outperform humans across the board. · no date given · not yet resolved

“go and i think this is this is somewhere something where we disagree on i think that we do see a speed up and i think we see a significant speed up um but i don't think it's like an overnight intelligence explosion that we go like 100x faster because i think that we do get bottlenecked by certain Certain limitations that are not bottlenecks of intelligence.”

Expects: The speaker expects AI-driven research to accelerate significantly, but does not expect an overnight intelligence explosion that produces a 100-fold increase in the rate of progress. · no date given · not yet resolved

“And I think we can make progress much faster than before.”

Expects: The speaker expects an iterative process combining simulations, AI, and experiments to accelerate progress substantially compared with the past. · no date given · not yet resolved

“that yeah i mean it depends on you know what metric it is but it roughly i do think that the speed is probably four or more times faster than researchers just doing it alone and that'll probably accelerate so the amount of intelligence you can extract”

Expects: Depending on the metric, AI-assisted research is probably at least four times faster than researchers working alone, and its speed will probably increase further. · no date given · not yet resolved

“And I think that we now have the ability to massively accelerate scientific discovery. And there's always been this question of.”

Expects: The speaker believes AI now gives people the ability to accelerate scientific discovery substantially. · no date given · not yet resolved

“It can massively increase the parallelism. I think it can decrease so many of these steps in terms of their duration.”

Expects: AI can substantially increase parallelism and shorten the duration of many drug-discovery steps. · no date given · not yet resolved