Earlier quoted context omitted.
Your right, is Y Combinator youtube channel, the company that host HN. https://www.youtube.com/@ycombinator
I'm more concerned about the personal attack part.
Sorry I apologize and will try to be less argumentative.
John Jumper: AI is revolutionizing scientific discovery [video]
71–80 of 91 posts
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#72Awful title, great video. Three points jumped out 1) "really when you look at these machine learning breakthroughs they're probably fewer people than you imagine" In a world of idiots, few people can do great things. 2) External benchmarks forced people upstream to improve We need more of these. 3) "the third of these ingredients research was worth a hundredfold of the first of these ingredients data." Available data…
Yeah the title was the worst and the most disgusting part, and I'm saying this in totally positive sense. As soon as you catch that "DeepMind" name there, you know it's really about science and a crafted model, not a wannabe general intelligence.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#73On the same topic of AI helping scientific discovery there was this tweet yesterday
https://x.com/DeryaTR_/status/1972115494787338484
>...noticed an email from one of my PhD students sent more than eight years ago, outlining a highly complex immune cell experiment that would run for several weeks and asking me to make corrections
>...Incredibly, GPT-5 Pro would have been as good as, if not better than, me at making these corrections, interpretations, analyses, and follow-up experiment suggestions! The experiment would also have yielded better results thanks to more precise planning...
Maybe the era of AI speeding things is upon us. Maybe not so long till AIs are helping make better AIs?
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#74Earlier quoted context omitted.
Thank you for this context, should be the title IMO..
In the same vein, any link to Gary Marcus’s blog posts should be labeled “AI hater”, don’t you think?
People do that here, and mostly they are not downvoted or flagged (though sometimes they are).
But the important part is that the funding for "AI" skeptics is practically zero, whereas the funding for "AI" boosters is basically unlimited.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#75[flagged]
> Literally no one who is not connected to the "AI" industrial complex praises "AI". Why lying when one can easily find examples of exactly that? 1) https://www.ecmwf.int/en/about/media-centre/news/2025/ecmwfs... 2) https://pmc.ncbi.nlm.nih.gov/articles/PMC11510778/ But I’m sure you could find the connections to the AI industry complex somehow.
It is more difficult to trace the funding of these. Also of course if you label something "AI" even if it really isn't you automatically get funding.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#76On the same topic of AI helping scientific discovery there was this tweet yesterday https://x.com/DeryaTR_/status/1972115494787338484 >...noticed an email from one of my PhD students sent more than eight years ago, outlining a highly complex immune cell experiment that would run for several weeks and asking me to make corrections >...Incredibly, GPT-5 Pro would have been as good as, if not better than, me at making t…
If and when these tools become self-improving we have absolutely no idea what comes next.
Maybe its utopia, maybe its akin to an Eliezer Yudkowsky prediction, who knows. Regardless of the specific outcome, its a huge gamble with effectively unlimited risk.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#77Something else to add is mathematical discovery. There is a team that is very close to solving the Navier-Stokes Millenium Prize problem: https://deepmind.google/discover/blog/discovering-new-soluti... The cynists will comment that I've just been sucked in by the PR. However, I know this team and have been using these techniques for other problems. I know they are so close to a computationally-assisted proof of count…
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Re: John Jumper: AI is revolutionizing scientific discovery [video]
#78On the same topic of AI helping scientific discovery there was this tweet yesterday https://x.com/DeryaTR_/status/1972115494787338484 >...noticed an email from one of my PhD students sent more than eight years ago, outlining a highly complex immune cell experiment that would run for several weeks and asking me to make corrections >...Incredibly, GPT-5 Pro would have been as good as, if not better than, me at making t…
If and when these tools become self-improving we have absolutely no idea what comes next. Maybe its utopia, maybe its akin to an Eliezer Yudkowsky prediction, who knows. Regardless of the specific outcome, its a huge gamble with effectively unlimited risk.
The architecture of the current models where learning is a separate and very expensive process make runaway self improvement seem like something that will require a bunch of breakthroughs in order to happen.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#79Earlier quoted context omitted.
If and when these tools become self-improving we have absolutely no idea what comes next. Maybe its utopia, maybe its akin to an Eliezer Yudkowsky prediction, who knows. Regardless of the specific outcome, its a huge gamble with effectively unlimited risk.
The architecture of the current models where learning is a separate and very expensive process make runaway self improvement seem like something that will require a bunch of breakthroughs in order to happen.
That seems reasonable, but I'm not sure if we really know yet. If current models are given direction and control to change how the next model is trained or architected it seems plausible that they could stumble into such a breakthrough.
The current LLM approach makes huge assumptions, including that training only on text prediction is enough to simulate true intelligence. That may or may not be a valid assumption, but it could be enough for the LLM to make one seemingly small change that ends up running away from us faster than we would realize.
Re: John Jumper: AI is revolutionizing scientific discovery [video]
#80Earlier quoted context omitted.
If and when these tools become self-improving we have absolutely no idea what comes next. Maybe its utopia, maybe its akin to an Eliezer Yudkowsky prediction, who knows. Regardless of the specific outcome, its a huge gamble with effectively unlimited risk.
The architecture of the current models where learning is a separate and very expensive process make runaway self improvement seem like something that will require a bunch of breakthroughs in order to happen.
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