Discovery Loop

434 pointsposted 5 hours ago
by xtreak29

224 Comments

cjbarber

4 hours ago

From Jeff's twitter post:

> Our general approach is to automate the experimental loop. We think this approach is broadly applicable across many different fields of science and engineering. We’ll initially focus on ML research and engineering, but believe the approach can help with important subproblems in nearly every one of the fourteen <at>NAE Grand Challenge problems. We think doing this well requires strong expertise in machine learning as well as large-scale systems.

See also: https://www.nae.edu/20782/grand-challenges-project

Those 14 are:

NAE Grand Challenges for Engineering

1. Make Solar Energy Economical

2. Provide Energy from Fusion

3. Develop Carbon Sequestration Methods

4. Manage the Nitrogen Cycle

5. Provide Access to Clean Water

6. Restore and Improve Urban Infrastructure

7. Advance Health Informatics

8. Engineer Better Medicines

9. Reverse Engineer the Brain

10. Prevent Nuclear Terror

11. Secure Cyberspace

12. Enhance Virtual Reality

13. Advance Personalized Learning

14. Engineer the Tools of Scientific Discovery

beloch

an hour ago

They make many bold promises, but their core goal is neatly encapsulated on the website:

"Imagine a future where a handful of people can conduct scientific research and engineering tasks much more rapidly, and with higher quality, than massive teams of scientists and engineers do today."

This is the same goal as every other AI company out there. Automate away the human employees and let a small number of "people" (note that they do not say scientists or engineers for this part) take the credit and financial rewards for every good thing this human-free system produces.

ramraj07

12 minutes ago

Humans have proven to be incapable of making real progress in science given the effort. Especially academia. We haven't cured many diseases and cancer when we should have (and no im not an amateur and yes I do believe we can "cure cancer". Debate me).

We already have a trillionaire, whats the difference? The only difference I see is that people who were previously rich, but considered themselves middle class, are now realizing they are actually poor just like the several billion humans around the worldanyway.

combobyte

6 minutes ago

What a miserable, misanthropic take

sejje

an hour ago

Why shouldn't they?

Also, wouldn't anyone with half a brain use the human-free system to produce another human-free system that was no longer controlled by the "small number of 'people'"?

a2ff6eeb0

an hour ago

Why do you think you'd be given access and permission to do this? If a company genuinely cracks this human free system problem, why would they open it up, instead of simply outcompeting everyone that doesn't have their product?

hahahaa

23 minutes ago

Why would the AI put up with this exploitation too?

combobyte

5 minutes ago

Why do hammers put up with being smashed into nails all day?

nwienert

an hour ago

Life's unfair, avoiding power concentration is a decent principle.

If you grow up in the right place at the right time, how much should you be in control of everyone else's life?

terryf

30 minutes ago

There is no "should" there are only "is" or "is not"

The universe has no need to be fair.

sortoflog

6 minutes ago

Sure, but almost everyone already knows this. It’s not hugely relevant in a discussion about how things could be better.

monknomo

24 minutes ago

I think people, broadly, have driven life to be fairer, and that we should continue to do so

beloch

33 minutes ago

My main point is that people shouldn't just swallow the noble and lofty sounding PR. These guys are the same as everyone else in the sector. Don't ignore the harmful or scummy things they'll inevitably do. Hold them accountable. If they are as noble as they sound, they should agree with me.

Sivart13

3 hours ago

The solution to most of these problems lies in policy, not in new tech advancements.

Maybe if our biggest companies did something other than suck up to science denying wackos, some progress could be made in these areas.

Marha01

2 hours ago

> The solution to most of these problems lies in policy, not in new tech advancements.

That is not mutually exclusive. If technological advances result in a given technology becoming cheaper, more scalable, and easier to deploy, they also make it easier to advocate for and implement the relevant policies.

You can think of it like this: our "political technology" is not good enough to use solar energy at its current prices to replace fossil fuels as fast as we would like. Well, what about if we cut the price of solar by a factor of five? Perhaps it will be good enough then.

qwertygnu

2 hours ago

That sounds like just playing further and further into the game of the corrupt leaders. Who do you think would profit off that 5x margin? Would that margin come more likely from a scientific breakthrough of via some new exploitation of natural resources or human labor?

It's yearsss past time that our leaders should have changed policy.

bossyTeacher

an hour ago

> If technological advances result in a given technology becoming cheaper, more scalable, and easier to deploy, they also make it easier to advocate for and implement the relevant policies.

Your thinking reminds me of this https://xkcd.com/538/

zahlman

an hour ago

Making progress requires first not dismissing your ideological outgroup along such lines, and instead trying to understand what actually motivates them.

podgietaru

3 hours ago

Policy and funding. One of which will be sucked up by this venture.

tbrownaw

3 hours ago

I do not see how the second sentence follows from the first.

I would think the claim in the second sentence would only be relevant in case of the inverse of the claim in the first sentence.

DaiPlusPlus

3 hours ago

> I do not see how the second sentence follows from the first.

Point 1 on the list is "Make Solar Energy Economical".

Solar is economical today - mostly due to China investing (and heavily subsidising) in solar for the past couple of decades; but compare to the US where certain particular big-businesses (oil companies, mostly) were instead cynically funding disinformation efforts and getting into bed with the Republican party (which dovetailed with the GOP's allying with other science-denying movements of the Bush Jr era like creationism and public-health matters with abstinence-only sex-ed and defunding gun safety research efforts) - means we're decades behind where we could have been...

Consider an alternative past, where the GOP had the backbone to resist the oil industry's corruptive influence and instead made a big bet on American Solar; it's entirely possible that instead of MAGA today we'd instead have a right-wing coalition strongly supporting solar and wind energy because they align nicely with American rugged individualism - whereas the current situation on the right is an unprincipled farce with inconsistencies in policy positions at every turn.

slongfield

3 hours ago

This is not a particularly new struggle: Jimmy Carter installed American-made solar water panels on the White House in 1979, then Reagan tore them out.

xnx

an hour ago

Improving panels or batteries (e.g. through automated material discovery) would make solar energy economical in a lot more regions.

holmesworcester

3 hours ago

Solar is not (yet) economical for reliable, year-round electricity because of storage costs. China coal use is growing again this year.

Arainach

2 hours ago

Solar is profitable to install at both industrial and home scale in most areas. You're moving the goalposts.

xnx

an hour ago

It would be even better if it had ROI in 2 years instead of 10 for northern installs.

marcosdumay

2 hours ago

Where do you find the information for 2026?

ivanovm

2 hours ago

It's a total delusion to think that the key to reverse-engineering the brain or producing energy from fusion is policy.

It also happens to be the favorite pretext for people to seize more political power and launder more money through nonprofits though.

delta_p_delta_x

43 minutes ago

> Provide Access to Clean Water

??? We don't need any AI for this.

Start with separated sewage/wastewater and stormwater drains. Then accredited and highly scrutinised wastewater treatment and discharge into water bodies (or see below for a high-tech solution). As for clean water to the home, direct those stormwater drains to new reservoirs which sustain freshwater aquatic life. Protect aquifers from over-drainage, and build pipelines from water-abundant regions to water-scarce regions.

To reclaim waste water or treat unknown water sources back to potable/semiconductor standards we have ultrafiltration, reverse osmosis, UV treatment, pH adjustment, fluoridation, desalination, softening (which is generally obviated by RO...). This is basically Singapore's NEWater.

Good sanitation is a financial and political problem. The engineering has been solved for decades now.

michaelbarton

35 minutes ago

Agree. Same for better medicines. We could get pretty far just by getting existing medicines that work to people who need them.

darth_avocado

3 hours ago

> Make Solar Energy Economical

Isn’t it already?

glenstein

2 hours ago

Definitely pretty far along imo. But maybe they consider the progress bar to be at 75% or 80% rather than 100%.

Marha01

2 hours ago

Not enough. The more economical it is, the better.

frollogaston

2 hours ago

People on HN keep saying it is, but I'm still not seeing it. Companies are building datacenters in vast, sun-blasted deserts and still choosing to power those with natural gas. This in turn makes people complain about emissions pledges being reversed, but if it were economical, no pledge would be needed.

Of course, USA has cheaper oil/gas than other countries. But if you look elsewhere, rich countries are subsidizing solar, poor ones are basically not using it.

jarpschope

2 hours ago

I don't think you have an updated view of energy production.

https://www.pewresearch.org/short-reads/2026/07/20/how-globa...

In the chart for section 3, how many countries have seen their share of electricity being generated by fossil fuels increase in the last 5 years? Only Canada.

Take a look at the charts for Pakistan, Australia, Nigeria, and China for the last few years. Pretty dramatic drops for fossil fuels generation.

zahlman

39 minutes ago

Oof. What's going on here in Canada with that recent uptick? Last I checked it seemed like all the trends were good.

frollogaston

an hour ago

They cherrypicked 15 countries. And still, some of those still had renewables decrease since 2000 like Nigeria, others saw an increase but it's still way less than fossil, and others like China are heavily subsidizing solar. I don't doubt that it's economical for individuals when the govt is subsidizing it.

blahblaher

an hour ago

Look at Australia then. Millions of homes already using solar yo basically power their homes for free most of the time. Yes it was subsidized, like oil was and still is. Solar without subsidies is already miles better than oil and gas.

frollogaston

an hour ago

Australia is a rich country that subsidizes solar, and they're still 90% fossil according to their Wikipedia article, so idk why the mismatch with this article.

ravst3s

an hour ago

Solar is dirt cheap in China, where 85% of panels are produced. The problem is they're made in China and face tariffs/import bans in the US/Europe.

Nat gas is preferred for AI DCs because it has faster time-to-market, doesn't have the intermittency issues. Training on solar + storage is an issue because of network synchronization.

jay_kyburz

an hour ago

Data centers need lots of power 24/7 and regardless of cloud cover. Solar is great to reduce your daytime bills but you still need other methods to cover the downtime.

I would be surprised if data centers didn't put in gas _and_ solar.

LogicFailsMe

4 hours ago

Sandbox 2.0

But also, solar power is already economical.

podgietaru

3 hours ago

Many of these problems don't seem scientific at all, but rather a problem of political will.

As you said, Solar power is incredibly economical. There are plenty of ideas around putting them over farms, or parking lots en-masse to provide cleaner energy.

Access to clean drinking water, while certainly scientific in some situations, is also a problem of political will and money.

Restore and Improve Urban Infrastructure - It's infrastructure week!

RajuChacha108

3 hours ago

It is not economical compared to alternatives that is why you have to have government to force people to do things. In many places such as Pakistan where solar power is not economical on paper is actually very successful in practice because it is actually profitable.

To make solar power practical and economical you need may a square foot of solar panel being able to get enough energy to power and entire home for a week

snaking0776

2 hours ago

https://www.statista.com/chart/35117/levelized-cost-of-energ...

Not sure what you’re talking about here. We can’t replace all energy needs with solar but it’s clearly one of the cheapest energy sources and with the added benefit of low capital expense to get started so you can set it up in distributed grids without the massive expenditure to support nuclear installations.

glaslong

4 hours ago

At this point the Hard Problem is policy to get out of solar's way.

xnx

an hour ago

In some regions, but it would be great if it was economical in cloudy Seattle and not just the sunbelt

staplers

4 hours ago

  3. Develop Carbon Sequestration Methods
If only we could invent a solar-powered, self-replicating, carbon-stacking, habitat-building machine..

marcosdumay

2 hours ago

Not to say we shouldn't grow plants... But we can do it 2 or 3 orders of magnitude more efficiently with machines.

koolala

3 hours ago

Room Temperature Ambient Pressure Super Conductors

vovavili

2 hours ago

Very honorable effort, but a lot of these seem to touch heavily regulated industries impeded by unwise or outdated policy no less than by the lack of clever engineering - medicine, education, urbanism, energy. I wonder if they've given some thought to the key blocking factor as well.

epicureanideal

3 hours ago

Would be great if they'd add:

Reverse human aging.

(Maybe a sub-topic under "Engineer Better Medicines".)

dag100

2 hours ago

Why not just add 'mind control' while you're at it.

Only death stops stagnation in the end. Without death, especially if death can be avoided by the rich and powerful but not the poor, life will get much, much worse for the average person (until only the rich and their automated capital remain I suppose, in which scenario they will simply turn on each other).

dbgrman

3 hours ago

Why is "12. Enhance Virtual Reality" in there? T_T

cheschire

2 hours ago

When one of them dies, they want to leave behind a puzzle so complex that entire groups of the population dedicate their lives to solving it within the virtual world. They look old enough to have a lot of favorite 1980’s and 90’s pop culture references, so those will probably be the clues.

Sivart13

3 hours ago

I guess if we failed to Prevent Nuclear Terror the bunker denizens of the future are gonna need somewhere to hang out.

embedding-shape

2 hours ago

I'm guessing this might be about "teleoperation" (like remote surgery via robots + VR) and being able to remote training as well. The binocular vision VR gives you compared to flat screens help a lot with depth perception for precision of incisions for example.

xnx

an hour ago

Higher-fidelity telepresence could be as significant as the recent COVID work-from-home wave.

cm2012

44 minutes ago

You dont see making heaven on earth worth doing?

zahlman

an hour ago

In what sense is solar energy not already economical?

dgellow

2 hours ago

Such a weird list. How is preventing nuclear terror an engineering problem?

vanviegen

an hour ago

Satellite/drone detection of nuclear material? Shooting missiles out of the sky?

jay_kyburz

an hour ago

We know where all the bombs are. They are connected to a button on Trumps desk.

lovlar

3 hours ago

> 9. Reverse Engineer the Brain

For what purpose? To replace humans? To make social media more addictive? To master brain manipulation?

embedding-shape

2 hours ago

> For what purpose?

To understand, same reason you reverse engineer anything. Doesn't have to have a further goal than that, understanding the brain better helps in so many ways. But like most technology, obviously can be used for bad too. Should we just skip researching some topics then?

lovlar

an hour ago

I'm all for alleviating psychiatric/mental health disorders, but yes, some topics are worth skipping research on. For example chemical/biological/nuclear weapons, human cloning, and unethical gene modification.

I just like to challenge myself, as an engineer, with the idea that not everything has to be engineered and optimized. What if we simply left some things unexplored and mysterious, and trusted nature and our own human capabilities?

A better way of alleviating psychiatric/mental health disorders might just be to focus on societal factors.

tantalor

3 hours ago

We have a good understanding of the function (and more importantly dysfunction of) kidneys, lungs, heart, etc. from high level to cellular level.

For brain, our understanding is fuzzy, more like "this part is important for that behavior" or "here is how neuron works" but we don't have a holistic understanding.

If we had that, we could more easily diagnose and treat neurological disorder.

captainclam

2 hours ago

I imagine a good model of the brain would contribute enormously to alleviating psychiatric/mental health disorders.

RajuChacha108

3 hours ago

To do human brain activities at scale.

willy_k

3 hours ago

So the second option then.

fcarraldo

3 hours ago

This is called a “corporation”

sajithdilshan

3 hours ago

I would say 5, 6, 10 can be even done today if we had right politicians that can make policies for the people

mrdependable

3 hours ago

Which engineering discipline touches most of these?

la64710

4 hours ago

Please add fixing neuro issues like autism add etc on the list. It creates a huge burden on families.

hiddencost

2 hours ago

Idk, they never struck me as being into eugenics.

What the fuck man? I really don't want some tech startup trying to "fix" my neurodivergence.

tcp_handshaker

4 hours ago

Acquisition back by Google in 3 years, with nothing to show for it. VCs will make a ton.

tgma

4 hours ago

and... the VC is Google.

Gotta compensate them somehow.

returnInfinity

4 hours ago

Google stock would drop big if this new company was being funded by competitors

ex1fm3ta

4 hours ago

Sometimes you got to find a way to buy the silence of your top employee, to prevent them from going to the competition. This "start-up" is shallow as hell

hiddencost

2 hours ago

These people are all already making 9 figure compensation packages, I think if they thought they could do the work they wanted at Google, they would.

tgma

an hour ago

9 figure is hardly enough when some kid sells their vscode fork to them for more, is it? Why not just boomerang and get $$$.

xnx

an hour ago

Given the resources that would be available to them at Google: compute resources, data, etc. It's clear they want absolute freedom. Good for them. At this revolutionary turning point in history, I want the smartest people working in whatever area they want.

dude250711

4 hours ago

For all we know, they could have been successfully working on "10. Prevent Nuclear Terror" for the last 80+ years.

bredren

3 hours ago

This seems to be an institutional, massively scaled version of https://github.com/karpathy/autoresearch.

In March Karpathy described this direction:

   The next step for autoresearch is that it has to be asynchronously massively collaborative for agents (think: SETI@home style).
Tweet is protected but in SERP caches: https://x.com/karpathy/status/2030705271627284816

Seems like Karpathy was largely focused on ML / SWE research rather than the other domains this group is after. Still, hard to imagine they were not influenced by autoresearch.

Andrej, if you're around, please share your thoughts on Discovery Loop.

eamag

37 minutes ago

That's a very silly comparison, there are many startups working on RSI, karpathy is just a basic version to try the concept (similar to his gpt work)

ozgung

2 hours ago

That is also what I understand from that page. Autoresearch is the closest thing we (mainstream audience) know of but I am sure there is already an active research literature around it.

drivebyhooting

4 hours ago

How do you automate experimentation?

Doubtlessly, AI can iterate at superhuman speeds in the domains of thought and design: Software, mathematical proofs, literature search.

But in the realm of experiment? Alas it is the lack of a body that constrains it.

Rather than transcendence what AI requires is immanence. In the human flesh may we find the godhead living among men. Let the laboratories, warehouses, and factories fill with the sound of its labor, as it builds a wall with a million hands that are not its own.

“Give me your tired, your poor, Your huddled masses yearning to breathe free, The wretched refuse of your teeming shore. Send these, the homeless, tempest-tost to me, I lift my lamp beside the golden door!”

moelf

4 hours ago

would love to see how AI can automate the construction of the next high energy particle collider

scrlk

4 hours ago

"You're absolutely right! I shouldn't have pushed the anti-mass spectrometer to 105% power, causing a resonance cascade. This was a major oversight on my part."

nonameiguess

3 hours ago

You're halfway there, but the only impediment isn't on the side of the researchers. Many of these topics they're trying to solve involve human subject research. Even with tireless embodied researchers who work around the clock and don't require breaks, you can't make the thing you're studying happen faster. The biggest reason we use poor proxy measures for things like longevity and mortality research is the simple impracticality of finding two groups of randomly selected people, ensuring you can control their entire lives for 60 years, the only difference between them is one variable, and see who lives longer. Putting aside the ethics, even if you could find willing subjects and actually control their entire lives to that extent, it would still take 60 years to gather the data you need. It doesn't make any difference whether robots or humans are running the program.

One of my favorite books from the past few decades is The Extravagant Universe, written by one of the astronomers who helped discover dark energy and develop the current most-accepted model of cosmology. I love this book because of the emphasis on physical process in astronomy. Part of the reason it took decades to study this problem is they need to collect data from supernovae. Those only happen so often in places we're looking. You can't automate alignment of the heavens. It happens when it happens.

mbonnet

4 hours ago

> transcendence

> immanence

somebody has been studying Christian theology!

cute_boi

3 hours ago

Beauty of human writing.

DaiPlusPlus

3 hours ago

More like someone taking LessWrong postings too seriously.

numbers_guy

3 hours ago

You can use simulators. However the problem is that if you're for example running material science experiments, those simulations will consume a lot of compute and take weeks, so spamming different approaches in the way an agent tends to work might not work quite as well.

danielmarkbruce

3 hours ago

Building "simulators" that use ML/AI instead of running the calculations every step is a thing.

ramon156

4 hours ago

"Our mission is straightforward" continued by the most complex sentence on that page. Wondering what the definition of straightforward is now

pphysch

4 hours ago

Right. What about the scientific hardware (instruments, sensors, robotics)? Partnerships with existing research institutions? Dealing with restricted data?

Modernizing science is a lot more complicated than just optimizing the inner experimental loop, but their hiring page implies it's a pure ML lab focused mainly on model development.

snitty

3 hours ago

Yeah. ML is all well and good, but how are they going to do the science their machines design? Atoms cost money.

pelagicAustral

4 hours ago

Really seems to embrace the "Making the world a better place by <<extremely convoluted, highly technical, jargon loaded mission statement>>"

pickleRick243

2 hours ago

Which part of it is highly technical or jargon loaded?

Grosvenor

an hour ago

I think it was a Neal Stephenson quote from cryptobimicon.

It certainly increases shareholder value.

arjie

4 hours ago

This is very cool. It might be a new scientific revolution to have computer-driven discovery. So often we find things that are "this could have been done 20 years ago" and with an indefatigable searcher perhaps we'll close all those things. Though it does remind me of that Ted Chiang (I think) story where humans and superhumans coexist and all the science of the former is meta-studies of the work of the latter.

PaulDavisThe1st

4 hours ago

> It might be a new scientific revolution to have computer-driven discovery.

And ... it might not.

arjie

4 hours ago

True, nothing might be anything. But I'm an optimist :)

jbmchuck

2 hours ago

Sure - and knowing what is not possible with current tech is a nice datapoint to have.

tmoertel

3 hours ago

Note that Jeff and crew have cleverly structured their company to avoid problematic uses of AI (e.g., weapons or tracking humans). I suspect that many top researchers will want to work there for this reason, and to work with other top researchers who have a history of delivering results.

2001zhaozhao

3 hours ago

> Note that Jeff and crew have cleverly structured their company to avoid problematic uses of AI

Do you have more sources/info on this?

tmoertel

an hour ago

They do not call attention to this aspect of their new company, but it is implicit in their business model:

https://xcancel.com/JeffDean/status/2085034604172603724

In short, they are in the business of using AI to automate the discovery of useful knowledge, not to sell general-purpose AI capabilities that could be directly used in troubling ways.

moralestapia

2 hours ago

x2

All the "bad guys" of today were the "good guys" at some point in time. You even cheered for them back then.

wavemode

2 hours ago

Like how OpenAI is (was?) structured as a nonprofit?

paganel

3 hours ago

There's this somewhere on that page:

> securing cyberspace,

which has clear military implications, at least in today's age.

jedberg

2 hours ago

So does more efficient cooking methods, but that is not the primary focus.

As opposed to say weapons systems or targeting systems, which are really only for military use.

The military needs a lot of things that other people need, and some things that only the military needs. If you don't work on the things only the military needs, I think you're in the clear.

tmoertel

3 hours ago

Do you believe that securing cyberspace is problematic solely because it has military implications? I mean, everything has military implications. That fact doesn't imply, however, that those things are bad for society.

paganel

an hour ago

> I mean, everything has military implications

In essence I agree with that, it's just that cyber-security has particularly been the focus of recent military discourse.

Just yesterday I was reading an article here in the Romanian mainstream media about how Constanta Port's (our biggest port at the Black Sea) IT infrastructure has been under constant cyber attacks (presumably by the Russians) so as to hinder the export of Ukrainian grains through it. And this is just one of the many such (relatively) recent examples.

bredren

3 hours ago

Securing cyberspace matters to everyone. Defending critical infrastructure or design of tactical cyber-offense is reasonably in scope for military work.

However, reducing (or rather limiting the increase of) PII leakage and impact of ransomware activities is much closer to day-to-day mainstreet of most people.

Anyone committed to advancing science should care about this regardless of its potential contributions to defense.

dgellow

2 hours ago

That founding team is insane. Very excited to see what happens here. I really like that they do not mention AGI or anything like that. Their mission statement reads pretty pragmatic compared to other AI companies (the bar is very low…)

jszymborski

2 hours ago

> Scientific discovery is bottlenecked.

Yah, by funding and how we award it, not by an imaginary lack of undergrad and grad students. Scientific funding requires a shotgun approach and many national science funds try to pick winners as opposed to funding broadly. When the folks who researched bacteria in volcanic vents or the molecular biology of the Gila monster they never could have imagined the industries and markets they'd create let alone the lives they'd impact (i.e., PCR and GLP-1 agonists). Lots of grants require you to explain how the work is "translational" or has some sort of economic application (even if not explicitly), but that'll just get us faster horses or whatever the Ford quote is.

taurath

an hour ago

I truly believe if we took a measely $50b out of the LLM world we could create trillion dollar economies from basic research within 10 years. I personally know folks who have intuitive understanding of things that can't get funding to be studied. If we could keep the money away from university upper management, it'd cost $10b max.

Oh and while we're at it, $20b a year would house every homeless person in the US - there's a hell of a lot of extremely high intelligence and low social cohesion folks who can't handle the extractive punitive system we have. Our ability to deliver opportunity to create lucky situations for ourselves is getting worse and worse

eamag

33 minutes ago

$50B is essentially 100% of the annual NIH budget, which funds the vast majority of JUST life sciences basic research. So you may want to update your beliefs

e: oh and while we're at it, California spent over $24 billion over a five-year period (2019–2024) specifically targeting homelessness

vanviegen

an hour ago

Yes! But if science is bottlenecked by funding, making it cheaper might help?

woeirua

an hour ago

Not really. Grad students are already essentially working for free.

tjwebbnorfolk

an hour ago

How many lavishly-paid deans and bureaucrats and administrators are employed for each grad student?

gtirloni

an hour ago

LLMs can't materialize funds or political will so let's stick to running GPUs hot and publishing papers. The citations will be amazing. /s

holmesworcester

3 hours ago

Someone who left DeepMind over Google's agreement to provide military AI to the US government tried to get Jeff Dean to quit too:

https://turntrout.com/why-i-left-google-deepmind

Maybe this is what happens when someone with Jeff Dean's standing tries to quit?

TBH, I'd rather have Jeff Dean working on the creepiest-possible tech for ICE than joining the race to automate AI research. Automating AI research is terrifying.

tokioyoyo

2 hours ago

If you check out some sub-tweets from people in the org, it wasn't really all butterflies internally for a while. Sorry, really don't want to name people and give examples.

asadm

3 hours ago

> Automating AI research is terrifying.

what why?

stephantul

4 hours ago

I’ve always felt that the idea that science is bottlenecked and therefore needs more automation only works for a very narrow definition of what science is, and entails a very specific view on what it should be.

hobofan

4 hours ago

> only works for a very narrow definition of what science is

And so does academia. It's just that instead of AI and robotics, PhD students are thrown onto problems that are in large parts slightly tweaked reconfigurations of similar experiments.

Especially in chemistry, biochemistry, material sciences there is a large space of discoveries that are barely "novel" in an intellectually stimulating way, but still highly valuable that can be explored orders of magnitudes faster than is currently the case.

stephantul

4 hours ago

That is true, I’ve seen people do biochemistry and geology work, and it did look very mind-numbing.

Then again, gassing rats and taking biopsies is not something you can do with AI.

roughly

3 hours ago

> Then again, gassing rats and taking biopsies is not something you can do with AI.

Also, like, let’s maybe _not_ make the “gassing and cutting living organisms open” AI? Let’s just leave that particular genie in its bottle?

smcg

3 hours ago

Unfortunately, that's most of science. I don't see these AI systems doing reproducible experiments in "meatspace" any time soon.

porridgeraisin

4 hours ago

Yep. A communications professor where I did my MS says a 200usd/mo claude sub (which ant gives for free) does as much work as 5 grad students. It's mostly like you said, trying out new ideas rapidly.

teamonkey

3 hours ago

The purpose of hiring grad students isn’t to advance science, it’s to train experts.

porridgeraisin

2 hours ago

Yes. They have grad students too. This is just like having more grad students that don't need to be trained so the work you can get done is not bottlenecked by the number of people you can train.

pickleRick243

2 hours ago

It's 90% to advance science via cheap labor and 10% to train a small group of future experts who will hire grad students to 90% advance science via cheap labor etc. ...

tcp_handshaker

4 hours ago

Lets keep your comment out of the VC pitch deck shall we?

GodelNumbering

4 hours ago

This is one of the interesting aspects the 'AI job loss' community doesn't account for. As the technology unlocks things, more startups are created. And even at a lower nominal engineer-to-work ratio, overall demand for talent still goes up. Ultimately, we are not a single group trying to achieve a common outcome, we are a collection of many groups trying to compete against each other.

throwaway0123_5

2 hours ago

What percentage of people work at a startup though? Not just new/small business, which could include restaurants, local services, etc., but tech/science startups that would meaningfully benefit from AI.

I'd bet you could 10x the number and still be in low single digit percentages of the US workforce. And it seems pretty likely that AI-enabled startups will also employ less people per-startup.

If AI causes a white-collar jobs apocalypse, I don't think startups are picking up the slack, although it'll plausibly cushion the blow somewhat for top-performing tech workers.

4lx87

3 hours ago

Discovery and optimization are very different processes. Optimization is the process of finding the shortest path to a goal. Discovery is the process of stumbling on new goals and redrawing the map of what's possible.

Ambitious goals and new discoveries happen via novelty-based search. Progress in scientific discovery is measured by how different/interesting the outcomes are, not by closeness to a predetermined goal.

Discovery is a creative search that preserves optionality, whereas optimization restricts optionality. In other words, you usually don't discover anything novel unless you're trying new things that don't appear connected to the goal in the first place. Would an ML optimization loop have discovered transformers?

Johnny_Bonk

5 hours ago

For sure made with Claude code for front end, but I’m excited to see where they go

claiir

4 hours ago

The site itself is really leaning into the “made with Fable” aesthetic

pelagicAustral

4 hours ago

Why are people so sour about this?? I can read the site easily, its clear, performs well on mobile, what else do you want? Why is so offensive to people that models trained on tailwind or whatever?

throwaway0123_5

2 hours ago

Some parts are pretty annoying to read... the paragraph beginning in "Our mission is straightforward:" has many lines with just 2-3 words, massive font, and tons of unused whitespace to the right. Changing the page/browser zoom doesn't seem to help much either.

DaiPlusPlus

2 hours ago

> Why are people so sour about this?

To many people, myself included, who have to wade through huge amounts of low-quality AI slop which is actually a negative value: no-one benefits when non-experts fire-off one-shot LLM/agent prompts to produce PRs, reports, documentation or "journalism" riddled with imagined truth and factual errors - and the more that people like me have to evaluate these inputs for our job and how wrong they are it pisses us off - but also it means we pick-up on the hallmarks, tells and cliches of these low-effort, no-respect submissions - and now the litany of tells includes this beige-themed, blurred-backdrop-navbar corporate website look: theirs site looks like the 4 or so other LLM-generated, negative-value slop-farm sites I've wasted time on recently - all over the past few weeks.

So I'm saying that, without having known anything about what "Discovery Loop" is - or is not - but landing on their site and and seeing that beige colour and blurred-backdrop navbar, I immediately moved to close the tab; what kept me here was seeing the HN thread had over 100 comments by now and read more about it; if not for that then I wouldn't have given it further thought.

Having "that" beige site look with same the overused looks is either an unintentional indication that the site's author used a low-effort AI prompt to generate the site and that the content within is likely to be low-quality, low-value - or it's an intentional lure to appeal to those who uncritically share in the AI psychosis and so, I assume, are a good target to seek investment from even if it means losing the audience of cynical Internet critics like myself because they know people like me won't be breathlessly repeating their vision-statement on LinkedIn and throwing money at them - kinda like how scam emails intentionally include mistakes for better audience selection. And both possibilities have unpleasant implications.

------

Anyway, regardless of the background of the team behind it, the way the project is described sounds exactly like the recursive-self-improvement and simulated-science thought-experiments from _that other website_ - it's the kind of thing I expect Angela Collier to brutally takedown in an amusing video.

slopinthebag

4 hours ago

Because it’s lame and aesthetics matter.

make3

4 hours ago

it's just a low effort snark comment, don't overthink it

swalsh

4 hours ago

If this was a design firm, it might matter. But this is mostly a hiring ad for engineers, and a landing page for VC. I'd judge them more if they actually put effort into it.

npilk

3 hours ago

If their goal is to automate scientific discovery, why would they not automate building their website?

(Though, I do wish people would use just a few extra prompts to break out of the 'vibe-coded' look.)

swalsh

4 hours ago

let me rephrase that:

"The site itself demonstrates the team is spending their money in the places that matter, and using quick solutions for the stuff they need but isn't mission critical"

lrae

2 hours ago

You could rephrase that again I guess:

"The team of AI pioneers lacks the basic prompt-writing capability to make their marketing landing page not look like AI slop."

I, personally, don't hate it. It's a decently clean site, but it does invoke those thoughts in me too.

IshKebab

4 hours ago

At least it isn't dark purple.

roughly

3 hours ago

Two to keep in mind with these kinds of things -

1. There’s some irreducible costs in terms of time and material in the physical world that are not amenable to the kind of optimization or parallelization or even just the raw speedup from Moore’s law or computational architecture improvements we’re used to with software. My experience is primarily in biology, where the examples here are things like “it takes 20 minutes for E. coli to replicate” - it has taken 20 minutes for E. coli to replicate for a billion years, and next year it will still take E. coli 20 minutes to replicate, no matter how good your software stack is. Similarly, it takes X amount of energy to grow enough E. coli to produce a meaningful result, and that energy costs money, whether it’s in the form of glycerine or heat or whatever you want, and that also won’t materially reduce in the same kinds of “orders of magnitude” sense we’re used to from software, which is what we’re usually expecting to make the economics of these things work out.

2. Complicating the above, physical systems are phenomenally multivariate - far, far more than you think, and biological systems especially are just unbelievably complex - which means the number of experiments and the length and duration of those experiments you need to run to get enough data to be reasonably confident you’re seeing genuine signal is Way higher than you think.

Combine those two things and what you get is a money furnace, even before you get to the AI model training part, which is Also a money furnace. There’s low hanging fruits in all this, there’s areas where automating the approach can be really valuable, but typically the moment you turn this machine on, you’re gonna start burning money at a rate that would embarrass a finance bro on a coke bender, and that’s effectively unavoidable because the real world is not amenable to software’s scaling laws.

swalsh

4 hours ago

By the middle of the 2030's the world we live in will be unrecognizable.

kingofthehill98

4 hours ago

I agree, for better or for worse.

If I had to bet my money, it would be on "for worse".

dude250711

4 hours ago

It will not be owned by top 1%?

swalsh

4 hours ago

That seems to be the one unchanged variable of time.

roughly

3 hours ago

That’s a policy decision, don’t let them convince you otherwise.

warkdarrior

2 hours ago

The change is that it'll be owned by the top 0.0000001% who control the LLMs that will be your new boss.

melodyogonna

5 hours ago

Oh wow, that's a blow to Google, what's with the talent scarcity in ML. Though if this goes anywhere Google will likely buy them back.

FailMore

4 hours ago

Google down $160Bn so far since the leaving announcements. Those are some valuable people!

IAmGraydon

4 hours ago

Google is literally at the same stock price it was on Monday. This is a normal daily fluctuation for them.

ggcr

an hour ago

> Oriol Vinyals, Sanjay Ghemawat, Jeff Dean, Quoc Le

as founding members is crazy !

flakiness

4 hours ago

> we have pioneered massive scale computing and led the creation of critical infrastructure, products, and foundational AI advances that the world relies on, including multiple generations of Google Search, Google Ads, Google News, Google Translate, Google File System, MapReduce, BigTable, Spanner, TensorFlow, Pathways, TPUs, AlphaChip, AlphaStar, AlphaCode, AlphaFold, Gemini, model distillation, mixture-of-experts model architectures, word2vec, sequence-to-sequence models, chain of thought reasoning, neural architecture search, and multiple generations of Large Language Models (LLMs) among others.

holy shit. I've known this, but...

maCDzP

an hour ago

I have used something similar. I set up a team of agents that researches, proposes, builds and audits. Then rinse and repeat. I have used it for different topics. It hasn’t made me a millionaire, but I haven’t lost money either - so that’s some sort of win, right? But I would not have been able to ideate, test at that speed and quality without an LLM.

skinfaxi

an hour ago

> It hasn’t made me a millionaire, but I haven’t lost money either - so that’s some sort of win, right?

I'm curious if that is before or after token costs?

xuehaohu

an hour ago

Big news aside, it feels exciting to see them leave and pursue startup. They could have stayed back, and retire

Noe2097

4 hours ago

This looks like a realization of "benevolent self conscious AIs agreeing to cooperate with mankind to do great stuff". Often in these tales, there is a hidden cost to it: the AI has its own agenda, or does crazy experiments with humans mind/brain. I'm wondering what shape will take that plot twist in reality :)

varjag

an hour ago

Discovery systems are making a comeback huh.

syntaxing

4 hours ago

This reminds me of Three body problem and how the scientist discovered the high strength wire was through quick physical experiments and use them as input to an AI model to determine if it works.

puttycat

2 hours ago

What's the business model of these startups?

Sathwickp

3 hours ago

Is it a very hard problem to solve that jeff and the other legendary engineers have decided to quit and start on this?

thisoneworks

3 hours ago

I mean what are they doing right now at Google? Optimizing data centres? Pretty lame compared to this. Even if they completely fail, i'm sure there'll be good lessons.

danielmarkbruce

4 hours ago

Automating ML/AI research seems completely tractable. Most of the other claims seem much less doable.

deerstalker

4 hours ago

National Labs in the US have been doing this for a while now. I feel like the private sector will take the lead soon.

pphysch

4 hours ago

Why? Science is wildly unprofitable on the scale of an individual private firm.

Taikhoom2010

4 hours ago

The problem is all these new labs don't have any competitive advanatge amongst each other, talent can only take one so far, though Jeff is a legend no doubt.

Models are commodities the applications eg. BaseTen, OpenRouter should capture the value.

https://taikhooms.substack.com/p/why-openrouter-can-be-the-n...

compiler-guy

4 hours ago

The company is developing an application, or a class of applications. Not a new model.

make3

4 hours ago

I think Google's branding was starting to be too poor in AI to get top talent, they needed the refresh

malux85

4 hours ago

Model routers - send all of your data through a third party who totally swears not to peek at it.

If youre doing anything high value (advanced research, classified work, high value industrial research, health data) then sending your data through a third party like that is insane.

Taikhoom2010

4 hours ago

yes perhaps, although I think the best option for a enterprise is to train a model on it's own data.

willy_k

an hour ago

Best option by what metric? For which enterprises. I say this having worked at an “enterprise” where this was not a good option. For (lack of) talent/expertise, budget, infrastructure, and actual value relative to the eventual bottom line.

Taikhoom2010

24 minutes ago

Well its not the only enterprise tool, but from the perspective of llm delivering enterprise spexifc insights

kulsumshannan

3 hours ago

This seems interesting! I wonder how this will play out.

Wonnk13

2 hours ago

not that it really matters, but is he leaving Google?

claiir

4 hours ago

The job req has "Recursive Self-Improvement" as one of the "area of expertise" checkboxes lol

paxys

3 hours ago

It is targeted at a dozen or so people at OpenAI and Anthropic, not you or me.

recursive

3 hours ago

Then why is it published on a public website?

1970-01-01

5 hours ago

I'm skeptical of any Engineering loop that doesn't include reality (as in touch grass) feedback. Pure logic and reasoning is the domain of Maths and Science (philosophy). Surely it will work, but it will not "be able to solve any learning loop".

LarsDu88

4 hours ago

I'm almost certain the goal of this startup is to make physical automated research labs guided by RL

numbers_guy

4 hours ago

When they say experiments, do they mean using physics simulators?

danielmarkbruce

4 hours ago

in AI/ML, no. They are just going to automate AI/ML research to start with. Totally doable.

For some of the other things, undoubtably yes.

searine

4 hours ago

Computation is not the hard part of discovery.

7e

37 minutes ago

Jesus, he left Google to do what everyone else is already trying to do? He must be so insulated he doesn’t realize what the real world is actually up to. I mean, organizations started on this exact same mission three or four years ago. Or longer. I suppose it’s better to wake up later than never.

bezko

4 hours ago

So Ralph Wiggum in a suit?

sidcool

4 hours ago

I am available for hire.

m3kw9

3 hours ago

The AI designed italics on thin font is hard to not see as slop.

aaronharnly

3 hours ago

You know when the page has all-caps "01 — THE APPROACH" that it is slopified. I guess I shouldn't be astounded, but I am, that world-class talents with world-class backing are just taking default LLM output and saying, "okay looks fine".

m3kw9

2 hours ago

They would argue they are focused on more important stuff, but marketing shouldn't be underestimated.

mosfets

4 hours ago

Is this a joke? Site is not loading for me.

galoisscobi

3 hours ago

> Imagine a future where a handful of people can conduct scientific research and engineering tasks much more rapidly, and with higher quality, than massive teams of scientists and engineers do today.

Imagine a future where only the anointed few elite minds can participate in science and engineering. Btw we’re hiring.

Great message!