The Millennium Problems for Biology (millenniumproblems.bio)

121 points by artninja1988 10 hours ago

doctoboggan 8 hours ago

Someone should make the millennium problems for AI alignment so the frontier labs will actually try to solve that problem.

aleph_minus_one 2 hours ago

> Someone should make the millennium problems for AI alignment so the frontier labs will actually try to solve that problem.

Rather: Someone should make the millennium problems for human alignment so the top researchers will actually try to solve that problem. :-)

hodgehog11 6 hours ago

A group already (sort-of) has for the broader theory: https://arxiv.org/abs/2604.21691

It's a good list, but "alignment" is much more targetted. I attended a workshop with researchers from OpenAI and Anthropic also present, where the objective was to hash out what the problems in alignment even are. This, it turned out, was extraordinarily difficult.

The problems with alignment are to do with how we define and search for this vague notion when it is mathematically ill-posed at present.

vjvjvjvjghv an hour ago

The only thing the frontier labs are interested in is their trillion dollar IPOs.

daveguy 8 hours ago

You'd think that believing they are going to destroy humanity would motivate them.

an0malous 6 hours ago

If you ignore what people say and instead observe what they do, the world makes a lot more sense.

alansaber 7 hours ago

They're for-profit corporations above all.

mmooss 2 hours ago

pixl97 6 hours ago

pfisherman 7 hours ago

Biology already has numerous “Millennium Problems” and the rewards are much more than $1M. For example, reverse Alzheimer’s Disease. Or less ambitious develop high fidelity in vitro and animal models of human disease.

phreeza 7 hours ago

Those don't have the property of being easily verified, which the problems proposed here do. I think that's a smart idea because it's a way to capture quick PR seeking AI-lab dollars for quite useful outcomes.

pfisherman 6 hours ago

Being easily verifiable does not elevate something to the level of being a grand challenge. It really drives home the point that biology is not math or coding.

I guess to me the grandiosity here feels fake and unearned - like they vibe slopped it together without much input in the way of deep thought or expertise.

For example, synthesize arbitrary dna sequences > 3000 nt in length with error rate < 0.001 at > 95% purity. Easily verifiable, beyond the frontier, and generally useful.

phreeza 6 hours ago

pixl97 6 hours ago

jszymborski 2 hours ago

I think those are better described as problems of medicine whereas the problems here are indeed about fundamental biology

daoboy 9 hours ago

This is all well outside my area of expertise, but my impression is that Michael Levin's work with bioelectricity is on the cusp of #6 Somatic limb regeneration.

SMEs please correct the record if I'm mistaken.

jodacola 9 hours ago

Unfamiliar with Levin’s work, but:

There’s also this study [0] I read recently, along a different path of using known growth factors and proteins to kick off regeneration.

[0] https://www.nature.com/articles/s41467-026-72066-8

gavinray 2 hours ago

ECM (Extracellular Matrix) has been studied for similar properties:

https://www.biorxiv.org/content/10.64898/2026.08.05.742898v1...

"Extracellular matrix particle treatment induces digit regeneration in soft-tissue preserved amputation (SPA) model of adult mice"

pixl97 6 hours ago

Everyone interested in biology and intelligence should look up Michaels work, it is amazing because he's ignored a lot of assumptions that are held by the community and come up with new and interesting tests.

Also his work on algorithmic intelligence in cells and the mathematical foundation of intelligence will change many fields, including AI, if it can be empirically tested.

ferd 2 hours ago

Is inner-ear cell regeneration included in #06?

PaulKeeble 8 hours ago

Its much harder to produce a good fundamental list of biology problems because we are no where near as far along, so many basic things are not understood. There are still many unknown unknowns and these particular problems are limited to the realm of verifiable in a lab, which rules out much of what makes biology interesting and hard to study, and that is the organisms themselves and the interactions between their cells. The petri dish differs from the rat differs from the human and that is a part of what makes biology harder to progress.

None of these is likely the root to the wide array of chronic illnesses we can't treat and those seem like the next step to really put a lot of research into given how many people suffer from them and where we are today they seem achievable with the right investment.

shevy-java 8 hours ago

> The petri dish differs from the rat differs from the human and that is a part of what makes biology harder to progress.

They all use DNA.

But I agree that nobody has shown in the lab how any of this leads to a genetic system that can self-reproduce reliably and assemble biomolecules/metabolites. This is a missing link. Just showing how RNA or amino acids arise, says nothing about any genetic system. They can not even answer whether RNA or DNA viruses existed first; and whether these existed before organisms/cells did.

HarHarVeryFunny 8 hours ago

The goal of the suggested "origins of life" problem, as written, isn't to guess at history - it's to create some similar plausible self-emergent system in the lab.

Seems a bit of an ambitious goal for a language model though! There are presumably dozens of steps before you get to an RNA-based full-blown cell, and it's only been very recently that humans have managed to make an artificial self-replicating "cell" (container) of any type in the lab.

pixl97 6 hours ago

>They all use DNA.

I really really recommend looking up Michael Levins bio work on intelligence at the cellular and organ level.

His most recent work is starting to touch on some pretty far out concepts. And I should note, that he does not state they are true or not, but they are attempting to make empirical methods on testing them.

One of the concepts they are looking at is "math as an actual thing" and that some simple algorithms have new deeper behaviors that we're just finding now. The hypothesis is that over the eons life has probed mathematics at scales humanity cannot even begin to imagine and is exploiting this deep algorithmic efficiency in accomplishing any number of tasks. These algorithms could help explain the missing links.

I'd suggest starting with some of his older work to see they are a credentialed research scientist and not making up 'woo' whole cloth.

bglazer 3 hours ago

rdtsc 7 hours ago

> Demonstrate the emergence of life from chemical precursors in a laboratory setting

Wait, isn’t this an already solved problem? I remember in the 90s school books (material written in the 80s-70s likely) it was presented as “so and so did electric discharges in an atmospheric gas mixtures and they got organic molecules” therefore the origins of life is solved. I remember thinking how cool that was. I guess the “therefore” step was sort of a lie if it’s still an open problem…

ricksunny 5 hours ago

Science was presented in a just-so way in our youth. It still is ( #Scicomms ), but back then, whether reading Junior Scholastic or the margin captions of a high school science textbook handed down ex cathedra, there was no communication pathway to pose vexing questions in a publicly visible way as we do now.

We don't even know if Miller or Urey themselves would have (or did) frame their results that way. The honest framing is 'hey this is one way to form amino acids, and maybe that pathway is reflective of the origin of life, but that supposition remains conjecture on our part.'

Metacelsus 7 hours ago

You're thinking of the Miller-Urey experiment. They got some biomolecules (amino acids, etc) but definitely not life

rdtsc 5 hours ago

Yeah that's the one. Just looked it up it was it the early 1950s. I guess I was either too impressionable or the textbook and/or teacher cut a few corners because I remember it being presented as "we solved the origins of life already" situation.

NooneAtAll3 7 hours ago

biologists got even further - experiments managed to make RNA longer than a different team's self-replicating RNA

still not all the way to something alive-like

I recently watched this video on the topic https://www.youtube.com/watch?v=OsXGgrXwllc

bonsai_spool 8 hours ago

This is a collection of pet projects by folks who are not distinguished biologists. Interesting, maybe, but not to be placed on the same pedestal as the mathematics Millenium Prize of a similar name.

Arguably, the origin of life is a question for all time -- no way that a VC webpage is going to change whether someone takes that problem on, and it will be commercialized with big-name capitalists instead of 'FutureHouse' should it ever be developed in the lab.

hyperbovine 2 hours ago

This. Part of the allure of the Clay Millenium prizes is that some of the best minds in the field came up with them. Let’s hear what Eric Lander, Jennifer Doudna, Aviv Regev, Feng Zhang, David Baker, Robert Weinberg, George Church, Bert Vogelstein, etc have to say.

hirako2000 5 hours ago

Oddly most of these challenges seem to seek to solve problems that would enable phenomenal business opportunities, that many biologists would find questionable.

ak_111 8 hours ago

Not an expert, but as I understand from my colleagues you can make a case for lots of really important problems related to protein folding to be included in the list. As protein folding hasn't been nearly "solved" by alphafold as has been reported in many places.

usernametaken29 7 hours ago

Wait a minute:

> Cryopreservation + Demonstrate the ability to cryopreserve and recover live wild-type mice with high viability. Specifically, demonstrate the reversible cryopreservation of live, intact, wild-type adult mice in a whole-body frozen or vitrified state. The mice must remain frozen or vitrified for at least 24 hours, must be recovered with >99% viability, and must not suffer any permanent organ damage or bodily harm. Somatic genetic engineering is discouraged but permitted. All experiments must be conducted with ethics approval.

This has been done in the 50ies, freezing and thawing mice with microwaves. IIRC the recovery rate was about 74% with no observed side effects. The research was given up on because in this specific case a mouse is a bad biological model. Thawing agents must scale cubically with size. The author says that at approximately the size of a cat you can’t quickly enough evaporate all the agent because the energy required will simply burn the tissue.

TLDR: it’s possible, it’s been done, it could be perfected if necessary, it does NOT scale beyond mice

freebsd_lovefes 9 hours ago

It's missing some important stuff? Like creating bacteria that can produce fuels or break down plastics.

flexagoon 9 hours ago

Bacteria that break down plastic already exist, both naturally and synthetically. Optimizing those is one of the most popular student projects in my university. Hardly a millennium problem.

HarHarVeryFunny 7 hours ago

What seems ridiculous to me is putting together any such lists, even in math, and expecting/hoping the AI companies to solve them. The people working for the AI companies are not scientists or experts in anything outside of building LLMs. The best chance of making progress on genuinely tough (not just computationally challenging) tasks is to put advanced tools in the hands of actual scientists.

pickleRick243 4 hours ago

Actual scientists are not interested in using these tools to their full capability because of a fundamental psychological block where they have the need to feel superior to the LLM. The point is that AI labs have a thesis that AI will supersede humans in all cognitive work, and since few scientists have this view (or have the temperament to even contemplate this view), they have to do it themselves. In any case, they are attracting strong/talented biologists (Dario himself has a biology background) to work on this and provide their expertise, but presumably they filtered for scientists who are in fact "AI-pilled".

Look at what's happening in the math community- rather than excitedly embracing the power of AI's ability to generate new proofs, they are screaming for it to slow down (and quite a few want it simply stopped). Many scientists, even in ostensibly more real-world fields are broadly cut from the same cloth.

HarHarVeryFunny 2 hours ago

zhaoziyuan2000 6 hours ago

It seems that in a frantic pace to prove general usefulness of these LLMs the AI companies are also picking up the role of traditional scientific researchers without really have enough proper communication with the scientific community at large... I agree putting tools in the actual scientists will be very helpful but do they have the patience waiting or even parsing their feedback?

HarHarVeryFunny 5 hours ago

bonsai_spool 8 hours ago

It's inane, actually - I thought this might be something put on by an Allen Institute or some actually well-respected organization.

thehamkercat 9 hours ago

> 02 - Cryopreservation

Demonstrate the ability to cryopreserve and recover live wild-type mice with high viability.

> 06 - Somatic limb regeneration

Demonstrate the ability to regenerate lost limbs in adult wild-type mice.

Interesting, but looks like these problems are proposed in September 2026, unlike original 7 Millennium Prize Problems of Maths

Sharlin 8 hours ago

Of course. This is just a list of someone's ideas for equivalently difficult (and transformative) unsolved problems in biology. Many of these would of course have obvious and immediately impactful practical applications, unlike the math problems.

DoctorOetker 5 hours ago

> ... This is just a list of someone's ideas for equivalently difficult (and transformative) unsolved problems in biology. ...

I think GP was saying the proof of the pudding is in the tasting: the longer a problem has provably resisted resolution the more difficult it is considered...

bombastically decorating a problem as equivalently difficult does not make it so.

Sharlin 3 hours ago

gignico 9 hours ago

> 06 - Somatic limb regeneration

At least those things cannot be solved by just burning GPT tokens.

ginko 8 hours ago

> Demonstrate the ability to cryopreserve and recover live wild-type mice with high viability.

I thought we already managed to successfully cryopreserve and recover small rodents like hamsters in the 50s.

Edit: See https://en.wikipedia.org/wiki/Cryopreservation#History

dnautics 7 hours ago

These are almost all so stupid. Written by people who clearly don't know their chemistry

Reverse translatase and protein amplification in particular.

How the fuck do you plan on selectively priming protein amplification. If you know ANY protein chemistry, you will know "the juice is not worth the squeeze" -- how would I exponentially amplify a protein? I'd do mass spec proteomics, synthesize the DNA, and express it.

Simply amazing that electrofixation is not on the list.

c1ccccc1 an hour ago

I was going to comment to complain about those two as well!

Do you mean electrofixation of nitrogen? What level of biological involvement are you imagining? More like biology producing (some?) of the catalysts, or more like the entire reaction happening inside of cells?

dnautics 7 hours ago

Which ones are not stupid?

Cryopreservation, even though I don't care much for it.

The rubisco one is sort of not dumb, but if you actually care about carbon fixation you'd just not bother using rubisco at all instead.

Programmable Proteases is fine.

Somatic regeneration is fine.

hn3ufz62f7 8 hours ago

Agreeing on the model gap, the bit left out is that even human-to-human it breaks. Same drug, same dose, wildly different response depending on genotype and gut flora.

Haunt1000 4 hours ago

You'd think halting or reversing aging would be on this list...

the__alchemist 7 hours ago

It has not escaped my notice that a significant portion of these are of the form "Design a protein that..."

pixl97 6 hours ago

It turns out that proteins are responsible for a whole lot of different things in biology.

ehe78qhe 6 hours ago

sajithdilshan 8 hours ago

Do we really have to solve these problems though? Why would anyone want to have an inferior bio limb when they can substitute it with a superior and easily repairable/upgradable mechanical limb? Granted that the artificial limbs we have right now are pretty basic, but wouldn’t it make sense to improve it rather than trying to grow new limbs?

Also if you think humans would ever become a space faring species, would it really make sense to stick to our carbon based biology or should we invest in transforming into silicon based beings

RamblingCTO 7 hours ago

You should really step outside more and touch some grass

alansaber 7 hours ago

"Your limb replacement technology is very good, but I believe humanity should transform into silicon-based beings, and so for that reason i'm out"- dragons den 2030

xybuller 4 hours ago

There is a curious lack of small molecules or biocatalysis in this list

yewenjie 9 hours ago

Who is this by? Who verifies the result? Is there prize money?

fragmede 9 hours ago

On the page, it says

EDISON SCIENTIFIC · FUTUREHOUSE

SAM RODRIQUES · MICHAELA HINKS

https://edisonscientific.com/team

Q6T46nT668w6i3m 9 hours ago

It’s strange they are all engineering problems.

HarHarVeryFunny 7 hours ago

What would be your idea of a biology problem that isn't an "engineering" one?

It seems that understanding biology could be characterized as trying to figure out "how did nature engineer this".

For that matter isn't all of science this way?

zhaoziyuan2000 6 hours ago

There are certainly non engineering problems out there... For one example, in biomedicine it's known cancer in different organs can have preference of having immune hot (in skin and lung cancer, e.g.) and cold tumors (in pancreatic and prostate cancer, e.g.), and current immunotherapy work much less well on the latter. Why this pattern exists is still an open question very important for treating patients and it's not a how did nature engineer question as it's a unintended byproduct from several tiers of complex biology involving understanding mutational burden in tumor cells, immune surveillance surrounding the tumors, and mechanical structure of the tissue, etc. The engineering payoff comes later, i.e., immunotherapy works better on a particular subset of patients, after explaining and understanding the biological phenomenon first.

dnautics 7 hours ago

Chemiosmotic effect

HarHarVeryFunny 7 hours ago

analog31 9 hours ago

In a sense all experimental science has an element of engineering. For instance the first problem, "the origins of life" is framed to require an experiment to show that any proposed mechanism actually works.

ClaraForm 8 hours ago

Right? Where's the substrates of consciousness, or the actual solutions for protein/rna folding, or the requirements for evolution?

anon48293 8 hours ago

Substrates of consciousness? You mean the neural correlates of consciousness which we already have?

ClaraForm 8 hours ago

kolinko 9 hours ago

What else?

Protostome 7 hours ago

AI slop. next.

Edit: A true expert would never define a problem in such a sloppy way: "Specifically, the protein must convert N₂ to ammonia at rates that are at least of a similar order of magnitude to the rates of naturally occurring proteins, and must fall well below the sequence- and structure-similarity thresholds relative to all known nitrogenase and nitrogenase-like proteins. The protein may be designed de novo, discovered in nature, or engineered or evolved from naturally occurring starting points."

cupantae 8 hours ago

Slap an LLM on those and call it a day

alansaber 7 hours ago

Need to scrape the logs from some leading researchers first

himinlomax 9 hours ago

It's missing an obvious one: morphogenesis.

kevlened 8 hours ago

That’s number 6: limb regeneration.

himinlomax 6 hours ago

No, morphogenesis is a more general problem and we know very little about it.

kevlened 5 hours ago

alabhyajindal 8 hours ago

So anyone can create a list of problems and slap the name Millennium Problems on them?

LogicalBorg 8 hours ago

The Millennium Problems list in math was created in 2000, hence the name. There is a $1 million prize for solving any of the problems. Creating this list is just someone's idea of listing problems of equal importance. The name doesn't fit and it's just a list.

dnautics 7 hours ago

Seemingly anyone can take an unordered list of things and slap "periodic table" on it even if it doesn't have any periodicity.

Now you can enjoy one man-week of rage across the remainder of your life as you won't be able to unsee it. You're welcome

Mistletoe 8 hours ago

I’m going to be honest, I don’t know if improving Rubsico is possible. Nature has had every reason to and billions of years. It’s optimized as far as it can go and you either lose speed or specificity, I don’t think having both is possible.

dsign 8 hours ago

Your statement piked out my interest and I went searching for what Rubisco was. My prediction is that this particular one will be cracked out soon, and at around 2045, creating disgustingly efficient variants of RuBisCO along with other photosynthesis mechanisms will be AGIs’ hot hobby.

That there are no more efficient variations of it in nature just tells us that the local minimum is really deep and that natural evolution, as it is, can’t produce anything better, not even with a billion years and 10^30 organisms serving as a “brute force lab”. It’s also the kind of problem an AGI system would tackle for purely ideological reasons, i.e. to prove that it is superior to nature.

shevy-java 8 hours ago

> Demonstrate the emergence of life from chemical precursors in a laboratory setting.

> Specifically, demonstrate the unassisted emergence of self replicating RNA- and protein-based cells from a plausible primordial soup with a plausible energy source. A “cell” may be any compartment with a defined boundary.

So, right now, nobody can explain how life originated. Proving that aminoacids, DNA or RNA form, does NOT mean that this is equal to life. This is a problem that the whole field has - it still can not explain how life originated. Showing that individual components can arise spontaneously, is not the same as showing e. g. how a cell formed and so forth. Where does the encoding problem fit into any of that, for instance? You need to prove how you can assemble systems. Just having a working ribosome does not connect it to DNA as a genetic backup system; and RNA tends to be unstable. Even when you have assumptions how this works together, you need to prove that this is how things originate(d). Nobody has done so since decades. It is an unsolved problem.

monegator 7 hours ago

is it yet another vibecoded website? akin to the poster discussion, all vibecoded websites do not need to look like the same, please put some care or taste in your prompts.