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That a UPR inhibitor would inhibit viability of AML cell lines is not exactly a novel scientific hypothesis. They took a previously published inhibitor known to
by shpongled 2y ago
That a UPR inhibitor would inhibit viability of AML cell lines is not exactly a novel scientific hypothesis. They took a previously published inhibitor known to be active in other cell lines and tried it in a new one. It's a cool, undergrad-level experiment. I would be impressed if a sophomore in high school proposed it, but not a sophomore in college.
- klipt 2y agoOnly two years since chatGPT was released and AI at the level of "impressive high school sophomore" is already blasé.
- thomastjeffery 2y agoSure, but is it more impressive than books?
- directevolve 2y agoMost people here know little to nothing of biomedical research. Explaining clearly why this isn’t a scientifically interesting result is helpful.
- rtkwe 2y agoSuggesting "maybe try this known inhibitor in other cell lines" isn't exactly novel information though. It'd be more impressive and useful if it hadn't had any published information about working as a cancer inhibitor before. People are blasé about it because it's not really beating the allegations that it's just a very fancy parrot when the highlight of it's achievements is to say try this known inhibitor with these other cell lines, decent odds that the future work sections of papers on the drug already suggested trying on other lines too...
- baq 2y agoA couple years ago even suggesting that a computer could propose anything at all was sci-fi. Today a computer read the whole internet, suggested a place to look at and experiments to perform and… ‘not impressive enough’. Oof.
- Workaccount2 2y agoPeople are facing existential dread that the knowledge they worked years for is possibly about to become worth a $20 monthly subscription. People will downplay it for years no matter what.
- forgetfreeman 2y agoYou just described a library card.
- Der_Einzige 2y agowhoosh
- ClumsyPilot 2y ago> Today a computer read the whole internet, suggested a place to look at Or imagine this one - computer maps the whole world, suggests a route how to get to any destination?! You just described a basic search engine. LLM is kind of a search engine for language
- OvidNaso 2y agoBut so are you and I. That's how you wrote this reply.
- ClumsyPilot 2y agoPreposterous- cavemen had no language but they could reason, think and learn. A child learns how to eat solid food and how to walk. That a square peg fits into a square hole. This has nothing to do with language. people who deaf and mute and cannot read can still reason and solve problems.
- baq 2y ago> cavemen had no language big if true
- Nevermark 2y agoEspecially when you consider the artificial impressive high school sophomore is capable of having impressive high school sophomore ideas across and between an incredibly broad spectrum of domains. And that their generation of impressive high school sophomore ideas is faster, more reliable, communicated better, and can continue 24/7 (given matching collaboration), relative to their bio high school sophomore counterparts. I don’t believe any natural high school sophomore as impressive on those terms, has ever existed. Not close. We humans (I include myself) are awful at judging things or people accurately (in even a loose sense) across more than one or two dimensions. This is especially true when the mix of ability across several dimensions is novel. (I also think people under estimate the degree that we, as users and “commanders” of AI, bottleneck their potential. I don’t suggest they are ready to operate without us. But that our relative lack of energy, persistence & focus all limit what we get from them in those dimensions, hiding significant value. We famously do this with each other, so not surprising. But worth keeping in mind when judging limits: whose limits are we really seeing.)
- howenterprisey 2y agoI don't need high school level ideas, though. If people do, that's good for them, but I haven't met any. And if the quality of the ideas is going to improve in future years, that's good too, but also not demonstrated here.
- Nevermark 2y agoI am going to argue that you do. Then I will be interested in your response, if you feel inclined. We all have our idiosyncratically distributed areas of high intuition, expertise and fluency. None of us need apprentice level help there, except to delegate something routine. Lower quality ideas there would just gum things up. And then we all have vast areas of increasingly lesser familiarity. I find, that the more we grow our strong areas, the more those areas benefit with as efficient contact as possible with as many more other areas as possible. In both trivial and deeper ways. The better developer I am, in terms of development skill, tool span, novel problem recognition and solution vision, the more often and valuable I find quick AI tutelage on other topics, trivial or non-trivial. If you know a bright high school student highly familiar with a domain that you are not, but have reason to think that area might be helpful, don’t you think instant access to talk things over with that high schooler would be valuable? Instant non-trivial answers, perspective and suggestions? With your context and motivations taken into account? Multiplied by a million bright high school students over a million domains. — We can project the capability vector of these models onto one dimension, like “school level idea quality”. But lower dimension projections are literally shadows of the whole. It if we use them in the direction of their total ability vector (and given they can iterate, it is actually a compounding eigenvector!) and their value goes way beyond “a human high schooler with ideas”. It does take time to get the most out of a differently calibrated tool.
- CaptainOfCoit 2y ago> I would be impressed if a sophomore in high school proposed it That sounds good enough for a start, considering you can massively parallelize the AI co-scientist workflow, compared to the timescale and physical scale it would take to do the same thing with human high school sophomores. And every now and then, you get something exciting and really beneficial coming from even inexperienced people, so if you can increase the frequency of that, that sounds good too.
- shpongled 2y agoWe don't need an army of high school sophomores, unless they are in the lab pipetting. The expensive part of drug discovery is not the ideation phase, it is the time and labor spent running experiments and synthesizing analogues.
- Teever 2y agoIt sounds like you're suggesting that we need machines that mass produce things like automated pipetting machines and the robots that glue those sorts of machines together.
- 11101010001100 2y agoThis exists, but does not require AI, so there is no hype.
- shpongled 2y agoThey already exist, and we use them. They are not cheap though!
- dekhn 2y ago(to be Shpongled is to be kippered, mashed, smashed, destroyed...completely geschtonkenflopped)
- hinkley 2y agoI have a less generous recollection of the wisdom of sophomores.
- elicksaur 2y agoI’m not familiar with the subject matter, but given your description, I wouldn’t really be impressed by anyone suggesting it. It just sounds like a very plausible “What if” alternative. On the level of suggesting suitable alternative ingredients in fruit salad. We should really stop insulting the intelligence of people to sell AI.
- tomrod 2y agoIncremental progress is incremental progress. [0] https://matt.might.net/articles/phd-school-in-pictures/ https://matt.might.net/articles/phd-school-in-pictures/
- kuhewa 2y agoI'm sure the scientists involved had a wish list of dozens of drug candidates to repurpose to test based on various hypotheses. Ideas are cheap, time is not. In this case they actually tested a drug probably because Google is paying for them to test whatever the AI came up with.