How so? Or is this just vibes based analysis? I dont really know what you mean by classical engineering, but sure if something can be done on a computer it can infinite monkey theorem its way to a solution. This isnt exactly useful its just an enablement of laziness.
Idk how many people need to hear this, but not everything 'is computa',no matter what Trump says.
Much of the worlds problems are not verifiable with a compiler that can be trained or brute forced against.
Llms are not as useful as ya'll think they are, not everything exists in a web browser, which is why Anthropic et al have saturated their TAM and are now frantically hiring sales people to convince managers in other verticles.
Right, this is what astonishes me about the constant rhetoric/hyperbole about how this is going to impact "all the jobs" and make everyone wildly more productive than ever before. It's a fabulous tool in a limited number of areas, and it's otherwise only handy here and there. But just because it's a fabulous tool for the coding that is so prevalent among HN users does not mean that it's a fabulous tool for everything.
A hammer is fantastic for driving nails, but it's not really all that good at washing a dog.
This is conflating the benefits found within those areas with the ability of AI to actually deliver those things effectively across every single profession. Improving something by 2% vs. revolutionizing an entire industry are wholly different propositions. Maslow's hammer would like a word.
Mechanic, welder, builder, farmer, logger, millwright, trucker, heavy equipment operator... I could go on. Literally the entire economy in the area I live is completely impenetrable to tech, let alone AI. None of it is worth a shit to any business here.
These are all jobs the silly con valley idiots claim continuously to be automating away, but it's all just fuckin lies.
The extent of tech's penetration into this economy is internet ads on facebook and streaming services. Nothing to do with actual work.
Idk, sounds to me like you're in an isolated bubble and when change comes it'll hit HARD. Or you can become Amish and try to make things work for yourself. Every single one of those trades has companies doing much better because they've adopted technology, even a spreadsheet for paying taxes and tracking hours.
Sounds to me like you're bitter and not trusted with business operations for any of those companies.
No. In fact, the area I live is representative of the vast majority of the United States. Most of America is rural, by a huge margin.
> when change comes
No. You mean if change comes. If you're going to say the change you envision will come you must tell me how you're going to do it. Otherwise you're full of shit.
> Every single one of those trades has companies doing much better because they've adopted technology, even a spreadsheet for paying taxes and tracking hours.
Sure, that might be true. And it doesn't matter at all, because the ones here are doing just fine. To incentivize them to use your whiz bang techno doodad you need to do better than "some other guy somewhere else likes it". You need to show how it'll transform their lives for the better. Folks don't scare easily.
Yes, land area. We don't import anything from outer space. Everything we have, ultimately, comes from the land. If you want to build a house you get wood from home depot or menard's or whatever that was logged, milled in, and transported from a rural area. If you want to eat
food you go to the store and buy eggs, meat, milk, or vegetables that were grown in and transported from a rural area. Literally everything that makes life possible comes from these areas, and all of it runs on good old fashioned human labor.
You're not replacing any of that anytime soon with a LLM chatbot. Stop pretending.
I use classic engineering to refer to the (engineering) disciplines where mother nature messes your day up rather than obscene levels of man made (or machine made) pure complexity ruining your day.
It's easy to understand how LLMs got so good at coding, they can rapidly iterate, self test, and it all happens in their digital universe.
These models now starting to spit grey beard knowledge of precision analog electronics, lightweight fastener design, and chemical surfactant systems is something very very recent. A few years ago I think we were pretty confident that the tech would hit a wall at the digital divide. Well, I can tell you now that it did not. It seems it kinda blasted right past it.
This will be your refrain as the killbots come down the hallway: “it’s actually just a specialized harness, they’re just invoking the kill all humans tool, not even impressive!”
Its a stateless function that takes in x amount of words and calculates logits. It is in fact a next token predictor. Its literally nothing more than that.
Isn't most of our current understanding of how life on earth came to be (eg: primordial soup, hydrothermal vents, etc), natural evolution, all basically "just statistics"? They all require the correct "setup" (time, location, etc), but in a large enough universe, it's _statistically_ likely (mediocrity principle) and "just statistics" again, right?
Well yeah, that's tautologous because statistics is a mathematical abstraction. Everything, viewed a certain way, is "statistics". Just like everything, viewed a certain way, is "physics". And everything, viewed a certain way, is "narrative".
Mathematics models the world, it does not have substance. It is a useful way of looking and a useful way of manipulating, but many models are equally useful. Capital T Truth, beyond models is very difficult to get at. We can show that things are true for certain models well enough. Showing that something is true in all models (a universal truth) is far more difficult. You face incommensurability.
I see a lot of people in technology fall into this extremely basic logical fallacy called Reification constantly.
Do you believe in a soul? It’s fine if you do, but I don’t, and I don’t understand how people can reject the notion of soul and still say things like this.
I mean, when you really get down to it, either the particles and such operate on very specific rules, and the rules govern how all our brain and body work. Followed to the conclusion, the universe is computable and we can simulate life.
That sounds like a next token generator to me, which I think is more accurate. The word "predict" is doing a lot of heavy lifting in your formulation. What exactly is being predicted?
Just speaking english as a second language will cause your writing to trigger Pangram detectors, for whatever reason. Its a dumb platform meant to scam universities who think it works.
Last I checked machine learning wasnt the bottleneck for drug discovery and where it fits in the research process was largely solved 5+ years ago.. Weren't there already a ton of ML based drug discovery startups that went out of business, or got aquired, not because they werent useful but because they produced more candidates than the industry could use.
I dont think I want researchers offloading their thinking to some specialty model after seeing what its done to me and my colleagues in software, it certainly isn't making anyone more competent.
It really only enables people to be able to do less novel and lower quality work faster.
OpenAI and Anthropic creating these platforms seems mostly just to create narratives around AI that its going to lead to cures for disease, which it wont, but plenty of normies assume it will cure cancer now. Also a bunch tech oligarchs who are equally convinced or 'one-shot' they're going to live forever because of language models lol.
Promises of the Fountain of Youth continue to be a time tested tools for snake oil salesmen.
This is what I've built my current startup on. We find that ideas, structures and molecules are cheap and actually making them in cells is the issue. Obviously this doesn't apply to small molecules but as groups like Anthropic move closer to Phase I I'm guessing we'll see a lot of frustration with existing CDMO providers like Wuxi or Lonza just like we see with Apple and their woes with Micron etc.
Genosys Bio - we're a London based (SF soon!) startup. We teach our models the regulatory language of DNA and use it to make synthetic 'volume controls' that let us make more of an antibody and less of a toxin.
The cool thing is since we don't change the structure/activity of an antibody it doesn't require the usual 1B + 13 years of clinical trials. Instead we cut down on the amount of times it takes and also increase production yields.
Do add me me on linkedin (Taiga Clarke) if there might be some synergy there :)
For me its not a solved problem and AI/ML would still help to solve plenty Drugdiscovery in itself is such a broad area
There are still normal labs out there doing research for years on one drug alone
And biology of humans is huge and complex, not only is it not solved, its also expensive.
Even if you just not do ML drug discovery, AI can hellp with making the research faster: writing grants, finding issues, creating plans/ideas/suggestions, hepling with finding the newest research, writing code for supporting or analysis, controling microscopes and machines.
Researchers in bioinfomatics that are doing the ML work are already using llms where its helpful, they dont need a specialized model. I'll bet my entire net worth and future lifetime earnings that this model will not continue to get updates a year from now.
This idea that LLMs are going to be able to help with drug discovery better than existing ML approaches is a just a lie, I dont think there's a single biotech/bioinfomatics PhD who agrees with you.
They are language models!!! Nobody said researchers wont leverage llms to do the boring stuff, but that doesnt speed up the fundamental bottleneck which are clinical studies. We already have great drug candidates, backlogs of them and having llms is not going to enable you to suddenly be able to do more clinical trials!!!
These things happen in the real world, with real constraints There is no terminal, there is no compiler, there are no proofs, money is required (loads of it).
Regardless of what Trump says, everything is not computer.
Ah yes the 'language models!!!' which still solved a milenium problem.
Drugdiscovery has also a lot of physics involved btw
And you said ML yourself. You do understand, that the current LLM explositon also means that ML in itself gets more funding and now infrastructure for ML itself got easier to get, cheaper and faster right?
And yes for sure bigger and better LLMs can help: Alone for finding potential better or more optimized experiments, there is value in an LLM having all the current research in context.
I mean, Im probably never going to bookmark a netlify url. A domain cost $3.00.
If someone doesnt care enough to invest $3.00 in their project I'm not going to use it.
On more than one occasion a friend has sent me a netlify link asking for my opinion on a business or product and Ive replied that its a throwaway project.
Especially because you could just buy your name as a domain, then put all your projects as subdomains off it. I have like, a billion projects off my co-op's subdomain, which costs us, idk, a hundred bucks a year?
Im convinced this data center project isn't even real, and has been a long running PR stunt to drive outrageous headlines about datacenters so people don't take the real critics seriously, or smaller datacenters seem more reasonable.
Ahh yes, its the $30.00 an hour nurses that drive up the costs and not the incestuous and corrupt monopolies of hospital groups and insurance companies who've been caught a hundred times cartelizing the health care sector.
Insurance companies were the largest purchasers of private jets last year because they were so flush with cash.
Traveling nurses make more than lots of doctors though, so I dont think they're being taken advantage of. However, Im sure this company is trying to take a piece of that traveling nurse pie.
Idk how many people need to hear this, but not everything 'is computa',no matter what Trump says.
Much of the worlds problems are not verifiable with a compiler that can be trained or brute forced against.
Llms are not as useful as ya'll think they are, not everything exists in a web browser, which is why Anthropic et al have saturated their TAM and are now frantically hiring sales people to convince managers in other verticles.
Turns out most people dont need or want AI.
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