There are so many things that digital intelligence could do to advance research and some point will maybe let us run experiments on the cloud given close enough biology simulations etc. But even until then, it could be used to better and faster diagnose people, analyze literature and data from vast sources and chart a "highest chance of curing the person" treatment just like what Gitlabs founder is doing. AI doesn't have to find a cure to disease tomorrow to save more lives.
What sort of biology simulations on the cloud by AI do you have in mind? For example, are you referring to classical MD? Quantum? Coarser simluations of things like cells are suitable levels of details? Cheaper or better ab-initio algorithms? ADME predictions using LLMs? Something different?
Could be anything right? Scientific method in formulations of new drugs has a ton of steps and tests and repetition of stages and human labor, maybe we can create classical ml models that predict the likelihood of formulation paths now that we have more digital intelligence resources to throw at the problems or we go more generic and we simulate public health scenarios and response to information campaigns and test out different copies etc through population simulations of just using llms. Personalized 12 step assistants to cure addiction in persons.
Yeah... This is about to age really badly, not to say that the principles in the post are incorrect, but this person doesn't seem to realize that they are in a free market and that each model improves on the last on almost every aspect. We will see what they'll think about this choice when all their competitors do 100s of peoples worth of work just with a few people
I agree with you, but also it won’t matter at that point because the job market for coding will have contracted to the point where practically no one is hiring.
“You’re not breaking up with me. I’m breaking up with you.”
Good god, what a nothing burger, leave claude on auto mode ask it to make calls to sites that require email and pikachu face when claude sends your email to those sites. How is this the top post? Everyone acting like all web fetches auto attach a user email or something
This has always been the most valuable part of the job if you ask me. Its just that the other parts of the job were quite hard to get right letting people build a career out of that specialization.
Pretty sure following this advice would kill them really fast. Only 5% of code will ever need to be hand typed if that. They have analytics that show their IDEs were used by people who deeply card about efficiency and there US nothing more efficient than managing cloud agents.
In a few years we won't even be reviewing code. We will have abstracted code into building blocks and review those abstractions only.
> Only 5% of code will ever need to be hand typed if that.
You are talking about the 'vibing' demografic. Not all of them would use JetBrains, as not all programmers did before the advent of LLMs. But for the time they do have to be in the code, JetBrains could be their best option. They are in a unique position to cover their existing offerings in a gold finish.
> Pretty sure following this advice would kill them really fast.
I don't think so. There is no money to be made in llm wrappers. Their market might have shrunk, sure, but on the other hand they should be able to bring down their expenses significantly while at the same time bringing their backlog to zero. If not, they have nothing to fear from AI and the hype will be over some day.
What would Anthropic gain by wanting juniors to disappear into another trade? Obviously their goal is to turn a profit meaning they need to be more efficient and they seem to believe that will come from senior engineers. They have the supply for it, why hire juniors when seniors are dying to working in your shop
This reminds me a bit of the gaming industry. In most AAA game studios, junior openings are very rare or simply non existent. Companies expect you to learn the ropes elsewhere and only show up when you're experienced.
As long as there other companies scooping up the juniors (which we cannot assume will happen), this could be sustainable.
> Companies expect you to learn the ropes elsewhere and only show up when you're experienced.
This is every industry - barring unionized trades with established apprenticeship pathways - over the past few decades. Either someone does the early-career job-hop dance, or they take on student loans to (maybe!) skip some of that. (And, you know, universities would prefer not actually to train anyone, either. If they can - "highly selectively" - find cohorts who don't need much mentorship then that's much better for their bottom lines.) Regardless, the entire cost and risk of training has been pushed onto individual employees.
Yes, this works well for a small minority of highly-motivated people - who are, of course, vastly over-represented on this board, so few here will object to it - but it prevents far, far more people from ever reaching their potential.
Uh complete market capture for an entire industry that costs billions of dollars a year. They have been claiming software engineer was solved for years now.
If everyone does it, no one monitors it anymore, and quality degrades the only way out is more tokens.
I have found it really helpful to just give read only access to application databases for my agents and since they have the source code they get to learn and run regular http calls against the services. As long as the service itself is built local first with say a sync engine works like a charm
I think open source repos are overdue for better, more efficient flow controls as well as an open cycle system. I wrote about this a while ago[1], but I am hoping to see some applications using things like the decisions API etc to make the maintainers lives easier.
reply