ltononro

wouldnt it be nice?

Interesting topic for how agents will help us in the next few years

so basically you should use Qdrant anyway lmao :p

Pretty cool read, thought about sharing it with y'all

s happens, first impressions are what they are

well, does it all boil down to capitalism?

I think there might be a take on learning with AI vs the pressure to develop fast. AI could be an amazing tool to learn. But who wants to learn when you had to deliver 3 days ago? The corp culture is kind of what is killing it. Not sure how things are going in universities tho. If you stop and use it to learn, take time, ask questions. I am sure you can learn a shit ton out of it, most people were learning in the beginning when you had to copy/paste/debug in chatgpt. If I had to answer to this, I'd say that learning has become optional, helpful, but optional. Not in the sense that it is not good to learn it (or anything), but in the sense that you need to opt to learn it, and to do so you will have to sacrifice speed. Do what I say makes sense?

not really lol, just a practical joke. but it opens my mind for some interesting applications within claude code!

boom

Do you really think that tho? I mean, it is the only one doing something other than all-in LLM BenchMaxxing lmao :D

Looks like someone could make some dollars re-creating openrouter from scratch and proving reliability across evals/models/providers/configs

>what the world-class 2 mathematicians did was sat down and started working on their proof for over a year

If they were not related to anthropic I'd probably agree with you. OpenAI is much more for science than they are imo. Anthropic culture is all about "machine go brrrr" more than all of the other labs. If they had access to better models they'd probably would've one-shotted the solution. When the creator of bun was just "vibe-sciencing" it was ok. There is little to no evidence that they've been working using AI in this problem for over a year. Maybe they've been working on the problem for decades. So many other scientist have. Are they better because they threw a prompt and let it go brr??

When we put this in the perspective of how agents are changing the landscape of math/science, true it is shitty and weird. When folks are saying these scientists by anthropic that vibe-science'd the solution are victims, just because they did it with a smaller model, it is not defensible imo. And credit loses meaning here. The credit is shared with all the scientists that contributed somehow with the data in the AI pre-pos/training and not the prompter.

lmao

I see the six seven reference there mate

Is it really? If I ask my swarm of agents to read about every relevant stuff about NS problem online might me more than what any researcher can prompt the machine these days.

If the machine is highly non-deterministic, it is a matter of luck to get to the result, therefore using agentic swarms to optimize chance.

Sad reality

Agree! Not sure I believe that Buckmaster/Alpöge were guiding the AI. This is just their way of saying that they had something in the process and deserve merit.

I do. But the difference is: do I go around bragging that my agent worked for 88h to solve a problem? Where is the credit coming from? Is it coming from the: I was the first one to think about throwing a prompt: "Solve Riemann Hypothesis" and it turns out that by luck of the non-deterministic behavior of the agent, it got right? Wow, that is a lot of merit really. Congrats...

Sorry the sarcasm, but really your point makes absolutely no sense. It is completely different to design something with AI and then execute, validate, evolve vs just prompt it machine-g-brrrr style and get a result. This brings an important question. Nowadays I don't write code, I review code, I review systems behavior and get paid for it. Will that be the same for math researchers? Their prompt/problem is already well-posed out there. Ours, in the day-to-day, are not. Will the first one to verify AI work get the credit? or is it going to be the dumdum that types a simple prompt and has the compute to run it for 21321 hours? I absolutely don't get your point here. Or you are just rage baiting

Will the next generation of mathematicians be the ones to ask questions instead of solving them? I think that is what the math/physics research is moving towards

Feels like it is going to flop.

Does it matter who gets the credit at this point? Both used AI to do 99%+ of the work. So... do machines have ego?

Turned out to be fake, too bad :/

gemini 2.5 pro was SOTA back then, it just took a while to get back, that is it. the way google build products is sooo much better than unreliable new tech companies that are just vibecoding everything w/ 300 agentic bugs every time (e.g. claude desktop)

Treat Google like a mountain. You can climb the mountain, but you can't move it

I mean, I don't think unionizing will make such a difference. Maybe, going in the sense I mentioned above, the work will be more sprayed around in startups. Since big companies just want to do what they've been doing but with less people, instead of doing more per person. This surplus will work with startups and new businesses to disrupt the big ones

This is quite weird to say imo. I worked for mid-big companies (1-3k+ engineers) where we would never have enough people to execute the projects we wanted and kept postponing stuff to the next cycle. And this was 2024 to mid 2025 I believed that the moment when "coding was solved" we would see a massive improvement of productivity and these already postponed projects that we always wanted to start would be indeed carried out. However, looks like companies don't strive to do More with AI, if that was the case we would not need lay offs. Big companies want to do the bare minimum to keep them alive. They want to do the same, while doing more per person, i.e. reducing employee costs.

Well they sounded reasonably ok to me, didnt see them all but have seem real worse AI slop in youtube these days

Nicely done! There is some shadiness in staying invisible tho

Gosh good tiems with 2.5 pro. it was way better than anthropic. I really hope they catch up, they have a better product sense and are more reliable to their users