I keep wondering when this discussion comes up… If I take an apple and paint it like an orange, it’s clearly not an orange. But how much would I have to change the apple for people to accept that it’s an orange?

This discussion keeps coming up in all aspects of society, like (artificial) diamonds and other, more polarizing topics.

It’s weird and it’s a weird discussion to have, since everyone seems to choose their own thresholds arbitrarily.

I feel like at this point it’s an inevitability that given enough time, capable models will be cheap enough for everyone.

Having a tool that instantly searches through the first 50 pages of google and comes up with a reasonable solution is just speeding up what I would have done manually anyways.

Would I have learned more about (and around) the system I‘m building? Absolutely. I just prefer making my system work over anything else, so I don’t mind losing that.

This is a write-up of a system I designed at a previous job. It's a natural language interface for industrial robots. The demo runs MuJoCo in the browser via WASM.

The demo uses a free-tier LLM API with rate limiting, so it might be slow or unavailable under load, but feel free to check out the code and hook up your own inference service: https://github.com/Encrux/llm_trajectory

Comments URL: https://news.ycombinator.com/item?id=47674502

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Comments URL: https://news.ycombinator.com/item?id=47529876

Points: 4

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We should be able to verify facts about people on the internet without compromising personal data. Giving platforms the ability to select specific demographics will, in my view, make the web a better place. It doesn’t just let us age restrict certain platforms, but can also make them more authentic. I think it’s really important to be able to know some things to be true about users, simply to avoid foreign election interference via trolling, preventing scams and so much more.

With this, enforcement would also be increasingly easy: Platforms just have to prove that they’re using this method, e.g. via audit.

The fact that a language model can „reason“ (in the LLM-slang meaning of the term) about 3D space is an interesting property.

If you give a text description of a scene and ask a robot to perform a peg in hole task, modern models are able to solve them fairly easily based on movement primitives. I implemented this on a UR robot arm back in 2023

The next logical step is, instead of having the model output text (code representing movement primitives), outputting tokens in action space. This is what models like pi0 are doing.

This is irrelevant if the only changing variable is the country. From a ML-perspective adding any unrelated country name shouldn’t matter at all.

Of course there is a chance they observed an inherent artifact, but that should be easily verified if you try this same exact experiment on other models.

Project 2025 was announced in 2023.

for certain platforms. IMO platforms should be able to decide for themselves whether they want the option to have people verify themselves via ID or not.

It's the government's job to provide this service

Unless you still believe in the american dream, I'm pretty sure we can agree that the increase in housing prices makes it exceedingly difficult for young people to buy a house without a significant inheritance.

Before even talking about math, teachers just need to explain where the problem came from, who was thinking about it and why (if it's known specifically, like cardano's 3rd degree polynomials, even better).

If there's one thing that gets me (and by my own observation, the high school students I tutored) motivated, it's this by far.

Being in the office for the first time in my career showed me that there are definitely upsides, especially when you get along with your team really well.

Though 100% mandatory office time is BS.

Here, it's usual to just get a new phone every year or two. Usually iPhones of course. As a student, I find it insane to spend 1k+ a year on smartphones.

So in 2018, I decided to buy the Pocophone F1 (360€ at the time) from Xiaomi, recently replaced the battery (15€) just before dropping my phone and cracking my display a few weeks later. I ordered a new screen on AliExpress the same day and it cost me 30€.

I'm planning on using this phone throughout my graduation for at least 2 more years before it'll eventually end up as a raspberry PI alternative for side projects (if it lives that long)