I always wonder why there are no download links. Alpha, beta, something at least.
Its pre alpha, you can build it from source.
Readit News_diyar commented on This Month in Ladybird – October 2025 ladybird.org/newsletter/2... · Posted by u/exploraz
_diyar commented on Backpropagation is a leaky abstraction (2016) karpathy.medium.com/yes-y... · Posted by u/swatson741
I have to be contrarian here. The students were right. You didn't need to learn to implement backprop in NumPy. Any leakiness in BackProp is addressed by researchers who introduce new optimizers. As a developer, you just pick the best one and find good hparams for it.
From the perspective of the university, the students are being trained to become researchers, not engineers.
_diyar commented on Video‐rate tunable colour electronic paper with human resolution nature.com/articles/s4158... · Posted by u/cjnicholls
The link sends you to the supplemental material.
_diyar commented on NASA chief suggests SpaceX may be booted from moon mission cnn.com/2025/10/20/scienc... · Posted by u/voxleone
Stainless steel was a questionable choice for starship. If the pros outweigh the cons, which is yet to be seen, it will be mostly due to the peculiarities of Starship's other design choices. In general it's a terrible choice for rockets. I'm not saying Boeing would do a better job, but any actual engineer doing a ground up redesign starting today would definitely go with carbon fiber.
> [if stainless works] it will be mostly due to the peculiarities of Starship's other design choices.
Yea but isn‘t that the point of the Starship? It has a bunch of unusual design choices regarding reusability and payload capacity, and then the rest of the owl is drawn around them.
I‘m not a rocket-scientist but I would hazard a guess they picked the best material given the options, right?
_diyar commented on Shoes, Algernon, Pangea, and sea peoples dynomight.net/shorts-5/... · Posted by u/crescit_eundo
> In general, that argument is that there shouldn’t be any simple technology that would make humans dramatically smarter, since if there was, then evolution would have already found it.
With technology we have massively extended lifespan, so does this argument really hold valid ?
The word simple does a lot of work here.
Only congress can enact tariffs, but we're all paying them anyway.
I think it's not quite tree due to the Reciprocal Tariff Act. Depends on how you define reciprocal of course.
_diyar commented on DeepMind and OpenAI win gold at ICPC codeforces.com/blog/entry... · Posted by u/notemap
I've contemplated this a bit, and I think I have a bit of an unconventional take:
First, this is really impressive.
Second, with that out of the way, these models are not playing the same game as the human contestants, in at least two major regards. First, and quite obviously, they have massive amounts of compute power, which is kind of like giving a human team a week instead of five hours. But the models that are competing have absolutely massive memorization capacity, whereas the teams are allowed to bring a 25-page PDF with them and they need to manually transcribe anything from that PDF that they actually want to use in a submission.
I think that, if you gave me the ability to search the pre-contest Internet and a week to prepare my submissions, I would be kind of embarrassed if I didn't get gold, and I'd find the contest to be rather less interesting than I would find the real thing.
I think your assessment is spot on.
But I also think there's a bigger picture that's getting lost in the sauce, not just in your comment but in the general discourse around AI progress:
- We're currently unlocking capabilities to solve many tasks which could previously only be solved by the top-1% of the experts in the field.
- Almost all of that progress is coming from large scale deep learning. Turns out transformers with autoregression + RL are mighty generalists (tho yet far from AGI).
Once it becomes cheap enough so the average joe can tinker with models of this scale, every engineering field can apply it to their niche interest. And ultimately nobody cares if you're playing by the same rules as humans outside of these competitions, they only care that you make them wealthy, healthy and comfy.
IINA is the kind of app that disappears into the background. I've used it for years and almost forgot it's not a part of the OS.
_diyar commented on If my kids excel, will they move away? jeffreybigham.com/blog/20... · Posted by u/azhenley
Kids may want to learn Chinese for the same reason they may want to learn Arabic or Spanish. It helps doing business in some parts of the world.
But China is not going to be the dominant superpower (except maybe if they manage to beat the rest of the world in AI). Their labor force is already in decline, which means they must gradually shift their focus from building the future to maintaining the society. Like Europe and Japan are already doing.
As opposed to the US, where the labor market will magically start growing net of immigration?
_diyar commented on The obstacles to scaling up humanoids spectrum.ieee.org/humanoi... · Posted by u/voxadam
Maybe cities like Cairo are problems, not the algorithms that can't drive there.
The problem with respect to what? The end-goal of self-driving cars (and humanoid robots) is to work in the environments created for humans. Otherwise we can just put down rails across all cities and call it a tram, or design purpose-built robots for all tasks.
Edit: Stated more explicitly: the human world is the way it is because of many reasons and can't always be changed naively (it's not like nobody in Cairo has thought about improving the traffic situation, or architects haven't thought about the ease of cleaning different flooring material). Robots which are general purpose with respect to their human-like capabilities must necessarily also accept a world in which humans live.