Recent submissions

Comment · 1 month ago
> Then why have they been lagging behind OpenAI and Anthropic for most of the last few years, and only briefly been at the frontier?

Because it's not an existential battle for Google. If OAI or Anthropic disappear from the absolute frontier for ~8 months the news cycle and churn will diminish them to the second rate. Google is processing near 4 quadrillion tokens every month, that's - I'm sure - significantly more than OAI or Anthropic, because Google is interested more so in their flash models and getting these competitive, which they are.

Comment · 8 months ago
https://github.com/googleworkspace -> in the about links is also verified as part of the Alphabet enterprise - https://github.com/enterprises/alphabet
Comment · 8 months ago
> I browse logged out. Interact when them I do not.

The logged out experience is closer to the interests of the average person. So if you're not pruning (and savings) your interests, that's hardly surprising.

Comment · 10 months ago
Because it's an acclaimed, often cited course by a preeminent AI Researcher (and founding member of OAI) rather than four undocumented python files.
Comment · 10 months ago
I think I must have just spent more time (5 mins) looking at this repo trying to understand why you posted it, than you spent actually coding this.

I don't want to put you off, but there's no substance at all here, I'd have assumed Claude wrote it based on the fact you've vendored in rules, but the code is so questionable, even an LLM from 2022 would do better. E.g. 'flattenData' from utils could just be [1] rather than a BFS, though I don't really get why your public API allows TensorData to be a single integer in the first place, 50% of your logic is to work around that.

But rant over. My point is, maybe post this when you've built even 5% of PyTorch, or learnt something of value, or have something tangible to impart upon us, rather than a library of ill-thought-out array utils.

1: flattenData = (x: TensorData) => Array.isArray(x) ? x.flat(Infinity) : [x]

Comment · 10 months ago
+1 to a Kobo, they cheaper and better than Kindles, with full Calibre support (https://github.com/kovidgoyal/calibre - OSS which has been in development for ~20 years!).

The way you install additional software is literally just moving files into folders whilst its plugged into your computer. I'm sure it could handle Tailscale.

Comment · 11 months ago
https://news.ysimulator.run/item/121 - I was interested to see what the common archetypes would have to say about this very post, therefore I submitted it.
Comment · 1 year ago
I've been PSAs before on the front page with a reminder to check your flagged stories. I and others visited the link and were surprised to see how many stories I had fat-finger flagged. In fact I had never intentionally flagged a story yet the list was at least 10-15 long
Comment · 1 year ago
And why would cheaper GPUs damper the diminishing effect?
Comment · 1 year ago
Comment · 1 year ago
This is a punny code, and I'm fine - if not happy - that HN doesn't choose to render their underlying unicode symbols. It's very easy to spoof URLs this way, e.g. using a symbol from another language to craft a look-alike URL that can match a reputable site.

Browsers like now Chrome try and alert you if the URL visually looks spoofed (because they do support unicode symbols in the omnibox), but I'm yet to see how well this holds up in production.

And I hope in even 20 years we still can't use emojis here, our language isn't so pitiful that we must regress to brightly coloured symbols.

Comment · 1 year ago
Any Googler can write code and open source it on the Google GitHub (within reason, the process is quite straightforward). So no, Google as an entity does not official endorse it, all it means is at least one employee is working on that particular effort.

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