sundalia

Application-specific metrics are the way to go. For ML training this is one example: https://cloud.google.com/blog/products/ai-machine-learning/g...

AFAIK all efforts in that direction were way too costly a few years back and degraded models considerably. Spotify, for the longest time, only trained on an equivalent of manually curated playlists by experts and users to understand similarity.

Yup, we can close the thread and ack that GitHub does not care.

There's good points the author makes about problems in interviews + some economical facts but pieces like:

> Sorry, you’re not qualified to be a professional software developer because you wore the wrong color shirt to the interview. You should know the color buleruplange is triggering to generation delta

Just make me feel like I wouldn't like to work with this person.

(?)

Then don't make claims you can't justify :)

We're talking about a company's actions, why does vote matter?

Would appreciate data.

Many Googlers are not comfortable with that.

Lots of them are immigrants who understandably don't want to be associated with US-endorsed genocide.

>> It’s not participating.

I wonder why

Unique? You mean tweets? Yeah sure

It's 6B down the drain. Saying grok 1.5 is competitive is a joke, if it was any good it would be ranked well in chatbot arena (https://chat.lmsys.org/). Elon is a master in hyping underperforming things and this is no exception.

This is very interesting. A few questions:

- Why do you think similar approaches never landed on jax? My guess is this is not that useful for the current optimizations in fashion (transformers)

- How would you convince jax to incorporate this?

How is it serious if money is the motor of freedom of speech? The suing culture in the US ensures freedom of speech up until you bother someone with money.

+1, this is just the commenter saying what they want without an actual court case

Quite frankly, I see a lot of text in this post and no numbers.

For something to be production-ready I'd expect you to at least cover major things like "latency to serve x in Elixir instead of lang y is k% better" or "EMFU we got when training x in Elixir was comparable to lang y".

These are two random metrics that are of course biased to my experience but the article just feels empty without numbers.

Jeremy Howard comes to mind. The sheer good that fast.ai brought as free quality educational material feels enough for "good in general" :)

>Some friends told me they find this blog post mildly sociopathic

These are likely tech friends I suppose? I would say non-tech people would drop the mildly.

This is leaking the productivity frenzy mindset through the cracks, but appreciate the attempts through the text to push back against it.

Absolutely would not work in the US (as, unfortunately, most public services). There's already a huge lobby from TurboTax and other players. All countries that got to this level of automation already had publicly developed, free software for tax payers previously.

Not everything has to be clear and to the point. The sentence's murkiness adds emotion to the text. I'm not a native speaker (just like the writer isn't) and maybe that's why we're not so bothered.

But this comment is exactly what I expected from HN.

The intro query "youtube downloader" already showed me relevant results (some website where you paste an URL and bam download). I think there's a big tech bias in the whole post (how relevant is a mastodon poll, for real).

Not saying the current landscape doesn't suck with ads everywhere and incentives to not give exactly relevant results at times, but I think google is pretty good still.

fast.ai (the first iteration) was what got me into ML, when I was a sophomore undergrad. It played a big role in my career choice and progression!

To this day it still is my first recommendation for those learning. Congrats on the launch, excited about the future!

They picked Portuguese from Europe but omitted Brazilian Portuguese (largely more spoken, like 90-10 split). It's not ananas there, it's abacaxi.

Empathize with parts of the post, specially on the turning 30 part. However, this smells a lot of junior level and poor managers.

The git rant, the 3 pillars of being a good swe, the working code trumps good code ... All thoughts feel in the right track and motivated by experience, just maybe not enough experience to see things aren't <that> simple.