wolfium3's comments

Yeah, it's a bit obscure and "meta"...

Y Combinator is named after a computer science concept - the "combinator," and more specifically, the "Y combinator" function. Paul Graham and Robert Morris (co-founders of the Y combinator company), both computer scientists themselves, likely chose the name as a nod to their background and the company's focus on technology startups. The Y combinator function is a higher-order function used in functional programming languages that allows for the creation of anonymous functions, which can be useful for creating new functions from existing ones. This aligns with the company's mission of helping startups to iterate quickly and efficiently.

Also see: https://www.ycombinator.com/faq under `Why did you choose the name “Y Combinator?`

Catchy name. He should also make another social media company called Truth Social. Oh wait..

You can use their online tool to see how it tokenizes words: https://platform.openai.com/tokenizer

Depends on person to person. For me it's on the order of ~20-30 minutes.

Terrible idea. Any form of biometrics are effectively passwords that can not be changed/rotated. If the data is compromised/leaked even once, it's useless.

Edit: That said, one of the other commented this: "Eyeballs are usernames not passwords". I think that's ok-ish...

I switched in the other direction (Mac to Linux).

I grew up with Windows PC's + laptops and Mac's keyboard and general way of doing things was just always really unintuitive (maybe infuriating?) for me.

I also didn't like Mac's prescriptive attitude toward me as a user. It's MY machine. I bought it, it belongs to ME. I should be able to do whatever I want to the deepest parts of the configs if I feel inclined to do so. (Like "right to repair" I would like something similar to "right to full control of my own hardware")

I think I once got it to get out of "buy" mode by lying to it and telling it I'm in a sanctioned country. Maybe it's a trick that could work for you :)

Isn't that a good thing though? I.e. promote the production of more training material for the immune system for longer?

(Please correct me in the thread if my understanding is incorrect)

In my view, underestimating the platform's capabilities may lead one to assume its imminent shutdown. For instance, I find the platform particularly useful for generating succinct bullet-point summaries of articles, enabling me to consume content in 1 minute instead of, say, 15 minutes.

Because of "Agile" planning practices. Get things barely working (MVP) then move onto the next project to make sure your manager's manager stays happy.

It strongly depends on your personality type. I'm much, much, much more productive WFH due to my ADHD.

Also, noise cancelling earphones did NOT help while I was still in the office.

Wow... after some searching I eventually found out what PG is... Paul Graham (PG) wrote an essay titled "The Submarine". http://www.paulgraham.com/submarine.html

I sincerely hope they don't repair it and instead focus more on building up infrastructure around renewable energy sources.

I think it depends on your tolerance for ads. I hate ads so much I end up closing browser tabs or switching off whatever appliance they're on. My hate for ads is much greater than the love for the content they are attached to.

- My dad taught me the "dir" and "cd" commands very early and encouraged me to try out all the "exe" files I could find on the computer.

- I eventually discovered QBASIC.EXE and it had really good copy-paste examples which got me into programming.

If you expand a NN to decision trees, the resulting decision tree(s) can take up orders of magnitude more space and take orders of magnitude more time to run than the original NN.

The paper is discussed here: https://www.youtube.com/watch?v=_okxGdHM5b8

Dataform comes to mind (if you set it up to use git like that)

Scary! How does the treatment for such a condition/situation even work?

I'm not 100% familiar with the details - there's a ML component that calculates some stuff to narrow the ES search down (like categories), then at the end there's another ML system that re-ranks things. (ES alone doesn't give the best results)

I work in a company where ML has made a considerable difference to our bottom line (search component of an e-commerce site). When I joined the company, search was so bad, it was easier to just use google and include 'inurl:' to actually find products on the site. Now, years later, the builtin search actually gives you what you're looking for better than google does. (This is important because if you can't find something quickly you're more likely to shop elsewhere).

If you've seen "ML done right", you wouldn't use the word "crumbling".

That said - I won't deny ML is over-hyped. It works for very specific problems and in many cases the best solution is a non-ML one. Knowing when NOT to use ML is just as important as knowing when to use it.