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eugenekolo

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It really is an absolute massive jump. Have no clue what's going on in the back to warrant a 3x increase... 25-50%, sure.. but 3x is wild.

Generally I agree with the sentiment, for one major reason: debugability/dev loops.

Inevitably you're going to end up having to debug that each of those steps is correct, for that you'll find it a lot easier to break it out.. and the next person who has to do it will as well.

I do think the example is somewhat loaded though, rename "result" to "top5ActiveUserNames" would do a lot there.

I'm not sure Bitcoin won.. it just continues being a ponzi scheme that you can make money in.

You can also accept that certain things and be happy in life either way. Don't need to chase get rich schemes. Some are more privileged than others in being able to do this.

It's actually a fascinating find by Lookout, iVerify, and Google. This is a multi million dollar exploit chain sold to various buyers.

Complete full chain 1-click exploit from Safari to complete device take over exfiltrating personal data, passwords, and crypto wallets.

https://www.lookout.com/threat-intelligence/article/darkswor...

https://iverify.io/blog/darksword-ios-exploit-kit-explained

https://cloud.google.com/blog/topics/threat-intelligence/dar...

Donated. Thank you and everyone else on the PyPy team.

I use PyPy regularly on an app of mine, and very often when I need to do some compute heavy load. Typically over 5x faster than CPython. It makes some stuff that takes impossibly long with CPython (nobody wants to wait 5 minutes...), to returning a response in a few seconds.

I think paying for search is becoming more acceptable when you look at the amount of people paying $20/mo for their AI subs, which to many people are just search engines.

There will always be users who refuse (not going to convince my parents ever), but for many power users, or semi-power users, it's becoming more acceptable to just pay the $20/mo and get a better product.

Confused by his portrayal of Massena, NY. I don't live there and have never driven through, but looking on Google Maps it doesn't seem that bad or depressing as the author (and I guess commentators) make it out to be.

It has a Walmart, Home Depot, BJs (similar to Costco), a main street with several businesses. A walkable grid with sidewalks in that main town area....

Feels like reaching that this place is so desolate and depressing.

It's definitely an attempt to compare models, and Gemini clearly won in the tests. But, I don't think the tests are particularly good or showcasing. It's generally an easy problem to ask AI to give you greenfields JS code for common tasks, and Leetcode's been done 1000 times on Github and stackoverflow, so the solutions are all right there.

I'd like to see tests that are more complicated for AI things like refactoring an existing codebase, writing a program to auto play God of War for you, improving the response time of a keyboard driver and so on.

Sentiment might hold some merit, but this article is 80% copy pasting from an RCA report and 2 sentences saying nothing more than "This shouldn't happen" while offering no alternative or deep thought into improvement...

PyPy v7.3.16 2 years ago

I run it in a production environment (side project). I also use it locally when developing when necessary.

It really does speed up loops by 5x or so.

So when you're trying to say... test 100 million+ iterations of something, pypy will run that in something like 2 minutes versus cpython can take me 15 minutes.

Honestly it's an amazing performance gain for 0 effort, and I have yet to run into a limitation with it.

That's a bit of my point. At any time your business model can get interrupted when you're doing things "that the big company isn't, but holds the gate to".

Big company might get more aggressive and make your life harder developing. Big company might get less gatekeeper and open up the gates so now you have more competition. Big company might do it themselves and add interoperability and now your product is almost useless.

It's a business model that works to get to some point, and then exit as soon as possible, IMO.

Smart of Beeper to accept an acquisition/exit as soon as possible before their product gets further eroded by non-public APIs they're reliant on. Tough to build a business where at any time your product can get wiped out by Apple/Meta.