After reading that I’m still really confused who these cars were stolen from. From the sounds of things, the current owners are losing their newly bought vehicles only for them to get put back on a dealer lot, which is just insane.

Surely by now the original owners have already claimed insurance on their stolen vehicles? The police repossessing them from legal purchasers who were unaware just seems like it’s making the whole situation worse.

One or two models have increased in accuracy. Meanwhile all the grifters have caught on and there’s 1000x more AI companies out there that are just reselling ChatGPT with some new paint.

It can start out a little like Office Space, doing all the standard tricks like walking in the front door with your arms full and in a hurry. And it always works. Until they hit the final boss: an IT security worker who has built an impenetrable fortress inside the company. Then it turns into Mission Impossible.

I think it was assumed based on your use of command line and unix-like paths such as ~/Desktop, which do not work in Windows Command Prompt. (Powershell has aliases for unix commands like ls, so unix paths do work there)

Interesting that strtol in C does that. I’ve always explicitly passed in base 10 or 16, but I didn’t know it would auto-detect if you passed 0. TIL.

Well, you’re right. I wasn’t getting it, but I’ve also never seen any piece of software that would treat a single leading zero as octal. That’s just a recipe for disaster, and it should use 0o116 to be unambiguous

(I am a software engineer, but was assuming you meant it was hardcoded to parse as octal, not some weird auto-detect)

Well shit, my zip code starts with a 9.

A quadratic function is just one possible polynomial. They’re also not really related to big-O complexity, where you mostly just care about what the highest exponent is: O(n^2) vs O(n^3).

For most short programs it’s fairly easy to determine the complexity. Just count how many nested loops you have. If there’s no loops, it’s probably O(1) unless you’re calling other functions that hide the complexity.

If there’s one loop that runs N times, it’s O(n), and if you have a nested loop, it’s likely O(n^2).

You throw out any constant-time portion, so your function’s actual runtime might be the polynomial: 5n^3 + 2n^2 + 6n + 20. But the big-O notation would simply be O(n^3) in that case.

I’m simplifying a little, but that’s the overview. I think a lot of people just memorize that certain algorithms have a certain complexity, like binary search being O(log n) for example.

It’s sad that the best most startups can hope for is to be bought by a giant corporation. Not a lot of people are interested in just having a successful long-term business.

Just useful enough to become incredibly dangerous to anyone who doesn’t know what they’re doing. Isn’t it great?

If you remember what battery powertools were like in early 2010s, it’s super obvious how far we’ve come. The higher end things like battery powered lawn mowers didn’t exist, and if you wanted real power, you needed a cord.

Sounds like you’re doing the job of a PM to me, but I guess that’s just confirming your point that titles aren’t comparable

Logic and reasoning were never on the table unfortunately.

This graph actually shows a little more about what’s happening with the randomness or “temperature” of the LLM.
It’s actually predicting the probability of every word (token) it knows of coming next, all at once.
The temperature then says how random it should be when picking from that list of probable next words. A temperature of 0 means it always picks the most likely next word, which in this case ends up being 42.
As the temperature increases, it gets more random (but you can see it still isn’t a perfect random distribution with a higher temperature value)

It’s what Microsoft would do in the same situation. It’s only fair

Exactly this. You don’t realize how useful they are until you’ve had a good one. The amount of BS from other teams they can shield you from can make focusing on your own job so much easier.

Unfortunately the ratio of good to bad PMs leaves a lot to be desired.

That does seem to be the case. As long as any modifications to the source are publicly available. Which is pretty reasonable.

It’s in the RSALv2:

You may not make the functionality of the Software or a Modified version available to third parties as a service

You may not X in a way that Y implies that You may X in a way that does not Y, and is more specific (and changes the meaning of the license) vs You may not X

The legal distinction in this case allows for distributing the software for example as source code, but not as a service.

The wording says “third-parties as a service”, so as long as Redis isn’t accessible by people outside your organization, it’s fine. But paid Redis hosting wouldn’t be allowed on the new license.