Since you’re getting downvoted, maybe you want to explain why using Github free is “pointing a loaded gun at your foot”?

I’m using github for a bunch of my public repos as a free backup service… Why would I want to use a self hosted or way more obscure git forge? Seems riskier than just dumping it on github

Documentation? Maintainable? Test cases? You’re too attached to old paradigms in a new vibe based world.

Why do you need any of those? If you need any new features, you just re-engineer your prompt and ask the AI to rebuild it from scratch…

Can someone explain how you accidentally rack up such a bill?

For example: You can deploy your Python script as a Lambda. Imagine somewhere in the Python script you’d call your own lambda - twice. You basically turned your lambda into a Fork Bomb that will spawn infinite lambdas

A lot of the times this comes down to a user error.

For example, very similar to your case, I knew someone that enabled Cloudtrail, and configured some things to have Cloudtrail logs dumped on S3. Guess what? Dumping things on S3 also creates a Cloudtrail that gets logged to S3 that Cloudtrail logs. Etc

Doing things like that and creating a loop can get you massive bills

From a sales perspective it makes sense… What percentage of the female tinder users would have Tinder Premium compared to men? I’d think the numbers are very lopsided.

And women don’t need the other Premium features of “Getting more swipes per day” or something, because they’ll get plenty of matches every day anyways. If they want to sell more Premium to women, adding features that might interest women behind a paywall is a smart move

His mom claims this led to […] disability, disfigurement

( ͡° ͜ʖ ͡°)

They were streets ahead in their logo design…

We also got fully self driving cars in 2 years though, in 2016…

If you’re using Entity Framework for the mssql, I doubt that this library would work as a substitute.

Because that linq gets parsed into expression trees and then send to the underlying provider (mssql/mysql etc) to be converted into sql. So if you you some non-standard library those providers won’t be able to convert that linq to sql

Typescript itself is not really getting any faster, just transpiling Typescript to Javascript

“It’s against the law to export to china, but they’re doing it anyways.”

“What if we prevent it by making it even more against the law?”

Right…

This feels like a personal attack

Programming.dev is hosting Iceshrimp: https://bytes.programming.dev/

You could host your own instance, or if your opinion-pieces are programming related, post them there

It probably depends on the level of the criminals and organized crime groups. I saw this Youtube video a couple weeks ago that talks about the history of how organized crime groups were using encrypted communication https://www.youtube.com/watch?v=gigIOc_0PKo (And how they were honey-potted by the FBI to use an FBI-hosted service, lol)

Organized crime groups that make 100s of millions should be capable enough to hire skilled developers and sysops to host self-managed services. At some point if they make enough money, investing in self-managed communication becomes preferable over using telegram or signal.

No one’s questioning why he’s sorting it twice?

It’s called embeddings in other models as well:
https://huggingface.co/blog/getting-started-with-embeddings
https://ollama.com/blog/embedding-models

Also some feedback, a bit more technical, since I was trying to see how it works, more of a suggestion I suppose

It looks like you’re looping through the documents and asking it for known tags, right? ({str(db.current_library.tags)}.)

I don’t know if I would do this through a chat completion and a chat response, there are special functions for keyword-like searching, like embeddings. It’s a lot faster, and also probably way cheaper, since you’re paying barely anything for embeddings compared to chat tokens

So the common way to do something like this in AI would be to use Vectors and embeddings: https://platform.openai.com/docs/guides/embeddings

So - you’d ask for an embedding (A vector) for all your tags first. Then you ask for embeddings of your document.

Then you can do a Nearest Neighbor Search for the tags, and see how closely they match

I’m a bit of a noob in hardware design, so maybe this is a stupid question, but why is a FPGA scary?

It would seem scarier to me if they actually fabbed an FPGA into an ASIC right? That could maybe indicate they have some kinda plan to mass-produce them, no?

Although I agree with the sentiment - the article mentions that it’s “only” regarding about 1 mil people. (Probably South Korean users)

So it’s still a $15 fine per violation. Could have been much higher, sure, but I don’t know if that’s a good return of investment for Facebook.

Maybe this case sets an example for other countries or regulatory bodies to start issuing fines to Facebook as well

I haven’t used json(b) in a Spring app, so I can’t say much about that.

Json vs Jsonb depends on the use-case. Inserting json is faster than inserting Jsonb. Reading json (based on searching for specific json properties) Jsonb is faster, because Jsonb is parsed into a more optimized tree.

From my experience, I don’t really like doing selects based on json properties. If I know I’ll be selecting a certain property, I usually add an additional column next to the json with the data, and insert that property there (At least in c#/dotnet, with EF) The frameworks don’t have that much support for selecting within json (you can do it, it’s just a lot more natively supported to use proper columns)