TheRoque

Search engines never claimed that their content was orignal, and redirect to the original author (which gets proper retribution)

I'm not talking about that, I'm taking about downloading gigabytes of books, and movies and who knows what data (since it's not disclosed) without paying. Those are not freely posted on the internet. Well, not legally anyways.

To be honest, these companies already stole terabytes of data and don't even disclose their dataset, so you have to assume they'll steal and train at anything you throw at them

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Mmmh well a few months ago there was a news that Facebook will prompt you to ask you if you are ok with your personal pictures being used for training, so it's not really surprising ? Besides, it's meta, what do people expect seriously ?

Personally, I didn't find a way to create one docker image for each of my project (in a pnpm monorepo) in an efficient way

Moreover, I find it ironic that website owners will gracefully give AI companies the power to identify what is "good" data and what is not. I mean, why would I do the work for them and identify my data as AI, so that they would ignore it ? "yes please, take all my work, this is quality content, train on it, it's free !" that's what it sounds like

A lot of Linux distros work fine with secure boot

Personally at that time (circa 2013 I think) I wasn't using it because it lacked integrated features like debugger or good autocomplete. I was using a specific editor, but one editor per language (java = eclipse, C++ = QTCreator, C = geany). I feel like there wasn't a true "one size fits all" editor (except maybe Vim, but it felt so... unfriendly?). Also, I'm not sure it was available on Linux (don't quote me on that)

Sending some telemetry metadata on private servers is vastly different from sending code chunks and in some cases private environnement variables. On top of that, there are already many exploits and failures related to these tools which one again don't compare to simple telemetry. And I'm not even talking about the ethics of reproduced code without proper attribution, which is a different subject.

Same. Actually made me switch to neovim more and more. It's a great time to do so, with the new native package manager (now working in nightly 0.12)

In my opinion, using AI tools for programming at the moment, unless in a sandboxed environment and on a toy project, is just ludicrous. The amount of shady things going on in this domain (AI trained on stolen content, no proper attribution, not proper way to audit what's going out to third party servers etc.) should be a huge red flag for any professional developer.

Multi cursors is in the way for 0.12 I think

What's preventing job seekers to come up with their own AI avatar job seeker and use it to attend these interviews?

I ask this question sincerely because I have no clue how such interview goes, and where is the added value compared to just an automated email

I was thinking like that before, however now I think it's overkill. Millisecond timestamps are hard to read, they are stored as "bigint" in Postgres, which makes it sometimes annoying. What I prefer now is to use the date object, but remember that it's only UTC (and the machine where the code runs should be in UTC time too). It goes well with Postgres Timestamp+TZ field, and it's much more readable.

100% agree, I have been looking for a YouTube video or stream of someone leveraging AI to get their productivity boost, but I haven't found anything that made me think "okay, that really speeds up things"

In my country France, your contact May state hours, so you're paid to sit in the chair

Freelancing as a side hustle may be forbidden if your employer refuses

And it makes sense to pay more taxes since you also have more social benefits (paid leaves, retirement money and unemployment money), nothing is free

It's just how they call them... Hence the quotes.

Come on... Is it still necessary to remind everyone how evil meta is ? The only reason they released "open source" models was to annoy the competition. They latest stunts: https://futurism.com/meta-sketchy-training-ai-private-photos

You can already achieve the same thing by making your image into an archive, pushing it to your server, and then running it from the archive on your server.

Saving as archive looks like this: `docker save -o may-app.tar my-app:latest`

And loading it looks like this: `docker load -i /path/to/my-app.tar`

Using a tool like ansible, you can achieve easily what "Unregistry" is doing automatically. According to the github repo, save/load has the drawback of tranfering the whole image over the network, which could be an issue that's true. And managing the images instead of archive files seems more convenient.

Thanks for the links. You mentioned 2 models in your posts, how should I proceed ? I can't possibly pay 2 subscriptions.. do you have a question for the better one to use ?

Ok, fair enough. I will try that kind of setup with a side project I have and give it a serious try. I'll time myself to see if I made fast progress.

Well, I'll try to do a sticky note here:

- they can't be aware of the latest changes in the frameworks I use, and so force me to use older features, sometimes less efficient

- they fail at doing clean DRY practices even though they are supposed to skim through the codebase much faster than me

- they bait me into inexisting apis, or hallucinate solutions or issues

- they cannot properly pick the context and the files to read in a mid-size app

- they suggest to download some random packages, sometimes low quality ones, or unmaintained ones

Do you mean that for a dead simple frontend feature I had to provide context beyond my entire codebase, proper cherry picked angular 19 docs, lengthy explanations about what I want ?

Yeah no thanks I'll just take that time and code the feature myself, while you're still pulling out your hairs on "crafting" the perfect pRoMpT

The C abstracting the assembly or the GC a abstracting away memory management work because they were possible to implement in a deterministic and reliable way (well, in the case of garbage collection, not all the time)

But I don't think that's a similar situation for LLMs, where the hallucinations or failure to debug their own issues are way too frequent to just "vibe code"

Same for me. My last try was with claude code on a fairly new and simple Angular 19 side project. Spew garbage code using the old angular stuff (without signals). Failed to reuse the code that was already here so needed refactor. The features I asked for were simple, so I clearly lost my time prompting + reading + refactoring the result. So I spent the credits and never used it again.

The thing is, the AI tools are so easy to use and can be picked up in a day or too by an experienced programmer without any productivity loss

I don't get why people push this LLM fomo. The tools are evolving so fast anyways

One of the biggest anti LLM arguments for me at the moments is about security. In case you don't know, if you open a file with copilot active or cursor, containing secrets, it might be sent to a server a thus get leaked. The companies say that if that file is in a cursorignore file, it won't be indexed, but it's still a critical security issue IMO. We all know what happened with the "smart home assistants" like Alexa.

Sure, there might be a way to change your workflow and never ever open a secret file with those editors, but my point is that a software that sends your data without your consent, and without giving you the tools to audit it, is a no go for many companies, including mine.

That's just the theory though, if you look at the videogame industry, the prices keep rising and lazy productions are more expensive than ever (e.g. oblivion remastered).

Same goes for my movie theater, when did it x2 its price in the past 5 years while having less employees ? Oh wait, there's only one theater in town and I don't have a car, that's probably why.

It costs hundreds a month for the customer, but way more for the companies. Try claude code, it's pay as you go, and it's like .5$ to 1$ per task, and it doesn't even complete it well, so if you make it work 24/7, I'm pretty sure it's gonna swallow your money for a result weaker than with a regular engineer. Moreover, you need someone to check what the AI is doing AND you need to prompt it properly (unless the CEO is willing to do that himself)

So right now, I have a really hard time seeing LLMs as a well-spent money if they were bought at their real cost