What is my purpose?

You pad the text.

Oh, my god.

Now that's a rare GitHub Username!

Though, again, a yet another project for a yet another "AI" to make someone else more dependent on it...

Related:

    https://en.wikipedia.org/wiki/Jev_(AI_model)  
    https://typesafe.ai/

It did one thing that you could write in one line of code. But it wasted space as a packaged dependency instead.

Jev is a new type of model that just makes decisions based on given options. It's small and really really fast.

Leftpad is a npm package that chooses if it should or shouldn't pad the left side of a string. It was famous for bringing down everyone's npm installs a few years ago.

This combination is a double joke. Put something stupid in something stupid.

yeah but i have PTSD from the og leftpad stuff

Please don't use this in production. Or anything important.

5 to 10 years from now, after this has worked itself deep into the npm dependency chain, we'll be lamenting how Jev-Leftpad is causing outages in critical services.

On the npm doomsday thing, the scarier version is someone vendoring it and the padding silently drifting between runs.

Make sure to vendor this package if you want reliable operation.

    it('trusts Jev when it chooses the wrong amount', async () => {
    answer('space_2');
    await expect(leftPad('jev', 8)).resolves.toBe('  jev');
    });

Since the potential error increases with N, I suggest spawning N different models and let them fight it out instead.

Aren't we all. Aren't we all.

its confidence scores

important to note that the "confidence" score is... maybe not what people think it is - kind of useless, and just a convenience step from the probabilities.

from the docs: "confidence is a statistic computed from the probability distribution the answer already gives you." [0] I actually encourage people to visit the docs because it has a specific page on this with a little applet to really make this clear.

[0] https://docs.typesafe.ai/confidence

I think the argument would be that the classifiers of classic ML can be very useful and that Jav is a geenral purpose classifier you can just use that doesn't need to be trained per-task.

I mean when you get your bloodwork done to check for an illness, the test you get will give the right result 90% of the time - and depending on the result, you doc might order more tests, which could be more expensive but no mrpe reliable than the first - but they are going to be statistically independent, and after 2 more, he can be 99.9% sure.

Which begs the question, can Jev retest until it gets the right result? Can it tell how corellated two of its results are? 90% correct makes for a wonderful iterator, but a poor oracle.

It's surely on the Pareto Frontier of something

wait.. is it just me or are we going overboard? I am waiting for jev assistance to exit vim, no wait.. a decision if we should exit vim or not.

You need to get the Pro version, please contact sales.

Run it twice

Done: https://github.com/freakynit/jev-test-runner

This needs an SBOM and a SonarQube Qualitygate pass to be considered production grade code

    The tests mock Jev. 

10/10 no notes

i maintained a system where for .. reasons (like other systems) from early days have users with id: null "null" "" and some i do not even know how to write here

so probably early bird

It's funny, i actually worked with this guy (same small startup, not closely), and recognized him from that unique username on this post. It's been so long i wouldn't have had any idea if not for the oddness of the single letter username.

GitHub clearly didn’t use his left pad

Jev mania at its peak? HN is full of Jev like today.

I already have Jev fatigue.

Terrorist

Instead of using Choice with criteria "space_0", "space_1"..., it could be even more elegant to use criteria names like "", " "... which could be directly inserted into response.

oh, I missed that. Brilliant!

MIT Licensed

Would have been funnier if it used the GLWTPL: https://spdx.org/licenses/GLWTPL.html

github.com/f is more impressive to me than jev-leftpad lol

I’d be curious to see how reliable it is in practice, it sounds like a cheap and (hopefully) easy benchmark

JEV seems similar to BERT. Where would it be useful?

I use it mainly to check whether this code fits the rules I defined, just a yes or no. But I'm not sure if that's the right way to use it.

Is this package vibe coded with Jev or just old school with an LLM?

Jev-in-the-Loop. Makes sense.

I can. It is indeed satire.

Next: jev-is-even

This makes about as much sense to me as AI-powered air traffic control

Maybe for Enterprise scale, for ramen scale hackers if you need 15 spaces you just add 5 to start with then use space_10. Clean and, importantly, dry.

Is there a local model that can run this?

Subtlety in a joke is a beautiful art. BUT AT WHAT COST.

I must admit, I stopped keeping up with the new AI terms after J-space. Absolute peace of mind.

I'm afraid the performance won't be great. Definitely needs a caching layer.