This is funny, because I just implemented the same feature, but mine is calling OpenAI’s Astra on High (very capable for this kind of feature).

It works great, but maybe your implementation could save me some money. I’ll test it and report back.

I have to be honest. While this is obviously a smart and useful idea, it misses one of the core features of Jev: its confidence scores. Partial confidence could easily be mapped to fractional spaces, using unicode characters like U+2009: THIN SPACE. As it stands, this package is not harnessing the full power of Jev.

Can't believe it's already been 10 years...

https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/

    The tests mock Jev. 

10/10 no notes

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.

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

> This means the package can add between 0 and 10 spaces. If more than 10 spaces are needed, Jev has no correct option. Which feels appropriate for this project.

I'll raise a PR which uses Jev to check if the target length is beyond this range

Man-made horrors beyond my comprehension, neat.

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');
    });

> MIT Licensed

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

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

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

How did this guy get a single-letter GitHub username?

Jev-in-the-Loop. Makes sense.

Would be fun to have a test runner that uses Jev for assertions.

Btw, this model also has very tiny inherent bias: https://jev-bias-analysis.stupidlabs.lol/

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

But is it Web Scale.

I already have Jev fatigue.

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.

what if 11 spaces are needed

> 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.

im so confused about what i should bring up at the 10am today

undefined

Terrorist

Can someone ELI5?

why

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

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.

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

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/

undefined

[dead]

undefined