# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/49778162

# I turned Jev into a (lousy) chatbot

134 points · 40 comments

[Full discussion](<https://news.ycombinator.com/item?id=49778162>)

[Read original](<https://github.com/kyle-pena-nlp/jevchat/>)

Category: [Models & Products](<https://hacksnap.live/?category=models-products>)

## Skept-o-meter & Hotness

Skept\-o\-meter: Low\. Estimated from 6 comments\.

2 comments for the summary\.

Peak rank: \#9

Time in Top 10: 24\.0 hours

Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\.

238 recorded rank observations from 2026\-09\-21T08:01:24\.259426\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\.

Hotness — latest 168 recorded Hacksnap ranks:

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The project is a detailed, deliberately impractical Jev chatbot experiment, but the small discussion sample is more skeptical about the value and originality of rapidly replicated Jev gag projects than about the implementation itself\.

## The brief

jevchat is an experimental GitHub project that turns Jev into a chatbot by repeatedly asking it to score the next symbol from a chosen alphabet, sampling from the normalized distribution, appending the result, and stopping when STOP is drawn\. It offers swappable strategies and alphabets, live generation statistics, beam search, and offline tests, while the README describes it as fun, somewhat impractical, and hilarious\.

- The core generation loop asks Jev for a probability over the next symbol plus STOP, samples one symbol, appends it, and repeats until STOP is drawn\.
- Strategies include choice, bisect, buckets, and refine; alphabets include lower26, ascii, tokens, words1k, bpe2k, and bpe5k, with buckets required for alphabets over 255 symbols\.
- The hypothesis presentation, where options are the resulting texts rather than bare symbols, is described as the single largest improvement, roughly tripling top\-1 accuracy and doubling probability mass on the right symbol for character alphabets\.
- The tool supports beam search, temperature, top\_p, top\_k, repetition penalty, shuffling, ensembles, and live readouts of generation rate and top scored symbols\.
- The repository includes 158 offline tests using a scripted fake client and httpx\.MockTransport, while jevchat bench is the part that hits the API\.
- The README frames the project as a Claude\-accelerated experiment for fun, with somewhat impractical cost and hilarious results\.

## Discussion themes

### Jev project ideas are quickly replicated

petesergeant describes repeatedly having Jev\-related project ideas only to find others have already implemented them, including the chatbot idea, and estimates there are likely at least five similar efforts if you scratch the surface\.

Sources: [Comment 49778870](<https://news.ycombinator.com/item?id=49778870>)

### The exercise is criticized as pointless output

applfanboysbgon argues that this is time from pointless idea to bad output, that good software is not resulting, and that hobby project ideas are being harvested pointlessly when the fun and learning were the point\.

Sources: [Comment 49778936](<https://news.ycombinator.com/item?id=49778936>)

## Sources & coverage

AI-generated summary · 2026\-09\-21T08:01:23\.788884\+00:00

Based on 2 of 2 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened.

Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.