jakswa · HackerLangs

vor 15 Stundendiscuss

what model did you try it with? I agree and also push back a bit: How will we know when the LLMs reach the point of handling it if no one takes the leap? I applaud more people sludging through the slop and hauling their slop buckets around.

An example is Fable being released. I felt like the most complex thing I was willing to sludge through was having it clone llama-server's web UI with my own opinions (I really like the original, kudos to them). And the initial skeleton was working so well I felt like I had sunk the tokens and committed to getting it the rest of the way: https://inkcap.click

jakswa

gesterndiscuss

I'll agree and expand on "weird restrictions" -- I used to check the claude usage graphs multiple times a day to see where I'm at on my weekly budget. With gpt 5.5 I don't think I'm working differently but haven't felt the need to check anything because I think I've hit my limit... once? on some egregious edge case scenario iirc

jakswa

vorgesterndiscuss

Probably not _as_ good, but you can run gemma 4 for the ears/brain (accepts audio input), and kokoro TTS for the mouth. You want something like silero VAD sitting in front of the LLM so you aren't passing wasteful audio to gemma 4, so you send only voice activity segments. I type all this because I tried it out recently as a Zork experience, seeing how creative Gemma 4 12B could be. It was surprisingly good!

jakswa

vor 3 Tagendiscuss

The best project I found to throw it at was cloning llama-server's web UI essentially in one shot. I'm not sure what I'll do with 5 extra days, maybe try to imagine some complex features. I'm no longer surprised at how much seems to work in these "new brain what can it do?" test, and instead think the risk is feeling like I have to take it the rest of the way once I've sunk the token cost :| https://inkcap.click

jakswa

vor 6 Monatendiscuss

https://jake.town

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