george_ciobanu

Joined 16 years ago

Karma
220
Submissions
162
Member since
Dec 6
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Recent submissions

Comment · 6 months ago
the proxy uses a cheap, small model (like gpt-5.4-mini by default) behind the scenes to save tokens on the expensive main model.

Because the proxy has a little bit of overhead per turn, the break-even point depends entirely on session length.

Short sessions (e.g., 2 rounds): The proxy's overhead might actually cost you more than you save.

Long sessions (e.g., 69 to 190 rounds): The token savings on the main model are massive and completely dwarf the small model's overhead.

It's not a universal win for quick, one-off queries, but the math becomes highly favorable on long, complex debugging sessions.

Comment · 8 months ago
What was different than you expected? Would love to get your feedback in detail, positive or not. George (at)human(dot)software
Comment · 8 months ago
Thank you - we both map out the dependency graph :-) I'll check yours out too asap!
Comment · 8 months ago
Haha we literally posted at the same time - very cool, also check out mine in the same vein: getpando.ai
Comment · 8 months ago
I'll be online for the next 3-4 hours, ask me anything!
Comment · 1 year ago
If you have long chats scrolling becomes tedious. So I made a simple, clean UI to easily navigate. No data sent anywhere, no login required, 100% free (I can share code if interested). Feedback much appreciated.
Comment · 1 year ago
I built a 100% composable SQL at www.human.software
Comment · 3 years ago
I think it's about the ability of someone who perhaps has a great idea (imagination) but lacks time, resources or the skills (execution) to make it happen. Of course that a talented producer will create a more compelling song (at least for now) but if the tool is an amplifier it should also boost talented composers - their prompts or inputs to prompts might be much more detailed, more interesting, more creative than those of a neophyte. This of course makes some assumptions but I think the draw for most people is that they can "make" something that sounds cool with almost no effort. My belief is that someone who puts more effort in a GPT and has more expertise can get a lot more out of it as well. I could of course be wrong and GPTs might be the big equalizers, but I doubt it.

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