I haven't made the time to convert my plugin into a GPT but I'm planning to, hopefully it'll be a bit of a smoother experience this go around.
I haven't made the time to convert my plugin into a GPT but I'm planning to, hopefully it'll be a bit of a smoother experience this go around.
Astounding and blows my mind for a 80+b dollar company. The model and tech (and team) is that value of course, but how can't they at the very most basic level, clean up the 'sidebar'. Prompts search and GPT labelling. Even when they had the plugins, most ppl didn't know you had to click on the GPT4 button to revial, because why would they...nothing indicated to (like an arrow). Total amateur hr in the UX and DX dept and they treat they're paid customers like trash.
If this is how Sam Altman thought product leaders at YC to build product I'm shocked. Cause OpenAI is way behind where they should be will literally a million dollars thrown at improving this things in a cpl weeks...and they've had a yr
It's really quite ironic that on one hand, we've got a company on the cusp of developing a superintelligence, and a bunch of open source models lagging not too far behind. But on the other hand, you've gotta install it all with Python - and good luck, because nobody in the ecosystem is pinning dependencies and you're gonna have to re-install the thing every time you run it.
And then on the frontend, you've got the team responsible for creating the interface to the super intelligence. They've actually done a decent job thus far, but it's slow development and disconnected from more ambitious scaling ideas.
That’s a peculiar way to spin it.. not sure how doesn’t that justify poor UX though (what does this even have to do with python)
> but it's slow development and disconnected
It’s as slow and disconnected as they want it to be
I pay for ChatGPT and never got off the waitlist when first announced. Killed all hype for me.
I tried to use this is to create a travel itinerary, TBH, it is the wrong interface for this task, it is slow and it is full of useless information. Ain't good.
The most useful one is probably the PDF reader plugin but now that is part of ChatGPT itself.
Everything outside of the quality of their models is suspect:
- GPTs are super quirky w/ weird limitations... try processing an image file larger than an emoji from base 64 text and watch it render the base64 string in a code window and give up after about 1k tokens. The vast majority of the time it doesn't even try and hallucinates processing what it thinks a file related to the context of the GPT would do.
- The assistants API is a black box of inefficiency and out of control costs due to a propensity to barf huge amounts of context from problematic RAG, etc. Yet it's not obvious in real time because there is no token consumption information like the normal chat API. It's almost like they rolled it out like this to destroy developer trust on the spot by doing a 'gotcha' to anyone naive to roll this out to prod without sufficient testing.
I'm honestly unsure how GPTs will in fact be monetized. Are purchasers required to have a Plus account w/ sellers getting a one time sale? Will sellers have to pay extra usage fees, or a shared subscription type thing split between them and OpenAI?
I think they should just give up on this area of the business. Dev day produced some anxiety by encroaching on the business models of a large segment of newly funded AI startups... then showing the efforts to be half-baked while encouraging more lock-in just is going to erode trust and uptake on API usage in general, possibly having people be relieved when Google Gemini and similar efforts are unveiled in the coming months.
i couldn't have said it better, something i've been feeling for a long time. they have all the engineering expertise, why not the same for product?
it's even more surprising given Altman's ycom experience, it's not like this is a classic engineer-run corp