OpenAI Signals That It'll Destroy Startups Using Its Tech to Build Products
futurism.com
futurism.com
So now that this previously 3rd party feature is fully integrated into ChatGPT, that effectively kills any separate app trying to do the same thing.
The fact is, building a whole company that is basically a wrapper around ChatGPT never had any moat to begin with, and I'm not at all surprised that OpenAI would see what cool things people are building on top of ChatGPT and decide to offer that functionality themselves. It's predatory for sure, similar to what Apple has done over time by copying iOS features enabled by jailbreaking, but not surprising in the least.
That's generally true, and OpenAI. especially with GPT-4, seems especially eager to roll features into the core offering.
Partnering with these smaller companies could be a good way for OpenAI to foster its community and spread the benefits of AI more widely; instead, my perception is that they're punishing the little guy for having a good idea and being able to act on it quickly.
If you use someone's API to start your own company, you are an idiot who didn't learn a thing from the past 20 years.
I honestly take this as a litmus test for people who understand the word "positioning".
There's still a massive market for people who want a place with a UX focused around their documents and a specific task, vs ChatGPT's swiss knife approach.
If anything Google is probably the biggest danger to these startups as they start to launch their copilots for docs... not ChatGPT getting this ability
Now their pitch is more focused on collaboration and versioning, and better tailored towards creatives than home users as it once was
Positioning is what lets you win when your core value proposition becomes common: it won't work as well as when your value prop wasn't common, but it can still be highly profitable
Dropbox's market cap is still 9B.
Small compared to MS, sure. But I would really like to be as irrelevant as it :)
Could you please elaborate? What features are these?
In our case we used it to learn about very specific niches that we pivoted to 3 months ago. OpenAI is pretty clearly going to do everything possible to make ChatGPT an enterprise workhorse. If you compete directly with them, you’ll get slaughtered.
My competitors now have very polished interfaces, I didn't but I was early. Now the other tools obviously are more interesting and I am happy to move to the next fun thing :)
Why would I use ChatGPT to process my PDF when I can do it straight from my Google Drive, browser, or device? Why would I use ChatGPT to write a report if I can do it straight from Google Docs or Word? Why would I use ChatGPT to write a email reply for me when I can do it straight from Gmail or Outlook?
Now with open source LLM soon anyone can build AI products without needing to pay OpenAI for API requests.
IMO OpenAI is heavily overvalued especially with how fast open source LLM are being built. Highly unlikely ChatGPT will not survive this decade. OpenAI will need to build better products than what ChatGPT is or they will lose.
The fact that they're still called that at this point is just insulting.
The same mistakes of so-called 'AI companies' especially ChatGPT wrappers being solely built on top of someone else's platform always risk getting themselves sherlocked.
Jasper.ai is a great example of a startup at complete risk after Sam Altman said that "We’re not trying to go and compete with our partners." [1] which a complete and obvious lie.
"OpenAI wins by default if they start to compete against you." [0]
[0] https://news.ycombinator.com/item?id=26149951
[1] https://www.theinformation.com/articles/the-best-little-unic...
Please just save me from playing the “convince my phone to focus on the page so Google translate will work” game.
GPT AIs are great for creative works where it doesn't matter if they just make things up.
However it definitely tends to make things up. I would be very cautious translating longer business texts if you can't correct them yourself.
They can wait and see what is most needed and sell it themselves.
If your use case needs 2-5 servers with a 16 or 70k model. Just to keep reaction time low it doesn't scale right now.
I tried with one 'small' server, but allowing bigger requests to for users as well it sometimes takes over a minute to process. So I added a second smaller one that just handles smaller queries and only if the bigger one is already in use. That works for my average workload of 1-3 messages a minute to get kinda fast responses similar to OpenAI and costs me over $1000 a month on vast.ai or ~$6000 in graphic cards (2x3090 + 2x4090 without power)
But that doesn't work on the weekend where I process up to 30 messages a minute. So I need another 2 X 2x4090 or more adding another $1500 on vast.ai or $6000 in hardware.
Every actually owned card would add about $50 to $70 to my monthly power cost.
Also vast.ai is kinda a gamble but one of the few ways to get access to cheap consumer cards. Renting servers from actual companies in data centers highly drives the price up.
All while my highest monthly OpenAI bill was about $600 so far (with generous limits).
Am I seeing this wrong?
No, that for sure complicates things if you don't have a "base load" you can use your dedicated compute for when your real-time workload is lower than capacity. You would need to design (or use) hybrid local / cloud scaling solution here if you want to keep your costs low.
Something that can spin up some workers when your request queue grows, and kills them when it shrinks.
I am fine with the fact that I am either to early or my business model is flawed.