The 12 Days of OpenAI
Key Points
- The speaker outlines OpenAI’s “12 days” of releases, from the debut of GPT‑4o and reinforcement fine‑tuning to Sora, Canvas, Apple‑integrated AI, advanced voice/video, Projects, ChatGPT Search, developer tools, seamless app integrations, and the landmark GPT‑4o‑mini (referred to as “03”).
- He criticizes the premature, unpolished rollout of GPT‑4o‑mini, arguing that releasing something approaching artificial general intelligence without a consumer‑ready experience is a misstep.
- The speaker likens OpenAI’s release strategy to historic Bell Labs—focus on rapid innovation over polished products—contrasting it with Apple’s consumer‑first approach and suggesting that OpenAI may not be the one to monetize the technology.
- He notes that while many expect a cohesive, market‑ready product from OpenAI, the company’s track record suggests other firms will likely assemble the building blocks into successful consumer applications, and invites listeners to read his longer analysis on Substack.
Full Transcript
# The 12 Days of OpenAI **Source:** [https://www.youtube.com/watch?v=VS0BsDw9kaY](https://www.youtube.com/watch?v=VS0BsDw9kaY) **Duration:** 00:03:01 ## Summary - The speaker outlines OpenAI’s “12 days” of releases, from the debut of GPT‑4o and reinforcement fine‑tuning to Sora, Canvas, Apple‑integrated AI, advanced voice/video, Projects, ChatGPT Search, developer tools, seamless app integrations, and the landmark GPT‑4o‑mini (referred to as “03”). - He criticizes the premature, unpolished rollout of GPT‑4o‑mini, arguing that releasing something approaching artificial general intelligence without a consumer‑ready experience is a misstep. - The speaker likens OpenAI’s release strategy to historic Bell Labs—focus on rapid innovation over polished products—contrasting it with Apple’s consumer‑first approach and suggesting that OpenAI may not be the one to monetize the technology. - He notes that while many expect a cohesive, market‑ready product from OpenAI, the company’s track record suggests other firms will likely assemble the building blocks into successful consumer applications, and invites listeners to read his longer analysis on Substack. ## Sections - [00:00:00](https://www.youtube.com/watch?v=VS0BsDw9kaY&t=0s) **The 12 Days of OpenAI** - The speaker rapidly outlines twelve recent OpenAI releases—ranging from 01 Pro and reinforcement fine‑tuning to Sora, Canvas, Apple integration, advanced voice/video, Projects, ChatGPT Search, dev tools, seamless app links, and the groundbreaking GPT‑4o (03)—and concludes by warning that unleashing such a leap toward artificial general intelligence is irresponsible. ## Full Transcript
YouTube is going to hate me for this I'm
just going to give you the 12 days of
open Ai and that's it and if you one
take at the end and we're going to be
done number one was 01 and 01 Pro big
deal first release of reasoning models
number two reinforcement fine-tuning
really aimed at sort of
Corporations number three was Sora which
was a texted video model aimed at the
consumer that had been promised for
months number four was canvas which had
been in beta for a while number five was
Apple intelligence so they sort of
rapchat GPT into the iPhone that was
when they had the massive outage I think
the two are related uh then we had
advanced voice with video which Google
sort of stole their Thunder on because
they did the same thing with Gemini then
we had projects which is what Claude
already has so you can organize your
files and stuff then we had chat GPT
search which again some of us already
had in beta then we had Dev tools for 01
which is cool which is
necessary 11th we had Seamless app
Integrations people cannot make up their
minds what that one is like people are
just giving up linking to that when
they're building their listicles because
it's like important but like the details
are very not not there um and then last
but not least 03 which is a freaking
huge deal and is an entirely new level
of
intelligence here's my comment at the
end that is no way to release
artificial general intelligence you do
not do that and then expect to be able
to get the Public's
attention and I think that the reason
why I'm frustrated many of the rest of
us are frustrated is that we're used to
the apple style of releases where it's a
consumer facing release and it's
polished and it's focused on what the
consumer needs that's not how this works
this goes back to an earlier tradition
of American innovation in b s Bell Labs
just built stuff and they released it
and they kind of didn't care what order
it was in and they didn't care if it was
polished and they didn't care if it was
ready for the consumer and like 03
wasn't ready like it's not actually out
they're asking for safety researchers
Sam Alman is Shilling it for safety
researchers actively on
Twitter
so I think we should think about open AI
more as Bell labs and less as Apple
because that actually explains a ton of
how they're handling
releases and it implies that you should
not necessarily assume that the company
that delivers the Innovation is the
company that monetizes it the company
that figures out the massive hit
consumer application I see people all
the time assuming that open ey has a
grand strategy and they're going to put
it all together into one seamless
product but I don't see a track record
of that somebody else may take their
building blocks and do that we will see
that's my comment those are the 12 days
of open AI is quite a hodg Podge if you
want a longer discussion of it it's on
my substack cheers