A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
OpenAI appears in 85 chunks across 55 episodes, from 2023-11-13 to 2026-04-20.
Its densest episode is Bits and Bobs 6/9/25 (2025-06-09), with 4 observations on this topic.
Semantically it travels with ChatGPT, Anthropic, and Google, while by chunk count it sits between Meta and prompt injection attack; its yearly rank moved from #26 in 2023 to #15 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2023-11-13 to 2026-04-20Mean1.5 per episodePeak4 on 2025-06-09
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 85 observations sorted from latest to earliest.
OpenAI's new responses API is stateful and also offers good enough default integrated tools you can use... that obviously are only available within the Open...
...k fundamental difference between 100% accuracy and 99% accuracy."
"I feel like [OpenAI and Anthropic] have gone to market ahead of product-market fit. I feel like the prompt looks like a product but isn't, or it's only a product for cer...
... polished UX to integrate with Google Docs."
But UXes are very easy to copy.
If OpenAI spends even a day copying this implementation (and there's really nothing to it, other than a polished execution of an obvious and simple idea) then ...
The Washington Post covered an example where OpenAI's Operator did something unexpected.
The user had asked Operator to find cheap eggs around them, then left it alone for a few minutes.
Operator ended...
DeepSeek is a banana peel moment for OpenAI.
A thing that looked untouchable and strong is revealed to actually be very precarious, in an embarrassing way in front of everyone.
...e of the reasons people are implicitly combining them in their heads is because OpenAI, Anthropic, and Google all have entrants in both levels.
But this is more an artifact of the "vertical integration for proof of existence" phase of t...
... times before breaking through.
That implies there's tons of low hanging fruit.
OpenAI tried to keep the reasoning tokens as proprietary advantage.
But it turns out it was extremely easy to copy.
Now they're on a tech island.
OpenAI has...
OpenAI's trying to own the application model now looks much more like an AOL approach to the internet.
The idea that OpenAI could corner this whole market l...
...prietary, non-scalable advantage in a way that will increasingly trap yourself.
OpenAI has an initial proprietary advantage that it's focusing on going all in on the consumer aggregator / walled garden approach.
...ity LLM APIs.
Here's an alternate universe that is totally possible to imagine.
OpenAI releases ChatGPT before they release any API.
They don't ever release an API because it would be "dangerous" …and also undermine their app's differen...
...
Google Search has this property.
Notably, neither of these is true anymore for OpenAI.
OpenAI is no longer the best model.
OpenAI also doesn't seem to have much of a compounding benefit from usage.
OpenAI apparently has 10m paying subscribers.
An impressive number!
Convincing consumers to pay for something, especially a new kind of thing, is extraordin...
...rain's System 1.
That is, highly parallel, vibes matching from past experience.
OpenAI's o1 (codenamed Strawberry) is different: like the brain's System 2.
Heavy, expensive machinery for general purpose problem solving.
Some problems ar...
A few random off-the-cuff reactions to OpenAI's strawberry model in no particular order:
The performance of it is something that could be sometimes cobbled together with a whole lot of prompt-fu ...
It's amazing how much competition there is for LLMs.
Everyone standardized on OpenAI's API, which allows fast switching between providers.
Whichever knowledgebase users store their data in for the LLM to use is very sticky.
The LLM ma...
OpenAI's new advanced voice mode ends most answers with a question.
(At least in my experience.)
I find this annoying, especially if my question was a strai...
...ons imply the querystream isn't particularly valuable to increase model quality
OpenAI is the kleenex of AI - if consumers know a single model provider, they know it. And although other models arguably are higher quality now, they aren'...
There's a gap between Anthropic's Artifacts and OpenAI's GPTs.
Anthropic Artifacts makes it super simple to create a little sandboxed live demo app with whatever UX you want that you can share with anyone...
OpenAI and Anthropic had an underlying LLM model that was so good that they could slap on a demo level of UX and it was a viable product.
But they are not d...
...nsanely powerful, and could be sold today to 100k analysts at a high price… and OpenAI cares about it so little that there's not even a landing page describing what it is that enthusiastic users can evangelize.
The providers all have a ...