How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
2.3x burst in 2025 Q4?
Peak quarter intensity across the topic's active span. Higher values mean attention was concentrated into a shorter stretch rather than spread evenly over time.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
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 93 chunks across 59 episodes, from 2023-11-13 to 2026-07-27.
Its densest episode is Bits and Bobs 6/9/25 (2025-06-09), with 4 observations on this topic.
Semantically it travels with Anthropic, ChatGPT, and llm model, while by chunk count it sits between Meta and Claude Code; its yearly rank moved from #19 in 2023 to #13 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 2026-07-27Mean1.6 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 93 observations sorted from latest to earliest.
...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 ...
...technical friend play around with getting AI to write little toy programs.
With OpenAI, I had to copy/paste the generated files into an HTML file for him and refresh the browser to see the output.
A somewhat mystifying step to someone w...
...ining.
For the direct consumer application created by the providers, some (like OpenAI) reserve the right to use the querystream to train.
Interestingly, if I understand correctly, Anthropic explicitly says they won't use the querystrea...
You could argue that OpenAI is a middling success.
In some ways, obviously, it's a massive success.
But OpenAI sought out to change the dynamic of how technology was built in th...
I thought this distillation of Clayton Christensen's theory in the OpenAI Stratechery piece last week was valuable:
"Professor Clayton Christensen's theory of integration and modularity, wherein integration works better whe...
...e for computing similarity (overlap of stemmed words sorted by TF-IDF) to using OpenAI's embeddings.
The improvement was radical. It felt like 10xing the usefulness.
Someone this weekend asked me "what would I have to pay you to get you...