Topic: ChatGPT

195 mentions · 158 chunks · 69 episodes

29.5× distinctiveness vs baseline
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How much more common this term is here than in ordinary English. Higher values mean the topic is more characteristic of this corpus.
2.7x burst in 2025 Q3
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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.

Topic summary

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A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
  • ChatGPT appears in 158 chunks across 69 episodes, from 2024-01-29 to 2026-06-15.
  • Its densest episode is Bits and Bobs 5/5/25 (2025-05-05), with 6 observations on this topic.
  • Semantically it travels with OpenAI, memory feature, and Claude, while by chunk count it sits between Claude and Google; its yearly rank moved from #13 in 2024 to #6 in 2026.

Over time

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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Mean 2.3 mentions per episode across the full range2024-01-29: 2 mentions2024-02-05: 1 mention2024-02-12: 3 mentions2024-02-20: 1 mention2024-03-04: 1 mention2024-03-18: 1 mention2024-03-25: 1 mention2024-04-08: 1 mention2024-04-15: 2 mentions2024-04-29: 3 mentions2024-05-20: 1 mention2024-06-17: 1 mention2024-09-16: 1 mention2024-10-21: 1 mention2024-11-11: 1 mention2025-02-18: 1 mention2025-02-24: 1 mention2025-03-24: 1 mention2025-04-21: 2 mentions2025-04-28: 2 mentions2025-05-05: 6 mentions2025-05-12: 3 mentions2025-05-19: 5 mentions2025-05-26: 3 mentions2025-06-02: 3 mentions2025-06-09: 6 mentions2025-06-16: 2 mentions2025-06-23: 5 mentions2025-06-30: 2 mentions2025-07-07: 3 mentions2025-07-21: 6 mentions2025-07-28: 3 mentions2025-08-04: 1 mention2025-08-11: 4 mentions2025-08-18: 6 mentions2025-08-25: 4 mentions2025-09-02: 5 mentions2025-09-08: 1 mention2025-09-15: 4 mentions2025-09-22: 2 mentions2025-09-29: 3 mentions2025-10-06: 2 mentions2025-10-13: 4 mentions2025-10-20: 5 mentions2025-10-27: 2 mentions2025-11-04: 2 mentions2025-11-10: 3 mentions2025-11-17: 2 mentions2025-11-24: 1 mention2025-12-01: 1 mention2025-12-08: 2 mentions2026-01-12: 1 mention2026-01-19: 2 mentions2026-01-26: 1 mention2026-02-02: 1 mention2026-02-09: 5 mentions2026-02-16: 1 mention2026-02-23: 1 mention2026-03-02: 1 mention2026-03-09: 1 mention2026-03-17: 1 mention2026-03-30: 1 mention2026-04-06: 1 mention2026-04-13: 3 mentions2026-04-20: 2 mentions2026-05-11: 1 mention2026-05-18: 1 mention2026-06-01: 2 mentions2026-06-15: 3 mentions2024-01-29: 22024-02-05: 12024-02-12: 32024-02-20: 12024-03-04: 12024-03-18: 12024-03-25: 12024-04-08: 12024-04-15: 22024-04-29: 32024-05-20: 12024-06-17: 12024-09-16: 12024-10-21: 12024-11-11: 12025-02-18: 12025-02-24: 12025-03-24: 12025-04-21: 22025-04-28: 22025-05-05: 62025-05-12: 32025-05-19: 52025-05-26: 32025-06-02: 32025-06-09: 62025-06-16: 22025-06-23: 52025-06-30: 22025-07-07: 32025-07-21: 62025-07-28: 32025-08-04: 12025-08-11: 42025-08-18: 62025-08-25: 42025-09-02: 52025-09-08: 12025-09-15: 42025-09-22: 22025-09-29: 32025-10-06: 22025-10-13: 42025-10-20: 52025-10-27: 22025-11-04: 22025-11-10: 32025-11-17: 22025-11-24: 12025-12-01: 12025-12-08: 22026-01-12: 12026-01-19: 22026-01-26: 12026-02-02: 12026-02-09: 52026-02-16: 12026-02-23: 12026-03-02: 12026-03-09: 12026-03-17: 12026-03-30: 12026-04-06: 12026-04-13: 32026-04-20: 22026-05-11: 12026-05-18: 12026-06-01: 22026-06-15: 32024-01-292026-06-15

Observations

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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.

LLMs are inherently bland.

from Bits and Bobs 4/29/24 ·

LLMs are inherently bland. If you ask ChatGPT to ask you an interesting question it'll say something super generic like: "What movie or book do you think everyone should read or see, and why?" LL...

Stray thoughts on LLMs.

from Bits and Bobs 2/20/24 ·

... concept, it's a good sign that there isn't a clear consensus on it in society. ChatGPT turns unknown unknowns into known unknowns. It's useful when you don't even know what questions to ask. You still don't know the answers, but at leas...

A few stray thoughts on LLMs.

from Bits and Bobs 2/12/24 ·

A few stray thoughts on LLMs. I love using ChatGPT as a kind of family feud "what will the average (X category of person) think about this phrase". Kind of an automatic wisdom of the crowds. If you ha...

LLMs make it easier to play with E-Prime.

from Bits and Bobs 2/5/24 ·

...bels as cheat codes. Talking in E-Prime is hard, an intense mental workout. But ChatGPT is really great at translating a phrase into E-Prime. It helps you practice doing it, and helps you see where you were accidentally relying on an ove...