Topic: llms

1,749 mentions · 790 chunks · 131 episodes

184.9× 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.
1.5x burst in 2025 Q1
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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.
  • llms appears in 790 chunks across 131 episodes, from 2023-11-06 to 2026-08-03.
  • Its densest episode is Bits and Bobs 10/20/25 (2025-10-20), with 17 observations on this topic.
  • Semantically it travels with ChatGPT, Claude, and Google, while by chunk count it sits between Claude; its yearly rank moved from #2 in 2023 to #1 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 6.0 mentions per episode across the full range2023-11-06: 1 mention2023-11-13: 2 mentions2023-12-04: 1 mention2023-12-11: 1 mention2024-01-08: 2 mentions2024-01-16: 1 mention2024-01-22: 2 mentions2024-01-29: 2 mentions2024-02-05: 1 mention2024-02-12: 2 mentions2024-02-20: 2 mentions2024-03-11: 3 mentions2024-03-25: 3 mentions2024-04-01: 2 mentions2024-04-08: 7 mentions2024-04-15: 4 mentions2024-04-22: 2 mentions2024-04-29: 6 mentions2024-05-06: 7 mentions2024-05-13: 2 mentions2024-05-20: 3 mentions2024-05-27: 2 mentions2024-06-03: 3 mentions2024-06-10: 1 mention2024-06-17: 4 mentions2024-06-24: 2 mentions2024-07-01: 10 mentions2024-07-08: 8 mentions2024-07-15: 2 mentions2024-07-22: 8 mentions2024-07-29: 6 mentions2024-08-05: 3 mentions2024-08-12: 5 mentions2024-08-19: 7 mentions2024-08-26: 6 mentions2024-09-03: 4 mentions2024-09-09: 6 mentions2024-09-16: 6 mentions2024-09-30: 8 mentions2024-10-07: 10 mentions2024-10-14: 13 mentions2024-10-21: 5 mentions2024-10-28: 1 mention2024-11-04: 4 mentions2024-11-11: 6 mentions2024-11-18: 4 mentions2024-11-25: 7 mentions2024-12-02: 4 mentions2024-12-09: 5 mentions2024-12-16: 7 mentions2024-12-23: 5 mentions2025-01-06: 9 mentions2025-01-13: 9 mentions2025-01-21: 12 mentions2025-01-27: 12 mentions2025-02-03: 11 mentions2025-02-18: 11 mentions2025-02-24: 8 mentions2025-03-03: 5 mentions2025-03-10: 9 mentions2025-03-17: 4 mentions2025-03-24: 2 mentions2025-03-31: 8 mentions2025-04-07: 12 mentions2025-04-14: 3 mentions2025-04-21: 5 mentions2025-04-28: 7 mentions2025-05-05: 7 mentions2025-05-12: 5 mentions2025-05-19: 3 mentions2025-05-26: 6 mentions2025-06-02: 10 mentions2025-06-09: 8 mentions2025-06-16: 5 mentions2025-06-23: 8 mentions2025-06-30: 8 mentions2025-07-07: 9 mentions2025-07-14: 3 mentions2025-07-21: 12 mentions2025-07-28: 11 mentions2025-08-04: 4 mentions2025-08-11: 8 mentions2025-08-18: 5 mentions2025-08-25: 11 mentions2025-09-02: 11 mentions2025-09-08: 5 mentions2025-09-15: 8 mentions2025-09-22: 6 mentions2025-09-29: 6 mentions2025-10-06: 8 mentions2025-10-13: 2 mentions2025-10-20: 17 mentions2025-10-27: 7 mentions2025-11-04: 3 mentions2025-11-10: 9 mentions2025-11-17: 9 mentions2025-11-24: 7 mentions2025-12-01: 2 mentions2025-12-08: 8 mentions2025-12-15: 7 mentions2025-12-22: 7 mentions2026-01-06: 3 mentions2026-01-12: 13 mentions2026-01-19: 9 mentions2026-01-26: 9 mentions2026-02-02: 15 mentions2026-02-09: 4 mentions2026-02-16: 3 mentions2026-02-23: 4 mentions2026-03-02: 9 mentions2026-03-09: 10 mentions2026-03-17: 5 mentions2026-03-23: 5 mentions2026-03-30: 7 mentions2026-04-06: 10 mentions2026-04-13: 9 mentions2026-04-20: 11 mentions2026-04-27: 7 mentions2026-05-04: 4 mentions2026-05-11: 6 mentions2026-05-18: 5 mentions2026-05-26: 4 mentions2026-06-01: 7 mentions2026-06-08: 3 mentions2026-06-15: 3 mentions2026-06-22: 1 mention2026-06-29: 3 mentions2026-07-06: 11 mentions2026-07-20: 5 mentions2026-07-27: 6 mentions2026-08-03: 9 mentions2023-11-06: 12023-11-13: 22023-12-04: 12023-12-11: 12024-01-08: 22024-01-16: 12024-01-22: 22024-01-29: 22024-02-05: 12024-02-12: 22024-02-20: 22024-03-11: 32024-03-25: 32024-04-01: 22024-04-08: 72024-04-15: 42024-04-22: 22024-04-29: 62024-05-06: 72024-05-13: 22024-05-20: 32024-05-27: 22024-06-03: 32024-06-10: 12024-06-17: 42024-06-24: 22024-07-01: 102024-07-08: 82024-07-15: 22024-07-22: 82024-07-29: 62024-08-05: 32024-08-12: 52024-08-19: 72024-08-26: 62024-09-03: 42024-09-09: 62024-09-16: 62024-09-30: 82024-10-07: 102024-10-14: 132024-10-21: 52024-10-28: 12024-11-04: 42024-11-11: 62024-11-18: 42024-11-25: 72024-12-02: 42024-12-09: 52024-12-16: 72024-12-23: 52025-01-06: 92025-01-13: 92025-01-21: 122025-01-27: 122025-02-03: 112025-02-18: 112025-02-24: 82025-03-03: 52025-03-10: 92025-03-17: 42025-03-24: 22025-03-31: 82025-04-07: 122025-04-14: 32025-04-21: 52025-04-28: 72025-05-05: 72025-05-12: 52025-05-19: 32025-05-26: 62025-06-02: 102025-06-09: 82025-06-16: 52025-06-23: 82025-06-30: 82025-07-07: 92025-07-14: 32025-07-21: 122025-07-28: 112025-08-04: 42025-08-11: 82025-08-18: 52025-08-25: 112025-09-02: 112025-09-08: 52025-09-15: 82025-09-22: 62025-09-29: 62025-10-06: 82025-10-13: 22025-10-20: 172025-10-27: 72025-11-04: 32025-11-10: 92025-11-17: 92025-11-24: 72025-12-01: 22025-12-08: 82025-12-15: 72025-12-22: 72026-01-06: 32026-01-12: 132026-01-19: 92026-01-26: 92026-02-02: 152026-02-09: 42026-02-16: 32026-02-23: 42026-03-02: 92026-03-09: 102026-03-17: 52026-03-23: 52026-03-30: 72026-04-06: 102026-04-13: 92026-04-20: 112026-04-27: 72026-05-04: 42026-05-11: 62026-05-18: 52026-05-26: 42026-06-01: 72026-06-08: 32026-06-15: 32026-06-22: 12026-06-29: 32026-07-06: 112026-07-20: 52026-07-27: 62026-08-03: 92023-11-062026-08-03

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 like clay.

from Bits and Bobs 1/27/25 ·

LLMs are like clay. [ael]Normal programming is like legos. Precise, unyielding, but flexible in combination. LLMs are inherently flexible. For some use ca...

AI makes it easier to have hobbies.

from Bits and Bobs 1/21/25 ·

...ake work. Many hobbies are very hard to start doing, and hard to get better at. LLMs are great at being an intellectual and creative dance partner, helping you grow in a forgiving environment.[agl][agm] LLMs make it "cheaper" to start...

Are you using LLMs right?

from Bits and Bobs 1/21/25 ·

Are you using LLMs right? The test is, are you thinking more or less? If you give its answer directly to others (without curation), you are giving an average, eroding y...

Google-fu is a temporary phenomenon.

from Bits and Bobs 1/13/25 ·

...ge evaporates. Prompt-fu is the equivalent for getting much better results from LLMs. That implies that people with prompt-fu will get less and less differentiated results as the systems we all use get more mature. But presumably ther...