Topic: search engine

24 chunks · 20 episodes

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.
  • search engine appears in 24 chunks across 20 episodes, from 2024-02-12 to 2026-02-09.
  • Its densest episode is Bits and Bobs 8/12/24 (2024-08-12), with 2 observations on this topic.
  • Semantically it travels with Google, OpenAI, and search result, while by chunk count it sits between resonant computing manifesto and GitHub; its yearly rank moved from #58 in 2024 to #65 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 1.2 mentions per episode across the full range2024-02-12: 1 mention2024-03-25: 1 mention2024-04-08: 1 mention2024-07-01: 1 mention2024-07-15: 1 mention2024-08-12: 2 mentions2024-09-30: 1 mention2024-11-11: 1 mention2025-02-10: 2 mentions2025-02-18: 1 mention2025-04-28: 1 mention2025-07-28: 1 mention2025-08-11: 1 mention2025-08-25: 1 mention2025-09-29: 2 mentions2025-10-13: 1 mention2025-12-08: 1 mention2026-01-19: 1 mention2026-01-26: 2 mentions2026-02-09: 1 mention2024-02-12: 12024-03-25: 12024-04-08: 12024-07-01: 12024-07-15: 12024-08-12: 22024-09-30: 12024-11-11: 12025-02-10: 22025-02-18: 12025-04-28: 12025-07-28: 12025-08-11: 12025-08-25: 12025-09-29: 22025-10-13: 12025-12-08: 12026-01-19: 12026-01-26: 22026-02-09: 12024-02-122026-02-09

Observations

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

ChatGPT says it will do ads.

from Bits and Bobs 1/19/26 ·

...uments being incentivized to get you to buy things is way different from ads in search engine. It's possible to do this well, but it's a tightrope walk across an alligator pit in a hurricane. I don't have confidence that OpenAI has the culture...

The LLMs strip-mined content.

from Bits and Bobs 10/13/25 ·

...ce to bootstrap the models. No thought of sustainability of content production. Search engines were kind of accidentally sustainable, since they delivered clicks to publishers that earned it. But LLMs just slurped it all up like the content wa...

Jargon emerges organically.

from Bits and Bobs 9/29/25 ·

...listeners are more likely to know what it means, and it grows and compounds. In search engines, there are pipelines that detect that key phrases like [MDN] in many contexts should be interpreted like [site:developer.mozilla.org]. This is a kin...

Programming well requires meta-cognition.

from Bits and Bobs 2/18/25 ·

...ence of everyone else, too. That's how a lot of the most valuable features in a search engine are powered. LLMs are fixed in time at training, fossilized. Search engines are constantly adapting and learning as the content ecosystem changes, as...