Topic: tech industry

60 chunks · 43 episodes

3.0x burst in 2025 Q4
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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.
  • tech industry appears in 60 chunks across 43 episodes, from 2023-10-09 to 2026-10-05.
  • Its densest episode is Bits and Bobs 10/13/25 (2025-10-13), with 4 observations on this topic.
  • Semantically it travels with Christopher Alexander, late stage, and silicon valley, while by chunk count it sits between pace layer and Openclaw; its yearly rank moved from #40 in 2023 to #21 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 1.4 mentions per episode across the full range2023-10-09: 1 mention2024-03-11: 1 mention2024-03-25: 2 mentions2024-05-20: 1 mention2024-06-03: 1 mention2024-07-08: 1 mention2024-07-15: 1 mention2024-07-22: 1 mention2024-08-05: 1 mention2024-12-02: 1 mention2024-12-09: 2 mentions2025-02-18: 1 mention2025-04-07: 1 mention2025-06-16: 1 mention2025-06-30: 1 mention2025-07-28: 2 mentions2025-08-11: 1 mention2025-08-18: 1 mention2025-08-25: 1 mention2025-09-02: 1 mention2025-09-08: 1 mention2025-09-15: 1 mention2025-09-29: 2 mentions2025-10-06: 3 mentions2025-10-13: 4 mentions2025-10-27: 2 mentions2025-11-10: 1 mention2025-11-17: 1 mention2025-12-08: 2 mentions2025-12-22: 1 mention2026-01-19: 2 mentions2026-01-26: 1 mention2026-02-09: 1 mention2026-03-30: 1 mention2026-05-18: 1 mention2026-06-22: 1 mention2026-06-29: 3 mentions2026-07-27: 3 mentions2026-08-10: 1 mention2026-08-31: 1 mention2026-09-07: 1 mention2026-09-21: 2 mentions2026-10-05: 1 mention2023-10-09: 12024-03-11: 12024-03-25: 22024-05-20: 12024-06-03: 12024-07-08: 12024-07-15: 12024-07-22: 12024-08-05: 12024-12-02: 12024-12-09: 22025-02-18: 12025-04-07: 12025-06-16: 12025-06-30: 12025-07-28: 22025-08-11: 12025-08-18: 12025-08-25: 12025-09-02: 12025-09-08: 12025-09-15: 12025-09-29: 22025-10-06: 32025-10-13: 42025-10-27: 22025-11-10: 12025-11-17: 12025-12-08: 22025-12-22: 12026-01-19: 22026-01-26: 12026-02-09: 12026-03-30: 12026-05-18: 12026-06-22: 12026-06-29: 32026-07-27: 32026-08-10: 12026-08-31: 12026-09-07: 12026-09-21: 22026-10-05: 12023-10-092026-10-05

Observations

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

Scale makes systems inhuman.

from Bits and Bobs 7/28/25 ·

...to rely on quantitative signals to scale. Those can't be whole and nuanced. The tech industry is fundamentally about scale. LLMs allow qualitative nuance at quantitative scale, which means for the first time we could make human scaled systems....

Play is easy in abundance.

from Bits and Bobs 4/7/25 ·

...wth makes it easier to have an infinite mindset. This is one of the reasons the tech industry historically cared less about titles. Everything was growing, so why sweat it? More mature contexts, like on the east coast, or academia, are way mor...

The PM role is tofu.

from Bits and Bobs 3/25/24 ·

...l context it's in and becomes a particularly concentrated version of it. As the tech industry has gotten more mature and more boring (more about banal first-order optimization), the PM role has also gotten more boring too. It used to be more a...