Ethan Mollick: The Dot and The Swarm.
Ethan Mollick: The Dot and The Swarm. Turns out that simply unleashing agents on a problem is enough for them to do a pretty good job. The Bitter Lesson, applied t...
Topic: Ethan Mollick
9 chunks · 9 episodes
2.9x burst in 2023 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.
- Ethan Mollick appears in 9 chunks across 9 episodes, from 2023-10-09 to 2026-10-05.
- Its densest episode is Bits and Bobs 10/9/23 (2023-10-09), with 1 observation on this topic.
- Semantically it travels with industrial revolution, knowhow, and mental model, while by chunk count it sits between paradigm and ai generated; its yearly rank moved from #23 in 2023 to #153 in 2026.
Over time
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Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Last week I talked about humans at "liability meatbag" for LLMs.
...ity meatbag" for LLMs. Also known, in any system, as a "liability sink." I like Ethan Mollick's colorful frame: "sin eater." The entity that eats the sin allows progress to be made. They agree to own the downside if they're wrong. Now it's mor...
Ethan Mollick's review of GPT5: 'It just does stuff'.
Ethan Mollick's review of GPT5: 'It just does stuff'. You can just take for granted that it will work. What if you had an interface other than text that could just...
Don't automate important tasks users do today; automate things they don't bother with today.
...s no worse off than they are today. All upside, no downside. This is similar to Ethan Mollick's frame on LLM quality thresholds of "best available human". Don't compare an LLM's quality to the expert in the field, compare its quality to what t...
An insightful tweet from Ethan Mollick:
An insightful tweet from Ethan Mollick: "It wasn't the steam engine alone that caused the Industrial Revolution. It was the thousands of specific machines invented by skilled craftsmen tha...
Humans learn through peripheral participation in a context.
...ys patient and eager to help, and to just heroically give you the right answer. Ethan Mollick has noted that LLMs will break the implicit apprenticeship model in large organizations. If you've completely stopped reading code, you just copy and...
If you ask an expert if LLMs are good at a task, they'll say it's insufficient.
... You rarely actually have the relevant expert on hand. The standard to beat, as Ethan Mollick has pointed out, is the best available human.
I had a chance to do some scenario planning last week with various folks on the long-range impact of LLMs on humanity.
...ill insight and generate ideas to react to was to augment the human discussion. Ethan Mollick observed this but also realized you can just skip the humans altogether (:gulp:). In all of the scenarios we explored, the rate of scientific discove...
Games are magic at building up knowhow.
Games are magic at building up knowhow. Ethan Mollick has done a lot of research about this, for example in this old Ted Talk. Accelerated expertise is a way of abducting playable games based on experts'...