A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
quantitative scale appears in 28 chunks across 17 episodes, from 2025-02-18 to 2026-01-26.
Its densest episode is Bits and Bobs 8/25/25 (2025-08-25), with 5 observations on this topic.
Semantically it travels with qualitative nuance, revealed preference, and llms, while by chunk count it sits between load bearing and status quo; its yearly rank moved from #21 in 2025 to #137 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2025-02-18 to 2026-01-26Mean1.6 per episodePeak5 on 2025-08-25
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
Showing 28 observations sorted from latest to earliest.
... to be made for an average member of a market.
LLMs allow qualitative nuance at quantitative scale.
That means that software could now make itself fit a given user instead of the other way around.
... hard to do it at scale while remaining human.
LLMs allow qualitative nuance at quantitative scale.
We just have to choose to apply them in a humanity-affirming way.
LLMs can do qualitative nuance at quantitative scale.
This ability can be used for you, or against you.
By default, it will be used against you.
Distilling dossiers to engage, manipulate, or even blackm...
LLMs can do qualitative nuance at quantitative scale... but at 90% quality.
So they can do a good enough job in a lot of cases, but if you feed their own output back into them, they quickly decohere int...
...idn't save work, they generated work.
But now LLMs can do qualitative nuance at quantitative scale.
We can benefit from infinite software, which means having that a personal system of record is more important than ever before.
The data doesn't just...
...ntology some PM decided on 40 years ago.
Now LLMs give us qualitative nuance at quantitative scale.
Computing can finally navigate relational complexity.
An AI could help you invest in the relationships that actually matter to you, not the ones tha...
Qualitative nuance at quantitative scale allows ranking suggestions based on your aspirations, not your revealed preferences.
Your revealed preferences are dominated by your limbic system.
A...
...who have more context on a given domain.
LLMs, with their qualitative nuance at quantitative scale, would plausibly help people both delegate their votes and also figure out when to override their delegates.
This could be a system to get coherent p...
Qualitative nuance at quantitative scale can either help or harm users.
By default it will be used against users.
How can we make sure it is used to help users in alignment with their aspira...
LLMs give qualitative nuance at quantitative scale.
The kinds of richness and nuance that used to be only possible in qualitative contexts (human in the loop) are now possible in quantitative contexts...
...he 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.
But it won't be the default.
As technologists we'll have to make it happen by emb...
...even more important than 'agentic' computing.
LLMs allow qualitative insight at quantitative scale.
That allows contextual computing for the first time ever.
...f real human aspirations and desire.
Luckily, LLMs allow qualitative insight at quantitative scale; for the first time, computers can understand what we want to want, and help us achieve it… if the system is aligned with the user's interest.
...ata happened rarely.
That limited the oversight to things that could be done at quantitative scale, or the most egregious tails of behavior.
A panopticon kind of game theoretic dynamic.
But LLMs give qualitative insights at quantitative scale.[ge]
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