In security, the humans are the weakest point.
...ed, totally bespoke phishing lures for individual people. Qualitative nuance at quantitative scale.
Topic: quantitative scale
29 chunks · 18 episodes
3.5x burst in 2025 Q3
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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.
- quantitative scale appears in 29 chunks across 18 episodes, from 2025-02-18 to 2026-05-26.
- 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 allow, while by chunk count it sits between status quo and silicon valley; its yearly rank moved from #17 in 2025 to #102 in 2026.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Observations
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The primary evidence view for this topic. Sort it chronologically when you want concrete examples behind the larger pattern.
With LLMs we can move from Product Market Fit to Person Market Fit.
... 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.
LLMs allow the possibility for resonance at a scale that has never been possible before.
...'t be done quantitatively, only qualitatively. LLMs allow qualitative nuance at quantitative scale.
There is structurally less qualitative user research than there should be.
... can't learn unexpected things as easily. But LLMs can do qualitative nuance at quantitative scale.[jj]
Scale doesn't have to be inhuman.
... 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.
In tech, revealed preference became the norm.
...entions. LLMs allow us to change that, because they allow qualitative nuance at quantitative scale.
Coasean Bargaining at Scale Decentralization, coordination, and co-existence with AGI
...er great piece on the Cosmos blog. Another implication of qualitative nuance at quantitative scale.
LLMs can do qualitative nuance at quantitative scale.
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...
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...
There's a missing software category: Personal System of Record (PSR)
...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...
We're missing authentic social software.
...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.
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...
I'm intrigued by Jim Rutt's formulation of Liquid Democracy.
...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...
LLMs can absorb an implicit pattern from examples.
...ely expensive process to distill those rules! LLMs can do qualitative nuance at quantitative scale.[ce]
Qualitative nuance at quantitative scale can either help or harm users.
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...
Modernity and resonance have been in tension since the industrial revolution.
...reate the potential to harmonize them, because they allow qualitative nuance at quantitative scale.
LLMs give qualitative nuance at quantitative scale.
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...
Scale makes systems inhuman.
...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...
AI allows contextual computing.
...even more important than 'agentic' computing. LLMs allow qualitative insight at quantitative scale. That allows contextual computing for the first time ever.
I think this paper on Full Stack Alignment is very important in an age of AI.
...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.