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.
Related:?
Topics that appear in the same chunks as this one. Use this to find semantic neighbors, not ranking neighbors.
A short read on the topic's time range, peak episode, and strongest associations. Use it as the quick orientation before drilling into examples.
deep research appears in 14 chunks across 13 episodes, from 2025-02-24 to 2025-12-08.
Its densest episode is Bits and Bobs 2/24/25 (2025-02-24), with 2 observations on this topic.
Semantically it travels with perfectly bespoke, sensitive data, and search engine, while by chunk count it sits between become increasingly and existence proof.
Over time
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Raw mentions over time. Use this to see absolute attention, not relative rank among all topics.
Range2025-02-24 to 2025-12-08Mean1.1 per episodePeak2 on 2025-02-24
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 14 observations sorted from latest to earliest.
...le to the chat app that created them.
Wouldn't it be cool if people could cache Deep Research reports publicly for others to draw from?
There's a bunch of great papers in the literature that took decades and decades to be noticed and operation...
...cs like War.
A few dynamics of the game popped out to me, that I confirmed with Deep Research.
Assuming no-op ties, in a game of War, whoever holds the high card can never lose it, so they never lose.
If each card is unique, that means there's...
I kick off dozens of deep research style reports every day.
Just random little hypotheses that occur to me that I want to dig into.
Like having reasonably-well-researched content SEO i...
...: A Zero-Click, Service-Side Attack Exfiltrating Sensitive Data Using ChatGPT's Deep Research Agent..
Ars Technica's summary
Eito Miyamura: "We got ChatGPT to leak your private email data…
…All you need? The victim's email address"
Note, this ...
... ends.
If you want to dig in more, I fed my recent Bits and Bobs into ChatGPT's Deep Research and it gave a more in depth report diving into the parallels.
... in the era of AI.
Imagine a private, turing-complete, coactive Notion.
Imagine deep research that keeps running as new data comes in and amends itself.[lr]
...on oriented, to be trusted to do things fully on your behalf.
In my experience, Deep Research often gets tricked by SEO slop.
The slopification of the internet means that most of the data is untrustworthy.
A human looking at the SEO'd slop wou...
...inevitable that I was surprised by their surprise.
I asked ChatGPT to prepare a Deep Research report on why it is and thought it did a pretty good job.
The non-rivalrous nature of software and power of abstraction seem very relevant.
LLMs (including Deep Research) assume your question is coherent or a good one.[vc]
It's very easy to accidentally trick yourself with some superficially good output on a fundament...
...spelling mistakes, write in all lower case, and generally sound unprofessional.
Deep Research communicates in deeply cited multiple page reports.
The first impression that gives is extraordinary but it often fails to be impressive the closer y...
...rect or smudged.
It can help get you oriented in novel domains.
If you think of Deep Research's output as a smudged map, it can still be useful, especially for domains that you're a novice in.
Just don't take it too literally.