Deep Research and Knowledge Value

swyx on Twitter / X

icymi, openai also open sourced how their deep research prompt rewriter works + the full prompts todayyou can now build your own deep research agent - with full o3/o4-mini deep research quality - in 20LOCif you're a fan of Claude Research they ALSO dropped how to add… pic.twitter.com/5moxXjzqTj— swyx (@swyx) June 27, 2025

Deep Research, information vs. insight, and the nature of science

What AI will accelerate in the scientific process, what it cannot do, and how we can prepare for new manners of scientific investigation.

DR Tulu: An open, end-to-end training recipe for long-form deep research | Ai2

We introduce Deep Research Tulu (DR Tulu), an open post-training recipe and framework for long-form deep research agents.

The Deep Research problem — Benedict Evans

OpenAI’s Deep Research is built for me, and I can’t use it. It’s another amazing demo, until it breaks. But it breaks in really interesting ways.

DeepMind Institute

Bold, well-evidenced thinking on AGI from the lab that pioneered the field. Read the latest essays from the DeepMind Institute.

DeepSeek

DeepSeek, unravel the mystery of AGI with curiosity. Answer the essential question with long-termism.

AI assisted search-based research actually works now

For the past two and a half years the feature I’ve most wanted from LLMs is the ability to take on search-based research tasks on my behalf. We saw the …

Video: In a talk at the Neuro-Symbolic AI summer school, I argued that research fields progress in explore/exploit cycles, and that while the AI community is very good at the exploit phases, it is… | Arvind Narayanan

Video: In a talk at the Neuro-Symbolic AI summer school, I argued that research fields progress in explore/exploit cycles, and that while the AI community is very good at the exploit phases, it is not so good at the explore phases and tends to get stuck in local minima. Progress toward AGI (though I don't use that term) will be helped if we have strong sub-communities that have different progress criteria from mainstream AI/ML and are big and powerful enough to support scholars' career advancement. Video on YouTube: https://lnkd.in/eUCGUjRx (link goes to timestamp starting at 51:10) The above is Part 1 of the talk; Part 2 is based on this essay with Sayash Kapoor and is about the application of AI to other scientific disciplines. https://lnkd.in/eUHy7aYi Thanks to the Centaur AI Institute for inviting me and to the participants for a great discussion.

Deep learning gets the glory, deep fact checking gets ignored – Rachel Thomas, PhD

AI, science, education, & ethics

Deep-Research Agents Can Be Poisoned via User-Generated Content

Deep-research agents, i.e., systems that rely on multi-agent pipelines to iteratively retrieve, synthesize, and cite Web content in order to produce structured reports, are rapidly replacing...

Deep research requires a slower pace than tech industry work

Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.

Deep research requires a slower pace than tech industry work

Anyone working in an industry for a while will become accustomed to that culture—its processes, its norms, its values, its tacit knowledge. Much of this is incredibly valuable, of course, but these ideas can also represent constraints. There are some important impedances here between tech industry culture and research culture. In particular, tech culture is calibrated to a much faster pace. This can lead to impatience or early abandonment when confronting problems which require a researcher’s pace.

Google DeepMind Is Hiring a 'Post-AGI' Research Scientist

Google is preparing for a future with AGI, ASI, and machine consciousness.