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Shawn Douglas - Nanoscale Instruments for Visualizing Small Proteins & Bret Victor - Dynamicland

Foresight Institute
Talks
YouTube
2 HN users recommended this talk2 months2022–2023 score 2.5
Years with an HN recommendation, 2007–2026

HN points to Bret Victor's segment as a recent, concrete demonstration of Dynamicland's ideas applied to a specific scientific domain.

A Foresight Institute workshop video with two talks: Shawn Douglas on nanoscale instruments for visualizing small proteins, and Bret Victor on Dynamicland. Victor's part shows biomolecular design built in his Realtalk system with physical objects.

“It shows just how far the Dynamicland concept can be pushed into a hyperspecific feature set customized to fit a single domain” (HN, 2023)

1 strong recommendations · 2 recommendations · 2 citations · Talks · intermediate

5 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@StevenOtto Jul 2023 Strongly recommends
on HN thread Bret Victor: Update July 2023
His latest demo of Realtalk, Biomolecular design in Realtalk, showcases the strenghts of Dynamicland. Really impressive stuff, as usual. [this video]
Biomolecular design in Realtalk showcasing Dynamicland strengths
@jimmySixDOF Jan 2023 Recommends
on HN thread Ask HN: Has anyone fully attempted Bret Victor's vision?
Read more
This is the latest thing I know of from him and was recorded at the 2022 Foresight Designing Molecular Machines Workshop talk called "Nanoscale Instruments for Visualizing Small Proteins" & Bret Victor comes in about 14:14 [1] It shows just how far the Dynamicland concept can be pushed into a hyperspecific feature set customized to fit a single domain -- because they can deconstruct the user experience to that level of detail. Extending a Tangible UI out to the actual OS itself has been the thing at Dynamicland from the get go but here we see it finally as physical 3d objects participating with realtime digital feedback in the built environment !! [1] [this video]
Dynamicland applied to protein visualization with physical objects

Citations, criticism and jokes

@maegul Dec 2022 Cites it
on HN thread When Paper Beats the Screen
A bit wishy-washy, but the general point holds. Since the 90s, I’ve been somewhat surprised to see the PC technology fail to really learn from how well humans have leveraged printed information that is embedded in our environment. I figure screens and projectors are simply harder and more expensive than what would be required for the digital to get paper like. But still, it’s disappointing. Incidentally, just watched a recent Bret Victor talk about his latest application of his RealTalk/Dynamicland system: [this video]
Bret Victor's latest Realtalk application
@tgbugs Sep 2023 Cites it
on HN thread Artificial intelligence can revolutionise science
Read more
We are still quite far from being able to implement these kinds of things at scale. For the literature review piece the key problem is that LLMs are exquisitely bad at working with even the simplest kind of scientific evidence: citations [1, 2]. They will get better, but it is not clear that LLMs can deal effectively with the very sparse kind of evidence that appears in the literature. Also, generating hypotheses isn't exactly the rate limiting step, the bigger issue tends to be when you get people with pet projects/hypotheses in positions of power that dictate funding priorities (e.g. the decades long Alzheimer's Aβ disaster). For automation and instrumentation of labs the vision is on point and there is interest, and active work, if not large amounts of funding, to bring that vision to reality [3, 4, 5]. However, we simply don't have the tooling needed to be able to express the full complexity of experimental protocols in a way that can be verified. Sure you can write a python script to control a robot, but it is exceptionally difficult to extract the scientific meaning from that. My PhD work was to develop a formal language for scientific protocols, and I'll be continuing to develop it, but there is still a long way to go. 1. [link] 2. [link] 3. [this video] 4. [link] 5. [link]
Example of lab automation and instrumentation work

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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