I’m pleased to share that we’ve launched the TRACE Institute.
A new research effort bringing together physicists, mathematicians, biologists, neuroscientists, and philosophers on a key question in science: what are observers, and how are they related to spacetime and reality?
now now,
Don't be fooled by eminence front of the visible names; it's worth recalling how much the blossoming of the tech right has been stoked for some time,
and was well-met by very specific 'special interests'
2024-2026 is a golden era of opportunity, for some.
'Much of the challenge right now is balancing supporting the pursuit, positively, of outcomes and implementations, while maintaining (or, perhaps, addressing) the legitimacy crises that have emerged around tech- and ai-hype.
‘Yeah this is great, but, we know how the world works now’, is sort of a particular strand of discontent emerging in the 2020s.'
https://t.co/9F88PLeuca
Thank you to Dr Bradly Alicea,
@JesParent and @mehular0ra
for mentoring and guiding me throughout the application process. Looking forward to contributing to the community!
This summer, I’ll be working with @INCForg and @OpenWorm as GSoC scholar, applying Spatio-Temporal Graph Neural Networks to map C. elegans embryonic development.
Many thanks to my mentors and the organization for the opportunity.
Project details: https://t.co/ltiJAXPHxb
@boazbaraktcs Related| Performing as Human in 2026: AI's latest twist on 200 years of Mediated Presence
An abridged history of performing for audiences you cannot see, and the new wrinkle in it. Competing against GenAI now, development of theories of audience then.
https://t.co/DWYhF81WL3
@boazbaraktcs Related| Performing as Human in 2026: AI's latest twist on 200 years of Mediated Presence
An abridged history of performing for audiences you cannot see, and the new wrinkle in it. Competing against GenAI now, development of theories of audience then.
https://t.co/DWYhF81WL3
I'm constantly irritated that I don't have time to read the torrent of cool papers coming faster and faster from amazing people in relevant fields. Other scientists have the same issue and have no time to read most of my lengthy conceptual papers either. So whom are we writing these papers for?
I guess, at least until they fall in to the same issue from their own work, AI's will be the only ones who actually have the bandwidth to read all this stuff. I'm not specifically talking about today's language models - let's assume we mean whatever inevitable AI shows up, that is able to read the literature and have impact on the research (whether by talking to humans or by running lab automation/robot scientist platforms).
So then: how should we be writing, knowing that a lot of our audience will be AI (plus cyborgs, hybrots, augmented humans, etc.)? Maybe it's too early to know what to do, but we better start thinking about it because assuming our audience will always be today's humans seems untenable. Taking seriously the idea that someday the impactful audience will be very different, and that the things we write now are in some sense a training set for truly diverse future beings, how does our writing change? or does it?
what say you @danfaggella@mpshanahan@Plinz@blaiseaguera ?
NEW: $3M in Fast Grants for AI-driven life sciences research.
We’re funding pilot projects in AI diagnostics, prediction, and personalized therapeutics — with a two-week review turnaround.
35 grants · $25K–$100K · Deadline: June 15
Please share!
https://t.co/7h7gcSF1md
Applications are now open for the MESEC Workshop 2026: Computational Modelling for Consciousness Science — From Fragmentation to Integration. The workshop will take place in Carcassonne, France, from 29 August to 5 September 2026.
https://t.co/XhaaVJ5JzM