1,449 karma · joined April 19, 2014
https://twitter.com/clehene
This completely confused and misses the point of teleoperation vs following instructions/rules/protocols. Who set the GPS navigation destination?
Any sort of rule following is teleoperation by this definition then ⇒ the whole world is teleoperated.
Hospitals introduced intubation checklists to make sure protocols are followed and patients don't die. How about coding guidelines?
But is it? Again, regardless of the amount, what is the utility?
What's the end goal of academia (assuming broadly as research with humans) when the answers to the deepest questions become commodities at orders of magnitude higher speed and lower cost?
How are federal grants justified and, forgetting the current hierarchy, how is differentiation made? It's currently based on research output, once that becomes irrelevant what is it? We already have IMO, IOI as competitions and I assume just like Olympics this can be a thing, but it's very remote from research.
Take for example Rene Thom after Alexander Grothendieck overshadowed an entire field
> His technical superiority was crushing. His seminar attracted the whole of Parisian mathematics, whereas I had nothing new to offer. That made me leave the strictly mathematical world and tackle more general notions, like the theory of morphogenesis, a subject which interested me more and led me towards a very general form of 'philosophical' biology.
https://mathshistory.st-andrews.ac.uk/Biographies/Thom/
Now amplify this a few orders of magnitude.
> TL;DR I claim that modern science is synonymous with open source software
That's a strong statement that's not supported by the arguments and IMO misguided.
I don't have a problem with "open", but rather with "software".
Both science and software deal with models, however the focus is quite different. I suspect you conflate theory with models.
The goal of science is to produce and test theories — that's an inductive/abductive process. A model, regardless of whether it's reified into mathematical formulas or software, is a means of making a theory operational enough that its consequences can be derived and confronted with observations.
Software often starts downstream of this: it's a reification of theories, models, algorithms, or findings that are the result of research. Of course software can also be used as part of the research process itself. The distinction is roughly the familiar one between research and development.
On the other hand, it’s been clear for a while that software as we knew will end up at a close to 0 marginal value.
> The students heavily utilized AI assistants, specifically Claude Opus 5 and GPT-5.6 Sol, for computational exploration, proof idea generation, and editing.
this is a bit like Enhanced Olympics(https://www.enhanced.com), except that you have someone else compete for you.
My issue is that it makes it hard to distinguish real insight/work etc. from effectively null one.
An old instance of the same issue was with what was called "script kiddie" back in the 90-00s
You have a simple tradeoff to let agents do their thing freely vs highly constrained. The constraints are good in theory but it's the same model that kept "classic" software dumb and unscalable (compared to what we're seeing now) for the past 50 years. You suggest that this tradeoff doesn't exist.
Then you have others like MIRI (Yudkowski) etc. swearing that there's no way to contain AI, and you argue that it's just incompetence.
At a certain level, it can be argued that's incompetence, but it's general meat intelligence incompetence against AI.
https://techcrunch.com/2026/08/31/a-group-funded-by-andreess...
https://www.nytimes.com/2026/05/13/technology/andreessen-hor...
The problem is it looks "backwards" and tries to make the point something (in this case the argument made in the paper) is false because the backwards data doesn't support it. All while completely failing to address the crux of the point being made.