rdlecler1

10 ms·

1.
by rdlecler1 8mo ago
that wavelength penetrates the skin. you need to be around 222nm for human safety uviquity has prototypes of a 220nm solid state chip they’ll commercialize next year (we’re an investor). a single far-uvc photon will destroy the covid virus.
2.
by rdlecler1 2y ago
You clearly have deep understanding of base reality and the emergence of complexity. So please share an actual argument.
3.
The Curious Similarity Between LLMs and Quantum Mechanics(robleclerc.substack.com)
16 points by rdlecler1 2y ago|14 comments
4.
Super Intelligence ≠ Hyper Intelligence(robleclerc.substack.com)
3 points by rdlecler1 2y ago|0 comments
5.
by rdlecler1 2y ago
It’s the other way around. Waymo may do the job exquisitely, but exquisite is also expensive. Telsa has always constrained their system to lower cost hardware. It’ll be easier for Tesla to eventually punch through than for Waymo to cut thei
6.
by rdlecler1 2y ago
Power eventually turns a high trust society into a low trust society when that power is used to one’s own advantage.
7.
by rdlecler1 2y ago
Think different. No kidding. No one is going to think this.
8.
by rdlecler1 2y ago
YC is putting through 200+ companies per batch and making a tiny investment. It’s far more efficient to swallow the occasional bad bet than to do a lot due diligence… Now the VCs that came in after… that’s another story.
9.
by rdlecler1 2y ago
This is a great point. LLMs may flood an app with more features without making it better. At the end I do the day you still need to make something people love. AI may help you build that faster if you know what do build, but it’s not going
10.
by rdlecler1 2y ago
Remember there is still survival bias here. We’re not seeing the complications from people who died of the infection.
11.
by rdlecler1 2y ago
Do driverless cars make all this moot?
12.
by rdlecler1 2y ago
Super interesting.
13.
by rdlecler1 2y ago
This sits in a larger field of complexity theory and complex adaptive systems. There was also some interesting work on “Artificial Life” although that research program seems to have fallen out of favor. My introduction in 1995 was the book
14.
by rdlecler1 2y ago
I could have bogged the essay down with qualifiers to address all the potential straw man objections, but that didn't seem productive. It's easy to take an uncharitable view on this, but I do explain more about GRNs later in the e
15.
by rdlecler1 2y ago
I'm not arguing that this approximator is necessary (not sufficient) for this class of networks. I've proposed some conjectures on what we might expect to see, but there are certainly other salient ingredients and common principle
16.
by rdlecler1 2y ago
This is a great question, and I don't yet have an answer. I'm going to butcher this description, so please be charitable, but functionally, the attention mechanism reduces the dimensions and uses the coincidence between the Q and
17.
by rdlecler1 2y ago
More generally there’s graph neural networks, for instance, but not you’re including many dynamic networks that are not open-ended or evolvable. The idea is to identify common dynamics and add constraints on the types of networks that are i
18.
by rdlecler1 2y ago
Genetic systems code gene regulatory networks. I spent most of the essay on them.
19.
by rdlecler1 2y ago
Those neurons are being trained the day we were born. Reality corresponds to about 11 million bits per second. What I suspect’s happening is that we train higher and higher levels of abstraction and we get to a point where new knowledge is
20.
by rdlecler1 2y ago
Activation functions are implementation details. See appendix for the general formula.
21.
by rdlecler1 2y ago
No, graphs are too inclusive.
22.
by rdlecler1 2y ago
The original papers were published in scientific journals. More assertive claims aren’t kosher.
23.
by rdlecler1 2y ago
You’re right. Writing is hard—especially when you’re cutting across disciplines. I wasn’t happy with the writing, but I stand by the claims.
24.
by rdlecler1 2y ago
I don’t know if this exists outside of spacetime, but I have a suspicion that UACs didn’t begin with gene regulatory networks, but are more fundamental part of a computational universe hypothesis.
25.
by rdlecler1 2y ago
Are those just implementation details?
26.
by rdlecler1 2y ago
The topology needs to be information bearing. Weights of 0.0001 are likely spurious and if other weights are so relatively big they can effectively make the other fan in weights spurious as well.
27.
by rdlecler1 2y ago
No, too inclusive.
28.
by rdlecler1 2y ago
Despite vast implementation constraints spanning diverse biological systems, a clear pattern emerges the repeated and recursive evolution of Universal Activation Networks (UANs). These networks consist of nodes (Universal Activators) that i
29.
General Theory of Neural Networks(robleclerc.substack.com)
217 points by rdlecler1 2y ago|92 comments
30.
by rdlecler1 2y ago
Agree, will pass this on to the team. Thanks for the feedback

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