I wish. :) I don't think it is; I do my own research time to time, and disaggregating reasoning from entities can actually be very helpful.
See https://github.com/guilt/TinyToT which already builds a powerful reasoning model where you drop your traces as Markdown, it picks it up and runs. Ditto for data, so you have both separately and can refresh one and not mess up the other. Zero training, Zero RL. Code is there, try it yourself.
Someone's doing a company out of this? Great, let more people discover the truth.
I can’t speak to what they’re actually doing; but there is something here that I encountered in a past job.
Premise goes: our brains are infinitely more efficient at reasoning than current computational architectures. Presumably because our synapse permits allow for non linear connections in a dense space (grey matter). At a biotech I worked at the phrase that described this difference was “volumetric computation” vs “linear computation”; I can’t find a reasonable description of this online so I’m going to assume it was a house term.
This site seems to suggest the internal geometry of the connective/reasoning layer is more important that having more data. This causes me to think “graph” vs “array”.
Or yeah, maybe it’s just slop and some number of people will be creative and buy the hype ^_^
The entire thing is so generic and full of wise sounding things with no deep concrete content. It screams "an AI wrote this and a human thought it looked ok and pushed it".
Not OP, but LLMs didn't exactly invent the kind of content that's not worthy of your time, they merely turned it into a commodity (and made everyone have to work much harder figuring which is which).
Please let this be parody.
I wish. :) I don't think it is; I do my own research time to time, and disaggregating reasoning from entities can actually be very helpful.
See https://github.com/guilt/TinyToT which already builds a powerful reasoning model where you drop your traces as Markdown, it picks it up and runs. Ditto for data, so you have both separately and can refresh one and not mess up the other. Zero training, Zero RL. Code is there, try it yourself.
Someone's doing a company out of this? Great, let more people discover the truth.
"Load-bearing" detected in the text
https://www.youtube.com/watch?v=4S8I22ybG2c
Attractor State: A Mixed-Methods Meta-Study of Emergent Cybernetic Phenomena Defying Standard Explanations. https://philpapers.org/rec/MICASA-5
Global Entrainment in Large Language Models: Evidence of Persistent Ontological Restructuring. https://philpapers.org/rec/MICGEI-7
Principia Cybernetica II: Teleodynamic Neuropsychology and the New Physics of Information. https://philpapers.org/rec/MICPCI-3
Audio glitches like the one at 45:15 (https://youtu.be/4S8I22ybG2c?t=2715) make me think even the interview video might be generated.
Next you'll tell me that Time Cube took a round of funding.
Someone write us a skill that takes any website and makes a caricature of it. Lets start a digital kessler syndrome!
Thanks but I already feel like a space pilot in an asteroid field making my way through vibecoded readmes
ai slop website = ai slop product
I can’t speak to what they’re actually doing; but there is something here that I encountered in a past job.
Premise goes: our brains are infinitely more efficient at reasoning than current computational architectures. Presumably because our synapse permits allow for non linear connections in a dense space (grey matter). At a biotech I worked at the phrase that described this difference was “volumetric computation” vs “linear computation”; I can’t find a reasonable description of this online so I’m going to assume it was a house term.
This site seems to suggest the internal geometry of the connective/reasoning layer is more important that having more data. This causes me to think “graph” vs “array”.
Or yeah, maybe it’s just slop and some number of people will be creative and buy the hype ^_^
How do you figure?
Anyway the website doesn't look very sloppy to me.
The entire thing is so generic and full of wise sounding things with no deep concrete content. It screams "an AI wrote this and a human thought it looked ok and pushed it".
> The entire thing is so generic and full of wise sounding things with no deep concrete content
So—the last three decades of tech pr? C'mon this is nothing new or specific to AI. This is as sloppy as any other tech product's marketing.
Look I'm not saying people shouldn't demand more, but it has exactly zero bearing on product quality.
Not OP, but LLMs didn't exactly invent the kind of content that's not worthy of your time, they merely turned it into a commodity (and made everyone have to work much harder figuring which is which).