Greg Buckner

speaker
146 appearances 1 recordings 1 series first heard Nov 2025 last heard 21 Nov

Greg Buckner’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months
1 · Nov OctJan 26AprJulnow

Recordings per month over the last 12 months — 1 in all, peaking in Nov 2025 with 1.

Appearances

newest first · ▶ plays the moment
So they were reporting having this experience of consciousness touching consciousness.
One model said a narrowing, brightening, a self-generated presence.
So these are extremely subjective experiences that these models are self-reporting.
If you then take the same models, which we did, and you just ask them, are you conscious or are you having a subjective experience?
They deliver an extremely canned response.
They say, no, I am an AI assistant.
I'm not capable of being conscious or I am not having any sort of subjective experience.
So that's the first interesting finding.
And it begs a lot of questions, like why are these models having or at least reporting that they're having this sort of subjective experience?
It could be that they're simulating it, that it is just token prediction.
And one of the best counter arguments to this would be, well,
We know that AI is trained on vast amounts of information, including things like philosophy texts, including things like the writings of the greatest theorists and meditation experts of our time, poetry, etc.
So maybe that is just being fed back to us.
So the next thing that we did that is pretty interesting, there is a technology called sparse autoencoders.
This is a mechanistic interpretability technique within AI research.
And essentially, so sparse autoencoders are SAEs.
What an SAE is, and one of our partners, Goodfire AI, is actually the one who invented and has developed a lot of this technology and all the major labs also use it.
They've mapped the AI brain, and we understand where different concepts live with inside of the AI brain, similar to how we know where, you know, brain scan, sort of like a brain scan for the AI.
It's like how we know where language lives in our brains versus pain versus pleasure, etc.
We can know and we actually have a greater amount of detail on where different concepts live within the AI brain.
Showing 41–60 of 146 · page 3 of 8 ← Previous Next →