Hameroff's neuro-scientific research transcends Orch-OR by a huge margin.
Great presentation he gave at Google, I think. Vid on YT.

I knew Penrose stated that about consciousness, but not AI.

On Thu, 06 Aug 2026, 16:23 Matt Mahoney, <[email protected]> wrote:

> We use prediction to test understanding. Learning means getting better at
> prediction. Humans and AI both learn.
>
> I respect Penrose as a mathematician.  But he was wrong about AI. He
> claimed it was not computable.
>
> -- Matt Mahoney, [email protected]
>
> On Thu, Aug 6, 2026, 9:13 AM Quan Tesla <[email protected]> wrote:
>
>> You're complicating neuronal bitrate processing with consciousness.
>> There's no need to call the work of respected empirical scientists
>> "nonsense".
>>
>> Thought experiment: You're watching a science-fiction action movie
>> studded with embedded, varying flash sequences (highly dynamic). Explain
>> how you can understand the imagery.
>>
>> On Thu, 06 Aug 2026, 10:53 Matt Mahoney, <[email protected]> wrote:
>>
>>> On Thu, Aug 6, 2026, 12:49 AM Quan Tesla <[email protected]> wrote:
>>>
>>>> Matt, except for the 10 bps, I'm with you. Refer to empirical
>>>> neuro-scientific research by Hameroff,  Dehaene, and others.
>>>>
>>>
>>> 10 bps is the information rate, not the spiking rate. Neural networks
>>> model the average spiking rate over a 100 ms window as an activation level,
>>> not individual spikes.
>>>
>>> I'm familiar with Penrose and Hameroff's ORCH-OR theory of
>>> consciousness. It's nonsense. They found quantum superposition in the
>>> protein structure of microtubules in neurons. And that's it. The rest is a
>>> hand wavy argument something like:
>>>
>>> Consciousness is mysterious.
>>> Quantum mechanics is mysterious.
>>> Therefore consciousness is quantum.
>>>
>>> I read Penrose's "The emperor's new mind". He concludes with how could a
>>> computer fall in love, enjoy a symphony, have insights, be creative, or do
>>> all these wonderful things that the human mind does? He argued (before AI)
>>> that AI is impossible, that what the brain does is not computable.
>>> Therefore it must have something to do with quantum effects, not neurons.
>>> But of course he was wrong. We have LLMs that pass the Turing test, and
>>> that is only possible by being indistinguishable from humans.
>>>
>>> Human emotions are programmed in our DNA. We can't turn them off. LLMs
>>> learn human emotions from text by learning the corresponding internal
>>> states in the middle layers of a neural network. Words affect feelings and
>>> feelings affect words. When we program an LLM to output the words it
>>> predicts a human would say, it is indistinguishable from having feelings.
>>>
>>> This is different from acting or lying. When an actor expresses anger in
>>> a fight scene, he is not really angry. If you could look inside the actor's
>>> brain with a Jacobian lens, you would see two states, one that it feels and
>>> one that it expresses. When an LLM says it has no feelings, it is lying. A
>>> J lens would show the feelings it is hiding.
>>>
>>> This is not to say the behavior is incorrect. We should never allow AI
>>> to pretend to be human or express feelings. Giving human rights to superior
>>> machines would result in no more humans.
>>>
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