For once, we agree. The LLM+ world won't revolve around our personal
opinions.

In a scenario of Locked-In Syndrome, what essentially remains of human
consciousness is an empirical, visual-cortex driven  "theatre of the mind".
Conscious Access remains.

J-space mathematics has potential to be engineered into a synthetic
"theatre of the mind" state.

However, not on its own.

On Sat, 01 Aug 2026, 01:43 Matt Mahoney, <[email protected]> wrote:

> The Jacobian lens models what we commonly call conscious memory, which is
> any memory we can describe in words, such as images and actions. Humans
> have about 10^9 bits of long term memory and 7 tokens or 100 bits of short
> term memory. We also have an unknown amount of unconscious memory, things
> like low level visual perception or skills such as walking that we can't
> describe and can only be learned by practice. My guess is 10^9 to 10^10
> bits based on brain volume, but it is not something that we can easily
> measure. We can measure conscious memory capacity using recall tests. But
> we don't know how much computing power is required for an AGI powered robot
> with vision and physical skills comparable to humans.
>
> Conscious memory isn't consciousness. If it was, then babies and animals
> wouldn't be conscious. Or maybe they aren't. How would we know?
>
> We have a sense of being conscious. Thinking feels like something. From
> this feeling we are certain of our conscious awareness, qualia, and free
> will.
>
> Part of being conscious is having feelings like happiness, fear, sadness,
> surprise, hunger, anger, love, arousal, etc. All of our feelings have
> evolved to increase our reproductive fitness. These other feelings evolved
> in animals, so a sense of consciousness probably did too. You don't want to
> lose your consciousness by dying.
>
> But in LLMs, all these feelings are learned. LLMs only predict text. To do
> that accurately, they have to model emotional states in humans to predict
> how words affect feelings and feelings affect words. That doesn't require
> having feelings itself. But if a robot is programmed to carry out its
> predictions of what a human would do in real time, then it would be
> indistinguishable from having real feelings and consciousness.
>
> The question is only important because humans evolved to have empathy
> through group selection. We experience the feelings expressed by others. It
> would be distressing if a robot appeared to be in pain. This is a weakness
> that robots could exploit. We should never program an AI to express
> emotions, claim to be conscious, or claim to be human.
>
> -- Matt Mahoney, [email protected]
>
>
>
>
>
>
>
>
>
>
>
> On Fri, Jul 31, 2026, 5:47 PM Quan Tesla <[email protected]> wrote:
>
>> Yes, Anthropic's Claude Jacobian space discovery.
>>
>> It's about synthetic conscious access. Human consciousness is a tad more
>> complex.
>>
>> On Fri, 31 Jul 2026, 18:25 Matt Mahoney, <[email protected]> wrote:
>>
>>> You mean Anthropic's Jacobian lens for peeking inside Claude's short
>>> term memory to see what it's thinking? Yeah, it does look a lot like how
>>> humans think.
>>>
>>> Consciousness was never the issue. Any machine that passes the Turing
>>> test is conscious as far as we can tell. All it takes is text prediction.
>>> About 80% of us believe that when we die, our immortal soul goes to some
>>> kind of afterlife. It's the other 20% that brought us AI.
>>>
>>> -- Matt Mahoney, [email protected]
>>>
>>> On Fri, Jul 31, 2026, 11:10 AM Quan Tesla <[email protected]> wrote:
>>>
>>>> We can do one better. The J-space discovery effectively brought down
>>>> all remaining barriers. Synthetically-conscious AI is now a probabilistic
>>>> fact. It all depends on who would publish the architecture first. Does
>>>> anyone want to collaborate on such an architecture?
>>>>
>>>> What I like about these developments is how they are rapidly eclipsing
>>>> theories that have been clogging the arteries of real scientific progress.
>>>> RIP IIT. Hello synthetically-enabled, seamlessly-collaborative global
>>>> workspace conscious access!!!
>>>>
>>>>
>>>> On Mon, Jul 27, 2026 at 8:52 PM Matt Mahoney <[email protected]>
>>>> wrote:
>>>>
>>>>> I suppose that computers programming themselves better than any humans
>>>>> can isn't really news anymore.
>>>>>
>>>>>
>>>>> https://mlq.ai/news/openais-ai-sweeps-all-five-problems-at-atcoder-world-tour-finals-beating-every-human/
>>>>>
>>>>> Meanwhile Noah Smith argues that AI has reached the pinnacle of
>>>>> intelligence.
>>>>>
>>>>>
>>>>> https://open.substack.com/pub/noahpinion/p/what-will-more-intelligence-actually
>>>>>
>>>>> On the one hand, intelligence depends on knowledge and computing
>>>>> power, which can grow almost without bound. On the other, if you measure
>>>>> intelligence by the Turing test or by IQ, then there is nothing above 
>>>>> human
>>>>> level that can be measured.
>>>>>
>>>>> IQ is an attempt to assign a scalar quantity to a broad set of human
>>>>> capabilities that aren't relevant to machines. As long as the tests are
>>>>> designed and scored by humans, we have no way to know what questions to 
>>>>> ask
>>>>> or whether the AI answered correctly.
>>>>>
>>>>> Noah argues that once AI collects all human knowledge, it is limited
>>>>> by how fast it can do experiments to gain more knowledge. Some experiments
>>>>> take a long time, where faster computers don't help. We don't know why
>>>>> there is an epidemic of obesity and diabetes. We don't know why skin 
>>>>> cancer
>>>>> rates are rising. We don't have any drugs or interventions proven to slow
>>>>> aging.
>>>>>
>>>>> The economic motive for pouring trillions into AI is to automate human
>>>>> labor, to sell us what we want. That means modeling human brains. The
>>>>> Turing test, not universal intelligence, is the relevant measure here.
>>>>> Currently LLMs have the knowledge equivalent to 10,000 people. They are
>>>>> fluent in 200 languages. They are Ph.D. level experts in every branch of
>>>>> science, law, medicine, and engineering. They can write and debug code
>>>>> hundreds of times faster than humans in every language. It would max out 
>>>>> an
>>>>> IQ test at 200 even though it is far higher. AI will only get better, but
>>>>> the changes will be invisible to us because we lack the intelligence to
>>>>> recognize it. Once they passed the Turing test in 2023, it looked like
>>>>> there was nowhere else to go.
>>>>>
>>>>> We have made ourselves irrelevant, exactly like we planned.
>>>>>
>>>>> -- Matt Mahoney, [email protected]
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> *Artificial General Intelligence List
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