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]
>>>
>>>
>>>
>>>
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