Tim, notice though that the only intelligence here is what is provided by
human intelligence. None of the various systems have any inherent
intelligence.

My youngest granddaughter has just turned 1 and I have been spending time
watching her develop intelligence and the difference between her and any of
the current systems is possibly on the order of a million orders of
magnitude with the systems being the primitive level.

As I said above, these systems can have possible use cases but only if
humans are controlling them intelligently. It is a matter of finding
specific use cases that work for us.

An appropriate analogy is summed up as: fire is a good servant but a
destructive master.

On Tue, 16 Jan 2024, 1:00 pm Tim Daly, <[email protected]> wrote:

> There is an interesting example of proof earlier in the video:
> https://youtu.be/3pb_-oLfWJ4?t=298
>
> Reinforcement learning (using the Bellman equation[0]) needs
> the ability to at least decide if it succeeds and can use information
> about success in intermediate steps to rapidly improve. It also
> needs a set of actions that can be performed at each step.
> Reinforcement learning has conquered gaming with this structure.
>
> LEAN provides a database of theorems, definitions, and tactics
> that can be applied at each step of a proof. It provides feedback
> about the local success of each action. It provides global success
> once the proof completes. Thus all of the elements needed by
> reinforcement learning are available in proof systems. LEAN's
> theorems are strongly typed.
>
> When training GPT-like systems, reinforcement training is the last
> step (see Karpathy's slide 3):
> https://karpathy.ai/stateofgpt.pdf
> It is straightforward to customize a GPT-like system with LEAN's
> mathematical knowledge to focus on proofs.
>
> We use group theory as our organizational skeleton. One of the steps
> to integrating LEAN and computer algebra is aligning LEAN's axiom
> structure with our category/domain structure (my current research).
> Once that is done then theorems, such as a commutative theorem,
> can be inherited and available to prove a function in a domain.
>
> We use Buchberger's Groebner basis algorithm. This algorithm has
> already been proven in Coq and is in use[1].
>
> It is only a matter of time before the axioms which support the Risch
> algorithm are proven. That will form the basis of proof of our current
> implementation.
>
> Because we are strongly typed and use a group theory scaffold we
> are in a unique position to formalize our algorithms.
>
> The combination of proof systems and computer algebra will be a
> large step in computational mathematics.
>
> Tim
>
>
> [0] Bellman Equation
> https://en.wikipedia.org/wiki/Bellman_equation
>
> [1] Connecting Gröbner Bases Programs with Coq to do Proofs in Algebra,
> Geometry and Arithmetics
> https://arxiv.org/abs/1007.3615
>
>
>
>
>
> On Monday, January 15, 2024 at 6:59:46 PM UTC-5 Dima Pasechnik wrote:
>
>> On Mon, Jan 15, 2024 at 10:45 PM Hill Strong <[email protected]>
>> wrote:
>> >
>> > No artificial stupidity (AI) will ever or should ever be considered as
>> [a trustworthy co-author in mathematical research]. At best, these systems
>> could be a possibly useful tool in the hands of those who know their
>> subject field. In the hands of everyone else they will be like young
>> children using power tools - a dangerous proposition at best and an utter
>> disaster at worse.
>> >
>> > There is far too much unthinking hype about the subject even by the
>> researchers in the field.
>>
>> Well, we all know Doron Zeilberger's co-author:
>> https://sites.math.rutgers.edu/~zeilberg/ekhad.html
>>
>> In this sense it's not new at all. More powerful, yes, but still...
>>
>> >
>> > On Tue, 16 Jan 2024, 12:10 am Tim Daly, <[email protected]> wrote:
>> >>
>> >> "When integrated with tools such as formal proof verifiers,
>> >> internet search, and symbolic math packages, I expect, say,
>> >> 2026-level AI, when used properly, will be a trustworthy
>> >> co-author in mathematical research, and in many other fields
>> >> as well" -- Terrance Tao
>> >> https://youtu.be/3pb_-oLfWJ4?t=358
>> >>
>> >> I might add that it would be important that the computer algebra
>> >> algorithms be proven correct.
>> >>
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