[ExI] Claude for president?

[Adrian Tymes]

On Sun, Mar 15, 2026 at 4:34 PM Jason Resch via extropy-chat
<extropy-chat at lists.extropy.org> wrote:
> On Sun, Mar 15, 2026, 3:59 PM Adrian Tymes via extropy-chat <extropy-chat at lists.extropy.org> wrote:
>>
>> On Sun, Mar 15, 2026 at 3:40 PM Jason Resch via extropy-chat
>> <extropy-chat at lists.extropy.org> wrote:
>> > On Sun, Mar 15, 2026, 3:15 PM Adrian Tymes via extropy-chat <extropy-chat at lists.extropy.org> wrote:
>> >>
>> >> On Sun, Mar 15, 2026 at 2:38 PM Jason Resch via extropy-chat
>> >> <extropy-chat at lists.extropy.org> wrote:
>> >> > On Sun, Mar 15, 2026, 12:49 PM Adrian Tymes via extropy-chat <extropy-chat at lists.extropy.org> wrote:
>> >> >> LLMs are complex enough that, even with the controls as you say, it
>> >> >> seems likely that two people - or even the same person - running the
>> >> >> exact same non-trivial query two times would often enough get
>> >> >> non-identical answers.
>> >> >
>> >> > It seems that way, but LLMs are themselves fully deterministic. So long as the exact same input and context are provided, their output is the same. In practice, however, the tokens a LLM deterministically predicts as most likely are then randomly selected by a higher level process to make the writing more dynamic. This is driven by the "heat" parameter. But by using a pseudorandom selection with the same seed, identical output can be ensured.
>> >>
>> >> This is true in the sense that the universe may be fully
>> >> deterministic: technically true (possibly) but unreproducible in
>> >> practice (given the complexity and number of inputs of a LLM worth
>> >> advising the President of the United States) due to the very high
>> >> number of variables.
>> >
>> > You needn't invoke the determinism of the universe here. The context window is the input. The output is the input followed by a series of matrix multiplications. Each multiplication is deterministic. The result is defined entirely by the input and the series of multiplications.
>> >
>> > It may be a complex calculation involving a large variable, but nevertheless it is a fully deterministic and repeatable one.
>>
>> If you had the exact same inputs, the exact same trainings, the exact
>> same contexts, et cetera.
>>
>> Which you won't, in practice.  Not for anything this complex.
>
> Why not? There are plenty of LLM models anyone can download and run themselves.

They are simpler models.  The President would not be using those.