/sci/ - Science & Math

>>15799069
2025

>>15799069
2024

>>15799069
2023

Enough for what?

>>15799143
>he doesn't realize the AI took over in 1997
ngmi

>>15799069
>>15799114
Yeah 2025 seems to be one of those years. You know something big is going to happen, something science and tech related.

>>15799069
AI is already smarter than humans in many narrow tasks. It isn't a matter of 'if'
or 'when' AI will be smarter than humans... It's a matter of; when will a single AI be smarter than humans at enough tasks for us to accept it?

>>15799294
I always associate intelligence with consciousness. That's why I have a problem with the use of artificial intelligence for all this when it's just a simple program that does what it's told to do, it doesn't learn anything on its own.

>>15799297
>t. 2020 kun.

2025

>RH no
>one page

Fractional Distance: The Topology of the Real Number Line with Applications to the Riemann Hypothesis
>https://vixra.org/abs/2111.0072
>http://gg762.net/d0cs/papers/Fractional_Distance_v8-20230808.pdf
Recent analysis has uncovered a broad swath of rarely considered real numbers called real numbers in the neighborhood of infinity. Here we extend the catalog of the rudimentary analytical properties of all real numbers by defining a set of fractional distance functions on the real number line and studying their behavior. The main results of are (1) to prove with modest axioms that some real numbers are greater than any natural number, (2) to develop a technique for taking a limit at infinity via the ordinary Cauchy definition reliant on the classical epsilon-delta formalism, and (3) to demonstrate an infinite number of non-trivial zeros of the Riemann zeta function in the neighborhood of infinity. We define numbers in the neighborhood of infinity as Cartesian products of Cauchy equivalence classes of rationals. We axiomatize the arithmetic of such numbers, prove all the operations are well-defined, and then make comparisons to the similar axioms of a complete ordered field. After developing the many underlying foundations, we present a basis for a topology.

I doubt it
T. Rational skeptic

>>15800386

>>15800388
>>15800388


Sixty-Six Theses: Next Steps and the Way Forward in the Modified Cosmological Model
>https://vixra.org/abs/2206.0152
>http://gg762.net/d0cs/papers/Sixty-Six_Theses__v4-20230726.pdf
The purpose is to review and lay out a plan for future inquiry pertaining to the modified cosmological model (MCM) and its overarching research program. The material is modularized as a catalog of open questions that seem likely to support productive research work. The main focus is quantum theory but the material spans a breadth of physics and mathematics. Cosmology is heavily weighted and some Millennium Prize problems are included. A comprehensive introduction contains a survey of falsifiable MCM predictions and associated experimental results. Listed problems include original ideas deserving further study as well as investigations of others' work when it may be germane. A longstanding and important conceptual hurdle in the approach to MCM quantum gravity is resolved. A new elliptic curve application is presented. With several exceptions, the presentation is high-level and qualitative. Formal analyses are mostly relegated to the future work which is the topic of this book. Sufficient technical context is given that third parties might independently undertake the suggested work units.

>>15799069
doesn't artificial intelligence just learn on what ever it is fed? they are on par with humans already. in theory, any being is just a.i. , to differing levels of intelligence.
>>15799297
erm, post latest tax return and penis.

>>15799291
indeed, gonna be a big year

>>15799144
For doing math that humans can't

>>15799069
never

>>15800708
when lots of neural networks

>>15800418
And it keeps getting better despite being fed the same shit. True it "learns" as a well worn shoe might be said to have "learned" the shape of its wearer's foot. The nomenclature is misleading to laypeople, but "learn" here is better thought of in the manner that it could be said humanity "learned" to talk over the course of our evolution. We use an arbitrary optimisation method that leverages information about a domain to shape a cognitive topology that gives rise to intelligence in it, just as our own neural architecture was shaped by genetic optimisation

>>15799069
in about a year
https://www.scmp.com/news/china/science/article/3237614/chinese-scientists-unlock-potentials-memristor-semiconductor-building-block

>>15800887
faster