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@heiseonline@social.heise.de
2026-07-14 16:47:03

Oak Lab: Turing-Preisträger Sutton gründet Startup für lernende KI
Richard Sutton gründet „Oak Lab“. Das Startup will KI-Agenten bauen, die im laufenden Betrieb lernen – statt nach dem Training statisch zu bleiben.

@lapizistik@social.tchncs.de
2026-07-15 09:23:02

Applying the Turing test to the current “chatbot” generative AI does not show that AI is “intelligent”¹ but that humans are very bad in playing the imitation game as judges³.
__
¹In the original paper “ I.—Computing machinery and intelligence”² Turing explicitly states that there is no useful definition for the meaning of the question ‘can machines think?’ and replaces it with: ‘can computers play the imitation game?’
²

@servelan@newsie.social
2026-06-09 05:40:12

AI models have passed the Turing test | The Week
theweek.com/tech/ai-llms-pass-

@ocrampal@mastodon.social
2026-05-09 08:32:59

Is AI becoming more human, or are we discovering just how much of our "intelligence" is actually uncritical automated thought?
ocrampal.com/the-inverted-turi

@fanf@mendeddrum.org
2026-07-11 08:42:04

from my link log —
Unicode's transliteration rules are Turing complete.
seriot.ch/computation/uts35/
saved 2026-07-08 dotat.at/…

@thomasfuchs@hachyderm.io
2026-06-07 00:47:41

RE: hachyderm.io/@thomasfuchs/1167
“Corollary 1 (AoE II is Turing-Complete). Let I be an instance of AoE II with two players p0,p1. Assume p0 has two markets, a town centre, a trade cart, six villagers, and five farms; while p1 has a scout unit and only attacks p0’s buildings. Then if I has no time or size limits and the terrain allows for buildings everywhere, the game session in I is Turing-complete.”

@goebelmasse@det.social
2026-07-14 10:32:52

Wir sollten damit anfangen, den Turing-Test als einen ELIZA-Test zu bezeichnen, denn das recht kleine Lisp-Programm ELIZA war wohl das erste, was Menschen davon überzeugte, ein richtiges Gegenüber zu sein.

Screenshot des Editors Emacs, in einem Buffer läuft ELIZA: 

I am the psychotherapist.  Please, describe your problems.  Each time
you are finished talking, type RET twice.

I fear artificial intelligence. 

Why do you say you are afraid of something?

Because it is dumb and everywhere.

Is it because it is dumb and everywhere that you came to me?
@aka_pugs@mastodon.social
2026-05-28 15:22:37

OTD 1936: Turing submits his paper “On Computable Numbers, with an Application to the Entscheidungsproblem.”
90 years of Turing machines!

@thomasfuchs@hachyderm.io
2026-06-11 15:58:31

It’s astounding how the Turing Test* is still something that’s taken seriously.
Modern LLMs get wrongly rated as humans with much higher rates than actual humans get rated as humans.
The test quite literally tests for gullibility and hubris—in humans.
*simplified: a human is randomly assigned an other human or a chatbot and has 5 minutes of text chat to determine if they’re chatting with a human or a machine

@fanf@mendeddrum.org
2026-05-03 08:42:02

from my link log —
C99 doesn't need function bodies: VLAs are Turing complete.
lemon.rip/w/c99-vla-tricks/
saved 2022-08-04 dota…

@wrog@mastodon.murkworks.net
2026-05-28 21:16:56

(I've said various versions of this before, but maybe this makes the point clearer:)
The Turing Test is **NOT** a benchmark.
It's a **warning**.
i.e., Turing *knew* that trying to define "intelligence" was, at best, way more difficult than people gave it credit for, likely completely futile. His proposed "test" is, "If you can be fooled into thinking there's something intelligent there, then there is (or at least there might as well b…

@goebelmasse@det.social
2026-07-14 10:32:52

Wir sollten damit anfangen, den Turing-Test als einen ELIZA-Test zu bezeichnen, denn das recht kleine Lisp-Programm ELIZA war wohl das erste, was Menschen davon überzeugte, ein richtiges Gegenüber zu sein.

@johl@mastodon.xyz
2026-06-30 03:45:15

“Machines take me by surprise with great frequency.” – Alan Turing, Computing Machinery and Intelligence (1950)

@bencurthoys@mastodon.social
2026-04-29 19:16:40

Turing Test 2.0 - Existential Comics existentialcomics.com/comic/652

Comic from the above link
@fanf@mendeddrum.org
2026-06-29 20:42:02

from my link log —
ARM LDM and STM are Turing complete.
kellanclark.github.io/2023/09/
saved 2023-09-27

@fanf@mendeddrum.org
2026-05-24 14:42:04

from my link log —
Jira is Turing complete.
seriot.ch/computation/jira.html
saved 2026-05-23 dotat.at/:/1CFDO.html

@arXiv_physicscompph_bot@mastoxiv.page
2026-07-02 07:53:53

LSR-Net: Long-Short-Range Operator Learning for Pattern Dynamics on Manifolds
Qian Serena Hou, Zecheng Gan
arxiv.org/abs/2607.00750 arxiv.org/pdf/2607.00750 arxiv.org/html/2607.00750
arXiv:2607.00750v1 Announce Type: new
Abstract: We propose the Long-Short-Range Neural Network (LSR-Net), an extensible operator-learning framework for predicting pattern dynamics on planar domains, spherical surfaces, and general manifolds. The method decomposes the forward evolution operator into a long-range component, represented by a compact Fourier multiplier constructed via the Sum-of-Exponentials (SOE) approximation, and a short-range component adapted to the underlying geometry and its intrinsic symmetries. For general manifolds represented by irregularly sampled point clouds, the long-range component is implemented by Gaussian gridding onto an auxiliary regular grid, where the Fourier multiplier is efficiently applied in k-space using FFT and the result is interpolated back to the original sample points. We evaluate LSR-Net on several benchmark systems, including the Allen-Cahn, Cahn-Hilliard, Schnakenberg, and Turing systems, over planar domains, spherical surfaces, and a blob-shaped manifold. Numerical results demonstrate that LSR-Net consistently achieves higher accuracy and improved stability compared with baseline operator-learning models. In particular, for Allen-Cahn dynamics on the sphere, the RMSE is reduced by approximately three orders of magnitude compared with the Spherical Fourier Neural Operator (SFNO). Rotation and reflection equivariance tests further confirm that the learned operator is consistent with these geometric transformations. These results indicate that LSR-Net provides an effective and robust approach for learning pattern dynamics on complex geometries.
toXiv_bot_toot

@fanf@mendeddrum.org
2026-05-01 08:42:03

from my link log —
RP2040 DMA is Turing complete.
people.ece.cornell.edu/land/co
saved 2023-01-21

@teledyn@mstdn.ca
2026-07-08 19:01:39

AI-generated 'actress' making feature film debut in 'Misaligned'
I wonder if Tilly knows how to make a pipe bomb¹
youtube.com/watch?v=R3UsDH0TVR
¹ the new Turing Test "are you an AI" question