From: janburse@fastmail.fm   
      
   Hi,   
      
   How to spot a failed coping with AI?   
   Very easy, if somebody starts some gibberish   
   about consciousness you can be sure he is clueless:   
      
   Are AI minds genuine minds?   
   A genuine mind is typically associated with   
   consciousness, self-awareness, intentionality,   
   and the capacity to experience mental states such as emotions.   
   https://events.rice.edu/event/416255-moshe-vardi-world-logic-day-lecture   
      
   What will be Moshe Vardi conclusion nowadays,   
   that self programming is a first form of   
   inner monologue? Well I guess the GPUs have   
      
   termal activity either way, who cares?   
      
   LoL   
      
   Bye   
      
   P.S.: Just observe how clever Alan Turing was:   
   He writes near the beginning of the paper:   
      
   “I propose to consider the question, ‘Can machines   
   think?’ This should begin with definitions of the   
   meaning of the terms ‘machine’ and ‘think.’”   
      
   To avoid endless philosophical debate, he replaces   
   it with the imitation game.   
      
   Key points:   
   - Word usage — Turing does not use the word “consciousness”   
   in the paper as a criterion for the test.   
      
   - Intent — He wanted to sidestep debates about   
   inner experience and focus on observable behavior.   
      
   - Later interpretations — Many later philosophers   
   and AI critics have connected the Turing Test to   
   questions of consciousness, but this is a re-   
   interpretation or extension of Turing’s original proposal.   
      
   So, while the Turing Test is often brought into   
   discussions of machine consciousness, Turing himself   
   did not mention it in that context in his 1950 paper.   
      
   Mild Shock schrieb:   
   > Hi,   
   >   
   > No joke, I have a new CLP heuristic coded,   
   > and made a blind test. Explaind to the AI   
   > what I coded, but not how coded it,   
   >   
   > omitted the crucial scoring function, and   
   > the AI was exactly proposing this scoring   
   > funcion out of the blue.   
   >   
   > I was quite bamboozled. The AI could not tell   
   > me how it recalled or halucinated the formula,   
   > I spent like 1-2 hours trying to find a   
   >   
   > precedent paper. Will blog about it later.   
   > So whats going on . Why can AI suddently   
   > propose Heuristics. Because they are now   
   >   
   > differently trained:   
   >   
   > Phase 1: Early LLMs (~2018–2020)   
   > Phase 2: LLMs with Prompted Reasoning (~2020–2022)   
   > Phase 3: Scaling & Reasoning Engineering (~2023–2025)   
   >   
   > Training an AI to look for heuristics,   
   > can help in self programming. The generative   
   > part of the AI would generate some code,   
   >   
   > which then the AI would use for itself. See also:   
   >   
   > How it started:   
   >   
   > AI for Low-Code for AI   
   > Nikitha Rao, Jason Tsay, Kiran Kate,   
   > Vincent J. Hellendoorn, Martin Hirzel - 2023   
   > https://arxiv.org/abs/2305.20015   
   >   
   > How its going:   
   >   
   > Successor-Generator Planning with LLM-generated Heuristics   
   > Alexander Tuisov1, Yonatan Vernik2,   
   > Alexander Shleyfman - 2024   
   > https://arxiv.org/abs/2501.18784v4   
   >   
   > Bye   
   >   
   > Mild Shock schrieb:   
   >> Hi,   
   >>   
   >> Good Morning Vietnam, the HPC-AI Convergence   
   >> doesn't sleep. Here a friendly reminder of   
   >> the Sudoku leader board (Topn87 Challenge):   
   >>   
   >> #1: jczsolve / Rust WASM   
   >>      Solving 87 Sudokus in 0.006 seconds (0 sec / Sudoku)   
   >>      https://emerentius.github.io/sudoku_web/   
   >>   
   >> #2: Kudoku / JavaScript   
   >>      Solving 87 Sudokus in 0.043 seconds (0.0004 sec / Sudoku)   
   >>      https://attractivechaos.github.io/plb/kudoku.html   
   >>   
   >> #3: Picat / import cp. solve([ff],L)   
   >>      CPU time 0.175 seconds   
   >>      https://picat-lang.org/   
   >>   
   >> #4: Picat / import sat. solve(L)   
   >>      CPU time 0.373 seconds   
   >>      https://fmv.jku.at/kissat/   
   >>   
   >> Tested on Windows 11, with a AMD Ryzen AI 350   
   >>   
   >> Didn't test yet GNU Prolog, ECLiPSe Prolog or   
   >> Ciao Prolog. So whats next? Well beat #1 by   
   >> tapping into an NPU of Copilot+ PC.   
   >>   
   >> Have Fun!   
   >>   
   >> Its Winner Winner Chicken Dinner time again...   
   >>   
   >> Bye   
   >   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)