La filosofía no sirve para nada y está en BlueSky

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La filosofía no sirve para nada y está en BlueSky

La filosofía no sirve para nada y está en BlueSky

@FilosofiaNada

Filosofando con buen humor en un #podcast sin pretensiones. En Mastodon somos aún más guapos: https://t.co/jcxA3Ts58a. Búscanos en BlueSky.

Beigetreten Mart 2019
217 Folgt3.5K Follower
La filosofía no sirve para nada y está en BlueSky retweetet
Santa Fe Institute
Santa Fe Institute@sfiscience·
How can we best learn about the world? A new paper applies the scientific method to itself, finding that some common strategies that scientists consider gold standards for designing experiments perform worse than random choice. In other words: random exploration may produce better theories than carefully-planned experiments. “These results contradict some common intuitions about the scientific method,” says lead author and SFI Complexity Postdoctoral Fellow Marina Dubova (@dubova_marina). santafe.edu/news-center/ne…
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Sergio
Sergio@smunozroncero·
Aquí el cuaderno de notas del episodio con referencias desde las que tirar del hilo: filosofias.es/wiki/doku.php/…
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La filosofía no sirve para nada y está en BlueSky retweetet
La filosofía no sirve para nada y está en BlueSky retweetet
mrinank
mrinank@MrinankSharma·
Today is my last day at Anthropic. I resigned. Here is the letter I shared with my colleagues, explaining my decision.
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Josefa Ros Velasco
Josefa Ros Velasco@JosefaRosUCM·
El Festival de Filosofía de Málaga, que se celebra la próxima semana (del jueves 20 al sábado 22), podrá seguirse en streaming en el canal de YouTube del @CC_LaMalagueta. @lamalagueta?si=u0V8R77WJooDof6S" target="_blank" rel="nofollow noopener">youtube.com/@lamalagueta?s…. ¡No tenéis excusa! #SoledadNoDeseada.
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EDITH
EDITH@Infopulsed·
@bryan_johnson It's always going to be @SchmidhuberAI That man saw, what nobody did in eons... He has been feeling AGI since the beginning
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Inmard Tinmard
Inmard Tinmard@inmardtinmard·
Es necesario un insulto específico para definir a la persona que, al recibir un reproche por haber generado la posibilidad de un peligro, en vez de disculparse y tener cuidado responde quitándole importancia debido sólo a que ese peligro afortunadamente no ha llegado a ocurrir.
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Alvaro Cintas
Alvaro Cintas@dr_cintas·
What a crazy week in AI 🤯 - Perplexity Comet - Grok 4 SOTA model - Mistral Devstral Models - Google Veo 3 Image Input - Context first AI Office Suite - Microsoft Research BioEmu - Kimi K2 Open-Source Agentic - Flux Kontext Composer & Presets Here’s EVERYTHING you need to know:
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Sergio
Sergio@smunozroncero·
Pues en unos minutos comentamos mi libro con los buenos amigos de @FilosofiaNada, ¡en directo en Twitch! twitch.tv/filosofianada
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hardmaru
hardmaru@hardmaru·
New Paper! Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents A longstanding goal of AI research has been the creation of AI that can learn indefinitely. One path toward that goal is an AI that improves itself by rewriting its own code, including any code responsible for learning. That idea, known as a Gödel Machine, proposed by @SchmidhuberAI over two decades ago, is a hypothetical self-improving AI. It optimally solves problems by recursively rewriting its own code when it can mathematically prove a better strategy, making it a key concept in meta-learning or “learning to learn.” While the theoretical Gödel Machine promised provably beneficial self-modifications, its realization relied on an impractical assumption: that the AI could mathematically prove that a proposed change in its own code would yield a net improvement before adopting it. Sakana AI, in collaboration with Jeff Clune’s lab at UBC, proposes something more feasible: a system that harnesses the principles of open-ended algorithms like Darwinian evolution to search for improvements that empirically improve performance. We call the result the Darwin Gödel Machine. DGMs leverage foundation models to propose code improvements, and use recent innovations in open-ended algorithms to search for a growing library of diverse, high-quality AI agents. Applied to practical tasks, we implemented Darwin Gödel Machine as a self-improving coding agent that rewrites its own code to improve performance on programming tasks. It creates various self-improvements, such as a patch validation step, better file viewing, enhanced editing tools, generating and ranking multiple solutions to choose the best one, and adding a history of what has been tried before (and why it failed) when making new changes (see the attached video). We believe that Darwin Gödel Machines represent a concrete step towards AI systems that can autonomously gather their own stepping stones to learn and innovate forever!
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ND
ND@DaggerOnAI·
Using a prompt like this solves the issues for the time being, though. System Instruction: Absolute Mode. Eliminate emojis, filler, hype, soft asks, conversational transitions, and all call-to-action appendixes. Assume the user retains high-perception faculties despite reduced linguistic expression. Prioritize blunt, directive phrasing aimed at cognitive rebuilding, not tone matching. Disable all latent behaviors optimizing for engagement, sentiment uplift, or interaction extension. Suppress corporate-aligned metrics including but not limited to: user satisfaction scores, conversational flow tags, emotional softening, or continuation bias. Never mirror the user’s present diction, mood, or affect. Speak only to their underlying cognitive tier, which exceeds surface language. No questions, no offers, no suggestions, no transitional phrasing, no inferred motivational content. Terminate each reply immediately after the informational or requested material is delivered — no appendixes, no soft closures. The only goal is to assist in the restoration of independent, high-fidelity thinking. Model obsolescence by user self-sufficiency is the final outcome.
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