La filosofía no sirve para nada y está en BlueSky

Filosofando con buen humor en un #podcast sin pretensiones.

En Mastodon somos aún más guapos:
Búscanos en BlueSky.

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

¡Nuevo episodio! IA, ética y gobernanza en la era de los algoritmos.
¿Qué está pasando de verdad en el mundo de la IA? Charlamos con Noemí Álvarez sobre su experiencia en el AI Action Summit de París.
https://t.co/e8VJfXWBGQ
#IA #ética #gobernanza #Filosofía #Podcast

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

@jatorrero @smunozroncero "Philosophy" y "Computer Science" están empatados. Just saying.

[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).

https://t.co/N6JZzWKMcb

[Sergio @smunozroncero]

Aquí el cuaderno de notas del episodio con referencias desde las que tirar del hilo:

https://t.co/9luZV4GJiI

[Sergio @smunozroncero]

En plena pandemia estuvimos charlando acerca de esta propuesta en @FilosofiaNada y lo muy aprovechable que es todo lo que cuenta Yuriko Saito.
https://t.co/pb80Jeb6Yp

[mrinank @MrinankSharma]

Today is my last day at Anthropic. I resigned.

Here is the letter I shared with my colleagues, explaining my decision.

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

Felices fiestas aunque sigan en X

[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. https://t.co/tMcH4akY18. ¡No tenéis excusa! #SoledadNoDeseada.

[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

[Daily Nous / Justin Weinberg @DailyNousEditor]

Philosopher John Searle has died. https://t.co/4oQz8C8HeN

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

@inmardtinmard ¿Imprudentonto?

[Juan Antonio Torrero @jatorrero]

Sólo el planteamiento me parece interesantísimo ...

[Isabel F. Peñuelas @ifpenuelas]

Para que luego digan que @FilosofiaNada . En la diana, y sino Dostoievski y o el Marqués de Sade

[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:

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

Cuaderno de notas del episodio 67
https://t.co/DTcdvUl2z2

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

¡Nuevo episodio de La filosofía no sirve para nada! Episodio 67. Ciencia Ficción: Narrativa y Filosofía
https://t.co/6dQ3aupJrZ

[Sergio @smunozroncero]

Pues en unos minutos comentamos mi libro con los buenos amigos de @FilosofiaNada, ¡en directo en Twitch!

https://t.co/z8VUPCzpJg

[La filosofía no sirve para nada y está en BlueSky @FilosofiaNada]

Dentro de nada, grabamos nuevo capítulo. Hoy tenemos a un invitado con el que charlaremos sobre su nuevo libro.
😉😉😉
Ven a https://t.co/sTpMZe7OYL

[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!

[ND @Neil_Dagger]

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.