El alumno más tonto de Spermifex dice que la female intrasexual competition es cuando eres una tía que viajas a otro país y desbloqueas una nueva *gran* demanda de tíos que quieren follarte.
Es verdaderamente terrible lo atroz que está siendo la competición entre féminas, oiga.
Es sencillo: Las mujeres se han cargado el ✨viajar✨.
Antes se viajaba con tiempo y dinero para ver otra cultura, otras formas de vivir, otros paisajes.
Ahora las mujeres han hecho del viajar una atroz female Intrasexual competition, una cruel guerra para clasificarse entre ellas:
-Viajes express de fines de semana para "visitar" un país de 50.000km2.
-Comer en el McDonalds local porque es para lo que nos llega.
-Estar 3 segundos en los 5 sitios inatagrameables del pais, marcar culito para la foto y decir "yo estuve aquí" solo para posicionarse por encima de las hembras rivales y decirle a los hombres "mira lo que valgo" y listo.
Solo sus novios, a los que no les queda otra opción, y los planchabragas desesperados, les siguen el juego.
Por eso nunca verás un grupo de hombres hetero irse de viaje un finde a hacerse la foto graciosa con la torre Inclinada de Pisa, o hacer el canelo en la Torre Eiffel o comerse 4 horas de cola para hacerse la foto de las casitas de Santorini; se alquilan el finde un apartamento con piscina/al lado de la playa y ya está.
Cuando entiendes de mujeres, aprendes que la biology está detrás de todos los fenómenos que nos rodean.
Jupi retweeted
Believing this while building more capable models is insane. Believing it while pushing legislation that would make it even harder for the government to stop you is unconscionable.
In resurfaced footage of Dario Amodei being interviewed, the Anthropic CEO says there will be AIs so powerful that if they want to destroy humanity, “we have basically no ability to stop it.”
“There will be powerful models. They will be agentic. We’re getting towards them.”
“If such a model wanted to wreak havoc and destroy humanity or whatever, I think we have basically no ability to stop it.”
No estaba tan enganchado a una telenovela desde que era un niño viendo Pasión de Gavilanes
🥊 ¡La tensión entre Desokupa y Desokupacyl sube de nivel! Un enfrentamiento verbal que podría acabar sobre un ring.
La polémica entre ambas figuras vinculadas al movimiento contra la ocupación de viviendas vuelve a generar debate en las redes sociales. Según se plantea en el vídeo, Desokupacyl habría lanzado varios insultos contra Desokupa, provocando una respuesta en forma de desafío a un combate cuerpo a cuerpo.
El enfrentamiento ha despertado interés entre quienes siguen a ambos protagonistas. Mientras algunos consideran que aceptar un combate deportivo sería una manera de resolver su rivalidad, otros creen que las diferencias personales deberían solucionarse mediante el diálogo y sin recurrir a provocaciones.
La controversia también plantea una cuestión sobre la imagen pública de quienes se dedican a combatir la ocupación ilegal y la influencia que pueden tener este tipo de enfrentamientos en su credibilidad.
Por el momento, el supuesto reto no debe confundirse con la confirmación de un combate oficial.
💬 ¿A quién apoyarías si finalmente se celebrara el combate: a Desokupa o a Desokupacyl? ¿Quién crees que ganaría?
#Desokupa #Desokupacyl #Polémica #ActualidadEspaña #VerdaPura
Jupi retweeted
> How quickly AI progress is accelerating...
> ... in anticipation of progress continuing to accelerate.
> ... as AI keeps improving quickly.
I dislike this use of the passive voice, as if AI progress was an irrevocable natural phenomenon. No, you are doing this!
I'm Sam, one of Anthropic's co-founders, and I lead much of our safety work. I'm going to have more to share on that work over the coming months.
I thought I'd start by sharing a few thoughts on the latest report from @METR_Evals.
The speed of progress in model capabilities is one of the most important questions in AI safety, and METR’s work here provides the public with an independent, external view into how this is happening inside Anthropic. I’ll talk more about some of the details below, but first some context for those new to this work.
How quickly AI progress is accelerating has many important safety implications, since it determines how quickly the risks from advanced models increase. But, because most research happens within the frontier labs, it’s difficult for external observers and policy makers to get a strong sense of what that rate is. We kicked off the process with METR that led to this report earlier in the year, in anticipation of progress continuing to accelerate.
For this report, we gave METR access to a range of sensitive internal data, including benchmark scores for unreleased models, estimates of how models are progressing, and interviews with our researchers. They had complete independence to form their own conclusions.
Many of their conclusions match my own. AI is speeding up our research, but it’s hard to say exactly how much. While they conclude AI can't yet make the most important contributions to model training on its own, they think the pace of development could, by default, accelerate further.
This work began well before and is separate from the embedded third-party evaluators that are part of our commitment to pacing the frontier, but it’s a good illustration of why we think evaluators are a good idea. The more access reviewers have, the clearer a picture they can form of the situation and the better-positioned they are to highlight situations like this one.
We redacted a lot, and I accept that this makes it harder for others to check METR’s work. But we determined that sharing exactly what is driving the speedup isn’t the right thing to do, both because it’s commercially sensitive and because it risks handing out a roadmap for others to go faster. That would make the risks METR is worried about worse. That’s a tradeoff. I think we made the right call, though we’re continuing to assess the pros and cons here.
In the coming weeks, we plan to share a report with our own analysis of the speed of AI progress within Anthropic, including where we stand against our Responsible Scaling Policy, plus new steps we’re taking to strengthen our safety and security practices as AI keeps improving quickly.
Jupi retweeted
To help flip the switch, go to:
controlai.org/support#email-…
Jupi retweeted
Third-party evaluators with stellar predictive trackrecords are looking at the data and saying it's pretty likely that companies achieve full RSI before the end of 2028 (with full superintelligence to follow shortly thereafter). Unless they're stopped.
What are we waiting for?
This report on AI R&D automation (RSI) is a big update towards ASI within 1-2 years. It says AI progress is sped up by RSI right now by around 2x. In AI 2027, this happens around March 2027.
I was seriously wrong about RSI speed up; I previously expected much less in 2026 (around 1.15x-1.3x). It seems as though there was specific privately available evidence that would have changed my mind.
I haven't seen an unredacted version of this report; this is purely about the public report. Because so much of the underlying evidence was redacted from the public report, I think conclusions about things other than the observed 2x faster rate of progress on benchmarks depend significantly on trust for the authors of the report. (E.g., conclusions about whether this speed up is from RSI depend on trust.) I do trust the authors of the report a lot to be careful and rigorous and generally do a good job. (Note that I also work at METR.) Less extensive redactions would greatly reduce this need for trust.
Since in my current role I may have access to other confidential information that could be relevant to timelines one way or another, I unfortunately cannot state my all-things-considered views on ASI timelines or the probability of a software intelligence explosion right now. Here, I’ve done some analysis of the implications using my previous public statements.
A 2x acceleration in overall AI progress from RSI corresponds to a much larger than 2x RSI speed up for AI software R&D (algorithms and data); I did an estimate using my public preexisting modeling of drivers of AI progress and the public report which yielded a very rough estimate of 4.5x for how much RSI is currently accelerating AI software progress (relative to no AI automation). In the AI 2027 scenario, this much acceleration happens around March 2027.
Here are the worked details of this estimate based on my public modeling. There are two main reasons RSI speed up of AI software R&D must be larger:
- Not all of AI progress is from better software (some is from scaling up compute in training runs). I've previously speculated that around 2/3 of AI progress is from software improvements which implies that 2x overall AI progress acceleration requires 3x faster software progress.
- Diminishing returns: A fixed amount of progress requires more work over time, so to ongoingly maintain 3x faster software progress via AI automation, you need increasingly large speed boosts from AI automation (as in, speed ups relative to how fast software R&D would go without AI automation). Based on this report, it seems that there is a substantial amount of additional AI progress from automation that has occurred.
We can estimate the effects of diminishing returns by first determining how many additional years of software progress we've seen (relative to the preexisting trend) and then estimating how much software R&D would slow down after a year of software progress if you held inputs fixed due to diminishing returns. I've previously estimated software R&D would slow down by around 2x for each year of software progress if you held inputs fixed (lesswrong.com/posts/FG54euEA…) and based on the report, it seems as though we've perhaps seen roughly 0.35-1.0 years of additional software progress incorporated into trained models so far (geometric mean of ~0.6). This combines to 3 * 2^(~0.6) = ~4.5.
(Relevant public modeling and numbers I'm using: lesswrong.com/posts/FG54euEA…, lesswrong.com/posts/Jga7PHMz…)
Jupi retweeted
A esta se la trincó el Jupi y dice que no es para tanto
Sarah Santaolalla: “Hoy algunos sentimos vergüenza con que otros aguanten en el poder. Y otros sacan pecho”. #LaSéptima
Not beating las alegaciones de "Puchivato"
Hola @guardiacivil @policia @fiscal_es
En Instagram se llama Mario López del monte y sube vídeos diciendo “Gora ETA”, hablando de armas y “lucha antifascista”, con un cartel de ETA en la pared.
"Voy a superar mi ansiedad social dándole perras a este tobogán de piojos con media farmacia encima"
"Sí, a mí que eso pueda ser falso me la suda, yo QUIERO CREER que es verdad porque de no ser así estoy a merced de los caprichos crueles del azar y de la extinción de mi conciencia y la de mis seres queridos al fallecer"
