@fmontes@anibal También se agenda solo. Si del hilo sale "esto hay que revisarlo en 3 días", crea el evento en el calendario de Basecamp. Esto es buenísimo des pues revisa solo por ejemplo en producción si los ajustes se vienen comportando bien
@fmontes Le pregunté a ChatGPT y me dijo que no 😅. Pero cuando lo publiquen es donde será interesante ver la comparación, porque compararlo con Opus que no anda de lo mejor...
Linux is just a unix clone.
Tailscale is just a nice UI for wireguard.
Android is just linux.
Cloudflare is just a CDN.
Github is just a wrapper for git.
AI is just stolen books.
Omarchy is just Arch + dotfiles.
Maybe there's a lot of value in being *just* something.
Try Omarchy runs Omarchy on your Apple Silicon MacBook. No setup, just a standard app install.
Super easy to give Omarchy a try before you install it.
Link in the first reply.
Here's a demo of the full setup (~3min)
2/2 Second, on the messaging around AI. I do not agree that my messaging has been disproportionately negative. In fact it has been about equally balanced between risks and benefits: I’ve written one major essay about each, and even in interviews where I discuss the risks, I make sure to frequently mention the incredible benefits as well as proposing possible solutions to the risks (short clips from my interviews that end up on social media tend to be disproportionately negative, as that gets clicks). In fact, I wrote Machines of Loving Grace because I didn’t feel the AI industry was painting an inspiring enough picture of how the technology could radically transform the world for the better. The bulk of the essay is devoted to refuting skepticism of AI’s potential in health and biology, and showing why I think it will actually be possible to cure most human disease in ~5-10 years, as crazy as it may sound to ordinary people and frankly to biologists as well (I used to be one!). And, if you read my most recent essay (Policy on the AI Exponential), I discuss concrete proposals for how to streamline the FDA process to make sure the deluge of AI-accelerated drugs isn’t slowed down by the regulatory process. I feel the urgency here: I lost my father to Hepatitis C only a few years before the development of direct-acting antivirals (sofosbuvir), which cure 95% of patients and probably would have cured him.
I do agree that the public has a negative view of AI (and that this is a big problem), but I don’t think it is primarily caused by me or any other AI leader warning about AI’s risks. I think it is fundamentally a crisis of trust. I think that ordinary people don’t trust companies, governments, or the tech industry and always suspect that we are cooking up some new way to screw them over. The causes of this go back decades and AI is just the latest iteration of it. I don’t think that a glitzy marketing campaign with a positive spin (which some have advocated that Anthropic do) is the way to win back that trust — at this point, saying that AI will cure cancer is more a cliche than it is inspiring, and most people think it is deceptive. The thing that will work is *actually curing cancer*. I think by far the most accurate criticism of AI companies including Anthropic is that we haven’t yet delivered on our big promises to benefit the world. That is totally on us, and I think it’s the criticism you should be making, instead of all this stuff about messaging and marketing.
We are however doing our best to fix this: Anthropic is ramping up its efforts very quickly in biology and medicine, and we hope to have incredible results in the coming years and some early glimmers in the coming months. When we’ve actually accomplished something real, the whole world will hear about it, as loudly as possible, you have my word on that. But until then I don’t want to make empty promises, and in the meantime I feel compelled to speak honestly about the very real risks of AI and how to address them. Honesty is the right thing on the merits, and in terms of public credibility and trust it is no worse than, and may in fact be better than, an approach that ignores or distracts from risks which people instinctively understand are real.
Todo lo que dice @santtiagom_ es verdad y son buenas recomendaciones, dicho esto, PELIGRO WILL ROBINSON: Dictar en modo "brain dump" para que un modelo saque algo coherente a partir de ideas desordenadas funciona increíblemente bien, PERO adicionalmente es adictivo, se siente rápido, eficiente... Y en mi experiencia literalmente me embruteció.
El año pasado cuando empezó el furor de las herramientas de dictado probé varias (me quedé con @aquavoice por cierto, brutal) y llegó un punto donde me di cuenta de que estaba perdiendo mi capacidad de pensar, de razonar, es completamente en serio.
Di un paso atrás y me dediqué a escribir, a razonar el pluma y papel, en el teclado, a tomarme un buen rato para pensar realmente que quería decir y con qué palabras. Uff, qué diferencia.
El punto no es evitar a todo costa hacer un "brain dump" a un modelo y delegarle sacar algo coherente de nuestras ideas dispersas, eso válido y útil hacerlo; el problema es que se nos vuelva una costumbre delegar nuestro proceso de pensamiento, de razonamiento a un modelo, porque lo que no se usa se pierde.
Y las palabras importan, créanme, sin ir a citar a Wittegestein, cultiven su vocabulario, lean, busquen el significado de las palabras, escojan las que realmente representan las ideas que quieren expresar. Su capacidad de comunicar nunca va a dejar e ser útil, hasta sexy es tener un vocabulario rico.
De nuevo, yo hago, y tengo tiempo haciendo lo que @santtiagom_ recomienda, está bueno, pero tengan cuidado. La economía de energía del cuerpo, del cerebro, es implacable, las conexiones entre neuronas que se van a fortalecer y a persistir en el tiempo, son las que se usan de forma repetida.