📚 2022: Este año reseñaré contando la trama con emojis y compartiendo alguna de mis citas favoritas. La meta de este año en @goodreads es de 35 libros. Si quieren alguno, déjenme un DM :) #libros
Mi parte favorita de la semana es ir al estudio de cerámica. Gran lugar para los introvertidos: ves caritas conocidas, pero no tienes que hablar. Solo te sientas frente a un bulto de barro, te pones audífonos y pasas las siguientes tres horas descubriendo en qué se convierte.
Vacaciones pedidas. Estoy mentalmente lista para pagar todas mis suscripciones y hacer todo el vibe coding posible desde la playita con mis piñas coladas.
Ahora que nadie usa esta aplicación y que todos han migrado a Threads, será que es momento de volver a usarla como diario personal; como en los viejos tiempos? 🤔
@Zireael0@johnrushx I agree. AI's progress is undeniable, but it still can't quite grasp the fine points of language, particularly when it comes to adapting content. When you're dealing with anything beyond straightforward translation (transcreation or something more creative) it falls short.
Pasé 5 horas escuchando al CEO de Anthropic y, entre todas las personas que están revolucionando la AI, este hombre se me hace el más wholesome y cuerdo. Quiero que sea mi amigo 🫶🏽.
Here's my conversation with @DarioAmodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity.
It's a 5+ hour conversation in total. @AmandaAskell and Chris Olah (@ch402) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively.
This was a fascinating, wide-ranging, super-technical, and fun conversation!
First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment.
Timestamps:
0:00 - Introduction
3:14 - Scaling laws
12:20 - Limits of LLM scaling
20:45 - Competition with OpenAI, Google, xAI, Meta
26:08 - Claude
29:44 - Opus 3.5
34:30 - Sonnet 3.5
37:50 - Claude 4.0
42:02 - Criticism of Claude
54:49 - AI Safety Levels
1:05:37 - ASL-3 and ASL-4
1:09:40 - Computer use
1:19:35 - Government regulation of AI
1:38:24 - Hiring a great team
1:47:14 - Post-training
1:52:39 - Constitutional AI
1:58:05 - Machines of Loving Grace
2:17:11 - AGI timeline
2:29:46 - Programming
2:36:46 - Meaning of life
2:42:53 - Amanda Askell - Philosophy
2:45:21 - Programming advice for non-technical people
2:49:09 - Talking to Claude
3:05:41 - Prompt engineering
3:14:15 - Post-training
3:18:54 - Constitutional AI
3:23:48 - System prompts
3:29:54 - Is Claude getting dumber?
3:41:56 - Character training
3:42:56 - Nature of truth
3:47:32 - Optimal rate of failure
3:54:43 - AI consciousness
4:09:14 - AGI
4:17:52 - Chris Olah - Mechanistic Interpretability
4:22:44 - Features, Circuits, Universality
4:40:17 - Superposition
4:51:16 - Monosemanticity
4:58:08 - Scaling Monosemanticity
5:06:56 - Macroscopic behavior of neural networks
5:11:50 - Beauty of neural networks