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I “jailbroke” a Google Nest Mini so that you can run your own LLM’s, agents and voice models. Here’s a demo using it to manage all my messages (with help from Beeper) 🔊 on, and wait for surprise guest! I thought hard about how to best tackle this and why, see 🧵

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2.

A big step toward singularity.

Good explanation of what makes countries more or less prosperous

StackOverflow is a dinosaur that's going extinct. I mostly use Copilot, ChatGPT, and Perplexity. I haven't found a single reason to visit StackOverflow anymore. StackOverflow can't compete, and I don't see how they can stay relevant any longer. I use Copilot for inline

Claramente este es el camino de los LLMs. Para mantener la data privada, necesitamos correr modelos en un device o red privada. Podríamos usar un NAS como repositorio central de información, con una interfaz para consultas a un LLM, garantizando la privacidad de los datos.

Shanghai 🇨🇳 AI Lab Achieved 1st Version of Karpathy's AI Operating System > Nov 2023: Andrej Karpathy proposes LLM OS > Feb 2024: Chinese (+ Princeton) team proposes self learning operating system What did they do? > Built an agent using a mix of Python code and GPT-4 language model

This workflow is really fun! 🤩 Create any 3D object you can imagine in Apple Vision Pro, FAST! Midjourney (or other image gen) -> TripoSR (modded) - Free USDZ Converter More info in the thread ⬇️🥽🤯

When I say I want a simple life, I mean living in a 300,000 sq ft remodeled concrete factory outside Barcelona

Reading a tweet is a bit like downloading an (attacker-controlled) executable that you instantly run on your brain. Each one elicits emotions, suggests knowledge, nudges world-view. In the future it might feel surprising that we allowed direct, untrusted information to brain.

GPT-3.5 out-of-the-box pricing: • Input: $0.50 / 1M tokens • Output: $1.50 / 1M tokens Fine-tune the same model, and everything changes: • Input: $3 / 1M tokens • Output: $6 / 1M tokens • Training: $8 / 1M tokens 99% of use cases need RAG, not fine-tuning.

Imagine in a few years when these scenes are as common as a #SpaceX Falcon 9 launch. I don't think most people really understand what is happening here.

Impresionante! Ya tengo un side project para el fin de semana.

Steve Jobs sent himself this email in 2010.

Software designers of tomorrow should study games like Tiny Glade as they look and behave more like where software will end up: 3D/spatial, adaptive, contextual, high-level abstractions, pleasing

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Wow, they really don’t get it. Mars is critical to the long-term survival of consciousness. Also, I’m not going to ask any venture capitalists for money. I realize that it makes no sense as an investment. That’s why I’m gathering resources.