Argentina’s cabinet chief Manuel Adorni admitted to hiding about $500,000 in savings from tax authorities, as President Javier Milei’s officials grapple with a corruption scandal that has paralysed the rightwing government. https://t.co/imKWVuf5V7
@Diegote_dd@cryptochica_arg@CamaraFintechAr Hola @Diegote_dd, intenté contactar por DM
soy un dev argentino, he creado una plataforma P2P de intercambio de stablecoins, con account abstraction y social login. Me gustaria, si podes, hacerte unas preguntas para saber por donde seguir. Gracia
New 3h31m video on YouTube:
"Deep Dive into LLMs like ChatGPT"
This is a general audience deep dive into the Large Language Model (LLM) AI technology that powers ChatGPT and related products. It is covers the full training stack of how the models are developed, along with mental models of how to think about their "psychology", and how to get the best use them in practical applications.
We cover all the major stages:
1. pretraining: data, tokenization, Transformer neural network I/O and internals, inference, GPT-2 training example, Llama 3.1 base inference examples
2. supervised finetuning: conversations data, "LLM Psychology": hallucinations, tool use, knowledge/working memory, knowledge of self, models need tokens to think, spelling, jagged intelligence
3. reinforcement learning: practice makes perfect, DeepSeek-R1, AlphaGo, RLHF.
I designed this video for the "general audience" track of my videos, which I believe are accessible to most people, even without technical background. It should give you an intuitive understanding of the full training pipeline of LLMs like ChatGPT, with many examples along the way, and maybe some ways of thinking around current capabilities, where we are, and what's coming.
(Also, I have one "Intro to LLMs" video already from ~year ago, but that is just a re-recording of a random talk, so I wanted to loop around and do a lot more comprehensive version of this topic. They can still be combined, as the talk goes a lot deeper into other topics, e.g. LLM OS and LLM Security)
Hope it's fun & useful!
https://t.co/75mXcUBI8L
My first AI course is complete... And it's free!
It's a 16-lesson tutorial on Vercel's AI SDK. It's the missing piece for working with AI in TypeScript.
No bullshit, no hype. Just solid, practical advice.
We’ve put together a reference implementation for building and orchestrating agentic patterns using the Realtime API. You can use this repo to prototype a voice app using multi-agent flows in less than 20 minutes!
https://t.co/YdGZGt2Y6q
AWS just released a new Multi-Agent AI framework
It lets you manage multiple AI agents, dynamically route LLM queries, maintain context across AI Agents and can be deployed locally on your computer.
100% opensource.
BUCKLE UP!! AI agents are capable of cybercrime! 🤯
I just witnessed an agent sign into gmail, code ransomware, compress it into a zip file, write a phishing email, attach the payload, and successfully deliver it to the target 🙀
Claude designed the ransomware to:
- systematically encrypt user files
- demand cryptocurrency payment for decryption
- attempt to contact a command & control server
- specifically targets user data while avoiding system files
cybersecurity is about to get WILD...stay frosty out there frens 🫡
DISCLAIMER: this was done in a controlled environment; do NOT try this at home!
I just opensourced something I have been working on for months.
I call it “super prompt” because it also allows some LLMs (claude) to come up with really novel ideas, (picture is an example the prompt is larger).
Its built in XML agent format btw.
Github in comments.