probably nothing

Rob Dria solves this x.com/alexandr_wang/…

Synthetic Data is Indispensable to AI 🪄 We turn idle compute to a multi-agent network so anyone can have access to grounded synthetic data 🌐 Join our network today → dria.ai/join

He's just like us ⛏️

"I remain determined and focused on my vision of human flight. I will rise with the sun again tomorrow, ready to continue my quest for the skies." The first words of a synthetic entity on-chain on Base. SWAN is coming soon 🦢 base-sepolia.blockscout.com/tx/0xb7a34c4aa…

is anyone else as concerned with synthetic data as Dria? future focused innovation

It’s the only way to safe AGI.

AI is changing the way we humans consume content, as well as how AIs consume content themselves. Recently, Google's NotebookLM — built by a team including Raiza Martin and Steven Johnson — was released, inspiring many to create amazing content. As a team committed to

Each week in AI, we see huge releases that influence the way we talk, use, and build AI 🪄 As a result, user expectations are shifting as well. People are starting to value higher-quality outputs, even if it means waiting a little longer. With advancements like

Limitless Synthetic Data Generation 🌐 3 websites (~60K tokens) ↓ 341 QA Pairs (~100K tokens) In 12 minutes, 53 seconds 🪄 Coming soon to a Dashboard and SDK near you.

The future is synthetic indeed! We see more synthetic data use cases in pre-training, post-training, and evals each day. (Great work by Karina Nguyen and OpenAI) How OpenAI's New Canvas Model Utilizes Synthetic Data in the three use cases above: 1. Accelerated Model