1- Synthetic data will help AI go the last mile. A substantial portion of the data required to train large models for the ultimate user experience and customization is not in the public domain. Businesses need to find safe methods to experiment with various foundation models

How to prevent the next pandemic virus: Scientists have a new strategy n.pr/3S6ybpn via NPR

Making synthetic data easier to generate and more accessible than ever!

The plant protein that could push meat off your plate wapo.st/3r6wG19

Came across Sequoia Capital's latest #generativeai white paper- really neat to see @gretel spotlighted in the realm of synthetic data. Also in pretty good company with Hugging Face, Anyscale, and more. sequoiacap.com/article/genera…

1/6 The Nature paper highlighted by Alexandr Wang raises concerns about synthetic data and model collapse. However, it overlooks the transformative potential of synthetic data in AI. Far from causing collapse, modern approaches enhance model performance and capabilities.

The data truthers are back. Conspiracy-mongering about federal statistics is bad and harmful. Measuring national stats is inherently difficult & subject to error. But the BLS is an independent statistical agency that produces accurate, high-quality data.

We built a GPT-4o-powered cleaning robot. - $250 for the robot arms - 4 days to build Open source is truly democratizing the field of robotics. Kaspar Janssen

guys agent frameworks are so stupid, all you need is an anthropic API key and a while loop …and a FastAPI server so that we can use the agents programmatically …and some good API designs to enable multi user and multi agent support …and a tool execution sandbox so that the