We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
If you haven’t checked it out yet, Heyday is an AI-powered research assistant that helps you retain more of what you learn by resurfacing content you forgot about.
And after securing our recent $6.5m seed round, we’re looking to grow our team. Exciting!
We’re hiring both Backend Engineers and Frontend Engineers interested in shaping the future of the internet. We’re a small team of 5 that likes to spend time together (Dominion, anyone?), so we’re looking for folks near our office in San Francisco.
If this sounds like you, let’s talk!
Awesome, not awesome.
#Awesome
#Not Awesome
What we're reading.
1/ Firefighters are about to get a helping hand with one of the most dangerous fire phenomena. Learn more from The National Institute of Standards & Technology >
2/ Extremely useful guidance in using DALL-E 2, packed with all the mistakes you’d imagine yourself making. With llamas! Learn more from Towards AI >
3/ Live deepfake videos may become more prevalent, but there’s an easy way to see if its a fake. Ask them to turn sideways, and yeah... Learn more from Metaphysic >
4/ [Launch] Sematic just launched an open-source framework to create production-ready ML pipelines in days, not weeks. Game changer? Learn more from Hacker News >
5/ Meta’s new chatbot is going in hard on Zuck, which is humorous and to be expected based on what we know about language models. Learn more from The AV Club >
6/ Amazon wants to map your house, and buying the Roomba just made that far easier. Learn more from VICE >
7/ [Funding] Hyundai just committed $400m to launch the Boston Dynamics AI Institute. We can certainly expect more robots. Learn more at The Robot Report >
Research for this edition of Machine Learnings was made easier by Heyday, the AI-powered research assistant. We all do research. Level up your own.