We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
Heyday is an AI-powered research assistant that helps you retain more of what you learn by resurfacing content you forgot about.
We’re building our team, and with all the news of recent tech layoffs, we want to lend a hand. If you – or your friends – are interested in solving complex interface problems, let’s talk. My co-founder Samiur (Heyday’s CEO) puts it clearly:
Today, we’re a team of 5 friendly, ambitious folks trying to create a better future for the internet. Now we’re looking for a frontend engineer to make that a reality.
Awesome, not awesome.
#Awesome
#Not Awesome
What we're reading.
1/ GitHub programmers have turned around and filed a class-action lawsuit against Microsoft for violating open-source licenses to train GitHub Copilot. Learn more from VICE >
2/ There was a metric ton of Twitter news this week, and here’s another we’re curious about. How will Musk replace the Ethical AI team? Will he? Learn more from WIRED >
3/ Extremely related, an inside look at how to survive as an AI ethicist. Learn more from MIT Technology Review >
4/ Google has dropped their latest – on robots that write their own code. The feedback loop tightens. Learn more from the Google AI Blog >
5/ OpenAI announced in a short email that opened up DALL·E as an API and , setting the stage for further legal discussions on generative AI artwork. Learn more from OpenAI >
6/ [Funding/Accelerator] Also in the world of OpenAI, the first cohort of the OpenAI Startup Fund is accepting applications. If you’re building something around AI, you have until November 25 to apply for Converge. Learn more from TechCrunch >
7/ Lastly, one from last week that we couldn’t fit in. Meta AI is compressing audio files at amazing rates. Is Pied Piper here? Learn more from Meta AI >
One from our friends…
This week, we’re spotlighting Andy Sparks – former co-founder of Mattermark, former CEO of Holloway, and an executive coach to CEOs and founders.
Andy’s newsletter, Hoo Boy, explores the difference between poor and great management specifically for founders of new and growing startups, but just about any manager would find it useful. Hoo Boy goes out twice a month on Sundays, and the bulk of each issue covers one “big idea” on management.
Take a look at this recent piece on fact vs. meaning, and subscribe to Andy’s work!
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered research assistant.