We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
Heyday is an AI-powered memory assistant that resurfaces content you forgot about while you browse the web.
We’ve done hundreds of user interviews, and the most common problem we hear is you have too many tabs open. How can you filter the signal through the noise?
👋🏾 That’s where we come in.
In 2023, we’re working directly with our users to solve the fundamental problems within our web browsers.
If you want hands-on service to level up your knowledge work, join us here.
-@samdebrule
What we're reading.
1/ How do we know if we’re reading a human’s words? Maggie Appleton lays out principles for navigating the dark forest of generative AI. Learn more at Maggie’s Garden >
2/ Here’s Edward Tian’s attempt at answering that question. Over the holiday break, he built a tool to gauge if a human or bot wrote an essay. Learn more at Twitter >
3/ If you had to guess what OpenAI was worth today, what would you say? Rumors have it that they’re in line for a valuation more than double of last year. Learn more at The Wall Street Journal >
4/ Microsoft is souping up Bing to take on Google, and we could reap the rewards in less than two months. What is this world? Learn more at The Information >
5/ GoogleAI just raised the level on text-to-image generation + editing. What a cool demo. Learn more at Twitter >
6/ Most everyone believes we need forms of regulation on Artifcial Intelligence. Enter the EU. Learn more at New Scientist >
7/ Looking for more rabbit holes? Here’s an AI reading list expertly curated by Jack Soslow. Learn more at Twitter >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.