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.
At the end of 2022, we published a huge report on information overload based on 750 anonymous Heyday users. There are so many helpful bits for those of you building tools for knowledge workers. Get in.
We’re committed to helping you find the signal in the noise, and there’s a lot of it. Join us.
-@samdebrule
What we're reading.
1/ Gordon Brander writes some of our favorite thoughts on the future of computing. Here he is on our relationship with information, post-scarcity. Learn more at Subconscious >
2/ Ben Thompson on what each of the big five tech companies can do about AI in the near future. Learn more at Stratechery >
3/ Any serious users of GPT tools have quickly realized sometimes things are a little…made up. I laughed at the title, but the story is great. Learn more at the New York Times >
4/ Each year, MIT rolls out their 10 breakthrough technologies they expect us to see this year. Here’s the 2023 list, chalk full of interesting candidates. Learn more at the MIT Technology Review >
5/ A mental health startup used GPT-3 to serve patients, and not everyone understood what was happening. Oof. Learn more at VICE >
6/ An interesting dive into similarities and differences from Anthropic AI’s new ChatGPT competitor, Claude. We’re about to see more of these. Learn more at TechCrunch >
7/ [Funding] DeepL just secured $100m in funding to continue building AI translators. Learn more at VentureBeat >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.