Agents at the door
Plus, good open source news and scary data gathering reports
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.
A week of subreddit blackouts and Langchain functions built into GPT-4 has us thinking about what’s next.
Or more importantly, what we can build with it…
Want to see for yourself? Connect to Heyday for free today.
-@samdebrule
What we're reading.
1/ Function calling is here for ChatGPT. What’s that mean? Automated computing possibilities just grew exponentially…again. Your agents are here. Learn more at Every’s Chain of Thought >
2/ The whole world’s betting on AI, and then there’s IBM. Is quantum computing actually here? Learn more at The New York Times >
3/ In the tech world, 2023 has been marked by the string of LLM releases. In an unexpected turn, we have to ask: is Meta pushing the world towards open source? What would that mean for Google, Microsoft, and OpenAI? Learn more at The Information >
4/ Etsy, our great homemade hope, is being overrun by AI products. Okay, which one of you did it?! Learn more at The Atlantic >
5/ This week’s scary one – the U.S. government is secretly amassing sums of “sensitive and intimate information” on its citizens. Sounds like someone’s gathering dirt! Learn more at WIRED >
6/ Sometimes we just need a deep dive on a company to understand where they’re heading. This is one of those times. These days we’re trying out Claude’s 100K token window, and we want to know more on Anthropic. Learn more at Turing Post >
7/ Let’s close on a high note. We’re big fans of WIRED’s Chief Maverick, Kevin Kelly. His renowned yearly life advice now includes how to love AI. How nice. Learn more at WIRED >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.