A top open-source LLM is now available
+ a look inside today's financial and environmental costs of AI
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.
This past week, we ran 3 different experiments with a few of our top customers. What would they be capable of if we train our models to work for them directly?
Results coming soon. This goes beyond just memory. 👀
If you want early access to personalized drops, try us for free today.
-@samdebrule
What we're reading.
1/ Meta has dropped open-source LLMs that outperform the highest-performing releases available today. Meet LLaMA and try it yourself. Learn more at Meta Research >
2/ After the boom comes…the bill? With a massive uptick in AI tool usage, what’s the fallout for Mother Earth? Learn more at WIRED >
3/ Managing cloud compute costs is a huge question for AI tool builders, and there’s an interesting twist at the center of the problem – Oracle. Learn more at The Information >
4/ The first public test of robotics + mind control + AI is here, and it’s frightening. Learn more at Interesting Engineering >
5/ Sam Altman and OpenAI have published their memo of prep for AGI. I suspect folks will be circling back to this piece for years to come. Learn more at OpenAI >
6/ Microsoft has just published new research guiding builders how to use ChatGPT for robotics. There’s a nice open-source library in there, as well. Learn more at Microsoft Research >
7/ Closing on a fun note. Spotify has joined the wave and released an AI DJ. Have you tried it yet? Learn more at TechCrunch >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.