Now you're using a new LLM
Plus all the latest research on open source's impact on 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 week brought another step forward for ChatGPT. Now premium users can program instructions that carry through their conversations.
This is the way. We all want to tailor our tools to our uses with as little overhead as possible. It should feel native, without repeated overhead.
This is a peek of what’s coming for you in Heyday. Care to find out more?
-@samdebrule
What we're reading.
1/ A super helpful catch-all resource for the massive LLaMA 2 launch this week. It’s free for both research and commercial uses. Go wild. Build yourself a mega-app. Change the world. Learn more at Phil Schmid's Blog >
2/ How to navigate the open source landscape as a researcher. Simple, helpful, and probably essential if you’re dipping your toes into AI. Learn more at Supervised >
3/ How will the continued push to open source shape AI’s impact? A legislative reflection with a look inside Jimmy Wales’ recent comments on how ChatGPT is trained. Learn more at GigaOm >
4/ Apple’s been quiet on the AI front, but in classic fashion, the work is behind the scenes. Quite a unique look at the uncertainty inside Apple around generative AI. Learn more at Bloomberg >
5/ Continuing on with the open access theme, here’s the latest research from Wikimedia, reviewed by Nicolas Jullien. Learn more at Wikipedia >
6/ Supercomputers are being tailored for AI use at mass scale. Here’s a look at one of the first to come to life. Learn more at The New York Times >
7/ Take a peek inside the alien mind and how our AI experiments can tap into a different form of neuroscience. This one took a bit to digest, but was very worth it. Learn more at Stephen Wolfram’s Blog >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant.