Discover more from Machine Learnings
The pace of progress in question
Would a call to pause AI research even help? What about acceleration?
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.
So what does it feel like when you find something you’ve lost? A sense of magic.
Most AI tools we play with are fun, but not specific. They’re trained on global models, so their suggestions are for everyone, not each of us.
We’re a touch different. If you want to find out how, try Heyday today.
What we're reading.
1/ Ben Thompson interviews Nvidia’s CEO Jensen Huang about all things AI and Nvidia’s future in that world. That alone should get you to read. Learn more at Stratechery >
2/ This week brought about a public call to pause AI from more than 1000 researchers, engineers and policymakers. Why? And how? Learn more at Fortune >
3/ The big retort. We must say, it comes from someone with lots to gain from all of this – OpenAI CEO, Sam Altman. Learn more at The New York Times >
4/ For a number of years, outlets like 80000 Hours were rare in writing about AI, risk, and alignment. Now that AI’s reached the world’s stage, it’s nice to look back at everything their team has written in recent years. Learn more at 80000 Hours >
5/ What if GPT models are actually reasoning engines? That’s the position Dan Shipper’s taking here. Looking through this lens, what would that mean for wider society? Learn more at Every >
6/ Celebrity deepfakes are creating expected consequences. Worth it to read about Taylor Swift’s AI dark side. Learn more at The Atlantic >
7/ What might AI policy look like in the US? A thoughtful roundtable on the varying perspectives of policymakers and powerbrokers in Washington. Learn more at MIT Technology Review >
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered memory assistant., the AI-powered memory assistant.
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