Where does AI go wrong in assessing talent?
Is it time to wear a disguise in interviews?
We’re back with another edition of Machine Learnings, brought to you by the folks at Heyday.
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Awesome, not awesome.
#Awesome
#Not Awesome
What we're reading.
1/ The effort to supercharge workers with AI is on, and here’s a look at our current state. Or, in their words, how might we avoid the Turing Trap? Learn more from WIRED >
2/ Where does AI sit on the hype curve today? A classic deep dive from one of our investors! Learn more from Packy McCormick on Twitter >
3/ AI may come to deciding what to do in life-or-death situations. Spooky, but what might that mean for improving decision-making? Learn more from MIT Technology Review >
4/ Translation services have long been needed for communication across the globe, but can Google’s AI just take care of it? Learn more from Fast Company >
5/ Microsoft is embedding OpenAI functionality within their tooling, and, well, should we expect to see further masses reached? Learn more from TechCrunch >
6/ The world’s first AI political party has risen. Give way to the Danish Synthetic Party. I’m increasingly unsure if this is a joke or not. Learn more from VICE >
7/ A business perspective on where AI can help companies manage talent, and where it’s yet limited. A useful, albeit different angle than the other notes here. Learn more from Harvard Business Review >
And a bonus!
This week, we’re shouting out one of our friends, Paige Finn Doherty. Paige had no network in Silicon Valley, but she used this cold email outreach framework to build her community and grow Behind Genius Ventures…quite impressive. Check out Paige’s five-step framework!
Research for this edition of Machine Learnings was enhanced by Heyday, the AI-powered research assistant.