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Dan ShaperoComplete111 Oct, 10:3429 Apr 2026
Ryan RoslanskyComplete61 Oct, 10:3316 Jun 2026
Erran BergerComplete71 Oct, 10:3423 Jun 2026
Anthony ChavezComplete11 Oct, 10:3230 May 2026
Matt DerellaComplete71 Oct, 10:3016 Jun 2026
Teuila HansonNo posts01 Oct, 10:333 Apr 2026
Raghu HiremagalurNo posts01 Oct, 10:331 Apr 2016
Jessica JensenComplete131 Oct, 10:3416 Jun 2026
Blake LawitComplete11 Oct, 10:3317 Jun 2026
Nicole LeverichComplete71 Oct, 10:3518 Jun 2026
Jordan LevyNo posts01 Oct, 10:3423 Apr 2025
Mark LoboscoComplete51 Oct, 10:352 Jun 2026
Archana SekharComplete11 Oct, 10:3323 Apr 2025
Hari SrinivasanComplete81 Oct, 10:331 Jun 2026
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1 Oct, 10:34Erran Bergercomplete18 seen11 new0 rejected
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With 20,000+ customers, our little Hiring Assistant is growing up fast. With today's launch, we've made it even better. It's now: -Smarter, using better reasoning models, persistent memory, and improved personalization from past searches. -Better integrated,… moreWith 20,000+ customers, our little Hiring Assistant is growing up fast. With today's launch, we've made it even better. It's now: -Smarter, using better reasoning models, persistent memory, and improved personalization from past searches. -Better integrated, allowing seamless workflows across the hiring stack, new voice calls & more. -More trusted, leveraging our fast growing verified identity & skills evidence graphs. All these features are based on our belief that nobody is taking a job without talking to another person. We aim to reduce the overhead in recruiting, so hirers can focus on what really matters: the talent. https://lnkd.in/gmtwNxts
77 reactions · 7 comments · 3 repostsOpen on LinkedIn
AI is helping mathematicians make real progress on Navier-Stokes. A problem that has resisted humans for generations. Super cool. But that’s not how a billion people are going to decide if AI matters. They’re going to decide it matters when it gives them… moreAI is helping mathematicians make real progress on Navier-Stokes. A problem that has resisted humans for generations. Super cool. But that’s not how a billion people are going to decide if AI matters. They’re going to decide it matters when it gives them time back. When Sunday night isn’t spent doing expense reports. When a five-step approval becomes one step. When a doctor catches a disease earlier. When a kid anywhere in the world gets access to a great teacher. When healthcare gets better and more affordable. Kevin Scott put it this way: “A.I. is one of the most powerful things humans have ever invented for improving the quality of life of everyone, but it will take time. It should take time. We've always tackled super-challenging problems through technology. And so, we can either tell ourselves a good story about the future or a bad story about the future, and, whichever one we choose, that's probably the one that'll come true.” The question is what we choose to do with it. I think the best companies start with a vision: What is the world we want this technology to help create? Then work backwards... Build toward that vision AND put the safeguards in place to do it responsibly. The answer isn’t to start from fear, or to ignore the risks. It’s to be clear about the future we want, and build toward it with safeguards from the start. This is a time for real leadership. Technical brilliance matters enormously. But so do judgment, experience, empathy, and an understanding of how businesses and institutions actually work, and how change actually lands on people. The technology isn’t going to decide what kind of future we build with it. We will.
532 reactions · 112 comments · 14 repostsOpen on LinkedIn