Jennifer Strong

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Jennifer Strong

Jennifer Strong

@StrongReporter

Creator of SHIFT Podcast @PRX, @WSJ’s The Future of Everything, In Machines We Trust and Curious Coincidence @techreview, Extortion Economy with @ProPublica.

New York City Se unió Haziran 2014
1.8K Siguiendo23.6K Seguidores
Jennifer Strong retuiteado
Jeff Wilser
Jeff Wilser@jeffwilser·
Link to apply: thedrawingroom.ai Feel free to share! Intended for leaders (CEOs, founders, C-suite, etc) who are looking to embrace a curious mindset and get more out of AI.
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Jeff Wilser
Jeff Wilser@jeffwilser·
Aaaand.... Excited to come out of stealth! After years covering the AI space, two things are crystal clear: Leaders are excited about AI. Leaders are confused by AI. They love the *idea* of it, but they're not sure how to implement it in their organization. 🧵
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Jennifer Strong retuiteado
Jeff Wilser
Jeff Wilser@jeffwilser·
If this at all resonates, I’m delighted to share an event I’m coproducing and cohosting with the brilliant @StrongReporter: The AI and Leadership Salon, in New York City, on October 9th at The Explorers Club.
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Jennifer Strong
Jennifer Strong@StrongReporter·
Such a pleasure to join my former #MIT community on stage for #NYTechWeek! Thank you for the brilliant conversations and sharp insights. Special thanks to Jag Gill, Andrew McLaughlin, Jenny Fielding, Denzil Eden, John Pasmore, Sheena Jindal. 🫶 linkedin.com/posts/jagkgill…
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Recursion
Recursion@RecursionPharma·
Recently, @StrongReporter, host of the SHIFT podcast, visited Recursion’s Salt Lake City headquarters to get a “peek behind the curtain” at our automated labs in action. She talked with cofounder and CEO @RecursionChris about the recent explosion of TechBio companies, biology’s incredible complexity, the benefits of robots, and what’s required to run an industrialized end-to-end drug discovery company at scale. 🔹 Some highlights: ▪️ On pharma’s TechBio transition “This is a multi-trillion dollar industry. About a decade ago there was a set of 6-10 upstarts that wanted to use things like ML or AI to try and discover medicines better. Today there are probably 400-500 of these companies, most of them still very early stage. Recursion is one of the very few of that original wave of companies.” ▪️ On biology’s complexity “Inside of each of us we have trillions of cells, and inside every one of those cells, we've got about 20,000 genes that are expressing about 400,000 different proteins, and there are trillions of interactions of all of those 400,000 proteins. So it is wildly complex, and that's the problem…Today, 90% of drugs that go into clinical trials fail, and it's not because there aren't really smart scientists working on the problem, it's because they're working against this incredible complexity.” ▪️ On enlisting robots “We envisioned a company where we could use robots to generate massive quantities of data, and we could use machine learning and AI to take all of that data and distill it down to find the patterns that actually tell us how biology works so that we could go from failing 90% of the time in clinical trials to maybe failing 80% of the time. I tell the team ‘If we could go to 80% failure rate, we would be twice as efficient as the industry, and you could theoretically cut the price of medicines in half.’” ▪️ On the lab in action “This facility full of robots and a handful of people is doing the equivalent of my entire PhD's worth of data generation about every 15 minutes… You see all of these different workstations, all of these different lights, little arms moving plates around, and this system is running about 20 hours a day, 7 days a week, 50 weeks a year. It's really more like an advanced manufacturing facility than it is like a traditional research lab.” 👉 Listen to the full conversation here: play.prx.org/listen?ge=prx_…
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Katie Roof
Katie Roof@Katie_Roof·
There are two types of tech people: those at HumanX and those at SXSW
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Jennifer Strong retuiteado
Michael Nelson
Michael Nelson@MikeNelson·
Right NOW! @StrongReporter, moderator. @Jane_Munga, CarnegieEndow Nicholas Bramble, @Google, plus a Nigerian working to expanding digital opportunities in Africa. #DigitalFuture
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Carnegie Endowment@CarnegieEndow

🔴 LIVE @ the 2024 Carnegie Africa Forum: Will AI enable or undermine Africa's digital future? Experts Jennifer Strong, @jane_munga, & Nicholas Bramble unravel the opportunities and risks posed by AI to Africa’s development. WATCH: bit.ly/4cfHblq

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Rachel Metz
Rachel Metz@rachelmetz·
🚨Scoop from me and @BrodyFord_: Adobe has touted Firefly as a safe and ethical alternative to competitors like Midjourney… but it also quietly trained Firefly on Midjourney images. Adobe’s ‘Ethical’ Firefly AI Was Trained on Midjourney Images bloomberg.com/news/articles/…
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Meg Marco
Meg Marco@meghann·
Personal news, as they say, but not the happy kind. Just want to thank the wonderful @WIRED crew. It was an honor. Hiring managers, please snap up my colleagues who are also impacted. Absolutely brilliant, kind, funny journalists who welcomed me warmly to the WIRED family. 🫡
Talking Biz News@talkingbiznews

.@meghann, executive editor of news at @wired, is among those departing: talkingbiznews.com/media-news/exe…

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IAPP
IAPP@the_iapp·
We’re finishing out the Closing General Session with a keynote panel of technology thought leaders and senior executives from major tech companies to learn about their innovative approaches to AI governance - moderated by @StrongReporter (SHIFT Podcast) #AIGG23
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Karen Hao
Karen Hao@_KarenHao·
Nearly a decade ago, @FrankPasquale coined the phrase "black-box society" to refer to the way tech platforms were growing ever more opaque as they increased their influence. Now we accept this secrecy when, in the age of AI, we need to resist it the most. theatlantic.com/technology/arc…
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