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Congrats to Fable on being named App of the Day—again! Fable is redefining the way we discover and share great books, and it’s amazing to see them recognized for it??? https://lnkd.in/d3Xg6C4E

AI won’t scale without solving energy.?On today’s Unsupervised Learning, Mike Schroepfer (ex-CTO of Meta and founder of Gigascale Capital) unpacks the path to powering the progress of AI. Mike discusses how we can scale energy production to democratize AI globally and explores AI’s role in climate change. He also reflects on a decade as Meta’s CTO and how AI coding is transforming the CTO role. Finally, he offers predictions on the future of AI developer tools, VR, and open-source models. Some takeaways: ?? Why Energy Is the Biggest Bottleneck to AI Progress Running reasoning agents for billions of people will require staggering amounts of power. Even, without AI the US will need to 5x our power grid by 2050 to meet increased need. At the same time, billions of people around the world still lack air conditioning and clean water—not because the technology doesn’t exist, but because energy remains too expensive or inaccessible. To truly improve global living standards and realize the promise of AI, we must figure out how to generate a whole lot more energy. ?? Lessons From 10 Years as Meta's CTO & Overcoming Data Center Forecasting Challenges Predicting infrastructure needs is a high-stakes gamble, especially when decisions must be made years in advance. Mike found underestimating demand felt more painful than over-predicting, since a lack of capacity bottlenecks innovation and growth. We also discussed challenges around making further out bets on architecture and what to outsource vs own in supply chain. ?? 3 AI in Climate Innovations That Are Already Happening First, AI is shaking things up in exploration, like finding hidden geothermal energy. Instead of guessing where to drill, companies like Zanskar use AI to spot the best locations. AI is also making predictions way better, from weather forecasts to insurance risk. In materials discovery and optimization, AI is speeding up the search for breakthroughs in carbon capture, energy, and even medicine—helping scientists identify a smaller set of promising candidates. A fascinating conversation - check it out below: YouTube: https://lnkd.in/gN4wQTtZ Spotify: https://bit.ly/43pwFGM Apple: https://bit.ly/41o3RLX

AI won’t scale without solving energy.?On today’s Unsupervised Learning, Mike Schroepfer (ex-CTO of Meta and founder of Gigascale Capital) unpacks the path to powering the progress of AI. Mike discusses how we can scale energy production to democratize AI globally and explores AI’s role in climate change. He also reflects on a decade as Meta’s CTO and how AI coding is transforming the CTO role. Finally, he offers predictions on the future of AI developer tools, VR, and open-source models. Some takeaways: ?? Why Energy Is the Biggest Bottleneck to AI Progress Running reasoning agents for billions of people will require staggering amounts of power. Even, without AI the US will need to 5x our power grid by 2050 to meet increased need. At the same time, billions of people around the world still lack air conditioning and clean water—not because the technology doesn’t exist, but because energy remains too expensive or inaccessible. To truly improve global living standards and realize the promise of AI, we must figure out how to generate a whole lot more energy. ?? Lessons From 10 Years as Meta's CTO & Overcoming Data Center Forecasting Challenges Predicting infrastructure needs is a high-stakes gamble, especially when decisions must be made years in advance. Mike found underestimating demand felt more painful than over-predicting, since a lack of capacity bottlenecks innovation and growth. We also discussed challenges around making further out bets on architecture and what to outsource vs own in supply chain. ?? 3 AI in Climate Innovations That Are Already Happening First, AI is shaking things up in exploration, like finding hidden geothermal energy. Instead of guessing where to drill, companies like Zanskar use AI to spot the best locations. AI is also making predictions way better, from weather forecasts to insurance risk. In materials discovery and optimization, AI is speeding up the search for breakthroughs in carbon capture, energy, and even medicine—helping scientists identify a smaller set of promising candidates. A fascinating conversation - check it out below: YouTube: https://lnkd.in/gN4wQTtZ Spotify: https://bit.ly/43pwFGM Apple: https://bit.ly/41o3RLX

Always love a Redpoint portfolio collab!!! Redpoint is sponsoring a demo night hosted by Modal and Mistral AI on Thursday, March 6. Join us for fun demos from startups and individuals using open-source LLMs, plus a showcase of the latest features from Modal and Mistral. Whether you're just starting to think about open-source LLMs or have already put them in production, we'd love to see you there! https://lu.ma/bk3gbum3

Huge move from Snowflake — launching the Silicon Valley AI Hub to bring together developers, startups, and leaders shaping the future of AI. Excited to see our portfolio companies take full advantage of the space and collaborate with the incredible AI community there. Huge thanks to Snowflake for bringing us into the partnership—looking forward to what’s ahead! https://lnkd.in/gW6QwPCR

Today marks an exciting moment as HashiCorp announces its acquisition by IBM—another step in its journey to revolutionize how applications are built and delivered. What they’ve accomplished is nothing short of extraordinary. Armon Dadgar and Mitchell Hashimoto are visionaries who have built world-class products that solve real-world problems for delighted users. While creating one successful open-source project is impressive, under their leadership—and with the dedication of an outstanding engineering and product team—HashiCorp has delivered hit after hit. And none of this would have scaled the way it did without David McJannet’s incredible leadership. He built an extraordinary team (shoutout to Marc Holmes, Paul Warenski, Susan St. Ledger, Talha Tariq, Ash Nangia, and many others), enabling HashiCorp to grow into the powerhouse it is today. It’s always inspiring to see great things happen to great people—including friends like Glenn Solomon, Robin Vasan, Navin Chaddha, and Tom Loverro. I'm excited to see what the future holds! Redpoint feels very fortunate to have worked with you all. We know this is only the beginning for Hashi. We can't wait to see where the team goes from here...we just know that it will be special!

AI innovation has a new home. We’re thrilled to introduce the Silicon Valley AI Hub – a space for developers, startups, and businesses to learn, deepen relationships, and shape the future of AI. Co-located with our new Menlo Park campus, we look forward to welcoming you in this summer and seeing how we can create the future of data and AI together: https://lnkd.in/gUDa-XSk

To honor Duo the owl’s return to life, here’s a clip of when Luis von Ahn shared Duolingo’s marketing formula on The Logan Bartlett Show—including how they’ve mastered going viral time and time again. A few pieces of the formula: ?? Hiring Gen Z marketers ?? Prioritizing entertainment over selling on social ?? Making content that not everyone needs to understand More on their marketing tactics in the full episode: https://lnkd.in/erew5A2M

What are the new rules of go-to-market in the age of AI? Last week,?Yamini Rangan (CEO, HubSpot)?joined?The Logan Bartlett Show?to break down how AI is reshaping sales and marketing—and what companies need to do to stay ahead. ??The biggest mistake companies make when using AI to generate content? ???Proven frameworks to future-proof a business? ???How to effectively integrate AI into sales & marketing teams today—and where the future is headed Catch the full episode packed with insights for founders, executives, and go-to-market leaders here: https://lnkd.in/equcvGWH