Revolution

This week in Revolution news: Invest Local: The State of Intra-State Investing 🔄 Read: bit.ly/4rysiCf Subscribe ⬇️ bit.ly/4qkLYZp

This week in Revolution news: Turning land data into intelligence from the Heartland 🗺️ Read: bit.ly/4cPwQzL Subscribe ⬇️ bit.ly/4qkLYZp

Just as an LLM predicts the word “run” when it sees “see spot,” models can now be trained to predict what comes next for a patient. But there’s a catch: to predict a patient's journey, you need to have seen it before. You need longitudinal data, outcome responses, and molecular insights at scale. We’ve spent a decade amassing connected data because we believe the "holy grail" of AI isn't just rewriting emails, it's preventing a patient from suffering because they are on the wrong treatment. Read more on my latest blog: lefkofsky.com/see-spot-run/

What convinced @SteveCase that today’s AI moment mirrors the early days of the internet? The AOL cofounder shares the turning point that made him believe a new technological era had arrived. Thanks to Case, @CarolineHydeTV, and sponsor @tcs for the conversation.

On the court, Azzi Fudd and Yaxel Lendeborg are superstars. Their secret? CAVA 🥗 We're excited to them as they compete over the next few weeks 🏀 Find their custom bowls below ⬇️

“Sometimes there’s a little too much focus on the technology.” On Direct with @JohnDelaney, @SteveCase reflects on technological breakthroughs of the past and how real value comes from the partnerships, business models, & ecosystems built around them. 🎙️ podcasts.apple.com/us/podcast/epi…

AI boom 🤝 Internet boom In our new interview series, Direct with @JohnDelaney, we sat down with @SteveCase, co-founder of AOL and Chairman & CEO of Revolution to talk all things business, policy, and what effect it has on our everyday lives.

We always refer to Scopely as a “journey company,” a place where we’re excited to learn, grow and relentlessly iterate to greatness. As we enter our 15th year, we celebrate the Scopely adventure — an experience rooted in ambition, deep care and a desire to create places that mean something to people for the long term. What started in 2011 as a small team working out of an LA office has grown into a global organization of more than 3,000 Scopeleans working across 30+ countries. As one team – one Scopely – we have built and supported games that have reached 𝗯𝗶𝗹𝗹𝗶𝗼𝗻𝘀 𝗼𝗳 𝗽𝗹𝗮𝘆𝗲𝗿𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝘄𝗼𝗿𝗹𝗱. As we recognize our journey to 15 and look ahead to the next 15, we are proud to share a few new milestones — including that Scopely has surpassed $𝟭𝟱 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗶𝗻 𝗹𝗶𝗳𝗲𝘁𝗶𝗺𝗲 𝗿𝗲𝘃𝗲𝗻𝘂𝗲 and 𝟭𝟱𝟬 𝗯𝗶𝗹𝗹𝗶𝗼𝗻 𝗵𝗼𝘂𝗿𝘀 𝗼𝗳 𝗽𝗹𝗮𝘆𝘁𝗶𝗺𝗲. #Scopely15 🔗 𝗖𝗲𝗹𝗲𝗯𝗿𝗮𝘁𝗶𝗻𝗴 𝗼𝘂𝗿 𝗮𝗻𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗿𝘆 𝗮𝗻𝗱 𝘁𝗵𝗲 𝗽𝗼𝘄𝗲𝗿 𝗼𝗳 𝗽𝗹𝗮𝘆: lnkd.in/guw7tBfq

An NVIDIA powered farming machine uses Al vision and precision lasers to eliminate weeds in milliseconds without herbicides and without harming crops, a potential shift toward chemical free agriculture

Watch @joerogan and @RobertKennedyJr talk about glyphosate, laser weeding, and how this administration is committed to helping farmers move away from herbicides while making farmers more productive, profitable, and sustainable. The result: a healthier food supply for all Americans and greater national security. Commentary added from Carbon Robotics founder and CEO @pmikesell.

This stretch of the year took us from policy corridors & U.S. history hubs to global tech stages & industrial markets in transition. See where we went, who we met, and what we saw on the ground this fall and winter. 🖊️ 🛣️ revolution.com/blog/dispatche…

The future of personal finance is global with @TalaMobile at the helm. "On our list for the 10th straight year, [Tala] expanded to reach consumers in Guatemala, Panama, & India in addition to existing markets…In 2025, it disbursed $1B in credit." 🌎📱 forbes.com/sites/sophiaac…

Our CEO and founder @lefkofsky is on the most recent episode of @hoh_pod discussing how Tempus is tackling the complexities of the healthcare system to make precision medicine a reality. In this episode, Eric dives into the power of multimodal data and how we’re using AI to help eliminate waste and error by ensuring every patient gets the right treatment at the right time. Listen now: open.spotify.com/episode/6OY1Qv…

A decade of impact! Tala has been named to the @Forbes #Fintech50 for the 10th year in a row. Huge congrats to our Founder & CEO @shivsiroya for being named one of America’s 250 greatest innovators, too. 🏆 Onwards and upwards! 🚀

"Based on estimated time savings of 45-90s/package, a facility shipping 10K boxes could save ~15K minutes, or over 250 labor hours weekly [with WaveKraft]."📦 More on @TemperPack’s better-for-business (& the planet) shipping solution in @packagingdive ⤵️ packagingdive.com/spons/how-next…

We thank @RobertKennedyJr for his focus on the American farmer and healthy food. Thank you, @TheoVon, for such a great podcast. Here’s the video clip of them talking about laser weeding as an alternative to chemical herbicides, with some commentary added from Carbon Robotics founder and CEO @pmikesell. Let’s make America healthy again, MAHA!

Silicon Valley became what it is today, at least in part, because of dense local capital networks.   Today, more states are working toward building their own. Our latest @RiseOfRest report examines how frequently investors back homegrown startups and how that local foundation shapes where innovation takes hold. revolution.docsend.com/v/7hzj3/invest…

For more than a decade, we’ve tracked how venture capital flows across the U.S. and how those flows influence where innovation takes hold. A central premise: local investors help spark and sustain startup ecosystems. So how is that dynamic showing up across the country? In our 2026 report we take a look: revolution.docsend.com/v/7hzj3/invest…

"What is and isn’t a weed that needs to be eliminated in the field is determined by the eyes of the farmer—and now, increasingly, by a new AI model from @carbon_robotics." @rebecca_szkutak on the ag data flywheel Carbon has built in @TechCrunch. ⤵️ techcrunch.com/2026/02/02/car…

"We have over 150 million labeled plants now in our training set," @pmikesell said. "We have enough data now that we should be able to look at any picture and decide what kind of plant that is, what species it is, what it's related to, what its structure is like, without having ever even seen that particular plant before, because we have so much data going into the neural net." Read the full article: techcrunch.pulse.ly/4uhgf96jl8