
Adam Perold
@AdamPerold
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Joined June 2012
Open source winning means consumers and enterprise win, distribution and application layers win, we all build on top of these innovations together, advancing society, and it's fantastic to see companies across the world taking this approach regardless of country, but especially.
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Imagine @JeffBezos leading team USA. @lexfridman : please ask him if he will run. He'll win. It will be good.
Here's my conversation with @jeffbezos, founder of Amazon and Blue Origin. This is his first time doing a long-form conversation of this kind, and it was an epic one. It's here on X in full & is up on YouTube, Spotify, and everywhere else. Timestamps:.0:00 - Introduction.0:24 -
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Part 14:15 ✅.
"The best thing founders can do is subtraction. It's much much easier to add things than it is to remove." Tobi is acutely brilliant & focused; it's why working with him the last 12yrs has been the privilege of my life. Great episode @tobi & @ShaneAParrish
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Well presented by brilliant entrepreneur running one of the companies that might ultimately measurably impact GDP @amasad @replit 💫✨.
My Ted talk is on YouTube. I did not watch it so I’m not sure if any good. But I tried to envision what the future of AI-powered software creation will look like in the next few years, and what it means for the world. Of course, the best way to predict the future is to build it.
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The ‘20s might win the award for most interesting era in science. (although we might start saying that more often!).
nature.com
Nature - Researchers at the National Ignition Facility are consistently creating reactions that make more energy than they consume.
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Wow, @sedielem ! I'm so excited for this! volunteering trusted tester please 🙋♂️🎶.
5-6 years ago I was working on music generation at DeepMind, but let me tell you, this is. something else. Incredibly excited to be able to finally share what our team has been working on!.
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RT @martin_casado: 1/ We’ve submitted a letter to President Biden regarding the AI Executive Order and its potential for restricting open s….
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It will be enlightening in 5 years to list how many fundamental advancements in society were built on top of open source AI technologies, and how much credit is due to the efforts of the people working tirelessly for it today @ylecun @MetaAI @huggingface.
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🔥🔥.
I began working on Transformers in 2018 at @StanfordAILab -- training and inference in the early days was anything but fun. Today it takes 3 lines of code and zero setup time to use a multi-B LLM on @Replit. Releasing Replit ModelFarm is one of my career dreams come true. 1/ 🧵
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Exciting to cheer on one of the world's most-loved collaborative coding communities as they launch new innovations in the generative coding era! The heart and soul of StackOverflow can't be replicated. Congrats @pchandrasekar @StackOverflow !.
Today we officially launch the next stage of community and AI here at @StackOverflow: OverflowAI! Just shared the exciting news on the @WeAreDevs keynote stage. If you missed it, watch highlights of our announcements and visit
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RT @scottbelsky: Collapse the talent stack every chance you get. As I reflect on the teams I’ve led and hundreds of start-ups I’ve worked….
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RT @munkdebate: HAPPENING NOW:. @ylecun's opening statement at the Munk Debate on AI. You can watch the it live (exclusively for Munk dono….
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Seeing a generalization of AI techniques successfully crossing over to new data domains is always satisfying. In this paper, the authors introduce ViT/MLP-Mixer to Graphs, demonstrating how the popular method in computer vision can be applied to graph data representations.
New paper w/ @he_xiaoxin @BryanHooi1 T Laurent @AdamPerold @ylecun. We introduce Graph MLP-Mixer, a GNN w/ three key properties:.1) captures long-range dependency.2) keeps low linear speed/memory complexity as MP-GNNs.3) provides high expressivity
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Excellent research on compression techniques by Manoj Alwani, Yang Wang and Vashisht Madhavan. Congrats Element team on this CVPR paper! 💫✨.
In the upcoming IEEE / CVF Computer Vision and Pattern Recognition Conference on June 23, Element Inc’s Manoj Alwani and Yang Wang will be sharing their research on DECORE: Deep Compression with Reinforcement Learning. Access the poster at
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Nice paper on compression techniques, recently accepted to CVPR 2022. Congrats team!.
linkedin.com
Happy to share our work, DECORE: Deep compression with reinforcement learning is accepted for CVPR 2022. Our technique can also be used for compressed network architecture search(NAS). Please find...
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Happy Year of the #WaterTiger, everyone. The zodiac themes of open-mindedness, and bravery and courage are nice ones to keep in mind in this era of new tests and opportunities.
From all of us here at Element Inc., Happy Lunar New Year to all our friends and partners. May this Year of the Tiger strengthen our initiatives and bring you happiness, healthfulness, much success, and good fortune!. #LunarNewYear #chinesenewyear #cny2022 #CNY #yearofthetiger
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