New this week
TNW
DeepMind's new Gato AI makes me fear humans will never achieve AGI
TNW
3 min read · May 13th · DeepMind just unveiled a new AI system called Gato that makes OpenAI's GPT-3 look like a child's toy. But are we any closer to AGI?
Summary · Reader View · Shared by 44, including Gerd Leonhard, Nige Willson, Dr. Marigo Raftopoulos, Nando de Freitas 🏳️🌈, Merkstatt, Bob E. Hayes, Marcus Borba
Data Science Central
Why Gato from Deepmind is a game changer
Data Science Central
2 min read · May 15th · This week, there was (yet another) game changing announcement from the folks at Deepmind named Gato Gato is a cool cat 🙂 It leads us closer on the road to AGI because Gato is a transformer model that…
Reader View · Shared by 34, including Ines Bieler, Dr. Craig Brown, Kirk Borne
The Gradient
Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networks
The Gradient
20+ min read · May 9th · On going beyond message-passing based graph neural networks with physics-inspired “continuous” learning models
Reader View · Shared by 12, including Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem
Aeon+Psyche
How machine learning can help historians decode ancient inscriptions
Aeon+Psyche
1 min read · May 2nd · How the deep neural network that can restore, date and place ancient texts is working to fill in the blanks of history
Shared by 66, including Larry G. Maguire 🇺🇦, Tactical Tech, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Yves Mulkers
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MIT Technology Review
Meta has built a massive new language AI—and it’s giving it away for free
MIT Technology Review
1 min read · May 3rd · Facebook’s parent company is inviting researchers to pore over and pick apart the flaws in its version of GPT-3
Reader View · Shared by 159, including Dr. James Canton, Dr. Marigo Raftopoulos, Bob E. Hayes, Nige Willson, Emily M. Bender, Tarik ESSAADI, Carissa Véliz, Nando de Freitas 🏳️🌈
dataconomy.com
The history of machine learning
dataconomy.com
~13 min read · Apr 27th · Contrary to popular belief, the history of machine learning, which enables machines to learn tasks for which they are not specifically programmed, and train
Reader View · Shared by 142, including ipfconline 🇺🇦, AI, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Jim Marous 💯, Theodora (Theo) Lau - 劉䂀曼 🌻, Yves Mulkers, Dr. Sally Eaves #TechForGood #GartnerSummitEMEA, Brian Ahier, Harold Sinnott 📱📲 #SAPSapphireOrlando, Nicolas Babin #AmazonPartner
Aeon+Psyche
How machine learning can help historians decode ancient inscriptions
Aeon+Psyche
1 min read · May 2nd · How the deep neural network that can restore, date and place ancient texts is working to fill in the blanks of history
Shared by 66, including Larry G. Maguire 🇺🇦, Tactical Tech, Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem, Yves Mulkers
TNW
DeepMind's new Gato AI makes me fear humans will never achieve AGI
TNW
3 min read · May 13th · DeepMind just unveiled a new AI system called Gato that makes OpenAI's GPT-3 look like a child's toy. But are we any closer to AGI?
Summary · Reader View · Shared by 44, including Gerd Leonhard, Nige Willson, Dr. Marigo Raftopoulos, Nando de Freitas 🏳️🌈, Merkstatt, Bob E. Hayes, Marcus Borba
Data Science Central
Why Gato from Deepmind is a game changer
Data Science Central
2 min read · May 15th · This week, there was (yet another) game changing announcement from the folks at Deepmind named Gato Gato is a cool cat 🙂 It leads us closer on the road to AGI because Gato is a transformer model that…
Reader View · Shared by 34, including Ines Bieler, Dr. Craig Brown, Kirk Borne
The Gradient
Beyond Message Passing: a Physics-Inspired Paradigm for Graph Neural Networks
The Gradient
20+ min read · May 9th · On going beyond message-passing based graph neural networks with physics-inspired “continuous” learning models
Reader View · Shared by 12, including Dr. Marcell Vollmer 🇺🇦 #StaySafe & Carpe Diem
LessWrong
Why Agent Foundations? An Overly Abstract Explanation
LessWrong
8 min read · Mar 30th · Let’s say you’re relatively new to the field of AI alignment. You notice a certain cluster of people in the field who claim that no substantive progress is likely to be made on alignment without firs…
Reader View · Shared by 9
All-time favorites
machinelearnings.co
The Non-Technical Guide to Machine Learning & Artificial Intelligence
machinelearnings.co
20+ min read · From 2017 · Machine learning and artificial intelligence (ML and AI) have seized Tech mindshare in a way few topics have in recent memory.
Reader View · Shared by 5206, including Gabriele, Mike Ivars, Pete Skomoroch, Thomas Power, Brent Summers, Kris Fannin, Chris Messina, 👑Sir Lord Travis Wright, Web3 Speaker + #VeeCon, Klaus Eck, Frank Cieslik, Werner Vogels, Kenneth Kalmer, Harpreet Singh, Herbert Bay, DonDahlmann, Fabricio Teixeira, 🟣 Antonio Vieira Santos #FutureOfWork, Nils Hitze, Howard Getson, Tibor Martini 🇺🇦
r2d3.us
A visual introduction to machine learning
r2d3.us
5 min read · From 2015 · What is machine learning? See how it works with our animated data visualization.
Reader View · Shared by 2049, including Chris Messina, David Bauer, Stowe Boyd, Daniel Boos, Casey Smith, Rand Fishkin, Parin Vachhani, Kenneth Kalmer, Aleyda Solis 🇺🇦, hakan, Gideonro, Helen Yu, Thomas Power, Data Science Renee, Mike Tamir, PhD, Marck Vaisman, Mara Averick, hardmaru, designshard, David Luescher
OpenAI
DALL·E 2
OpenAI
1 min read · Apr 6th · DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.
Shared by 1222, including Sam Altman, Bob E. Hayes, Vincent Terrasi, David McCandless, John Nosta, Kevin Quealy, Nico Müller 🇺🇦, Peter van Sabben.eth, Ross Dawson, Tactical Tech, Sam Proud, Douglas Karr, Ilya Sutskever, Chris Messina, Christine McLeavey, Ines Bieler, Gabe, Joscha Bach, Josep M. Ganyet, Mark Tabladillo PhD
The Guardian
A robot wrote this entire article. Are you scared yet, human?
The Guardian
5 min read · 2020-09-08 · We asked GPT-3, OpenAI’s powerful new language generator, to write an essay for us from scratch. The assignment? To convince us robots come in peace
Reader View · Shared by 1012, including Nige Willson, Iain Brown, PhD, Mathieu von Rohr, Robin Wigglesworth, Joanna (J.F.) Penn, Michael Mina, Austin Kleon, Gary Marcus 🇺🇦, Evan Kirstel the $B2B Techfluencer, Rick King, Oliver Reichenstein, Yves Mulkers, Marc R Gagné MAPP 🍁, Mathew Ingram, emily bell, Taylor Lorenz, Nigel Warburton 🧡 #RejoinEU 🇺🇦, Guy Kawasaki, Jim Marous 💯, AI
The New York Times
The Great A.I. Awakening
The New York Times
From 2016 · Writing for The New York Times Magazine, Gideon Lewis-Kraus’s article breaks down a complex, multilayered story of artificial intelligence into an absorbing, detailed read. The story of Google Translate involves many prestigious players, who all worked together to create an impressively improved translation tool in far less time than originally expected. This is a tale of the meeting of many minds to create a single truly powerful artificial one that will have future uses beyond translating from one language to another.
Summary · Reader View · Shared by 961, including Chris Messina, Diogo Mónica, Kenneth Kalmer, Andy Weissman, Pete Skomoroch, Gideonro, Thomas Power, #bottish, Data Science Renee, Rachel Miller | #InfluencerMarketing, Christoph Magnussen, Jane, Mathew Ingram, Call Me ❝MICKEY❞, Howard Getson, Claudia Sommer, Fabricio Teixeira, Aleyda Solis 🇺🇦, Josep M. Ganyet, Stowe Boyd
freeCodeCamp.org
Want to know how Deep Learning works? Here’s a quick guide for everyone.
freeCodeCamp.org
6 min read · From 2017 · Artificial Intelligence (AI) and Machine Learning (ML) are some of the hottest topics right now.
Reader View · Shared by 921, including AlgoCompSynth by znmeb, Ines Bieler, Katja Evertz, Nicolas Berg, Andreas Heer, DonDahlmann, Mara Averick, Klaus Eck, Javi Cantón, FANZO 🧢 NFT 365 Podcast, Chris Roth, Ron McIntyre, von Moerenburgh, Dominik Grolimund, Patrick Scheuerer, Thomas Power, Helmi, Nettra Pan 🦇🔊, Herbert Bay, Massimiliano Aroffo
HackerNoon | Will NOT Insert LINKS in HN stories
Spotify’s Discover Weekly: How machine learning finds your new music
HackerNoon | Will NOT Insert LINKS in HN stories
9 min read · From 2017 · The science behind personalized music recommendations
Reader View · Shared by 896, including Chris Schultz ✌️, Howard Getson, Konrad Lischka, designshard, Mara Averick, elpocas, Joe Germuska, Helmi, 𝙉𝙞𝙘𝙤 𝙇𝙪𝙢𝙢𝙖, Dominik Grolimund, Danny Prol, Paulmears, Greg Meyer, David Smooke, Nando 💪🇦🇺🇦🇷, Eric L. Barnes, Michelle Ufford, Tris Hussey, FactorDaily, Thomas Power
MIT Sloan School of Management
Machine learning, explained
MIT Sloan School of Management
~12 min read · 2021-04-21 · Machine learning is a powerful form of artificial intelligence that is affecting every industry. Here’s what you need to know about its potential and limitations and how it’s being used.
Reader View · Shared by 734, including Andreas Staub, Bob E. Hayes, Evan Kirstel the $B2B Techfluencer, Terence Mills, Jim Marous 💯, Azeem Azhar, Damien de France 🌍 🕊️🇺🇦, AI, Garde Lecumberri, Carla Gentry, Iain Brown, PhD, MIT CSAIL, Chris Gledhill | gledhill.eth, Helen Yu, Nige Willson, Rob Tiffany #IoT #DigitalTwins, R.NFT R “Ray” Wang 王瑞光 #1A #Metaverse #Freedom, Theodora (Theo) Lau - 劉䂀曼 🌻, Ronald van Loon, Dr. Ganapathi Pulipaka 🇺🇸
Google Developers
Machine Learning Crash Course | Google Developers
Google Developers
1 min read · From 2018 · Educational resources for machine learning
Reader View · Shared by 722, including Dr. Ganapathi Pulipaka 🇺🇸, Daniel Bentes, Thomas Huhn, Rodrigo Prior, Mario Camou, Vincent Terrasi, Ricardo Yasuda, Maniteja Nandana, Yash Tekriwal, Victor Lee, Fabrizio Bianchi, Jay West, Marco Unternaehrer, Britney Muller 🇺🇦, Kirk Borne, Diego Paladino, Merkstatt, programarfacil.com, Ha Duong, Mark Kaigwa
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