the field has a long way to go, and big ideas yet to discover. we will stumble along the way, and learn a lot from contact with reality. it will sometimes be messy; we will sometimes make really bad decisions. we will sometimes have moments of transcendent progress and value.
INNOVATION
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ChatGPT capabilities debate exponential AI progress trajectory
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interesting to me how many of the ChatGPT takes are either "this is AGI" (obviously not close, lol) or "this approach can't really go that much further". trust the exponential. flat looking backwards, vertical looking forwards.
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Smartphone ultrasound AI transforms medical diagnosis in remote areas
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I once had abdominal pain and did a smartphone ultrasound to find that I had a dilated kidney/renal colic. Smartphone ultrasound imaging is now being done in remote parts of the world and someday will be commonplace everywhere https://
erictopol.substack.com/p/medical-self
ies
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AI Debate 3 Reaches 14,660 Attendees Push for 100,000
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AI DEBATE 3: Already 14,660 Attendees! Let's make HISTORY. Let's reach 100,000 attendees: Invite your LinkedIn network to #AGIDebate ! LinkedIn: https://
linkedin.com/events/aidebat
e3-thisisthe2021debateth6796651928362221568/
… #AGI #AIDebate #MontrealAI #WeAreAGI -
AGI Foundation Promotes Research into Artificial General Intelligence
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AGI Foundation "The AGI Foundation is a non-profit organization that promotes research into artificial general intelligence (AGI) and the ethical and responsible development of AGI technologies ( . . . )" – ChatGPT #AGI #AGIFoundation #AGIFirst
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5G Trailblazers France: Tech for Good and Sustainability
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It's #5GTrailBlazers – #France ! With #TechForGood across #Sustainability with #5G #Robotics & more! Au service de l'énergie et de la planète https://
bit.ly/3SWW9mq #SDGS #AI #EricssonAmbassador #ML #Innovation #IoT @EricssonFrance @domhalps @TechFranceAdv #Digital -
Foundation Models Double Every 2 Months Outpacing Moore’s Law
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Doubling every 2 years: Moore's Law
Doubling every 2 months: Foundation models https://
nature.com/articles/s4158
6-022-05340-6
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From deep to dendrocentric learning @Nature by @boahen_k -
Python Debugging Cheat Sheet Guide
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Python debugging cheat sheet. @HaroldSinnott @SourabhSKatoch
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Amazon SageMaker MLOps Tool Guide for Data Scientists
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Amazon Sagemaker Tool for MLOps: This article was published as a part of the Data Science Blogathon. Introduction Learning its tools is one way to start having a hands-on understanding of MLOps. Understanding the tools makes the concept more practical… https://
analyticsvidhya.com/blog/2022/11/a
mazon-sagemaker-tool-for-mlops/?utm_source=dlvr.it&utm_medium=twitter
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Robot Hand Grasping: Solving Decades-Old Challenge in Robotics
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“For decades, one of the hardest problems for robot developers to crack has been something seemingly mundane: how to replicate the human hand’s ability to pick up stuff…” @AmbiRobotics @RHRobotics @LocusRobotics @Amazon https://
science.org/doi/10.1126/sc
irobotics.abi9225
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