The amount that people in AI have to read and stay up to date on (I don’t mean people interested in AI, I mean people dedicating their entire career to its development)… I just – My brain feels hot at the end of each day. That’s how much it is to take in. Every day.
RESEARCH
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Understanding Technology History as Continuous Knowledge Revolution
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the proper way to understand the history of technology is not four separate technological revolutions but a single big continuous revolution enabled by the ability, and the desire, to figure things out and to compound that knowledge
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ChatGPT as Benchmark: Language Precision for Conversational AI Systems
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Good point! Super interesting to see ChatGPT become the new benchmark. It'll be challenging but important to find the right language moving forward when talking about new conversational systems – in a way that doesn't conflate those aspiring to be ChatGPT with ChatGPT equivalents
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Oxford’s RealFusion Enables 360° Object Reconstruction from Single Images
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Oxford U Presents RealFusion: 360° Reconstructions of Any Object from a Single Image
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AI as a Medium: Future Capabilities Depend on Human Engineering
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"What will {AI | computers} be able to do in the future?" Well, absolutely anything you can make them do. They're a medium, not a specific technique. And the capabilities of both are 100% dependent on the human engineers that make them do those things.
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AI is too vague a term like computers
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Talking about "AI" in the abstract is a bit like talking about "computers" — it could mean anything.
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DeepMind Welcomes Jeff Clune to Research Team
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Thrilled to welcome @jeffclune to @DeepMind – we've long admired Jeff's brilliant work, and we're very excited to finally be getting the chance to work together!
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Scaled Q-Learning: Offline Reinforcement Learning Pre-Training Method
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Presenting Scaled Q-Learning, a pre-training method for scaled offline #ReinforcementLearning that builds on the conservative Q-learning algorithm and enables efficient offline RL for multi-task training. Learn more → https://t.co/1lsHWcZFVM pic.twitter.com/aDq25su7V2
— Google AI (@GoogleAI) 23 février 2023Presenting Scaled Q-Learning, a pre-training method for scaled offline #ReinforcementLearning that builds on the conservative Q-learning algorithm and enables efficient offline RL for multi-task training. Learn more → https://
goo.gle/3XYA6hh -
AI and ML Healthcare Applications: Medical Imaging and Generative Models
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Part 8 is out, posted by @greg_corrado & @ymatias on behalf of many, covering our work on AI and ML for healthcare-related applications, including medical imaging, ML in mobile healthcare settings, & the use of generative models like LLMs.