improving health & care / patient safety / useful AI/ML / physician, data scientist, public health / CQO @OneMedical / ex-Stanford doc, Harvard/MIT alum
To be clear, I've never claimed that solving ARC was equivalent to solving AGI. The first ARC solver is not going to be an AGI (I already stated this all the way back in 2019).
The claim is simply that:
1. Until we solve ARC, we don't have AGI, since the AIs we have cannot adapt to simple tasks they haven't seen before.
2. Solving ARC will require figuring out how to make AI systems adapt on the fly to novels tasks, and this should be a major milestone on the way to AGI.
The purpose of ARC is to get researchers to refocus on intelligence (adaptation to novelty, generalization), away from pure memorization, because I believe this is how we'll get to AGI.
The use of artificial intelligence (AI) in health care has seen remarkable growth in the past 5 years.
A Review in @LancetDigitalH examines the potential of AI to improve care management and identifies areas for further research: https://t.co/Vvlrz48wRi
Watch "Endless experimentation: Building AI models in the wild."
This is a 50-minute, MIT lecture about problems when deploying models and LLMs in the real world and how to prepare to solve them.
This is a great lecture for those building production machine learning.
Thank you so much @ToppingsEdin for such a wonderful book event tonight! Absolutely loved talking about FIGHTING FOR LIFE with such an interesting audience.
Thank you so much @ToppingsEdin for such a wonderful book event tonight! Absolutely loved talking about FIGHTING FOR LIFE with such an interesting audience.
It was very stimulating to talk about Reimagining Primary Care with the International Harkness Fellows The Commonwealth Fund The Harkness Fellows Association
There is much we can learn from each other about what is working and what is not working in #hea…https://t.co/035e0G2cFT
Thrilled to see the work of our team and our providers result in such meaningful health outcomes for our members!
Hemalee Patel Taleen Petrosian Phebe Dodyk Kiryk, RN, MSN, CPNP One Medical #primarycare#healthequity https://t.co/TgBjvZPJeO
Nice work. CAC score is an important piece of our heart disease risk stratification protocol. Not surprisingly, there’s subclinical atherosclerosis that might go undetected without selective use of tools like this #CardioSmart#primarycare One Medical https://t.co/MWlwIKBq3q
Excited to see the work of our clinical design lab and Impact program in action! Fully integrated in primary care, this is one more example of One Medical not just managing but preventing chronic conditions #primarycare Hemalee Patel https://t.co/kjVqPRBRgb
It was wonderful to host you @bmcc_oz and Robert Read and learn about the exciting work you are doing at Amplar Health and Medibank
#primarycare https://t.co/Lzy7S86BjD
Most of the cardiometabolic conditions like diabetes, heart disease are largely preventable with robust primary care and a modernized public health infrastructure. Thanks for authoring and sharing Reginald D. Williams II https://t.co/np9nWk7tFk
It was a privilege to host The Commonwealth Fund international Harkness Fellows and share our approach to advanced #primarycare and better health outcomes while reducing costs at One Medical.
Very stimulating exchanges on shared challenges in human-cent…https://t.co/b8hAg6e7Wy
@MikeTamir Lot of the healthcare data are unlabeled. Using high-contrast expert labeling of small subset of data can be useful for semi supervised learning, and then using an approach like FixMatch #DataScience#MachineLearning#healthcare