Nowadays most of the success in AI is really machine learning or "narrow" artificial intelligence, not general purpose AI. But while it is easy to dismiss narrow AI and believe in our own superiority, AI that can beat humans at different domains has enormous implications. At one point, instead of training AI, we won't be needed.
Bayesian method states that you can learn any problem as long as you had a starting probability and enough cycles to update the probabilities.
Our Intelligence, as computers and AI is based on error correction and refinement of hypotheses through iterations.
363
1.17K reads
CURATED FROM
IDEAS CURATED BY
Business Administration and Management Student | Blockchain, DEFI & Web3 | Social Worker | "Fix the money & fix the world."
In this brilliant book, Jeff Booth explains his vision of the near future with the influence of technology on it.
β
The idea is part of this collection:
Learn more about technologyandthefuture with this collection
How to create a diversified portfolio
How to analyze stocks and bonds
Understanding the basics of investing
Related collections
Read & Learn
20x Faster
without
deepstash
with
deepstash
with
deepstash
Personalized microlearning
β
100+ Learning Journeys
β
Access to 200,000+ ideas
β
Access to the mobile app
β
Unlimited idea saving
β
β
Unlimited history
β
β
Unlimited listening to ideas
β
β
Downloading & offline access
β
β
Supercharge your mind with one idea per day
Enter your email and spend 1 minute every day to learn something new.
I agree to receive email updates