AI is Biology's next Mathematics, only better
It is beyond any reasonable doubt that machine learning (ML), particularly deep learning (DL), harbors immense expressive power to learn any input-output mapping. ML/DL/AI models are becoming general-purpose tools for all application domains with ample supplies of data. The road ahead appears bright and clear—we need only to wield the “AI hammer” and strike every nail in our path. Now, let’s get the “snail”.
Enjoy Reading This Article?
Here are some more articles you might like to read next:
- AGI is the path to freedom from intellectual labor
- Special relativity of superintelligence
- Training an agent that outgrows you is a false proposition
- AI in mathematics may be less like a calculator and more like a tractor
- What should students learn in the AI era?
- When AI is a better prover, perhaps our most important job is deciding what is worth proving.
- The AI Safety Paradox
- Double descent, grokking, enlightenment, wisdom, aging, ...
- Structure of Intelligence
- Makeshift Operation
giscus comments misconfigured
Please follow instructions at http://giscus.app and update your giscus configuration.
Missing required keys:
repo_id, category_id.