Eric Drexler discusses the progress in Artificial Intelligence and Deep learning
- a few years ago a Deep Learning network was 5 layers deep,
- In 2014, the Google Image categorization network was 22 layers deep
- In 2015, a new approach to information flow enables deep learning networks 200 layers deep
A specialized AI can be used to recursively improve the design of artificial intelligence
The AI software is not as software as we knew it. Here is a mathematical description describing the behavior and memory.
They are spontaneously organized patterns that are emperically engineered.
Eric argues we are being to anthropomorphic about our analysis of AI and AI risks.
Eric thinks we can develop superintelligence without using or creating AI agents.
Eric discusses constraint by construction.
Provide specialist AI only the information that they need for the tasks.
Use an architecture of specialized pieces.
Then think of using superintelligent tools
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.