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AI+ NOW AND THEN
How Did We Get Here And Where Are We Going
Philip E. Bourne February 21, 2024, Leadership Meeeting
THE STUDENTS HAVE
SPOKEN
– Its here, it’s a tool
– A tool like never before
– How to relate to the honor code
– Don’t get caught up in the hype
– Wish professors knew more
– Want to know more about the
implications
HOW DID WE GET HERE?
– AI consumes data of all types: 90%
of the worlds data was generated in
the last 2 years
– Improved computer technology
– Breakthroughs in algorithms and
hence software providing persistent
models
A zetabyte is 1012 gigabytes
CONSIDER OUR FAVORITE
EXAMPLE -
– ChatGPT is one of many forms of AI – A Large Language
Model
– ”G” generative – ability to generate language,
images, video, code …
– “P” pre-trained – unsupervised learning on vast
amounts of content
– The training is done by neural networks that mimic
the brain – learning by adjusting weights of each
“neuron/node). Training stops when the right result is
achieved. That network is then a model that can
produce {mostly} the right answer from data it has
never seen before
– ”T” Transformers allow for parallel computation and
treats text etc. as tokens
ChatGPT
WHERE ARE WE HEADED?
The current deep neural networks are
equivalent to a rice grained size of the
cerebral cortex and we are yet to explore
most other aspects of brain morphology
Terry Sejnowski https://www.pnas.org/doi/full/10.1073/pnas.1907373117
What Does This Mean in
Practical Terms with AI+
LEARNING
A History Major
1817
RESEARCH
A Biomedical Researcher
The Holy Grail of Molecular Biology
Food production
Energy production
Drugs …
– Achieved by DeepMind (a Google
spin off) not academia
– 30 interdisciplinary scientists
working together not competing
– Compute power beyond a
university
THREATS
OPPORTUNITIES
Creating new but different industries
How Disruptive Will It Be?
THE 6 D’S (PETER DIAMANDIS)
Digitization
Disruption
Demonetization
Dematerialization
Democratization
Time
Volume,
Velocity,
Variety
Digital media becomes bona fide
form of communication
Deception
KODAK – A 6D’S CASE STUDY
Digital media becomes bona fide
form of communication
WILL HISTORY REPEATS ITSELF?
HIGHER EDUCATION
Digitization
Deception
Disruption
Demonetization
Dematerialization
Democratization
Time
Volume,
Velocity,
Variety
AI impact minimal
Models reach human capacity
Augmented reality, sensors
Quantum computing
Digital media becomes bona fide
form of communication
Learning modalities change
Knowledge workers must adapt
job market shifts
Robotics
Research practice changes
THANK YOU
Philip E. Bourne February 21, 2024, Leadership Meeeting
TWO DIFFERENT FUTURES ACCORDING
TO DALL-E

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AI+ Now and Then How Did We Get Here And Where Are We Going

  • 1. AI+ NOW AND THEN How Did We Get Here And Where Are We Going Philip E. Bourne February 21, 2024, Leadership Meeeting
  • 2. THE STUDENTS HAVE SPOKEN – Its here, it’s a tool – A tool like never before – How to relate to the honor code – Don’t get caught up in the hype – Wish professors knew more – Want to know more about the implications
  • 3. HOW DID WE GET HERE? – AI consumes data of all types: 90% of the worlds data was generated in the last 2 years – Improved computer technology – Breakthroughs in algorithms and hence software providing persistent models A zetabyte is 1012 gigabytes
  • 4. CONSIDER OUR FAVORITE EXAMPLE - – ChatGPT is one of many forms of AI – A Large Language Model – ”G” generative – ability to generate language, images, video, code … – “P” pre-trained – unsupervised learning on vast amounts of content – The training is done by neural networks that mimic the brain – learning by adjusting weights of each “neuron/node). Training stops when the right result is achieved. That network is then a model that can produce {mostly} the right answer from data it has never seen before – ”T” Transformers allow for parallel computation and treats text etc. as tokens ChatGPT
  • 5. WHERE ARE WE HEADED? The current deep neural networks are equivalent to a rice grained size of the cerebral cortex and we are yet to explore most other aspects of brain morphology Terry Sejnowski https://www.pnas.org/doi/full/10.1073/pnas.1907373117
  • 6. What Does This Mean in Practical Terms with AI+
  • 8. RESEARCH A Biomedical Researcher The Holy Grail of Molecular Biology Food production Energy production Drugs … – Achieved by DeepMind (a Google spin off) not academia – 30 interdisciplinary scientists working together not competing – Compute power beyond a university
  • 11. THE 6 D’S (PETER DIAMANDIS) Digitization Disruption Demonetization Dematerialization Democratization Time Volume, Velocity, Variety Digital media becomes bona fide form of communication Deception
  • 12. KODAK – A 6D’S CASE STUDY Digital media becomes bona fide form of communication
  • 13. WILL HISTORY REPEATS ITSELF? HIGHER EDUCATION Digitization Deception Disruption Demonetization Dematerialization Democratization Time Volume, Velocity, Variety AI impact minimal Models reach human capacity Augmented reality, sensors Quantum computing Digital media becomes bona fide form of communication Learning modalities change Knowledge workers must adapt job market shifts Robotics Research practice changes
  • 14. THANK YOU Philip E. Bourne February 21, 2024, Leadership Meeeting
  • 15. TWO DIFFERENT FUTURES ACCORDING TO DALL-E

Notas del editor

  1. Cornerstone image generated with DALL-E OpenAI – Sora example creating video
  2. Demis Hassabis and John Jumper winners of 2023 Lasker Award Basic Biomedical Research