SYLLABUS (6/6/23)
SESSION 1:The Dangerous Rise of AI- We Are in BIG Trouble (42 m) highlights most of its comments on Elon Musk as an AI authority, such as ChatGPT.
Doug found this video as a reason to worry about AI, even though I think that YouTube is somewhat exaggerated, but it is not out of the realm of possibilities.
- CBS 60 Minutes - The AI Revolution (27 m)
We may view our time as the moment civilization changed. In 2023, we learned about a machine that taught itself.
READING:
- From Stephen Hawking in an interview with Wired (November 2017). 'I fear AI may replace humans altogether'The genie is out of the bottle. We need to move forward on artificial intelligence development, but we also need to be mindful of its very real dangers. I fear that AI may replace humans altogether. If people design computer viruses, someone will design AI that replicates itself. This will be a new form of life that will outperform humans.
- Elon Musk and several other technologists call for a pause on the training of AI systems
More than 1,000 concerned critics of artificial intelligence, ranging from industry executives and academics to tech specialists, have signed an open letter calling for at least a six-month pause on extensive, open experiments with the technology.
- Should We Ban AI (Skeptic Society). Previous file fixed.
Michael Shermer and physicist, science fiction author, and AI expert David Brin discuss:
What are AI and AGI? The alignment problem, Large Language Models, ChatGPT, GPT-4, GPT-5, and beyond, The Future of Life Institute’s Open Letter calling for a pause on “giant AI experiments”, Time OpEd: “Shut it All Down”, etc.
ALTERNATE VIDEO:
- Bill Gates on AI and the rapidly evolving future of computing (55 m)- 1:59 – unveiling of GPT-4.0 outside of OpenAI in August/September 2022
- 3:35 – Bill recounts a short history of AI
- 5:43 – Bill’s challenge for OpenAI to get his attention
- 9:05 – Bill proclaiming GPT-4.0 is a fundamental change despite its shortcomings
- 9:43 – GPT-4.0’s shortcomings
- 10:18 – shortcoming 1) sense of context
- 11:26 – shortcoming 2) math, its greatest weakness
- 13:20 – Bill’s belief that the shortcomings are not fundamental and will be fixed
- 14:23 – Kevin and Bill talk about examples where GPT-4.0 excels
- 18:28 – Bill’s musings on this generation of AI’s impact on society
- 23:43 – Kevin’s musings on the bar being lowered to communicate with computers
- 25:08 – Bill’s musings on writing computer programs with natural language
- 27:27 – AI and the Gates Foundation. AI’s impact on education and health
- 33:33 – how Xerox PARC influenced Microsoft in 1979
- 38:34 – moving AI compute from servers to self-contained devices
- 39:43 – one general AI model or multiple specialized AI models?
- 40:43 – scaling up the models to use all known corpuses and synthetic data
- 45:35 – what would a young Bill Gates work on in this day and age?
- 50:45 – how much does Bill Gates actually read?
READING:
- Scientists Made a Mind-Bending Discovery About How AI Actually Works
For a while now, machine learning experts and scientists have noticed something strange about large language models; they are inexplicably good at carrying out tasks that they haven’t been specifically trained to perform.
This video was excellent, explaining how they networked multiple models to mimic the process a child undergoes as it learns. It provides a deeper understanding of learning, neuroscience, and addiction.
- B - Introduction to Generative AL (22 m)
What is Generative AI, and how does it work? What are typical applications for Generative AI? Watch this video to learn all about Generative AI, including typical applications, model types, and the fundamentals for how to use it
READING:
- The inside story of how ChatGPT was built from the people who made it
When OpenAI launched ChatGPT, with zero fanfare, in late November 2022, the San Francisco–based artificial-intelligence company had few expectations. Certainly, nobody inside OpenAI was prepared for a viral mega-hit. The firm has been scrambling to catch up—and capitalize on its success—ever since.
OpenAI is an American artificial intelligence research laboratory that conducts AI research with the declared intention of promoting and developing a friendly AI. OpenAI systems run on the fifth most powerful supercomputer in the world. The organization was founded in 2015 by Sam Altman, Reid Hoffman, Jessica Livingston, Elon Musk, Ilya Sutskever, Peter Thiel, and others, who collectively pledged US$1 billion. Musk resigned in 2018 but remained a donor and eventually committed US$100 million. Microsoft provided OpenAI LP with a $1 billion investment in 2019 and a second, multi-year investment in January 2023, reportedly valued at $10 billion.
Dr. Steven Wolfram is a renowned polymath who has made significant contributions to the fields of physics, computer science, and mathematics. He became the youngest recipient of the prestigious MacArthur Fellowship at the age of 21.
In 2009, Wolfram created Wolfram Alpha, a computational knowledge engine utilized by millions of users worldwide. As an influential thinker, he has dedicated his life to unraveling the mysteries of the universe and making computation accessible to all.
- [00:00] Intro
- [02:57] Big announcement! Wolfram + ChatGPT!
- [05:33] What does it mean to understand?
- [13:48] Feeding information back into the model
- [20:09] Semantics and cognitive categories
- [23:50] Navigating the ruliad
- [31:39] Computational irreducibility
- [38:43] Conceivability and interestingness
- [43:43] Human intelligible sciences
