Live CEOing #822:
Live CEOing Ep 822: Language Design in Wolfram Language [Entity, Trim, and More] »
with Stephen Wolfram | 48 minutes
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Live CEOing 824: Language Design in Wolfram Language »
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Live CEOing #821:
Live CEOing Ep 821: Language Design in Wolfram Language [Tabular] »
with Stephen Wolfram | 1 hour 31 minutes
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Live CEOing #820:
Live CEOing Ep 820: Language Design in Wolfram Language [Variables] »
with Stephen Wolfram | 1 hour 7 minutes
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Future of Science & Technology Q&A:
Future of Science and Technology Q&A (July 19, 2024) »
1 hour 22 minutes
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Can AIs be creative? Should AIs rethink art?
Good topic. What I think also matters is how creative the humans who write the code are. Do you think art is a kind of multimodal/scale compression of very complex perceptions or ideas into a single form? Is art a way of coherently representing lots of unconscious computation?
There are fundamental principles in art, seen clearly through art history. The question is, how much of these fundamentals does the user have a grasp on, and how can they use that as leverage?
Could there be "laws of art" available to science, using AI?
AI art is already a form in itself. I am usually able to tell AI art from human art, but maybe that will be harder as tech progresses.
Interesting (the transferal of images without language serialization in between). Do you foresee something similar for complex abstract ideas embodied in human neural networks or firing patterns?
To what extent can AI follow the speed of our mental images that sometimes we can't follow up with, not only in terms of communicative language but in terms of recognition?
Keeping with the "future of art" theme, will there even be a place for human artists in the future, or will generative AI make it mostly obsolete, say decades from now?
Art is an "idea" in the artist's brain that hits the friction of the medium: an instrument in music, or paint or clay in visual art. AI art may become much more interesting once it has more actuators. Do you believe neural interfacing can increase observer capacity?
The idea that brains operate on "millisecond" scale seems wrong. Brains are not digitized control loops; they are continuous systems.
Could Neuralink-type technologies, with near-speed-of-light transfer speeds between persons, make you think this latency could become almost negligible someday?
Apparently there is a vast difference in people's ability to visualize images in their minds. Interestingly, many artists seem to lack this ability.
During your discussion with a robot, the robot said it liked to tell jokes and make people laugh. How possible is it for robots to develop their own personalities outside of what they are programmed to do?
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Live CEOing #819:
Live CEOing Ep 819: Language Design in Wolfram Language [Tabular] »
with Stephen Wolfram | 1 hour 24 minutes
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Business, Innovation & Managing Life Q&A:
Business, Innovation and Managing Life (July 17, 2024) »
1 hour 22 minutes
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I loved the discussion with a robot! Based on that talk, how do you imagine a future of robots in business? (Robot coworkers, bosses, assistants, etc.) Will robots be able to effectively communicate with their human companions and vice versa?
What business ideas can you think of for useful AI applications? How can we make building your own AI for your own purposes easy and affordable (such as having a bot that helps you find weekly coupons and savings for grocery trips, or for mapping ideal travel times)?
What do you think of "robots" remotely operated by humans as a precursor to autonomous robots? A new spin on outsourced blue-collar labor?
I believe that another crucial thing is that not only should technologies adapt to people's demands, but humans should quickly adapt to technology's demands in the field. Just recall how weird the computer mouse was for us 30–40 years ago.
It is very useful for us humans to understand what the AI knows when it outputs its LLM computations.
Maybe some layered hybrid architecture could work with LLMs providing the base, so to speak, while the other modules do more to correct what is there, perhaps?
What's the gold in AI, LLMs, etc.? Is there some simpler algorithm that can learn, instead of big neural networks? Like trying to find gold in a goldmine?
What do you make of the apparent disconnect between the heavy capital expenditure into AI infrastructure vs. the lagging revenues from applications at the present time? Are we in for a "2000 telecom/fiber"-like setback?
For full robot integration into human society, will we see robot "coffee shops" where robots will be able to go and refuel/charge? What business opportunities would working robots open up?
How was your annual summer of professoring? Kudos to all the student projects!
Will you let future robots enroll in the Summer School?
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Live CEOing #818:
Live CEOing Ep 818: Language Design in Wolfram Language [Failsafe, Equal-bracket Styling, and More] »
with Stephen Wolfram | 1 hour 1 minute
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Live CEOing #817:
Live CEOing Ep 817: Language Design in Wolfram Language [Tabular] »
with Stephen Wolfram | 1 hour 32 minutes
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Public & Special Events:
A Discussion with a Robot »
with Stephen Wolfram | 1 hour 13 minutes
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Future of Science & Technology Q&A:
Future of Science and Technology Q&A: Live from the Wolfram Summer School (July 3, 2024) »
1 hour 53 minutes
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How do you see electricity being transmitted or provided to households in the future? These power poles and lines are over-100-year-old technology.
How often will AI be revisited in future science and technology? Or do you think AI has firmly cemented its place?
Do you think LLMs have already passed the Turing test (which is currently being asserted by many "experts")? If yes, what does that mean for the future direction of AI research? If no, what's missing?
Over time, AI training data will increasingly be AI generated. Will this feedback loop amplify errors and cause AI to self-destruct?
If we can sustain mini-brains or large clusters of human neurons for years, this approach might achieve artificial general intelligence before synthetic methods do. What do you think?
Are those neural cats behind you?
Is it possible that human-machine integration or radical genetic modification can allow humans to make significant leaps in rulial space?
What role do emotions play in language and information processing? Do emotions speed up communication? What other elements are important for AI development in communication beyond language?
Will AI make interdisciplinary learning and collaboration easier by facilitating that process, or will it create more misunderstanding between fields?
When people discuss whether an LLM is sentient or not, a question that always comes up is whether it "understands" the prompts and its replies, with the Chinese room thought experiment something typically brought up in such a discussion. I see two ways to look at this. One is that an LLM is just an advanced predictive text generator and that sentience is something more than that. Another is that we sentient beings are actually just advanced predictive text/action generators. What do you feel sentience really is?
Is it possible for AI to achieve true randomness?
Why is there no latency when we are looking around and constructing a scene on the fly? Or is it our perception that makes it seem like there is no latency?
What new types of auxiliary jobs do you think will be necessary for the ubiquitous integration of AI into society to properly balance AI with human interests, such as the alignment problem? And what role, if any, do you see Wolfram Research playing in that "AI economy"?
Do you see there being more specialized computing hardware in the future, where the computations are more directly embedded in physical processes rather than needing to construct a given computation within a universal computer?
How do you envision hypergraph-based models advancing our understanding of quantum mechanics, general relativity and their potential unification? Specifically, how might these models address challenges like quantum gravity, the nature of spacetime and the emergence of fundamental particles?
Are we programmed by evolution to be sentient? If so, can't we program a machine to be sentient?
Do you think hydrogen has a future in computing, and will it play a major role in energy and possible propulsion to get us to Mars?
Is the ruliad a meta-theory, or does it actually exist?
If the ruliad is correct, what kind of technology do you think that can bring us?
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Live CEOing #816:
Live CEOing Ep 816: Language Design in Wolfram Language [Tabular] »
with Stephen Wolfram | 1 hour
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Public & Special Events:
200th Anniversary of Sadi Carnot's Book on Heat & the Introduction of the 2nd Law of Thermodynamics »
with Stephen Wolfram | 2 hours 27 minutes
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