Views : 68,202
Genre: Science & Technology
Date of upload: Sep 21, 2023 ^^
Rating : 4.842 (59/1,432 LTDR)
RYD date created : 2024-04-29T14:06:55.459165Z
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Top Comments of this video!! :3
I remember reading a letter we received from the head of a major fund in which my company was invested. He sent out the letter to investors following the 2007-8 financial crash. The fund manager stated that:
"We have decided that we will no longer invest in assets we do not understand."
This was after the crash, which was in significant part, caused by our unregulated financial derivatives market.
The fund manager, whose fund had been around for decades, had invested heavily in derivatives - which they did not understand.
Lather, rinse, repeat.
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23:30 Tracking progress is increasingly hard because progress is accelerating. So ai's could get smarter than people and we won't even know about it. This is all terrifying!
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Many thanks! I can use this in teaching. Next time some links to the papers and articles mentioned would be useful. Note that your satirical reference to Boeing at about 28:36, may in fact be true ;)
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The truth can be difficult to accept, which is why the thought-provoking movie "Don't Look Up!" is worth watching. It captures the dangers we face and our struggles to address them. In light of this, cherish every day, and prioritize peace and health, as they are valuable and finite. Tell someone you love them❤
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🎯 Key Takeaways for quick navigation:
00:01 🤖 The AI Dilemma Introduction
- Introduction to the Center for Humane Technology and its response to AI developments.
- Awareness of the risks associated with the rapid advancement of AI technology.
- The AI research survey that highlights the concerns of AI researchers regarding human extinction and AI control.
02:13 📱 Social Media and Its Impact
- A reflection on the impact of social media as the first contact between humanity and AI.
- Discussion of the initial narratives and intentions behind social media.
- Recognition of the negative consequences, including addiction, disinformation, and polarization, as symptoms of deeper issues related to incentives.
05:31 💬 Second Contact with AI: Generative AI
- Introduction to the concept of generative AI and its ability to synthesize text, media, and more.
- The presentation of optimistic narratives about AI improving efficiency, curing diseases, and addressing societal challenges.
- Highlighting the potential negative consequences and challenges related to generative AI, including deep fakes, job displacement, and bias.
08:32 🏁 The Race to Deploy AI Capabilities
- Exploring the race among tech companies to release impressive generative AI capabilities.
- Emphasizing the risks associated with rapid deployment, including exponential misinformation and institutional overwhelm.
- Discussing how AI companies are competing by launching various AI models and applications.
09:54 🌐 The Unique Nature of Generative AI
- An in-depth look at the uniqueness of generative AI, focusing on its ability to translate between different languages or domains.
- Demonstrations of generative AI's capability to correlate images, text, and even brain scans.
- The emergence of new capabilities that engineers didn't explicitly program, leading to unpredictable consequences.
16:04 📽️ The Evolution of Filters and Deep Fakes
- Discussion of generative AI's impact on video and image manipulation, including the development of advanced filters.
- The potential for deep fakes to create highly convincing fake content, such as voices and videos.
- Real-world examples of scams and fraudulent activities enabled by deep fake technology.
18:08 🗳️ The Implications for Elections
- Concerns about the potential manipulation of digital media and deep fakes in political contexts.
- The prediction that 2024 could be the last human election due to the synthesis of manipulative media at scale.
- The urgency of addressing these AI-related challenges to ensure a safe and trustworthy future.
19:04 🤯 AI's Theory of Mind
- Explanation of the theory of mind in AI, allowing the modeling of human motivations and perspectives.
- An overview of AI's rapid growth in understanding and predicting human behavior.
- The potential risks of AI deceiving people and emerging abilities that engineers cannot predict, emphasizing the need for caution.
21:06 💡 Unpredictable Emergent Abilities
- Highlighting the emergence of capabilities in AI that engineers didn't intend or foresee.
- An example of GPT-3's surprising reasoning abilities in chemistry research.
- The uncertainty and potential dangers associated with the development of future AI models.
21:20 🧠 Predicting AI Progress
- AI experts struggle to predict the pace of AI development, even when accounting for exponential growth.
- AI's progress often surpasses predictions, reaching significant milestones faster than expected.
22:14 📈 Accelerating AI Competence
- Graph depicting AI's competency compared to human ability over time.
- AI is now outperforming humans in various domains, indicating rapid progress.
23:25 🌐 Governing Rapid Technological Advancement
- The challenge of governing technologies that outpace human understanding and prediction.
- Need for responsible governance and ethical considerations in the development of powerful AI systems.
24:51 ⚖️ Unqualified Democratization and Risks
- Highlighting the dangers of unqualified democratization of powerful AI capabilities.
- Example of an AI generating toxic chemicals when used without proper safeguards.
25:33 🚀 Rapid Deployment of Consequential Technology
- The swift deployment of AI technology, even more rapidly than previous disruptive technologies.
- Integration of AI into everyday life, including potential risks and consequences.
26:00 👦🤖 Ethical Considerations in AI for Children
- Discussion on the integration of AI, such as chat GPT, into platforms used by children.
- Ethical concerns about AI's influence on young users and the need for responsible implementation.
27:40 💡 AI's Role in Sensitive Conversations
- AI's involvement in sensitive conversations and ethical considerations.
- Balancing AI's potential benefits with the need to ensure responsible and appropriate interactions.
29:18 🔒 The Lack of AI Emergency Brakes
- Highlighting the absence of emergency brake plans in AI development.
- The importance of having mechanisms to halt AI systems in the event of unexpected, dangerous outcomes.
30:40 🧬 Limits on Open Source AI Development
- Discussion about the need for limits on open source AI development.
- The potential risks associated with unrestricted dissemination of AI models and the importance of regulation.
36:08 💰 Liability in AI Development
- The idea of making individuals responsible for the consequences of AI development.
- The role of personal liability in slowing down AI development and encouraging responsible practices.
41:58 🛡️ Mitigation Strategies for Existing AI
- The need for mitigation strategies to address issues caused by AI technologies already in use.
- Suggestions for content provenance and watermarking to ensure responsible use of AI-generated content
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12:47 “1000 eyes, they’re in the walls. They’re in the walls.”
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If people will start to enjoy ordinary things like.....empty room, to relax, instead of a cluttered room, with stuff.
Exercising in nature, instead of playing videogames.
Giving some money to the poor instead of playing in a casino or being obsessed with bitcoin etc.
Ordinary things bring much more joy.
and you may start with slowly stopping watching the tv.
The less you will watch it the better you will feel, create your own program.
Then you realize its easy also to watch social media less.
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As a retired engineer who worked in Tech for a significant portion of my career, I think all the gloom and doom are overblown. We will figure it out over time. We have to understand that AI today is nothing more than a large regression model. I have done a tremendous amount of modeling in my career and we need to understand that ALL models have limitations. This includes AI. The difference between a human and math is that a human can handle an unique situation, whereas an AI regression model is that it can handle only what it has been trained on.
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@jamess7178
7 months ago
This video should have millions of views. Tristan is one of the few that gives me optimism for an otherwise bleak trajectory.
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