Apply for the Affine Superintelligence Alignment Seminar #shorts

Robert Miles AI Safety · Intermediate ·🛡️ AI Safety & Ethics ·3mo ago

Key Takeaways

The Affine Superintelligence Alignment Seminar aims to develop a principled theoretical understanding of intelligence and agency to align superhuman AI systems with human interests, applying concepts from AI safety and superintelligence research.

Full Transcript

Sooner or later, and I don't know, it's looking like maybe sooner, there will be AI systems that are more capable than all of humanity. It would be nice if before that happened, we developed a principled theoretical understanding of how intelligence and agency work that would allow us to be confident that those superhuman AI systems would be aligned with our interests and wouldn't end up just killing everyone. You would think that a lot of people would be working on that, but it's just an extremely technically difficult problem. Most researchers tend to decide that it's too hard and instead choose to work on easier problems with better empirical feedback loops. Or they decide there's not enough time and the best thing to do is push for an international treaty to prevent anyone building super intelligent AI until we can get some kind of handle on what the hell we're doing. And maybe we'll get lucky and AI will solve the hard problems of super intelligence alignment for us. But I really wouldn't bet everyone's lives on that. And either way, we still need people who understand this stuff thoroughly so we know what questions to ask the research AIS and how to understand the answers. If you want to help, the Aphine seminar is trying to get more people up to speed on the problem. It's running from the 28th of April to the 28th of May in our retreat center in the Czech countryside. Applications close very soon, so apply even sooner. Here's the address.

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Predicting AI: RIP Prof. Hubert Dreyfus
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2 Respectability
Respectability
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3 Are AI Risks like Nuclear Risks?
Are AI Risks like Nuclear Risks?
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4 Avoiding Negative Side Effects: Concrete Problems in AI Safety part 1
Avoiding Negative Side Effects: Concrete Problems in AI Safety part 1
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5 Avoiding Positive Side Effects: Concrete Problems in AI Safety part 1.5
Avoiding Positive Side Effects: Concrete Problems in AI Safety part 1.5
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6 Empowerment: Concrete Problems in AI Safety part 2
Empowerment: Concrete Problems in AI Safety part 2
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Why Not Just: Raise AI Like Kids?
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8 Reward Hacking: Concrete Problems in AI Safety Part 3
Reward Hacking: Concrete Problems in AI Safety Part 3
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The other "Killer Robot Arms Race" Elon Musk should worry about
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10 Reward Hacking Reloaded: Concrete Problems in AI Safety Part 3.5
Reward Hacking Reloaded: Concrete Problems in AI Safety Part 3.5
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11 What Can We Do About Reward Hacking?: Concrete Problems in AI Safety Part 4
What Can We Do About Reward Hacking?: Concrete Problems in AI Safety Part 4
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12 What can AGI do? I/O and Speed
What can AGI do? I/O and Speed
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AI Safety at EAGlobal2017 Conference
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15 Scalable Supervision: Concrete Problems in AI Safety Part 5
Scalable Supervision: Concrete Problems in AI Safety Part 5
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16 Superintelligence Mod for Civilization V
Superintelligence Mod for Civilization V
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17 Why Would AI Want to do Bad Things? Instrumental Convergence
Why Would AI Want to do Bad Things? Instrumental Convergence
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18 Experts' Predictions about the Future of AI
Experts' Predictions about the Future of AI
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19 AI Safety Gridworlds
AI Safety Gridworlds
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20 Friend or Foe? AI Safety Gridworlds extra bit
Friend or Foe? AI Safety Gridworlds extra bit
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21 Safe Exploration: Concrete Problems in AI Safety Part 6
Safe Exploration: Concrete Problems in AI Safety Part 6
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22 Why Not Just: Think of AGI Like a Corporation?
Why Not Just: Think of AGI Like a Corporation?
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23 How to Keep Improving When You're Better Than Any Teacher - Iterated Distillation and Amplification
How to Keep Improving When You're Better Than Any Teacher - Iterated Distillation and Amplification
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24 Is AI Safety a Pascal's Mugging?
Is AI Safety a Pascal's Mugging?
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25 AI That Doesn't Try Too Hard - Maximizers and Satisficers
AI That Doesn't Try Too Hard - Maximizers and Satisficers
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26 Training AI Without Writing A Reward Function, with Reward Modelling
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27 9 Examples of Specification Gaming
9 Examples of Specification Gaming
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28 10 Reasons to Ignore AI Safety
10 Reasons to Ignore AI Safety
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29 Sharing the Benefits of AI: The Windfall Clause
Sharing the Benefits of AI: The Windfall Clause
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30 Quantilizers: AI That Doesn't Try Too Hard
Quantilizers: AI That Doesn't Try Too Hard
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31 The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment
The OTHER AI Alignment Problem: Mesa-Optimizers and Inner Alignment
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32 Deceptive Misaligned Mesa-Optimisers? It's More Likely Than You Think...
Deceptive Misaligned Mesa-Optimisers? It's More Likely Than You Think...
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33 Intro to AI Safety, Remastered
Intro to AI Safety, Remastered
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34 We Were Right! Real Inner Misalignment
We Were Right! Real Inner Misalignment
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35 Apply to AI Safety Camp! #shorts
Apply to AI Safety Camp! #shorts
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36 Win $50k for Solving a Single AI Problem? #Shorts
Win $50k for Solving a Single AI Problem? #Shorts
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Free ML Bootcamp for Alignment #shorts
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38 Apply Now for a Paid Residency on Interpretability #short
Apply Now for a Paid Residency on Interpretability #short
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Why Does AI Lie, and What Can We Do About It?
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Apply to Study AI Safety Now! #shorts
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AI Ruined My Year
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Learn AI Safety at MATS #shorts
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Using Dangerous AI, But Safely?
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AI Safety Career Advice! (And So Can You!)
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Apply for the Affine Superintelligence Alignment Seminar #shorts
Apply for the Affine Superintelligence Alignment Seminar #shorts
Robert Miles AI Safety

The Affine Superintelligence Alignment Seminar is a unique opportunity to learn about AI safety and superintelligence alignment, applying theoretical understanding to real-world problems. The seminar aims to develop a principled understanding of intelligence and agency to align superhuman AI systems with human interests. By attending the seminar, participants can gain a deeper understanding of AI safety and alignment, and develop practical skills to apply in their own work.

Key Takeaways
  1. Apply for the Affine Superintelligence Alignment Seminar
  2. Develop a principled theoretical understanding of intelligence and agency
  3. Learn about AI safety and superintelligence alignment
  4. Apply AI safety concepts to real-world problems
  5. Develop strategies for AI safety
  6. Identify AI safety risks
💡 Developing a principled theoretical understanding of intelligence and agency is crucial for aligning superhuman AI systems with human interests, and requires a deep understanding of AI safety and superintelligence research.

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