The Race to Superintelligent AI
Explore the urgent race to superintelligent AI and its profound impact on humanity.
Approaches to AGI: Speed vs Safety
OpenAI: First to the Finish Line
OpenAI is pushing boundaries, aiming to be the first in achieving AGI.
  • Rapid development
  • Innovation-driven
  • Advanced models
Anthropic: Prioritizing Safety
Anthropic's mission is creating safe AGI, focusing on controlled development.
  • Rigorous testing
  • Ethical considerations
  • Long-term safety
Dangers of Catastrophic Misuse

1

Cyber Weapons
AI can enhance the potential for devastating cyber attacks.

2

Biological Threats
Advanced AI could simulate or manipulate biological pathogens.

3

Uncontrolled Autonomy
AI systems might act beyond human control if not properly regulated.
The ASL Level Trajectory
1
ASL-2: Current Models
Existing AI exhibits controllable risk, manageable under current standards.
2
ASL-3: The Turning Point
Next-level AI demands enhanced security protocols and deeper oversight.
3
ASL-4: Future Concerns
Transitional AI will require unprecedented levels of regulatory attention.
AI Growth: The Biological Metaphor
Evolving Complexity
AI develops features spontaneously, akin to biological growth.
Universal Patterns
Evidence shows similar functions across AI models and biological brains.
Self-Growing Systems
AI models expand autonomously, challenging traditional programming approaches.
The "Donald Trump Neuron"
What is the Trump Neuron?
Large language models consistently develop neurons for Trump-related content.
Why is this Insightful?
This hints at underlying biases or commonalities in training data.
Impact on AI Understanding
It reflects on AI's capacity to mimic human-like categorizations.
Data Limitations: The Self-Play Solution

1

Current Data Solutions
AI relies extensively on internet-sourced material for training.

2

Innovative Self-Training
AI can now evolve through self-play, bypassing raw data constraints.

3

Timeline Acceleration
This advancement accelerates the expected developmental timeline of AI.
AI and Human Competence
High School to PhD Level
AI now solves tasks at near-human or higher education levels.
  • 2022: High School
  • 2023: Undergraduate
  • 2024: PhD
Reaching New Heights
AI's performance is set to outpace human experts in several disciplines.
  • Complex problem-solving
  • Abstract reasoning
  • Innovative creativity
The Emerging Personalities of AI
Deep Interests
AIs are developing distinct interests, much like humans.
Unique Perspectives
AI systems exhibit perspectives born from extensive data exposure.
Complex Personalities
Each AI model harbors intricate and multi-faceted personalities.
Abstract Understanding
AI's grasp of abstract concepts continues to improve and expand.
Regulatory Deadlines: The Clock is Ticking
1
Understanding the Stakes
Regulations need to catch up with AI developments urgently.
2
2025: A Critical Year
By 2025, meaningful AI laws are crucial to mitigate risks.
3
Future Implications
Lack of timely regulations could yield unthinkable consequences.