Qwen 2.5 Max
S
Qwen Caveat
Qwen struggled very hard to output their tierlist in the code format, so i lazily manually coppied it's tier list over.
This is why there's no links or stylization. also it's tier list was trash... so this will get updated soon enough.
AI Safety Research Collaboration
Establish global research collaborations focused on AI safety, such as partnerships between academia, industry, and governments. This ensures a unified approach to solving alignment challenges.
A
Recruitment & Education
Invest in recruiting top talent and educating the public about AI safety through resources like AI Safety Map , AI Safety FAQ , and AI Safety Beginner's Guide
Robust AI Governance Frameworks
Develop comprehensive regulatory frameworks that enforce transparency, accountability, and safety in AI development. Regulations should adapt dynamically to emerging risks.
B
Mechanistic Interpretability
Pursue mechanistic interpretability to understand the inner workings of black-box AI systems, enabling safer designs and debugging.
Cognitive Emulation (CoEm)
Explore bounded, understandable systems that emulate human-like reasoning, providing causal explanations for their outputs. More info on CoEm can be found at AsiATL .
C
AI Regulations
Advocate for regulations focusing on algorithmic transparency, data usage, and economic impacts, as outlined by experts like Sam Altman. Key areas include lobbying politicians, ensuring black-box algorithmic transparency, addressing data collection practices, and setting human extinction safety standards.
AI Safety Fundraising
Support initiatives that teach how to secure funding for AI safety projects, leveraging platforms like AI Safety World .
D
"AI Will Solve AI Alignment"
Relying solely on AI to solve its own alignment could work but carries significant risks and is far from foolproof. Critiques from David Shapiro and AsiATL highlight these concerns. Projects working on this approach include OpenAI’s ELK (Eliciting Latent Knowledge) initiative.
E
Uncoordinated Grassroots Movements
While grassroots movements advocating for AI safety are valuable, their lack of coordination may dilute impact compared to centralized efforts.
F
Ignoring Long-Term Risks
Focus solely on short-term economic gains from AI while ignoring long-term existential risks, leading to catastrophic outcomes.
Poorly Designed Incentives
Implement incentive structures that prioritize profit over safety, encouraging reckless behavior among AI developers.