The hottest AI Regulations Substack posts right now

And their main takeaways
Category
Top Technology Topics
ChinAI Newsletter 157 implied HN points 29 Jan 24
  1. National Data Administration in China started coordinating data infrastructure construction in 2023.
  2. China took significant actions in internet governance, such as fines on financial platforms and AI-generated content regulations.
  3. Important events included new regulations on cyberviolence management and the first AI text-to-image infringement case in China.
Import AI 279 implied HN points 24 Apr 23
  1. Effective AI policy requires measuring AI systems for regulation and designing frameworks around those measurements.
  2. Chinese generative AI regulations aim to exert control over AI-imbued services and place more responsibility on providers of AI models.
  3. Innovations like StableLM in open-source models and the use of synthetic data can lead to improved AI model performance.
jonstokes.com 175 implied HN points 22 Jun 23
  1. AI rules are inevitable, but the initial ones may not be ideal. It's a crucial moment to shape discussions on AI's future.
  2. Different groups are influencing AI governance. It's important to be aware of who is setting the rules.
  3. Product safety approach is preferred in AI regulation. Focus on validating specific AI implementations rather than regulating AI in the abstract.
Technically Optimistic 19 implied HN points 15 Mar 24
  1. Social media platforms like Facebook and Instagram are businesses designed to make money, so they may track your data for profit.
  2. Internet service providers (ISPs) like Comcast and Verizon bundle and sell your personal data, including sensitive information, potentially compromising your privacy.
  3. Protect your data by adjusting your privacy settings, using encryption methods like SSL, and being aware of how companies handle your information online.
Eva’s Substack 4 HN points 11 Apr 23
  1. China lacks the resources and technology, like data centre-grade GPUs, needed to compete with the US in developing AGI via Large Language Models (LLMs).
  2. The Chinese Communist Party prioritizes social stability and control over developing powerful LLMs that could challenge its authority, resulting in stricter supervision and limitations on AI development.
  3. Global concerns about an AGI race between the US and China are unfounded; US companies are leading in AGI development, and China faces obstacles in resources, technology, and political constraints.
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