The hottest AI Policy Substack posts right now

And their main takeaways
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Top Technology Topics

Three Short Arguments in AI Policy

From the New World • 32 implied HN points • 06 Mar 24
🕹 Technology AI Policy Machine Learning National Security Open Source Government Policy
  1. Incentivizing open-source development in AI can increase efficiency in training, lower barriers to entry for engineers, and make fixing security issues easier.
  2. Outdated government policies are hindering technological advancements in AI, as highlighted by recent scandals at companies like Google.
  3. Promoting 'dual-use' technologies that have civilian and military applications is crucial for national defense and economic prosperity, restricting them could harm national security and competitiveness.

The Defence production act and AI policy

The Good blog • 13 implied HN points • 01 Mar 24
🇺🇸 U.S. Politics Legislation Antitrust AI Policy National Security
  1. The Defence Production Act grants the President expansive powers to strengthen the US industrial base, and it has remained largely unchanged since 1953.
  2. Certain antitrust provisions of the Defence Production Act allow firms to make voluntary agreements that might otherwise be illegal under antitrust laws.
  3. The Biden executive order on AI incorporates elements authorized under the legal authority of the Defence Production Act, such as reporting requirements for AI training runs and NIST's development of new AI safety standards.

Last Week in AI #219: Google's new slate of generative AI products, Meta unveils generative ads, effects of US sanctions on Chineses AI firms, and more!

Last Week in AI • 255 implied HN points • 15 May 23
🕹 Technology AI Generative AI AI Policy
  1. Google introduced a new language model called PaLM 2 with enhanced multilingual and reasoning capabilities, powering over 25 Google products.
  2. Meta announced the AI Sandbox testing platform for generative AI-powered advertising tools to enhance ad creation and targeting.
  3. US sanctions on China have led Chinese AI firms to develop AI systems using less powerful semiconductors to train state-of-the-art models.

What should the UK’s £100 Million Foundation Model Taskforce do?

Navigating AI Risks • 117 implied HN points • 17 Jul 23
🕹 Technology AI Policy Risk Assessment
  1. The UK's £100 Million Foundation Model Taskforce should develop a risk assessment methodology for extreme risks from AI
  2. The taskforce should demonstrate current and forecast near-term risks through risk scaling laws
  3. It's important for the taskforce to comprehensively assess the state-of-the-art open source large language model (LLM) for risks

#2 - Regulate or Compete? The China Factor in U.S. AI Policy

Navigating AI Risks • 137 implied HN points • 28 Apr 23
🕹 Technology Regulation AI Policy Tech Innovation Global Competition
  1. The debate on US AI policy involves a delicate balance between regulating AI to mitigate risks and maintaining a competitive edge over China.
  2. Regulation can shape innovation, address safety concerns, and avoid large-scale mishaps in AI development.
  3. While China is ambitious, the US still leads in AI innovation and has a strong network of alliances to maintain its position.
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AGI will be made of heterogeneous components

Engineering Ideas • 19 implied HN points • 27 Dec 23
🕹 Technology Artificial Intelligence Algorithms AI safety AI Policy AI Governance
  1. AGI will be made of heterogeneous components, combining different types of DNN blocks, classical algorithms, and key LLM tools.
  2. The AGI architecture may not be perfect but will be close to optimal in terms of compute efficiency.
  3. The Transformer block will likely remain crucial in AGI architectures due to its optimization, R&D investments, and cognitive capacity.

#11 - AI in the Public Eye + AI Governance is (mostly) Compute Governance

Navigating AI Risks • 58 implied HN points • 06 Sep 23
🕹 Technology AI Governance AI Policy AI Development
  1. One proposed approach to AI governance involves implementing KYC practices for chip manufacturers to sell compute only to selected companies with robust safety practices.
  2. There is growing public concern over the existential risks posed by AI, with surveys showing varied attitudes towards regulating AI and its potential impact on society.
  3. Nationalization of AI and the implementation of red-teaming practices are suggested as potential strategies for controlling the development and deployment of AI.