The hottest AI Policy Substack posts right now

And their main takeaways
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Where will AI be at the end of 2027? A bet

Marcus on AI • 6007 implied HN points • 30 Dec 24
🕹 Technology Artificial Intelligence Human-computer interaction AI Policy Machine Learning
  1. A bet has been placed on whether AI can perform 8 out of 10 specific tasks by the end of 2027. It's a way to gauge how advanced AI might be in a few years.
  2. The tasks include things like writing biographies, following movie plots, and writing screenplays, which require a high level of intelligence and creativity.
  3. If the AI succeeds, a $2,000 donation goes to one charity; if it fails, a $20,000 donation goes to another charity. This is meant to promote discussion about AI's future.

✨⏩ JD Vance offers an accelerationist AI vision in Paris

Faster, Please! • 548 implied HN points • 11 Feb 25
🇺🇸 U.S. Politics Populism Technology AI Policy Economic Policy International relations
  1. JD Vance spoke about how technology can empower workers instead of taking their jobs away. It's important to focus on how AI can help people do their jobs better.
  2. He emphasized the need for more support in areas that are less technologically advanced. Investing in the heartland can help create a balanced economy.
  3. Vance's speech addressed the idea of balancing innovation with careful development. It's crucial to ensure that the rapid growth of AI doesn’t lead to negative social impacts.

The executive order Trump should sign: AI watermarks

The Intrinsic Perspective • 15413 implied HN points • 23 Jan 25
🇺🇸 U.S. Politics Regulation Executive orders AI Policy Elections Public Trust
  1. AI watermarks are important to ensure that AI outputs can be traced. This helps distinguish real content from that generated by bots, supporting the integrity of human communication.
  2. Watermarking can help prevent abuse of AI in areas like education and politics. It allows for accountability, so that if AI is used maliciously, it can be tracked back to its source.
  3. Implementing watermarking doesn't limit how AI companies work or their freedom. Instead, it promotes transparency and protects public trust in systems influenced by AI.

Take JD Vance's AI Speech Literally

From the New World • 177 implied HN points • 12 Feb 25
🇺🇸 U.S. Politics AI Policy Tech regulation Political Influence Market Competition
  1. JD Vance believes that AI technology should not be overly restricted because it has the potential to create jobs and improve many areas like healthcare and national security. He argues that being too cautious could harm innovation.
  2. Vance criticizes policies that seem to favor large, established companies over new startups. He warns that some regulations may be pushed by those who benefit from them rather than what's good for competition.
  3. He emphasizes that American companies should not be forced to follow foreign regulations that harm their competitiveness. Vance advocates for policies that prioritize American interests in AI development.

AI #91: Deep Thinking

Don't Worry About the Vase • 2732 implied HN points • 21 Nov 24
🕹 Technology AI Development Machine Learning Cybersecurity AI Policy Tech industry
  1. DeepSeek has released a new AI model similar to OpenAI's o1, which has shown potential in math and reasoning, but we need more user feedback to confirm its effectiveness.
  2. AI models are continuing to improve incrementally, but people seem less interested in evaluating new models than they used to be, leading to less excitement about upcoming technologies.
  3. There are ongoing debates about AI's impact on jobs and the future, with some believing that the rise of AI will lead to a shift in how we find meaning and purpose in life, especially if many jobs are replaced.
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The Case for Undoing Biden’s AI Diffusion Rule

From the New World • 53 implied HN points • 29 Jan 25
🇺🇸 U.S. Politics AI Policy Export Controls International relations Economic strategy Cybersecurity
  1. The Biden administration's AI export controls limit American companies from easily sharing AI technology with many allied nations. This could hurt relationships with friendly countries while benefiting rivals like China.
  2. Restricting exports makes it hard for American companies to localize their AI solutions in developing regions, which affects their competitiveness. If American firms can't adapt to local needs, countries may turn to Chinese alternatives.
  3. Investing in AI infrastructure in the Global South helps build strong relationships and shared technology standards. The current export rules prevent American companies from deepening those ties, allowing China to gain influence instead.

Important Editorial in Pirate Wires

From the New World • 32 implied HN points • 22 Jan 25
🇺🇸 U.S. Politics AI Policy Economic Policy Political Influence Election Strategy International relations
  1. The new administration will focus on promoting American leadership in AI. They believe that America should take the lead in advancing technology instead of holding it back.
  2. Foreign partnerships in AI should align with American standards. The U.S. will not share access to its technology unless it benefits American interests.
  3. All collaborations must aim to enhance AI research and availability. The goal is to boost innovation rather than impose restrictions.

Import AI 368: 500% faster local LLMs; 38X more efficient red teaming; AI21's Frankenmodel

Import AI • 559 implied HN points • 08 Apr 24
🕹 Technology AI Research AI Models AI Policy Robotics Artificial Intelligence
  1. Efficiency improvements can be achieved in AI systems by varying the frequency at which GPUs operate, especially for tasks with different input and output lengths.
  2. Governments like Canada are investing significantly in AI infrastructure and safety measures, reflecting the growing importance of AI in economic growth and policymaking.
  3. Advancements in AI technologies are making it easier for individuals to run large language models locally on their own machines, leading to a more decentralized access to AI capabilities.

What Are the Real Questions in AI?

Am I Stronger Yet? • 172 implied HN points • 20 Nov 24
🕹 Technology AI Ethics AI safety AI Policy International cooperation Impact assessment
  1. There is a lot of debate about how quickly AI will impact our lives, with some experts feeling it will change things rapidly while others think it will take decades. This difference in opinion affects policy discussions about AI.
  2. Many people worry about potential risks from powerful AI, like it possibly causing disasters without warning. Others argue we should wait for real evidence of these risks before acting.
  3. The question of whether AI can be developed safely often depends on whether countries can work together effectively. If countries don't cooperate, they might rush to develop AI, which could increase global risks.

Saving the National AI Research Resource & my AI policy outlook

Democratizing Automation • 126 implied HN points • 13 Nov 24
🇺🇸 U.S. Politics AI Policy Legislation Technology Regulation Public funding
  1. The National AI Research Resource (NAIRR) is crucial for connecting the government, big tech, and academic institutions to enhance AI research in the U.S. It aims to provide resources to support AI development for everyone, not just major companies.
  2. NAIRR is facing funding uncertainties, as it relies on congressional approval to continue beyond 2024. If it loses funding, it could hinder academic progress in AI, making it harder for smaller players to compete.
  3. There is a growing concern about state legislation regulating AI. As federal policies shift, states might create laws that can affect how open-source models are used, which poses risks for academic institutions.

Import AI 333: Synthetic data makes models stupid; chatGPT eats MTurk. Inflection shows off a large language model

Import AI • 898 implied HN points • 26 Jun 23
🕹 Technology AI Language Models AI Policy Data Training Ethical Implications
  1. Training AI models exclusively on synthetic data can lead to model defects and a narrower range of outputs, emphasizing the importance of blending synthetic data with real data for better results.
  2. Crowdworkers are increasingly using AI tools like chatGPT for text-based tasks, raising concerns about the authenticity of human-generated content.
  3. The UK is taking significant steps in AI policy by hosting an international summit on AI risks and safety, showcasing its potential to influence global AI policies and safety standards.

American AI Dominance

Via Appia • 4 implied HN points • 01 Feb 25
🇺🇸 U.S. Politics AI Policy National Strategy International relations Security Issues
  1. The U.S. needs a clear and positive vision to maintain its leadership in AI, especially in competition with China. Without a solid plan, relying only on defensive measures won't be enough.
  2. Export controls are important for national security, but they won't completely stop China's progress in AI. The U.S. must be proactive and not become complacent in its efforts.
  3. Creating a supportive environment for AI talent, investment, and innovation is essential. This includes developing a federal framework that attracts the best resources while ensuring safe research practices.

Import AI 349: Distributed training breaks AI policy; turning GPT4 bad for $245; better weather forecasting through AI

Import AI • 459 implied HN points • 20 Nov 23
🕹 Technology AI Research AI Policy Language Models
  1. Graph Neural Networks are used to create an advanced weather forecasting system called GraphCast, outperforming traditional weather simulation.
  2. Open Philanthropy offers grants to evaluate large language models like LLM agents for real-world tasks, exploring potential safety risks and impacts.
  3. Neural MMO 2.0 platform enables training AI agents in complex multiplayer games, showcasing the evolving landscape of AI research beyond language models.

House AI Task Force Signals Bright Future for Open Source, Little Tech

From the New World • 16 implied HN points • 18 Dec 24
🇺🇸 U.S. Politics AI Policy Regulation Bipartisanship Technology Small business
  1. Open source AI is important for fair innovation. It allows people to work together and helps prevent big companies from taking over the market.
  2. Regulations can be tough on small businesses. The report shows a need for rules that don't unfairly favor larger companies over smaller ones.
  3. Congress is moving away from fear-driven laws about AI. Instead, they are focusing on real problems and want to create clear national policies to guide AI innovation.

Import AI 332: Mini-AI; safety through evals; Facebook releases a RLHF dataset

Import AI • 299 implied HN points • 12 Jun 23
🕹 Technology AI Research AI Models AI Policy AI Governance AI safety
  1. Facebook used human feedback to train its language model, BlenderBot 3x, leading to better and safer responses than its predecessor
  2. Cohere's research shows that training AI systems with specific techniques can make them easier to miniaturize, which can reduce memory requirements and latency
  3. A new organization called Apollo Research aims to develop evaluations for unsafe AI behaviors, helping improve the safety of AI companies through research into AI interpretability

House AI Task Force Faces Escalating Defense and Energy Challenges

From the New World • 10 implied HN points • 19 Dec 24
🇺🇸 U.S. Politics National Security Energy Policy AI Policy Bipartisan Issues Government oversight
  1. The House AI Task Force report highlights a strong focus on using AI for national security and defense. This means that technology will play a big role in keeping the country safe.
  2. The report also discusses the increasing demand for electricity due to AI and other technologies. As this demand grows, we need to find better ways to supply energy.
  3. Additionally, it recommends supporting new energy projects and easing regulations. This will help us handle the rising need for electricity more effectively.

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

Navigating AI Risks • 137 implied HN points • 28 Apr 23
🕹 Technology Regulation Competitiveness 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.

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 • 258 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

Your guide to AI: December 2024

Guide to AI • 6 implied HN points • 01 Dec 24
🕹 Technology AI Policy AI Research Tech startups Hardware
  1. AI is really growing fast, and new companies are getting lots of funding to develop more advanced tools. This is creating a competitive environment.
  2. The politics around AI are uncertain after the recent US elections. It's hard to predict how new leaders will affect AI regulations and policies.
  3. There's ongoing debate about the quality of AI models from both US and Chinese labs. They are working hard to innovate and improve, showing that competition is fierce on a global scale.

#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.

The AI Safety Tug of War

The AI Interpreter • 1 HN point • 30 Aug 24
🇺🇸 U.S. Politics Legislation Technology Regulation Safety AI Policy
  1. California's new AI safety bill focuses on preventing major disasters caused by powerful AIs. It highlights the balance between safety and technological progress.
  2. The bill requires developers of high-cost AIs to publish safety plans and undergo regular audits, ensuring they test their AIs for potential risks.
  3. Developers can face penalties if their AIs cause harm and they didn't follow safety protocols, but the bill aims to keep AI innovation alive without excessive restrictions.

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.

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.

Your guide to AI: November 2024

Guide to AI • 2 implied HN points • 03 Nov 24
🕹 Technology AI Policy Research Startups Geopolitics
  1. The US has introduced a National Security Memorandum on AI. This aims to boost collaboration in AI research and improve the chip supply chain, reflecting AI's role in global politics.
  2. There's a growing debate over copyright and AI, with many creators worried about unlicensed use of their works. Some groups are pushing for stricter regulations to protect creators' rights.
  3. Big tech companies are making big moves, like OpenAI raising $6.6 billion. This shows that investments in AI startups are still strong despite the challenges in the industry.

The Defence production act and AI policy

The Good blog • 13 implied HN points • 01 Mar 24
🇺🇸 U.S. Politics Legislation Executive orders 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.