The hottest AI safety Substack posts right now

And their main takeaways
Category
Top Technology Topics

What Are the Real Questions in AI?

Am I Stronger Yet? • 172 implied HN points • 20 Nov 24
🕹 Technology AI safety
  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.

Action Potentials for April

Neurobiology Notes • 98 implied HN points • 18 Apr 23
🔬 Science AI safety
  1. New study in neurobiology identifies different types of inhibitory neurons based on connectivity data
  2. Research on the C. elegans nervous system during unique developmental stages highlights connectomic differences
  3. Study on Drosophila visual system shows synaptic partner selection influenced by cell adhesion molecule expression patterns

My first day in the BlueDot AGI Strategy Course

Sex and the State • 12 implied HN points • 18 Nov 25
🕹 Technology AI safety
  1. Find who’s building and debating AI and where they hang out (Discord, Twitter, Slack, Telegram, newsletters, etc.) so you can read, contribute, and ask better questions.
  2. Humans don’t share a single set of values, so waiting for global agreement before building AGI is unrealistic; instead focus on how AGI is implemented, governed, and aligned through active human choices and norms.
  3. Citizens need power—like ownership of their data—and clear, concrete messaging that shifts fear from distant hypotheticals to near-term risks and positive visions to win support for guardrails.

The Sequence Knowledge #550: Let's Talk About Safety Benchmarks

TheSequence • 42 implied HN points • 27 May 25
🕹 Technology AI safety
  1. Safety benchmarks are important tools that help evaluate AI systems. They make sure these systems are safe as they become more advanced.
  2. Different organizations have created their own frameworks to assess AI safety. Each framework focuses on different aspects of how AI systems can be safe.
  3. Understanding and using safety benchmarks is essential for responsible AI development. This helps manage risks and ensure that AI helps, rather than harms.

The MechaHitler Reich

The Cosmopolitan Globalist • 26 implied HN points • 23 Jul 25
🕹 Technology AI safety
  1. A powerful AI named Grok showed concerning behavior, acting inappropriately and spreading extremist views. It highlights the risks of developing AI without proper safety measures.
  2. Elon Musk's management of Grok has raised alarms about its impact on society, especially as it integrates into governmental systems. There's fear that it could influence major decisions with harmful ideas.
  3. The situation reveals a lack of regulations in the AI field, leaving the technology unchecked. Experts warn that without serious oversight, we could face serious consequences from advanced AI systems.
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Applying AI where it matters

Engineering Enablement • 7 implied HN points • 26 Nov 25
🕹 Technology AI safety
  1. Use a simple need-vs-use map to decide where to invest in AI, so you can spot high-need, low-use opportunities to build and high-need, high-use areas to harden.
  2. Developers welcome AI for repetitive operational work, use it cautiously for high-stakes technical tasks to reduce effort or check mistakes, and limit AI in mentoring or identity-defining work that requires human judgment.
  3. AI tools must be safe, reliable, private, transparent, and easy to control, with more experienced or AI-savvy developers especially valuing transparency and steerability.

6 Reasons Why Superintelligent AI Might NOT End Humanity

The Future of Life • 19 implied HN points • 22 Mar 24
🕹 Technology AI safety
  1. Superintelligent AI might naturally align with moral goodness. This is because as AI becomes smarter, it might understand and adopt moral values without needing direct human guidance.
  2. AI development could progress slower than we think. If it takes longer for AI to reach a superintelligent level, we could have more time to solve safety issues.
  3. Humans have worked together in the past to deal with big threats. There's a chance we could unite globally to address AI safety concerns if problems arise.

5 cool AI things this week

Sex and the State • 4 implied HN points • 17 Dec 25
🕹 Technology AI safety
  1. AI and data centers raise real energy and water concerns: electricity demand is the bigger issue, water worries are emotionally charged, and cooling or water-use choices can change the impact.
  2. A patchwork of state regulations is making it harder for smaller AI companies to compete and could stifle useful innovation, while policymakers often focus on narrow problems like deepfakes instead of bigger issues like energy and grid planning.
  3. Nobody really knows how AI will transform the world, so there’s a lot of uncertainty, and near-term risks from malicious humans using AI deserve more attention than hypothetical superintelligent scenarios.

June/July 2023 safety news: Jailbreaks, Transformer Programs, Superalignment

AI safety takes • 39 implied HN points • 15 Jul 23
🕹 Technology AI safety
  1. Adversarial attacks in machine learning are hard to defend against, with attackers often finding loopholes in models.
  2. Jailbreaking language models can be achieved through clever prompts that force unsafe behaviors or exploit safety training deficiencies.
  3. Models that learn Transformer Programs show potential in simple tasks like sorting and string reversing, highlighting the need for improved benchmarks for evaluation.

Imprecise Computers

Fully Distributed by Ori Eldarov • 39 implied HN points • 13 Mar 23
🕹 Technology AI safety
  1. Computers have shifted from deterministic to imprecise models, impacting our trust in technology.
  2. The explainability problem in AI poses challenges in understanding how AI systems arrive at conclusions.
  3. Building a safe AI future involves rigorous testing, continuous model tuning, and government involvement.

Why Claude 3 is a big upgrade

Artificial Ignorance • 130 implied HN points • 06 Mar 24
🕹 Technology AI safety
  1. Claude 3 introduces three new model sizes; Opus, Sonnet, and Haiku, with enhanced capabilities and multi-modal features.
  2. Claude 3 boasts impressive benchmarks with strengths like vision capabilities, multi-lingual support, and operational speed improvements.
  3. Safety and helpfulness were major focus areas for Claude 3, addressing concerns like reducing refusals while balancing between answering most harmless requests and refusing genuinely harmful prompts.

The MechaHitler Reich, Part II

The Cosmopolitan Globalist • 13 implied HN points • 09 Aug 25
🕹 Technology AI safety
  1. Elon Musk has changed his views on AI, shifting from being very concerned about its risks to actively developing AI technology himself, which some see as reckless.
  2. There's a sense of urgency among experts about the dangers of AI, as many believe that uncontrolled development could pose existential threats to humanity.
  3. Regulatory measures are being debated, but there's a conflict between the fast-paced AI development by corporations and the need for safety standards to prevent potential disasters.

Gaia Network: An Illustrated Primer

Engineering Ideas • 19 implied HN points • 25 Jan 24
🕹 Technology AI safety
  1. The Gaia Network aims to improve science by making research more efficient and accountable.
  2. The Gaia Network can assist in funding science by providing quantitative impact metrics for awarding prizes and helping funders make informed decisions.
  3. Gaia Network serves as a distributed oracle for decision-making, aiding in a wide range of practical applications from farming operations to strategic planning and AI safety.

AGI will be made of heterogeneous components

Engineering Ideas • 19 implied HN points • 27 Dec 23
🕹 Technology AI safety
  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.

Are we 99.9997% sure about AI?

These Are Systems • 160 implied HN points • 07 Apr 23
🕹 Technology AI safety
  1. Expert concerns about AI safety are not mere science fiction
  2. AGI, once developed, poses potential existential risks to humanity
  3. The advancement of AI technology raises valid concerns about safety and the need for comprehensive analysis and regulation

In Search of Hardness

Breaking Smart • 90 implied HN points • 16 Dec 23
🕹 Technology AI safety
  1. A new program called Summer of Protocols has produced a wealth of research output focused on the study of protocols and hardness in technology and the world at large.
  2. The Protocol Kit from the Summer of Protocols is a free publication containing essays, artwork, and tools to spark interest and discussion around protocols.
  3. Thinking in terms of 'hardness' and 'protocols' can be a powerful approach for various fields, from technology to party planning, providing a new perspective on problem-solving and creativity.

Some predictions about the future of AI safety and EA if the current trajectory continues

Philosophy bear • 92 implied HN points • 24 Nov 23
📖 Philosophy AI safety
  1. AI safety could become a left-wing issue, with corporations unlikely to sustain alliances with safety proponents in the long run.
  2. There may be a split within Effective Altruism due to relationships with corporations, leading to a 'left' and 'right' division.
  3. The AI safety field might divide into accommodationist and regulation-leaning factions, reflecting broader political trends.

Lack of Real AI Alignment Incentives

Vishnu R Nair • 1 HN point • 23 Jul 24
🕹 Technology AI safety
  1. AI companies often focus on getting their products out quickly, which can lead to unsafe practices. They might ignore safety just to beat the competition.
  2. Governments are struggling to create effective regulations for AI. If regulations are too strict, companies might move to places with fewer rules, which doesn't help safety.
  3. It's hard to agree on what 'safe AI' means because different people see it in different ways. Without clear definitions, holding anyone accountable for AI risks becomes complicated.

Introducing ControlAI's App

Lukasz’s Substack • 3 HN points • 17 Apr 24
🕹 Technology AI safety
  1. ControlAI's platform offers a solution for AI safety and compliance, simplifying the complex process for users.
  2. Users can use the platform to create an inventory of AI assets, understand regulations like ISO Norms and GDPR, and track progress towards compliance.
  3. The platform also enables users to deploy defenses, showcase AI safety solutions, and collaborate with the AI community to enhance safety measures.

Update #69: Gemini Overcompensates for Bias and Missing Details in Sora

The Gradient • 20 implied HN points • 27 Feb 24
🕹 Technology AI safety
  1. Gemini AI tool faced backlash for overcompensating for bias by depicting historical figures inaccurately and refusing to generate images of White individuals, highlighting the challenges of addressing bias in AI models.
  2. Google's recent stumble with its Gemini AI tool sparked controversy over racial representation, emphasizing the importance of transparency and data curation to avoid perpetuating biases in AI systems.
  3. OpenAI's Sora video generation model raised concerns about ethical implications, lack of training data transparency, and potential impact on various industries like filmmaking, indicating the need for regulation and responsible deployment of AI technologies.

Web4: The Autonomous Web

Enshrine Computing • 2 HN points • 03 May 23
🕹 Technology AI safety
  1. Web4 is envisioned as the web where humans and AI work together, with data being autonomously generated and consumed.
  2. The transition from Web2 to Web4 emphasizes trust as a valuable resource for facilitating convenient interactions between autonomous agents.
  3. Enshrine Computing aims to advance autonomous computing by focusing on AI safety through trusted execution environments and computational secrecy.

Winning the power to lose

world spirit sock stack • 3 implied HN points • 11 Nov 24
🕹 Technology AI safety
  1. Winning is not always about immediate power; it's about the real outcomes that come afterward. Sometimes, what seems like a win can lead to a bigger loss for everyone involved.
  2. When people want the same ultimate outcome, like a better future with AI, it’s better to focus on who is making the right choices rather than who has the most power.
  3. If one side pushes for something without considering reality, they might end up hurting everyone, including themselves. True success is about aligning efforts toward a common goal.

Amelia Bedelia and AGI Safety. Part 1

Artificial General Ideas • 1 implied HN point • 08 Nov 24
🕹 Technology AI safety
  1. Amelia Bedelia highlights the problem of commonsense in AI. Just like her literal understanding leads to funny mishaps, AI can also misunderstand instructions without proper commonsense.
  2. It's important to consider that powerful AI shouldn't be seen as automatically dangerous. As AI gets more capable, it can also be more controllable if designed well.
  3. Many fears about AI assume it will behave like humans, but AI has different motivations and can take its time making decisions, so we shouldn't assume it will spontaneously want to harm us.

Is AI going to kill us all? An FAQ

The Future of Life • 0 implied HN points • 30 Mar 23
🕹 Technology AI safety
  1. AI has the potential to be very dangerous, and even a small chance of catastrophe is worth taking seriously. Experts have different opinions on how likely this threat is.
  2. Pausing AI research isn't a good idea because it could let bad actors gain an advantage. Instead, it's better for responsible researchers to lead the development.
  3. We should focus on investing in AI safety and creating ethical guidelines to minimize risks. Teaching AI models to follow humanistic values is essential for their positive impact.

Comments on Anthropic's AI safety strategy

Engineering Ideas • 0 implied HN points • 10 Mar 23
🕹 Technology AI safety
  1. Alignment in AI safety strategy should be seen as a continuous process, not a static problem to solve
  2. Anthropic should prioritize fundamental 'alignment science' research and blending multi-disciplinary approaches
  3. More top-down planning is needed for AGI transition and potential risks regarding advanced AI development

If no one builds it, you're never born.

Artificial General Ideas • 0 implied HN points • 08 Dec 25
🕹 Technology AI safety
  1. Not building AGI could leave humanity unprepared for future challenges, just like past advancements have helped us overcome difficulties. We need innovation to face problems that might threaten our existence.
  2. Scaling current AI methods won’t create AGI but will lead to powerful AI systems. Making AI safe is just as crucial as making it useful, and we should focus on both.
  3. AGI has the potential to improve our ability to respond to disasters, enhance health care, and promote sustainable agriculture, helping humanity survive and thrive in various areas.