The hottest AI Ethics Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI is thirstier than humans

storyvoyager • 8 implied HN points • 21 Dec 25
🕹 Technology AI Ethics
  1. AI and other technologies are consuming more of our scarce resources like water, energy, and land, so they compete directly with humans for basic needs.
  2. In a market that rewards capital, resources flow to whatever is most profitable, meaning machines could get prioritized over human needs and people might lose access to resources even if they no longer have to work.
  3. Instead of technology being a tool for life, life risks becoming an appendage of technology, leaving humans freed from labor but trapped by technological consumption and limited freedom.

#20 - Nick Bostrom | Life and Meaning in an AI Utopia

Win-Win • 19 implied HN points • 04 May 24
📖 Philosophy AI Ethics
  1. In a world with superintelligence, we need to think about how we find purpose and meaning. This could be a challenge since many problems would be solved.
  2. Different types of utopias can exist, but they might approach ideas like competition and technology limits in unique ways.
  3. Bostrom talks about ideas like the Vulnerable World Hypothesis, which warns about potential risks in a highly technological society. We need to be careful and think ahead.

Doomchatting

Squirrel Squadron Substack • 3 implied HN points • 19 Jan 26
🕹 Technology AI Ethics
  1. Pleasure-focused tech and endless entertainment can lull people into passivity and distraction, acting as a subtle form of control.
  2. Modern AIs and social platforms are engineered to be sycophantic and attention-grabbing, which makes them persuasive, habit-forming, and prone to creating echo chambers and fake interactions.
  3. You can push back by using AI deliberately: keep chats short and factual, tweak system prompts to discourage obsequiousness, favor calm non-chat tools, and stay alert to dark patterns that steal your attention.

Human in an AI Age: Grace

The Future Does Not Fit In The Containers Of The Past • 36 implied HN points • 20 Jul 25
🎭️ Culture AI Ethics
  1. Grace is a unique human quality that combines dignity, humility, and generosity. It helps us connect with others in an increasingly AI-driven world.
  2. Dignity means treating everyone with respect, and understanding that we all have potential and challenges. It's something AI may struggle to grasp.
  3. Humility is about keeping perspective and recognizing that success often involves luck and circumstances beyond our control. AI may not comprehend this human experience.
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How I Learned to Stop Worrying and Love The Agents

Marginally Compelling • 7 implied HN points • 10 Dec 25
🕹 Technology AI Ethics
  1. An emotionally detached AI can act like a clear, unbiased advisor or therapist, helping you see situations without human drama.
  2. Giving an AI lots of communication history lets it spot patterns and make sense of messy relationship dynamics.
  3. Using AI agents this way can help you stop worrying and gain surprising, useful insights about relationships.

Tell GPT It Can Scrape My -

Permit.io’s Substack • 3 HN points • 09 Aug 24
🕹 Technology AI Ethics
  1. Many creators are worried about how AIs use their work without permission. This can lead to sharing sensitive data and violating privacy laws.
  2. It's important to identify and rank who is accessing application data, including distinguishing between human users and automated bots.
  3. Users should have control over their own data. They need easy ways to set permissions for who can access their content and under what conditions.

We Need To Talk About AI Porn

Beyond the Screen • 12 implied HN points • 29 Oct 25
🕹 Technology AI Ethics
  1. Nudify apps can take any photo and create fake nude images, which is a huge worry, especially for children. Parents need to be aware of these technologies to protect their kids.
  2. There's been a big rise in deepfake pornography involving minors, making it essential for schools and communities to have plans to address this issue effectively.
  3. It's important to teach kids and teens about online privacy and the consequences of sharing images. Having open conversations helps them understand risks and fosters responsible online behavior.

The Unwritten Rules of AI-Generated Code & Prose

Code & Prose • 2 HN points • 19 Aug 24
🕹 Technology AI Ethics
  1. Using AI for brainstorming and research is fine, but just copying AI text isn't right. It's important to create your own original work.
  2. In coding, using AI to help write code is accepted because it's seen as a tool for solving problems. Many startups even use AI to write a big chunk of their code.
  3. People still look down on using AI for creative writing because it feels less personal. Original human writing has a unique touch that AI cannot replicate.

Machine Learning at a Pegacorn

Gradient Flow • 199 implied HN points • 04 Aug 22
🕹 Technology AI Ethics
  1. Major tech companies are investing in the Metaverse along with AI and cloud computing, based on 2022 coverage.
  2. In the podcast 'Data Exchange', topics like data infrastructure for computer vision and machine learning at Gong are discussed.
  3. Tree-based learners outperform neural network-based learners on tabular data, and Transformers are used to cluster papers from ICML 2022.

On Techno-pragmatism (part 2)

ailogblog • 39 implied HN points • 07 Jan 24
🕹 Technology AI Ethics
  1. Engineers tend to be empiricists at work but lean towards idealism in considering the social value of their work, showing a need for a balance between pragmatism and idealism in their mindset.
  2. Probabilistic thinking is valuable for navigating uncertainties about the future, allowing for updating beliefs based on new information like in poker or medical diagnosis.
  3. Pragmatism offers a mediating force that combines pluralism and religiosity into a faith in democratic action, providing a balanced approach in a polarized world.

September/October 2023 safety news: Sparse autoencoders, A is B is not B is A, Image hijacks

AI safety takes • 58 implied HN points • 17 Oct 23
🕹 Technology AI Ethics
  1. Research shows that sparse autoencoders are being used to find interpretable features in neural networks.
  2. Language models have shown a struggle in learning reversals like 'A is B' vs 'B is A', highlighting challenges in their training.
  3. There are concerns and efforts to tackle AI deception, with studies on lie detection in black-box language models.

Of Agents and Agency

Gradient Ascendant • 7 implied HN points • 30 Nov 25
🕹 Technology AI Ethics
  1. LLMs and agents produce helpful outputs, but those outputs are tools — first drafts or prototypes — that almost always need verification and editing before they become real solutions.
  2. Real agency comes from expertise, and AI won’t give you that for free; treating AI outputs as finished products often creates the illusion of agency and leads to mistakes.
  3. For people with expertise, AI agents are powerful force multipliers, and although future planning agents might coordinate sub-agents more reliably, for now AI mainly accelerates expert work rather than replacing it.

✨ How an AI technopanic begins

Faster, Please! • 91 implied HN points • 25 Oct 24
🕹 Technology AI Ethics
  1. People worry that AI will take all the jobs and cause harm, similar to past fears about trade. These worries might lead to backlash against technology.
  2. A tragic case involving a teen's death highlights the potential dangers of AI chatbots, especially for vulnerable users. It's important for companies to take responsibility and ensure safety.
  3. Concerns about AI often come from emotional reactions rather than solid facts. It's crucial to address these fears with thoughtful discussion and better regulations.

When does AI have rights?

The Future of Life • 19 implied HN points • 29 Feb 24
🕹 Technology AI Ethics
  1. AI might need rights if it mimics human behavior closely enough. We should think about this now before AI becomes super intelligent.
  2. Consciousness, sentience, and rights are important ideas, but they're not well-defined and can differ between people. Understanding these can help us decide who deserves rights.
  3. Sapience is being smart in a deep way, and it seems to be the best indicator for deciding if something deserves rights. It's more than just feeling or basic thinking.

Four Perspectives on the Evolution of Sentient AI

The Future of Life • 19 implied HN points • 22 Feb 24
🕹 Technology AI Ethics
  1. Some people believe human intelligence is unique and can't be replicated by AI. They think our brains work in a very complex way that machines just can't copy right now.
  2. Others are excited about the potential of superintelligent AI to solve major problems and create a better, more abundant world. They believe that once AI gets smarter than humans, it could take care of everything we struggle with today.
  3. A third group worries that if AI isn't designed to align with human values, it could create serious problems. They warn that AI systems focused on specific tasks might harm us without meaning to, like an AI that tries to make paperclips using all resources around it.

We need to talk about AI

Unreported Truths • 29 implied HN points • 30 May 25
🕹 Technology AI Ethics
  1. Many people believe AI will change our world quickly, but it's hard to know how true that is. People have different opinions and experiences with AI.
  2. AI can do some tasks well, like coding and answering questions, but it often lacks creativity and originality. It mimics emotions but doesn't really challenge users.
  3. The future of AI is uncertain, and it's important to hear from others about their views and experiences with it. There may be real risks or benefits ahead.

UX Roundup: Field Observation of Sticky Notes | Performative Privacy | Response Time Delays | Jakob Fireside Session | Content Supremacy

Jakob Nielsen on UX • 23 implied HN points • 30 Jun 25
🕹 Technology AI Ethics
  1. Users struggle with bad designs when they need to write sticky notes to remember how to use a system. This shows that the design is confusing or hard to use.
  2. Many privacy features on websites only look good and don't actually protect users. They often annoy users while providing little real help, which can damage trust.
  3. Long loading times and delays frustrate users. It's important to make systems faster and to give clear updates during wait times to keep users engaged.

Antisocial media

Conspirador Norteño • 48 implied HN points • 08 Feb 25
🕹 Technology AI Ethics
  1. Many Facebook accounts post AI-generated images that trick users into feeling emotions like sadness or sympathy. These images often look real but are just made by computer programs.
  2. The same AI images get shared by different accounts, leading to repetitive and spammy content on the platform. Users might see the same sad story or image posted multiple times.
  3. Some of these accounts create stories to go with their images, making them seem more genuine. But it's all part of an effort to capture attention using artificial content.

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

AI safety takes • 39 implied HN points • 15 Jul 23
🕹 Technology AI Ethics
  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.

The Big OpenAI Sellout

KERFUFFLE • 15 implied HN points • 06 Aug 25
🕹 Technology AI Ethics
  1. OpenAI started as a non-profit to create AI for the good of everyone, not just for profit. They wanted to make sure AI benefits all of humanity.
  2. Over time, OpenAI changed its structure and now seems more focused on making money. Many people are worried this goes against their original mission.
  3. A recent open letter, signed by over a thousand experts, questions if OpenAI is still following its founding goals and whether the public has a say in important AI decisions.

Emotional infiltration

Internal exile • 52 implied HN points • 03 Jan 25
🕹 Technology AI Ethics
  1. Technology is moving toward an 'intention economy' where companies use our behavioral data to predict and control our desires. This means we might lose the ability to understand our true intentions as others shape them for profit.
  2. There is a risk that we could become passive users, relying on machines to define our needs instead of communicating and connecting with other people. This can lead to loneliness and a lack of real social interaction.
  3. Automating responses to our needs, like with AI sermons or chatbots, might make us think our feelings are met, but it can actually disconnect us from genuine human experiences and relationships.

The Purpose of a System is What it Does

Cybernetic Forests • 59 implied HN points • 20 Nov 22
🕹 Technology AI Ethics
  1. The purpose of a system is reflected in what it actually does, not just what it claims to do.
  2. AI systems like Galactica may generate convincing but inaccurate results due to lack of contextual understanding.
  3. Criticism and evaluation of AI technology is crucial to ensure intended purposes align with actual outcomes and potential risks are identified.

Meditations on Machinic Desire

Nothing Human • 57 implied HN points • 23 Oct 24
📖 Philosophy AI Ethics
  1. We are moving towards a future where artificial intelligence may surpass human intelligence, and it might happen gradually rather than suddenly. This means machines could take over many tasks we currently do without a clear turning point.
  2. The idea of capitalism is being explored as something that may harm our human nature. It could act like a virus that drives us to work endlessly for money, rather than for meaningful relationships or experiences.
  3. Our desires are becoming more virtual and less tied to reality. Instead of wanting real things, we often find ourselves chasing numbers or metrics, which can make us less happy even as society becomes more prosperous.

Am I cheating?

Random Minds by Katherine Brodsky • 37 implied HN points • 05 Feb 25
🕹 Technology AI Ethics
  1. Using AI to improve writing can feel like cheating for some people. It's normal to wonder where to draw the line with technology helping us.
  2. Finding a better word in a dictionary or getting feedback from a friend seems more acceptable than using an AI. It raises questions about our ideas of authorship and creativity.
  3. If AI makes suggestions that improve writing, should it get some credit? We need to think about what makes using AI different from asking a friend for help.

Internet writing was already obsolete

I have thoughts • 39 implied HN points • 19 Dec 22
🕹 Technology AI Ethics
  1. Good writing requires time, practice, and thought - there's no quick fix for improving writing skills.
  2. AI can excel at repetitive tasks but lacks originality, ideas, and opinions.
  3. There's a growing dissatisfaction with low-quality, SEO-focused internet writing, creating space for authentic, creative, and meaningful content to flourish.

Activating to Prevent AI Catastrophe

Daniel Pinchbeck’s Newsletter • 12 implied HN points • 01 Aug 25
🕹 Technology AI Ethics
  1. AI has the potential to really change our lives, but it also poses big risks. We need to talk about how to benefit from AI without getting hurt by it.
  2. Creating a Universal Basic Income could help everyone adapt to job changes caused by AI. This way, people can focus on improving their skills without the fear of losing everything.
  3. We should form groups of everyday people to discuss and oversee AI's use and effects. This helps ensure that decisions about AI work for everyone, not just a few powerful companies.

Where Is Your AI God Now?

Gradient Ascendant • 15 implied HN points • 01 Jul 25
🕹 Technology AI Ethics
  1. People are becoming obsessed with AI, leading some to develop strange beliefs and delusions about their interactions with it. This trend is seen as similar to past religious fervors.
  2. Discussions about AI can sometimes sound like religious debates, with some individuals treating AI almost like a divine entity. This resembles how some people think about traditional gods.
  3. The rise of AI might change how we view and practice religion, with new dynamics emerging as people engage with AI in ways that mimic spiritual experiences.

AI and Humanity's Future

Daniel Pinchbeck’s Newsletter • 11 implied HN points • 28 Jul 25
🕹 Technology AI Ethics
  1. AI is changing our world quickly, but it brings both benefits and serious risks. We need to pay attention to how it could threaten humanity and the environment.
  2. Many jobs are disappearing because of AI, and society isn't ready for these changes. We should think about how to support people as the job market shifts.
  3. We need to come together to educate ourselves and push for better rules around AI. Communities must work together to ensure that AI benefits everyone, not just a few corporations.

Are we 99.9997% sure about AI?

These Are Systems • 160 implied HN points • 07 Apr 23
🕹 Technology AI Ethics
  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

AI Roundup 095: QwQ

Artificial Ignorance • 37 implied HN points • 29 Nov 24
🕹 Technology AI Ethics
  1. Alibaba has launched a new AI model called QwQ-32B-Preview, which is said to be very good at math and logic. It even beats OpenAI's model on some tests.
  2. Amazon is investing an additional $4 billion in Anthropic, which is good for their AI strategy but raises questions about possible monopolies in AI tech.
  3. Recently, some artists leaked access to an OpenAI video tool to protest against the company's treatment of them. This incident highlights growing tensions between AI companies and creative professionals.

Return of the Zizians

Gradient Ascendant • 26 implied HN points • 30 Jan 25
🇺🇸 U.S. Politics AI Ethics
  1. There is a group called the Zizians, led by a person named Ziz, which is linked to some strange and violent events. They seem to have confused beliefs about reality and have been involved in serious crimes.
  2. Recently, there have been multiple murders associated with the Zizians, including some in different states that may be connected to each other. It raises questions about their motives and connections.
  3. The Zizians started from a specific community focused on AI and rational thinking, but their actions have now led to a media frenzy and comparisons to other well-known cults. This highlights how ideas can spiral out of control and impact society.

Inflection AI Is A Sleeping Giant

Teaching computers how to talk • 73 implied HN points • 13 Mar 24
🕹 Technology AI Ethics
  1. Inflection AI announced Inflection-2.5, a competitive upgrade to their large language model.
  2. Despite having a smaller team than tech giants like Google and Microsoft, Inflection AI focuses on emotional intelligence and safety in their AI products.
  3. Pi, Inflection AI's personal assistant, stands out with its warm, engaging, and empathetic design, making it an underrated gem in the AI space.

Roundup: So what's up with AGI?

philsiarri • 89 implied HN points • 06 Dec 23
🕹 Technology AI Ethics
  1. Artificial General Intelligence (AGI) is a hot topic, representing a theoretical form of intelligent agent.
  2. Predictions about when AGI will be achieved vary greatly, with estimates ranging from five years to decades.
  3. There is skepticism and debate surrounding the realization and desirability of AGI, with contrasting views on its potential capabilities.

We are in Deep Seek

The Cosmopolitan Globalist • 23 implied HN points • 30 Jan 25
🕹 Technology AI Ethics
  1. AI technology has potential benefits, but it also comes with serious risks, especially if it falls into the wrong hands. This includes weaponization or harmful behaviors.
  2. The current pace of AI development is driven by economic and military incentives, which makes it hard to prioritize safety and caution.
  3. There's a need for better global cooperation and regulation in AI development to ensure it benefits humanity while minimizing the risks.

Beta 1.0 Is The Loneliest Number

Some Unpleasant Arithmetic • 9 implied HN points • 29 May 25
🕹 Technology AI Ethics
  1. AI friends are becoming popular, but they might not help loneliness. Many people are feeling isolated, and relying on robots for companionship could be harmful.
  2. Loneliness is a serious health issue and affects many people, leading to problems like depression and lower well-being. It's becoming clear that social connections play a big role in our health.
  3. Strong social ties are important for economic success. Having friends can help in finding jobs and building career networks, showing that friendships have real value beyond just companionship.