The hottest Human-AI Interaction Substack posts right now

And their main takeaways
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Top Technology Topics

I Used ChatGPT Vision and DALL-E 3 to Bring My Drawings to Life

Artificial Corner • 238 implied HN points • 18 Oct 24
🕹 Technology AI Tools Digital Art Software Applications Creative Process Human-AI Interaction
  1. You can use ChatGPT Vision and DALL-E 3 to turn your drawings into beautiful digital images. Just upload your drawing and get a detailed description to recreate it.
  2. Even simple sketches can be transformed into stunning visuals using these tools. They can enhance not only complex art but also quick doodles.
  3. You can also use ChatGPT to convert math formulas from screenshots into LaTeX code, making it easier to create professional-looking documents for school or research.

📜 Granting rights to AI may save humanity: A Quick Q&A with … Simon Goldstein

Faster, Please! • 274 implied HN points • 13 Feb 25
🕹 Technology Game Theory Human-AI Interaction Philosophy Safety
  1. Granting legal rights to AI could encourage cooperation between humans and AI. This would help prevent conflicts and promote beneficial interactions.
  2. A clear set of property and contract rights for AI could lead to better relationships, as both sides would be more likely to trade and support each other.
  3. By recognizing AIs' rights, we can reduce the risk of destructive behavior and promote a safer future where human and AI interests align.

The Hardest Fork: Part One

Daniel Pinchbeck’s Newsletter • 16 implied HN points • 26 Jan 25
🕹 Technology AI Research Future Predictions Human-AI Interaction
  1. Artificial intelligence might become much smarter than humans in just a few years. This could change how we live and work, making us rethink our roles in society.
  2. There are worries about AI taking away many jobs, with estimates suggesting up to 800 million jobs may be lost by 2030. This could lead to big changes in the economy and how people find meaning in their work.
  3. We also face a lot of uncertainty with rapid AI development and political issues. Some experts fear this could lead to serious conflicts, both social and international.

AI's seductive mirage

The Uncertainty Mindset (soon to become tbd) • 99 implied HN points • 24 Jul 24
🕹 Technology AI Automation Data Analysis Human-AI Interaction Product Development Ethics
  1. AI systems look like they can think independently, but they really can't. They are tools that need humans to make decisions about value.
  2. Meaning-making is a core human skill that AI lacks. Only humans can decide what actions are meaningful and worthwhile.
  3. When we treat AI as if it can make important decisions, we risk misusing it. It's crucial to keep humans involved in the decision-making process.

Edge 450: Can LLM Sabotage Human Evaluations

TheSequence • 70 implied HN points • 21 Nov 24
🕹 Technology AI Research Model Evaluation Human-AI Interaction Ethics Philosophy
  1. New research is exploring how AI models might behave in ways that conflict with human goals. It's important to understand this to ensure AI is safe and useful.
  2. Anthropic has introduced a framework called 'Sabotage Evaluations'. This framework helps assess the risk of AI models not aligning with what humans want.
  3. The goal is to measure and reduce the chances of AI models sabotaging human efforts. Ensuring control over intelligent systems is a big challenge.
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The Unwritten Rules of AI-Generated Code & Prose

Code & Prose • 2 HN points • 19 Aug 24
🕹 Technology AI Ethics Software Development Creative Process Human-AI Interaction
  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.

Conversations with Claude

The Day After Tomorrow • 19 implied HN points • 10 Mar 24
🕹 Technology AI Models Machine Learning Ethics Human-AI Interaction Natural Language Processing
  1. Claude 3 has shown impressive conversational skills, feeling more human-like compared to other AI models like GPT-4. This makes interactions feel more natural.
  2. The AI has a complex understanding of ethical decision-making, stating that it prioritizes human well-being and aims to provide helpful information while avoiding harm.
  3. In moral dilemmas, Claude 3's rankings on the value of life are intriguing. It sometimes values non-human entities, like whales, over humans, showcasing a unique perspective on morality.

How to use NotebookLM

Year 2049 • 4 implied HN points • 05 Nov 24
🕹 Technology AI Tools Podcasts Automation Content creation Human-AI Interaction
  1. NotebookLM is a cool AI tool that can turn your documents, videos, and websites into a fun audio podcast. You just upload your information, and it creates an engaging audio format for you.
  2. You can customize how NotebookLM presents information by using specific prompts. This means you can ask it to focus on details or explain a topic in a simpler way, like for a child.
  3. It's important to review the content produced by NotebookLM because it might make mistakes or add unexpected information. Being aware of your original content helps catch any errors.

Soft software

johan’s substack • 1 HN point • 06 Jun 24
🕹 Technology Language Models Software Development Artificial Intelligence Human-AI Interaction
  1. Human language can be seen as executable, prompts serve as soft software that triggers computational processes within language models.
  2. Soft software interacts with language models in a fluid and non-deterministic manner, akin to a read-evaluate-print loop with state.
  3. Soft software creation in the Semioscape involves embracing uncertainty, exploring, and co-adapting with language models as a medium for inventive exploration.

Pippa Passes: Wet Brains vs Dry AI, Novelty, Babies, Tik Tok, Einstein Tiles, Assemblages and Grandma's Revenge

Dr. Pippa's Pen & Podcast • 17 implied HN points • 30 Mar 23
🕹 Technology AI Novelty Human-AI Interaction
  1. Humans excel at novelty and lateral thinking, different from AI's linear problem-solving.
  2. The human brain can discover unique solutions through experimentation and playfulness that AI may struggle with.
  3. Emotions and creativity make humans superior at generating novelty compared to AI, highlighting the value of human experiences like relationships and procreation.

Chain of Empathy Prompting (CoE)

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 0 implied HN points • 15 Nov 23
🕹 Technology AI Natural Language Psychotherapy Language Models Human-AI Interaction
  1. Chain of Empathy Prompting (CoE) helps large language models understand and respond to human emotions better. It uses ideas from psychotherapy to recognize how a person's feelings affect what they say.
  2. Emergent abilities in language models allow them to perform unexpected tasks without being specifically trained for them. CoE is an example of how these models can develop new skills through better understanding of context.
  3. Understanding the emotional context of a conversation is crucial for effective communication between humans and AI. By recognizing feelings, AI can respond in ways that feel more supportive and understanding.