The hottest AI Models Substack posts right now

And their main takeaways
Category
Top Technology Topics

Strange Ways AI Disrupts Business Models, What’s Next For Creativity & Marketing, Some Provocative Data

Implications, by Scott Belsky • 1159 implied HN points • 21 Oct 23
🕹 Technology AI Marketing Creativity AI Models Innovation
  1. AI will cause major disruptions to traditional business models by optimizing processes in real-time.
  2. Time-based billing for services like lawyers and designers may become outdated as AI improves workflow efficiencies.
  3. AI will reduce the influence of brand and marketing on purchase decisions by providing more personalized guidance to consumers.

What is Retrieval Augmented Generation (RAG)

What's AI Newsletter by Louis-François Bouchard • 275 implied HN points • 10 Jan 24
🕹 Technology Artificial Intelligence AI Models Language Models Ethics Innovation
  1. Retrieval Augmented Generation (RAG) enhances AI models by injecting fresh knowledge into each interaction
  2. RAG works to combat issues like hallucinations and biases in language models
  3. RAG is becoming as crucial as large language models (LLMs) and prompts in the field of artificial intelligence

Language models as community moderators

Escaping Flatland • 766 implied HN points • 07 Jun 23
🕹 Technology AI Social media AI Models
  1. Community moderation is effective because it mirrors real-life social interaction and distributes the task of policing the internet.
  2. Algorithmic content filtering on social media platforms may lead to lower conversation quality and increased conflict.
  3. AI models can support community moderation in self-selected forums, potentially enabling the growth of larger moderated communities.
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How well can AI imitate a 17th century doctor?

Res Obscura • 3 HN points • 16 Feb 24
🕹 Technology AI Generative AI AI Models
  1. Long-distance traveling in the premodern world was incredibly dangerous and interesting, taking years from one continent to another.
  2. Generative AI tools like customized GPTs are being used in historical research and as educational tools to simulate historical scenarios.
  3. Comparison between different AI models, like GPT-4, Gemini, and MonadGPT, showed various levels of success in simulating a 17th century doctor's mental models, advice, and speech patterns.

When ChatGPT is better than your doctor

Digital Epidemiology • 19 implied HN points • 01 May 23
🏥 Health & Wellness AI Models
  1. ChatGPT can outperform doctors in providing quality and empathetic responses to patient questions.
  2. AI models interfacing directly with patients will significantly change the future of medicine.
  3. Most health-related interactions in the future may be with AI models rather than humans, requiring a focus on safety and effectiveness.

A brief history of speech to text + how it actually works

Mythical AI • 19 implied HN points • 08 Mar 23
🕹 Technology AI Models Neural Networks Machine Learning
  1. Speech to text technology has a long history of development, evolving from early systems in the 1950s to today's advanced AI models.
  2. The process of converting speech to text involves recording audio, breaking it down into sound chunks, and using algorithms to predict words from those chunks.
  3. Speech to text models are evaluated based on metrics like Word Error Rate (WER), Perplexity, and Word Confusion Networks (WCNs) to measure accuracy and performance.

LLM Data Sales: A Market for Lemons?

Magis • 1 HN point • 14 Feb 24
🕹 Technology AI Models Generative models Model Training
  1. Selling data for training generative models is challenging due to factors like lack of marginal temporal value, irrevocability, and difficulties in downstream governance.
  2. Traditional data sales rely on the value of marginal data points that become outdated, while data for training generative models depends more on volume and history.
  3. Potential solutions for selling data to model trainers include royalty models, approximating dataset value computationally, and maintaining neutral computational sandboxes for model use.

Software 3.0

Div’s Substack • 3 HN points • 01 Apr 23
🕹 Technology AI Programming Software Development AI Models
  1. Software 3.0 represents a shift in programming to using natural language as the new programming language.
  2. Software 3.0 involves querying a large AI model with natural language prompts to get desired output, making programming easier and more versatile.
  3. The transition to Software 3.0 brings benefits like human interpretability, generalization, and simplification of programming, but also comes with challenges like fault tolerance and latency.

What happens when your healthcare data is used to train AI models?

Tom’s Substack • 2 HN points • 20 Apr 23
🏥 Health & Wellness Patient Care AI Models Model Training
  1. Increased diversity in healthcare data for AI training leads to better performance for all patient demographics.
  2. AI models may memorize training data for individual patients, potentially impacting future care.
  3. Development of AI models in healthcare requires careful consideration to avoid biases and ensure accurate performance.

Trying all the alternatives to ChatGPT

Boris Again • 1 HN point • 22 Apr 23
🕹 Technology AI Models Alternatives Chatbots Artificial Intelligence Programming
  1. Alternative AI models like Claude, Dolly V2, and Alpaca offer different features and prices compared to ChatGPT and GPT-4.
  2. Each model has its unique strengths and weaknesses, like speed, coherence, licensing restrictions, and price per token.
  3. While some models are self-hosted and free to access, others may require a request or have specific pricing structures.

AI is like a very tiny hamburger

The efficient frontier • 0 implied HN points • 16 Jan 24
🔬 Science Energy Water Emissions AI Models
  1. The environmental impact of AI, especially in terms of energy and water use, is a significant concern
  2. Simple energy use math can help understand the resource footprint of AI models like image generation and gaming
  3. Assessing additionality and understanding scopes are crucial in evaluating the true impact of AI on resources like water and energy

The New Frontier in Power Redistribution

thezakelfassiexperiment • 0 implied HN points • 15 Jun 23
🕹 Technology AI Social media Tech Companies Future of work AI Models
  1. Historically, power shifts with technological changes, now AI is the game changer favoring established companies with resources.
  2. Social media platforms are evolving to focus on smaller, intimate communities through group messaging and content sharing.
  3. Future work landscape may value companies based on proprietary AI models rather than traditional metrics like employees or revenue.