The hottest GenAI Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Year of the Big-Balled Rat

Marcus on AI • 2682 implied HN points • 14 Mar 24
🔬 Science GenAI AI Impact
  1. GenAI is causing issues in science, with errors in research papers being linked to AI
  2. Using AI for writing and illustration might have negative impacts on the quality and credibility of scientific research
  3. The use of LLMs in research articles could lead to a decline in reputation for journal publishers and potential consequences for the science community

My Expectations for AI in 2024

Bojan’s Newsletter • 196 implied HN points • 08 Jan 24
🕹 Technology AI GenAI AGI
  1. Expect the release of GPT-5 in 2024, marking a significant advancement in AI models.
  2. AI tools may reach the limit of LLM capabilities, requiring integration with other technologies for further progress.
  3. Anticipate practical advancements in AI in 2024, such as fixing hallucinations, reliable AI-generated content, and 3D GenAI systems.

Dark software: a new model for SaaS and fintech; Income statement: Visa, Mastercard, and American Express; Why the interest in Payfacs?;

Fintech Wrap Up • 58 implied HN points • 07 Feb 24
💰 Finance SaaS Payments GenAI
  1. Dark software is a new model for SaaS and fintech with a focus on hyper-specialized ICP, full stack product offering, and outsourcing products to minimize costs.
  2. Interest in Payfacs is driven by the need for embedded payments, ease of setting up payment capabilities, risk management, compliance support, and access to reporting tools.
  3. Income statements from Visa, Mastercard, and American Express show patterns of growth in consumer spending, new payment flows, digital innovations, and value-added services.

Cloud, Data, AI, GenAI

Laszlo’s Newsletter • 37 implied HN points • 03 Jan 24
🕹 Technology Cloud Data AI GenAI
  1. Cloud computing provides flexibility in resources and enables experimentation without high upfront costs.
  2. Establishing a strong data stack is crucial before implementing AI/GenAI to ensure data quality and reliable insights.
  3. Traditional AI involves well-defined tools for extracting business-relevant information from data, while generative AI like Prompt Engineering and Finetuning require sophisticated infrastructures and specific business goals.

Could Decision Trees Help With GenAI?

Bojan’s Newsletter • 137 implied HN points • 13 Mar 23
🕹 Technology AI ML GenAI
  1. Decision Trees are known for being accurate and robust in tabular data modeling.
  2. Generative AI systems can sometimes create inaccurate content, especially in domains where accuracy is crucial.
  3. Using tree-based ML models could potentially address issues of hallucination in Generative AI.
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