The hottest GenAI Substack posts right now

Oscillation occurs when systems swing between extremes, like adjusting a thermostat. A delay between making a change and feeling the effect can cause back-and-forth adjustments.
In nature, predator and prey populations can also oscillate, like rabbits and hawks. More rabbits lead to more hawks, which eventually can cause the rabbit population to drop, repeating the cycle.
Calls for comprehensive documentation in software may lead to oscillation. As information decays over time, teams might swing between needing more documentation and finding fewer resources to support that need.

GenAI is causing issues in science, with errors in research papers being linked to AI
Using AI for writing and illustration might have negative impacts on the quality and credibility of scientific research
The use of LLMs in research articles could lead to a decline in reputation for journal publishers and potential consequences for the science community

Expect the release of GPT-5 in 2024, marking a significant advancement in AI models.
AI tools may reach the limit of LLM capabilities, requiring integration with other technologies for further progress.
Anticipate practical advancements in AI in 2024, such as fixing hallucinations, reliable AI-generated content, and 3D GenAI systems.

Decision Trees are known for being accurate and robust in tabular data modeling.
Generative AI systems can sometimes create inaccurate content, especially in domains where accuracy is crucial.
Using tree-based ML models could potentially address issues of hallucination in Generative AI.

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.
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.
Income statements from Visa, Mastercard, and American Express show patterns of growth in consumer spending, new payment flows, digital innovations, and value-added services.

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Cloud computing provides flexibility in resources and enables experimentation without high upfront costs.
Establishing a strong data stack is crucial before implementing AI/GenAI to ensure data quality and reliable insights.
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.

Platforms should consider setting rate limits and circuit breakers to increase participation of representative voices and decrease exposure to divisive content.
Design changes should prioritize quality-based content rankers over engagement-based ones to promote positive user experiences and minimize exposure to harmful content.
Promoting and amplifying authoritative content about elections can help platforms combat misinformation and build trust with users.