Peter’s Substack | Revenue & Trends

The hottest Substack posts of Peter’s Substack

And their main takeaways

There may not be radical AI product advancements in 2024, with progress mainly focused on existing technologies.
For AI to have a significant impact, there needs to be a clear thesis of how it can make things significantly better.
Future progress in AI could be seen through enhancing existing products, deepening vertical AI applications, developing new datasets, and creating new physical interfaces.

When building ML projects, sometimes off-the-shelf components are enough.
Experimentation is crucial in ML projects to drive progress and achieve results.
In a successful ML team, having a mix of researchers and research engineers is key for designing experiments and executing them effectively.

Generality vs. Robustness vs. Value is important in AI product development.
Start with narrow fragile applications for quick development.
Collect user data for improvement and iterate to increase generality and robustness.

AI technology is improving but mostly in small ways, with major breakthroughs not happening just yet. Many tools are getting faster and cheaper, making them easier to use.
New datasets and improved video generation are exciting developments. Companies like Microsoft and Apple are working on systems that learn from our daily computer use to help automate tasks.
The future of AI holds two possibilities: gradual improvements with existing technology or significant breakthroughs that could change everything. Both paths are possible, so it's important to be ready for either outcome.