Team pocket is an independent Machine Learning and Artificial Intelligence Lab. We aim to become a new age applied AI R&D lab focused on creating end-user products based on foundational research.
Motivation
We believe that execution (taking one baby step at a time) is more valuable than over-planning.
Matt Ridley, author of "How Innovation Works," emphasizes the importance of viewing innovation as an incremental, bottom-up process driven by human exchange, rather than a top-down, planned approach. Discover more about Matt Ridley.
We live by this idea.
Watch this video to understand Matt's perspective: How Innovation Works
Lessons from History’s Greatest R&D Labs
Eric Gilliam's article on Lessons from history’s greatest R&D labs provides valuable insights into the factors that contributed to the success of some of the most renowned research and development labs in history.
Gilliam explores the common traits and practices that these labs shared, such as fostering a culture of curiosity, encouraging interdisciplinary collaboration, and maintaining a long-term vision. He also highlights the importance of providing researchers with the freedom to explore and experiment without the pressure of immediate results.
By understanding and applying these lessons, modern R&D labs can enhance their innovation processes and drive significant advancements in their respective fields.
Why work on AI when large AI labs exist?
- Unlike labs focused on AGI, we are focused on users of AI-based products
- We like to focus on niche use cases ("LLM as Judge", patents analytics, scientific softwares etc). The market for these is way smaller for large labs to work on, or even consider.
Products
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AdTestPro
An Open Source Tool To Preemptively Test Ad Creatives Against Synthetic Target Audiences
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Hacker News Bio Reranker
A free tool to get recommendations from the Hacker News front page, ranked in the order of your interests