Rami's Readings #85 - Forget the ‘Damn Number.’
The latest on the AI, LLMs, RAG, Agent Libraries, Canadian Banks & AI Adoption, Jamie Dimon, and more.
Welcome to Rami’s Readings #85 - a weekly digest of interesting articles, papers, videos, and X threads from my various sources across the Internet. Expect a list of reads covering AI, technology, business, culture, fashion, travel, and more. Learn about what I do at ramisayar.com/about.
I am traveling this week, so the newsletter is shorter than usual. Enjoy!
🤖 AI Reads
Zyphra Released Zamba2-7B
Notes: Reportedly beats Llama3 and Mistral 7B on benchmarks.
Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence
Notes: Interesting concept, but how does one choose the right utility function for their problem. From University of Washington and Google.
Agent S: An Open Agentic Framework that Uses Computers Like a Human
Notes: Another LLM agent framework to consider adding to my list last week. GitHub Repo.
Lenovo showcases Smarter AI
Notes: Edge-AI is here, today! Yet another OEM announcement showcasing local AI.
💼 Business Reads
Canadian Banks Pull Further Ahead on AI Adoption, New Report Finds
Notes: Great to see Canadian banks accelerate their AI adoption.
The Digital Privacy Paradox: Small Money, Small Costs, Small Talk
Notes: Prof. Tucker from MIT published this paper on privacy a few years ago. I am thinking about privacy and user experience when it comes to AI. Do you have any opinions to share?
The Short History of Global Living Conditions and Why It Matters That We Know It
Notes: Data visualizations to explore and understand living conditions outside of North America.
Jamie Dimon Is Right. Forget the ‘Damn Number.’
Notes: Great read on Bloomberg about the overemphasis on models in finance. I think about forgetting or ignoring the data often, problems with data tend to be forgotten in day to day work. Also, the amount of times I find the data was incorrectly collected is too frequent. I encourage everyone to develop their intuition just as much as their data fluency.
Signing off from Cambridge. Marielena also signs off on this email.