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Rami's Readings #45

Welcome to Rami’s Readings #45 - a weekly digest of interesting articles, papers, videos, and X (formerly known as Twitter) 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.



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NeurIPS is next week, so expect many announcements from industry AI players. As per my vacation notice, I will not be publishing next Sunday due to the holidays. I will do my best to send a few special newsletters before January 13th.

See the prompt in the footnotes1. I am surprised DALL·E 3 generated the text correctly this time.

🤖 AI Reads

I am skipping some competitor news this week (see #7).

NY Times Missed These 12 Trailblazers: Meet the Women Transforming AI

Notes: Professor Joelle Pineau is a rockstar. I regret not being able to take her class while at McGill Engineering.

MLX

Notes: Apple has entered the conversation in typical Apple fashion.

Mistral Dropped Mixtral-8x7B

Notes: Mistral, not taking notes from BigTech, dropped a model via tweet to a Magnet link with no blog post or announcement AFAIK. Great conversations on HN. See Andrej Karpathy’s tweet.

Magicoder: Source Code Is All You Need

Notes: Fully open-source including code, weights, and data while having ≤ 7B parameters. See GitHub repo. Small enough to run entirely locally on a RTX 4090 or a M1.

Nash Learning from Human Feedback

Notes: Interesting.

New RAG Optimized Mistral, Yi, LLaMa 🐲 Dragon Series Models

Notes: I can’t find the paper, but the models themselves are on HuggingFace.

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Notes: More light-weight SAM models.

LLM Visualization

Notes: Fantastic visualizations of various LLM architectures.

Alibaba’s 72B-Parameter Model: Qwen-72B

Notes: Another LLM from China. Currently, I am partial to 01-ai’s Yi-34B - smaller in size and has fantastic performance.

💼 Business Reads

How Suspects Laundered Billions in Singapore for Years

Notes: Must read.

Confessions of a Middle-Class Founder

Notes: Long read summarizing feelings many founders expressed to me

Why DeepMind Cofounder Mustafa Suleyman Left Google to Start a Human-focused AI Company

Notes: Old, but good.

That is all for this week. Signing off from Redmond, WA.