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Rami's Readings #157 - DeepSeek & France

Welcome to Rami’s Readings #157 - 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.


👋🏼 Welcome New Subscribers

Hello! A hearty thank you for subscribing to Rami’s Readings! There are quite a few new subscribers this week, thanks to recommendations from The AI Ethics Brief, Product Byte, The VC Corner and from the AI in Action Conference in Montréal. I am thrilled to have you on board! In this newsletter, I curate the best papers, tweets, and articles I have read during the week focusing on LLMs, AI, economics, business, and technology news. You can learn more about me on my website.


🤖 AI Reads

DeepSeek-V4.1-Flash-1017

Notes: DeepSeek released a new version of their flash model. You can download the model checkpoint from HuggingFace. DeepSeek Pushes Out Updated AI Model It Says Is Faster, Leaner. Their new Search and Fetch API might be more interesting for subscribers to check out.

Introducing Timestral

Notes: Mistral released a time-series foundation model beating Google’s TimesFM-3 on a few benchmarks.

UltraBERT-Embed-150M

Notes: New dense embedding model. Cohere and others released embedding models recently, so I am not convinced of the SOTA claim.

Google’s Harness2

Notes: A framework for a recursive coding harness from Google.

OpenCode 2.0

Notes: A significant overhaul with a new client-server architecture and developer quality of life improvements. I’m upgrading my multi-agent setup scripts.

GLiClass v4: Multimodal, Instruction-Following Encoders for Every Decision

Notes: Neat model family for the GLiNER ecosystem.

💼 Business Reads

France Struggles to Contain Fallout From Nationwide Protests

Notes: The situation does not seem to be improving across the country. There are debates about intervention. Bond yields are high. Still not a good situation. Read #156 and #154.

People sit at tables outside a parisian restaurant
Photo by Pavel Abramiankou on Unsplash

AI’s Giant Money Loop Is Drawing Foreign Cash Like 2008

Notes: Fascinating article if you have any interest in South Korea.

AI Risk Is Everywhere and It’s Making Billion Dollar Funds Nervous

Notes: I am increasingly uncomfortable with my own portfolio’s diversification.

🔀 Other Reads

The Teal Programming Language

Notes: Statically-typed dialect of the Lua programming language.

Signing off from Redmond, WA.