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THE DAILY INDEX

Technology, AI, software, security, crypto and business

PROGRAMMING, DESIGN & DATA SCIENCE

TLDR

MY FAILED ATTEMPT TO SHRINK ALL NPM PACKAGES BY 5%

Developer Evan Hahn proposed an idea in 2022 that could decrease the size of all newly-published npm packages by about 5%. Despite it being completely backwards compatible, improving performance, and reducing storage costs, the npm maintainers rejected the proposal. Hahn had thought the idea was great until he received feedback - implementing his idea would be difficult and would make publishing much slower. The changes would also not retroactively apply to existing packages. After receiving feedback and thinking about the tradeoffs, Hahn felt that the idea wasn't worth it and closed the proposal.

META IS REPORTEDLY SCRAMBLING ‘WAR ROOMS' OF ENGINEERS TO FIGURE OUT HOW DEEPSEEK'S AI IS BEATING EVERYONE ELSE AT A FRACTION OF THE PRICE

Meta's Mark Zuckerberg responded to the release of DeepSeek R1 by assembling four war rooms of engineers to figure out how the Chinese hedge fund built the AI. DeepSeek's model may potentially outperform the next version of Meta's Llama AI due to be released in early 2025. Meta is working on deciphering how DeepSeek lowered the cost of training and running its model, finding out what data the Chinese lab used to train its model, and how Meta can restructure its models based on the attributes of the DeepSeek models. Zuckerberg recently announced that Meta would spend as much as $65 billion on AI-related projects in the coming year, just days after OpenAI, SoftBank, Oracle, and others announced a $500 billion White-house backed AI infrastructure project.

NVIDIA SHEDS ALMOST $600 BILLION IN MARKET CAP, BIGGEST ONE-DAY LOSS IN U.S. HISTORY

Nvidia experienced the biggest market cap drop for any company on a single day in US history on Monday when it lost close to $600 billion in market cap. Its stock price plummeted 17% and caused a 3.1% slide in the tech-heavy NASDAQ. The sell-off was sparked by DeepSeek presenting increased competition in the global AI industry. The Chinese AI lab released a free and open source large language model that only took two months and less than $6 million to build using Nvidia H800s. The release has caused investors to rethink spending on compute.

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