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THE DAILY INDEX

Technology, AI, software, security, crypto and business

HEADLINES & LAUNCHES

TLDR AI

FINE-TUNING LLMS TO 1.58BIT: EXTREME QUANTIZATION MADE EASY

BitNet, developed by Microsoft Research, introduces a transformer architecture that reduces LLM computational and memory requirements by using ternary precision (-1, 0, 1) equating to 1.58 bits per parameter. Models are required to be trained from scratch. BitNet can also fine-tune existing models to this low-precision format, maintaining strong performance on downstream tasks. This approach significantly reduces energy consumption and improves inference speed using specialized kernels for efficient matrix multiplication.

25% OF SMARTPHONE OWNERS DON'T WANT AI AS APPLE INTELLIGENCE DEBUTS

A CNET survey revealed that only 18% of smartphone users are motivated by AI features to upgrade their devices, with privacy and cost being significant concerns. Major manufacturers like Apple, Google, and Samsung are integrating more AI capabilities in their phones, yet many users prioritize battery life and storage over AI functions. AI subscriptions are set to become common, but nearly half of users are unwilling to pay for these features.

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