ai-efficiency

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Localmaxxing (3 minute read)

TLDR AI · 3d ago Cached

The article analyzes the viability of running AI inference locally on a MacBook Pro, comparing a local Qwen 35B model against the cloud-based Claude Opus 4.5. It concludes that local models are 2x faster for routine tasks, making them a practical choice for half of daily workloads despite a slight capability gap.

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#ai-efficiency

Using AI to improve patient access to clinical trials

OpenAI Blog · 2024-03-06 Cached

Paradigm leverages GPT-4's natural language understanding to dramatically improve patient screening for clinical trials, enabling evaluation of hundreds of patients per minute compared to manual review of ~50 per day, reducing clinician burden and improving patient access to treatments.

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#ai-efficiency

AI and efficiency

OpenAI Blog · 2020-05-05 Cached

OpenAI analyzes trends in AI algorithmic efficiency, showing that compute required to reach AlexNet-level performance has halved roughly every 16 months since 2012, outpacing hardware gains. The study draws comparisons across domains like DNA sequencing and transistor density to contextualize AI progress.

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