Product Overview - Nike and Hyperice collaborated to create Hyperboots, designed for athlete warm-up, recovery, and training using heat and compression [1] - The Hyperboots are priced at $900 [1] Claims & Testing - The Hyperboots are claimed to aid in warm-up, recovery, and overall training [1] - CNET's "Prove It" series tests the claims of the Hyperboots, focusing on temperature and compression ranges, and providing test data comparing performance with and without the boots [1] Target Audience - The Hyperboots are popular among professional athletes, but the review assesses their potential benefits for amateur distance runners [1]

Deepseek OCR Key Features - Deepseek OCR is a novel approach to image recognition that compresses text by 10x while maintaining 97% accuracy [2] - The model uses a vision language model (VLM) to compress text into an image, allowing for 10 times more text in the same token budget [6][11] - The method achieves 96%+ OCR decoding precision at 9-10x text compression, 90% at 10-12x compression, and 60% at 20x compression [13] Technical Details - The model splits the input image into 16x16 patches [9] - It uses SAM, an 80 million parameter model, to look for local details [10] - It uses CLIP, a 300 million parameter model, to store information about how to put the images together [10] - The output is decoded by Deepseek 3B, a 3 billion parameter mixture of experts model with 570 million active parameters [10] Training Data - The model was trained on 30 million pages of diverse PDF data covering approximately 100 languages from the internet [21] - Chinese and English account for approximately 25 million pages, and other languages account for 5 million pages [21] Potential Impact - This technology could potentially 10x the context window of large language models [20] - Andre Carpathy suggests that pixels might be better inputs to LLMs than text tokens [17] - An entire encyclopedia could be compressed into a single high-resolution image [20]

BITCOIN COMPRESSING IN LATE Q3.YOU KNOW WHAT THAT MEANS. https://t.co/1lEKxJlDQS ...

I think that we'll see some more chop occur on $ETH.I don't know whether we'll dip as deep as $3,550-3,750, but I'm sure that we'll start to see:- 20-Week MA is getting closer.- Compression is building up --> Big move to occur at a later time.It's now down nearly 20% from the high, not a bad spot to be accumulating your first positions. ...

Content Focus - The content primarily focuses on sharing tutorials and insights related to Data Science (DS), Machine Learning (ML), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAGs) [1] - The author shares explanations and code related to compressing ML models [1] Social Engagement - The author encourages readers to reshare the content [1] - The author provides their social media handle (@_avichawla) for further engagement [1]