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Amazon is offering the SiriusXM Roady BT In-Vehicle Satellite Radio Kit for $69.99 shipped. Down 30% from its normal going rate at Amazon, today’s deal marks a new low that we’ve tracked there and is also the first discount all-time at the retailer. Designed to deliver in-vehicle entertainment, the Roady BT satellite radio installs in your car and connects to your stereo through Bluetooth, 3.5mm aux, or over a built-in FM transmitter. You can choose to mount it via a magnetic vent or dash adapter and there’s an additional mounting system that’s sold separately should you need it. Plus, it comes with a three month free trial of Sirius XM or you could opt for 12 months of the brand’s Platinum Programming Package for $99. Keep reading for more.

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Anthropic introduces Claude 3.5 Sonnet, matching GPT-4o on benchmarks

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The Anthropic Claude 3 logo, jazzed up by Benj Edwards.

Enlarge (credit: Anthropic / Benj Edwards)

On Thursday, Anthropic announced Claude 3.5 Sonnet, its latest AI language model and the first in a new series of "3.5" models that build upon Claude 3, launched in March. Claude 3.5 can compose text, analyze data, and write code. It features a 200,000 token context window and is available now on the Claude website and through an API. Anthropic also introduced Artifacts, a new feature in the Claude interface that shows related work documents in a dedicated window.

So far, people outside of Anthropic seem impressed. "This model is really, really good," wrote independent AI researcher Simon Willison on X. "I think this is the new best overall model (and both faster and half the price of Opus, similar to the GPT-4 Turbo to GPT-4o jump)."

As we've written before, benchmarks for large language models (LLMs) are troublesome because they can be cherry-picked and often do not capture the feel and nuance of using a machine to generate outputs on almost any conceivable topic. But according to Anthropic, Claude 3.5 Sonnet matches or outperforms competitor models like GPT-4o and Gemini 1.5 Pro on certain benchmarks like MMLU (undergraduate level knowledge), GSM8K (grade school math), and HumanEval (coding).

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