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Biden’s budget proposes more revenue for Medicare and expanded coverage in Medicaid and Obamacare.

By BY MARGOT SANGER-KATZ from NYT U.S. https://ift.tt/k2wBLeT
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Latvia is sending cars seized from drunken drivers to Ukraine.

By BY EMMA BUBOLA from NYT World https://ift.tt/H2ILbMz
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New top story on Hacker News: Show HN: Livecycle – Get visual feedback, in context, on every pull request

Show HN: Livecycle – Get visual feedback, in context, on every pull request 38 by assafk | 10 comments on Hacker News. Hi HN! This is Assaf, Matan, and Yshay from https://livecycle.io/ Livecycle enables dev teams to collaborate and comment in context, on top of any preview environment. Using Livecycle, developers get clear feedback earlier in the release cycle leading to higher-quality products, a faster release cadence, and fewer context switches and misunderstandings. Livecycle builds and pushes a dev-like environment for every branch in your repo (or, if you prefer, you can bring your own environments). Any containerized application will work, and support for multiple containers via docker-compose is coming soon. You get a unique, shareable link for every branch, which automatically updates for every commit pushed to that branch. Each link contains not only your deployed environment but also includes: - A dashboard to view and manage all of your environments and users - Collabora
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Pentagon Blocks Sharing Evidence of Possible Russian War Crimes With Hague Court

By BY CHARLIE SAVAGE from NYT U.S. https://ift.tt/w0ZkF9d
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New top story on Hacker News: Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT

Show HN: BBC “In Our Time”, categorised by Dewey Decimal, heavy lifting by GPT 3 by genmon | 0 comments on Hacker News. I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I asked for a Dewey classification... and it worked. So I replaced a few days of fiddly work with 3 cents per inference and an overnight data run. My takeaway is that I'll be using LLMs as function call way more in the future. This isn't "generative
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