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I’ve recently started building a POC of a Redis RESP3 Wire Compatible Key/Value Database built on FoundationDB with @calabro.io and though it’s rather early, it’s already spawned a fun distributed systems problem that I thought would be interesting to sha…
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Often when designing systems, we aim for perfection in things like consistency of data, availability, latency, and more.
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Bluesky recently saw a massive spike in activity in response to Brazil’s ban of Twitter.
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Over the past few weeks, I’ve been building out server-side short video support for Bluesky.
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In Part 1 of this series, we tried to answer the question “who do you follow who also follows user B” in Bluesky, a social network with millions of users and hundreds of millions of follow relationships.
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I recently shipped a new revision of Bluesky’s global AppView at the start of February and things have been going very well.
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For the past few months I’ve been working alongside Why, Jacob, Dan, and Divy on a new revision of Bluesky’s global AppView.
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Caches are a wonderful way to make your most frequent operations cheaper.
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I’ve been continuing to work on a growing series of services that archive, analyze, and represent data from a social network.
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I’ve been working on a growing series of services that archive, analyze, and represent data from a social network.
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There’s been a lot of hype about Large Language Models (LLMs) lately with lots of cool examples of people using tools like ChatGPT to draft Python scripts, Go code, and all sorts of other useful things.
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As discussed in my previous post, LLMs such as OpenAI’s ChatGPT and GPT-4, Google’s Bard, and Meta’s LLaMA have risen seemingly out of nowhere, poised to disrupt the future of computing.
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In the digital landscape of recent years, two major technologies have vied for the spotlight: the Metaverse and Large Language Models (LLMs).