Creează un cont pentru a te abona la acest blog și a-i urmări articolele pe pagina Lectură.
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I compensate for my poor intuition of how wooden pieces will hang by coding an interactive ornament builder and physics simulation.
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We condemn media created in massive volume with low effort by AI as slop, but it's the industrial software machine distributing the slop that's the problem.
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The book Soul of a New Machine follows a group of computer engineers developing a novel product.
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If someone writes an mp3 player in a forest (presumably on a laptop), does it make a sound?
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As I showed in my last article, LLMs can generate web sites in real-time, complete with rich CSS and images.
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In a previous article I joked about browsers generating pages with an LLM when the real server is slow.
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I produced a 580-byte monospace font that renders all code points in Unicode planes 0, 1, and 15 as empty glyphs.
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I've played a lot of Tower Defense over the years, starting with Desktop Tower Defense in 2007.
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I downloaded the entirety of Hacker News and fed it to DuckDB, ultimately uncovering the secret to building a successful startup (or at least to drawing attention to a successful article).
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You might have used an LLM to translate between high-level languages like Python to TypeScript, or Go to C#.
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I set out to write an article on how big O notation doesn't help to compare algorithms at small input sizes.
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One universal technique for getting software systems to perform faster is to make them do less work.
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SingleStore started as MemSQL (YC11) with a memory-optimized skiplist-based table structure.
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You've maintained an uneasy contract with the web for years -- you know web sites scrape every last byte of your information, but you tolerate it because it's invisible.
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Another article only two days later?
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Ever wonder how to build a scalable high-performance real-time application?
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Images here are powered by Tractor Loader, a glue library for NextJS and Sharp that enables inline image transformation in JSX or MDX, like !
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I designed and built some gift boxes out of maple, walnut and padauk.
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With only ChatGPT, a web browser, and a random topic, can I generate and load millions of rows of highly-tailored data into SingleStore and highlight key features, all in the space of 5 minutes?
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The JSON Schema project has fought the fight against schema-free JSON for many years.
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SingleStore now offers a novel scheduled jobs service, enabling any Python or SQL task to be run on a schedule.
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SQL makes writing UDFs for complex string, JSON, and blob manipulation awkward.
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The Streamlit project is an easy way to visualize data.
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You've probably seen the computer language benchmark game \-- but how about a real-time comparison in your browser?
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Faster AND Cheaper?
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I hate waiting for data loads.
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The magic of vector search comes from the model, but even today's most sophisticated models might still be at the "first year at Hogwarts" level.
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The location search on weather.bingo is fast.
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Did it rain yesterday?
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I recently wrote an article on the SingleStore Engineering Blog on our use of the BSON Data Type in SingleStore's latest release.
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Hundreds of readers wrote to complain about the sluggish performance of the slider on the previous article.
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NativeAOT-LLVM does not yet support SIMD through System.Numerics.Vector.
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DotNet WebAssembly has been tied up with the Blazor project which is an awkward fit for use cases that don't involve a Blazor UI.
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Most of the fun of having a personal website is in recreating it every few years...?