wrathofmonads

5 ms·

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by wrathofmonads 9mo ago
Oracle’s massive bet on OpenAI might be financially risky, but its investments in AI farms could accelerate Java’s evolution for AI. While Python dominates training, inference is where the money is. Projects like OpenJDK Babylon hint at a f
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by wrathofmonads 9mo ago
I sometimes wonder whether the political attitudes of some immigrants and their descendants are shaped by negative experiences or family histories from their countries of origin. This might help explain why people with backgrounds in places
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by wrathofmonads 9mo ago
Java 16+ stream.map(...).toList() https://bugs.openjdk.org/browse/JDK-8180352
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by wrathofmonads 9mo ago
Clojure has never been a popular language, nor has it aimed to be mainstream. That is the Lisp curse. It has never positioned itself as a "better Java". It shines in applications where immutable, consistent, and queryable data is
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by wrathofmonads 9mo ago
Kotlin hasn’t made much of an impact in server-side development on the JVM. I’m not sure where this perception comes from, but in my experience, it’s virtually nonexistent in the local job market.
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by wrathofmonads 10mo ago
Maven is excellent! Once you understand it, you can work with almost any Maven project without needing to learn the specifics. I’d take Maven or Cargo any day over anything in the JavaScript or Python ecosystem.
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by wrathofmonads 10mo ago
This has always been the case. The Java and C# ecosystems prioritise stability and scale. They wait for ideas to prove themselves in other languages like Erlang, Python, Go, Scala, and so on, and then adopt the successful ones. Last-mover a
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by wrathofmonads 10mo ago
Java was doing "cloud-native, stripped down (jlink) image, self-contained runtime with batteries included" long before Bun existed. There's also GraalVM for one executable binary if one's ambitious.
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by wrathofmonads 10mo ago
In simulations or in game dev, the practice is to use an SoA data layout to avoid aliasing entirely. Job systems or actors are used for handling multithreading. In machine learning, most parallelism is achieved through GPU offloading or CPU
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by wrathofmonads 10mo ago
The real barrier is the C++ ecosystem. It represents the cost of losing decades of optimized, highly integrated, high-performance libraries. C++ maps almost perfectly to the hardware with minimal overhead, and it remains at the forefront of
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by wrathofmonads 10mo ago
Gemini and other agents are now failing when they search for something on the web. ChatGPT can't even be accessed.
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by wrathofmonads 10mo ago
Seems like Windows is trying to address the Electron problem by adopting React Native for their WinAppSDK. RN is not just a cross-platform solution, but a framework that allows Windows to finally tap into the pool of devs used to that decla
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by wrathofmonads 11mo ago
What’s your take on older languages gaining new life in production because of ecosystem improvements? I’m thinking of Python, which for most of its 34 year history wasn’t always a go-to choice, but nowadays its ecosystem is being scaled wit
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by wrathofmonads 11mo ago
Mojo has a different scope than Julia and Python, it targets inference workloads. Polars is a dataframe library. Yes, it features vectorized operations, but it is focused on columnar data manipulation, not numerical algorithm development. I
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by wrathofmonads 11mo ago
Ecosystems matter, but runtimes do as well. Take Java, for instance. It didn’t have to wrap C/C++ libraries, yet it became synonymous with anything data-intensive. From Apache Hadoop to Flink, from Kafka to Pulsar. Sure, this is mostly
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by wrathofmonads 11mo ago
I don't think Julia was designed for pure overhead projects in memory-constrained environments, or for squeezing out that last 2% of hardware performance to cut costs, like C++, Rust or Zig. Julia is the language to use in 2025 if what