💎 Why I Love OCaml (2023)
A passionate reflection on OCaml’s enduring elegance — a must-read for developers seeking clarity and expressiveness in statically typed languages.
The author celebrates OCaml as an underrated programming gem, praising its lightning-fast compilation, robust type system, expressive functional syntax, and refined module architecture. Compared with Haskell and Go, OCaml strikes an impressive balance between simplicity, performance, and expressive power.
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🧬 James Watson Has Died
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📬 Gmail’s AI Is Getting Too Intrusive
An insightful critique of AI overuse in productivity tools, highlighting growing concerns about user control and consent in automated software.
The post criticizes Gmail’s AI writing feature for pre-filling emails automatically, forcing users to remove irrelevant text. The author calls it intrusive and poorly designed, suggesting it reflects Google’s overreach in automation.
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🧠 A.I. and Social Media Contribute to ‘Brain Rot’
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🧠 SelfHostLLM – GPU Memory Calculator for LLM Inference
A concise, practical resource for AI engineers optimizing GPU performance in LLM deployments.
A technical guide that helps estimate GPU memory requirements for large language model inference. It outlines formulas for VRAM, model memory, and cache usage, providing examples for standard and Mixture-of-Experts architectures while explaining how quantization and context length affect capacity.
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