https://www.johndcook.com/blog/2026/04/13/the-smallest-math-library/ #reinventingthewheel #mathoperations #ultimatequestion #mathfun #innovation #HackerNews #ngated
A tale from the IT crypt, thanks to another thread on re-inventing grep…
Back in the pre-Y2K era of the NT Affinity boondoggle, a development team was tasked with creating the “DIGITAL OpenVMS Disk Services for Windows NT” (NTDS) remote storage system for Windows NT clients.
Imagine creating an NFS server, and creating NFS clients for Windows NT, all allowing access to a hardware storage pool available on some bigger not-NT server.
This product was being newly created too, so a fairly extensive new-development project split across the server-related development work, and the NT client work.
In one meeting early on, I’d pointed out this was all quite literally re-inventing NFS, and so using an existing (or modified) NFS server could probably speed up the whole product release.
Was told no, the server only accessed arbitrary blocks in one (partition) file on the host, so definitely not at all like NFS.
Okay, but accessing arbitrary blocks in one file is a proper subset of accessing arbitrary blocks in multiple files, right?
Was told no; totally different. But never did get any explanation why NTDS was all so assuredly and totally different from NFS.
🙄
The NTDS project wasn’t a particular success with customers though (and a similar outcome with NT Affinity more generally), so shortening the schedule and saving some development wasn’t a factor in that (un)success.
#retrocomputing #TalesFromTheITCrypt #ReinventingTheWheel #openvms
TECH HOUR: Warehousing Your Data: A No-Nonsense Guide to the Right DBMS in 2026
In 2026, the guide evaluates top database management systems for effective data warehousing, focusing on backfilling dimensional tables. Snowflake is praised for its ease of use and innovative features, while Oracle excels in reliability for enterprises. PostgreSQL appeals to budget-conscious users seeking straightforward functionality, making it a solid choice for mid-sized warehouses.TECH HOUR: Snowflake’s Cortex Code: The Agentic Reckoning
Cortex Code: The Agentic Reckoning, Or, How Snowflake Finally Gave Data Engineers a Break from Their Existential Crisis (Now With 300% More Technical Guts) Martyn Rhisiart Jones, Madrid, Thursday 26th March 2026 Yesterday I attended Snowflake's breakfast date in Madrid, and here are some of the great things I learned. So, without more ado... Listen up, you glorious data martyrs, you noble sufferers who’ve spent years knee-deep in the festering swamp of undocumented ETL pipelines, chasing lineage graphs that resemble a deranged spider on acid after a three-day bender, and muttering dark incantations at 3 a.m. because some crusty Python script decided “customer churn” meant “every table that vaguely smells like a customer, plus that one VIEW nobody documented since 2019.” I stand before you today, your erudite, slightly unhinged technical prophet (with a heavy dose of stand-up bile and a side order of schema diagrams), to deliver the good news: Snowflake has unleashed Cortex Code, the AI coding agent that doesn’t just autocomplete your misery, it inhales it, digests the entire governed data estate, and burps back production-grade, hallucination-free SQL, Python, and dbt YAML while respecting your PII tags and warehouse economics like a paranoid compliance officer on Red Bull. This isn’t your garden-variety Copilot having another existential meltdown over a missing import. This is Code Context incarnate, an agentic beast that has swallowed the Horizon Catalogue whole, metadata, lineage graphs, semantic layers, role-based access controls, Dynamic Table lag policies, and the soul-crushing reality of your credit burn rate. […]https://goodstrat.com/2026/03/26/tech-hour-snowflakes-cortex-code-the-agentic-reckoning/
Looking at https://www.youtube.com/@htme it apparently takes a very small group of people only about 10 years to make it from scratch to quite a surprising amount of todays technology.
I kinda expected them to not even make it half the way in that time. But apparently if you know what you're building it is millennia faster than when you don't...

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