stevecrox

Basic rule if someone claims X magically solves a problem they don’t follow X and are a huge generator of the problem.

For example people who claim they don’t need to write comments because they write self documenting code are the people that use variable names x1,x2,y, etc…

Similarly anyone you meet claiming Test Driven Development means they have better tests will write code with appalling code coverage and epically bad tests.

Mint was a reaction to Gnome 3, the unique workflow upset a lot of people and the people behind Mint decided to build Cinnamon desktop (its Gnome 3 made to look/work like Gnome 2). They needed a distribution to build/test their work and so based a distribution off of Ubuntu and called it Mint.

As a bit of explanation, there are only a few projects which attempt to build an entire linux distribution from scratch. This involves finding code from thousands of sources, work out packaging, etc… We call these ‘base’ distributions, Debian is the base distribution for Ubuntu, Ubuntu is the base distribution for Mint.

Ubuntu tends to be slightly ahead of Debian in the software versions it uses and automatically enables the ‘non-free’ repositories. Ubuntu tends to push some Canonical specific things like Snaps (which everyone hates)

I believe Mint rolls the Canonical specific things out of Ubuntu and you get the latest version of Cinnamon.

Its all a bit…

If its for work I would suggest picking a “stable” distribution like Debian, Kubuntu or OpenSuse.

A lot of people recommend Arch or Fedora but the focus of those is getting the very latest releases, which increases your chance of stuff breaking.

A lot of people will suggest niche distributions, those can be great for specific needs but generally you will always find Debian/Ubuntu/RHEL support for commercial apps.

I would also suggest looking at the KDE Desktop, many distributions default to Gnome but it is unique in how it works, KDE (or XFCE) will provide a desktop similar to Windows 11.

Lastly I would suggest looking at Crossover Linux by Codeweavers.

Linux has something called WINE, its an attempt to implement the Windows 95 - 11 API’s so windows applications can run on linux.

WINE is how the Steam Deck/Linux is able to play Windows games. Valve embedded it into Steam and called it “Proton”.

WINE is primarily developed by Codeweavers and they provide the Crossover application that makes setting up and running a Windows application really easy.

People will mention Lutris but that has a far higher learning curve.

There is an application database so you can see in advance if your applications would work: https://appdb.winehq.org/

This advice isn’t grounded in reality.

Management normally defines ways to track and judge itself, these are typically called Key Performance Indicators.

KPI’s are normally things like contract value growth, new contracts signed, profit margin, etc…

So if the project manager is meeting or exceeding their KPI’s and you walk up to their boss telling them the PM is failing as basic job functions, the boss won’t care.

This is because the boss might have set the KPI’s or the boss might also be judged on them. In either situation its to the bosses advantage to ignore you.

The boss will only care if there is a KPI you can demonstrate the PM failing to meet.

Every person/group will have various incentives and motivations. To affect change you have to understand what they are.

Wikipedia lists all 12 subs as having Rolls Royce Pressured Water Reactors.

Your PWR reuse idea is is kind of where Rolls Royce is looking to go with Small Modular Reactors (https://www.rolls-royce.com/innovation/small-modular-reactors.aspx).

I suspect refurbishing decades old PWR reactors would be far more expensive than just building new ones, for example a SpaceX Merlin engine costs $1 million and a Blue Origin BE-4 costs $15 million. Nasa argued it would be ‘cheaper’ to reuse Shuttle components for the Space Launch System (SLS). Refurbishing Shuttle RS-25 engines has cost Nasa $50 million dollars per engine, restarting a production line is costing $100 million for each new RS-25 engine.

A project manager has responsibility for delivery of a project but they typically lack domain specific knowledge. As a result they can’t directly deliver something, merely ask subject matter experts for advice and facilitate a team to deliver.

Most PM’s cope with the stress of this position poorly.

This cartoon is an example of micro management (a common coping mechanisim), the manager has involved themselves in the low level decisions because that gives a sense of control. If a technical team then tell them its a bad decison the team are effectively attacking their coping mechanisim.

The solution isn’t to tell them their technical idea is terrible, when you’ve fallen down this rabbit hole you have to treat the PM as a stakeholder. They are someone you have to manage, so a common solution is to give them confidence there is a path to delivery, a way to track and understand it.

SpaceX are launching 26-52 satellites at a time and have sustained 3 launches a week for most of the year.

The satellites are in a Low Earth Orbit, without constant thrust, atmospheric drag will force them to re enter earths atmosphere within a few months. This means they aren’t adding to junk in space.

Unlike Nasa, ULA, Arriannespace, RoscosMos, etc… SpaceX have always performed 2nd Stage Deorbit burns, so they aren’t adding to Space junk by launching either.

The Low Earth Orbit is to ensure low latency and the need for constant thrust means the satellites have a short life expectancy by design. That is why SpaceX fought to keep the satellites as cheap as possible (e.g. $250k)

First stage booster reuse and fairing reuse means the majority of the launch cost is the second stage ($15 million).

The whole lot is privately funded

SpaceX have funded it privately. It apparently started operating at a profit this year.

During the pandemic I had some unoccupied python graduates I wanted to teach data engineering to.

Initially I had them implement REST wrappers around Apache OpenNLP and SpaCy and then compare the results of random data sets (project Gutenberg, sharepoint, etc…).

I ended up stealing a grad data scientist because we couldn’t find a difference (while there was a difference in confidence, the actual matches were identical).

SpaCy required 1vCPU and 12GiB of RAM to produce the same result as OpenNLP that was running on 0.5 vCPU and 4.5 GiB of RAM.

2 grads were assigned a Spring Boot/Camel/OpenNLP stack and 2 a Spacy/Flask application. It took both groups 4 weeks to get a working result.

The team slowly acquired lockdown staff so I introduced Minio/RabbitMQ/Nifi/Hadoop/Express/React and then different file types (not raw UTF-8, but what about doc, pdf, etc…) for NLP pipelines. They built a fairly complex NLP processing system with a data exploration UI.

I figured I had a group to help me figure out Python best approach in the space, but Python limitations just lead to stuff like needing a Kubernetes volume to host data.

Conversely none of the data scientists we acquired were willing to code in anything but Python.

I tried arguing in my company of the time there was a huge unsolved bit of market there (e.g. MLOP’s)

Alas unless you can show profit on the first customer no business would invest. Which is why I am trying to start a business.

This is why Java rocks with ETL, the language is built to access files via input/output streams.

It means you don’t need to download a local copy of a file, you can drop it into a data lake (S3, HDFS, etc…) and pass around a URI reference.

Considering the size of Large Language Models I really am surprised at how poor streaming is handled within Python.