As someone who bought Half Life 2 when it was released …

I only remember people being excited about Steam, Web stores weren’t a thing back then and they were the future! (It was the following years of audio and ebook stores locking stuff down and evapourating that taught us to hate it).

Game/Audio CD DRM hacking the kernel and breaking/massively slowing down your PC was pretty common back then and Steam’ s DRM didn’t do that.

The HL2 disc installer didn’t require you to install Steam, once installed it asked you to setup Steam and there was a sticker under the DVD with the Steam code for you to enter.

You were then rewarded with a copy of HL2 Deathmatch and Counterstrike Source.

Steam wasn’t always on DRM, back then ADSL/DSL was relatively new and alot of people were still stuck on Dial Up modems.

Steam let you sign in and authorize your games for 30 days at which point you would need to log into Steam again. This was incredibly helpful feature for young me.

Basically Epic like every other publisher has created their own launcher/store.

They aren’t trying to compete on features and instead using profits from their franchise to buy market share (e.g. buying store exclusives).

The tone and strategy often comes off as aggressive and hostile.

For example Valve was concerned Microsoft were going to leverage their store to kill Steam. Valve has invested alot in adding windows operability to Linux and ensuring Linux is a good gaming platform. To them this is the hedge against agressive Microsoft business practices.

The Epic CEO thinks Windows is the only operating system and actively prevents Linux support and revoked Linux support from properties they bought.

As a linux user, Valve will keep getting my money and I literally can’t give it to Epic because they don’t want it.

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.

Thats two hundred years and would cover the end of Plantagenet reign and the Tudor era.

Henry VIII reign happened during that period, at the beginning of your time period everyone would be catholic and at the end Queen Mary of Scotts was executed because the idea of a Catholic on the throne was unthinkable.

The UK is littered with castles and estates, normally they focus on specific historic events which happened at that location.

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.

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.

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.