We’ll Ask The AI How to Make Money

We have no current plans to make revenue.

We have no idea how we may one day generate revenue.

We have made a soft promise to investors that once we’ve built a general intelligence system, basically we will ask it to figure out a way to generate an investment return for you.

Sam Altman to VCs in 2024

A video of this memorable moment … you can’t make this up.

We Don’t Want “Privacy”-“Enhancing” Technologies in Our Browsers

The current trend for privacy-enhancing technologies for surveillance in web browsers are going to be remembered as a technical dead end, an artifact of an unsustainable advertising oligopoly.

Don Martin has 10 succinct points on why users (aka we) don’t actually want so-called Privacy Enhancing Technologies (PET) … some technical, some social, some economic.

Best “AI”-Rant

Most organizations cannot ship the most basic applications imaginable with any consistency, and you’re out here saying that the best way to remain competitive is to roll out experimental technology that is an order of magnitude more sophisticated than anything else your I.T department runs, which you have no experience hiring for, when the organization has never used a GPU for anything other than junior engineers playing video games with their camera off during standup, and even if you do that all right there is a chance that the problem is simply unsolvable due to the characteristics of your data and business? This isn’t a recipe for disaster, it’s a cookbook for someone looking to prepare a twelve course fucking catastrophe.

How about you remain competitive by fixing your shit? I’ve met a lead data scientist with access to hundreds of thousands of sensitive customer records who is allowed to keep their password in a text file on their desktop, and you’re worried that customers are best served by using AI to improve security through some mechanism that you haven’t even come up with yet? You sound like an asshole and I’m going to kick you in the jaw until, to the relief of everyone, a doctor will have to wire it shut, giving us ten seconds of blessed silence where we can solve actual problems.

After some general ranting the author answers several common “reasons” why a company might want to use LLMs/AI tools.

Running Circles Around Detecting Containers

Recently my monitoring service warned me that my Raspberry Pi was not syncing its time any more. I logged into the devices and tried restarting systemd-timesyncd.service and it failed.

The error it presented was:

ConditionVirtualization=!container was not met

I was confused. Although I was running containers on this device, this was on the host! 😯

I checked the service definition and it indeed had this condition. Then I tried to look up the docs for the ContainerVirtualization setting and found out Systemd has a helper command that can be used to find out if it has been run inside a Container/VM/etc.

To my surprise running systemd-detect-virt determined it was being run inside a Podman container, although it was run on the host. I was totally confused. Does it detect any Container or being run in one? 😵‍💫

I tried to dig deeper, but the docs only tell you what known Container/VM solutions can be detected, but not what it uses to do so. So I searched the code of systemd-detect-virt for indications how it tried to detect Podman containers … and I found it: it looks for the existence of a file at /run/.containerenv. 😯

Looking whether this file existed on the host I found out: it did!!! 😵 How could this be? I checked another device running Podman and the file wasn’t there!?! 😵‍💫 … Then it dawned on me. I was running cAdvisor on the Raspberry Pi and it so happens that it wants /var/run to be mounted inside the container, /var/run just links to /run and independent of me mounting it read-only it creates the /run/.containerenv file!!! 🤯

I looked into /run/.containerenv and found out it was empty, so I removed it and could finally restart systemd-timesyncd.service. The /run/.containerenv file is recreated on every restart of the container, but at least I know what to look for. 😩

JavaScript History’s Future as Seen From 2022

Brian Sletten presents an overview of the WebAssembly landscape, the development direction and applications it enables. I can’t but notice that we’re really on the path to WebAssembly becoming the JavaScript-derived universal runtime Gary Bernhardt promised in 2014. 🤯

Aktivieren Sie JavaScript um das Video zu sehen.
https://www.youtube.com/watch?v=J3hK7O5Oc2Y