Centrist, progressive, radical optimist. Geophysicist, R&D, Planetary Scientist and general nerd in Winnipeg, Canada.

troyunrau.ca (personal)

lithogen.ca (business)

  • 21 Posts
  • 379 Comments
Joined 1 year ago
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Cake day: June 12th, 2023

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  • I love hitting these things in the real world. Not the big, but the comment. You just know someone spent a fortune in time and company resources to never solve the problem and their frustration level was ragequit. But then something stupid like adding

    while (0){};

    Suddenly made it work and they were like, fuckit.

    Usually it’s a bug somewhere in a compiler trying to over optimize or something and putting the line in there caused the optimization not to happen or something. Black magic.

    The downside is that the compiler bug probably gets fixed, and then decades later the comment and line are still there…










  • Your assertion that the document is malicious without any evidence is what I’m concerned about.

    At some point you have to decide to trust someone. The comment above gave you reason to trust that the document was in a standard, non-malicious format. But you outright rejected their advice in a hostile tone. You base your hostility on a youtube video.

    You should read the essay “on trusting trust” and then make a decision on whether you are going to participate in digital society or live under a bridge with a tinfoil hat.

    In Canada, and elsewhere, insurance companies know everything about you before you even apply, and it’s likely true elsewhere too. Even if they don’t have personally identifiable information, you’ll be in a data bucket with your neighbours, with risk profiles based on neighbourhood, items being insuring, claim rates for people with similar profiles, etc. Very likely every interaction you have with them has been going into a LLM even prior to the advent of ChatGPT, and they will have scored those interactions against a model.

    The personally identifiable information has largely been anonymized in these models. In Canada, for example, there are regulatory bodies like OSFI that they have to report to, and get audited by, to ensure the data is being used in compliance with regulations. Each company will have a compliance department tasked with making sure they’re adhering.

    But what you will end up doing instead is triggering fraudulent behaviour flags. There’s something called “address fraud”, where people go out of their way to disguise their location, because some lower risk address has better rates or whatever. When you do everything you can to scrub your location, this itself is a signal that you are operating as a highly paranoid individual and that might put you in a bucket. If you want to be the most invisible to them, you want to act like you’re in the median of all categories. Because any outlying behaviours further fingerprint you.

    Source: I have a direct connection to advanced analytics within insurance industry (one degree of separation).





  • Personal anecdote. I run a small business with a business partner (co-owner) and we have no employees. We need an employee. I’m personally a huge fan of employee-owned companies.

    But from a hiring perspective, it is mind bogglingly risky for us to hire someone and just automatically stake them. Like, what if it’s the wrong person? How do we claw back control? Do we risk dilution sending the company in another direction?

    It’s just so much easier just to pay someone and not have to deal with the complexity. And therein lies the rub.