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Cake day: August 7th, 2023

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  • Not for the rapid update that broke everything.

    See post incident report:

    How Do We Prevent This From Happening Again?

    Software Resiliency and Testing

    • Improve Rapid Response Content testing by using testing types such as:

    • Local developer testing

    • Content update and rollback testing

    • Stress testing, fuzzing and fault injection

    • Stability testing

    • Content interface testing

    • Add additional validation checks to the Content Validator for Rapid Response Content.

    • A new check is in process to guard against this type of problematic content from being deployed in the future.

    • Enhance existing error handling in the Content Interpreter.

    Rapid Response Content Deployment

    • Implement a staggered deployment strategy for Rapid Response Content in which updates are gradually deployed to larger portions of the sensor base, starting with a canary deployment.

    • Improve monitoring for both sensor and system performance, collecting feedback during Rapid Response Content deployment to guide a phased rollout.

    • Provide customers with greater control over the delivery of Rapid Response Content updates by allowing granular selection of when and where these updates are deployed.

    • Provide content update details via release notes, which customers can subscribe to.

    Source: https://www.crowdstrike.com/falcon-content-update-remediation-and-guidance-hub/







  • That’s a good clarification, but I do not feel it changes much. A non-Isreal nationality now is still a thing they possess. No one chooses where they are born either way. Their ethnic identity is still there, but I do not think it gives them ground for land after they were dispersed originally. But regardless of that, they got Israel. It’s there now, and removing it also not an option.

    It’s rather ironic, Jews are now killing off another ethnicity from the very same lands they themselves were driven out of. Sounds like a revenge story, but it’s just a cruel inversion of the same antisemitism that Jews have suffered at least twice now with their initial dispersion and during the second World War.


  • There’s a few points of critique.

    Religion is not the same as nationality, there isn’t a country that is dedicated to Christianity for example. (well, you have the Vatican but you get what I mean, it’s not a nation) It’s a different thing, so you can’t argue that Jews have no home since they too have a nationality from the country they were born in, like everyone does regardless of religion. I’m not arguing against Isreal existing to be clear, just that having a country for a religion isn’t some given right that only Jews don’t have. They mgiht be the only ones to have it depending on how interpret it.

    There’s interpretations of zionism. At its core it’s the belief that the religion should also be a nation. But different sides form around the “how” part. While having a country to live in isn’t bad itself, if zionism means driving out others or straight up genocide of others, then it’s fair to bluntly oppose it.

    Isreal exists now, but the continued killing and takeover of Palestine is horrible. And these days many bind zionism to the acts and opinions that flourish in Isreal that portray Palestinians as some evil that should be removed. It think opposing an nationalistic view like Zionism is a reasonable action when the country is engaging in invasion.


  • If CO2 is a byproduct of another process, then I’d make a guess it is fairly cheap. The flaw here is that CO2 and H2 are both products of steam reforming using methane… Which is to say, the cheaper version might just come from using natural gas. Hydrogen has to be sourced from some energy consuming process, and that too is often from the methane steam reformation. So it’s certainly possible, but yet again is ready to become yet another “green” product made from fossil fuel. Doesn’t have to be, but I can be.

    Edit: to correct a discrepancy, the article mentioned hydrogen, but if the hydrgon comes from water used in the process then some of the issues of providing H2 is less big. But either way I expect this to be energy costly. Nevertheless, a lab made product is still something that doesn’t need large areas of land to produce.



  • I actually decided to use avif on my project. But both this and webp is as fast as I know, not supported in any default image viewer on windows. Which is rater annoying, but I moved on to better programs for tgat anyways.

    Avif is second to jxl though, some of the downsides of being a video format is that you loose progressive loading (only top to bottom iirc), degrades on re-encodes, and some other things I can’t think of. Avif gets a win because if you have a av1 decoder you already have a avif decoder too! But since it is a video frame essential there are some downsides since some image specific features can’t or won’t be added.


  • Quick google shows that Kanban is a method. Mainlu around picking up things as the come, but also limiting how much can happen at once.

    The project I’m has a team that uses Kanban for the “Maintenance” tasks/development, take what is at the top of the board and do it. Adapt if higher priority things comes around, such as prod bugs. Our developments teams are trying to implement Scrum, where interruptions are to be avoided if possible during sprints. You plan a sprint, try to do that work, and can present it, and iterate when users inevitably changes criteria.

    In the meme, kanban does somewhat make sense, since getting armrests is never going to get a high priority as part of building a rocket. Scrum isn’t exactly right, but I can see where it’s coming from. They are all agile methods though.


  • I kinda get where he is coming for though. AI is being crammed into everything, and especially in things where they are not currently suited to be.

    After learning about Machine learning, you kind realize that unlike “regular programs” that ML gives you “roughly what you want” answers. Approximations really. This is all fine and good for generating images for example, because minor details being off of what you wanted probably isn’t too bad. A chat bot itself isn’t wrong here, because there are many ways to say the same thing. The important thing is that there is a definite step after that where you evaluate the result. In simpler ML you can even figure out the specifics of the process, but for the most part we evaluate what the LLM said or if the image is accurate to our expectations. But we can’t control or constrain the output to exactly our needs, because our restrictions largely are just input in a almost finished approximation engine.

    The problem is, that companies take these approximation engines, put them in their product and consider their output fact. Like Ai chatbots doing customer support, and make up facts like the user that was told about rules that didn’t exist for an airline, or the search engines that parrot jokes or harmful advice. Sure you and I might realize that these things come from a machine that doesn’t actually think about it’s answers, but others don’t. And throwing a “*this might be wrong because its AI” on it is not an acceptable waiver of accountability.

    Despite this, I use chatgpt and gemini a lot to help me program, they get a lot of things wrong but also do great. It’s a great tool, exactly because I step in after the approximation step, review and decide. I’m aware of the limits. But putting these things in front of “users” without a review step means you are advertising that you are either unaware of this flaw, or just see the cost-benefit analysis and see that if noting else it’ll generate interest during the hype.

    There is a huge potential, but throwing AI into a situation where facts are needed when it’s only making rough guesses, is the wrong way about it.