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Cake day: February 13th, 2024

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  • How do you play the missions? Generally I usually have almost enough for the next warbond after I maxed out the last one. I did hear that this struggle usually happens when people don’t look for POIs, which also results in resources always being rather slow to accumulate.

    Overall, the game encourages to not beeline for primary objectives and rather plan out a route, especially for side objectives, as they can often be further away. It does help a lot that crashed resource drops (or what they are called) have a beacon that flashes higher the further away you are from them.


  • Blemgo@lemmy.worldtoMemes@lemmy.mlSteam Reviews
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    2 months ago

    I think it can be both. However they are no justification as to why one should buy and like a game they clearly won’t like for various reasons. Even more, trying to “fix” a game can alter the game’s impact on the player. There’s a reason why roguelikes/roguelites are so hard, and taking away the difficulty will lessen the experience. That’s why most people also, for example, won’t use cheating tools for their single player games apart from screwing around.


  • Honestly, I think that this was a horrid read. It felt so unfocused, shallow and at times contradictory.

    For example, at the top it talked about how software implementation has the highest adoption rate while code review/acceptance has the lowest, yet it never really talks about why that is apart from some shallow arguments (which I will come back later), or how to integrate AI more there.

    And it never reached any depth, as any topic only gets grazed shortly before moving to the next, to the point where the pitfalls of overuse of AI (tech debt, security issues, etc.) are mentioned, twice, with no apparent acknowledgement of its former mention, and never mentioned how these issues get created nor show any examples.

    And what I think is the funniest contradiction is that from the start, including the title, the article pushes for speed, yet near the end of the article, it discourages this thinking, saying that pushing dev teams for faster development will lead to corner cutting, and that for a better AI adoption one shouldn’t focus on development speed. Make up your damn mind before writing the article!


  • Ich Stimme zu, dass das “einfachste” Indiz bei den Beispielen die Stimme ist. Hier kommt es oft zu Stimmverzerrungen, die stark nach Dekodierfehler klingen, aber nur die Stimme betreffen.

    Was auch auffällt sind Hintergrundcharakter. Ein gutes Beispiel ist die falsche Autoexpo. Wenn man die Szenen mit dem Mann mit dem Kinderwagen genauer ansieht, sind die Posen vom Mann und Kinderwagen immer sehr ähnlich. Des weiteren verhält sich der Mann sehr ungewöhnlich. Menschen verhalten sich sehr eigenartig wenn sie wissen, dass sie gefilmt werden, und man merkt dass sie oftmals achtsam die Kamera ignorieren während sie dennoch Aufmerksamkeit der Kamera geben. Teilweise schnelle Bewegungen durch die Anspannung, was die KI immer noch schlecht imitieren kann.

    Generell ist die beste Strategie skeptisch zu Medien zu sein und die Inhalte zu hinterfragen.



  • Is there a benefit from this over the inbuilt Secure Erase functionality in most SSDs/NVMEs? To my knowledge, it instantly dumps the current from all cells, emptying the data on it.

    Furthermore, another issue with SSDs/NVMEs is that it automatically excludes bad blocks, meaning that classic read/write operations can’t even reach those blocks anyways. Theoretically that feature could also be used against you to preserve the data on the disk by marking all blocks as bad, rendering them as inaccessible by the file system.

    Of course there’s also the issue of Secure Erase not being implemented properly in some drives, leading to the bad blocks not being touched by the hardware chip during that procedure.










  • Scanners like to do funny things

    I know it’s not very relevant, but that reminds me of a talk held during a CCC (Chaos Computer Club) convention.

    It’s in German, but I’ll try to summarize it: Someone noticed the numbers on a scanned page didn’t match the original, so they hired an expert to find out what happened. Turns out that the printer they were using had a feature that would detect symbols that looked the same and basically copypasted ome cutout of the symbol onto the other to save space on the final PDF. Due to the print/copy quality, this substitution sometimes malfunctioned, substituting similar looking symbols, such as 8 and 0.