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Halo 4 had great graphics to run on a damn Xbox 360. But yeah, they lost in the design department, imo I felt too much felt like plastic/artificial instead.
Halo 4 had great graphics to run on a damn Xbox 360. But yeah, they lost in the design department, imo I felt too much felt like plastic/artificial instead.
It’s a link to an image on github not sure why it doesn’t work for you. Try just looking at the repo then:
(Windows only warning, unless someone wants to add Linux support)
I didn’t really search around for GUIs way back, but ended up making a basic GUI because I wanted to learn programming.
With just having options as checkboxes for YouTube-dl. It has served me well all these years. It was literally the thing I made while learning programming so the code is pretty janky when I look back at it though…
Buldak is a bit too spicy for me to enjoy. But Nongshim Shin Ramyun is much better tasting, and highly recommend for those that like spicy noodles that aren’t pure fire.
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.
It is not a defense of the manufacturers, but EVs are still damn expensive to make. And they are completely at fault for that too, because everyone except Tesla dragged their feet about making the EV transition.
I use phone every day at office so I don’t need to get the wallet out of my jacket when going to the canteen to buy lunch. It’s literally the reason I started using my phone to pay. Too many times I forgot my card…
New car smell, it’s awful. Sort of stale plastic if I were to describe it.
Amplified by long trips on bad roads as kid. Guaranteed to make you feel like vomiting on some sections. Now when I anticipate/pack for a trip I tend to smell that again even though I’m not even in a car.
It’s not that universal, but we have named a few things “Engines”, for example Balancing Engine. We also use services, but they are actually independent programs that performs jobs. Engine are used in other places, such as the ViewModels, or in the services.
We put them in the DomainModel project which most things reference though. That’s were most basic functionality and shared resources end up if they are used across Client/Service/Backend projects. So Domain / DomainModel might be a thing to use as well, if you want a specific namespace for that kind of use.
A lot of external drives are just internal devices with another controller and casing around. I had a 4TB I used with my laptop, and tore apart the casing and just plugged it into my desktop when I built one. Unless you start hammering the external case around, the drive will be fine.
The simplicity of Google Photos has me still rolling with that.
But for all my music, syncthing is the best. In my case it’s synced to my phone though, and also backuped up from that to the cloud.
I disabled my adblock for Twitter to see a update about game server maintenance. It showed me random posts, nothing from this year. Literally unusable site when you can’t even see the latest tweets. Had to have other people tell me maintenance was extended…
Python, C#, Rust
Used a bit of C++ and Matlab, but saying I know them is a stretch really.
There used to be boxed ice cream with blueberry and egg yolk flavor. Loved it as a kid, got discontinued by the ice cream truck that had it. No replacement found. I probably won’t even like it since I have forgotten the taste at this point.
It would kinda go along to “do not go gentle into the good night” like it was presented in Interstellar.
So you say, but it does make me flinch when it suddenly hits.
I made do with my IDE, even after getting a developer job. Outside shenanigans involving a committed password, and the occasional empty commit to trigger a build job on GitHub without requiring a new review to be approved, I still don’t use the commandline a lot.
But it’s true, if you managed to commit and push, you are OK. Even the IDE will make fixing most merges simple.
Compute becomes cheaper and larger undertakings happen. LLMs are huge, but there is new tech moving things along. The key part in LLMs, the transformer is getting new competition that may surpass it, both for LLMs and other machine learning uses.
Otherwise, cheaper GPUs for us gamers would be great.