Realme 7

I have switched to JUCE as a total cross-platform GUI/high-performance general application development environment, having used it for 7 years in the audio realm I have attained that state, whatever it is, where I realize I can just use it for everything and it’ll be perfectly fine. Doesn’t take too much CMake wrangling either, and once you’ve got at least one half-decent, clonable JUCE - CI pipeline working, the horizon gets wider and wider .. That said, I have to admit that I think more and more about how fun it’d be to just put all JUCE GUI code in a Lazarus’ish front-end, using LUA for that part, and having a decent half Lua/half C++ monstrosity for doing things ..

[...] Software consists of various layers, and everyone has their own specific areas of strength. [...] Put differently, I possess the ability to mass-produce software (regardless of absolute quality). [...] The primary area where I actually made money was PLC, so while I may not have deep academic expertise, I certainly do not think I lack capability. [...] There was even someone who made an amount of money I could never dream of touching in my lifetime. Why did he make so much money when he didn'

[...] I'd say that the fact that miri's trophy-shelf[0] has 39 entries and is 7 years old and still regularly updated is a pretty good indicator that memory bugs are sufficiently rare in rust so as to be notable. [...]

therefore most likely overpriced at 6€/month something where security is high and support is 24/7 available You are not going to get great 24/7 support inside anything like €6/month (though many may promise it!), so that service may not be as overpriced as you think. [...] Essentially by self-hosting a service like this, you are taking back the admin of managing all that so you have to ask yourself if it is worth saving a few € per month, and consider what you might lose if something goes wrong and all your mail starts bouncing. [...] In most cases you will experience performance degradation (at random times, or just almost always) and other issues due to noisy neighbours on oversold infrastructure. [...] The best (but unfortunately time-consuming) way to get comfortable with this is probably to register a sacrificial domain and set it all up for that domain on hosts not associated with your domains that normally send mail. [...]

[...] The reported size of the ModelOpt FP8, 16 GB, sounds wrong to me. [...]

[...] Clean repo, good README, useful-sounding tool name. Passes every static check. [...] Does MCPShield do any post-install monitoring or is it purely a before you pull the trigger tool?

[...] It's also played at an insanely high level, which makes it a worthwhile challenge and time investment. [...]

[...] I felt that it was the best of all worlds, huge support for hardware, basically rock solid on good hardware, gaming performance was fantastic. [...]

[...] In practical sense, no consumer software worries about bit flips in RAM (whereas bit flips in storage are much more likely, hence checksumming DB rows, etc). [...]

This looks cool, but standalone usage doesn't seem to be documented anywhere. The README for the above package says "For full exposed APIs, see src/index.ts." So while Vue is not gatekeeping their reactive primitive library, they aren't exactly advertising it like Preact in a way that the average library author (like Mador's author) might even be aware of it. Also as someone who has built React applications for more than 7+ years, I'm also still not sure what React's reactive primitive package is. Googling or asking ChatGPT has turned up nothing.

I am also quite interested in psychology, but at least in my realm it would take something like 5–7 years of studies etc to become a licensed psychologist, if you want to work directly with humans. That is quite the investment and I am not sure that I have a long enough personal runway for that.

Fortunately, a fellow commenter was so kind and did it with Astra. Didn't do that well either [0]. I'm sure GPT-7 will be super mega ASI regardless (since GPT-6 Astra already claimed AGI in the minds of Jen-Hsun, et al.)... I'll say it till there is any evidence of the contrary, LLMs are not intelligent and their capabilities solely within the realms of well tailored training data. "Just" having been trained on every rule, strategy guide and likely most games of chess on the world wide web isn't even enough for an LLM to play that game reliably. Yet the same model could code a competitive chess engine, just like a model struggling to count can write advanced maths papers. Fascinating tools, but tools nonetheless. [0]

i was gonna post this 15 hours ago but was sure someone would warning, this ranking will put the horny muds up top: --- my MUD history goes: in '98 i got into realms of despair, played for years. another mud phase is awarded to trenton for his dbzfe/ff1 muds, both having tilesets if you preferred the pueblo mud client. dbzfe was unique in its real time combat, dodging left a right punch, or parrying it high, or ducking. all timing-based, high adrenaline moments for me but, the past 7 years or so, i just log into discworld. i made a very ugly site for it, not mobile friendly. not even eyeball friendly seems i like throwing up pages for things. i briefly played a finnish mud:

I have been using OpenRouter for a while now, and my Uni is self hosting Kimi K2.7 and Qwen 3.5, so I do know my way around chat completion. [...]

This means the driver doesn't "search" for empty space. It calculates where data goes using math. From my understanding, we're still searching for empty space? We just have an easily computable sequence of spots to check. E.g., if our stride is 7 blocks, then instead of going linearly with a stateful search, we can easily compute where we check. It's hard to pull this apart from the README. The README looks a bit LLM generated (clued in by OP's comment as well), which contributes to the difficulty versus a more thoughtful writeup. Interesting idea, it's just hard to tell exactly what's going on.