If you think there aren't hackers on console, you're deluded.

> Your server side logic can't detect wall hacks, ESPs etc.

Correct, neither do the invasive tools. You can get these things without modifying memory or the game, which is the majority of what the kernel level stuff keeps on eye on.

> especially as ML networks are getting better and better at reproducing normal player behaviour.

True, there is no answer here. Again, if the provider is this sophisticated, then EAC isn't helping here. Then it is just the usual cat and mouse, and the kernel level is moot.

> But applications should be able to attest the environment is not modified, which is what desktop Linux lacks. Windows, macOS and Android do have methods to do this.

Also true, but they are frequently circumvented anyway, so ultimately you're at the same level of Linux from a functional standpoint.

I know you're probably thinking that we should just hit all vectors, and I agree to an extent. The problem is that those who charge for cheats easily circumvent (yes, easily, they are literally within 24hrs sometimes of adjusting to modifications by anti-cheat software) the methods you're claiming help. While the data you get from users on the server end doesn't paint a whole picture, it is the source of truth of what the game decided happened, so it becomes the only thing you can rely on. I know folks who specialize in this area who basically believe that online competitive shooters are basically lost and it isn't worth the investment to fight it.

I am of the opinion we should just go back to dedicated servers and have self moderation. Sure, you get false positives if the owner or their mods suck at the game, but at least the players can do something about it. CS2 is a fucking nightmare at the moment.

I am of the belief that if you cannot completely control the environment, like a user's physical hardware, you're fighting a losing battle. Forcing them to install spyware is, in my opinion, just marketing for your competitive shooter and too invasive for the perceived gain.

Perhaps it is the wording. For my org, I think people are getting value out of AI use supplementally, but what I would see as "AI projects" are definitely dead in the water.

I've been of the belief that 2026 has been year of the Linux desktop. As a user of MacOS for work and Linux at home, and being a former user of Windows for decades for video games, Linux has come so far that I think it has surpassed the mainstream OSes in terms of experience. The barrier to entry isn't really troubleshooting anymore, it is that we don't have any dominant desktop environment. Which is "bad" for adoption, but has been great for iteration by teams who are not bogged down by the need to support legacy users who don't want things to change.

I have linked this elsewhere in this thread, but the studies on this matter suggest a worse outcome than just losing hand crafted or "artisanal" software: https://arxiv.org/pdf/2604.04721

> These findings are particularly concerning because persistence is foundational to skill acquisition and is one of the strongest predictors of long-term learning.

> We posit that persistence is reduced because AI conditions people to expect immediate answers, thereby denying them the experience of working through challenges on their own.

This issue is not that we are losing the ability to write good software by hand. It is possible we are losing our internal tools to learn new things by circumventing a necessary part of the process required by our biology.

https://arxiv.org/pdf/2604.04721

For what it is worth, my colleagues who use these tools more liberally see a much higher regression rate and are left refactoring more as well. While they definitely put out more PRs, I can confidently say that mine are more valuable and better stand the test of time. Whether that matters or not is up to debate as I guess you could argue there may be some point where the productivity overcomes their regression rate.

My position is, if the technology will be so good and progressing so fast to the point that I don't have to write code anymore and I'm just dictating our needs and what I want architecturally, then I don't really feel the need to put in the time to learn the tools as they are now. That seems way easier to learn than anything computer science related that I had to learn to build robust systems.

When I was younger, still trying to figure out who I was and what I'd be doing for a career, I was very interested in science. Sadly, my home life as it was prevented me from pursuing it as a student and survival as an adult meant catching up was an uphill battle. I just didn't have the discipline. So instead I just read books, mostly cosmology related, but also computer science. That was my way of making up for lost time to become the software developer and eventually engineer that I am today. But something was sorely missing.

I believed science would solve everything, that we could use technology to lift humans out of regressive traditionalism, force out ignorant politicians, but more obviously, build things that would solve climate change, hunger, disease, whatever. Growing up and realizing this was not the case has left me cynical. Social media is a blight that poisons everything and truly has not been studied enough on how it has raped society from increased vanity, parasocial relationships, addiction, the ability to be targeted by bad actors, I could go on. This technology in particular is probably at fault for the rise of fascism and far right politics. American tax payer funded and researched space innovation has been plundered and now controlled by a fucking weirdo psychopath trillionaire with a taste for culture wars. It is just absurd. Now, AI, and that is a whole topic of its own.

Good science still happens, of course, but now it's being buried by noise from the newest tech hype, AI. What chaps my ass about AI is that it has amazing uses but because of capital at all costs, we advance it in the most blind and irresponsible ways possible at the expense of our humanity and planet. So much so, now it is blasting out "art" for the cost of fucking up people's lives wherever there is a datacenter.

My main point is, that with all these topics, I've found that people are generally "philosophically empty". It is easy to say people are dumb, but I don't think that is the case (or, well, it is but that is too simple). That younger self scoffed at philosophy, seeing it as a fun thought experiment and little more, science was king. Now? Oh man. I feel so foolish. I think we all should have been challenged to think more philosophically at a much younger age. We have a generation of young people who dream of being influencers. Have you ever seen a more talentless, uninspired, cynical group of people worse than influencers? I sure haven't. But it is my more philosophical side that sees so clearly how vapid it is, and how it cheapens what we are as human in the name of attention seeking capitalism, to sell yourself at all costs and one more medium to be a walking advertisment. It feels like we're at the end game. I'm sure most generations have felt this way, and some had good reason (looking at you generation of the atomic bomb). But somehow, this feels less tangible, more philosophically bad, and already endemic. We're all so ill equipped to address it or even acknowledge it societally.

Sorry for the rant, thanks for reading if you got this far.

If I still lived in the US, I'd be hesitant to buy an EV because the infrastructure state to state to support charging wasn't great when I was last there. In Europe, you can road trip with your EV no problem.

Let's not entirely blame consumers for not being incentivised enough. Let's face it the US has been actively against EVs. You mention subsidies, haven't those even seen regressions in EV and solar panel subsidies? It's ridiculous.

The last 20% of the software development cycle is always the hardest. Releasing, maintenance, usability, support. You know, having a real product. I don't see AI helping here at all, more the first 80%, which sadly is also the fun part.

When developing things that are novel, with designs specific to our use cases needing high throughput, the results are pretty dismal. AI can kind of get you there, but I've seen no advancement on this front with new models. At the end of each attempt we've always realized we should have done things by hand. Having people with intense knowledge of the system frequently comes from building it and troubleshooting it, I don't think serious engineering orgs have escaped this inevitability.

On cases where we have legacy software, AI has helped with understanding shit code and design, but woefully bad at contributing to legacy software. Here be dragons for sure. It is super strange to me that these tools can seemingly easily diagnose but completely blunder the fix.

I could easily see there being gains, as you say, in fields where data wrangling becomes tedious (though the inherent error rate in AI outputs scares me if you're trying to get deterministic outputs from experiments... I digress).

The part I think this forum tends to forget, and the tech industry at large fails to even care about, is that we're still humans. There are many studies basically pointing out that the way the AI outputs information is bad for us. Instant gratification from anthropomorphised machines with a habit for sycophancy doesn't sound like a recipe for a healthy relationship with what everyone wants to claim is just a tool. AI providers know this is effective, as well as knowing that there is a gambling effect here. They care about making money, not a good product and they happily prey on our human weaknesses. That is what social media is now. They aren't good products anymore, they just promote addiction via engagement.

Sorry for the long response and cynicism, but that is just my anecdotal experience and perspectives. I can give sources to some of the objective claims if you want.

It's a shame, they were smart and productive engineers. Now? I guess everyone is just all-in on the slot machine.