Mordikan

“It starts with people hold their governments and representatives accountable”.

That is basically a non-answer and doesn’t mean anything. The reality is AI is classified a national security priority and therefore has the US govt to prevent it from running out of money.

You could argue that the US has already lost the AI race to China, though. The race isn’t won by building the gigantic LLMs. It isn’t about 1 million token context windows or 1 trillion parameter models. It’s about sentiment. Deepseek and the other distilled models take a novel approach with MoE and strict use case training, but ultimately its the willingness of people/companies to use the AI that results in the win.

US adoption is still the highest world-wide, but China is starting to take the lead on that and have they have stronger willingness to use it.

There is so much AI hype and so much anti-AI hype, that I doubt it really will.

For the last 4 years, we have perpetually been 90 days from both the AI market crashing and AI stealing all our jobs at the same time.

My thought is the AI market won’t crash because especially in data engineering and devops there is an inherent worth. I think there will be a potential downturn in the volume of cash flowing into perhaps after the big players like OpenAI and Anthropic go to IPO, but the market itself will remain stable. Similar to how the housing bubble crash didn’t actually wipe out the housing market (with or without the US govt saving the big players - it still would have survived on its own even if those players did not).

Because now you can build it into a franchise. Intergalactic: <INSERT_TITLE>

“Hello, my fellow leftist. I see you are a human. I too am a human. I enjoy having the skin, too. Haha. We are alike.”

25 years ago when I was a teenager I had a terrible problem with CD cases getting broken and thrown away. I would have those CD stack cases filled with loose random CDs and no keys. I believe it is still around but GameCopyWorld (just google it) is how I was forced to install.

Honestly, I should have just taped paper on the CD top with the keys, but I was a kid and didn’t think very far down the line.

One thing to remember with VirusTotal is that it should only be used as a “tool of consensus”. A lot of AV solutions on their list will false flag binaries presumably to instill fear and get people to buy their solutions over more reputable AV providers. You want the AV that works the best which many people would equate to the most flagging (as logically incomplete as that may be).

If you are seeing 66 flags and many of those being from reputable vendors, then I would say that what they show is likely accurate. Accuracy and relevance being two different things. 100% accuracy on keygen tools doesn’t mean that it is a relevant flag to what you’re trying to do.

You could try software solutions like LOKI (the IoC scanner) or Azul to test specific binaries, though. I believe LOKI is just doing static analysis, but Azul I know automates the sandboxing.

Denuvo’s CEO (I think it was) tried to explain that it couldn’t impact performance, but that’s basically impossible. They are pushing parts of the game through a VM and doing encryption/decryption on the fly. That’s going to generate significant overhead. Whether it were to get pushed to GPU over CPU, blah blah, their DRM is still adding additional hoops for the machine to jump through.

Saw it was already commented about CO2, so I thought I’d counter-point your environment claim regarding water usage (since that is something I’ve seen a lot of too).

The ISSA had a call to action due to the AI water use “crisis”: https://www.issa.com/industry-news/ai-data-center-water-consumption-is-creating-an-unprecedented-crisis-in-the-united-states/

68 billion gallons of water by 2028! That’s a lot…right? Well, what I found is that this is somewhat of a bad faith argument. 68 billion gallons annually is a lot for one town, but those are numbers from a national level and it isn’t compared to usage from anything else. So, lets look at US agriculture (that’s something that’s tracked very well by the USDA): https://www.nass.usda.gov/Publications/Highlights/2024/Census22_HL_Irrigation_4.pdf

That’s 26.4 trillion gallons of water annually. So, AI datacenter represents 0.26% of agriculture consumption. If AI datacenter consumption is a crisis, why is agriculture consumption not a crisis? You could argue that agriculture produces “something useful”, but usefulness doesn’t factor into the scarcity of a resource. So, either its not a crisis, or you are cherry picking something that has no meaningful outcome to solving the problem.