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For several years now, I’ve classified AI-powered products into three main categories. However, a month ago, a new category emerged—one that ultimately led to the creation of this video. Additionally, there are two intermediate categories, one of which is the reason ASUS appears in this discussion. In this video, I’ll highlight some of ASUS AI’s key features using the ASUS ROG Strix B850-E Gaming Wi-Fi as an example—but more on that later.
Video about artificial intelligence and ASUS AI
Category “Junk”
The first category of artificial intelligence is what I call “junk.” These are products, services, or features that either disguise themselves as AI to ride the hype wave or genuinely use AI in completely pointless ways—either where it’s unnecessary or where a human would be far more effective.
Examples include the LG ThinQ washing machine with artificial intelligence—thanks, Skynet, for the clean shirt. Then there’s Bose, which offers AI-enhanced speakers. Not a voice assistant like Siri, just an AI-powered sound adjustment. The Zojirushi NP-NVC10/18 rice cooker was also marketed with AI features.
It cooks and reheats rice—with artificial intelligence. Thanks, Skynet, delicious.
Category “Toy”
Anything that doesn’t feel like an obvious gimmick and has at least some real potential. Or something you can at least have fun with. You’re not going to “play around” with AI in a washing machine, but you can easily spend half an hour generating six-fingered people or asking ChatGPT ridiculous questions.
In other words, there’s potential, but not much practical benefit. If you ask ChatGPT a question, there’s always a chance it will generate an incorrect answer due to an AI hallucination. Then you either believe it or start fact-checking. At that point, it would have been easier to just Google the question from the start without involving a chatbot at all.
Category “Tools”
The third category. Commercially viable or reliably useful tools.
- Noise reduction and resampling algorithms from Topaz
- Speed changes with NVIDIA tensor cores in DaVinci
- DLSS
- Generation of realistic photos and videos on detailed request
- Algorithmic void filling in Photoshop.
In other words, anything that provides a clear, justified, and tangible benefit. Specialized tools always require new or dedicated hardware, and they tend to be significantly slower than conventional ones. But replacing them either isn’t an option or would take a lifetime to accomplish.
I’ve lived by these categories for years. I’ve used DaVinci, Photoshop, DLSS, noise reducers, and so on. I’ve grown tired of the AI hype in coffee machines. And I completely ignored gadgets because I don’t have time for that right now—I need to focus on making videos, not playing around with toys.
Subcategory “Pest”
Where does ASUS fit into this? In one of the two intermediate categories. The first category is “malware,” which falls between a toy and junk. These are AI algorithms that work but cause harm instead of helping, as they operate with errors, yet are marketed as serious tools.
Subcategory “Insurance”
It sits right between a toy and a tool. This is where features like AI functions on motherboards such as the ASUS ROG Strix B850-E Gaming Wi-Fi belong. And I’m talking about ALL such features today. These are algorithms that clearly work and offer some benefit, but the extent of that benefit is either something I can’t assess or don’t find impressive enough to warrant a “wow.”
Conditionally speaking, AI-driven automatic overclocking is a cool feature. Why is it better than a universal preset? Because a universal preset doesn’t account for differences between processors. And I’m not even talking about Ryzen 5 vs Ryzen 9. I’m referring to the slight frequency variations between two 9900X chips. Linus tested this, and even in his video, he demonstrated that anomalies can occur.
If anomalies are present, a universal preset won’t work. But AI adaptation would be a good fit for this. This algorithm could also be used to adjust fan speeds— the hotter the processor gets, the faster the fans should spin.
BUT. Even in Linus’s video, in most cases, the difference between processors was minimal—on the level of statistical error. So, ASUS’s algorithms will likely operate within that same margin of error. And if all you need to do is press one button for the algorithm to work, then the overall benefit of ASUS’s AI is pretty much the same as Intel XMP or AMD Expo.
In other words, you press the button once, wait, and get a bonus. The size of the bonus is random, and in 99% of cases, it’s minimal. But since the time spent is also minimal, it’s better with it than without it.
Category “Revolution”
Now, we’ve gone through 5 out of 6 categories. A month ago, I came across something interesting. This is a video redraw done by Runaway. Every frame has been processed to achieve photorealism while maintaining the theme, style, and consistency of the original animation. It’s not the typical LSD-inspired, brainrot animation redraw you see on TikTok. This is a graphical enhancement to the level of Hollywood rendering studios like ILM (Industrial Light and Magic).
And even though the algorithm isn’t perfect, the resolution in the video isn’t great, and the FPS feels more like 12 rather than 24… Look at the image. And understand this:
Half-Life 2 can already be enhanced to the point where you might literally confuse the video with real-life street footage. Low-quality footage, yes, but still real street footage. This isn’t even photorealism. It’s flawless simulation. It’s The Matrix.
Difficulties
And you’ll be able to play this in two to three years. What separates you from this? The quality of the algorithm and hardware acceleration. Imagine a hardware module like DLSS, but instead of inserting intermediate frames between the real ones, it redraws the real frames with AI processing and delivers them almost instantly in real time. Just like DLSS version 3 does now.
Because DLSS is already generating new frames in real time. Yes, this increases input latency, and the game FEELS slower, but in a game like S.T.A.L.K.E.R. 2, for example, mods could be used to fix that.
So, hardware-wise, everything is essentially ready. I believe that by the time we get the RTX 6090, it could handle such a scene in FHD at 60 fps, especially if a hypothetical Runaway v10 works reliably with minimal bugs. And that’s only if we want to go the brute-force route. Because how many TOPS would an AI accelerator need to process 30 FHD images without delay? 500? 1000? Considering that modern Ryzen AI already has 50 TOPS.
And this is the revolution. This is our future, whether we want it or not. And this is, in fact, the main reason why I’ve finally become interested in artificial intelligence. And why I’ve finally made a video about it.
ASUS AI summary (and more)
As a summary, I want to say that… I’ve led you on a bit. And I apologize for that. Because I didn’t mention that ASUS has one of the coolest features I could ever imagine for a motherboard, like the ASUS ROG Strix B850-E Gaming Wi-Fi. This is actually the ONLY feature I wanted to see. It’s the ASUS AI Advisor. It’s like Siri, but for… motherboard settings. Including explanations for BIOS features.
I’ll explain how it works next time, but briefly… The AI has been fed ALL the service files and data that ASUS has. So, it’s essentially your personal support service, ready to answer both silly and more serious questions. And, as I understand it, it doesn’t even need the internet to function.
And that’s all from me. Now, I’d like to hear your thoughts in the comments: where do you think ASUS AI Advisor fits among the six categories? The first category is “junk,” and the sixth is the absolutely unexpected “revolution.” I haven’t tested this feature yet, so I’m not sure where to place it. However, testing will begin right after this article. But still, feel free to comment and don’t hold back!
Read also:
- Use It or Lose It: How AI is Changing Human Thinking
- Space Travel at the Speed of Light: When Will It Become a Reality?
- 6 Fascinating Facts About Gravitational Waves and LIGO
