colorbot vs ai aimbot

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Originally Posted by .MOON. No, you’re just changing the definition after being corrected. AI aimbot does not mean “universal human level decision maker that works in every game.” It means the detection side is using a trained vision model, usually object detection, pose estimation, or instance segmentation. More advanced would include AI mouse models trained from a users actual physical mouse input. YOLO/ONNX/TensorRT/OpenVINO pipelines are not color filters. They are actual model inference pipelines. A colorbot looks for pixel colors. An AI model detects TRAINED targets from image data. That difference is extremely basic. Your first post said there are no real AI aimbots and that the ones on the market are all color based. That is false. Now you’re trying to say “well, my personal definition of AI is different.” I would suggest not moving the goalpost after being corrected. You can say some products are hybrids. You can say some products market themselves badly. That’s fair, but saying real AI aimbots do not exist is just wrong.

This is gonna be my last reply to you, since I don't like to engage in conversations with people who can't keep a respectful tone. Don't bother to reply me any further.

I don't think you corrected anything; AI aimbot DOES mean the ability of making "human level decision" (consider reading this: [Only registered and activated users can see links. Click Here To Register...] and even if you "trained" your aimbot with pictures (and "train" isn't even the verb you should be using here), the only thing you would have corrected me is: instead of being color based, it would be PICTURE based, but still not an AI aimbot. Since I doubt you will check the IBM website, I'll paste part of AI definition here:

"Applications and devices equipped with AI can see and identify objects. They can understand and respond to human language. They can learn from new information and experience. They can make detailed recommendations to users and experts. They can act independently, replacing the need for human intelligence or intervention (a classic example being a self-driving car)."

Keep in mind that's not "my" definition of AI. So when the aimbot targets predetermined images / pixels, it's not an AI working or acting "independently, replacing the need for human intelligence or intervention", it's just the way most aimbots have always worked (exceptions do apply, such as internal hacks).

But hey! Feel free to "correct" me anytime you want. Also, despite this interaction being far from pleasant, I'll keep recommending your hack to people who ask me.

There are aimbots that have player detection by the means of color.
And there are aimbots that have player detection by the means of ai.
And there are aimbots that offer both (like mine does).
Some aimbots with ai player detection are GPU based, some are CPU based, some offer both options (like mine).

There is no full ai aimbot yet. Altho the jump isn't big to get it done to add ai level decision making to any aimbot even a colorbot.

Once there's an aimbot that has both ai player detection, and ai decision making, then you got a full ai aimbot.

And it's actually super easy to get this done, but at the expense of performance draw depending on pc specs as this needs to be real-time of course there can't be any delays.

Would it be worth it? I doubt it would add anything super beneficial compared to the performance draw.

So these days when you talk about AI aimbots, it means that the aimbot uses AI to detect players. Simple.

Both color player detection and ai player detection have their own pros and cons.

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Originally Posted by Skyrant Official There are aimbots that have player detection by the means of color. And there are aimbots that have player detection by the means of ai. And there are aimbots that offer both (like mine does). Some aimbots with ai player detection are GPU based, some are CPU based, some offer both options (like mine). There is no full ai aimbot yet. Altho the jump isn't big to get it done to add ai level decision making to any aimbot even a colorbot. Once there's an aimbot that has both ai player detection, and ai decision making, then you got a full ai aimbot. And it's actually super easy to get this done, but at the expense of performance draw depending on pc specs as this needs to be real-time of course there can't be any delays. Would it be worth it? I doubt it would add anything super beneficial compared to the performance draw. So these days when you talk about AI aimbots, it means that the aimbot uses AI to detect players. Simple. Both color player detection and ai player detection have their own pros and cons.

That's exactly what I was trying to say, but maybe I couldn't make myself clear. Thanks for shining a light over this topic.

Me when i don't understand the difference between AI and LLM

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Originally Posted by .KaiZy Me when i don't understand the difference between AI and LLM

Actually all LLM are a form of AI. Generative AI to be more precise.

AI is just a very broad grouping term.

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Originally Posted by petros2x This is gonna be my last reply to you, since I don't like to engage in conversations with people who can't keep a respectful tone. Don't bother to reply me any further. I don't think you corrected anything; AI aimbot DOES mean the ability of making "human level decision" (consider reading this: [Only registered and activated users can see links. Click Here To Register...] and even if you "trained" your aimbot with pictures (and "train" isn't even the verb you should be using here), the only thing you would have corrected me is: instead of being color based, it would be PICTURE based, but still not an AI aimbot. Since I doubt you will check the IBM website, I'll paste part of AI definition here: "Applications and devices equipped with AI can see and identify objects. They can understand and respond to human language. They can learn from new information and experience. They can make detailed recommendations to users and experts. They can act independently, replacing the need for human intelligence or intervention (a classic example being a self-driving car)." Keep in mind that's not "my" definition of AI. So when the aimbot targets predetermined images / pixels, it's not an AI working or acting "independently, replacing the need for human intelligence or intervention", it's just the way most aimbots have always worked (exceptions do apply, such as internal hacks). But hey! Feel free to "correct" me anytime you want. Also, despite this interaction being far from pleasant, I'll keep recommending your hack to people who ask me.

You quoted IBM saying AI can “see and identify objects” and then argued object detection is not AI. That’s literally the exact part of AI we are talking about.

YOLO is a trained neural network/object detection model. Models are trained on annotated datasets. “Train” is absolutely the correct word. ONNX, TensorRT, OpenVINO, DirectML, etc. are runtimes/backends used to run those models.

Calling it “picture based” is not a real technical category. That’s just you trying to avoid saying computer vision.

You’re mixing up general AI with narrow/applied AI. Nobody said an AI aimbot is a self-driving car or some universal human-level decision maker. Most AI used in the real world is narrow AI: object detection, image classification, speech recognition, OCR, recommendations, etc.

A colorbot finds pixels based on RGB/HSV rules. An AI model detects trained classes/features from image data. Those are not the same thing.

I appreciate you saying you still recommend us, genuinely, but the technical claim is still wrong. “AI aimbot” does not require human-level reasoning. It means AI/ML is being used in the detection/targeting pipeline.

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Originally Posted by Skyrant Official There are aimbots that have player detection by the means of color. And there are aimbots that have player detection by the means of ai. And there are aimbots that offer both (like mine does). Some aimbots with ai player detection are GPU based, some are CPU based, some offer both options (like mine). There is no full ai aimbot yet. Altho the jump isn't big to get it done to add ai level decision making to any aimbot even a colorbot. Once there's an aimbot that has both ai player detection, and ai decision making, then you got a full ai aimbot. And it's actually super easy to get this done, but at the expense of performance draw depending on pc specs as this needs to be real-time of course there can't be any delays. Would it be worth it? I doubt it would add anything super beneficial compared to the performance draw. So these days when you talk about AI aimbots, it means that the aimbot uses AI to detect players. Simple. Both color player detection and ai player detection have their own pros and cons.

nvidia NitroGen does this.

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Originally Posted by .MOON. You quoted IBM saying AI can “see and identify objects” and then argued object detection is not AI. That’s literally the exact part of AI we are talking about. YOLO is a trained neural network/object detection model. Models are trained on annotated datasets. “Train” is absolutely the correct word. ONNX, TensorRT, OpenVINO, DirectML, etc. are runtimes/backends used to run those models. Calling it “picture based” is not a real technical category. That’s just you trying to avoid saying computer vision. You’re mixing up general AI with narrow/applied AI. Nobody said an AI aimbot is a self-driving car or some universal human-level decision maker. Most AI used in the real world is narrow AI: object detection, image classification, speech recognition, OCR, recommendations, etc. A colorbot finds pixels based on RGB/HSV rules. An AI model detects trained classes/features from image data. Those are not the same thing. I appreciate you saying you still recommend us, genuinely, but the technical claim is still wrong. “AI aimbot” does not require human-level reasoning. It means AI/ML is being used in the detection/targeting pipeline. nvidia NitroGen does this.

Sure, except you don't need nvidia nitrogen tho. Bit overkill actually for a simple use case like what we're discussing here, especially knowing the performance draw.

That being said there will be too much performance draw for too little gain regardless no matter what you do. It's pointless to implement this for any aimbot, but easy to get done tho, but again, pointless.

So yeah i suppose if someone is going to implement this pointless ai support, nitrogen could be an option. Overkill but an option nonetheless.

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Originally Posted by Skyrant Official Sure, except you don't need nvidia nitrogen tho. Bit overkill actually for a simple use case like what we're discussing here, especially knowing the performance draw. That being said there will be too much performance draw for too little gain regardless no matter what you do. It's pointless to implement this for any aimbot, but easy to get done tho, but again, pointless. So yeah i suppose if someone is going to implement this pointless ai support, nitrogen could be an option. Overkill but an option nonetheless.

Well yeah i just pointed out that there are things already that can do it. I agree it is literally pointless XD.