Raw LLM Responses

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G most of the cameras on the road are used to catch traffic violation, but the way… ytc_Ugx8xdP07… G The A.I's answer to the very important question was "A member of the true religi… ytc_UgwIYP2-k… G This is why robotaxi is designed with no steering wheel or pedals that introduce… ytc_UgwJLaUt8… G What happens to AI when a Solar Flare takes out the electrical power? And, the w… ytc_Ugy_1aPnZ… G Without proof although I wish I had it. I can tell you if they have access to yo… ytc_UgwXaSZUi… G That is the future going forward. Humanity is mere spectators before AI jaggerna… ytr_UgynqLe2S… G You are all not seeing whats REALLY coming. Its not terminator and its not ai ta… ytc_UgzWUz3Wj… G The primary reason this technology is created is for social control, plain and s… ytc_UgzRT7g2R…
Comment
The option for radar vs optical registration vs LiDAR, is that you match camera vision and human vision, ie tracking what the driver is watching and if they are focusing on objects the vision system has recognised. The problem of CV is that a computer can’t assign objects easily if the training is incomplete. It can infer the presence of traits in an area, but if you are also driving over the same area on the same day, you can also learn from drivers who are manually driving as to what the prediction and the human is doing to create inferences and test them with simulated or “supervised” events. This can cover any phantom braking or passenger awareness that the driver hasn’t seen. The biggest downside isn’t the cost, it’s the liability of using legal entities ie humans, who have intellectual faculty and responsibility for their actions. If you hire 10,000 monkeys to drive and the AI crashes, having been trained by the Monkey Army, who is legally culpable. The Monkeys or the AI trained by Monkeys. Or the Car. Or the engineers who powered up the car, etc.
youtube AI Harm Incident 2022-09-08T04:1…
Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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