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G AI is just a tool, like a pencil. The problem starts when people use it to gener… ytc_UgwCatZ2j… G By the end of the video they discuss about robots doing basic movments to ease f… ytc_UgwYAcsLr… G Electronic removal will be a large business once ai and robot labor starts becom… ytc_Ugy2U6bVp… G You can most likely tell when a post is AI, just look closely. I am tierd of the… ytc_Ugw9G-3BA… G They operate in driverless mode, they just have a compliance human present at th… ytc_UgwhD1mRd… G I would also point out that employees are not automatically always the biggest e… rdc_nbkqsdh G These are robots their name is "Humanoid robot" they are made to have human-lik… ytc_UgztR8w_2… G The first thing that pops up on chatGPT, Is that it may give you false informati… ytc_UgycFW1NU…
Comment
The important thing to understand is that AI doesn't (yet?) have good taste for code. As a result, it learns any code it finds on the internet as if it was written by Donald Knuth himself. Every security vulnerability in example code, programming course homework or distributed PoC code will be trained as an example of "industry standard code". I think that modern AIs are already good enough that if AI vendors simply spent a LOT of computing time to weed through all their training material to annotate potential issues in the training material and re-trained the AI from scratch using the annotated training material, the resulting AI would work better. It still wouldn't be perfect (because annotation would have been made by non-perfect AI without human supervision) but it would be much better than the AI we currently have. For example, if you give 200 lines of code to ChatGPT 5.4 Thinking model with a prompt "Can you find real or potential security issues in this code?", it can typically answer correctly after thinking about it for about 5 minutes. However, even AI companies are not rich enough to burn similar amount of thinking for every 200 line of code fragment they have in their training data!
youtube 2026-03-18T09:1…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyregulate
Emotionfear
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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