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I’m not sure how you calculate the numbers. But is it not a significant risk for AI and VCs, when AI is used to write the code. I may be a traditionalist but how do you manage a product in production if you don’t know enough about the code. How do you ensure that the output from an AI model is not hallucinating, how to you ensure the security of the solution to prevent malicious attack and poisoning.’A quarter of the W25 startup batch have 95% of their codebases generated by AI, YC managing partner Jared Friedman’If 25% of start ups have 95% of their code generated by AI, how do you define the value that the company that has created the product. How do you innovate beyond the initial MVP with speed and certainty. How do you verify the output from the LLM. How do you know your code is sound. Who owns the IP? What happens if you create products for mission critical solutions, or those used by professionals where the output from AI could very well be tested in court.What risks are being picked up beyond seed into series A, B and beyond.@Thaddeus Dziekanowski Brian D. McCarthy Faisal Khan Rachel V. Rose, JD, MBAVeritas GRC#cybersecurity #cyberriskmanagement #artificialintelligence
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