Episode 194: Killer Robot Police, New Words for New Data Volume, AI Images–Good or bad?

Topic 1: Should the Police have killer robots?

San Francisco approves the use of robots capable of lethal force.

Is this move inevitable, or are the arguments in favor of this just rare exceptions to the rule?

https://www.kron4.com/news/bay-area/sf-police-killer-robots-would-have-explosives-not-guns-sfpd/ 

Topic 2: Data Volumes are Increasing at Such a Fast Pace, We Need New Words to Describe Just How Much There Is

https://english.elpais.com/science-tech/2022-11-30/new-prefixes-for-huge-and-tiny-numbers-ronna-ronto-quetta-and-quecto.html

And to absolutely no one’s surprise, businesses are struggling to afford the cost of managing all that data

https://www.techradar.com/news/rising-data-management-costs-are-hitting-businesses-hard

Data is the essential component of literally every dimension of the technology industry, and we’re producing more of it every day at literally astronomical rates. So much so that we have run out of words to describe just how much there is. Science is solving that part for us. But science can’t help us figure out how to pay to store / manage all of that data. Observation #1: I sure hope you are selling data storage / management solutions. Observation #2: What are the ripple implications for IT management and the services MSPs provide?

Topic 3: Chatbots and Generative AI Image Systems are Getting Pretty Good … But is that a Good Thing?

https://mashable.com/article/chatgpt-amazing-wrong

  https://www.axios.com/2022/09/12/ai-images-ethics-dall-e-2-stable-diffusion

AI systems for creating content are steadily improving in terms of technical / functional capability. But the layers of ethical questions continue to stack up. How do you know if the AI chatbot is telling the truth? Is AI art actually art? If the AI is trained on the work of other artists, who should get credit?

 

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