The open source debate in #ML ( #AI ) is absolutely irrelevant unless all the training data are also made open. Tech reporters are getting lost again because #ML vendors are misleading them. #LLM#MLsec
"As OpenAI trains its new model, its new Safety and Security committee will work to hone policies and processes for safeguarding the technology, the company said. The committee includes Mr. Altman, as well as OpenAI board members Bret Taylor, Adam D’Angelo and Nicole Seligman. The company said that the new policies could be in place in the late summer or fall."
When I worked as a professional sys-admin, I sincerely didn't understand why sys-admins were paid so well.
I remember thinking that anyone could do what I'm doing, and I was surprised at how I knew programmers making less than I did.
Today, having hired devops and re-training myself to do the work, I realize why sys-admins/devops are paid well.
Firstly, it's a niche industry. While there are many programmers available, there are fewer people who understand the principles of high quality system administration.
Secondly, most people who are trained in this are already working or in high demand. Demand drives pay.
Thirdly, it's a changing field that moves- in some ways- faster than software.
It's easy to find someone who think they know devops because they run their own Linux laptop, but someone who really knows both the tools and the methodology of system administration is actually quite rare.
When you choose to use an #ML#LLM foundation model, you accept the risk management decisions made by the vendor without your input. Wonder what they are? Read this #MLsec paper from #IEEE computer.
