Coding, Data Science, A.I. catch-All | Grok update goes MechaHitler

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I wonder how much this is actually representative of real human behavior or if it's representative of the human behavior observed with our current social media?

I would hope that, with such a pessimistic outcome, it's the latter, but I'm not convinced that it is.
It’s also possible that it’s neither, but some AI perversion of one or the other.
 

AI Is the Future, but It Knows Little of the Past​

The technology is limited to those pages it can see, and most original records aren’t yet digitized.​


🎁 —> https://www.wsj.com/opinion/ai-is-t...5?st=xCBxUE&reflink=desktopwebshare_permalink

“… According to the U.S. National Archives and Records Administration, only 421.8 million pages out of an estimated 12 billion in their collections have been digitized. This is merely one of thousands of archives around the world, most of which are also largely undigitized and not likely to become fully available online anytime soon.…”
 

AI Is the Future, but It Knows Little of the Past​

The technology is limited to those pages it can see, and most original records aren’t yet digitized.​


🎁 —> https://www.wsj.com/opinion/ai-is-t...5?st=xCBxUE&reflink=desktopwebshare_permalink

“… According to the U.S. National Archives and Records Administration, only 421.8 million pages out of an estimated 12 billion in their collections have been digitized. This is merely one of thousands of archives around the world, most of which are also largely undigitized and not likely to become fully available online anytime soon.…”
This is sort of a "yes, but..." thing, though, and one that stresses the value of archivists in the digital age. There is a lot of work to do, and an urgent need to store both digital and print copies of a lot of documents that, without the improvements in AI technology, would have been believed by most people (including the archivists themselves) to be lost, if they ever knew of their existence in the first place. Far too much valuable information is currently stored in remote/hard-to-find locations, and there is no documentation of much of it. AI and other new technologies are revolutionizing the field, and are going to be make search and retrieval of these documents possible in a way it never has been to this date. It actually is what has me most excited about the "modern world."

The open access vs infringement on copyright as it relates to authorial rights conversation, which reared its ugly head at the beginning of the digital age, is in the process of blowing up.

And it's one that there are a lot of valid points for each side on.
 
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MIT report: 95% of generative AI pilots at companies are failing

"Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects."

"How companies adopt AI is crucial. Purchasing AI tools from specialized vendors and building partnerships succeed about 67% of the time, while internal builds succeed only one-third as often."
 
MIT report: 95% of generative AI pilots at companies are failing

"Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L. The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects."

"How companies adopt AI is crucial. Purchasing AI tools from specialized vendors and building partnerships succeed about 67% of the time, while internal builds succeed only one-third as often."
That's a good article. I thought this paragraph was interesting too:

"More than half of generative AI budgets are devoted to sales and marketing tools, yet MIT found the biggest ROI in back-office automation—eliminating business process outsourcing, cutting external agency costs, and streamlining operations."

I do think AI is coming hard but there will be plenty of use cases, even ones that sound promising, that will fail.
 
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