This is one of the reasons for our long-standing dubiosity re: Andreessen/Bezos/Gate-backed KoBold Metals. What are they training the AI on? The people who have the mining information to run the machine learning programs are the mining companies and that information is as closely guarded as the gold in Fort Knox.
BHP has been an investor in KoBold for the last two years and they may be giving up some data to train the 'puters but what you want is all the mining knowledge in the universe so you get those serendipitous connections that wouldn't occur to a human being and that they don't yet have.
Anyhoo, from Observer, June 16:
While many predict ChatGPT and other public-use chatbots will soon become regular on-the-job tools, there is growing support for private chatbots, exclusive to company employees. On June 8, Meta (META) previewed an artificial intelligence tool called Metamate to its workforce. Metamate is trained on internal company data to answer employee questions, produce meeting summaries, write code and debug features. The productivity assistant is reportedly rolling out to a small group of Meta employees at this time.
There is already a demand for companies to provide consumer-facing chatbots, including ones that can perform customer service tasks and aid in e-commerce purchases. For example, Wells Fargo is launching a “virtual assistant” that can complete tasks based on prompts from the user, like transferring money and searching for purchases from a specific merchant. With this technology in hand, it’s likely the bank is developing a chatbot for internal use as well, similar to the Metamate, said Alberto Rossi, director of Georgetown University’s AI, Analytics and Future of Work Initiative. The group researches how AI will change the social and economic fabric of the workforce.
“I wouldn’t be surprised if, by the end of the year, all the major companies have this tool,” Rossi told Observer....
....MUCH MORE
Now Facebook Meta has been doing this since at least 2015 so they have an advantage over, say, General Motors, as does Tesla which has gatherd billions of miles of real world data for the AI to train on.
Here's one of our posts from October 2017:
Intel and Facebook Are Collaborating on Artificial Intelligence Technology (INTC; FB; NVDA)
Facebook is already kinda spooky with the NVIDIA-powered deep learning stuff they've been using the last couple years.
Who knows what features the new Intel chips have that convinced FB it was time to look further afield.
And before that, January 2017:
Facebook's Artificial Intelligence Plans (FB)
February 2017
Inside Facebook's Artificial Intelligence Machine (FB)
There's a good chance we'll be referring back to this piece so I wanted to have it easily available.
And March 2017
When Machines Won’t Learn: " Facebook shifts away from AI…" (FB)
Chatbots anyway.
The rest of Facebook's artificial intelligence push seems to be going into hyperdrive to keep up with Google, Baidu, Microsoft, Amazon and the thousand other companies and labs trying to figure out where this all ends up.
March 2019
Who's Up To Putting Facebook's Version Of Siri/Alexa In Their Home? (FB; GOOG; AMZN)
Anyone?
November 2020
Investor's Business Daily on Artificial Intelligence Stocks
There is a definitional problem with the term "AI stocks [or companies]" in that AI is a tool. Much as the (over) hyped nanotechnology revolution didn't produce "nanotech stocks" but instead became incorporated into processes and procedures that give companies employing same an incremental edge rather than epochal shifts.*
However, if there is an AI "company" Nvidia would deserve the moniker as much as anyone.
When
Google Glass was released the privacy peeps took center stage arguing
against people filming everything they looked at. They were right but
that is just a surface issue. And we are seeing that with the
introduction of Facebook's Meta's Ray-Ban® Stories "smart" glasses last month.
Ireland's Data Protection Commission issued a statement voicing some of their concerns, which is a good thing considering Ireland's position in the big-tech ecosphere. But they are limited in the scope of what they can object to, and there are a whole lot more objectionable ramifications of the Ray-Ban® Stories than whether the LED light used to notify people they are being filmed, whether it is large enough.
The glasses are being pitched to the retail user as a hands-free way to record the moments of your life la-di-da while what Facebook sees is a way to enlist millions of people into collecting data for Zuckerberg.
Think of it as the Google Street View cars collecting geospatial information combined with mobile facial recognition cameras combined with machine-learning training material combined with.....
And in the meantime though the metaverse is
seen by some as an electronic bread-and-circuses; the real-world sucks
so here, try our digital crack, which is probably true but barely
scratches the surface of what's going on.
Here is Tiernan Ray (no relation to Ray-Ban®) with more:
And many, many more. The key is the training and how much data you can shove down thoes hungry little GPU gullets.
