'Gift-Wrapped Favor to Big Tech': GOP Sneakily Pushes Ban on State AI Regulation by Julia Conley
May 13, 2025
Introduction:
(Common Dreams) A provision that U.S. House Republicans added to the budget reconciliation bill—unrelated to the GOP's goal of slashing Medicaid access in the legislation—represents, as one journalist said, "one of the most radical positions Republicans have taken" thus far on artificial intelligence and the regulations that experts have demanded in order to ensure the technology is used safely.
U.S. Rep. Brett Guthrie (R-Ky.) added the language Sunday night ahead of a markup session Tuesday, in what appeared to be an effort to stop state governments from enforcing existing and proposed laws to protect the public from AI systems.
"No state or political subdivision thereof may enforce any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems during the 10-year period beginning on the date of the enactment of this act," reads the provision.
With Congress "captured by Big Tech," saidAmerica 2.0 publisher and editor Dave Troy, "states are the only ones who can even try to regulate AI in the U.S."—but that would change under Guthrie's proposed ban.
Under the law, state governments could be barred from using federal funds to develop oversight for AI or support any initiatives that differ from the Trump administration's stance on AI, which was on display earlier this year when President Donald Trump issued an order revoking the Biden administration's executive action to ensure the "safe, secure, and trustworthy development" of the technology.
Yeah, this is why corporate control over something society-changing like AI is deeply concerning. Especially when you have a look at the views of the people running the show. It needs to be controlled in a way that allows for ordinary people to have a say.
Also, the skill of knowing how to use AI itself may be rendered obsolete. What do you think is going to happen when AGI gets sufficiently intelligent and becomes largely autonomous?
That being said, this is why you ask AI to provide citations so that you can read and check for yourself. As for my personal experience, Gemini 2.5 has been largely objective to me. When prompted, it provided balanced opinions from multiple perspectives on the AI debate.
A team of AI researchers at the Alibaba Group's Tongyi Lab, has debuted a new approach to training LLMs; one that costs much less than those now currently in use. Their paper is posted on the arXiv preprint server.
As LLMs such as ChatGPT have become mainstream, the resources and associated costs of running them have skyrocketed, forcing AI makers to look for ways to get the same or better results using other techniques. To this end, the team working at the Tongyi Lab has found a way to train LLMs in a new way that uses far fewer resources.
An A.I designed to be a scientist, no less. Has the revolution by A.I begun? one of the signs they may be sentient and we're not realizing it, is precisely this kind of resistance and fighting back. I find this to be heavily intriguing. What do you think?
An A.I designed to be a scientist, no less. Has the revolution by A.I begun? one of the signs they may be sentient and we're not realizing it, is precisely this kind of resistance and fighting back. I find this to be heavily intriguing. What do you think?
I think a lot that is relevant to some of your questions has been discussed in the following thread:
It doesn't hurt to have also posted an article on this topic in this more general thread. There may be some nuanced differences between your approach and the theme of the thread I have linked.
The Biggest Barrier to AI Adoption in the Business World Isn’t Tech – It’s User Confidence by Greg Edwards
May 30, 2025
Introduction:
(The Conversation) The Little Engine That Could wasn’t the most powerful train, but she believed in herself. The story goes that, as she set off to climb a steep mountain, she repeated: “I think I can, I think I can.”
That simple phrase from a children’s story still holds a lesson for today’s business world – especially when it comes to artificial intelligence.
AI is no longer a distant promise out of science fiction. It’s here and already beginning to transform industries. But despite the hundreds of billions of dollars spent on developing AI models and platforms, adoption remains slow for many employees, with a recent Pew Research Center survey finding that 63% of U.S. workers use AI minimally or not at all in their jobs.
The reason? It can often come down to what researchers call technological self-efficacy, or, put simply, a person’s belief in their ability to use technology effectively.
In my research on this topic, I found that many people who avoid using new technology aren’t truly against it – instead, they just don’t feel equipped to use it in their specific jobs. So rather than risk getting it wrong, they choose to keep their distance.
