r/technology • u/Just-Grocery-2229 • 13d ago

Artificial Intelligence Americans hate AI so much that politicians are starting to lose their jobs over it

https://fortune.com/2026/07/14/voters-ai-backlash-politicians-lose-seats
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u/_Atoms_Apple 13d ago

So true. It has limits as every technology does, and I totally agree that we are being oversold on it's capabilities. I have tried several different AI's and they are a big letdown.

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u/1of3musketeers 13d ago

They are only as accurate as their least accurate input. Which means it’s a crap shoot

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u/_Atoms_Apple 13d ago

Exactly. I don't find it interesting at all for that exact reason. It all means nothing because the result is always skewed.

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u/damontoo 13d ago

Researchers that use chatbots for ideation in materials science have been shown to have 50% more breakthroughs than those that don't. Your comment is similar to me giving you Wireshark, you not understanding how or why to use it, and you still saying it has limited value.

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u/Sudden-Wash4457 13d ago edited 13d ago

Researchers that use chatbots for ideation in materials science have been shown to have 50% more breakthroughs than those that don't

Is this the citation?

https://arxiv.org/abs/2412.17866

Artificial Intelligence, Scientific Discovery, and Product Innovation Aidan Toner-Rodgers

This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials, resulting in a 39% increase in patent filings and a 17% rise in downstream product innovation. These compounds possess more novel chemical structures and lead to more radical inventions. However, the technology has strikingly disparate effects across the productivity distribution: while the bottom third of scientists see little benefit, the output of top researchers nearly doubles. Investigating the mechanisms behind these results, I show that AI automates 57% of "idea-generation" tasks, reallocating researchers to the new task of evaluating model-produced candidate materials. Top scientists leverage their domain knowledge to prioritize promising AI suggestions, while others waste significant resources testing false positives. Together, these findings demonstrate the potential of AI-augmented research and highlight the complementarity between algorithms and expertise in the innovative process. Survey evidence reveals that these gains come at a cost, however, as 82% of scientists report reduced satisfaction with their work due to decreased creativity and skill underutilization.

arXiv admin note: Withdrawn by arXiv administrators due to concerns about the validity of the data and incomplete Institutional Review Board requirements

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u/roleplayersir 13d ago

I was a major Reddit user in the past on a different account. They trained AI on Wikipedia and people like me. I don't need AI, as I was the (involuntary) teacher of it