The author of the article is misrepresenting several historical facts.
The pope didn’t try to “ban” printed books, but keep publications under tight catholic control under threat of excommunication. If we were to apply this to the current AI landscape, the “church” would be a number of massive corporations fighting to keep their stolen data “closed”.
Fust wasn’t “chased out” because scribes feared a loss of influence. They already were notaries and bureaucrats, they were doing just fine. The issue was publishing control under the church mandate, which again, correlates to what AI companies are doing right now.
The studies we reviewed show that the use of AI has improved the radiologists’ performances, treatment response, diagnostic accuracy, and decision-making in handling complex cases.
Hardly a game changer of the magnitude you think of. Moreover, CV is not generative. Pattern matching on X-rays has been common for a while, and has little to do with the current heavily marketed landscape of LLMs for everything.
This is one article. Are you actually interested in learning about the benefit of AI in cancer research? I could post a dozen articles, but would it make a difference to you? Also keep in mind it’s only going to get better as the models improve. I suspect your position is more ideological rather than rational.
And I suspect your position comes from not doing any due diligence on the matter.
Funny that you call mine “ideological” though, since you are the one making claims without any substance, e.g. “it’s only going to get better”. How could you even know? Not even researchers at the very edge do. There have been concerns about the future availability and quality of data. Plenty of researchers have come forward pointing that poisoning a LLM is exceedingly easy. Really, how do you know that “it’s going to get better”? Explain that to me. What do you know that everybody else doesn’t?
How do you even know that AI, as we know it, it’s going to be revolutionary in the near future? Most people only know of technology successes because of survivorship bias, but I’ve been through several revolutions that faded out. How is this one different? And why would you think you’re right, when not even expert researchers are sure?
True, but printing presses errored in consistent ways and could easily be fixed by someone literate in the language being printed. The only black boxes were the cases containing letter stamps. The smashing was happening because of what was being printed, and not because suddenly statistically relevant portions of the workforce were now unemployed and possibly unemployable. The situation is a bit different…
Not that different than now. Are people pushing back against AI when it’s used to accelerate cancer research data? The pushback is when people think it’s being used against them, just like the printing press.
People also smashed printing presses when they first arrived.
https://bigthink.com/the-past/printing-press-ai/
The author of the article is misrepresenting several historical facts.
The pope didn’t try to “ban” printed books, but keep publications under tight catholic control under threat of excommunication. If we were to apply this to the current AI landscape, the “church” would be a number of massive corporations fighting to keep their stolen data “closed”.
Fust wasn’t “chased out” because scribes feared a loss of influence. They already were notaries and bureaucrats, they were doing just fine. The issue was publishing control under the church mandate, which again, correlates to what AI companies are doing right now.
Printing presses made knowledge more widely available for everyone.
LLMs do the exact opposite.
AI has accelerated cancer research, able to cross reference thousands of studies. LLM’s still suck at writing emails though.
So it’s a search tool. Where are all those AI generated cancer treatments, then?
Regardless, it’s a tool that very few can afford at the level it might be genuinely useful for original research.
Except that it actually sucks at searches and far too often returns false results.
You could have done a quick google search as easily as myself.
https://www.nature.com/articles/s41698-026-01276-6
AI is a game changer in oncology.
You haven’t read it, have you.
Hardly a game changer of the magnitude you think of. Moreover, CV is not generative. Pattern matching on X-rays has been common for a while, and has little to do with the current heavily marketed landscape of LLMs for everything.
This is one article. Are you actually interested in learning about the benefit of AI in cancer research? I could post a dozen articles, but would it make a difference to you? Also keep in mind it’s only going to get better as the models improve. I suspect your position is more ideological rather than rational.
https://acsjournals.onlinelibrary.wiley.com/doi/full/10.1002/cncr.70050
And I suspect your position comes from not doing any due diligence on the matter.
Funny that you call mine “ideological” though, since you are the one making claims without any substance, e.g. “it’s only going to get better”. How could you even know? Not even researchers at the very edge do. There have been concerns about the future availability and quality of data. Plenty of researchers have come forward pointing that poisoning a LLM is exceedingly easy. Really, how do you know that “it’s going to get better”? Explain that to me. What do you know that everybody else doesn’t?
How do you even know that AI, as we know it, it’s going to be revolutionary in the near future? Most people only know of technology successes because of survivorship bias, but I’ve been through several revolutions that faded out. How is this one different? And why would you think you’re right, when not even expert researchers are sure?
I’ve already provided two references. Please feel free to post the link supporting that AI has no influence in medicine.
True, but printing presses errored in consistent ways and could easily be fixed by someone literate in the language being printed. The only black boxes were the cases containing letter stamps. The smashing was happening because of what was being printed, and not because suddenly statistically relevant portions of the workforce were now unemployed and possibly unemployable. The situation is a bit different…
Not that different than now. Are people pushing back against AI when it’s used to accelerate cancer research data? The pushback is when people think it’s being used against them, just like the printing press.