🪨 (@Varpie)

nixCraft 🐧 @nixCraft@mastodon.social

New York Times tech workers are on strike for fairer pay and just cause job protections.

Perplexity, an AI company that has repeatedly ripped off the work of human journalists and created a mess for every human work, is now offering help to the New York Times.

See how these AI companies are stealing jobs from humans and then selling back services at a price. www.404media.co/perplexity-ai-offers-to-help-new-york-times-with-tech-union-strike/

nixCraft 🐧 @nixCraft@mastodon.social

This is not going to end well for human tech workers, journalists, writers, & artists. The billionaire AI tech bros found a new loophole to make money. The laws are slow to catch up with this kind of abuse. By the time laws are updated, the whole generation of tech jobs will be lost forever. They are already deploying AI in hospitals to replace trained medical professionals. This will not going to reduce your medical bills. You have to be a delusional fool to think this will help you😅

🪨 @Varpie@peculiar.florist

@nixCraft Out of all the possible examples, you had to give one of the few cases where machine learning is actually well used... Unlike GenAI which is mostly profiting from stolen art and scraped social media posts, medical uses such as image classification to assist in cancer detection doesn't replace trained professionals but it allows them to focus on the cases that matter.

nixCraft 🐧 @nixCraft@mastodon.social

@Varpie I understand. Every tool, device, medicine and software used in the medical field is typically certified and approved by the FDA. I don't see Perplexity, OpenAI, or Microsoft obtaining such approval from the FDA. What happens when something goes wrong, or AI misses cancer screening and someone dies out? There is no procedure or even law in place to prevent this kind of abuse by AI companies, including responsibility for the loss of human life.

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🪨 @Varpie@peculiar.florist

@nixCraft That happens all the time already, and that's why it's not going to replace trained professionals. Let's take another example: with Covid, some companies created tests to detect it. They are not perfect, what happens when people got misdiagnosed, were told they didn't have Covid but they did, and ended up in the hospital a week later? Who was responsible then? It's a different tool, but it's the same thing, and there are already regulations for it.

🪨 @Varpie@peculiar.florist

@nixCraft And regarding the lack of regulations, here are some examples that are FDA approved:
- GI Genius, for colon cancer detection: www.fda.gov/news-events/press-announcements/fda-authorizes-marketing-first-device-uses-artificial-intelligence-help-detect-potential-signs-colon
- DermaSensor, for skin cancer detection: www.dermasensor.com/fda-clearance-granted-for-first-ai-powered-medical-device-to-detect-all-three-common-skin-cancers-melanoma-basal-cell-carcinoma-and-squamous-cell-carcinoma/

I won't look for more because there are plenty, but the FDA has been looking into medical usage of AI/ML since early 2021 at least: www.fda.gov/news-events/press-announcements/fda-releases-artificial-intelligencemachine-learning-action-plan