481–490 of 605 posts
I hope the stock gets destroyed next earnings when people realize they've been spending all this money on AI all to not ship a single meaningful feature nor derive any revenue leveraging it. They did the exact same thing with the whole "Metaverse" thing
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There is another real-world version of this in the US healthcare system, where doctor offices are using domain-specific LLMs to craft multi-page medical approval requests for procedures that cover every known loophole insurer’s use to deny, which are then being reviewed by ML-powered algorithms at the insurance company looking for any way to deny and delay the claim approval. In other words we have a bona fide AI arm…
Well, docs have seen this coming from miles away. I don't think anyone having substantial experience in clinical medicine is surprised by those developments, unfortunately. But it doesn't stop here. Insurance companies will be (are) building models to overcome legal barriers. Imagine: you're 20 and healthy, but located somewhere suggesting a higher risk of developing some chronic disease in the future ? Then no insur…
Without it, health insurance companies would have every incentive to do what car insurance companies do -- buy profiles and records from third parties and use those to adjust rates and willingness to insure.
E.g. the obvious step of buying genetic information from 23andme, because it isn't covered by HIPAA
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Inference uses hardly any compute. You should be complaining about computer games for real compute use.
I'm pretty sure they meant emissions/load from inference and/or training TIMES all the current LLM users on the Earth...
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There is another real-world version of this in the US healthcare system, where doctor offices are using domain-specific LLMs to craft multi-page medical approval requests for procedures that cover every known loophole insurer’s use to deny, which are then being reviewed by ML-powered algorithms at the insurance company looking for any way to deny and delay the claim approval. In other words we have a bona fide AI arm…
Interesting. Do you have any examples to share?
The closest were:
- "In constant battle with insurers, doctors reach for a cudgel: AI" from NYT (via Salt Lake Tribune), 2024 July, which is mostly on doctors using law-compliant LLMs to draft prior authorizations and has a passing one-graf mention of insurers likely doing the same: https://www.sltrib.com/news/nation-world/2024/07/11/constant...
- "The AI arms race over your medical bill" from Politico, 2024 Jan., summarizing LLM use in coding, billing, and fraud prevention: https://www.politico.com/newsletters/future-pulse/2024/01/05..., linking to https://www.politico.com/news/2023/12/31/ai-medical-expenses... and https://govciomedia.com/how-health-tech-leaders-use-ai-to-co...
Aside from that:
"Large Language Models to Help Appeal Denied Radiotherapy Services" from JCO Clinical Cancer Information, 2024 Sept. (abstract only; full-text paywalled) https://pubmed.ncbi.nlm.nih.gov/39250740/
"The potential of large language models in the insurance sector", 2024 Feb. (commercial white paper), largely focused on "fraud detection" in claims: https://www.milliman.com/en/insight/potential-of-large-langu...
"IQVIA NLP Risk Adjustment Solution (undated commercial white paper), marketing pitch on using AI to improve coding accuracy and reduce chart review times: https://www.iqvia.com/-/media/iqvia/pdfs/library/fact-sheets...
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I think most people just scroll instagram or tiktok. Because of lack of short content format earlier, mobile games became popular. That and lack of 5g infra. Both problems have been solved.
You didn’t need 5G to stream video. You could stream video well on “3.5G” with the enhanced GSM protocols
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There is another real-world version of this in the US healthcare system, where doctor offices are using domain-specific LLMs to craft multi-page medical approval requests for procedures that cover every known loophole insurer’s use to deny, which are then being reviewed by ML-powered algorithms at the insurance company looking for any way to deny and delay the claim approval. In other words we have a bona fide AI arm…
The year is 2035. To cut costs, both insurance companies and providers removed the human from the loop long ago setting off an adversarial process between the LLMs on both sides. Medical insurance claims are now written in an ever changing format that resembles no human language. United Healthcare has just announced a $10 billion project including a multi gigawatt data center to train its own foundational model to ke…
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I'm Scandinavian and not invested in the American culture wars and I still got a good chuckle out of how bad an idea this was. Who on earth could've thought it was a good idea to get an AI to pretend to be a black queer mother of two? I'm sure it'll piss off a lot of anti-woke people, but really, how on earth did the issues with this not become obvious for the team? I'm not sure if the AI knows who trained it (and I…
I'm baffled that they didn't even try to hide the fact these profiles are artificial but outright add that bleak gray text saying "AI managed by Meta". I mean, did we reach some checkpoint here where reality is blurred with fiction? Do we now treat these generated personas on par with real humans? Honestly, I don't think meta can go any lower from this point in order to get the user engagement with their silly playth…
Yes, the first interactive synthetic pop culture icon is probably the Vocaloid Hakune Mitsu, circa 2007, and she has lots of fans who know exactly who and what she is. I am not surprised Meta wants in on the "influencer" action with synthetic personas: no commissions to be paid, they can create a persona for every possible niche for a marginal cost.
The technology is not there yet, we've barely progressed from Tay in terms of corporates' ability to prevent their AIs from saying things that cause bad PR. AI is definitely coming for influencers, the economics are just too good
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It’s so bizarre to me that this uniquely US phenomenon of for-profit-middlemen inserted into the healthcare system has resulted in an adverserial relationship between the sick person and the “healthcare provider”. I put that air quotes because insurance companies don’t actually provide health care. They provide insurance. That’s a financial product, not a medical one.
> That’s a financial product, not a medical one. It often goes unsaid, but America, on a cultural and political level, is really ideologically fixated on a distinction between working and non-working individuals, and, in a far deeper sense, whether an individual "deserves" healthcare or not. This makes access to healthcare intricately connected to class, wealth, and income, in America. That's why access to healthcare…
If you have literally no income (or your income is entirely "off the books"), then you qualify for medicaid; everything is covered with no premiums, copays, or deductibles. At a middle-class level of income, you're probably looking at either a comparatively shitty ACA marketplace plan, or a comparatively shitty employer-provided HDHP plan. At an upper-class level of income, you can afford top-of-the-line healthcare.
I get the hate, but I'd be open to trying out a social media experience that is a mix of human and bots, especially as the bots get better at acting like reasonable humans. Stack Overflow was great when it came out. But the whatever percent of humans who were mean and obnoxious and wouldn't let you just ask your questions eventually ruined it all. Then ChatGPT came out without any humans to get in the way of me askin…
The user hostility is partly what keeps the spam and repeated questions out. They even have a peer pressure achievement for deleting a post after someone commented on it.
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I hate the journalists pretending that ML is regurgitating facts instead of just random tokens. The ML model doesn't know who programmed it and can't know because that wasn't in the training data.
> I hate the journalists pretending that ML is regurgitating facts instead of just random tokens. They aren't claiming that what the AI said was fact. It seems your hate comes from lack of understanding.