Bio geek, sci-fi geek, cunning linguist.
Misandry, nerdy humour, and frank talk about body parts.
Bio geek, sci-fi geek, cunning linguist.
Misandry, nerdy humour, and frank talk about body parts.
This worst part is not the little mistakes, e.g. the wrong condition written on a form. Doctors make those mistakes too, and even though the LLM makes more of them, they're easily corrected.
The bigger issue is the focus problem. The LLM doesn't know what's important.
I'm currently seeing a doctor for a course of treatment. We check in monthly to see how the treatment is going, tweak my other meds, and talk about any issues that come up.
Because he is a normal human person, he starts every consult by asking me how I am and what's happening in my life. At our last consultation, I mentioned some life stress.
The LLM wrote in my consult notes that I was consulting him for the life stress. It doesn't even mention the condition I'm being treated for. Now that's in my notes, and when the doctor goes to review them (or if another clinic needs to look at them), they'll get completely the wrong idea about the consultation. The very serious medical condition is de-emphasised, and the inconsequential chatter is given pride of place.
I'm basically in the position of having to write my own consult notes for every consultation, and give a list of corrections to the doctor. It's another laborious task that makes medical care inaccessible.
When headlines say "AI" has done something cool:
1. They're probably talking about a technique/algorithm trained on a relatively small number of relevant data points, collected for this or a related task, NOT a general purpose LLM chatbot
2. If they are referring to a chatbot and claim it is doing something amazing, it's probably a lie, an exaggeration, criti-hype, or an unfalsifiable claim about the distant future
3. The equivocation between the AI's in 1 and LLM chatbots is intentional
E.g. "Researchers are using AI to find new drugs" means that they're probably running a program that's closer to a linear regression than a chatbot in its scale and architecture to extrapolate from previously characterized molecules to other areas of research
This does NOT mean that a chatbot has helped to cure cancer in any way
And anyone who uses this as a justification for hyperscale data centre investment, LLM adoption, or "AI" generally is being deceptive through equivocation on purpose
Now that Hockey Night in Canada isn't on the CBC anymore, I think @gvwilson has the best idea I've heard in a while:
The CBC should sign the PWHL, change literally nothing else at all about Hockey Night In Canada. Take no questions about it and just continue as though nothing had happened.
Still attempting to pivot out of academia and into a pharma consulting, real-world evidence, outcomes research, medical writing or data science role
It's not a crisis right now, but the job I'm in won't last forever, it turns out
I'm actually hoping to get a job with a big pharma company, so if anyone here lives in that world or can help me get in, would appreciate very much
Also,
no need to reply if you're going to tell me about how bad big pharma is
The Government of Canada launches [biased] public consultations on the future of Billy Bishop Toronto City Airport [that theyāve already decided to expand]
Complete the anonymous survey [and give them your concerns] here: https://tc.canada.ca/en/corporate-services/consultations/public-consultation-future-billy-bishop-toronto-city-airport
Reasons why this is bad in thread!