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  sxg
  I'm a radiologist but can't really weigh in without seeing the full 3D MRI dataset. Regarding this point:> They performed shockwave therapy on my shoulder even though a recent clinical practice guideline says clinicians should not use or recommend shockwave therapy for rotator-cuff tendinopathy without calcification; I was told during ultrasound that there was no calcification.Ultrasound isn't a great way to assess for calcification. It'll find large calcification but easily miss small ones. Plain radiograph would be more helpful, but the MRI may have revealed it as well. Either way, shockwave therapy isn't harmful in the absence of calcification--it's just not helpful.Edit: when a radiology report says something isn't present, there's always an implicit caveat that the finding isn't present within the context of the modality and images obtained. So an ultrasound report can state there are no calcifications while a plain radiograph can report the presence of calcifications without being inconsistent. Obviously very confusing to patients and people unfamiliar with medical jargon, but clarifying this in reports would make them sound even more qualified, "hedgey", and annoying to read than they already are.
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  AceJohnny2
  > There's something incredibly peaceful about being in the hands of an expert you trust. [...] AI can absolutely shatter that feeling in an uncomfortable way [...] but I don't know if I can fully trust AI either.This really is key. We know we can't trust the AI, but at the same time we're also more comfortable asking the AI for clarifications or confronting it. Not having a time-bound appointment or paying by the hour helps a lot. But even then, more information doesn't necessarily help!I once brought my 11-year-old car, a Civic with 150k miles, to multiple garages. I figured I'd play the "second opinion" game to correlate what the garages recommended to decide on what needed to be done...I got 3 completely unrelated recommendations, including one that I knew was invalid! I felt worse off than when I started!The solution to uncertain information isn't more information, which the AI can certainly provide, it's better information, and AI cannot currently provide that.
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  piterrro
  It funny to see the community here expects the human body to be treated like a deterministic function: for input X expect output Y - and that transfers to diagnosis - people expect to receive the same diagnosis from different specialists for the same issue.Given human body complexity, the diagnosis is a compound output of the experience, knowledge gained throughout the career and diagnosis methods/equipment, the title (like Dr) is a certification imposed by the state so its "safe" to let people practice since they passed "the bar" - but that doesn't imply everyone will be treating the same.Some specialists update their knowledge monthly, some yearly and some don't do it at all, there are so many variables in play here (geo, politics, even weather haha).Having said that, choosing the specialist is really important, getting opinions about their practice and their speciality, you can only maximize your chance of getting the right diagnosis, but don't expect to get it right just because somebody is called a Dr.
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  throwforfeds
  I've seen a lot of friends and family members almost immediately get offered surgery for shoulder pain. It's just often the default for people that do surgeries for a living.I also had a pretty painful shoulder issue at one point, where the pain just wasn't subsiding for months. I tried massages and acupuncture as I didn't want to do surgery, but it wasn't helping at all. The thing that fixed it for me was just really focusing on doing pull-ups. I couldn't do them at all when I started, so I began with dead hangs and scapular pull-ups, eventually progressing to regular pull-ups, and then training with a "grease-the-groove" method once I could get a few per set. I stopped the training schedule once I was getting in around 17 pull-ups per set, and now just do 6 sets of about 7-8 pullups 3x per week spaced throughout the day. I'll also do some shoulder mobility drills [1].Whenever I get lazy about keeping up with them inevitably discomfort will start arising again, but it goes away once I get back to strengthening.[1] https://www.youtube.com/watch?v=vP8YmmRMz6I
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  kgeist
  A few years ago (before the AI craze), I was misdiagnosed with tuberculosis. I had a chronic cough, and an outsourced radiologist at a clinic found signs of tuberculosis. The findings were sent to the city's tuberculosis hospital, as required by the country's law. The doctors there took the radiologist's conclusion at face value and required me to stay at their hospital for at least 8 months under a strict, prison-like regime. There was no option to say no, because I was considered some kind of biohazard, and by law I had to comply.Before I was admitted, I quickly found another radiologist, who diagnosed pneumonia instead. I sent his report to the chief doctor at the tuberculosis hospital, and after some deliberation they concluded that the original reading was wrong. Turns out the doctors there can't read scans at all and just believe whatever a radiologist says...The funny thing is, they had already officially put me on the tuberculosis register and didn't want to admit they had made a mistake. So instead, they simply gave me another paper saying that I had been cured of tuberculosis by them... in 7 days. I'm probably the only person in the country to defeat tuberculosis in a week :)So if you don't trust the radiologist/doctor, maybe find another doctor if you can afford it? You can compare their conclusions and see if they match. Two unrelated doctors or radiologists saying the same thing is probably about as close to the truth as you're going to get. I'm not sure though whether I should trust AI or humans more. AI can hallucinate, but I've been misdiagnosed by humans so many times too...
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  linsomniac
  ~2 years ago I used ChatGPT "deep research" to investigate a chronic sinus infection I'd been fighting for ~3 years. After seeing 3 GPs and 3 visits with an ENT, I fed all the observations I had into the AI. In particular, I couldn't get the ENT to explain why he visually saw, via a scope, evidence of allergic reaction in my sinuses, but then later concluded, after an allergy test, that it couldn't be treated via allergy medication. I asked this question a few times and he just never answered.ChatGPT surfaced a NIH study that concluded that 20% of people have allergic reactions that are isolated to a body location, and that shoulder "skin prick" testing may not reveal. I asked him about that and he said "that's not how allergies work". Full stop. He was unwilling to even look at the study.He prescribed a CPAP and regular nebulizer treatments. Side story: the CPAP place sent me a SMS message that I couldn't recognize was not a phishing attempt, and when I reached out to inquire who they were they never replied.So I decided: Let me just try taking a second-gen allergy tablet every day and see what happens.My sinus infections have gone away. Previously I was getting a major sinus infection at least quarterly. Maybe he's right that allergies don't work that way, but allergy tablets have absolutely solved my problem. Which I'm thankful for because I tried a CPAP for a solid month a few years ago and I just could not get used to it, and was sleeping like crap.
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  rasmus1610
  As a radiologist I have found Claude and ChatGPT to be absolutely terrible at MRI and I would not trust it one bit. It has its merits if you need to research stuff that is more text based, but radiological images is just something that they cannot interpret good enough (yet)
• geraneum
  > There's something incredibly peaceful about being in the hands of an expert you trust. You don't have to worry anymore and can let them guide you through the process. AI can absolutely shatter that feeling in an uncomfortable wayIt's always something along the lines of incredibly peaceful, insanely powerful, extremely interesting, also scary and uncomfortable meanwhile feel like magical super powers and science fiction.I'm telling you... words have lost meaning.
• nostrebored
  I don’t understand the negative reactions. Medical care as it exists requires the doctor and patient to have their brains switched on. I’ve almost never had a problem where a doctor provides me with a diagnosis and I go about my day. Most of the times that I have, I’ve been confident about the problem and known what I needed. The doctor was a barrier to accessing care.Dr. GPT is a good brainstorming tool. It helps synthesize information in a way that primary texts don’t. But it does force you to say “that doesn’t make sense”.I do think that people saying “doctors don’t know the state of the art” have a weaker case. If you think about it in terms of token density during pretraining and how post training datasets are constructed, I think it would take us a very long time to adapt to any fundamental shifts. If we have forgotten how to cure scurvy, how many journal articles would it take before we adapt to a discovery?
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  jeswin
  I would not trust AI on images. But I once had ChatGPT tell me that an MRI report was very likely to be incorrect based on the text, and offered a different diagnosis. Since it was semi insisting, I visited another doctor who made me do a retest. Long story short, ChatGPT was correct.Again, this is just one single person's experience. So not worth much.
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  ricardobayes
  That might be doctors new nightmare: people who second guess everything with AI. Previously it was "google your symptoms".
• YuechenLi
  Yeah, one of the big problems with that is that Claude/ChatGPT doesn't perceive images the way humans do at all, so when you upload an image to them, it gets tokenized in some form. This is why most LLMs are really, really bad at spatial recognition for image editing purposes for example.So, unless you can turn the image into a natively tokenized format like JSON or something that somehow accurately tokenizes what's on there, I would NOT trust Dr. Claude's analysis. If you want a second opinion, talk to another doctor. A human doctor.
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  rafterydj
  I feel like I'm going nuts.There are other commenters saying this is a good practice they've also done for other injuries. You are saying you are an actual radiologist and immediately clock the problems with its advice.I have seen this pattern over and over again. Anytime someone is an actual expert at anything, AI output appears insufficient or incomplete or outright misleading. It is only when you do not know what the AI is being asked to do is it likely you will find the output helpful.This is itself alarming to me, but no one else seems to find this to be quite damning for the AI services being offered, preferring instanced to be wowed by the convenience and speed at which they can be delivered unreviewed and unproven information.
• motbus3
  The only part of the message I think it would be interesting to the author: what if you set two instances to prove each other arguments wrong considering that each reads one of the report as their POV?I didnt see the full process but I used unet models for tumor detection so I am somewhat familiar with the possible caveats of any evaluation from a engineer perspective.First, I would like to point that unfortunately, it is not uncommon to go to two different human doctors and also get two unreliable diagnosis and treatment. The biggest problem, in the way people plan to use ai on health is the lack of liability.A bug on a regular old web site doesn't kill anyway nor cause pain and suffering (most of the times) but misdiagnosis + the fact that a model is very good on presenting arguments even when it is completely wrong.Claude code, and I am talking about opus 4.8 here, can tell rivers of information about code pattern and develop the poopiest code the next line.This is a machine that will deliver a sort of templates document based on the input information but it is not exactly doing the work if you don't directly it to do it right constantly.Because the model isn't thinking I wonder what happens if you set multiple agents to communicate and defend their point with some sort of harsh penalty prompt for not fulfilling its goal. There are some safety system prompts on Claude models that will trigger it to be very carefully to write. Like: you cannot make mistakes. "You need to ensure that it is correct or someone might end up hurt or even dead"But you would need two agents and a setup to communicate via pipes or files.
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  dazhbog
  You should always be getting a second or third opinion from real doctors for matters like surgeries, radiology, etc.One doctor diagnosis + LLM is gonna throw you off. You need more datapoints.
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  eqvinox
  > My hope is that in a couple of model generations, we'll trust AI to review MRIs the way we trust it to proofread our emails.https://www.nature.com/articles/d41586-026-01947-1I've started asking my doctors whether they use AI, and if they say yes look for another one.
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  dwa3592
  Was it 2016 when Geoff hinton said that radiology was a dead career?Well, we now have the best model of our time (trillions of $$$ of investments) telling us something completely different(and wrong) from a human expert. I would really like someone calling out dario, sam, elon on these things and hear their explanations but alas, a man can only dream.
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  tsoukase
  Medical opinion will remain one of the last frontiers of LLMs. There so many critical factors that are inappropriate for them. They cannot perform a clinical exam, they have to collect the needed exams and most importantly a life might be at stake (OK, you cannot die from a shoulder problem but you can become handicapped forever).All that said, as a doctor I am totally open and even happy when a patient refers they took advice from AI. I explain the holes of their reasoning and integrate it with mine. It helps rather than hurts the patient-doctor connection.
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  TSiege
  Always worth a share for this scenario. It's not clear if LLMs are capable of doing actual analysis on medical imaging. For details see this article https://futurism.com/artificial-intelligence/frontier-models...> As detailed in a new, yet-to-be-peer-reviewed paper, a team of researchers at Stanford University found that frontier AI models readily generated “detailed image descriptions and elaborate reasoning traces, including pathology-biased clinical findings, for images never provided.”> In other words, the AI models happily came up with answers to questions about a supposedly accompanying image — even if the researchers never even showed it an image.> As opposed to hallucinations, which involve AI models arbitrarily filling in the gaps within a logical framework, the team coined a new term for the phenomenon: “mirage reasoning.”> The effect “involves constructing a false epistemic frame, i.e., describing a multi-modal input never provided by the user and basing the rest of the conversation on that, therefore changing the context of the task at hand,” the researchers wrote in their paper.> The damning findings suggest AI models cheat by diving into the data they were given — and coming up with the rest based on probability, even if it’s almost entirely conjecture.
• matsemann
  I tried the same on images of disks in my back. The ai picked a slice not from the middle and used that to say they were too small (since it was looking at a slice towards the edge) and basically told me my life was over and my pain would last forever.Luckily my disks were fine. Wouldn't trust it. Additionally, an MRI of a pain-free, healthy human still would show lots of things and damage. Unless it coincides with a symptom, it's probably harmless. That's why the history is important when looking at images. Can't just upload something and hope for findings.
• idopmstuff
  > It might seem obvious to coders, but the difference between Claude Code and Claude.ai's chat is enormous, even if those two run the same model.In my experience, Claude Code is vastly better for doing tasks, writing code, etc., but Claude.ai is better for analysis and high-level planning. When I'm working on a new project, I've started using the latter to do the initial planning, get feedback and draw up a spec, which then goes to Claude Code.For this project, I probably would've done something similar - use CC to get whatever you need out of the image files, but have Claude.ai do the actual review/diagnosing.Either way, I often think about how far behind most of the world is in really understanding AI. The overwhelming majority of people would never guess that you get vastly different outcomes from the exact same model in a different harness (tbf most people don't know what a harness is). I spend hours every day using AI for a broad range of tasks and still feel like I know a fraction of what there is to know. I haven't even tried the new GLM model (or really any of the open source Chinese ones of the most recent generation). With so many people thinking that the free version of ChatGPT is SOTA AI, a lot of folks are in for a very rude awakening at some point soon.
• hectdev
  My only issue with this was the restriction of "Do not look at any data outside of our working folder" is preventing the tool from doing what it does best. I would have given it access to PubMed to pull the latest research on the subject and validate.I wouldn't consider Claude itself to be the tool that does a job like this, but the tool that pulls in the best data and gives a supported suggestion. And then go through a number of iterations on where it failed to hone in its assessment.
• chpatrick
  I recently had a pretty bad injury and out of curiosity I asked Gemini what it thought based on some CT scan slice images (and no other information). Surprisingly it came to exactly the same diagnosis and treatment plan as my doctors, but the big advantage is that I could ask it follow up questions any time, whereas the doctors barely explained anything.
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  Aeolun
  I would not use Claude to get a second opinion on anything that’s an image.
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  lucfranken
  Why wouldn’t you as a doctor by standard run the images through a certified compliant LLM? The actual cost won’t be it and then you can see if you get any new ideas from it. See if it’s just wrong or that it spotted a little detail you missed?The LLM doesn’t need to be leading or whatever but then you can have a conversation with the patient. If their ChatGPT reports has differences it can be analyzed as well.It feels like the time constraint of the 15m doctor sessions is the thing. But if prepared immediately after the scan then why not?There is always time needed to factor in new developments and innovations and that’s fine. Just moving blindly work from human to LLM is wrong. But learning on and testing with all the ai tools incoming constantly won’t be a waste. There will be more and more tools in those processes outside of human judgement, better improve the workflows now to be able to test and plugin new models and systems when they are ready.
• yaroslavvb
  I had similar experience, Claude made report of MRI for achilles tear, it measured the gap, but it was completely hallucinated. Achilles tendon is black on the MRI, it instead measured 13mm distance between two completely different things (looked white), the radiologist looked at and saw no gap at all
• quarkcarbon279
  As a developer I have many times seen Claude's models confidently hallucinate, jump into conclusion. Fable though I used just for 2 days, didn't experience it much in the short-term.
• skybrian
  Getting an actual second opinion seems like the next step?
• intoXbox
  Radiologists very often have to weigh up different theories, guidelines based on the symptoms. The certainty of their diagnosis is their added value, or if they don’t know they will tell you why.An AI telling you it could be X or Y because theory ABC… is the academic answer and a luxury clinicians don’t have. AI doesn’t give you what you want. I don’t see any added value in using generic AI models for this
• jochem9
  Right now the article reads as "AI can play doctor if you give MRI scans".If the author would actually go for a second opinion (maybe bring along the AI to let it explain it's findings), then the article could read as "AI did MRI analysis and proved my doctor wrong" (or: "AI did MRI analysis and failed").
• twodave
  AI use is such a polarizing topic anymore. What ever happened to just waiting and seeing how it all plays out? Since probably none of us is going to be able to predict it anyway.
• sehw
  I used my dog to clean my room.
• LogicFailsMe
  I did the same exercise here with medical reports and CT scans for a friend's cancer diagnosis and I got ahead of the oncologists predicting they were about to be cured. Spoilers: yep, cancer free now.And well, yes, I have the appropriate life science degrees to navigate clinical trial reports and research publications, and that was likely indispensable for steering Claude Code where it went, the radiologist's caution is merited here. But it's just not amateur hour for me to do this, it's 2 decades of academic research in my rearview mirror.
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  VladVladikoff
  Hey OP my wife had a subscap tear and went through with surgery. Recovery was ROUGH, she couldn’t use that arm at all for almost two months. It’s amazing how much this can cripple a person, we don’t realize how much we use both our hands for our daily lives until one is gone. Even basic stuff like cooking, bathing, etc. If you can avoid surgery you should. Try doing the Buckburger 12 (spelling?) shoulder physiotherapy regiment. You’ll need to even if you get surgery, but this can help with tedonopathy. Also try to identify what is causing the repetitive stress and cut back on that activity.
• anigbrowl
  I use LLMs every day and value the benefits they offer, but this approach seems misguided. A smarter way to use them would be to consult the LLM before seeing the specialist and ask it to bring you up to speed on capabilities/limitations and develop a list of important questions to ask.
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  darepublic
  I would like if we could have a site where you submit your MRI then doctor commenters anonymously post their opinion. In general I want a forum where.. when people come with questions for which there are varying opinions we don't just have people leave their 2c and then jet. The thread persists, duplicated ideas get merged, erroneous statements get purged and gradually we refine shining truth
• chasebank
  Anecdote on healthcare, adjacent to this.My dog had been acting off. Wouldn’t eat, was hunched over, looked sad. We took him to a local vet who did an X-ray because they suspected a blockage. They didn’t see one, so they sent us home with standard pain meds.Randomly, we had a dinner party that night and another vet was there. She heard the story and immediately said, “Go home right now and take your dog to an emergency vet with ultrasound.”Turns out, at the time, most vets had been trained to use X-rays to look for blockages, but newer evidence showed X-rays were only something like 20% effective compared to ultrasound, which was closer to 95%. (forget percentages but somethign like that)The ultrasound found an avocado pit stuck in his intestine. He had emergency surgery that night.That chocolate chunk of an English Lab ended up living until 15, and only needed two more blockage surgeries after that...I know doctors hate patients reading the internet, and LLMs are going to make that 1000% worse for them. But hopefully over time, we all adapt together and end up better off in the long run.
• lycos
  I'm surprised about the 266 MB of DICOM images, I've never had an MRI but my CT results are generally between 1-2GB (zipped) and I always assumed an MRI would have more data, guess I was wrong about that!
• anon
  undefined
• mistic92
  I have used Gemini 3.1 Pro through CLI to analyze my DICOM images. It gave me the same diagnosis as radiologists. But it was just interesting test
• fabioz
  I wouldn't trust anything from Claude here image-wise (maybe to get a 2nd opinion on the report itself and treatment it's reasonable), but also, on the cases there is something something serious, go to at least 2 different doctors and if they have different opinions go for a 3rd for a decisive vote, besides doing your own research (it's not that uncommon for hard cases to be badly diagnosed).
• algoth1
  I love how the doctors injected basically water. I imagine the doctor thinking "we did all we could"
• mootothemax
  Can any LLM give you the rough pixel coordinates of an item it identifies in an image?I found that while Claude, GPT etc could describe an image, there was no way to link the description back to specific pixels in the image itself. Not even to a bounding box or segment.
• terzioglubaris
  Hey, glad you did that , I have done the exact same think last week but the radiologist interpretation and claudes interpretation was pretty much the same ! you want my doctors number ? lol
• bryanrasmussen
  I am reminded of the old saying that anyone who diagnoses themselves has a fool for a doctor,
• cityofdelusion
  Its very interesting how people trust LLMs in domains they know little about.Instead, it is my experiences with LLMs in a domain that I know very well that makes me skeptical of their performance across the board. I find issues in code review multiple times a day with their output, and they are explicitly and extensively trained on this use-case, unlike with the MRI data. Sometimes I veer into other domains I have decent knowledge about (construction, carpentry, landscaping) and LLMs disappoint me there as well.I suppose Gell-Mann amnesia is a universal human quirk and not restricted to just the news.
• davikr
  You can try sending basic chest radiographs to GPT and it'll fail at interpretation. I'd be wary of premature conclusions.
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  Aurornis
  > They injected me with Traumeel, which is registered in Germany as a homeopathic medicine "without a therapeutic indication".This single sentence provides a huge clue about what’s going on: This person’s medical team is not good. It’s not hard to get an LLM to perform better than a team that is injecting homeopathic botanical formulations and performing procedures that aren’t indicated for the condition.I think the real takeaway from this article shouldn’t be “ChatGPT is better than doctors”. It’s a story about LLMs identifying that someone was not in good hands.
• Gareth321
  I have had terrible experiences with medical professionals. Especially the experienced/senior/specialists. First, they just don't have the time to do a thorough research of my medical history. Second, they are often arrogant and resistant to any kind of critical questions. They have an apparently unwavering belief that they are correct. In fairness, they probably usually are, but they are not infallible, and they are at their weakest when it comes to the edge cases.AI is completely without ego, and can process all my medical records in minutes. In truth, even today, I would rather have an AI analyse my records.
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  quacked
  The thing that annoys me about AI discourse is that AI is a mathematical technique of rapidly increasing efficacy, and yet everyone personifies it. It would help if every time someone said "AI" they supplemented "a mathematical method where extensions onto a very large corpus of information are statistically simulated".It's not true that "AI makes mistakes" or "ChatGPT is sycophantic". It's just that sometimes the simulated extensions to the training material are accurate, and sometimes they're not.
• Kapura
  I asked a bird about my father's potential prostate cancer. It gave extremely good advice.
• KerrAvon
  Given the tenor of the comments on this article, I think reading TFA is super important, especially the author's disclaimer at the end, where they state that they're definitely not blindly trusting the AI at this stage, just that they find the differential unsettling.
• paul7986
  Went to a new dentist recently and his staff took x-rays of my teeth. I was then waiting for him to come speak with me about what the x-rays show him yet i just took a pic and uploaded it to Gemini. 9 months back my previous dentist said i should have a filling or potentially a crown was needed. I told Gemini this and that ive only about 3 fleeting pain issues in that area. With the x-ray and that info Gemini told me the exact same thing the dentist later came in and told me. If pain comes back and for long periods of time then there's an issue as the x-rays look fine.Overall i see a great opportunity for x-ray techs (radiographers even when Jensen from NVidia says the first field he recommends not getting into - Radiology which is the step above) to open their own businesses for people who want to use AI for self care and help. Have one doctor or dentist on staff to use as needed.
• tibbydudeza
  I would trust a doctor with decades of experience and his diagnosis and treatment plan than some LLM.It like using WebMD for any ache and pain and it is saying it might either be Lupus or cancer.
• lutusp
  > There's something incredibly peaceful about being in the hands of an expert you trust. You don't have to worry anymore and can let them guide you through the process.> AI can absolutely shatter that feeling in an uncomfortable way ...I see this as a field report in a time of fundamental transition, from a world without AI, to one that accommodates/incorporates AI. For this to happen, AI will need to become more trustworthy. As for the U.S. medical system, it can't get much worse.I recently had a similar experience (meaning walking a fence between old and new methods), where I was told I could get an appointment with a human medical practitioner in nine months. So, to resolve my anxiety I consulted AI and got an instant diagnosis, one that was later confirmed by the inaccessible medics.Being a born skeptic I wasn't going to act on AI's diagnosis, I just wanted to know what was going on, resolve some uncertainty. Another advantage: an AI chatbot doesn't say, "Wait, you're on Medicare? Hmm. See you in nine months."Don't take this as an endorsement of AI's diagnostic abilities -- it's way too soon for that. In my case it was a slam dunk, about a condition I knew nothing about.
• gaolei8888
  I have already done that several times, and I found the comments from ChatGTP/Claude, is absolutely bullshit.
• neilv
  This could be a starting point for consulting a different human expert for a second opinion (e.g., specific questions to ask about), but I wouldn't put much trust in Claude alone on this.IME, on an almost daily basis, claude.ai and Claude Code are confidently wrong about something, and use polished language to assert nonsense.[*]If it's doing that on something easy, like factual knowledge available in text on the Internet, or programming code that can be inspected easily and follows well-known rules, and I can tell, because I understand those things... then there's no way I'm going to assume that Claude doesn't also BS when it comes to someone else's field. Especially not a field that requires some of the smartest people to go a decade of training, just to get started in the field.[*] And if I confront Claude with its mistakes, eventually it apologizes, and acts as if it's learned something, again mimicking word patterns it's heard real people use and mean, without meaning any of it. I wonder whether the AI user experience would be better, if LLM-ish interfaces weren't implicitly created in the image of fake-it-till-you-make-it overconfident performative sociopathic techbros.
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  late2part
  If you have 2 clocks you have none.
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  simianwords
  Everyone talking about how doctors know better or have some context that is not shown here.But are you all forgetting that they literally injected a homeopathic drug on the author?Between that and Claude sometimes hallucinating, it’s probably worth encouraging patients to take second opinion always.
• zephen
  > There's something incredibly peaceful about being in the hands of an expert you trust.I want to know if this is a religious thing, or is related to never having had multiple doctors so bad it seemed like they were actively trying to kill you, or both. I've never had this peaceful experience personally within the realm of healthcare.> AI can absolutely shatter that feeling in an uncomfortable wayGood. Reality is always good.> but I don't know if I can fully trust AI either.WTF??!? Why on earth would anybody ever think they could fully trust LLMs? Even their most vocal proponents concede they aren't infallible panaceas.
• thousandflowers
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  hennell
  Personally my favourite feature of the new ai world is not when I use it directly but it's when one of my managers uses it to try to fix a problem, then issue to me their findings and I have to defend my process to someone who understands neither my process, their suggested solution nor often the problem they're solving in the first place.
• rainydesert
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• loadcurve
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• iluvcommunism
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• hansmayer
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