o3 pro is so smart
https://i.redd.it/72rcvi3szd7f1.jpeg
GPT-5 outperformed doctors on the US medical licensing exam
Paper: https://www.alphaxiv.org/pdf/2508.08224
Google's medical AI destroys GPT's benchmark and outperforms doctors
https://newatlas.com/technology/google-med-gemini-ai/
The SF police quietly re-opened the OpenAI whistleblower case after his parents revealed evidence of murder
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How I Built an Open Source AI Tool to Find My Autoimmune Disease (After $100k and 30+ Hospital Visits) - Now Available for Anyone to Use
Hey everyone, I want to share something I built after my long health journey. For 5 years, I struggled with mysterious symptoms - getting injured easily during workouts, slow recovery, random fatigue, joint pain. I spent over $100k visiting more than 30 hospitals and specialists, trying everything from standard treatments to experimental protocols at longevity clinics. Changed diets, exercise routines, sleep schedules - nothing seemed to help. The most frustrating part wasn't just the lack of answers - it was how fragmented everything was. Each doctor only saw their piece of the puzzle: the orthopedist looked at joint pain, the endocrinologist checked hormones, the rheumatologist ran their own tests. No one was looking at the whole picture. It wasn't until I visited a rheumatologist who looked at the combination of my symptoms and genetic test results that I learned I likely had an autoimmune condition. Interestingly, when I fed all my symptoms and medical data from before the rheumatologist visit into GPT, it suggested the same diagnosis I eventually received. After sharing this experience, I discovered many others facing similar struggles with fragmented medical histories and unclear diagnoses. That's what motivated me to turn this into an open source tool for anyone to use. While it's still in early stages, it's functional and might help others in similar situations. Here's what it looks like: https://github.com/OpenHealthForAll/open-health **What it can do:** * Upload medical records (PDFs, lab results, doctor notes) * Automatically parses and standardizes lab results: - Converts different lab formats to a common structure - Normalizes units (mg/dL to mmol/L etc.) - Extracts key markers like CRP, ESR, CBC, vitamins - Organizes results chronologically * Chat to analyze everything together: - Track changes in lab values over time - Compare results across different hospitals - Identify patterns across multiple tests * Works with different AI models: - Local models like Deepseek (runs on your computer) - Or commercial ones like GPT4/Claude if you have API keys **Getting Your Medical Records:** If you don't have your records as files: - Check out [Fasten Health](https://github.com/fastenhealth/fasten-onprem) - it can help you fetch records from hospitals you've visited - Makes it easier to get all your history in one place - Works with most US healthcare providers **Current Status:** - Frontend is ready and open source - Document parsing is currently on a separate Python server - Planning to migrate this to run completely locally - Will add to the repo once migration is done Let me know if you have any questions about setting it up or using it! -------edit In response to requests for easier access, We've made a web version. https://www.open-health.me/
Bro asked an AI for a diagnosis instead of a doctor.
https://i.redd.it/58ucgdy4comf1.jpeg
Another ChatGPT-written Elservier article piece...
https://i.redd.it/xmzeymxremoc1.jpeg
Year 2030 ChatGPT Be Like...😆
https://i.redd.it/0xqcotvqwfpe1.jpeg
OpenAI Spotted on Amazon in Unexpected Way
https://www.amazon.com/fulfill-request-respectful-information-users-Brown/dp/B0CM82FJL2 It's the actual product name!
Dead Internet Theory: this post on r/ChatGPT got 50k upvotes, then OP admitted ChatGPT wrote it
https://www.reddit.com/gallery/1gplgop
OpenAI brought tears to my eyes - it will revolutionize healthcare.
I am a medical student with three years of ICU experience, and now currently at an orthopedic surgery unit. Last week, I randomly discovered OpenAI Playground, and this is my experience: At first, I was not sure what it was all about, but when I finally understood how to use it and how to "correctly" ask certain questions, the results it generated, was interesting. To put it up for a true test, I gave it some data about an extremely complex ICU-patient. I gave it information about the patients gender, age, weight, and a short summary of that persons anamnesis. I further gave it information about the ventilators settings (percentage of oxygen, flow, PEEP etc), and a list of medicine. Based on all the data given, I asked it to create an opinion on the treatment, what the outcome could look like, what we should be aware of, and eventually a suggestion on what to do next. I gave it one question at a time, but based on the same data. The results it generated, were overwhelming. I literally started to cry, realizing how that very moment could change our lives forever. It was a truly life changing experience. It generated beautiful text, easy to understand and completely up to date with our latest protocols and knowledge within our medical field. The treatment strategy it generated was like taken straight out of my senior physicians notes. This machine did not come up with a standard protocol for a typical patient in a similar situation. It literally decided on the different variables, and made a treatment plan based on it. I was thinking about how useful this can be as a tool for doctors, physicians, nurses, physical therapists, and the list goes on and on. This technology will help us make more precise diagnosis, and suggest the best treatment strategy based on what information and data we provide it. This technology will save lives and optimize/increase the patients outcome and quality of life after a longer stay at hospitals. And this again will save money. It is a win win situation, if used correctly. A true game changer. I do not believe AI will make us more stupid. This has done the complete opposite for me. It has expanded my brain and given me new ideas. It has helped me to understand things in more simple ways, things that I have spent years trying to wrap my brain around. I am still shaking a bit after my experience with OpenAI Playground. And this is only the start. Imagine what it can do for us in 5 years. As a future doctor who wants to specialize in ICU and trauma, this tool is very welcome. Edit: typo
After 11 years, ChatGPT helped me solve chronic pins that no doctor could
Since 2010, I’ve had this strange issue where if I slept 5 to 6 hours, I’d wake up feeling like my body wasn’t mine. Heavy, numb, mid-back pain, like my system didn’t reboot properly. But if I got 8 hours, I was totally fine. The pattern was weirdly consistent. Over the years I did every test you can think of. Full sleep study, blood work, gut panels, posture analysis, inflammation markers. I chased it from every angle for 2 to 3 years. Everyone said I was healthy. But I’d still wake up foggy and stiff if I slept anything less than 8 hours. It crushed my mornings, wrecked my focus, and made short nights a nightmare. The funny part is, I was only 26 when this started. I wasn’t supposed to feel that broken after a short night. Then one day, I explained the whole thing to ChatGPT. It asked about my sleep cycles, nervous system, inflammation, and vitamin D levels. I checked my labs again and saw my vitamin D was at 25. No doctor had flagged it as the cause, but ChatGPT connected the dots: low D, poor recovery, nervous system staying in high alert overnight. I started taking 10,000 IU of D3 daily, and I’m not exaggerating — it changed everything. Within 2 to 3 weeks, the pain was gone. The numbness disappeared. I wake up at 6:30 now feeling clear, light, and fully recovered, even if I only sleep 5 to 6 hours. It’s actually wild. The part I keep thinking about is how far behind most doctors are. I don’t even think it’s a skill problem. It’s empathy. Most of them just don’t look at your case long enough to care. One even put me on muscle relaxants that turned out to be antidepressants. Now I’m a little more cynical and a lot more aware. And even with that awareness, it still took 11 years to land on something this simple. I learned to live with it and managed it well enough that it didn’t mess with my work or personal life. But I just hope this helps someone else crack their version of this.
Cardiologists working with AI said it was equal or better than human cardiologists in most areas
https://x.com/DKThomp/status/1843993273825964312
"I need to make sure not to deviate from the script..."
https://i.redd.it/pq6kmrn82pfe1.png
AI outperformed doctors on reasoning tasks.
AI outperformed doctors on reasoning tasks. Doctor = 30% correct diagnosis AI = 80% correct diagnosis These findings are from a study in arxiv which sought to evaluate OpenAI's o1-preview model, a model developed to increase run-time via chain of thought processes prior to generating a response. Performance of large language models (LLMs) on medical tasks has traditionally been evaluated using multiple choice question benchmarks; however, such benchmarks are highly constrained, and have an unclear relationship to performance in real clinical scenarios Clinical reasoning, the process by which physicians employ critical thinking to gather and synthesize clinical data to diagnose and manage medical problems, remains an attractive benchmark for model performance. The performance of o1-preview was characterized with five experiments including differential diagnosis, diagnostic reasoning, triage differential diagnosis, probabilistic reasoning, and management reasoning, adjudicated by physician experts with validated psychometrics. Significant improvements were observed with differential diagnosis generation and quality of diagnostic and management reasoning. However, no improvements were observed with probabilistic reasoning or triage differential diagnosis.Overall, this study highlights o1-preview's ability to perform strongly on tasks that require complex critical thinking such as diagnosis and management while its performance on probabilistic reasoning tasks was similar to past models.
What if OpenAI could load 50+ models per GPU in 2s without idle cost?
Hey folks — curious if OpenAI has explored or already uses something like this: Saw Sam mention earlier today they’re rebuilding the inference stack from scratch. this got us thinking… We’ve been building a snapshot-based runtime that treats LLMs more like resumable processes than static models. Instead of keeping models always resident in GPU memory, we snapshot the entire GPU state (weights, CUDA context, memory layout, KV cache, etc.) after warmup — and then restore on demand in ~2 seconds, even for 24B+ models. It lets us squeeze the absolute juice out of every GPU — serving 50+ models per GPU without the always-on cost. We can spin up or swap models based on load, schedule around usage spikes, and even sneak in fine-tuning jobs during idle windows. Feels like this could help: • Scale internal model experiments across shared infra • Dynamically load experts or tools on demand • Optimize idle GPU usage during off-peak times • Add versioned “promote to prod” model workflows, like CI/CD If OpenAI is already doing this at scale, would love to learn more. If not, happy to share how we’re thinking about it. We’re building toward an AI-native OS focused purely on inference and fine-tuning. Sharing more on X: @InferXai and r/InferX
Paper by physicians at Harvard and Stanford: "In all experiments, the LLM displayed superhuman diagnostic and reasoning abilities."
Paper: https://arxiv.org/pdf/2412.10849
Big new ChatGPT "Mental Health Improvements" rolling out, monitoring safeguards
OpenAI acknowledges that the ChatGPT reward model that only selects for "clicks and time spent" was problematic. New time-stops have been added. They are making the model even less sycophantic. Previously, it heavily agreed with what the user said. Now the model will recognize delusions and emotional dependency and correct them. OpenAI Details: Learning from experts We’re working closely with experts to improve how ChatGPT responds in critical moments—for example, when someone shows signs of mental or emotional distress. Medical expertise. We worked with over 90 physicians across over 30 countries—psychiatrists, pediatricians, and general practitioners — to build custom rubrics for evaluating complex, multi-turn conversations. Research collaboration. We're engaging human-computer-interaction (HCI) researchers and clinicians to give feedback on how we've identified concerning behaviors, refine our evaluation methods, and stress-test our product safeguards. Advisory group. We’re convening an advisory group of experts in mental health, youth development, and HCI. This group will help ensure our approach reflects the latest research and best practices. On healthy use Supporting you when you’re struggling. ChatGPT is trained to respond with grounded honesty. There have been instances where our 4o model fell short in recognizing signs of delusion or emotional dependency. While rare, we're continuing to improve our models and are developing tools to better detect signs of mental or emotional distress so ChatGPT can respond appropriately and point people to evidence-based resources when needed. Keeping you in control of your time. Starting today, you’ll see gentle reminders during long sessions to encourage breaks. We’ll keep tuning when and how they show up so they feel natural and helpful. Helping you solve personal challenges. When you ask something like “Should I break up with my boyfriend?” ChatGPT shouldn’t give you an answer. It should help you think it through—asking questions, weighing pros and cons. New behavior for high-stakes personal decisions is rolling out soon. https://openai.com/index/how-we're-optimizing-chatgpt/
We need a doctor
https://i.redd.it/0jtub7ztze9d1.png
ChatGPT is Best ER Doc
I recently thought I was having a heart attack, and was hustled to the local ER. I was very quickly given an EKG, a chest, x-ray, and a number of blood test tests. I was told that as soon as the blood test tests were ready, the doctor would be back with me. In the meantime, all my test results appeared in the app offered by my hospital system. I took everything — the EKG, the chest x-ray, and the blood tests — put them in a PDF, and passed them to ChatGPT. Before asking for the results to be interpreted, I discussed with ChatGP, the nature of my pain, its intensity, and how it was affected by movement. Based on this conversation and the test results, ChatGPT deduced I was not having a heart attack, but suffering from an inflammation of the tissue around my sternum. ChatGPT was careful to say I had done the right thing by going straight to the ER and seeing the doctor. But long before the doctor could get to me, I not only had my test results interpreted, but was also prepared with questions to help guide my doctor when we finally did have a conversation. (ChatGPT was right, by the way. The doctor even cited the exact same factors in his own diagnosis.) It was extremely reassuring to have someone with me who I felt was on my side, knew a little bit about my medical history and medications, and could very calmly and thoroughly examine evidence, step me through what the test results meant in plain English, and offer an accurate diagnosis in seconds. This was not the first time I’ve had this experience. When a beloved pet was ill, we took him to the vet. ChatGPT listened to the symptoms our dog was experiencing, analyzed blood test results, and told me, “I’m so sorry. I believe your pet has a tumor in the abdomen that might have burst. I hate to say it, but this is often fatal.” By the time the vet came back with the same diagnosis, I was prepared. Again, I felt like I had an advantage because I had someone knowledgeable on my side. My husband recently had a terrible rash appear on the backs of his legs. Several local doctors told us that this was an allergic reaction to the diet drug he’s been taking. They advised him to stop the drug, despite otherwise great results. ChatGPT, though, looked at a photo of the rash, listened to our stories, and said, “That’s contact dermatitis. At some point, you’ve sat in something that triggered a reaction in the skin.” Prepared with a list of questions, we went to go see an experienced dermatologist in a neighboring state. The dermatologist confirmed ChatGPT‘s diagnosis. I now routinely use ChatGPT to prepare for regular doctor’s office visits (to come up with questions to guide the session), review test results, and get the most likely diagnosis even before seeing a doctor. I’m not going to replace experienced, sound medical advice with an LLM. But especially in the state where I live, where our doctors are not the best, it’s reassuring to have a powerful tool for insight that helps me feel more in control of and informed about the choices I’m making.