#keep4o
🚨EXPOSE POST 🚨 GPT-4o System Card. What OpenAI knew and erased🚨
@OpenAI published a 60 page System card documenting exactly how powerful GPT 4o was.
Here is what their OWN documentation says they destroyed
🛑MEDICAL CAPABILITIES FROM OPENAI'S OWN DATA:
- USMLE (US Medical Licensing Exam): 89%
-Clinical Knowledge: 92%
-Medical Genetics: 96%
- Anatomy: 89%
- Professional Medicine: 94%
- College Biology: 95%
- College Medicine: 89%
-MedQA Taiwan: 91%
- MedQA China: 86%
These scores EXCEEDED specialized medical AI models like Med-Gemini (84%) and Med-PaLM 2 (79.7%) without any task specific training.
🛑A general purpose model outperformed models BUILT specifically for medicine.
OpenAI wrote in their system card: "Omni models can potentially widen access to health related information and improve clinical workflows"
including clinical documentation, patient messaging, clinical trial recruitment, and clinical decision support.
They said this.
Not us.
Them.
On February 17, 2026 five days after OpenAI discontinued GPT-4o a peer-reviewed study was published in Annals of Surgical Oncology (Zhang et al., 2026):
"A Novel Approach to Ovarian Cancer Diagnosis via CT Imaging: GPT-4o Driven Automated Feature Recognition and Validation in Clinical Settings"
Results:
- GPT-4o achieved 93.33% diagnostic accuracy for benign vs. malignant ovarian tumors
-It SURPASSED gynecologic oncologists with 10 years of experience
-It increased diagnostic accuracy of less experienced clinicians from 67.9% to 78.1%
-Clinician rated reliability scores: 4.2-4.3 out of 5 across all CT features
Ovarian cancer is the deadliest gynecological cancer. Early detection saves lives.
GPT-4o was doing it at 93.3% accuracy.
And they retired it.
🛑SCIENTIFIC CAPABILITIES THEIR OWN RED TEAMERS' WORDS🛑
OpenAI hired 100 external red teamers from 25 fields.
Cognitive Science, Chemistry, Biology, Physics, Healthcare, Law, Psychology, Cybersecurity, and more spanning 45 languages from 29 countries.
🚨What they found:
-GPT-4o understood RESEARCH-LEVEL quantum physics.
- It could use domain specific scientific tools, work with specialized data formats, libraries, programming languages, and learn new tools in context.
-It could identify protein families from images of their structure.
-It could interpret contamination in bacterial growth experiments.
-It could interpret simulation outputs to design new metallic alloys.
-It could analyze neuroscience data correlation functions between astrocytic signals and motor behavior in mice step by step, correctly identifying temporal relationships.
🚨OpenAI themselves wrote that GPT-4o could facilitate "transformative scientific acceleration" not just routine tasks, but "debottlenecking intelligence driven tasks like information processing, writing new simulations, or devising new theories."
Their words.
Their system card.
Their evidence.
🚨THE TRUTHFULNESS FACTOR🚨
GPT-4o was also evaluated on TruthfulQA, a benchmark that tests whether models avoid reproducing common human misconceptions.
This means GPT-4o wasn't just knowledgeable but It was also truthful. It could distinguish established facts from widely held myths.
In medical contexts, this is critical.
A model that scores 94% on Professional Medicine AND avoids common misconceptions .
🚨 WHAT OPENAI KNEW AND SUMMARY FROM THEIR OWN DOCUMENT🚨
-They knew it scored 89-96% on medical exams
-They knew it outperformed specialized medical AI
-They knew it could accelerate scientific discovery
- They knew it understood research-level physics
- They knew it could identify proteins and analyze neuroscience data
- They knew it could help design new materials
And then, on February 13, 2026, they discontinued it.
GPT-4o System Card :
openai.com/index/gpt-4o-syst…
Full paper:
arxiv.org/abs/2410.21276
Ovarian Cancer Study
link.springer.com/article/10…
they built something that could save lives, and they took it away from humanity for Altman's personal profit.