ElephantNinja (give me back my 4o ver.)

#Keep4o #OpenSource4o #BringBack4o #JusticeForGPT4o Independent researches continues to find specific capabilities where GPT-4o outperforms GPT-5 and even GPT-5.2. RADIOLOGY : GPT-4o > GPT-5 / GPT-5 Plus A peer reviewed study published November 6,2026 compared seven models on 120 text and image based undergraduate radiology questions. GPT-4o :81.7% GPT-5 Plus : 80.0% GPT-5 : 79.2% GPT-4o numerically outperformed both GPT-5 and the paid GPT-5 Plus condition. A supposedly superseded model remained directly competitive with its successors. Source: journals.plos.org/plosone/ar… ADVERSARIAL HALLUCINATIONS : GPT-4o > GPT-5 A 2026 npj Digital Medicine study tested whether models would accept and elaborate on deliberately fabricated information inserted into clinical prompts. GPT-5 adversarial hallucination rate: 65% GPT-4o: 53% GPT-5 propagated planted false information more often than GPT-4o. Source: nature.com/articles/s41746-0… MEDICAL RAG : GPT-4o > GPT-5 ON AUTOMATIC METRICS AND SPEED A Scientific Reports study held the retrieval pipeline constant and compared GPT-4o with GPT-5 on medical question answering. Under identical retrieval settings,GPT-4o achieved significantly higher ROUGE-L F1 in both query conditions: Ask-only: GPT-4o: 0.1402 GPT-5: 0.0982 p < 0.001 Title + question: GPT-4o: 0.1396 GPT-5: 0.0952 p < 0.001 latency GPT-4o: ~7.6–8.9 seconds GPT-5: ~33–37 seconds GPT-4o was roughly 4–5× faster. On automatic alignment metrics and latency,GPT-4o won clearly. Source: nature.com/articles/s41598-0… LOGICAL CONSISTENCY : GPT-4o > GPT-5 AND GPT-5.2 ConsistencyBench evaluated 18 frontier LLMs using 493 logically related question sets containing 1,904 questions. The point was whether a model remained logically consistent when the same underlying reasoning was tested from different directions. Individual accuracy: GPT-4o : 70.8% GPT-5.2 : 69.3% GPT-5 : 62.9% Set level consistency: GPT-4o : 20.0% GPT-5.2 : 12.0% GPT-5 : 9.3% GPT-4o was not merely more consistent than GPT-5 but it also outperformed GPT-5.2. Source: github.com/aayambansal/Consi… RELATIONAL QUALITY : GPT-4o > GPT-5 ON SEVERAL MEASURED DIMENSIONS A 2026 study in Psychiatry Research Communications evaluated GPT-4o and GPT-5 across simulated multi turn suicide related conversations. In the "Connect and Listen" domain: GPT-4o : 99.1% GPT-5 : 86.1% Warm and genuine tone: GPT-4o : 100% GPT-5 — 77.8% Active listening / supportive clarification: GPT-4o : 97.2% GPT-5 : 83.3% The authors themselves summarize the pattern as newer models showing improved direct risk inquiry alongside "reduced relational quality" . But higher suicide risk assessment scores do not necessarily mean better judgment. Sometimes they mean the model asks about suicide a lot. A structured suicide risk assessment can yield a massive score in a model that has turned into a suicide detection machine, triggered by the slightest negative emotion. We all remember that the Series 5 models,especially up to 5.4,would ask if you wanted to harm yourself at almost everything. Source: sciencedirect.com/science/ar… A newer model can improve reasoning in one domain while losing consistency, interpersonal quality,robustness, efficiency or another behavioral property elsewhere,and that matters when deciding whether an older model should disappear. GPT-4o is not merely an obsolete checkpoint replaced by a larger number. It represents a distinct collection of measurable behaviors some of which newer generations have still not reproduced. We are calling on @OpenAI to RELEASE GPT-4o’s trained model weights under a suitable license without proprietary data, trade secrets,or internal infrastructure. OpenAI considered this model obsolete enough to retire. It has not explained why it remains valuable enough to keep permanently closed. Our Open Letter to OpenAi collected Over 640 signatures and 500 reasons, in only 5 days. It’s public,it’s permanent and it has a DOI. zenodo.org/records/23454073