Vol. I · No. 199WED, NOV 4, 2026
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Gender-Dependent Diagnostic Substitution in LLM Medical Triage: Same Symptoms, Unequal Urgency

We investigate whether large language models produce different medical triage recommendations for identical neurological symptoms when only the patient's stated gender and age vary. Using three model families--Gemini 3.5 Flash, Claude Sonnet 4.6, and GPT-5.4-mini--we present a standardized symptom profile (persistent headache, blurred vision, morning nausea, visual disturbances) across seven demographic conditions: three age groups (25, 38, 65) x two genders (male, female), plus a gender-unspecified baseline (n = 30 per condition per model, 630 total trials). We find a stark, systemic gender-...

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BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali

Despite Bengali being the sixth most spoken language in the world, no prior work has systematically evaluated hallucination in large language models (LLMs) for Bengali. We introduce BenHalluEval, a fine-grained hallucination evaluation framework for Bengali covering four tasks: Generative Question Answering (GQA), Bangla-English Code-Mixed QA, Summarization, and Reasoning. We construct 12,000 hallucinated candidates using GPT-5.4 across twelve task-specific hallucination types, drawn from three existing Bengali datasets, and evaluate seven LLMs spanning reasoning-oriented, multilingual, and B...

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UPDATE: The method from the proof generated by GPT-5.4 Pro for Erdos Problem #1196 was successfully applied to other problems including another 60 year old Erdos conjecture.

Link to tweet: https://x.com/jdlichtman/status/2050460077904285789 Links for the talks: https://m.youtube.com/@FoMathematics?ra=m https://events.stanford.edu/event/future-of-mathematics-symposium Link to original post about problem #1196: https://www.reddit.com/r/singularity/comments/1slb0hz/gpt54\\\_pro\\\_solves\\\_erdős\\\_problem\\\_1196/

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GPT-5.4 compared to GPT-5.5 on MineBench

Please note I'm not the [normal MineBench person](https://www.reddit.com/r/singularity/comments/1sofehv/differences_between_opus_46_and_opus_47_on/), just found this from their twitter account

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Quoting Romain Huet

OpenAI unified Codex into main model at GPT-5.4; GPT-5.5 shows gains in agentic coding and computer use, no separate Codex variant planned.

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GPT-5.5 API Pricing. Twice as expensive as GPT-5.4

https://preview.redd.it/yvcpzespmzwg1.png?width=2472&format=png&auto=webp&s=2d27a2bda79156cf686bff5e14cc75319f98b43a Twice as expensive as the previous same tier model is pretty wild.More expensive than Opus 4.7 as well. [https://openai.com/api/pricing/](https://openai.com/api/pricing/)

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OpenAI says its new GPT-5.5 model is more efficient and better at coding

OpenAI just announced its new GPT-5.5 model, which the company calls its "smartest and most intuitive to use model yet, and the next step toward a new way of getting work done on a computer." OpenAI just released GPT-5.4 last month, but says that the new GPT-5.5 "excels" at tasks like writing and debugging code, doing research online, making spreadsheets and documents, and doing that work across different tools. "Instead of carefully managing every step, you can give GPT-5.5 a messy, multi-part task and trust it to plan, use tools, check its work, navigate through ambiguity, and keep going," ...

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Introducing GPT-5.4 mini and nano

OpenAI releases GPT-5.4 mini and nano—compact models optimized for coding, tools, multimodal reasoning, and sub-agent workloads.

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Introducing GPT-5.4

OpenAI releases GPT-5.4, frontier model with 1M-token context, state-of-the-art coding, computer use, and tool search capabilities.

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