{"schema":"postcutoff/event@1","as_of":"2026-10-25T23:49:00+01:00","url":"https://postcutoff.com/e/2026-10-25-ai-assisted-results-october-25-listing/","md":"https://postcutoff.com/e/2026-10-25-ai-assisted-results-october-25-listing/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2026-10-25-ai-assisted-results-october-25-listing","date":"2026-10-25","date_precision":"day","short_title":"AI-assisted results in the 25 Oct 2026 sweep","deck":"GPT-5.5 Thinking steers a neutral-atom tweezer array, GBClaw grain-boundary agent, ChatGPT Astra-built bone-marrow model","takeaway":"No new arXiv announcement on Sunday. Three leftover 17–20 Oct preprints give an AI model a working role in a physics experiment, a materials simulation campaign and a biomedical model. None is a famous-problem result.","category":"science","category_label":"Science & math","importance":2,"confidence":"medium","status":{"key":"pending","labels":["Awaiting review"]},"sources":[{"n":1,"title":"arXiv 2610.25014: Large Language Model Steering of Acousto-Optic Tweezer Arrays","url":"https://arxiv.org/abs/2610.25014","type":"paper","group":"primary","domain":"arxiv.org"},{"n":2,"title":"arXiv 2610.28629: GBClaw, an agentic AI framework for atomistic grain boundary research","url":"https://arxiv.org/abs/2610.28629","type":"paper","group":"primary","domain":"arxiv.org"},{"n":3,"title":"arXiv 2610.24728: Evidence-informed dynamic modelling and intervention prioritisation in diabetic bone marrow","url":"https://arxiv.org/abs/2610.24728","type":"paper","group":"primary","domain":"arxiv.org"}],"official":3,"filed":"2026-10-25","updated":"2026-10-25","orgs":["OpenAI","various researchers"],"title":"AI-assisted results in the 25 Oct 2026 sweep: GPT-5.5 Thinking steers a neutral-atom tweezer array, GBClaw grain-boundary agent, ChatGPT Astra-built bone-marrow model","summary":"Catalogue of AI-disclosing preprints from the 17–20 Oct 2026 arXiv listings that no earlier roundup cited, read on 25 Oct. An LLM (GPT-5.5 Thinking via ChatGPT Plus) chose the control strategy for a 10×10 acousto-optic tweezer array, cutting non-uniformity from 20.30% to 1.57%. GBClaw (Georgia Tech, GPT-5.6 Sol and Luna) ran grain-boundary simulations in nickel. A Bristol modeller built a dynamic bone-marrow model through dialogue with ChatGPT (Astra, Extra High).","key_facts":["LLM steering of acousto-optic tweezer arrays (Cheng Sheng, …, Gao-xiang Li; Huazhong Normal University and CAS Wuhan; 2610.25014): 'We test this role on the optical control subsystem of a neutral-atom apparatus using OpenAI GPT-5.5 Thinking through ChatGPT Plus.' The LLM recommended the model, update scale and next action. Deterministic software did the fitting, and an experimentalist authorized every hardware update. When separable row–column correction stalled, the LLM moved the workflow to a drift-corrected local response-matrix method. The Gaussian-peak coefficient of variation fell from 20.30% to 1.57% in 30 rounds","GBClaw (Yazhuo Liu, Kunqing Ding, …, Ting Zhu; Georgia Tech, Osaka, USC; 2610.28629): agentic framework (orchestrator, specialized agents, LAMMPS/OVITO/ASE tools, hierarchical memory) that 'used both GPT-5.6 Sol and GPT-5.6 Luna, with task-dependent model routing'. Applied to 14 general asymmetric tilt grain boundaries in nickel, it characterized interfacial defect structures and deformation modes and found that secondary GB misfit dislocations strongly change shear strength. Researcher-guided follow-up calculations traced an anomalously high shear resistance to metastable boundary structures","Diabetic bone-marrow dynamic model (Paolo Madeddu, University of Bristol; 2610.24728): 'AI assistance was provided through iterative dialogue with ChatGPT (OpenAI; Astra, Extra High reasoning setting). ChatGPT assisted evidence extraction, proposed regulatory rules and alternative assumptions, and supported coding and simulation.' The three-level logical model ranks endothelial ROS suppression as the best single intervention (score 24.2); ROS suppression combined with OSM blockade or p66Shc loss scores 37.9. The author says experiments must test this","Checked, no AI disclosure found in the PDF: symmetric-group generation by prefix reversals (2610.30892), Wilf-equivalences / Dumont permutations conjecture (2610.30975), polynomial coefficients (2610.29132), Toeplitz semi-commutators (2610.30787), 2D MHD stability (2610.28308), radiating-gas model (2610.29462). Associated primes of monomial ideals (2610.27916) declares no generative AI use"],"key_numbers":[],"tags":["physics","materials","biology","arxiv","catalogue","chatgpt","gpt-5-5","gpt-5-6","gpt-6-astra","agents"],"science":{"field":"physics","subfield":"multiple (atomic physics / quantum control, materials, systems biology)","problem":"See list","result":"Catalogue of AI-disclosing preprints from 17–20 Oct 2026 not cited by earlier roundups","open_since":"","ai_system":["GPT-5.5 Thinking","GPT-5.6 Sol","GPT-5.6 Luna","GPT-6 Astra","ChatGPT"],"human_role":"Human-in-the-loop strategy choice (tweezers), agent-run simulation campaigns with researcher follow-up (GBClaw), dialogue-built model (bone marrow)","verification":{"key":"preprint","label":"Preprint only","text":"Unrefereed arXiv preprints; the tweezer result is a physical experiment"},"status":"pending","shock":"","verified_by":["preprint"],"kind":"batch"},"body_md":"## What happened\n\nSunday 25 Oct had no new arXiv announcement. The sweep listed 17–22 Oct papers that earlier roundups had not cited. Most of\nthem only mention LLMs as a topic (benchmarks, applications). PDFs of the uncited maths papers and of the three papers that\ngave an AI model a working role were scanned (pdftotext). Quotes above are from the PDFs.\n\n## Why it matters\n\nThe tweezer paper is a small but concrete case: a general-purpose chat model chose the experimental strategy on real quantum\nhardware, while a human authorized each step. None of the items is a famous-problem result.","disputed":[{"label":"Verification","text":"Unrefereed arXiv preprints; the tweezer result is a physical experiment","sources":[]}],"related":[{"id":"2026-10-24-oai-math-revised-community-hub","url":"https://postcutoff.com/e/2026-10-24-oai-math-revised-community-hub/","date":"2026-10-24","date_precision":"day","short_title":"oai-math-revised: mathematicians launch a community hub to revise OpenAI's AI-written math manuscripts (guest post on Tao's blog)","deck":null,"takeaway":"This is the first organized attempt by research mathematicians to digest and credit the OpenAI catalogue.","category":"research","category_label":"Research","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":4,"official":3,"filed":"2026-10-25","updated":"2026-10-25","orgs":["OpenAI","mathcommunity"]},{"id":"2026-10-24-ai-assisted-results-october-24-listing","url":"https://postcutoff.com/e/2026-10-24-ai-assisted-results-october-24-listing/","date":"2026-10-24","date_precision":"day","short_title":"AI-assisted results in the 24 Oct 2026 sweep","deck":"ChatGPT 6 Astra removes a Hodge-conjecture assumption, Bake AI's Épi agent, Google's lab-in-the-loop aptamer agents, agentic turbulence closures","takeaway":"No new arXiv announcement on Saturday; this page clears the backlog of AI-disclosing papers from 16–22 Oct that earlier listings did not cite. Two got their own entries: Nakayama's local height note, outlined by ChatGPT 6 Astra, and Bake AI's Épi agent.","category":"science","category_label":"Science & math","importance":2,"confidence":"medium","status":{"key":"pending","labels":["Awaiting review"]},"sources":9,"official":8,"filed":"2026-10-24","updated":"2026-10-24","orgs":["OpenAI","Google Research","Google DeepMind","Anthropic","Bake AI","various researchers"]}],"people":[],"posts":[],"videos":[],"models":[],"changes":[{"date":"2026-10-25","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-10-25","run":null,"sources_read":null,"updated":"2026-10-25","human_review":null,"version":{"date":"2026-10-25"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":178,"in_training_data":false},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":117,"in_training_data":false},{"model_id":"gemini-4-argon","name":"Gemini 4 Argon","cutoff":"2026-03","days_after":208,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":147,"in_training_data":false}],"short_url":null}