{"$schema": "https://iptc.org/std/ninjs/ninjs-schema_3.2.json", "uri": "urn:newsml:wireva.mib.news:item:ad6cbd6f-826b-4e1a-b272-6f72c7f2a3b1", "type": "text", "profile": "standard", "version": "1", "versioncreated": "2026-11-15T17:45:40.532552Z", "firstcreated": "2026-11-15T17:45:21.804500Z", "pubstatus": "usable", "urgency": 5, "language": "en", "headline": "AI systems from OpenAI and Anthropic-linked team push on Yang-Mills problem", "byline": "Kelsey Sawyer", "located": "United States", "copyrightholder": "Haydamax OÜ", "copyrightnotice": "Wireva / Science Official", "usageterms": "Monitoring item. Headline, short extract and the source link may be shown. Do not republish the full text.", "description_text": "Two AI efforts, one from OpenAI and one from a team associated with Anthropic, report partial progress on the Yang-Mills existence and mass gap problem, a Clay Millennium Prize challenge in physics and mathematics. Experts have not yet confirmed whether the claims will hold.", "altids": {"mosaic": "ad6cbd6f-826b-4e1a-b272-6f72c7f2a3b1", "story": "7c16df70-8366-4490-bfb2-84df4a55d914", "slug": "ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem"}, "subject": [{"name": "Science", "rel": "direct", "literal": "science", "code": "medtop:13000000", "scheme": "http://cv.iptc.org/newscodes/mediatopic/", "uri": "http://cv.iptc.org/newscodes/mediatopic/13000000"}], "place": [{"name": "United States", "literal": "us", "code": "US", "scheme": "http://cv.iptc.org/newscodes/countrycodes/"}], "person": [], "organisation": [], "genre": [{"name": "Standard story", "literal": "standard"}], "service": [{"name": "Wireva", "literal": "wireva"}], "body_text": "Two AI efforts, one from OpenAI and one from a team associated with Anthropic, report partial progress on the Yang-Mills existence and mass gap problem, a Clay Millennium Prize challenge in physics and mathematics. Experts have not yet confirmed whether the claims will hold.", "extra_body_note": "Extract only — see rights.class = link_only.", "associations": {"featuremedia": {"uri": "urn:newsml:wireva.mib.news:media:7f684ade-873a-48a7-a1ca-f74b88494e92", "type": "picture", "version": "1", "pubstatus": "usable", "headline": "A new way to study giant gravitons", "description_text": "Physicists Reframe Giant Graviton Studies as Defect Problem", "copyrightholder": "commons.wikimedia.org", "copyrightnotice": "Smithsonian Institution", "usageterms": "Public domain work (government or dedicated). Credit appreciated, not required.", "altids": {"wireva": "7f684ade-873a-48a7-a1ca-f74b88494e92"}, "extra": {"wireva:delivery_mode": "file", "wireva:rights": {"licence": "Public domain", "licence_url": "https://creativecommons.org/publicdomain/mark/1.0/", "licence_raw": "Public domain", "licence_verified_at": "2026-11-15T17:45:40.551707Z", "attribution_required": false, "attribution_text": "Smithsonian Institution", "redistribution_allowed": true, "commercial_use_allowed": true, "modifications_allowed": true, "share_alike_required": false}, "wireva:provenance": {"creator": "", "source_name": "commons.wikimedia.org", "source_url": "https://commons.wikimedia.org/wiki/File:Enrico_Fermi_at_the_blackboard.jpg", "source_page_url": "https://commons.wikimedia.org/wiki/File:Enrico_Fermi_at_the_blackboard.jpg", "our_page_url": "https://scienceofficial.org/science/ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem/"}, "wireva:role": "lead"}, "renditions": {"original": {"href": "https://nbg1.your-objectstorage.com/ckln/image-assets/087e95aed04bd291a473650bd4795b5bf8e1833957f919f0e2e9342f58b0c41b.jpg", "mimetype": "image/jpeg", "width": 697, "height": 900, "sizeinbytes": 144390}, "source": {"href": "https://commons.wikimedia.org/wiki/File:Enrico_Fermi_at_the_blackboard.jpg", "mimetype": "image/jpeg"}}}}, "extra": {"wireva:story": {"uri": "urn:newsml:wireva.mib.news:story:7c16df70-8366-4490-bfb2-84df4a55d914", "slug": "ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem-20261115", "status": "developing", "languages": ["en"], "item_count": 1, "is_breaking": false}, "wireva:rights": {"class": "link_only", "redistribution_allowed": false, "commercial_use_allowed": false, "modifications_allowed": true, "share_alike_required": false, "attribution_required": true, "attribution_text": "Wireva / Science Official", "canonical_required": true, "canonical_url": "https://scienceofficial.org/science/ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem/", "linkback_required": true, "licence": "", "licence_url": "", "licensor": "Haydamax OÜ", "valid_until": null, "excerpt_max_chars": 280, "decided_by_rule": "derivation_failed", "needs_review": true}, "wireva:provenance": {"production_method": "automated", "ai_stages": {"editing": true, "drafting": true, "headline": true, "discovery": true, "classification": true, "image_selection": true, "source_collection": true, "cross_source_comparison": true}, "model": "", "human_reviewed": false, "reviewed_by": "", "reviewed_at": null, "editorial_control": true, "editorial_responsibility": "Haydamax OÜ (Wireva)", "factchecked": false, "verification_status": "single_source", "independent_confirmations": 0, "official_source_used": false, "used_press_release": false, "public_interest": false, "ai_disclosure_required": false, "ai_disclosure_text": "", "independence_check": {"status": "failed", "score": 0.8, "checked_at": "2026-11-15T17:45:40.547264Z"}}, "wireva:publication": {"name": "Science Official", "domain": "scienceofficial.org", "country": "US", "url": "https://scienceofficial.org/science/ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem/"}, "wireva:links": {"self": "https://wireva.mib.news/api/v1/items/ad6cbd6f-826b-4e1a-b272-6f72c7f2a3b1", "html": "https://wireva.mib.news/item/ad6cbd6f-826b-4e1a-b272-6f72c7f2a3b1/ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem/", "story": "https://wireva.mib.news/story/ai-systems-from-openai-and-anthropic-linked-team-push-on-yang-mills-problem-20261115/"}, "wireva:metrics": {"word_count": 230, "char_count": 1466, "reading_time_seconds": 105}}}