{ "balance_version": "1.0.0", "beam_rule": { "angle": "angle = 8 x |H - B| / (H + B) degrees, clamped to 8, heavier pan down", "both_lists": "a story on both lists sits at the fulcrum and moves neither pan", "constants": { "deadband": 2, "max_deg": 8, "min_tagged": 5 }, "level_when": "|H - B| <= 2 or H + B < 5", "never_on": [ "the counters", "the registers in data/ledger.json", "SIREN against BLISS", "severity tiers, item scores, recency, corroboration or engagement", "counts from different windows or source sets", "any language-model or sentiment judgement" ], "print": "the two counts, large; never their difference or their ratio as a number", "tilts_on": "newsroom.beam.harm against newsroom.beam.benefit: distinct stories matching one list only, in one window, by one rule" }, "counters": { "benefit": [ { "ai_specific": true, "context_only": true, "counts": "Structure predictions the AlphaFold Protein Structure Database search returns, single chains and complexes together.", "does_not_count": "Experimental structures, validated structures, or anything a prediction was used for. A prediction is not a drug. The total jumps whenever a provider batch lands, so a rise says a batch landed.", "endpoint": "https://alphafold.ebi.ac.uk/api/search?q=*&type=main&start=0&rows=0", "error": null, "id": "alphafold-db-entries", "keyless": true, "label": "AlphaFold DB structure predictions, single-chain plus complexes (total)", "meta": { "num_found_exact": true }, "side": "benefit", "state": "live", "unit": "structure predictions", "value": 261328474, "window": null, "windowed": false }, { "ai_specific": true, "context_only": false, "counts": "Registered studies matching \"artificial intelligence\" or \"machine learning\" in any of about 40 registry fields, whose start date falls in the window AND is marked ACTUAL by the sponsor. Interventional and observational both.", "does_not_count": "Results, approvals or patient benefit: a trial starting is a commitment, not an outcome. Trials whose sponsor has not yet updated the start to ACTUAL, so the newest days read low. Registered plans whose start is still marked estimated.", "endpoint": "https://clinicaltrials.gov/api/v2/studies?query.term=%22artificial%20intelligence%22%20OR%20%22machine%20learning%22&filter.advanced=AREA%5BStartDate%5DRANGE%5B%7Bfrom%7D%2C%7Bto%7D%5D%20AND%20AREA%5BStartDateType%5DACTUAL&countTotal=true&pageSize=1&fields=NCTId", "error": null, "id": "clinicaltrials-ai-starts-30d", "keyless": true, "label": "ClinicalTrials.gov: AI trials that actually started in the window", "meta": { "filter_advanced": "AREA[StartDate]RANGE[2026-09-15,2026-10-15] AND AREA[StartDateType]ACTUAL", "query_term": "\"artificial intelligence\" OR \"machine learning\"", "registry": "ClinicalTrials.gov API v2" }, "side": "benefit", "state": "live", "unit": "trials started", "value": 13, "window": { "from": "2026-09-15", "to": "2026-10-15" }, "windowed": true }, { "ai_specific": true, "context_only": false, "counts": "Every device on the FDA AI-Enabled Medical Device List, one row per authorisation (510(k), De Novo or PMA), from the first in 1995 to the newest the file carries.", "does_not_count": "Use, outcomes or benefit to patients: the list records marketing authorisation. Devices the FDA has not yet added (the list lags by about two months, so the newest months read low). Devices the FDA did not identify as AI-enabled.", "endpoint": "https://www.fda.gov/media/178541/download?attachment", "error": null, "id": "fda-ai-enabled-devices", "keyless": true, "label": "FDA AI-enabled medical device authorisations (cumulative)", "meta": { "by_year": { "1995": 2, "1997": 1, "1998": 2, "2001": 2, "2002": 1, "2004": 1, "2005": 1, "2006": 1, "2008": 5, "2010": 2, "2011": 3, "2012": 5, "2013": 4, "2014": 6, "2015": 6, "2016": 18, "2017": 27, "2018": 65, "2019": 80, "2020": 114, "2021": 129, "2022": 162, "2023": 226, "2024": 235, "2025": 335, "2026": 181 }, "decisions_in_window": 0, "distinct_submissions": 1614, "file_last_modified": "Fri, 04 Sep 2026 11:54:10 GMT", "list_page": "https://www.fda.gov/medical-devices/software-medical-device-samd/artificial-intelligence-enabled-medical-devices", "newest_decision": "2026-06-29", "oldest_decision": "1995-09-29", "rows": 1614, "unparseable_dates": 0 }, "side": "benefit", "state": "live", "unit": "devices authorised, cumulative", "value": 1614, "window": null, "windowed": false } ], "dark": 0, "harm": [ { "ai_specific": true, "context_only": false, "counts": "Incidents whose earliest linked report was submitted to the database inside the window: the editors' intake, in whole UTC days.", "does_not_count": "Harms that happened in the window (the incident date lags entry by months or years). Verified harms: the database is volunteer-curated from press reports and many entries are allegations. Incidents nobody reported to it.", "endpoint": "https://incidentdatabase.ai/page-data/apps/incidents/page-data.json", "error": null, "id": "aiid-incidents-entered-30d", "keyless": true, "label": "AI Incident Database: incidents first entered in the window", "meta": { "entry_date_rule": "earliest date_submitted among the incident's reports, as a UTC day", "incidents_total": 1736, "incidents_without_entry_date": [ 88, 141 ], "max_incident_id": 1747, "newest_entry_day": "2026-10-10", "unparseable_report_dates": 0 }, "side": "harm", "state": "live", "unit": "incidents entered", "value": 58, "window": { "from": "2026-09-15", "to": "2026-10-15" }, "windowed": true }, { "ai_specific": false, "context_only": true, "counts": "Entries CISA added to its Known Exploited Vulnerabilities catalogue inside the window, for any vendor and any product.", "does_not_count": "Anything specific to AI. When exploitation happened: dateAdded is the cataloguing date. Exploitation the US government did not observe, or did not publish.", "endpoint": "https://www.cisa.gov/sites/default/files/feeds/known_exploited_vulnerabilities.json", "error": null, "id": "cisa-kev-added-30d", "keyless": true, "label": "CISA KEV: vulnerabilities catalogued as exploited in the window (not AI-specific)", "meta": { "catalog_version": "2026.10.14", "count_declared": 1745, "date_released": "2026-10-14T19:27:28.0105Z", "rows_malformed": 0, "rows_usable": 1745, "this_month": { "count": 15, "month": "2026-10" } }, "side": "harm", "state": "live", "unit": "vulnerabilities catalogued", "value": 35, "window": { "from": "2026-09-15", "to": "2026-10-15" }, "windowed": true }, { "ai_specific": true, "context_only": false, "counts": "News-detected AI incidents and hazards dated inside the window, as the OECD monitor classifies them. The classification is made by OpenAI models in the OECD's pipeline, not by a person and not by this site.", "does_not_count": "Verified harm: it counts media-reported events. It does not separate incidents (harm occurred) from hazards (harm plausible). The last three or so days of the window are incomplete.", "endpoint": "https://oecd.ai/en/incidents?search_terms=%5B%5D&and_condition=false&from_date={from}&to_date={to}&properties_config=%7B%22principles%22%3A%5B%5D%2C%22industries%22%3A%5B%5D%2C%22harm_types%22%3A%5B%5D%2C%22harm_levels%22%3A%5B%5D%2C%22harmed_entities%22%3A%5B%5D%2C%22business_functions%22%3A%5B%5D%2C%22ai_tasks%22%3A%5B%5D%2C%22autonomy_levels%22%3A%5B%5D%2C%22languages%22%3A%5B%5D%7D&order_by=date&num_results=20", "error": null, "id": "oecd-aim-incidents-30d", "keyless": true, "label": "OECD AI Incidents and Hazards Monitor: incidents and hazards dated in the window", "meta": { "classifier": "OECD pipeline: GPT-4o mini filter, GPT-4o incident-or-hazard, o3-mini metadata and clustering", "newest_days_incomplete": "events are processed one to four days after they occur", "wording": "About" }, "side": "harm", "state": "live", "unit": "incidents and hazards", "value": 681, "window": { "from": "2026-09-15", "to": "2026-10-15" }, "windowed": true } ], "live": 6, "never_summed": true, "window": { "anchor": "2026-10-15T05:24:59.328Z", "days_back": 30, "from": "2026-09-15", "to": "2026-10-15" }, "window_rule": "the 30 whole UTC days before the anchor day plus the anchor day so far, both ends inclusive; the anchor is generated_at" }, "generated_at": "2026-10-15T05:24:59.328Z", "generated_at_rule": "the newest timestamp among the inputs (news, SIREN, BLISS, ledger as_of_date), never the clock", "honesty": [ "No net score. Nothing in this file adds a harm to a benefit, subtracts one from the other or divides one by the other, because the two sides share no unit.", "The beam compares two counts made by one rule over one set of headlines: distinct stories in the newsroom's current window that matched the harm list only, against those that matched the benefit list only. It moves on nothing else.", "A headline count is a count of words, not of outcomes. The stories that match neither list are counted and published beside the other two every time, so the two pans never pose as the whole newsroom.", "Each counter is published as its publisher reports it, in its own unit and window. A counter that failed is dark, with its error, and never a zero.", "SIREN and BLISS are printed as context and never compared here. A BLISS with no frozen reference is printed as awaiting baseline, never as a number." ], "indices": { "bliss": { "degraded": false, "error": null, "failed_sources": [], "generated_at": "2026-10-15T05:24:59.328Z", "index": "BLISS", "level": null, "level_name": null, "posture": "awaiting-baseline", "printed_as": "awaiting baseline", "score": null, "sources_reporting": 10, "sources_total": 10, "state": "awaiting-baseline" }, "doomcon": { "dark_pillars": [], "degraded": false, "error": null, "generated_at": "2026-10-15T05:21:57.534Z", "index": "SIREN", "level": 4, "level_name": "ROUTINE", "printed_as": "score", "score": 56.62, "state": "live" }, "note": "Context only. 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