{
  "schema": "cortist.milestone-candidates.v1",
  "published": "2026-10-27",
  "candidateCount": 5,
  "probabilitiesIssued": 0,
  "lockedForecasts": 0,
  "scoredForecasts": 0,
  "status": "Research watchlist only; no numerical forecast published",
  "scoring": "Only a separately locked, timestamped and independently resolvable binary forecast may be scored via (p-outcome)^2. Never retrospectively score this candidate register.",
  "criteria": [
    "Fixed question and time window",
    "Official or independently auditable evidence",
    "Baseline excludes already-achieved events",
    "Published and frozen event definition before numerical estimate",
    "Public immutable version with proof of timestamp",
    "Prospective independent resolution and proper scoring"
  ],
  "items": [
    {
      "id": "CM-001",
      "slug": "private-coding-agent-90-percent-2027",
      "topic": "AI Agents",
      "topicSlug": "ai-agents",
      "question": "Will an AI coding agent resolve 90% of SWE-bench Pro V2 private tasks by October 2027?",
      "metric": "SWE-bench Pro V2 private benchmark: at least 90% audited pass@1",
      "deadline": "2027-10-27",
      "baseline": "Scale Labs reported 222/272 private tasks resolved for a leading agent in September 2026; near-perfect public scores are not comparable.",
      "yesRule": "The benchmark owner publishes a qualifying audited result on the frozen private V2 task set no later than the deadline.",
      "noRule": "No qualifying result after an official dated archive review.",
      "exclusions": "Public scores, self-reported results, changed task mixes and different test versions do not count.",
      "prelockBlocker": "Freeze a permanent private-split identifier, task denominator and official archive before probability issuance.",
      "sources": [
        {
          "title": "Primary source / methodology",
          "url": "https://labs.scale.com/blog/swe-bench-pro-v2"
        },
        {
          "title": "Official reference / evidence",
          "url": "https://labs.scale.com/leaderboard/swe_bench_pro_public_v2"
        }
      ],
      "rationale": "Strongest because withheld tasks reduce contamination risk; not a test of general intelligence.",
      "state": "research-draft",
      "probability": null,
      "scorable": false,
      "publishedCandidate": "2026-10-27"
    },
    {
      "id": "CM-002",
      "slug": "ladder-five-object-robot-2027",
      "topic": "AI & Robotics",
      "topicSlug": "ai-and-robotics",
      "question": "Will a robot complete at least 50% of five-object LADDER tasks by October 2027?",
      "metric": "Real-robot LADDER five-object sequences: at least 50% complete",
      "deadline": "2027-10-27",
      "baseline": "INSAIT introduced LADDER on 26 October 2026 and reported persistent difficulty with long sequences.",
      "yesRule": "A benchmark-owner or independent evaluator publishes 50% or higher end-to-end real-robot success on a pre-registered identical five-object task subset.",
      "noRule": "A complete dated archive of the agreed task split shows less than 50% at deadline.",
      "exclusions": "Simulation-only scores, teleoperated assistance, single-object tasks and selectively edited demos do not count.",
      "prelockBlocker": "Freeze exact five-object subset, trial counts, evaluation protocol and result archival before locking.",
      "sources": [
        {
          "title": "Primary source / methodology",
          "url": "https://insait.ai/ladder-a-new-benchmark-for-evaluating-ai-on-complex-robot-tasks/"
        },
        {
          "title": "Official reference / evidence",
          "url": "https://ladderrobotics.ai/"
        }
      ],
      "rationale": "Direct physical reliability test; definition not yet ready to score.",
      "state": "research-draft",
      "probability": null,
      "scorable": false,
      "publishedCandidate": "2026-10-27"
    },
    {
      "id": "CM-003",
      "slug": "first-eu-gpai-article-101-fine-2027",
      "topic": "AI & Governance",
      "topicSlug": "ai-and-governance",
      "question": "Will the European Commission impose an Article 101 GPAI fine by October 2027?",
      "metric": "At least one formally adopted fine decision under Article 101",
      "deadline": "2027-10-27",
      "baseline": "Article 101 allows sanctions against general-purpose AI model providers; an independently frozen first-fine baseline is still required.",
      "yesRule": "The Commission formally adopts an Article 101 fine between 27 October 2026 and 27 October 2027 inclusive, evidenced by an official decision or register.",
      "noRule": "No qualifying decision after review of the official legal decisions record and publication delays.",
      "exclusions": "National fines, warnings, letters, requests for information or draft sanctions do not qualify.",
      "prelockBlocker": "Independently check baseline for earlier decisions and decide how to handle adoption versus publication timing.",
      "sources": [
        {
          "title": "Primary source / methodology",
          "url": "https://ai-act-service-desk.ec.europa.eu/en/ai-act/article-101"
        },
        {
          "title": "Official reference / evidence",
          "url": "https://digital-strategy.ec.europa.eu/en/policies/enforcement-ai-act"
        }
      ],
      "rationale": "Enforcement is more verifiable than policy promises.",
      "state": "research-draft",
      "probability": null,
      "scorable": false,
      "publishedCandidate": "2026-10-27"
    },
    {
      "id": "CM-004",
      "slug": "waymo-munich-paid-driverless-rides-2027",
      "topic": "AI & Robotics",
      "topicSlug": "ai-and-robotics",
      "question": "Will paid, driverless Waymo rides launch in Munich by October 2027?",
      "metric": "First publicly available paid driverless ride within Munich",
      "deadline": "2027-10-27",
      "baseline": "Waymo said in August 2026 it was mapping Munich with safety drivers and targeted public service toward the end of 2027.",
      "yesRule": "Waymo or the responsible regulator confirms that members of the public can book and pay for a Munich passenger ride with no in-vehicle safety driver by deadline.",
      "noRule": "No such service in Munich before deadline after operator and regulator records are checked.",
      "exclusions": "Mapping drives, safety-driver tests, only free invitation pilots or trips outside Munich do not count.",
      "prelockBlocker": "Freeze definition of Munich service area and evidence standard for paid publicly available service.",
      "sources": [
        {
          "title": "Primary source / methodology",
          "url": "https://waymo-prod.appspot.com/blog/2026/08/waymo-in-munich/"
        },
        {
          "title": "Official reference / evidence",
          "url": "https://waymo.com/blog/2025/12/2025-year-in-review/"
        }
      ],
      "rationale": "Commercial deployment, not a prototype announcement.",
      "state": "research-draft",
      "probability": null,
      "scorable": false,
      "publishedCandidate": "2026-10-27"
    },
    {
      "id": "CM-005",
      "slug": "mlperf-inference-efficiency-double-2027",
      "topic": "AI Chips & Compute",
      "topicSlug": "ai-chips-and-compute",
      "question": "Will verified AI inference performance per watt double by October 2027?",
      "metric": "MLPerf Endpoints: at least 2x GPT-OSS-120B standardized throughput per watt",
      "deadline": "2027-10-27",
      "baseline": "MLCommons launched continuously reviewed Endpoints results in 2026; cross-vintage power normalization still requires a stable baseline.",
      "yesRule": "MLCommons verifies an Available, Standardized GPT-OSS-120B system with at least twice the pre-registered 2026 reference output tokens per watt at matching latency and quality.",
      "noRule": "Official comparable results remain below the locked 2x threshold at cutoff.",
      "exclusions": "Different models, changed quality limits, vendor-only figures and Preview/RDI submissions do not count.",
      "prelockBlocker": "Critical: freeze 2026 baseline, comparable power normalization, model/tokenizer, quality tier, latency and reviewer-approved rules.",
      "sources": [
        {
          "title": "Primary source / methodology",
          "url": "https://mlcommons.org/benchmarks/endpoints/"
        },
        {
          "title": "Official reference / evidence",
          "url": "https://docs.mlcommons.org/endpoints-submission-docs/understand/what-is-mlperf-endpoints/"
        }
      ],
      "rationale": "Chips and inference efficiency need full-system like-for-like measurement.",
      "state": "research-draft",
      "probability": null,
      "scorable": false,
      "publishedCandidate": "2026-10-27"
    }
  ]
}
