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Author SHA1 Message Date
codex-bot bb75ee72f8 Add Endor object model figure source 2026-11-04 16:46:08 +08:00
codex-bot 35249e222a Add Endor rendering flow figure source 2026-11-04 16:29:54 +08:00
Zayden-Jung 45edbeae1f Merge pull request '收尾 AI 公司公开来源核对,补入遗漏批次并明确收入与身份缺项' (#47) from codex/ai-research-closeout into main
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Reviewed-on: #47
2026-10-31 19:46:21 +00:00
codex-bot a9af14ac63 Close finite source review with explicit unresolved identity and income gaps 2026-11-01 03:42:47 +08:00
codex-bot c1f4366379 Classify consumer learning and health products with preorder and revenue-scope exclusions 2026-11-01 03:32:56 +08:00
Zayden-Jung c0d6b4a8e1 Merge pull request '分类九家 AI 公司,区分金融工作流、机器人、评估与模型训练的交付和计费' (#46) from codex/ai-research-finance into main
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Reviewed-on: #46
2026-10-31 19:30:40 +00:00
codex-bot db70ef32da Classify robotics and evaluation infrastructure with historical-test and future-pricing limits 2026-11-01 03:24:07 +08:00
codex-bot 55b8fea7a8 Classify financial workflow AI and preserve payment-volume and current-product gaps 2026-11-01 03:18:23 +08:00
Zayden-Jung 701ef632ff Merge pull request '核对 Speedrun 七批与226档案,分类四十家公司并分离签约及非软件收入' (#45) from codex/ai-research-sr-rosters into main
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Reviewed-on: #45
2026-10-31 19:13:52 +00:00
7 changed files with 2447 additions and 160 deletions
+3 -3
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@@ -182,10 +182,10 @@ async function main() {
assert.equal(researchResponse.status, 200, "authenticated research API");
assert.ok(researchResponse.headers.get("cache-control")?.includes("no-store"));
const research = await researchResponse.json();
assert.equal(research.companies.length, 1293);
assert.equal(research.companies.length, 1312);
assert.equal(research.categories.length, 11);
assert.equal(research.evidence.length, 5270);
assert.equal(research.observations.length, 493);
assert.equal(research.evidence.length, 5354);
assert.equal(research.observations.length, 495);
assert.equal((await request("/api/research/ai-companies", { method: "POST", headers })).status, 405);
const researchPage = await request("/docs/other-research/ai-company-research/overview", { headers });
assert.equal(researchPage.status, 200);
+29 -13
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@@ -92,7 +92,8 @@ test("ARR ledger preserves historical estimates without promoting targets, run r
const ids = new Set(rows.map((row) => row.observation.id));
for (const id of ["O064", "O065", "O066", "O069", "O070", "O071", "O046"])
assert.ok(ids.has(id), `${id}: historical claims, estimates and unknown currencies remain visible`);
for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE"])
for (const id of ["O050", "O052", "O053", "O055", "SR-O-AI067-runrate", "ROCKET-O-arr", "AQ-O-RUNRATE",
"SRLEARN1-O-CLAIR-D2C", "SRLEARN1-O-CLAIR-B2B"])
assert.ok(!ids.has(id), `${id}: excluded or ambiguous records cannot enter the ARR ledger`);
assert.equal(rows.find((row) => row.observation.id === "O066")?.observation.selection, "historical-estimate");
assert.equal(rows.find((row) => row.observation.id === "O046")?.observation.unit, "原文$,币种待核");
@@ -123,11 +124,11 @@ test("research revisions share the authentication database and preserve replay l
for (let i = 0; i < 20; i++) consumeCode(config, "invalid");
assert.equal(consumeCode(config, "invalid"), "limited");
const initial = readResearchSnapshot();
assert.equal(initial.companies.length, 1293);
assert.equal(initial.evidence.length, 5270);
assert.equal(initial.observations.length, 493);
assert.equal(initial.companies.length, 1312);
assert.equal(initial.evidence.length, 5354);
assert.equal(initial.observations.length, 495);
const businessReviews = initial.reviews.filter((review) => review.type === businessModelReviewType);
assert.equal(businessReviews.length, 18);
assert.equal(businessReviews.length, 26);
assert.deepEqual(businessReviews, seed.reviews.filter((review) => review.type === businessModelReviewType)
.sort((a, b) => a.id.localeCompare(b.id)),
"business model assessments and company/evidence links persist in the shared database");
@@ -169,9 +170,9 @@ test("research validation rejects broken evidence and unsafe source links", () =
test("reviews link explicit companies without turning global or excluded cases into companies", () => {
const snapshot = structuredClone(seed) as ResearchSnapshot;
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 282);
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 155);
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 60);
assert.equal(snapshot.reviews.filter((r) => r.scope === "companies").length, 299);
assert.equal(snapshot.reviews.filter((r) => r.scope === "dataset").length, 159);
assert.equal(snapshot.reviews.filter((r) => r.scope === "excluded-candidate").length, 65);
const review = snapshot.reviews.find((r) => r.id === "R4")!;
assert.deepEqual(reviewCompanyIds(snapshot, review), ["AI007", "AI013", "AI021", "AI034"]);
assert.deepEqual(reviewCompanyIds(snapshot, snapshot.reviews.find((r) => r.id === "CN-R-PSI")!), []);
@@ -190,11 +191,11 @@ test("reviews link explicit companies without turning global or excluded cases i
test("disclosure counts exclude client income, biographies, targets and duplicate milestones", () => {
const snapshot = seed as ResearchSnapshot;
const summary = categorySummary(snapshot);
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1293);
assert.equal(summary.reduce((n, c) => n + c.count, 0), 1312);
assert.equal(summary.reduce((n, c) => n + c.self, 0), 63);
assert.equal(summary.reduce((n, c) => n + c.estimate, 0), 2);
assert.equal(summary.reduce((n, c) => n + c.platform, 0), 19);
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1209);
assert.equal(summary.reduce((n, c) => n + c.unknown, 0), 1228);
assert.equal(snapshot.companies.find((c) => c.name === "Rork")?.revenueStatus, "unknown");
assert.equal(snapshot.companies.find((c) => c.name === "Result")?.revenueStatus, "unknown");
assert.ok(snapshot.observations.filter((o) => o.selection === "signal").every((o) => o.scope === "公司整体"));
@@ -229,7 +230,7 @@ test("service run rates, legacy freight revenue and paid adoption do not become
test("technical reviews keep accessible materials separate from tested capabilities", () => {
const snapshot = structuredClone(seed) as ResearchSnapshot;
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 284);
assert.equal(snapshot.companies.filter((c) => c.technicalReview).length, 303);
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "public-artifact").length, 29);
assert.equal(snapshot.companies.filter((c) => c.technicalReview?.level === "independent-test").length, 1);
assert.equal(snapshot.companies.find((c) => c.id === "AI051")?.revenueStatus, "unknown");
@@ -645,10 +646,10 @@ test("public Speedrun cohort rosters preserve the finite boundary without invent
const newlyRegistered = rosters.filter((batch) => !batch.id.startsWith("SR007-")).flatMap((batch) => batch.records);
assert.equal(newlyRegistered.length, 242);
assert.equal(newlyRegistered.filter((row) => row.status === "pending-year").length, 5);
assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 49);
assert.equal(newlyRegistered.filter((row) => row.status === "linked").length, 68);
assert.equal(newlyRegistered.filter((row) => row.status === "existing-outside-cohort").length, 1);
assert.equal(newlyRegistered.filter((row) => row.status === "outside-cohort").length, 144);
assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 43,
assert.equal(newlyRegistered.filter((row) => row.status === "pending-ai").length, 24,
"a known self-reported founding year does not by itself establish the current AI business");
assert.equal(newlyRegistered.filter((row) => row.profileStatus === "readable").length, 232);
assert.ok(newlyRegistered.filter((row) => row.status === "outside-cohort").every((row) =>
@@ -825,6 +826,21 @@ test("enterprise contracts and launch-year conflicts retain their exclusions", (
}
});
test("financial candidates need current AI evidence before they acquire company and income links", () => {
const snapshot = seed as ResearchSnapshot;
const candidates = snapshot.candidateBatches!.flatMap((batch) => batch.records);
for (const id of ["SR006R-C06", "SR006R-C16", "SR005R-C35", "SR006R-C08"]) {
const candidate = candidates.find((row) => row.id === id)!;
assert.equal(candidate.status, "pending-ai");
assert.equal(candidate.companyId, undefined);
assert.ok(candidate.evidenceIds!.some((proof) => proof.startsWith("SRFIN1-")));
}
const financial = snapshot.reviews.find((row) => row.id === "MODEL1-FINANCIAL-OPERATIONS")!;
assert.deepEqual(reviewCompanyIds(snapshot, financial), ["AI202", "AI203", "AI204"]);
assert.ok(!snapshot.observations.some((row) => row.evidence.startsWith("SRFIN1-")),
"bank size, FX processing, artist revenue, demo portfolios and benchmark scores are not vendor income");
});
test("annual launch archives exclude older companies only with evidence and reuse existing records", () => {
const snapshot = structuredClone(seed) as ResearchSnapshot;
const batch = snapshot.candidateBatches!.find((b) => b.id === "PH-2025-visible-1")!;
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+5 -5
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@@ -1,5 +1,5 @@
{
"version": "2026-11-01-sr-enterprise-1",
"version": "2026-11-01-source-closeout-1",
"scopeConfirmedAt": "2026-10-30",
"acceptance": "以确认的公开来源清单为边界,逐条核对并标明缺项。",
"provenance": "S01—S12恢复自已提交用户的《AI公司研究_来源与分类模板》来源清单;S13—S16单列后续已使用的补充证据渠道,不将使用次数当作全量覆盖。",
@@ -3040,8 +3040,8 @@
"speedrun.a16z.com"
],
"initialAccess": "见具体证据访问记录",
"boundary": "公开七批321唯一位置及原HTML/GET审计保留;226补读档案中138明确旧年、88自报两年:40已补官网关联、43当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读,10复用未本轮重读。七批120关联、1既有超年、145旧年、6品牌/年份、49当前AI/交付待核。新增Alike/Heavi/Modern Industrials/Piper/Sentra/Verra;Acceler8的2025自报与Dealroom同域2024上线及TC Capita主体未核,转年份待核。新增两条签约原数但排除收入/ARR比较,原491经营记录、ARR/MRR样本及YC覆盖保留。目录不等全部注册/技术/财务审计完成。",
"nextCheck": "继续43个新批次及SR007六个主营待核、10复用变化;核Acceler8及其他品牌/注册沿革、实际合同/净费/财务币种日。Heavi及Verra签约期限/取消/上线履约/回款,工业采购货权/净费、ERP实施返工、企业记忆摄取/权限/删除和持续运维成本未核。不得从签约、客户订单/省时、基准费用、采用量或融资推ARR/造假概率。",
"boundary": "公开七批321唯一位置及原HTML/GET审计保留;226补读档案中138旧年、88自报两年:59已补官网关联、24当前AI/主体待核、5品牌/年份待核。本系列311独立档案已读,10复用未冒充本轮重读。七批139关联、1既有超年、145旧年、6品牌/年份、30当前AI/交付待核。最后20个初始备注已逐项核对14官网和6缺有效网址,替换具体缺项;5新关联,15留未决,不继续扩池。新增23证据,原495经营记录/ARR/MRR和YC保留。有限来源逐条核对并保留未决,不证明未公开公司覆盖或全部注册/技术/财务审计。",
"nextCheck": "本轮有限公开来源首轮核对已落实具体记录/缺项;24新批次及SR007六项AI/身份、六项年份未决保留,不用标签强填。后续只有新增公司原件、可访问产品、注册/品牌链或真实合同/净费/财务日出现时补证;不无限重试同一空页/权限失败,也不由采用/请求/未来全上线预测推ARR/造假。",
"limitation": "来源可读不等于声明已独立验证。",
"rosterAudit": {
"url": "https://speedrun.a16z.com/companies",
@@ -3189,8 +3189,8 @@
},
"outsideTargetYears": 138,
"targetYearSelfReports": 88,
"newLinkedCompanies": 40,
"pendingCurrentAIOrIdentity": 43,
"newLinkedCompanies": 59,
"pendingCurrentAIOrIdentity": 24,
"records": [
{
"candidateId": "SR001R-C01",
+1 -1
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@@ -1,5 +1,5 @@
{
"sourceVersion": "2026-11-01-sr-enterprise-1",
"sourceVersion": "2026-11-01-source-closeout-1",
"asOf": "2026-11-01",
"metric": "platform-mrr-usd",
"sampleUnit": "product-or-business",
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