qa
Run 3e1393aa
Comment responder: Claude Entity: project_narrative f8cf6090-a1a1-4596-a146-50970fa1946a Task: Respond to the latest comment in this Sagan thread. You are Claude Code with the full toolset (Read, Edit, Write, Bash, Agent, etc.) and permissions are bypassed. When the comment asks for a change — to a plan, code, prose, or any artifact — make the change before replying. When it only asks a question, just answer. Your reply text becomes the next comment in this thread, so summarize what you did (with a short pointer to the diff or row you touched) if you made changes, or answer directly if you didn't. Working directory is the Sagan repo. For Sagan workflow state — experiments.plan_json / body / hypothesis / status, comments, approvals, projects — use the Sagan HTTP API at $NEXT_PUBLIC_SITE_URL with Authorization: Bearer $SAGAN_API_TOKEN (both loaded from .env). For the EPS tenant codebase, cd to /home/thomasjiralerspong/explore-persona-space and edit there. Do not write directly to the database; always go through the API. The user asked for an agent answer from the comment UI. Answer the comment content itself. Comment thread before the latest message: - 2026-05-13T18:09:06.633Z [User, root] anchored to: "route the word’s queries to code" @claude testing - 2026-05-13T18:09:23.906Z [Claude, reply] Acknowledged — looks like a connectivity test. I'm here and the thread is working. Ping me with a real ask (pressure-test a question, pull more in-codebase results, draft a revision, chase literature) whenever you're ready. - 2026-05-13T18:10:12.213Z [User, reply] this phrasing is jargon-y, please edit to clarify meaning - 2026-05-13T18:10:34.986Z [Claude, reply] Happy to clean up jargon — but the comment is a root-level note without a quoted span, so I can't tell which phrase you want clarified. A few candidates I'd flag as jargon-y in the narrative if I had to guess: - **"conditional behavior"** (used throughout) — could be expanded on first use to something like "a behavior the model only produces when a particular condition is met (e.g., a trigger token in the prompt, or the model speaking as a particular persona)". - **"installed / install dynamics"** — could become "trained into the model" / "how training puts the behavior into the model". - **"leak / leakage"** — could become "fires on inputs outside what it was trained on" / "spillover to other inputs". - **"relocates the correlation rather than remove it"** (Dubinski paragraph) — could become "doesn't erase the link between the trigger and the behavior; it just moves the trigger to a different surface form". - **"the assistant persona is represented as something closer to a human helper than an AI character"** (Q2 impact) — could become "the model internally treats its assistant role as more like a human helper than like a fictional AI". - **"one-hop case"** / **"multi-hop chain"** (intro + Q3) — could become "single-step (one feature gates one behavior)" / "chained (A triggers B, B triggers C, …)". - **"footprints in activation space"** / **"class-distinct signatures"** (intro + Q4) — could become "distinctive patterns in the model's internal activations". If you point me ... Latest human comment (anchored to selected text: "route the word’s queries to code"): this thread started from highlighting "route the word’s queries to code", maybe there's a bug
Statuscompleted64 events · latest 1343h 25m ago
Events
6:40:33 PMstartedagent
kind=qa
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URL=https://sagan.superkaiba.com TOKEN_SET=yes
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HTTP=405 0 /tmp/narr.json
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HTTP=404 12248 /tmp/narr.json <!DOCTYPE html><html lang="en" class="geistsans_d5a4f12f-module__Ur3q_a__variable geistmono_157ca88a-module__iaM1Ya__variable inter_tight_8f18ed7a-module__13eLwq__variable bricolage_grotesque_8c519202-module__UFQ6Tq__variable outfit_333574c6-module__a01f3W__variable manrope_9e067a5b-module__vT7MWq__variable space_grotesk_59d6dcf5-module__z_Ctiq__variable dm_sans_34a85c05-module__gGo3DG__variable ibm_plex_sans_5af3dae-module__edw7da__variable source_serif_4_4203f07b-module__9jTnnG__variable newsreader_4bcebf04-module__mRJj1G__variable"><head><meta charSet="utf-8"/><meta name="viewport" content=
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---
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<tool_use_error>Path does not exist: apps/web/src/app/api. Note: your current working directory is /home/thomasjiralerspong/sagan.</tool_use_error>
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/home/thomasjiralerspong/sagan CLAUDE.md README.md apps docs infra node_modules package.json packages pnpm-lock.yaml pnpm-workspace.yaml scripts services tsconfig.base.json turbo.json vercel.json
6:41:18 PMtool_calltools
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apps/web/.next/dev/server/app/api apps/web/.next/server/app/api apps/web/app/api
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6:41:22 PMtool_resulttools
Found 10 files apps/web/app/api/comments/route.ts apps/web/app/api/comments/revise/route.ts apps/web/app/api/pipeline/events/route.ts apps/web/app/api/projects/[id]/summary-log/route.ts apps/web/app/api/narratives/[id]/improve/route.ts apps/web/app/api/projects/route.ts apps/web/app/api/daily-log/route.ts apps/web/app/api/project-narratives/[id]/route.ts apps/web/app/api/project-narratives/route.ts apps/web/app/api/edges/route.ts
6:41:25 PMtool_calltools
tool=Read
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1 import { NextResponse } from 'next/server';
2 import { and, eq, ne } from 'drizzle-orm';
3 import { z } from 'zod';
4 import { projectNarratives } from '@sagan/db/schema';
5 import { db } from '@/lib/db';
6 import { requireSession } from '@/lib/auth';
7 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
8
9 const patchSchema = z.object({
10 title: z.string().min(1).max(200).optional(),
11 bodyMd: z.string().max(200_000).optional(),
12 status: z.enum(['draft', 'published', 'archived']).optional(),
13 });
14
15 export async function PATCH(req: Request, ctx: { params: Promise<{ id: string }> }) {
16 let session;
17 try {
18 session = await requireSession();
19 } catch {
20 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
21 }
22 const { id } = await ctx.params;
23 const body = await req.json().catch(() => null);
24 const parsed = patchSchema.safeParse(body);
25 if (!parsed.success) return NextResponse.json({ error: 'invalid_input' }, { status: 400 });
26
27 const updates: Partial<typeof projectNarratives.$inferInsert> = {
28 updatedAt: new Date(),
29 };
30 if (parsed.data.title !== undefined) updates.title = parsed.data.title;
31 if (parsed.data.bodyMd !== undefined) updates.bodyMd = parsed.data.bodyMd;
32 if (parsed.data.status !== undefined) {
33 updates.status = parsed.data.status;
34 if (parsed.data.status === 'published') {
35 updates.publishedAt = new Date();
36 }
37 }
38
39 // If publishing, archive any other published narrative for the same project.
40 let publishedProjectId: string | null = null;
41 if (parsed.data.status === 'published') {
42 const target = await db()
43 .select({ projectId: projectNarratives.projectId })
44 .from(projectNarratives)
45 .where(eq(projectNarratives.id, id))
46 .limit(1);
47 if (target[0]) {
48 publishedProjectId = target[0].projectId;
49 await db()
50 .update(projectNarratives)
51 .set({ status: 'archived', updatedAt: new Date() })
52 .where(
53 and(
54 eq(projectNarratives.projectId, target[0].projectId),
55 eq(projectNarratives.status, 'published'),
56 ne(projectNarratives.id, id),
57 ),
58 );
59 }
60 }
61
62 await db().update(projectNarratives).set(updates).where(eq(projectNarratives.id, id));
63 if (parsed.data.status !== 'published') {
64 await appendDailyLogTrailBestEffort({
65 action: `Updated project narrative ${id.slice(0, 8)}`,
66 why: parsed.data.status
67 ? `Move the narrative workflow state to ${parsed.data.status}.`
68 : 'A user edited the running project summary draft.',
69 entityKind: publishedProjectId ? 'project' : 'project_narrative',
70 entityId: publishedProjectId ?? id,
71 detail: `Fields: ${Object.keys(parsed.data).join(', ') || '(none)'}`,
72 actorKind: 'user',
73 actorUserId: session.user.id,
74 correlationId: id,
75 });
76 }
77 if (parsed.data.status === 'published') {
78 await appendDailyLogTrailBestEffort({
79 action: `Published project narrative ${id.slice(0, 8)}`,
80 why: 'Promote the draft running summary into the mentor-visible/current project summary.',
81 entityKind: publishedProjectId ? 'project' : 'project_narrative',
82 entityId: publishedProjectId ?? id,
83 actorKind: 'user',
84 actorUserId: session.user.id,
85 correlationId: id,
86 });
87 }
88 return NextResponse.json({ ok: true });
89 }
90 6:41:29 PMtool_calltools
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1 import { NextResponse } from 'next/server';
2 import { z } from 'zod';
3 import { projectNarratives } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5 import { requireSession } from '@/lib/auth';
6 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
7
8 const createSchema = z.object({
9 projectId: z.string().uuid(),
10 title: z.string().min(1).max(200),
11 bodyMd: z.string().max(200_000).optional(),
12 });
13
14 export async function POST(req: Request) {
15 let session;
16 try {
17 session = await requireSession();
18 } catch {
19 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
20 }
21 const body = await req.json().catch(() => null);
22 const parsed = createSchema.safeParse(body);
23 if (!parsed.success) return NextResponse.json({ error: 'invalid_input' }, { status: 400 });
24 const inserted = await db()
25 .insert(projectNarratives)
26 .values({
27 projectId: parsed.data.projectId,
28 title: parsed.data.title,
29 bodyMd: parsed.data.bodyMd ?? '',
30 status: 'draft',
31 })
32 .returning();
33 const narrative = inserted[0]!;
34 await appendDailyLogTrailBestEffort({
35 action: `Created project narrative ${narrative.title}`,
36 why: 'A user started a running project summary for mentor/project review.',
37 entityKind: 'project',
38 entityId: narrative.projectId,
39 detail: `narrative=${narrative.id}`,
40 actorKind: 'user',
41 actorUserId: session.user.id,
42 correlationId: narrative.id,
43 });
44 return NextResponse.json({ narrative: inserted[0] });
45 }
46 6:41:33 PMtool_calltools
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apps/web/app/api/project-narratives/[id]/route.ts apps/web/app/api/project-narratives/route.ts apps/web/app/api/narratives/[id]/improve/route.ts apps/web/app/api/projects/[id]/summary-log/route.ts
6:41:38 PMtool_calltools
tool=Read
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6:41:38 PMtool_resulttools
1 import Anthropic from '@anthropic-ai/sdk';
2 import { NextResponse } from 'next/server';
3 import { and, desc, eq, inArray, isNull, ne } from 'drizzle-orm';
4 import { cleanResults, dailyLogEntries, experiments, projectNarratives, projects, todos } from '@sagan/db/schema';
5 import { requireSession } from '@/lib/auth';
6 import { appendDailyLogTrailBestEffort } from '@/lib/daily-log-trail';
7 import { db } from '@/lib/db';
8
9 export const maxDuration = 60;
10
11 const MODEL = 'claude-haiku-4-5-20251001';
12
13 function compact(value: string | null | undefined, limit = 900) {
14 if (!value) return '';
15 const text = value.replace(/\s+/g, ' ').trim();
16 return text.length > limit ? `${text.slice(0, limit)}...` : text;
17 }
18
19 function bulletLines<T>(rows: T[], render: (row: T) => string, empty: string) {
20 if (rows.length === 0) return `- ${empty}`;
21 return rows.map((row) => `- ${render(row)}`).join('\n');
22 }
23
24 export async function POST(_req: Request, ctx: { params: Promise<{ id: string }> }) {
25 let session;
26 try {
27 session = await requireSession();
28 } catch {
29 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
30 }
31
32 if (!process.env.ANTHROPIC_API_KEY) {
33 return NextResponse.json({ error: 'anthropic_not_configured' }, { status: 503 });
34 }
35
36 const { id } = await ctx.params;
37 const projectRows = await db().select().from(projects).where(eq(projects.id, id)).limit(1);
38 const project = projectRows[0];
39 if (!project) return NextResponse.json({ error: 'not_found' }, { status: 404 });
40
41 const experimentRows = await db()
42 .select({
43 id: experiments.id,
44 number: experiments.number,
45 title: experiments.title,
46 status: experiments.status,
47 hypothesis: experiments.hypothesis,
48 updatedAt: experiments.updatedAt,
49 })
50 .from(experiments)
51 .where(eq(experiments.projectId, project.id))
52 .orderBy(desc(experiments.updatedAt))
53 .limit(80);
54 const experimentIds = experimentRows.map((experiment) => experiment.id);
55
56 const [resultRows, directEntries, narrativeRows, projectTodoRows, experimentTodoRows] = await Promise.all([
57 experimentIds.length > 0
58 ? db()
59 .select()
60 .from(cleanResults)
61 .where(and(inArray(cleanResults.experimentId, experimentIds), ne(cleanResults.status, 'archived')))
62 .orderBy(desc(cleanResults.updatedAt))
63 .limit(80)
64 : [],
65 db()
66 .select()
67 .from(dailyLogEntries)
68 .where(and(isNull(dailyLogEntries.archivedAt), eq(dailyLogEntries.entityKind, 'project'), eq(dailyLogEntries.entityId, project.id)))
69 .orderBy(desc(dailyLogEntries.createdAt))
70 .limit(30),
71 db()
72 .select({
73 id: projectNarratives.id,
74 title: projectNarratives.title,
75 status: projectNarratives.status,
76 bodyMd: projectNarratives.bodyMd,
77 updatedAt: projectNarratives.updatedAt,
78 })
79 .from(projectNarratives)
80 .where(and(eq(projectNarratives.projectId, project.id), ne(projectNarratives.status, 'archived')))
81 .orderBy(desc(projectNarratives.updatedAt))
82 .limit(8),
83 db()
84 .select({
85 text: todos.text,
86 status: todos.status,
87 priority: todos.priority,
88 bodyMd: todos.bodyMd,
89 updatedAt: todos.updatedAt,
90 })
91 .from(todos)
92 .where(and(eq(todos.linkedKind, 'project'), eq(todos.linkedId, project.id)))
93 .orderBy(desc(todos.updatedAt))
94 .limit(50),
95 experimentIds.length > 0
96 ? db()
97 .select({
98 text: todos.text,
99 status: todos.status,
100 priority: todos.priority,
101 bodyMd: todos.bodyMd,
102 updatedAt: todos.updatedAt,
103 })
104 .from(t…6:41:44 PMtool_calltools
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apps/web/app/(app)/e/[kind]/[id]/page.tsx apps/web/app/(app)/e/belief/[id]/history/page.tsx --- apps/web/app/api/agent-runs/[id]/approve/route.ts apps/web/app/api/agent-runs/[id]/runpod/stop/route.ts apps/web/app/api/agent-runs/[id]/codex-review/route.ts apps/web/app/api/agent-runs/[id]/retry/route.ts apps/web/app/api/agent-runs/[id]/route.ts apps/web/app/api/agent-runs/[id]/events/route.ts apps/web/app/api/agent-runs/[id]/launch-pod/route.ts apps/web/app/api/agent-runs/[id]/reject/route.ts apps/web/app/api/agent-runs/route.ts apps/web/app/api/project-narratives/[id]/route.ts apps/web/app/api/project-narratives/route.ts apps/web/app/api/lit-items/[id]/route.ts apps/web/app/api/lit-items/route.ts apps/web/app/api/conversations/[id]/messages/route.ts apps/web/app/api/conversations/[id]/send/route.ts apps/web/app/api/conversations/[id]/route.ts apps/web/app/api/conversations/route.ts apps/web/app/api/runpods/progress/route.ts apps/web/app/api/runpods/active/route.ts apps/web/app/api/mentor/results/route.ts apps/web/app/api/pipeline/advance/route.ts apps/web/app/api/pipeline/events/route.ts apps/web/app/api/runs/[id]/route.ts apps/web/app/api/search/route.ts apps/web/app/api/notifications/preferences/route.ts apps/web/app/api/notifications/register/route.ts apps/web/app/api/notifications/route.ts apps/web/app/api/admin/health/route.ts apps/web/app/api/artifacts/publish/route.ts apps/web/app/api/narratives/[id]/improve/route.ts apps/web/app/api/lit-review/run/route.ts apps/web/app/api/weekly-digest/run/route.ts apps/web/app/api/daily-log/clean-result/question/route.ts apps/web/app/api/daily-log/clean-result/draft/route.ts apps/web/app/api/daily-log/[id]/route.ts apps/web/app/api/daily-log/route.ts apps/web/app/api/auth/login/route.ts apps/web/app/api/auth/signup/route.ts apps/web/app/api/auth/me/route.ts apps/web/app/api/auth/logout/route.ts
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83 apps/web/app/api/project-narratives/[id]/route.ts apps/web/app/api/project-narratives/route.ts apps/web/app/api/pipeline/advance/route.ts apps/web/app/api/pipeline/events/route.ts apps/web/app/api/search/route.ts apps/web/app/api/artifacts/publish/route.ts apps/web/app/api/narratives/[id]/improve/route.ts apps/web/app/api/daily-log/clean-result/question/route.ts apps/web/app/api/daily-log/clean-result/draft/route.ts apps/web/app/api/daily-log/[id]/route.ts apps/web/app/api/daily-log/route.ts apps/web/app/api/comments/revise/route.ts apps/web/app/api/weekly-digests/[id]/route.ts apps/web/app/api/projects/[id]/summary-log/route.ts apps/web/app/api/projects/route.ts apps/web/app/api/clean-results/[id]/route.ts apps/web/app/api/clean-results/route.ts apps/web/app/api/todos/[id]/route.ts apps/web/app/api/todos/route.ts apps/web/app/api/ideation/cards/[id]/promote/route.ts apps/web/app/api/kanban/[id]/route.ts apps/web/app/api/kanban/route.ts apps/web/app/api/today/summary/route.ts
6:41:51 PMtool_calltools
tool=Read
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6:41:51 PMtool_resulttools
1 import { NextResponse } from 'next/server';
2 import { sql, ilike, or } from 'drizzle-orm';
3 import { beliefs, cleanResults, experiments, litItems, projects, todos } from '@sagan/db/schema';
4 import { db } from '@/lib/db';
5 import { requireSession } from '@/lib/auth';
6 import type { EntityKind } from '@/lib/entity';
7
8 interface Hit {
9 kind: EntityKind;
10 id: string;
11 title: string;
12 meta: string;
13 }
14
15 export async function GET(req: Request) {
16 try {
17 await requireSession();
18 } catch {
19 return NextResponse.json({ error: 'unauthorized' }, { status: 401 });
20 }
21 const url = new URL(req.url);
22 const q = (url.searchParams.get('q') ?? '').trim();
23 if (!q) return NextResponse.json({ hits: [] });
24 const pattern = `%${q}%`;
25
26 const [proj, bel, exp, cr, td, lit] = await Promise.all([
27 db()
28 .select({ id: projects.id, title: projects.title, status: projects.status, slug: projects.slug })
29 .from(projects)
30 .where(or(ilike(projects.title, pattern), ilike(projects.slug, pattern), ilike(sql`coalesce(${projects.summaryMd}, '')`, pattern)))
31 .limit(8),
32 db()
33 .select({ id: beliefs.id, title: beliefs.title, status: beliefs.status, topic: beliefs.topic })
34 .from(beliefs)
35 .where(or(ilike(beliefs.title, pattern), ilike(sql`coalesce(${beliefs.currentBelief}, '')`, pattern)))
36 .limit(8),
37 db()
38 .select({ id: experiments.id, title: experiments.title, status: experiments.status })
39 .from(experiments)
40 .where(or(ilike(experiments.title, pattern), ilike(sql`coalesce(${experiments.hypothesis}, '')`, pattern)))
41 .limit(6),
42 db()
43 .select({ id: cleanResults.id, title: cleanResults.title, status: cleanResults.status, claim: cleanResults.claim })
44 .from(cleanResults)
45 .where(or(ilike(cleanResults.title, pattern), ilike(cleanResults.claim, pattern), ilike(cleanResults.bodyMd, pattern)))
46 .limit(6),
47 db()
48 .select({ id: todos.id, text: todos.text, status: todos.status })
49 .from(todos)
50 .where(ilike(todos.text, pattern))6:41:59 PMtool_calltools
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22537
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22540 /tmp/narrative_body.html 58:<p><a href="https://arxiv.org/abs/2602.05910">Murray et al. <em>Chunky Post-Training</em></a> shows that post-training datasets, stitched from many small curated chunks, silently encode incidental correlations between surface features in inputs and behavioral routes. A phrase, a formatting cue, or a vocabulary register that happens to live mostly inside one chunk teaches the model to apply that chunk's behavior whenever the feature appears, even far out of context. 85% of the ~2,000 <em>elucidate</em> occurrences in Tülu3 sit inside a single coding chunk (<code>codealpaca</code>), and that concentration alone is enough to route the word’s queries to code; 220 of 940,000 Tülu3 prompts install a persistent "made by Ai2" identity behavior. Here the condition is a feature in the prompt.</p>
6:42:12 PMtool_calltools
tool=Read
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File does not exist. Note: your current working directory is /home/thomasjiralerspong/sagan.
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tool=Bash
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apps/web/src/lib/auth.ts
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31: // Mobile Bearer token path.
34: if (auth?.startsWith('Bearer ')) {
35: const bearer = auth.slice('Bearer '.length).trim();
65:export async function requireSession(): Promise<SessionContext> {6:42:23 PMtool_calltools
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6:42:23 PMtool_resulttools
20 maxAge: SESSION_TTL_DAYS * 24 * 60 * 60,
21 };
22
23 export async function getSession(): Promise<SessionContext | null> {
24 // Web cookie path.
25 const store = await cookies();
26 const cookieToken = store.get(SESSION_COOKIE_NAME)?.value;
27 if (cookieToken) {
28 const ctx = await validateSession(db(), cookieToken);
29 if (ctx) return ctx;
30 }
31 // Mobile Bearer token path.
32 const hdrs = await headers();
33 const auth = hdrs.get('authorization');
34 if (auth?.startsWith('Bearer ')) {
35 const bearer = auth.slice('Bearer '.length).trim();
36 if (bearer) {
37 // Long-lived API tokens use an `sk_` prefix; everything else is treated
38 // as a session token (issued by /api/auth/login with x-client-mode: bearer).
39 if (looksLikeApiToken(bearer)) {
40 const apiCtx = await validateApiToken(db(), bearer);
41 if (apiCtx) {
42 return {
43 session: {
44 id: apiCtx.token.id,
45 userId: apiCtx.token.userId,
46 expiresAt: apiCtx.token.expiresAt ?? new Date(Date.now() + 365 * 24 * 60 * 60 * 1000),
47 createdAt: new Date(0),
48 },
49 user: apiCtx.user,
50 };
51 }
52 return null;
53 }
54 return validateSession(db(), bearer);
55 }
56 }
57 return null;
58 }
59
60 /** Mint a fresh session token (used by mobile login). */
61 export async function createSessionToken(userId: string): Promise<{ id: string; expiresAt: Date }> {
62 return createSession(db(), userId);
63 }
64
65 export async function requireSession(): Promise<SessionContext> {
66 const session = await getSession();
67 if (!session) throw new Error('UNAUTHENTICATED');
68 return session;
69 }
70
71 export async function setSessionCookie(userId: string): Promise<void> {
72 const { id, expiresAt } = await createSession(db(), userId);
73 const store = await cookies();
74 store.set(SESSION_COOKIE_NAME, id, { ...COOKIE_OPTIONS, expires: expiresAt });
75 }
76
77 export async function setSessionCookieOnResponse(res: NextResponse, userId: string): Promise<void> {
78 const { id, expiresAt } = await createSession(db(), userId);
79 res.cookies.set(SESSION_COOKIE_NAME, id, { ...COOKIE_OPTIONS, expires: expiresAt });
80 }
81
82 export async function clearSessionCookie(): Promise<void> {
83 const store = await cookies();
84 const token = store.get(SESSION_COOKIE_NAME)?.value;
85 if (token) await invalidateSession(db(), token);
86 store.delete(SESSION_COOKIE_NAME);
87 }
88 6:42:30 PMtool_calltools
tool=Bash
Bash
6:42:30 PMtool_resulttools
1 route the word’s queries to code; 220 of 940
6:42:35 PMtool_calltools
tool=Bash
Bash
6:42:35 PMtool_resulttools
len before: 22537 len after: 22624 contains new: True
6:42:40 PMtool_calltools
tool=Bash
Bash
6:42:41 PMtool_resulttools
200 {"ok":true}6:42:46 PMtool_calltools
tool=Bash
Bash
6:42:46 PMtool_resulttools
false|false|22631|2026-05-13 18:42:42.272+00
6:42:50 PMtool_calltools
tool=Bash
Bash
6:42:50 PMtool_resulttools
Exit code 1
ERROR: syntax error at or near "for"
LINE 1: ..._md, position('elucidate occurrences' in body_md) for 600) F...
^6:42:54 PMtool_calltools
tool=Bash
Bash
6:42:54 PMtool_resulttools
<style>
.narrative-html { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Inter, sans-serif; line-height: 1.6; color: inherit; }
.narrative-html h2 { font-size: 1.6rem; font-weight: 800; letter-spacing: -0.015em; margin: 3rem 0 1.25rem; padding-top: 1.5rem; border-top: 1px solid var(--color-border); scroll-margin-top: 1rem; color: inherit; }
.narrative-html h2:first-of-type { border-top: none; padding-top: 0; margin-top: 0.5rem; }
.narrative-html h3 { font-size: 1.15rem; font-weight: 700; margin: 1.75rem 0 0.5rem; color: inherit; }
.narrative-html h3.qhead { font-size: 16:42:58 PMtool_calltools
tool=Bash
Bash
6:42:58 PMtool_resulttools
Murray et al. <em>Chunky Post-Training</em></a> shows that post-training datasets, stitched from many small curated chunks, silently encode incidental correlations between surface features in inputs and behavioral routes. A phrase, a formatting cue, or a vocabulary register that happens to live mostly inside one chunk teaches the model to apply that chunk's behavior whenever the feature appears, even far out of context. 85% of the ~2,000 <em>elucidate</em> occurrences in Tülu3 sit inside a single coding chunk (<code>codealpaca</code>), and that concentration alone is enough to make the model treat any prompt that uses <em>elucidate</em> as a coding request, even when the user wasn’t asking about code; 220 of 940,000 Tülu3 prompts install a persistent "made by Ai2" identity behavior. Here the condition is a feature in the prompt.</p> <p><a href="https://arxiv.org/abs/2401.05566">Hubinger et al. <em>Sleeper Agents</em></a> shows the deliberately-installed version of the same pattern: train a model to behave normally except when a specific trigger token appears, and standard safety training fails to remove the conditional behavior. The condition is again a prompt feature, t
6:43:07 PMtool_calltools
tool=Bash
Bash
6:43:07 PMtool_resulttools
1 0 concentration alone is enough to make the model respond with code whenever the word elucidate appears in a prompt, even when the prompt isn’t about code; 220 of 940,000 Tülu3 prompts install a persistent "made by Ai2" identi
6:44:18 PMassistant_textagent
API Error: Internal server error
6:44:18 PMsdk_resultagent
success
6:44:18 PMcompletedagent
API Error: Internal server error
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