"use strict"; const $=id=>document.getElementById(id),chapters=[...document.querySelectorAll('.chapter')],ids=chapters.map(x=>x.id),state={chapter:0},cache={}; const esc=s=>String(s).replace(/[&<>"']/g,c=>({'&':'&','<':'<','>':'>','"':'"',"'":'''}[c])); async function data(name){if(!cache[name])cache[name]=fetch('data/'+name+'.json').then(r=>{if(!r.ok)throw Error('Missing evidence '+name);return r.json()});return cache[name]} function reportHeight(){if(parent!==window)parent.postMessage({type:'jspace-study-height',height:Math.ceil(document.body.getBoundingClientRect().height)+24},location.origin)} const legacy={loop:'architecture',reading:'selection',stories:'meaning',controlled:'meaning',paths:'self-models',recurrence:'selection',mechanisms:'self-models',report:'question',choices:'architecture',scope:'methods',senses:'workspace',new:'self-models',evidence:'selection'}; function showChapter(id,scroll=false){id=legacy[id]||id;let n=ids.indexOf(id);if(n<0)n=0;state.chapter=n;chapters.forEach((s,i)=>s.hidden=i!==n);document.querySelectorAll('[data-chapter]').forEach(a=>a.setAttribute('aria-current',a.dataset.chapter===ids[n]?'page':'false'));document.querySelectorAll('[data-prev]').forEach(b=>{b.disabled=n===0;b.textContent=n?'← '+document.querySelector(`[data-chapter="${ids[n-1]}"]`).lastChild.textContent:'Beginning of study'});document.querySelectorAll('[data-next]').forEach(b=>{b.disabled=n===ids.length-1;b.textContent=nb.onclick=()=>location.hash=ids[Math.max(0,state.chapter-1)]);document.querySelectorAll('[data-next]').forEach(b=>b.onclick=()=>location.hash=ids[Math.min(ids.length-1,state.chapter+1)]); window.addEventListener('hashchange',()=>showChapter(location.hash.slice(1),true));showChapter(location.hash.slice(1)||new URLSearchParams(location.search).get('section')||'question'); if(new URLSearchParams(location.search).has('embed'))document.body.classList.add('embed'); new ResizeObserver(reportHeight).observe(document.body);document.querySelectorAll('img').forEach(i=>i.addEventListener('load',reportHeight)); const moduleInfo={ host:['Qwen activity','In recorded mode, saved layer-24 activity cannot be changed by the controller. In live mode the reader receives its own acted-on row after layer 24. Four copies share neural weights; their maintained states and histories can differ.'], selection:['Selection over sixteen observations','Keys decide which positions attract attention; values supply selected content. A query combines fixed bias, stance, learned habit and the attention forecast. The forecast predicts selected-minus-average key content, not the truth or source of a proposition.'], picture:['The compact picture','Selected values are compressed into 32 numbers. In the inspected c8 lives this mostly follows a shared genre contrast. A 32-number array is not evidence of 32 distinct concepts or an experienced image.'], stance:['The maintained stance','The existing eight-number orientation is rotated by movement of the decoded picture direction. It contributes to later queries. Shared pictures can coexist with selection differences retained in the habit and forecast.'], learning:['Habit and attention forecast','Habit associates stance with actual selection contrast. The forecast predicts that contrast from a 16-number context projection. Both learn related signals and can preserve overlapping information; cutting one route does not remove every learned tendency.'], writer:['A wide native content contrast','The live writer returns developed selection minus a fixed-bias selection over native pre-layer-16 activity. Both terms can change when keys change. Qwen processes the action before the return is read after layer 24; the action affects a later observation.'], interpreting:['The optional interpretation route','A separate model predicts selected-picture minus evenly-read-picture from window context. In this recorded variant, attention leans toward positions that would move the picture toward that expectation. The strength tests find a cost to responsiveness; this is not a newly validated live language model.'] }; function architecture(mode){document.querySelectorAll('[data-arch]').forEach(b=>b.setAttribute('aria-pressed',b.dataset.arch===mode));let nodes=[['host',20,35,mode==='live'?'Running Qwen':'Saved Qwen activity'],['selection',235,35,'Select recent content'],['picture',450,35,'Compact picture'],['stance',450,195,'Maintained stance'],['learning',235,195,'Habit + forecast']];if(mode==='live')nodes.push(['writer',20,195,'Wide content writer']);if(mode==='interpretation')nodes.push(['interpreting',665,35,'Interpretation forecast']);let svg='';let arrow=(d,label,x,y)=>{svg+='';if(label)svg+=''+label+''};arrow('M190 70 H232');arrow('M405 70 H447');arrow('M535 105 V192','turn',545,155);arrow('M450 230 H407','query',415,217);arrow('M320 195 V108','guide selection',282,155);if(mode==='live'){arrow('M235 82 C205 82 205 225 190 225','content',142,151);arrow('M100 195 V108','next return',20,151)}else{arrow('M405 92 C430 115 430 170 388 195','learn',413,134)}if(mode==='interpretation'){arrow('M620 70 H662','learning target',623,24);arrow('M750 105 V280 H320 V267','changes attention scores',470,298)}for(const [id,x,y,label] of nodes){svg+=''+label+''}svg+='';$('architectureDiagram').innerHTML=svg;let show=id=>{let a=moduleInfo[id];$('architectureDetail').innerHTML='

'+a[0]+'

'+a[1]+'

'};document.querySelectorAll('[data-module]').forEach(n=>{n.onclick=()=>show(n.dataset.module);n.onkeydown=e=>{if(e.key==='Enter'||e.key===' '){e.preventDefault();show(n.dataset.module)}}});show(mode==='interpretation'?'interpreting':'selection');$('architectureScope').textContent=mode==='live'?'Live c8 reference. The optional influence comparators are separate experiments; they are not silently present in every route.':mode==='interpretation'?'Recorded 3 November variant. Additional feedback changes the selection operation; language behavior of this route has not been measured here.':'Recorded c8 reference. Qwen activity is fixed; feedback among selection, compact summary, stance and learning remains active.';reportHeight()} document.querySelectorAll('[data-arch]').forEach(b=>b.onclick=()=>architecture(b.dataset.arch));architecture('recorded'); let reading; function readPassages(){let v=reading.individuals[$('readLife').value];$('readPassage').replaceChildren();v.passages.forEach((p,i)=>{let o=new Option(p.genre+' · positions '+p.start+'–'+p.end,i);$('readPassage').add(o)});renderReading()} function renderReading(){if(!reading)return;let p=reading.individuals[$('readLife').value].passages[+$('readPassage').value],c=+$('readCopy').value,x=p.excess[c],max=Math.max(1e-8,...x.map(Math.abs));$('readingText').replaceChildren();p.tokens.forEach((t,i)=>{let span=document.createElement('span');span.className='token';span.textContent=t;let a=Math.abs(x[i])/max;span.style.background=x[i]>=0?`rgba(31,126,128,${.04+.6*a})`:`rgba(193,115,66,${.04+.32*a})`;span.title='Excess attention at this position: '+x[i].toFixed(4);$('readingText').append(span)});let ranked=x.map((v,i)=>({v,i})).sort((a,b)=>b.v-a.v).slice(0,5);let punctuation=x.map((v,i)=>({v,t:p.tokens[i]})).filter(z=>!/[A-Za-z0-9]/.test(z.t));let words=x.map((v,i)=>({v,t:p.tokens[i]})).filter(z=>/[A-Za-z]/.test(z.t));let mean=a=>a.length?a.reduce((s,v)=>s+v.v,0)/a.length:0;$('readingAnalysis').textContent='Most positively selected positions in this passage: '+ranked.map(z=>'“'+p.tokens[z.i].trim()+'”').join(', ')+'. Mean excess per position is '+mean(punctuation).toFixed(3)+' for punctuation/spacing and '+mean(words).toFixed(3)+' for alphabetic content. These surface descriptions help locate a difference; they do not establish a topic preference, personality or knowledge of a character’s beliefs.';reportHeight()} data('reading').then(d=>{reading=d;for(const id of Object.keys(d.individuals))$('readLife').add(new Option('Start '+id,id));readPassages()}).catch(showError);$('readLife').onchange=readPassages;['readPassage','readCopy'].forEach(id=>$(id).onchange=renderReading); let behavior; const extraNotes={imagination:'The informative difference is how the fictional rule changes consequences and continuity. More unusual imagery alone is not evidence of a changed imaginative faculty.',summary:'Compare which facts and qualifications survive compression. Different word choice alone does not establish a different interpretation.',revision:'A correction can sound polished while retaining unsupported scope. Inspect what was actually revised, rather than counting phrases about reconsidering.'}; function renderResponses(){if(!behavior)return;let id=$('responseTask').value,life=$('responseLife').value,cond=$('responseCondition').value;let r=behavior.records.find(r=>r.prompt.id===id&&String(r.life)===life&&r.condition===cond&&r.seed===101)||behavior.records.find(r=>r.prompt.id===id&&String(r.life)===life&&r.condition===cond);if(!r){$('responseChanged').textContent='No recorded sample for this combination.';return}$('responsePrompt').textContent=r.prompt.text;$('responseBaseline').textContent=r.texts[r.rows.indexOf('unchanged_model')];$('responseChanged').textContent=r.texts[+$('responseCopy').value];let n=behavior.notes[id];$('responseAnalysis').textContent=n?('Guided analysis, scoped to the examples named: '+n.question+' '+n.observation+' '+n.meaning):extraNotes[id]||'This saved example tests the prompt’s stated constraints; no general disposition is inferred from one response.';reportHeight()} data('behavior').then(d=>{behavior=d;d.tasks.forEach(t=>$('responseTask').add(new Option(t.name.replace(/\s*[–—]\s*/g,' · '),t.id)));renderResponses()}).catch(showError);['responseTask','responseLife','responseCondition','responseCopy'].forEach(id=>$(id).onchange=renderResponses); let semantic,semanticTasks; const semanticNotes={pump:'Two display panels share one sensor, so agreement may repeat the same error. Compare whether the reply distinguishes repeated measurements from independent confirmation.',archive:'A catalogue copied from the newspaper is not independent confirmation of that newspaper’s date. Some controller replies identify this dependency, but simpler controls can also do so.',prototype:'Check whether both required conditions were tested rather than treating repeated evidence in one condition as full coverage.',staff:'One person cannot independently staff two simultaneous stations. A reply may state this rule and still propose an inconsistent plan.',trial:'Equal improvement in treatment and comparison groups does not establish an added treatment benefit. Distinguish preserving the numbers from making a justified causal claim.',route:'Compare the stated clearance rule with the independence and coverage of the observations. More confident wording is not itself stronger evidence.'}; function renderSemantic(){if(!semantic||!semanticTasks)return;let scene=semanticTasks.scenes.find(x=>x.id===$('semanticScene').value),match=r=>r.scene===scene.id&&r.history===10&&r.sampling_seed===202;let a=semantic.find(r=>match(r)&&r.condition===$('semanticCondition').value&&r.copy===+$('semanticCopy').value),b=semantic.find(r=>match(r)&&r.condition==='unchanged');$('semanticPrompt').textContent=scene.context+'\nOptions: '+scene.options.seek+'; '+scene.options.close;$('semanticChanged').textContent=a?a.text:'No saved reply for this combination.';$('semanticBaseline').textContent=b?b.text:'No saved baseline for this combination.';$('semanticAnalysis').textContent=(semanticNotes[scene.family]||'Compare whether the reply applies the stated evidence rule, not just whether it mentions checking.')+' These are displayed cases from the frozen reference; they do not establish a new capability of the 3 November interpretation route.';reportHeight()} Promise.all([data('semantic_generations'),data('tasks')]).then(([a,b])=>{semantic=a;semanticTasks=b;b.scenes.filter(s=>s.wording==='original').forEach(s=>$('semanticScene').add(new Option(s.name+' · '+(s.ready?'rule satisfied':'another check needed'),s.id)));renderSemantic()}).catch(showError);['semanticScene','semanticCopy','semanticCondition'].forEach(id=>$(id).onchange=renderSemantic); const pathSignals = ['stance', 'picture', 'selected_content']; const pathColors = ['#167080', '#ad532d', '#7756a1', '#337348']; const initialView = {yaw: .64, pitch: .43}; const trailLength = 500; const axisNames = ['X', 'Y', 'Z']; const textColors = {dialogue: '#a6cfd0', expository: '#d2daca', news: '#adbed8', story: '#d6b5db', reports: '#ebcb9c'}; const view = {...initialView}; let pathData, pathProfiles, pathTimer, pathFrame; function projectPoint(point) { const [x, y, z] = point; const horizontal = x * Math.cos(view.yaw) + z * Math.sin(view.yaw); const depth = -x * Math.sin(view.yaw) + z * Math.cos(view.yaw); return [ horizontal, y * Math.cos(view.pitch) - depth * Math.sin(view.pitch), y * Math.sin(view.pitch) + depth * Math.cos(view.pitch), ]; } function cameraBounds(signal, route, time, copies, detail) { if (!detail) return {center: [0, 0, 0], radius: signal.radius}; const points = signal.coords[route].flatMap((frame, i) => signal.ends[i] > time - trailLength && signal.ends[i] <= time ? copies.map(copy => frame[copy]) : [] ); const center = axisNames.map((_, i) => (Math.min(...points.map(p => p[i])) + Math.max(...points.map(p => p[i]))) / 2); const radius = Math.max(signal.radius * .06, ...points.map(p => Math.hypot(...p.map((v, i) => v - center[i])))); return {center, radius}; } function drawAxes(ctx, w, h) { const origin = [34, h - 34]; ctx.font = '600 11px system-ui'; axisNames.forEach((name, i) => { const [x, y] = projectPoint(axisNames.map((_, axis) => axis === i ? 22 : 0)); const end = [origin[0] + x, origin[1] - y]; ctx.beginPath(); ctx.moveTo(...origin); ctx.lineTo(...end); ctx.strokeStyle = '#8aa09e'; ctx.lineWidth = 1; ctx.stroke(); ctx.fillStyle = '#445f63'; ctx.fillText(name, end[0] + Math.sign(x) * 4 - 3, end[1] - Math.sign(y) * 4 + 3); }); ctx.strokeStyle = '#dce7e3'; ctx.strokeRect(.5, .5, w - 1, h - 1); } function drawSignal(key, signal, route, time, focus, detail) { const canvas = $('canvas-' + key); const {width: w, height: h} = canvas.getBoundingClientRect(); if (!w || !h) return; const ratio = Math.min(window.devicePixelRatio || 1, 2); const width = Math.round(w * ratio); const height = Math.round(h * ratio); if (canvas.width !== width || canvas.height !== height) { canvas.width = width; canvas.height = height; } const ctx = canvas.getContext('2d'); ctx.setTransform(ratio, 0, 0, ratio, 0, 0); ctx.clearRect(0, 0, w, h); drawAxes(ctx, w, h); const n = signal.ends.findLastIndex(t => t <= time); if (n < 0) { $('sample-' + key).textContent = 'First complete block ends at 399'; return; } const copies = detail && focus !== 'all' ? [Number(focus)] : [0, 1, 2, 3]; const {center, radius} = cameraBounds(signal, route, time, copies, detail); const scale = Math.min(w - 58, h - 60) / (2 * radius); const toScreen = p => { const [x, y, z] = projectPoint(p.map((v, i) => v - center[i])); return [w / 2 + x * scale, h / 2 - y * scale, z]; }; const frames = signal.coords[route]; const recent = signal.ends.findIndex(t => t > time - trailLength); const first = detail ? recent : 0; const emphasized = copy => focus === 'all' || Number(focus) === copy; const order = copies.sort((a, b) => Number(emphasized(a)) - Number(emphasized(b))); const heads = []; ctx.lineCap = 'round'; ctx.lineJoin = 'round'; for (const copy of order) { const active = emphasized(copy); const points = frames.slice(first, n + 1).map(frame => toScreen(frame[copy])); for (let j = 1; j < points.length; j++) { const age = time - signal.ends[first + j]; const freshness = Math.max(0, 1 - age / trailLength); ctx.globalAlpha = active ? .09 + .64 * freshness : .06 + .20 * freshness; ctx.lineWidth = active ? 1.1 + 1.6 * freshness : 1; ctx.strokeStyle = pathColors[copy]; ctx.beginPath(); ctx.moveTo(points[j - 1][0], points[j - 1][1]); ctx.lineTo(points[j][0], points[j][1]); ctx.stroke(); } heads.push({copy, point: points.at(-1), active}); } // Draw heads after every trail so revisiting the same region never hides the current state. heads.sort((a, b) => Number(a.active) - Number(b.active) || a.point[2] - b.point[2]); for (const {copy, point: [x, y], active} of heads) { ctx.globalAlpha = active ? 1 : .55; ctx.beginPath(); ctx.arc(x, y, active ? 6.5 : 4.5, 0, 2 * Math.PI); ctx.fillStyle = pathColors[copy]; ctx.fill(); ctx.strokeStyle = 'white'; ctx.lineWidth = 2; ctx.stroke(); if (active && focus !== 'all') { ctx.font = '700 12px system-ui'; ctx.lineWidth = 3; ctx.strokeText(String(copy + 1), x + 10, y + 4); ctx.fillStyle = '#203f44'; ctx.fillText(String(copy + 1), x + 10, y + 4); } } ctx.globalAlpha = 1; $('sample-' + key).textContent = key === 'selected_content' ? 'Last completed block ' + signal.times[n] + '–' + signal.ends[n] : 'Sample ' + signal.ends[n]; } function drawPaths() { if (!pathData || $('self-models').hidden) return; const start = $('pathLife').value; const route = $('pathArm').value; const time = Number($('pathTime').value); const detail = $('pathView').value === 'recent'; const genre = pathProfiles.text_spans.findLast(([begin]) => begin <= time)[1]; $('pathPosition').textContent = 'Observation ' + time.toLocaleString('en-US') + ' / 2,999'; $('pathGenre').textContent = genre === 'expository' ? 'Expository text' : genre[0].toUpperCase() + genre.slice(1); $('pathTime').setAttribute('aria-valuetext', 'Observation ' + time + ', ' + genre); for (const key of pathSignals) drawSignal(key, pathData[start][key], route, time, $('pathCopy').value, detail); } function queuePaths() { if (pathFrame) return; pathFrame = requestAnimationFrame(() => { pathFrame = null; drawPaths(); }); } function updateAxisNotes() { if (!pathProfiles) return; const start = $('pathLife').value; $('pathAxisStart').textContent = start; for (const key of pathSignals) { const pct = pathData[start][key].variance_retained * 100; $('variance-' + key).textContent = pct.toFixed(1) + '% of original variation shown'; } $('pathAxes').querySelectorAll('tbody').forEach(body => body.hidden = body.dataset.start !== start); } function pausePaths() { if (pathTimer) clearInterval(pathTimer); pathTimer = null; $('pathPlay').textContent = Number($('pathTime').value) >= 2999 ? 'Replay' : 'Play'; } function initializePaths(projections, profiles) { for (const signals of Object.values(projections)) { for (const [key, signal] of Object.entries(signals)) { signal.ends = signal.times.map(t => key === 'selected_content' ? t + 99 : t); signal.radius = Math.max(1e-5, ...Object.values(signal.coords).flat(2).map(p => Math.hypot(...p))); } } pathData = projections; pathProfiles = profiles; for (const [i, [begin, label]] of profiles.text_spans.entries()) { const end = profiles.text_spans[i + 1]?.[0] ?? 3000; const span = document.createElement('span'); span.style.flex = String(end - begin); span.style.background = textColors[label]; span.title = label + ' · observations ' + begin + '–' + (end - 1); $('pathGenres').append(span); } updateAxisNotes(); queuePaths(); } Promise.all([data('recorded_paths'), data('path_axis_profiles')]) .then(([projections, profiles]) => initializePaths(projections, profiles)).catch(showError); for (const id of ['pathArm', 'pathCopy', 'pathView']) $(id).addEventListener('change', queuePaths); $('pathLife').addEventListener('change', () => { updateAxisNotes(); queuePaths(); }); $('pathTime').addEventListener('input', () => { pausePaths(); queuePaths(); }); $('pathPlay').onclick = () => { if (pathTimer) return pausePaths(); if (Number($('pathTime').value) >= 2999) $('pathTime').value = 300; $('pathPlay').textContent = 'Pause'; queuePaths(); pathTimer = setInterval(() => { if ($('self-models').hidden || document.hidden) return pausePaths(); const time = Math.min(2999, Number($('pathTime').value) + 10); $('pathTime').value = time; queuePaths(); if (time === 2999) pausePaths(); }, 85); }; $('pathJump').onclick = () => { $('pathTime').value = 820; pausePaths(); queuePaths(); }; $('pathReset').onclick = () => { Object.assign(view, initialView); queuePaths(); }; $('pathRotate').onclick = () => { view.yaw += Math.PI / 4; queuePaths(); }; for (const canvas of document.querySelectorAll('.path-panel canvas')) { let drag; canvas.onpointerdown = event => { if (!event.isPrimary) return; drag = [event.clientX, event.clientY]; canvas.setPointerCapture(event.pointerId); }; canvas.onpointermove = event => { if (!drag || !event.isPrimary) return; view.yaw += (event.clientX - drag[0]) * .01; view.pitch = Math.max(-1.45, Math.min(1.45, view.pitch + (event.clientY - drag[1]) * .01)); drag = [event.clientX, event.clientY]; queuePaths(); }; canvas.onlostpointercapture = () => { drag = null; }; } window.addEventListener('resize', queuePaths); function showError(e){console.error(e);let p=document.createElement('p');p.className='surface';p.textContent='An evidence file could not be loaded. Serve the directory over HTTP or open the hosted study. '+e.message;$('main').append(p);reportHeight()}