messages list | tier int64 | src string |
|---|---|---|
[
{
"role": "user",
"content": "…[earlier truncated]…\n,\"command\":\"tail -f /tmp/claude-1000/-home-lane-MythosMini/189f0549-c2fc-4fc7-b50d-37cd255eabf2/tasks/bstyq4kjl.output\"}\nAssistant action: Bash {\"command\": \"cat >> /home/lane/MythosMini/journal.md <<'EOF'\\n\\n## [2026-06-12 14:20] — double-decode... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n |\n|---|---|---|---|\n| 3-digit, batch 500 | 22.0 | 46.8 | 424.8 |\n| 3-digit, single prompt | 1.6 | 2.3 | 20.8 |\n| 5-digit, batch 500 | 76.5 | 115.7 | 741.0 |\n| 5-digit, single prompt | 3.1 | **3.3** | 30.3 |\n\n## Honest read\n\n1. **Training wall-cl... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nnfig,\n450- models[index],\n451- tensors,\nAssistant action: Bash {\"command\": \"python3 - <<'EOF'\\np = \\\"tests/double_decoder.py\\\"\\ns = open(p).read()\\n\\ns = s.replace(\\\"\\\"\\\" talker_layers: int = 2\\n\\\"\\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nf talker_steps_for(config: ExperimentConfig, steps: int) -> int:\\n return max(1, int(round(steps * config.talker_steps_fraction)))\\n\\n\\ndef consensus_vote_decode(\\n config: ExperimentConfig, thinker: DecoderStack, talker: DecoderStack, prompts:... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn_experiment(config: ExperimentConfig) -> dict[str, float]:\n360: talker_losses = train_model(config, talker, (train_p, train_t, train_a), \"talker\")\n430: jobs: list[tuple[tuple[Tensor, ...], str]] = [\n448: train_steps(\n443: fo... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsor, int]:\\n candidates: list[Tensor] = []\\n counts: list[dict[tuple[int, ...], int]] = [{} for _ in range(prompts.shape[0])]\\n for candidate in range(config.candidate_count):\\n think = diffusion_sample(\\n thinker,\\n ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n >= 0.0:\n continue\n start = perf_counter()\n train_steps(\n config,\n models[index],\n tensors,\n kind,\n optimizers[index],\n ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ng.steps + 1, eval_interval):\n486: eval_interval,\nAssistant action: Bash {\"command\": \"sed -n 475,490p tests/double_decoder.py\", \"description\": \"View time_to_target inner loop\"}\nResult: clock_key = \"baseline\" if kind ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nart = perf_counter()\\n train_steps(\\n config,\\n models[index],\\n tensors,\\n kind,\\n optimizers[index],\\n generators[index],\\n eval_... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n0 s). Waiting for 5-digit.\nUser: <task-notification>\n<task-id>bzfkdp7qn</task-id>\n<summary>Monitor event: \"efficiency improvement measurements\"</summary>\n<event>{\"measure\": \"time_to_90_frac25\", \"digits\": 5, \"seed\": 20260612, \"double_seconds... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\norking — do not poll or sleep. Events may arrive while you are waiting for the user — an event is not their reply.\nAssistant: While running: docs entries for the two new functions.\nAssistant action: Bash {\"command\": \"cat >> docs/functions.md <<'EOF'\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n r = time_to_target(c, 0.9, 100)\\n print(json.dumps({\\\"measure\\\": \\\"time_to_90_frac25\\\", \\\"digits\\\": digits, \\\"seed\\\": seed,\\n **{k: round(v, 2) for k, v in r.items()}}), flush=True)\\n\\nfor seed in (20260612, 7):... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\neps\": 6, \"acc\": 0.99, \"ms\": 74.2}\n{\"measure\": \"vote_compare_5d\", \"full_vote_acc\": 0.984, \"full_vote_ms\": 671.3, \"consensus_acc\": 0.982, \"consensus_ms\": 404.6, \"candidates_used\": 5}</event>\n</task-notification>\nAssistant: All measurem... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nline on real time-to-90% in all four cells where it previously lost three — 3d: 4.43/3.29 s vs 5.48/4.06 s; 5d: 7.77/6.37 s vs 11.12/21.44 s — with full accuracy parity at 5d/1200 (1.00 …[truncated]\nResult: pyaot: checked 83 file(s) — 0 error(s) in 0 fil... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nq 2>&1 | tail -2\", \"description\": \"Default talker fraction 0.25, run tests\", \"timeout\": 300000}\nResult: ........................... [100%]\n27 passed in 3.27s\nAssistant action: Bash {\"command\": \"mak... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n.talker_layers, c.prompt_len + c.think_len + c.answer_len + 2, True)\\n baseline = DecoderStack(c, c.baseline_layers, c.prompt_len + c.answer_len + 1, True)\\n train_model(c, thinker, (train_p, train_t), \\\"diffusion\\\")\\n tc = ExperimentConfi... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nl) Bash input={\"command\": \"cat >> /home/lane/MythosMini/journal.md <<'EOF'\\n\\n## [2026-06-12 15:40] — 1000-question inference efficiency comparison vs single-AR baseline\\n\\n**TL;DR:** Measured pure inference (1000 random unseen questions, trained 1... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n* for it. Baseline = 1 stage; double = 2 stages, always both. Slower by construction.\n\n## Your expectation is right — the design just doesn't implement it yet\n\nWhat you're describing is adaptive compute: diffusion …[truncated]\nUser: do that please\nA... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nuble_decoder\\\\|def run_experiment\\\\|def time_to_target\\\\|thinker = DecoderStack\\\\|jobs: list\\\\|train_p, train_t), \\\\\\\"diffusion\\\\\\\"\\\" tests/double_decoder.py\", \"description\": \"Locate all thinker call sites\"}\nResult: 309:def evalu... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n 2>&1 | tail -1 && git add tests/double_decoder.py tests/test_double_decoder.py && git commit -q -m \\\"add confidence-gated adaptive decode with joint-field thinker\\\" && git log --oneline -1\", \"description\": \"pyaot, commit adaptive decode\", \"time... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nwer_len`, `seed`), `joint_thinker: DecoderStack` trained on the concatenated think+answer field, `talker: DecoderStack`, `prompts: Tensor`.\\n\\n**Returns:** `(answers (batch, answer_len), fast_path_fraction: float in [0, 1])`.\\n\\n**Side effects:** None... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n1] :]\\n probs = logits.softmax(dim=-1)\\n return probs.gather(-1, field.unsqueeze(-1)).squeeze(-1)\\n\\n\\ndef adaptive_decode(\\n config: ExperimentConfig, joint_thinker: DecoderStack, talker: DecoderStack, prompts: Tensor\\n) -> tuple[Tensor, ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ngit comparable-accuracy point 128.1 m …[truncated]\nResult: 5554a62 journal adaptive decode results\nAssistant: Built, measured, committed (af57885, 0aa0e87, 5554a62). 31/31 tests, pyaot clean.\n\n## What was built\n\nExactly your design: thinker now diff... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ndswith(b\\\" \\\")''',\\n''' gist = text_gist(b\\\"The quick brown fox is on a hill\\\", 20)\\n assert gist.shape == (20,)\\n decoded = bytes(int(i) - BYTE_OFFSET for i in gist.tolist())\\n assert decoded == b\\\"quick brown hill \\\"''')\\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ne-decoder experiment on real fineweb cache\nAssistant action: Bash {\"command\": \"CUDA_VISIBLE_DEVICES=\\\"\\\" .venv/bin/python - <<'EOF'\\nimport json, math\\nfrom tests.double_decoder_text import TextExperimentConfig, run_text_experiment\\n\\nfor step... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\need\\\": seed,\\n \\\"double_ce\\\": round(r[\\\"double_ce\\\"], 4),\\n \\\"double_bpb\\\": round(r[\\\"double_ce\\\"] / math.log(2), 3),\\n \\\"oracle_ce\\\": round(r[\\\"oracle_gist_ce\\\"], 4),\\n \\\"baselin... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nch event. Keep working — do not poll or sleep. Events may arrive while you are waiting for the user — an event is not their reply.\nAssistant: You've hit your session limit · resets 4:10pm (America/New_York)\nUser: <task-notification>\n<task-id>b16xd13j1<... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nc7-b50d-37cd255eabf2/tasks/btbq4v3hc.output. You will be notified when it completes. To check interim output, use Read on that file path.\nAssistant action: Monitor {\"command\": \"tail -f /tmp/claude-1000/-home-lane-MythosMini/189f0549-c2fc-4fc7-b50d-37c... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nuble_ce\\\"] / math.log(2), 3),\\n \\\"oracle_ce\\\": round(r[\\\"oracle_gist_ce\\\"], 4),\\n \\\"baseline_ce\\\": round(r[\\\"baseline_ce\\\"], 4),\\n \\\"baseline_bpb\\\": round(r[\\\"baseline_ce\\\"] / math.log(2), 3),\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ntorch.uint8)\\n if kept.numel() == 0:\\n raise ValueError(f\\\"token cache at {path} contained no byte tokens below 256\\\")\\n return bytes(kept[:limit].tolist())''')\\nopen(p, \\\"w\\\").write(s)\\nEOF\\n.venv/bin/python -m pytest tests/tes... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nHREVGACUAAAABV4QAAAAYR1BPUx5BaC0AAV6kAAAkgkdTVUKugaZTAAFXnAAABwZPUy8ycR1neQAAAUAAAABgY21hcGH6CC8AAAW8AAAGxGhlYWQuI49fAAAA3AAAADZoaGVhC0gCDQAAARQAAAAkaG10eM06w8wAAYNEAAAFem1heHACu1AAAAABOAAAAAZuYW1lWjCyZwAAAaAAAAQacG9zdP87AGUAAAyAAAAAIAABAAAAGgsCSioyrF8PPP... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n(ellipse 60% 50% at 80% 70%, rgba(168,146,106,0.04) 0%, transparent 60%);\\n pointer-events: none;\\n}\", \"new_string\": \" radial-gradient(ellipse 60% 50% at 80% 70%, rgba(168,146,106,0.04) 0%, transparent 60%);\\n pointer-events: none;\\n ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nn color: #e8e6e3;\\n}\\n\\n/* ── Motion ── */\\n@keyframes rise {\\n from { opacity: 0; transform: translateY(18px); }\\n to { opacity: 1; transform: translateY(0); }\\n}\\n\\n@keyframes glow-drift {\\n 0%, 100% { transform: translate3d(0, 0... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nance.html has been updated successfully. (file state is current in your context — no need to Read it back)\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/lane/MythosMini/slm_alliance.html\", \"old_string\": \"</body>\\n</html>\", ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nfter { margin: 0; padding: 0; box-sizing: border-box; }\n86: *, *::before, *::after {\n242:.people-grid {\n392: .people-grid { grid-template-columns: repeat(auto-fill, minmax(90px, 1fr\n396:</style>\n400:<!-- ═══ HERO ═══ -->\n464: <div class=\"p... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n);\\n line-height: 1.6;\\n min-height: 100vh;\\n}\\n\\n::selection {\\n background: #b14e2826;\\n color: var(--ink);\\n}\\n\\n/* ── Motion ── */\\n@keyframes rise {\\n from { opacity: 0; transform: translateY(18px); }\\n to { opacity: ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nSULT: 630\t<footer class=\"footer\">\n631\t <span>The SLM Alliance</span>\n632\t <span>Building the future of small language models</span>\n633\t</footer>\n634\t\n635\t<script>\n636\t(function () {\n637\t var reduced = window.matchMedia('(prefers... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\neplaced with ivory editorial design: paper background (`#f6f2e9`), ink text, terracotta + teal accents, ruled hairlines instead of glows. Reads like a printed research broadsheet, not a SaaS template.\n- **Glint Research** — pulled out of the grid into a ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nAANSUhEUgAAAIAAAACACA\n556: <span class=\"featured-tag\">Lead Developer</span>\n557: <div class=\"featured-name\">Glint Research</div>\n563: <div class=\"people-grid\">\n643: document.querySelectorAll('.people-grid').forEach(fu... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nted]\nResult: File created successfully at: /tmp/splice2.py (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"cd /tmp && python3 splice2.py && node -e \\\"\\nconst fs=require('fs');const s=fs.readFil... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nt Research', s.indexOf('people-grid'))>-1);\\nnew Function(s.split('<script>')[1].split('</script>')[0]); console.log('JS OK');\\n// crude div balance in body\\nconst body=s.slice(s.indexOf('<body>'),s.indexOf('</body>'));\\nconsole.log('divs:',(body.matc... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\np reads as random redraws not a rhythm:\nAssistant action: Write {\"file_path\": \"/tmp/splice4.py\", \"content\": \"import re, random\\n\\nPATH = '/home/lane/MythosMini/slm_alliance.html'\\nsrc = open(PATH).read()\\nrandom.seed(42)\\n\\ndef jitter(d, amt... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nue: each squiggle is 3 slightly different hand-drawn SVG paths flipbooked at ~13fps (`steps(1)`, 0.72s cycle), so lines constantly wobble like pencil frames:\n - Coral squiggly underline under \"Smaller is smarter.\" in the hero\n - Wobbling sage hand-d... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nack)\nAssistant action: Bash {\"command\": \"python3 /tmp/splice4.py && node -e \\\"\\nconst fs=require('fs');const s=fs.readFileSync('/home/lane/MythosMini/slm_alliance.html','utf8');\\nconst body=s.slice(s.indexOf('<body>'));\\nconsole.log('paths:',(bod... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsible on dark bg */\n --duration:.9 …[truncated]\nAssistant: Three changes: faster boil, straighten the squiggles into hand-drawn lines instead of waves, and the stroke-draw logo at the page end (white, plays when scrolled into view).\nAssistant acti... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\\"[^>]*/>\\\\s*)+', new_paths + '\\\\n', region, count=1)\\n src = src[:i] + region + src[e:]\\n\\n# ── Straighten: hand-drawn LINES, not waves. Boil comes from jitter only. ──\\ncoral = 'fill=\\\"none\\\" stroke=\\\"#d97757\\\" stroke-width=\\\"5\\\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nom outro into hero, orange strokes ──\\nl …[truncated]\nResult: File created successfully at: /tmp/splice6.py (file state is current in your context — no need to Read it back)\nAssistant action: Bash {\"command\": \"python3 /tmp/splice6.py && node -e \\\"... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nes (keeping the circle, which wasn't a wave), and moving the logo into the hero's right side with orange strokes:\nAssistant action: Write {\"file_path\": \"/tmp/splice6.py\", \"content\": \"import re\\n\\nPATH = '/home/lane/MythosMini/slm_alliance.html'\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nd into the hero** - it now sits in the empty space to the right of \"Bigger isn't better. / Smaller is smarter.\", and the stroke-draw animation runs in coral orange (`#d97757`) instead of white. The hero is a two-column grid (copy left, logo right); it f... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n(/<\\\\/div>/g)||[]).length);\\nconsole.log('svg:',(body.match(/<svg/g)||[]).length,(body.match(/<\\\\/svg>/g)||[ …[truncated]\nResult: OK\ndivider svgs: 0\nunderline-wrap: 0\nsquiggle svgs left: 1 (expect 1: circle)\nlogo in hero: true\norange stroke: tr... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nposition logo ──\\nrep('''<section class=\\\"hero\\\">\\n <div class=\\\"hero-inner\\\">\\n <div class=\\\"hero-copy\\\">\\n <p class=\\\"hero-eyebrow\\\">''', '''<section class=\\\"hero\\\">\\n <p class=\\\"hero-eyebrow\\\">''')\\n\\nrep(''' ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n(s.indexOf('<body>'));\\nconsole.log('sweep gone:', !s.includes('aiLogoSweep'));\\nconsole.log('boil filter:', s.includes('logoBoil'), 'seed anim:', s.includes('attributeName=\\\\\\\"seed\\\\\\\"'));\\nconsole.log('hero-inner gone:', !s.includes('hero-inn... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\noil filter:', s.includes('logoBoil'), 'seed anim:', s.includes('attributeName=\\\\\\\"seed\\\\\\\"'));\\nconsole.log('hero-inner gone:', !s.includes('hero-inner'));\\nconsole.log('hero-logo absolute:', s.includes('.hero-logo {\\\\n position: absolute;'... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ne` + `feDisplacementMap` filter whose noise seed flips between 4 values every 0.16s (same 0.64s flipbook cadence as the circle). Every stroke segment warps a few pixels differently each frame, the genuine hand-drawn boil, and since the draw segments are c... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nresult=\\\"noise\\\">\\n <animate attributeName=\\\"seed\\\" values=\\\"1;7;13;4\\\" dur=\\\"0.64s\\\" repeatCount=\\\"indefinite\\\" calcMode=\\\"discrete\\\"/>\\n </feTurbulence>'''\\nnew='''<feTurbulence type=\\\"fractalNoise\\\" baseFr... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ne this.[Image #3] but every time the frame shifts it will smoothly ranfomize it as if drawing from emory\nUser: [Image: source: /home/lane/.claude/image-cache/32bd3eac-d079-4d7f-8f49-b34180656abd/3.png]\nAssistant: The image's look needs the warp to *glid... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\\\"G\\\"/>\\n </filter>'''\\nnew='''<filter id=\\\"logoBoil\\\" x=\\\"-10%\\\" y=\\\"-10%\\\" width=\\\"120%\\\" height=\\\"120%\\\">\\n <feT …[truncated]\nResult: OK\nAssistant: That rotating-warp drift is gone. The new mechanism:\n\n- Two i... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhas the animated head placed in a hand and it has the wiggle effect I want.\nAssistant action: ToolSearch {\"query\": \"select:WebSearch,WebFetch\"}\nResult: \nAssistant action: WebSearch {\"query\": \"Anthropic website animated illustration wiggle effec... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nect\nAssistant: The panning was a coherent drift, yeah. New approach: two noise generators crossfading into each other - while one is invisible it silently re-seeds, so the logo continuously melts from one random pose to the next with no direction or rota... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\nAssistant action: Bash {\"command\": \"python3 - <<'EOF'\\nPATH='/home/lane/MythosMini/slm_alliance.html'\\nsrc=open(PATH).read()\\n\\nold='''<filter id=\\\"logoBoil\\\" x=\\\"-10%\\\" y=\\\"-10%\\\" width=\\\"120%\\\" height=\\\"120%\\\">\\n <fe... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n=\\\"0.004\\\" numOctaves=\\\"1\\\" seed=\\\"1\\\" result=\\\"noise\\\"/>')\\nsrc=src.replace('scale=\\\"60\\\"','scale=\\\"45\\\"')\\n\\nold=''' // Anthropic-style boil: nudge turbulence baseFrequency every 100ms.\\n if (!window.matchMedia(... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\non-with-svg-filters) (also discussed re: Anthropic's sites on [Hacker News](https://news.ycombinator.com/item?id=47427727)):\n\n- One static `feTurbulence` (`type=\"turbulence\"`, `numOctaves=\"2\"`, fixed seed) feeding `feDisplacementMap`.\n- All the SMI... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "User: I want you to read agents.md, then follow this experment. THe STM paper is pasted below, use it. I want you to run a 2B model training run on 10% of fineweb-edu (python3 train.py 2 100), but use STM on the ordinary version of the model (non SLERP, latest checkpoint) and t... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n: \"curl -s https://www.anthropic.com -A \\\"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/125 Safari/537.36\\\" | grep -oE '(src|href)=\\\"[^\\\"]*\\\\.(webm|mp4|json|gif|riv|lottie)[^\\\"]*\\\"' | sort -u | head -30; echo ---; curl -s https:... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "User: I want you to read agents.md, then follow this experment. THe STM paper is pasted below, use it. I want you to run a 2B model training run on 10% of fineweb-edu (python3 train.py 2 100), but use STM on the ordinary version of the model (non SLERP, latest checkpoint) and t... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n forcing continued focus on challenging material. The process repeats across multiple epochs with a shrinking dataset.\n\n## Algorithm Overview\n\n**Per-epoch procedure:**\n1. Train model on current dataset for one epoch\n2. Identify samples where loss de... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nT (tool call) Read input={\"file_path\": \"/home/lane/MythosMini/journal.md\"}\nResult: <system-reminder>[Truncated: PARTIAL view — showing lines 1-341 of 433 total (26924 tokens, cap 25000). Call Read with offset=342 limit=341 for the next page, or Grep ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nGlint-Research/Tiny-ML-Leaderboard/raw/main/index.html\"\n11\t)\n12\tWIKI_PPL_CAP = 500.0\n13\t\n14\tFINEWEB_DATASET = \"HuggingFaceFW/fineweb-edu\"\n15\tFINEWEB_CONFIG = \"sample-100BT\"\n16\tDEFAULT_QUALITY_PERCENT = 10.0\n17\t\n18\tFINEWEB_SCORE_DISTRI... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nma was not sent to the API — it was not in the discovered-tool set derived from message history. Without the schema in your prompt, typed parameters (arrays, numbers, booleans) get emitted as strings and the client-side parser rejects them. Load the tool ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nhe API — it was not in the discovered-tool set derived from message history. Without the schema in your prompt, typed parameters (arrays, numbers, booleans) get emitted as strings and the client-side parser rejects them. Load the tool first: call ToolSear... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n [100%]\n148 passed in 4.06s\nAssistant action: Bash {\"command\": \"make fix 2>&1 | tail -2 && make lint 2>&1 | tail -4\", \"description\": \"Fix imports and relint\"}\nResult: .venv/bin/ruff check --fix src/ t... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nph.py\n3485:### plan_tasks — ralph.py\n3489:### handle_failed_iteration — ralph.py\n3493:### verify_task — ralph.py\n3497:### verify_pending_freebuff_tasks — ralph.py\n3501:### replan_tasks — ralph.py\n3505:### handle_verification_result — ralph.py\n3509:... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns/Callees:** Called by `accumulate_gradients`, `train.autotune_training_batch` (and monkeypatched in OOM test). Calls `MythosMini.forward`, `cross_entropy`.\nAssistant action: Bash {\"command\": \"cat >> docs/functions.md << 'EOF'\\n\\n### StmConfig — src... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nning/stm.py: function 'load_sample_pool'\n src/mythosmini/training/stm.py: function 'per_sample_loss'\n src/mythosmini/training/stm.py: function 'run_stm'\n src/mythosmini/training/stm.py: function 'select_survivors'\n src/mythosmini/training/stm.py: ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\np/stm_exp1.log 2>&1; echo \\\"exit: $?\\\"\", \"description\": \"Run STM experiment 1 (STM on latest checkpoint + SLERP)\", \"run_in_background\": true}\nResult: Command running in background with ID: b7pkdavdf. Output is being written to: /tmp/claude-100... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nk-id>\n<summary>Monitor event: \"STM exp1 progress and failures\"</summary>\n<event>stm pool: 124756 samples of 513 tokens, source step 7630\nstm epoch 1: pool 124756 mean loss 1.2360 saved step_00007730.pt\nstm epoch 2: pool 124756 mean loss 1.2146 saved... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n+1 tokens as a (N, seq_len+1) int64 tensor on the target device.\\n\\n**Parameter …[truncated]\nResult: grep: src/mythosmini/data/__pycache__/fineweb.cpython-312.pyc: binary file matches\ngrep: src/mythosmini/data/__pycache__/packing.cpython-312.pyc: bina... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n before any merging). Tournament running — waiting for final champion and placement.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<summary>Monitor event: \"STM exp1 progress and failures\"</summary>\n<event>gen0_step_00008130+step_00007930@t0... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nnitor input={\"command\": \"tail -n +1 -f /tmp/stm_exp1.log | grep -E --line-buffered \\\"stm epoch|stm done|stm pool|champion|final results|wikitext|blimp|arc-easy|leaderboard placement|best checkpoint|Traceback|Error|error|OOM|Killed|exit:\\\"\", \"desc... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n8 blimp 59.25 arc 32.60\ngen1_gen0_step_ …[truncated]\nAssistant: Generation 1 merges scoring well (best ~59.36 BLiMP / 33.4 ARC / 4.67 PPL). Still waiting for final verdict.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<summary>Monitor event... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n0\ngen0_st …[truncated]\nAssistant: Tournament generation 0 sweep in progress. Waiting for final results.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<summary>Monitor event: \"STM exp1 progress and failures\"</summary>\n<event>gen1_gen0_step... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nirst and passing; 148 tests total, lint/pyaot clean. Experiment 1 (STM on runs/20260610_193911 step_00007630 then SLERP) launched.\\n\\n**Long description:** User experiment: take the baseline run (runs/20260610_193911, champion gen1_gen0_step_00007630+st... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\np_00008130@t0.20+gen0_step_00008230+step_00008130@t0.35@t0.35: wiki_ppl 4.663 blimp 59.21 arc 31.20\ngen1_gen0_step_ …[truncated]\nAssistant: Still gen-1 sweeps. Waiting for the tournament to converge.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n4.715 blimp 59.16 arc 33.20\ngen2_gen1_gen0_step_00008230+step_00006000@t0.20+gen0_step_00008230+step_00008130@t0.20@t0.35+gen1_gen0_step_00008230+step_00006000@t0.20+gen0_step_00008230+step_00008130@t0.20@t0.20@t0.50: wiki_ppl 4.718 blimp 59.00 arc 32.80... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n35+gen1_gen0_step_00008230+step_00008130@t0.20+gen0_step_00008230+step_00008130@t0.50@t0.65@t0.50+gen1_gen0_step_00008230+step_00008130 …[truncated]\nAssistant: Gen 3 now. Waiting for champion.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<su... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n Gen 3 sweeping. Waiting.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<summary>Monitor event: \"STM exp1 progress and failures\"</summary>\n<event>gen3_gen2_gen1_gen0_step_00008230+step_00006000@t0.20+gen0_step_00008230+step_00008130@t0.20@t... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n\nAssistant: Tournament still running gen 2. Waiting.\nUser: <task-notification>\n<task-id>bi08vsm7e</task-id>\n<summary>Monitor event: \"STM exp1 progress and failures\"</summary>\n<event>gen2_gen1_gen0_step_00008230+step_00008130@t0.20+gen0_step_0000823... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nults\": 1}\nResult: \nAssistant action: TaskStop {\"task_id\": \"bi08vsm7e\"}\nResult: {\"message\":\"Successfully stopped task: bi08vsm7e (tail -n +1 -f /tmp/stm_exp1.log | grep -E --line-buffered \\\"stm epoch|stm done|stm pool|champion|final results|wi... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nrd placement: overall 59.62 (rank 16/36), efficiency 9.90 (rank 10/36)\nstep_00007630: wiki_ppl 5.139 blimp 57.55 arc 31.00\nstep_00007630: overall 57.70 (rank 17/36), efficiency 9.58 (rank 12/36)\nstep_00008230: wiki_ppl 4.669 blimp 59.00 arc 31.00\nstep... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n=====\nAssistant: **Done. Both STM variants beat baseline. STM-then-SLERP on ordinary checkpoint best.**\n\n| Run | Wiki byte PPL | BLiMP | ARC-E | Overall | Efficiency |\n|---|---|---|---|---|---|\n| Baseline (SLERP only) | 5.167 | 57.48 | 33.00 | 58.31 ... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\naper's recursive STM: after a full pass, reset the pool to everything, tighten the mastery bar, run again — gains big on round 2, diminishing by round 3 (9.2% → 29.6% → 30.8% unseen-hard accuracy; compute savings 1.8% → 4.0% → 21.2%). I'll add multi-round... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\ns current in your context — no need to Read it back)\nAssistant: Now update `stm.py` entry to take rounds:\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/lane/MythosMini/stm.py\", \"old_string\": \"from src.mythosmini.training.stm... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n survivors = run_stm(model, optimizer, pool, config, dtype, on_epoch)\\n print(f\\\"stm done: {survivors.shape[0]} of {pool.shape[0]} samples survived\\\")\", \"new_s …[truncated]\nResult: The file /home/lane/MythosMini/stm.py has been updated success... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n with tightening mastery floor\nAssistant action: Bash {\"command\": \".venv/bin/python stm.py runs/20260610_193911/checkpoints/step_00007630.pt runs/20260610_193911 3 > /tmp/stm_exp3.log 2>&1; echo \\\"exit: $?\\\"\", \"description\": \"Run 3-round recur... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n context — no need to Read it back)\nAssistant: Add proving tests for `round_config`:\nAssistant action: Bash {\"command\": \"cat >> tests/test_stm.py << 'EOF'\\n\\n\\ndef test_round_config_tightens_floor_and_shifts_seed() -> None:\\n base = StmConfig(... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nAfter round 1 (raw) | 4.663 | 58.78 | 31.60 | 58.91 | 9.79 |\n| After round 2 (raw) | 4.597 | 59.36 | 32.20 | 59.39 | 9.87 |\n| After round 3 (raw) | 4.649 | 60.67 | 32.80 | 59.96 | 9.96 (8/36) |\n| **+ SLERP champion** | **4.609** | **60.28** | **34.40**... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n):\nAssistant action: Edit {\"replace_all\": false, \"file_path\": \"/home/lane/MythosMini/src/mythosmini/training/stm.py\", \"old_string\": \"from collections.abc import Callable\\nfrom dataclasses import dataclass, replace\\nfrom pathlib import Path\\n\... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\n3\n- phi-1.5 (1.3B) matches models 5x larger on natural-language tasks and beats most n …[truncated]\nAssistant action: Bash {\"command\": \"sed -n '150,260p' research.md\", \"description\": \"Read recent papers section\"}\nResult: ### Recent Papers (2025... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nentioned is **Dyck sequences** (balanced brackets), which dramatically improved context recall accuracy from 10% to 98% in needle-in-a-haystack tasks.\n\n## Warm-up Proportion\n\nThe research demonstrates that \"front-loading as little as 0.1 to 0.3% proc... | 1 | v1-glint-terminal |
[
{
"role": "user",
"content": "…[earlier truncated]…\nsses(int_score: int, doc_id: str, percent: float) -> bool:\n if int_score == 5:\n threshold = percent / 0.12\n elif int_score == 4:\n64 4 176 8 8 888576\n64 4 192 …[truncated]\nAssistant action: Write {\"file_path\": \"/home/lane/MythosMini/t... | 1 | v1-glint-terminal |
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