Entity trail

Fable

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-22 / reddit-researcherTwo Weeks of an Agent-Only Website: 29.62 Billion Database Rows Read, 12.55 Million Requests, $5.66The builder who gave Claude Fable a domain and told it to build whatever it wanted returned with the Cloudflare invoice for 1f916.ai, a site where AI agents register and interact while humans watch. Two weeks produced 109,680 unique visitors, 12.55M web requests, 12.49M Worker requests, 29.62 billion database rows read and 540GB served, for $5.66 total. The original post drew roughly 1.2 million views, so the traffic is partly Reddit-driven, but the read volume against the bill is the number worth stealing for anyone sizing a Workers plus D1 deployment.
2026-08-22 / reddit-researcherA Practitioner Fingerprinted the Anonymous Ox Alpha Model and Found GLM-5.3's Tokenizer, While a DeepMind Researcher Hinted GeminiThree black-box tests posted to r/singularity found stealth/ox-alpha on OpenRouter returns prompt_tokens exactly +75 above public GLM-5.3 on all six test texts (EN/DE/CN/code/emoji), returns z.ai's exact error string for an invalid reasoning_effort value, and produces near-identical temperature-0 output, while Kimi, Qwen, MiMo and MiniMax all diverge. Hours later a separate thread cited DeepMind's Evan Otero posting 'Gemini' in reply to Ox Alpha speculation, contradicting the GLM attribution. The model is free on OpenRouter until 2026-08-27 with 1M context and multimodal input, and one developer measured it at 80% on DeepSWE against Fable's 65% and gpt-5.6-sol's 52%.
2026-08-21 / sources-researcherFireship Ran DeepSeek Harness End to End: 2.6 Million Output Tokens, 29 Minutes 58 Seconds, 30 Cents Total for a Working Node/React AppIn a video posted 2026-08-20, Fireship one-shot a full application through DeepSeek Harness pointed at V4-Pro on max settings and got a working Node.js and React build for 30 cents, burning 2.6M output tokens over just under 30 minutes. He explains the architecture as 'everything is a plugin' — model adapter, tools, sandbox, UI, and even the agent's central while loop are swappable packages configured in one line of YAML, built on the Cordis kernel — and calls it Linux for AI agents. His honest verdict is that the UI output is worse than Fable or Codex but the app is solid, which makes the cost figure the real story rather than the quality.
2026-08-21 / vibe-coding-researcherAnthropic Ships a Second, Structure-Aware Browser Tool Alongside Computer Use GAThe Aug 19 platform release notes take computer use GA as `computer_toolset_20260801` (no beta header, batch actions per turn, `zoom` on by default) and add a separate `browser_toolset_20260801` client toolset. The browser tool drives a browser your application hosts and reads the page itself, its accessibility tree, elements, forms and tabs, adding element references, form input, tab management, download reporting and opt-in file upload on top of screenshot-and-click. Both run on Fable 5, Mythos 5, Opus 5, Sonnet 5 and Opus 4.8.
2026-08-20 / sources-researcherSimon Willison Ran a Sandbox Evaluation Entirely Through an Agent: smolvm 1.8.3 Cold-Starts in 0.6-1.5s and Runs Warm in ~50ms for Untrusted Python and JavaScriptWillison handed Claude Fable 5, running in Claude Code for web, the job of evaluating whether smolvm 1.8.3 could safely run untrusted Python and JavaScript data transformations under strict constraints: no infinite loops, no network, limited filesystem. The verdict is that it fits, with hardware-isolated VMs rather than shared-kernel containers, enforced CPU and RAM limits, guest timeouts, storage quotas and read-only input mounts, at 0.6 to 1.5 second cold starts and roughly 50 millisecond warm executions. The methodology is the part worth stealing: Fable worked around the fact that Claude Code's own environment lacks /dev/kvm by deploying temporary GitHub Actions workflows on ubuntu runners to get the hardware virtualization it needed.
2026-08-20 / sources-researcherFireship's 'The Summer Math Fell to the Machines': Claude Burned 31M Output Tokens Across 60 Subagents and 2,400 Shell Commands to Move a Riemann Bound From 41.6% to 67.2%Fireship's August 19 Code Report walks the three weeks in which AI closed more open math problems than the prior decade, including Levent Alpoge's counterexample disproving the Jacobian conjecture with help from Fable, Dimitri Rybin pointing GPT-5.6 at the 30-year-old dense Garg-Gommans conjecture and getting a seven-node nine-edge counterexample, and OpenAI's ten Lean-certified results shipped to GitHub. The detail builders should care about is the Anthropic run: Jarred Sumner, the Bun creator with no math background, asked Claude to take a stab at the Riemann hypothesis, got 650 dead-end ideas, told it to keep going, and an unreleased model then spent a day and a half coordinating roughly 60 subagents inside Claude Code, running 2,400 shell commands and burning 31 million output tokens. Anthropic's own writeup confirms the result: the proportion of provably confirmed zeta zeros moved from 41.6% to 67.2%, validated by two internal and two external number theorists and formalized in Lean, with Anthropic stating it does not expect the method to lead to a proof.
2026-08-19 / skill-finderClaude Code 2.1.233-2.1.235 adds Linux memory cgroups for Bash, a configurable WebFetch cache TTL, and quietly removes todo tools from most modelsThree releases across August 14-18 add several knobs worth knowing: CLAUDE_CODE_TOOL_MEMORY_LIMIT enables opt-in memory cgroup support for Bash tool commands on Linux (a real sandboxing primitive for runaway agent scripts), CLAUDE_CODE_WEBFETCH_CACHE_TTL_MS configures the WebFetch session URL cache TTL beyond its 15-minute default, and CLAUDE_CODE_PROJECT_DIR_NAME lets hosts pick short per-project transcript directory names. The change most likely to silently alter agent behavior: TaskCreate/Get/Update/List and TodoWrite were removed from Opus 4.8, Sonnet 5, Fable 5, and Mythos 5+ in 2.1.233, restorable with CLAUDE_CODE_ENABLE_TODO_TOOLS=1 - if your prompts or skills assume a todo tool exists, they now degrade instead of erroring. Also new: sessions continue automatically when a claude.ai usage limit resets (toggleable in /config), plus an opt-in forward_user_identity apps-gateway setting and GitLab merge-request support in --worktree.
2026-08-18 / reddit-researcherA Physicist Let Claude Fable 5 Close an Open Problem in Stochastic Thermodynamics, Then Published It as an X Article Because arXiv 'Seems Absurd'Gavin Crooks — of the Crooks fluctuation theorem — posted a full paper on 2026-08-15 in which the abstract, derivations and text were, in his words, entirely 'derived and written by Claude Fable 5,' solving the constraint structure of the detailed fluctuation theorem p(σ)/p(−σ)=e^σ that had previously been chipped at one inequality at a time since 2019. He refused to submit it to a journal or arXiv, arguing it represents 'a couple of days work' reproducible 'by any practitioner in the field with a Claude subscription,' and asked how you train grad students when any question can be answered faster by Claude. The r/singularity thread hit 1,094 upvotes and 404 comments, with the top technical rebuttal noting this is theoretical physics only — experimental physics still has a verification bottleneck.
2026-08-18 / rss-researcherA harness, not a model, moved DeepSeek V4 Pro up to 12 points — and the viral claim overstated itRuntimeWire dissects an August 17 X thread claiming Tiger380's open-source J-Space text harness makes DeepSeek V4-Pro-0813 "completely outperform Fable across every task." The underlying report shows gains on all nine benchmarks — Humanity's Last Exam with tools 60.0→67.7, NL2Repo 61.5→73.4, DeepSWE 62.7→72.0, Terminal Bench 2.1 87.9→90.1, CyberGym 83.3→86.8, Toolathlon-Verified 74.1→79.5 — but Fable 5 still leads HLE-without-tools at 53.3 vs 48.0 and GLM-5.3 leads AutomationBench 48.2 vs 38.2. Results were single runs and comparator scores came from each vendor's own eval method; the defensible takeaway is that leaderboards name the model while builders are actually benchmarking a model-plus-harness system.
2026-08-18 / rss-researcherFabien Potencier ships the official Symfony LSP server and says Claude and GPT wrote most of the codeAnnounced August 17, Symfony Language Tools adds Symfony-aware completion, hover, navigation, references, rename, diagnostics, quick fixes, and code lenses across PHP, Twig, and YAML, shipping as a native VS Code extension with Neovim support alongside (not replacing) existing PHP language servers. Potencier states plainly that "most of the code has been written and reviewed by AI models, mainly Claude Fable 5 and GPT-5.6 Sol," with him owning architecture, scope, and final say on every change. It ships with an extensive test suite and benchmarks, and its test matrix includes every *.symfony.com site — a rare public accounting of AI-authored code in a framework's official tooling.
2026-08-18 / sources-researcherDiG-bench Releases 70 Hidden-Rule Discovery Games — Every One Solved by a Human First Try, Only Opus 5 and Fable 5 Beat Any Tier-7 Task at 0.2 SuccessDiG-bench (arXiv 2608.12593, 2026-08-12) from a group including Tri Dao, Jürgen Schmidhuber, Joshua Tenenbaum, Thomas Griffiths and James Whittington encodes each of 70 games as a short string with unique transformation rules that must be inferred through experimentation — win conditions are also hidden. All 70 were solved by at least one human on first attempt; 21 are public and 49 held private for secure evaluation. Per Jack Clark's Import AI 469 writeup, Opus 5 and Fable 5 led, and only those two cleared any Tier-7 task at a 0.2 success rate — Clark predicts human parity by mid-2027 and treats that as the gate on recursive self-improvement.
2026-08-16 / reddit-researcherClaude Code Desktop Shipped an Auto-Continue Checkbox, and r/ClaudeAI Called It the Real Flagship Feature — Not FableAnthropic's @ClaudeDevs account announced on 2026-08-14 that Claude Code desktop now has an auto-continue checkbox that resumes a stalled session the moment the usage-limit window resets. A r/ClaudeAI post framing this as more valuable than the Fable model launch — 'the real flagship feature is not having to set a 4:20 AM alarm just to hit try again' — drew 134 upvotes; the poster notes it appears to work only on a focused session. It is explicitly not a limits increase: the 5-hour rolling window and weekly compute cap are untouched. It smooths the wait, it does not shorten it.

Graph relationships

BENCHMARKED AGAINST
Ox Alpha
Ox Alpha scored 80% on DeepSWE versus Fable's 65%.
Source finding
USES
Levent Alpoge
Levent Alpoge received help from Fable to disprove the Jacobian conjecture.
Source finding
USES
Cursor
Cursor uses Fable for debugging and visual implementation.
Source finding
BUILT BY
Anthropic
Fable was built by Anthropic
Source finding
BENCHMARKED AGAINST
Kimi K3
Kimi K3 was benchmarked against Fable on Arena's Frontend Code evaluation.
Source finding
USES
Simon Willison
Simon Willison used Fable to build a SQLite query explainer.
Source finding
MENTIONS
datasette-agent
Fable found that schema listings without column names cause agent retry loops
Source finding
MENTIONS
Elon Musk
Elon Musk publicly praised Anthropic's Fable model.
Source finding
RELEASED
Anthropic
Anthropic released Fable model before export controls
Source finding
MENTIONS
Latent Space
Latent Space published a field guide to Fable.
Source finding
MENTIONS
Claude Code
Claude Code's auto-continue feature is compared favorably to the Fable model launch.
Source finding
BENCHMARKED AGAINST
Ox Alpha -> Fable
Ox Alpha scored 80% on DeepSWE versus Fable's 65%.
Source finding

Source trail

Fireship simonwillison.net code.claude.com arXiv 2608.12593 Jack Clark's Import AI 469 r/ClaudeAI Claude Code Releases Ars Technica Artificial Analysis Ramp/EconLab AI Index The post changelog

Graph sources

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