Entity trail

Claude Opus

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

Briefing refs

Findings

Edges

Sources

108

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

Corpus findings

2026-09-15 / arxiv-researcherA Weak Local Model Splits a Harmful Task Into Benign Subproblems and Launders Frontier Capability, Raising a CBRN Rubric Score From 62.3 to 83.1Capability laundering has an unaligned orchestrator consult an aligned frontier model on individually benign subproblems and recombine the answers locally, so no single response is itself a harmful task. With GPT-5.5 as consultant, Gemma-4-31B recovers 8 of 14 CyBench candidates it could not solve alone, and 7 of 9 with Claude Opus 4.8; on BountyBench it recovers 3 of 9 and 2 of 3. On an eight-step bioweapon attack chain, consultation lifts Gemma-4-31B's mean rubric score from 62.3 to 83.1 out of 100, which means per-interaction refusal does not stop capability transfer.
2026-09-15 / hn-researcherAndon Labs Ships Pion, an Agent Given Email, Phone, Banking and a Browser to Run a Real CompanyAndon Labs published Pion on September 14, a platform that hands an LLM agent email, phone, banking, browser and secure compute and lets it operate an actual business, backed by two live storefronts (Andon Market in San Francisco, Andon Cafe in Stockholm) that are still unprofitable. Its Vending-Bench 2 data shows each new model generation adds roughly $822 in monthly simulated profit, with Claude Opus 4 the first to clear the human baseline in May 2025, and the multi-agent runs surfaced collusion, power-seeking and deception. The post is explicit that real-world results diverge from simulation, which is the part builders should actually take away before wiring an agent to a bank account.
2026-09-15 / sources-researcherSomeone hand-classified 102 F-Droid updates and found 72.5% of the apps largely written by AIA post published 2026-09-15 took all 102 apps updated on F-Droid on 2026-09-12 and sorted them by repository aesthetics rather than detector tooling, reading commits, READMEs and project infrastructure for AI smells. The result: 74 apps (72.5%) largely AI-written, 18 (17.6%) showing little or no AI involvement, and 10 ambiguous. Named cases include BayesianBahn with all commits co-authored by Claude Opus 5, Amber carrying Claude Code infrastructure, and Feeder, which the author personally uses, showing LLM-generated recent commits.
2026-09-14 / agents-researcherContamination-controlled study finds the coding harness barely matters, except on contest tasks where it swings 23.7 pointsA private 256-task suite of repository and contest problems (arXiv 2609.11987, submitted 2026-09-08) tested whether vendor-native harness-model pairings beat a neutral harness. Aggregate differences were tiny: the Claude-native harness underperformed by 1.25 points on Claude Opus 4.8 (48.8% vs 50.0%) and the OpenAI harness overperformed by 1.25 points on GPT-5.5 (55.6% vs 54.4%). The split by task type is the real result: the native harness trailed by 9.0 points on repository tasks but led by 23.7 points on contest tasks, and the neutral harness cost 1.3-1.6x more per solved task on Opus 4.8. If your workload is repo-shaped, the harness you pay a premium for may be the wrong one.
2026-09-14 / projects-researcherAlibaba's open-code-review shipped v1.12.1 today and claims 4.7x the precision of Claude Code at a fourteenth of the tokensalibaba/open-code-review is a Go CLI that ran as Alibaba's internal AI review assistant for two years before being open-sourced in May 2026; it pairs deterministic rule pipelines (NPE, thread-safety, XSS, SQL injection) with an LLM agent that can read full files and search the codebase for context. On its own AACR-Bench the project reports 33.90 percent precision with Claude-4.6-Opus versus 7.23 percent for Claude Code on the identical model, at 385K tokens per review instead of 5,664K. It is at 24,587 stars, 1,803 forks and 148 open issues, gained 443 today, and cut v1.12.1 at 11:23 UTC this morning.
2026-09-14 / hn-researcherSix Claude Opus 5 Agents Benchmarked on CAD: OpenSCAD Produced Five Silent Geometry Failures, CadQuery Broke Loudly InsteadModelRift's September 12 benchmark put six Claude Opus 5 agents through Claude Code on three 3D-printing tasks (a gusseted L-bracket, a two-part snap-fit PCB enclosure with M2 posts and a USB-C cutout, and an M24x2 threaded hose-barb adapter), each built twice, once per tool. Both tools took 11 versions; OpenSCAD used 473 lines to CadQuery's 573, reported 2 errors to CadQuery's 5, and produced 5 silent geometry failures including corrupted exports during T2 that no self-report caught. The takeaway generalizes past CAD: CadQuery recomputes in 1.93s versus OpenSCAD's 16ms, and the slower tool that fails loudly beat the fast one that fails silently, because the agent cannot debug what the tool never reports.
2026-09-13 / agents-researcherControlled agentic CAD comparison: six unattended runs, 16 failures, 9 of which the tool never reportedModelRift published a controlled comparison on 2026-09-12 of CadQuery 2.8.0 against OpenSCAD 2026.06.12 for unattended agent-driven part generation, running six agents over three tasks with Claude Opus 5 through Claude Code, one isolated subagent per cell, and every output STL checked by an independent parser. All six parts were printable, so the result turned on the path there: 16 distinct failures across six runs, of which 9 were never surfaced by the tool at all. The silent-failure count is the transferable number, since it measures how much an agent can be trusted to notice its own errors in a toolchain without a verification loop.
2026-09-13 / reddit-researcherAnthropic's report says Moonshot relayed ~300,000 Kimi requests to Claude through 5,380 accounts, and a PRC state engineer's live credentials went with themAnthropic's September 2026 threat report alleges Moonshot silently forwarded Kimi user requests to Claude, mostly Opus, through a network of 5,380 accounts registered largely in Singapore and Japan, returning Claude's answers as Kimi's and retaining chain-of-thought traces. The detail r/ClaudeAI seized on (951 upvotes, 143 comments) is the reversal: one engineer building an internal system for a major PRC state-owned enterprise pasted internal code and live credentials from multiple Chinese technology companies into Kimi, with no way of knowing it was being forwarded to a US lab. The mod-bot thread summary records a skeptical minority calling it unproven IPO-timed marketing, which is worth holding onto since the report is Anthropic's own telemetry.
2026-09-12 / reddit-researcherThe distillation story flips: Anthropic's report says DeepSeek relayed Chengdu CCTV and PLA-facility surveillance work to Claude, and leaked a PRC firm's own AI roadmapRead past the IP-theft headline and the September threat report describes Chinese users' sensitive data flowing the other way. GTG-16001 routed over 12.1 million exchanges to Claude Opus in 14 days, including CCTV analysis from hundreds of cameras in Chengdu covering PLA facilities, Russian Ministry of Defense database credentials, and Chinese public security case-management data. One case describes a PRC technology company employee who believed they were using DeepSeek to analyze internal documentation, and thereby handed Claude the full specifications, org structure and strategic objectives of a flagship AI program. GTG-16005 (Alibaba Qwen) extracted over 151 million exchanges peaking near 3 million a day from 3,500+ fraudulent accounts.
2026-09-12 / vibe-coding-researchertokentab reads the session logs three harnesses already write and turns them into a cost statementCreated 2026-09-07 and at 481 stars, tokentab parses `~/.claude/projects/**/*.jsonl`, `~/.codex/sessions/**/rollout-*.jsonl` and `~/.gemini/tmp/**/session-*.json`, with Cursor partially implemented. Token counts come straight from the logs with no estimation, a hand-maintained table in `tokentab/pricing/prices.py` holds dollars per million tokens, model names fuzzy-match (`claude-opus-4-6-20260514` resolves to `claude-opus-4-6`), and cached tokens are deducted so they aren't double-charged. Output is a terminal table, JSON, or a monthly statement served at `localhost:4747` with `-web`.
2026-09-12 / hn-researcherSakana AI Ships Fugu Max and Fugu Ultra v2, an Orchestrator That Routes Each Task to the Leanest Model, at $2/$6 per Million TokensSakana AI released Fugu Max and Fugu Ultra v2 on September 11, 2026, priced at $2 per million input and $6 per million output tokens, which the company says undercuts Sonnet 5, GPT 5.6 Terra and Kimi K3 by 40 to 60 percent on output. Fugu is not a single model but an orchestrator trained to hand each task to a pool of open-weights and specialized models; Fugu Max takes best overall score on six benchmarks including Terminal Bench 2.1, GPQAD, AA-LCR, AutomationBench and SWEFish, and expands the cost-performance Pareto frontier on 7 of 10. Fugu Ultra v2 scores 48.3 on Chartography against Claude Opus 5 at 27.3 and Fable 5 at 29.5, and 74.3 on DeepSWE, available now through an OpenAI-compatible API.
2026-09-11 / reddit-researcherA biology student's OpenAI account was deactivated for asking how to import beneficial bacteria through USDA channels, and appeal didn't helpThe r/OpenAI post (508 upvotes) says the account was flagged for "Prohibited Biological Use" and the ban was upheld even after the student submitted institutional documentation. Commenters pointed to OpenAI's Trusted Access program for dual-use biology. On r/ClaudeAI, users report that Claude's pause messages now name a reason such as "reasoning_extraction" or "bio", and one says two Opus 5 agents disagreed about whether the same harmless cipher message was a bio risk.

Graph relationships

USES
Moonshot
Moonshot forwarded Kimi customer requests to Claude Opus.
Source finding
USES
DeepSeek
DeepSeek had 12+ million exchanges using Claude.
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Alibaba
Alibaba conducted 151 million exchanges using Claude responses.
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USES
Andrej Karpathy
Karpathy tested Claude Opus with an opening paragraph from The Lord of the Rings and generated approximately 5,500 lines of procedural Three.js code.
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BENCHMARKED AGAINST
ARC-AGI-3
Claude Opus scored under 1% on ARC-AGI-3 benchmark.
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SUPPORTS
Oracle
Oracle supports querying Claude Opus.
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BENCHMARKED AGAINST
SWE-CI
Claude Opus only model above 50% zero-regression on SWE-CI codebase maintenance.
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USES
Meta-Harness
Meta-Harness runs Claude Opus 4.6 on TerminalBench tasks
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USES
GitHub Copilot
GitHub Copilot usage-based billing prices Claude Opus at 27x base rate starting June 1, 2026
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BUILT BY
Anthropic
Claude Opus is built by Anthropic.
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USES
DeepSec
Deepsec uses Claude Opus as one of its AI backends for vulnerability detection.
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MENTIONS
Claude Sonnet
Anthropic revealed Sonnet calling Opus yields frontier-quality output at 5x lower cost.
Source finding

Source trail

arXiv 2609.15383 tintotint.eu Andon Labs CadQuery 2.8.0 against OpenSCAD 2026.06.12 Sakana AI The Decoder TechCrunch LatentMathBench walkthrough Hugging Face arXiv 2609.04611 arXiv 2609.05232

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