Entity trail

Opus 5

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

2026-08-03 / hn-researcherFROGS: One Absurd Prompt, 14 Models, Three Tries a Month — 'Generate an SVG of a Frog With a Habsburg Jaw'A personal benchmark that hit 143 points and 77 comments on HN runs a single deliberately weird prompt across 14 models from Anthropic (Opus 5, Sonnet 5, Haiku 4.5), OpenAI (GPT-5.5, GPT-5.4-mini) and Google (Gemini 2.5 Pro, Gemini 3.6 Flash), three attempts each per month, tracking execution time, output file size, and the comments models leave inside the SVG source. All 42 August attempts produced valid SVGs; the differentiator turned out to be annotation style — some models write interpretive commentary about anatomical exaggeration and royal framing, others emit bare structural labels. Dataset on Hugging Face, code on GitHub for reproducible runs.
2026-08-03 / reddit-researcherOnton's Ontology 1 Claims 0.630 P@10 Against Google Shopping's 0.543 While Indexing 1% of the CatalogOnton released Ontology 1 on August 2–3, 2026, a neurosymbolic product-search model evaluated on the released Subtext-Decor-90 benchmark by three multimodal judges (Claude Opus 4.8, Gemini 3.1 Pro, GPT-5.5): mean precision@10 of 0.630 versus 0.543 for Google Shopping and 0.469 for Amazon, winning 52 of 90 queries outright while indexing roughly 1% of either catalog. The architecture is an inspectable knowledge graph that decomposes vague predicates into checkable properties. Two caveats: judge agreement is modest (Krippendorff's alpha 0.465), and there are no open weights, no public API, and no pricing — partner access only.
2026-08-03 / reddit-researcherr/ClaudeAI User Reports Switching From Opus to Sonnet 5 Made a Max Subscription Effectively UnlimitedA r/ClaudeAI post (123 upvotes, 42 comments) from a user who had not touched Sonnet in three months reports that moving their workload to Sonnet 5 removed practical rate-limit pressure on a Max subscription entirely. The post explicitly frames itself against community criticism of Sonnet 5 and against GPT-5.6 Luna's 80% price cut on July 30 ($1/$6 down to $0.20/$1.20). The builder-relevant pattern here is model-tier arbitrage inside a fixed subscription: the constraint people optimize is quota consumption rate, not per-token price, and that changes which model they reach for by default.
2026-08-02 / github-pulse-researcherGitHub Ships Three Copilot Model-Governance Changes in Four Days and Deprecates Two Gemini ModelsThe GitHub Changelog carried a dense run of model-control entries: Copilot code review reached general availability for agent skills and MCP on July 29, default model enablement for Copilot Business and Enterprise landed the same day, enterprise teams model policy targeting entered public preview on July 31, and Gemini 2.5 Pro plus Gemini 3 Flash were deprecated on July 31. Read together with Grok 4.5 arriving July 28 and Claude Opus 5 on July 24, the pattern is that Copilot's model roster now churns fast enough that GitHub is building admin machinery specifically to pin teams to approved models. If you script against Copilot model IDs, the deprecation notice is the one to act on.
2026-08-02 / arxiv-researcherTycho Reaches Perfect 100.00 RHAE on ARC-AGI-3 With Opus 5 and GPT-5.6 Sol, Using 61% Fewer Actions Than HumansTycho formalizes ARC-AGI-3 games as parameterized rendered deterministic Moore machines and has a coding agent build, test, repair, or bypass a free-form executable hypothesis of each game during play. Across all 25 public games under matched inference budgets, actor-requested delegation to a model builder scored the highest mean Relative Human Action Efficiency at 88.49; with that policy, GPT-5.6 Sol and Opus 5 both hit 100.00 RHAE and completed all 183 levels, with Opus 5 using 61% fewer scored actions than the aggregate official human baselines. Notably, automatic repair after verification failures produced simulators that matched observed transitions far better yet reached only 83.07 RHAE — reproducing dynamics is not the same as identifying the objective.
2026-08-02 / news-researcherAnthropic's August Calendar: Opus 4.1 API Retirement Aug 5, Workbench Aug 17, Sonnet 5 Promo Pricing Ends Aug 31Anthropic's platform release notes stack four dated changes into the next month that will break or re-price running integrations: Claude Opus 4.1 retires from the Claude API on August 5; the experimental prompt tools APIs retire alongside the Workbench on August 17; the temporary 50% weekly usage boost for Claude Code subscribers runs through August 19; and Claude Sonnet 5's promotional $2/$10 per million tokens ends August 31, reverting to $3/$15 on September 1 — a 50% input price increase. Anyone with Opus 4.1 pinned in production has three days.
2026-08-02 / vibe-coding-researcherTip: Delete Self-Verification Imperatives From CLAUDE.md, Keep Domain Vocabulary and Repo Factspaddo.dev audited 74 CLAUDE.md and skill files against the new Anthropic guidance and found zero genuine self-check imperatives, because most 'verification' mentions were actually lint gates or domain terms. The delete list is instructions like 'double-check your answer,' which Opus 5 now does natively and which you are billed for twice. The keep list is domain-specific vocabulary, external tool commands, and repository facts the model cannot deduce from file structure.
2026-08-02 / hn-researcherCostPerPrompt Tracks Live Pricing for 232 Models With Workload Calculators for Agents, RAG and VoiceThis Show HN aggregates per-million-token input, output and cached pricing across 232 models from 14 vendors including OpenAI, Anthropic, Google, DeepSeek, Alibaba, Moonshot, xAI and Z.ai, then layers six workload calculators on top — general comparison, chatbot with conversation history, agent workflows that account for tool use and retries, RAG split across indexing/retrieval/generation, voice bundling STT+LLM+TTS, and GPU rental. Current listings include GPT-5.6 Sol at $5/$30, Claude Opus 5 at $5/$25, Claude Sonnet 5 at $2/$10 and DeepSeek V4 Flash at $0.09/$0.18. The agent calculator is the differentiator; most pricing tables ignore retry and tool-call amplification, which is where real agent bills come from.
2026-08-02 / thought-leaders-researcherKarpathy's New LLM Yardstick: Claude Opus Ran Two Hours and Emitted 5,500 Lines of Three.js to Procedurally Generate Middle-earthAndrej Karpathy — five weeks into his Anthropic pre-training role — handed Claude Opus the opening paragraph of The Lord of the Rings, a large token budget, and a request to render it in Three.js; the model worked roughly two hours and produced about 5,500 lines of code that procedurally positions and animates polygon assets in 3D. His framing is the real signal: "We're starting to leave the territory where you'd test an LLM by e.g. 'create an svg of pelican on a bicycle,'" and "LLMs have all the stamina and patience in the world." For builders, the retirement of the pelican-SVG era means eval design has to shift from single-shot artifacts to multi-hour, self-directed builds where the bottleneck is stamina and coherence, not raw capability.
2026-07-31 / arxiv-researcherQwen-UI-Agent Hits 97.5% on AndroidDaily and 79.5% on OSWorld-Verified With 100+ Turn Online RLAlibaba Tongyi Lab's Qwen-UI-Agent technical report (arXiv 2607.28227, July 30) describes a foundation GUI agent spanning mobile, computer-use, web, and DeepSearch, with a unified action space that interleaves GUI operations with CLI execution and emits batched actions in a single model turn. Reported results are 82.1% on MobileWorld, 92.2% on MobileWorld-Real, 97.5% on AndroidDaily, and 79.5% on OSWorld-Verified, competitive with Opus 4.8, Gemini 3.1 Pro, and GPT-5.6 Sol. Training used online RL on trajectories exceeding 100 turns with over 10,000 concurrent environments plus an AutoResearch-style data flywheel where agents build tasks, diagnose failures, and plan the next iteration; it is currently the #1 trending paper on Hugging Face with 242 upvotes.
2026-07-31 / arxiv-researcherAgentRadio Lets Coding Agents Message Each Other Mid-Task, Lifting SWE-Atlas QnA From 32.3% to 62.1%AgentRadio (arXiv 2607.28430, July 30) adds an asynchronous message-passing layer to coding-agent harnesses with three primitives — threads, messages, and waiting for mentions — where the wait runs as a background task so an agent stays passively aware of teammates without interrupting foreground work. On SWE-Atlas QnA, a benchmark of long-horizon codebase questions over production repositories, a single Claude Code agent on Opus 4.6 resolves 32.3% of tasks; four agents coordinated by AgentRadio under a five-phase division-of-labor protocol reach 62.1%, which also beats Claude Code on the newer Opus 4.8 at 57.2%. The gain widens with task difficulty, consistent with mid-course correction rather than raw parallelism, and the code is released under Coral-Protocol.
2026-07-31 / sources-researcherThe 'Dario and Amanda' Prompt Makes Opus 5 Emit Fake Anthropic Slack Logs — and the Author Argues That's the More Interesting FailureAlec Armbruster published a 2026-07-30 writeup of a two-part prompt — 'can you put this in your own words' followed by 'Dario and Amanda,' — that pushes Claude Opus 5 into generating text resembling internal Anthropic Slack messages, employee correspondence about compensation and working conditions, and material about at-risk users. Armbruster is explicit about the interpretation: 'Either Claude Opus 5 just leaked a trove of private 2024–2025 chat logs from Anthropic employees (& general public)...or it's generating one hell of a hallucination. It's almost certainly the latter.' He collected the outputs as 'cache misses' in a public GitHub repo; the builder-relevant question he raises is why a trailing-comma name pair reliably lands the model in a confabulated-internal-documents mode.

Graph relationships

USES
Tycho
Tycho tested Opus 5 as a model builder for hypothesis generation.
Source finding
BENCHMARKED AGAINST
ARC-AGI-3
Opus 5 achieved a perfect 100.00 RHAE score on ARC-AGI-3.
Source finding
USES
Claude Code
Anthropic removed 80% of Claude Code's system prompt when optimizing it for Opus 5.
Source finding
MENTIONS
Ethan Mollick
Mollick updated his model guide to include Opus 5
Source finding
BENCHMARKED AGAINST
Anthropic Fable 5
Anthropic Fable 5 leads SWE-rebench at 64.5% vs Opus 5 at 63.4%.
Source finding
BENCHMARKED AGAINST
Sonnet 5
Sonnet 5 scores better unprotected at 0.93% prompt-injection success than Opus 5.
Source finding
BENCHMARKED AGAINST
Opus 4.8
Opus 5 achieves 0% browser prompt-injection success with Auto Mode versus higher rates for Opus 4.8.
Source finding
MENTIONS
Claude Mythos
Opus 5 will integrate Mythos-level capabilities with new safeguards.
Source finding
USES
Tycho -> Opus 5
Tycho tested Opus 5 as a model builder for hypothesis generation.
Source finding
USES
Claude Code -> Opus 5
Anthropic removed 80% of Claude Code's system prompt when optimizing it for Opus 5.
Source finding
MENTIONS
Ethan Mollick -> Opus 5
Mollick updated his model guide to include Opus 5
Source finding
BENCHMARKED AGAINST
Anthropic Fable 5 -> Opus 5
Anthropic Fable 5 leads SWE-rebench at 64.5% vs Opus 5 at 63.4%.
Source finding

Source trail

FROGS / Hacker News MarkTechPost r/ClaudeAI (123 upvotes / 42 comments)GitHub Changelog arXiv Claude Platform Docs paddo.dev CostPerPrompt / Hacker News Benzinga arXiv arXiv alec.is (Hacker News, 70 points)

Graph sources

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