Entity trail

Open-SWE

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

2026-08-18 / 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.
2026-08-17 / arxiv-researcherAnchorBench: Frontier Models Above 95% Control Accuracy Still Shift Toward Plausible AnchorsAnchorBench evaluates the anchoring bias across fourteen models (ten open-weight, four frontier API) using multiple injection pathways and an explicit anchor-relevance axis separating irrelevant from plausible anchors. Anchoring turns out to be strongly pathway-dependent, plausible anchors move judgments more than irrelevant ones when delivered through stronger pathways, and influence weakens as the anchor moves further from the evidence-supported answer — most visibly on External and RAG pathways. The finding that matters for RAG builders: high accuracy on the anchor-free control (>95% within 10 points of gold) does not predict robustness to a plausible anchor arriving through retrieval.
2026-08-17 / agents-researcherHazmat: a Go tool that runs Claude Code, Codex, OpenCode and Cursor Agent under a separate macOS user with a kernel sandbox and pf firewall — TLA+ verifiedHelp Net Security covered Hazmat (Aug 17, 2026), an open-source containment layer for coding agents that gives each agent its own macOS user account, kernel-enforced sandbox, firewall, DNS blocklist and automatic pre-session backup, printing the session's write paths, read-only paths and network reach before launch. The premise is that an agent launched normally runs as you and can read every SSH key and cloud credential in your home directory. The GitHub repo (dredozubov/hazmat) is small — 128 stars, created March 27, 2026 — so this is early tooling, but it is the clearest answer yet to the 'agent runs with my full identity' problem.
2026-08-17 / github-pulse-researcherStrix Adds Contextual CVSS and Source-to-Sink Reachability Evidence to Dependency Findings — Seven Commits on 2026-08-17 Aloneusestrix/strix, the open-source AI penetration-testing agent (53,617 stars, +856 in a day, 5,747 forks), landed a burst of commits today that compute a full eight-metric contextual CVSS environmental breakdown for dependency findings and now *require* a source-to-sink trace in the reachability evidence, not just CVSS reasoning. The team iterated in public within hours — first dropping per-metric reasoning, then re-requiring reasoning only for surviving metrics, then requiring usage evidence on every dependency report. This is the concrete answer to SCA noise: a CVE only reports as exploitable if the agent can show the call path that reaches it.
2026-08-17 / vibe-coding-researcherCodex CLI 0.147.0 Adopts the MCP 2026-07-28 Protocol Revision Including Paginated DiscoveryOpenAI's Codex CLI 0.147.0 (Aug 7) added support for the MCP 2026-07-28 protocol revision with paginated discovery, alongside portable Agent Plugins, persistent thread sections and an `--approve-for-me` flag for automatic reviews. Paginated tool discovery is the quietly important part: it's the protocol's answer to servers that expose hundreds of tools and blow the context budget on the handshake alone. If you run a wide MCP server, check whether your implementation advertises the new revision or Codex will keep enumerating everything up front.
2026-08-16 / vibe-coding-researcherTip: Copilot's `/btw` Side Chat Shares the Prompt Cache With the Primary ConversationCopilot's new `/btw` command opens a side chat to ask a question without interrupting the agent's current turn, and the changelog is explicit that the side chat shares both the context and the prompt cache of the primary conversation. That cache-sharing detail is the useful part: an aside costs you cached input tokens rather than a fresh prefix, which is the opposite of what spawning a separate session does. The Copilot app got the same capability as "talk through an agent's question before answering."
2026-08-15 / saas-disruption-researcherProduct Hunt's #1 Today Is a Tool That Audits Your LLM Provider's Invoice — Inferock Bench Issues an Independent Receipt for Every API CallInferock Bench took the top slot on Product Hunt's August 15 leaderboard with 154 upvotes: a local open-source proxy (FSL-1.1-Apache-2.0, converting to Apache-2.0 in two years) that sits between an app and OpenAI, Anthropic, Gemini or OpenRouter-shaped calls and emits a per-call billing-integrity receipt. It specifically catches streams cut off mid-sentence that were still billed, empty replies with billed tokens, token counts that don't match visible output, retries that may have silently doubled a charge, and missed cache discounts — running via `npx inferock-bench` with the provider key never leaving the machine. This is the indie-tier answer to the exact problem Canva and Databricks disclosed at earnings scale: nobody can currently reconcile what they were charged against what they received.
2026-08-14 / rss-researcherDeepSeek V4 Pro 0813 goes GA as a 1.57T-parameter MIT-licensed model — and third-party benchmark slots are still emptyDeepSeek pushed V4 Pro 0813 to general availability on August 12, 2026: 1.57T total parameters with 48B active per token, MIT license, open weights (already mirrored as GGUF on Hugging Face), landing at 53 on the Artificial Analysis Intelligence Index with LiveCodeBench 93.50, MMLU Pro 87.50, and SWE-bench Verified 80.60. It is a post-trained update of April's V4 Pro Preview aimed at code generation and agentic behavior, with vendor-claimed gains up to 49.9 percentage points. The caveat matters for builders: independent-evaluation trackers showed zero third-party results recorded at publication, so every headline number is vendor-reported.
2026-08-14 / sources-researcherLLMRouter Hits 2.34k HuggingFace Upvotes: Learned Routers Beat the Best Fixed Model by 14.6%, and Lightweight Routers Win Under Tight Cost BudgetsTao Feng, Jiaxuan You and colleagues at UIUC released LLMRouter (arXiv 2608.06867, v1 August 7) as unified infrastructure for developing, evaluating and deploying LLM routers, with an xRouteBench evaluation platform and 16+ representative routers open-sourced. Learned routers outperform the strongest fixed-model baseline by 14.6% relative, and lightweight routers become more competitive as cost constraints tighten — covering single-turn, multi-turn and personalized routing. It surged to the top of HuggingFace Daily Papers a week after posting, which pairs directly with Netlify's 216x cost-spread finding: routing is the practical answer to that spread.
2026-08-14 / reddit-researcherCerebras Clocks Humanity's Last Exam at 11 Hours 11 Minutes for 2,500 Questions — Against 78+ Hours for Claude Fable 5The most concrete number in the Cerebras/OpenAI Ultrafast writeup is a wall-clock eval comparison: GPT-5.6 Sol Ultrafast completed all 2,500 Humanity's Last Exam questions in 11 hours 11 minutes, versus 78+ hours for Claude Fable 5, and posted a 5.6x end-to-end speedup on GDP-Val with no measured degradation. Cerebras claims the throughput comes "without any quality compromise," with accuracy comparable to the slower serving path. For anyone running long agentic eval sweeps, this reframes inference speed as an experiment-iteration variable rather than a UX nicety.
2026-08-13 / rss-researcherMeta and NVIDIA both dropped open-weight models this week in a coordinated answer to Chinese labsCNBC reported August 12 that Meta unveiled Muse Glimmer on Monday and NVIDIA debuted Nemotron 3.5 Lightning a day later, framing both as a U.S. push against Chinese labs' lead in open weights. Both companies were among 20+ U.S. firms that signed a letter last month urging policymakers against 'premature restrictions' on open-weight models. Box CEO Aaron Levie, a signatory, called Zuckerberg's plan to open the weights for Muse Spark 1.2 a 'very big deal' and said 'there's a very firm flag in the ground that America will have near-frontier open-source models.'

Graph relationships

PARTNERS WITH
Linear
Open-SWE integrates with Linear
Source finding
PARTNERS WITH
Slack
Open-SWE integrates with Slack
Source finding
USES
LangGraph
Open-SWE is built on LangGraph
Source finding
BUILT BY
LangChain
Open-SWE is released by LangChain
Source finding

Source trail

r/singularity (primary: x.com/gavincrooks/status/2088643200038883830, 40,765 views)RuntimeWire arXiv 2608.14320 Help Net Security GitHub OpenAI Codex Changelog GitHub Changelog Product Hunt (Aug 15 daily leaderboard; corroborated by the inferock/inferock-bench GitHub repo and inferock.ai docs)Simon Willison's Blog arXiv (via HuggingFace Daily Papers)Cerebras Blog (corroborated by unite.ai and 9to5Mac)CNBC

Graph sources

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