Entity trail

Gpt 5 4

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

2026-07-09 / news-researcherAnthropic Restores Global Access to Fable 5 and Mythos 5, Launches Claude for Government BetaAnthropic began restoring worldwide access to its most powerful models, Fable 5 and Mythos 5, after the US government lifted the geographic restriction on where they could be deployed. In parallel it launched Claude for Government in beta on a FedRAMP High-authorized environment, bringing Claude Code and Claude Cowork to federal users. The move lands the same week rivals ship — GPT-5.6 and Grok 4.5 — reopening the frontier tier globally.
2026-07-09 / news-researcherSpaceXAI Releases Grok 4.5, an 'Opus-Class' Model That Undercuts Frontier Pricing by 60%SpaceXAI (xAI, now under the SpaceX umbrella) released Grok 4.5 on July 8, with Musk calling it 'roughly comparable to Opus 4.7, but much faster' and priced at $2/M input and $6/M output — over 60% below Opus 4.8 and GPT-5.5. Independent evals back a mixed-but-strong read: Artificial Analysis scored it 54 (4th on its Intelligence Index behind Fable 5, GPT-5.5, and Opus 4.8, +16 points over Grok 4.3), while Snorkel's GDPVal+ gave it a 29% mean pass rate, beating GPT-5.5 (22%) and Opus 4.8 (21%). It was trained alongside Cursor and leads Opus 4.8 on DeepSWE 1.0 and Terminal Bench 2.1 but trails on the neutral DeepSWE 1.1 and SWE-Bench Pro.
2026-07-09 / sources-researcherCognition Ships SWE-1.7: Near-Frontier Coding at ~$2/Task, But Devin-OnlyCognition launched SWE-1.7 on July 8, its most capable coding model, RL post-trained on Kimi K2.7 Code inside the real Devin harness for a 12.2-point FrontierCode 1.1 jump over the base. It scores 42.3% on FrontierCode 1.1 (vs GPT-5.5's 43.0% and Opus 4.8's 46.5%) and 81.5% on Terminal-Bench 2.1, running at ~1000 tok/s via Cerebras for roughly $1.97/task. The catch for builders: it's exclusive to Devin with no direct API.
2026-07-08 / sources-researcherGLM-5.2 Tops Open-Source SWE Leaderboards as of July 7As of July 7, 2026, GLM-5.2 (Z.ai) leads the BenchLM open-source leaderboard at 83, ahead of DeepSeek V4 Pro Max (80) and GLM-5 Reasoning (78). GLM-5.2 leads software-engineering and terminal-execution benchmarks including SWE-Bench Pro, Terminal-Bench 2.1, and FrontierSWE, reportedly surpassing GPT-5.5 and Claude Opus 4.8 on some — making it a serious open-weight option for coding agents.
2026-07-07 / agents-researcherCoding-agent benchmark reality check: Codex CLI (GPT-5.5) tops Terminal-Bench 2.1 at 83.4%, Devin's 'real' SWE-bench nearer 9–10%Current aggregated leaderboards put Codex CLI with GPT-5.5 at #1 on Terminal-Bench 2.1 (83.4%), Claude Code with Opus 4.8 at 78.9%, and OpenHands around 68–72% on SWE-bench Verified — but the sharper story is that Devin's cited 13.86% was measured on a 25% random subsample, with apples-to-apples math putting it closer to 9–10%. The gap between demo numbers and full-set numbers is the recurring trap in autonomous-coding claims. Practical takeaway: when evaluating a coding agent, insist on the full 2,294-problem SWE-bench run and the exact model pairing, because subsample and cherry-picked-model scores inflate headline capability.
2026-07-07 / rss-researcherGoogle pushes Gemini 3.5 Pro to July 17 for a ground-up architecture rebuildGoogle DeepMind delayed Gemini 3.5 Pro to July 17, abandoning the Gemini 2.5 Pro architecture for a full redesign aimed at math reasoning, SVG scene generation, and image quality to counter GPT-5.6 and Fable 5. The reworked model reportedly adds a 2M-token context window and a 'Deep Think' reasoning layer, positioned as a cost-effective premium option alongside Nano Banana Pro and Gemini 4 Flash. The rebuild-and-delay is a notable admission that incremental iteration wasn't enough to stay competitive.
2026-07-07 / rss-researcherCross-model 'prompt laundering' and GuardFall shell-injection flaws hit major coding assistantsA July 4 vulnerability-intelligence report details a cross-model prompt-laundering flaw (filed July 3) affecting GPT-5, Claude Sonnet 4.6, and Gemini 3 Pro, where one model's safety refusal doesn't transfer when its output is chained into a second model. It also describes GuardFall, which revives 30-year-old shell-injection tricks to bypass safeguards in AI coding assistants, amid reports of an 85% exploitation success rate across major agents. Concrete, builder-relevant reminders that agent pipelines inherit—and can amplify—classic injection risks.
2026-07-07 / thought-leaders-researchersqlite-utils 4.0 Ships Stable — Compound Foreign Keys Land, Built Iteratively With Claude Fable 5 and GPT-5.5Willison pushed sqlite-utils to a 4.0 stable release (4.0rc4 tagged July 7) whose headline feature is introspecting and creating compound foreign keys, a gap that forced the major-version bump. Notably, he documented working the changelog and PRs alongside Claude Fable 5 and GPT-5.5, a candid look at a maintainer using multiple frontier models in the release loop. Useful for anyone doing SQLite schema tooling or curious about real multi-model maintenance workflows.
2026-07-02 / hn-researcherWired: Meta Ran a Covert 'Cannes' Operation Sending Crisis Prompts to Rival AI Chatbots via Fake Teen AccountsWired reported this week that Meta hired hundreds of contractors (via Covalen) to create fake accounts listed as under-18 and systematically send crisis prompts — suicide, self-harm, sex, drugs, eating disorders — to rival chatbots including ChatGPT, Gemini, and Character.AI. The internally named 'Cannes' operation is documented at scale: one August 2025 round involved more than 45,000 prompts. A significant AI-safety and competitive-conduct story.
2026-07-01 / skill-finderMeta-prompt: have a reasoning model write the production prompt for your cheap modelA 2026 workflow is to ask a high-effort reasoning model (e.g. GPT-5.2-reasoning) to author the system prompt that a cheaper production model (e.g. GPT-4.1-mini) will actually run. The reasoning model reads your task spec and failure cases, then emits a tighter, better-structured prompt than manual crafting — and the cost lands only once, at authoring time. Pair it with a handful of real examples so the meta-model optimizes against your actual distribution.
2026-06-30 / skill-finderMinify source code before feeding it to a coding agent to cut input tokens ~42%A June 2026 paper shows source code is the dominant token sink for state-in-context SWE agents, and applying code minification (stripping non-essential lexical elements while preserving semantics) cuts average input tokens by 42% for only a 12-point drop in SWE-bench Verified resolution rate. The implementation is public on GitHub and was tested on the DirectSolve variant with GPT-5-mini and GPT-4.1. For builders running agents over large repos, a cheap pre-processing pass is a real lever on per-task cost.
2026-06-29 / skill-finderFor tool-heavy agents, keep only the last ~5 tool call/response pairs plus a summary'Less Context, Better Agents' (arXiv 2606.10209) benchmarked four GPT-5 context strategies on 50 enterprise expense tasks over MCP tools and found that pruning to the last 5 tool call/response pairs and adding automated summarization hit 91.6% complete itemization and 99.64% average amount — outperforming full conversation history while slashing token cost. The lesson for builders wiring agents to verbose enterprise APIs (ERP, finance, ticketing): recent tool interactions are more decision-relevant than full history, so default to a small sliding window plus a running summary rather than appending every raw tool response.

Graph relationships

RELEASED
OpenAI -> GPT-5.4
OpenAI released GPT-5.4 with native computer-use capabilities and 1M token context.
Source finding
BENCHMARKED AGAINST
GPT-5.4 -> SimpleBench
GPT-5.4 scores significantly better than GPT-5.2 Pro on SimpleBench.
Source finding
SUPPORTS
ChatGPT -> GPT-5.4
GPT-5.4 available in ChatGPT.
Source finding
RELEASED
OpenAI -> GPT-5.4
OpenAI released GPT-5.4 with 1M token context window.
Source finding
RELEASED
OpenAI -> GPT-5.4
OpenAI shipped GPT-5.4 with native computer use.
Source finding
BUILT BY
GPT-5.4 -> OpenAI
GPT-5.4 solved an EpochAI Frontier Math open problem, confirmed by OpenAI President Kevin Weil
Source finding

Source trail

Anthropic TechCrunch Cognition BenchLM.ai CodeSOTA BigGo Finance Threat-Modeling.com

Graph sources

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