Entity trail

GPT-5-mini

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 / thought-leaders-researcherOpenAI Ships GPT-5.6 (Sol/Terra/Luna) to Everyone July 9 and Unveils GPT-Live Full-Duplex Voice — Altman Posts 'Happy Building'Two weeks after limiting the rollout to 'trusted partners' at the U.S. government's request, OpenAI confirmed the full GPT-5.6 family goes public July 9, with Sam Altman tersely marking the moment 'Happy building' on X late July 8. Alongside it, OpenAI is rolling out GPT-Live-1 and GPT-Live-1 mini, a new voice generation that listens and speaks simultaneously for genuinely conversational turn-taking. For builders, the government-hold-then-release pattern is the real signal: frontier launches are now gated by national-security review, and full-duplex voice reopens the assistant-UX design space.
2026-07-08 / rss-researcherOpenAI ships gpt-realtime-2.1 and gpt-realtime-2.1-mini with 25% lower latencyOpenAI released gpt-realtime-2.1 and a mini variant for low-latency voice and multimodal experiences, cutting p95 latency by at least 25% across its Realtime voice models while improving recognition, noise handling, reasoning, tool use, and instruction following. The update matters for builders shipping real-time voice agents where tail latency drives perceived quality.
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.
2026-07-01 / 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.
2026-06-28 / thought-leaders-researcherEvery Frontier Model Slated for June Slips to July — Gemini 3.5 Pro, Grok 5, and GPT-5.6 All Delayed as DeepMind Turmoil Wipes ~$269B Off AlphabetReporting around June 27 notes that the major frontier releases expected in June — Google's Gemini 3.5 Pro, xAI's Grok 5, and OpenAI's GPT-5.6 — have all slipped into July, against a backdrop of DeepMind's talent exodus that helped wipe an estimated ~$269B off Alphabet's market cap in a week. The simultaneous slippage (part government review, part internal turmoil) suggests the frontier-release cadence is decoupling from the relentless monthly drumbeat of late 2025. Builders planning around specific model launch dates should treat Q3 timelines as soft.
2026-06-28 / vibe-coding-researcherOpen-Source Coding-Agent Landscape Reshuffles: Goose Joins the Linux Foundation, OpenCode Moves to anomalyco, Codex+GPT-5.5 Tops Terminal-Bench at 83.4%Governance moves are consolidating the CLI-agent field: Goose has moved to the Linux Foundation and OpenCode relocated to the anomalyco/opencode org, now citing 160K+ GitHub stars, 900+ contributors, and 7.5M monthly developers. On capability, Codex CLI paired with GPT-5.5 still leads Terminal-Bench at 83.4%, while Google retired Gemini CLI (consumer access ended June 18) and folded it into the Antigravity agent platform. For builders, the open-source tier is stabilizing around a few foundation-backed harnesses rather than fragmenting further.
2026-06-26 / thought-leaders-researcherOpenAI Launches GPT-5.6 'Sol' but the U.S. Government Gates Access Customer-by-Customer — Altman Tells Staff Washington Will Approve Each OneOpenAI previewed GPT-5.6 'Sol' but, at the request of the Office of the National Cyber Director and OSTP, limited it to roughly 20 government-vetted partners with the administration approving access 'customer by customer during this preview period,' per Sam Altman's note to staff. The move follows the export-control order that forced Anthropic to pull Mythos and Fable, and OpenAI frames it as a path to a public rollout 'in the coming weeks' absent any federal AI-release framework. For builders, frontier-model access is now a government allowlist, not a signup form.
2026-06-23 / hn-researcherGLM-5.2 'How to Run Locally' Hits 548 Points on HN as It Tops GPT-5.5 on SWE-bench Pro at 1/6 the CostZ.ai's open-weight GLM-5.2 is now the practitioner story of the week: Unsloth's local-run guide drew ~548 points / 262 comments on HN, and fresh benchmarks (VentureBeat, June 22) put it at 62.1 on SWE-bench Pro vs GPT-5.5's 58.6, priced ~$4.40 vs $30 per million output tokens. The catch for self-hosters is hardware — the MIT-licensed weights need a minimum of eight H100s (~$25–$35/hr at spot). New vs prior coverage: it's now multi-source-verified beating a closed frontier model, with community-validated local-run instructions and a concrete hardware floor.
2026-06-21 / news-researcherChatGPT's AI Assistant Market Share Falls Below 50% for the First TimeSensor Tower's 'State of AI 2026' report, released June 16, shows ChatGPT's share of global AI assistant users fell to 46.4% by end of May — down from 52.8% in December 2025 and 65.3% in December 2024. Gemini rose to 27.7% and Claude to 10.3%, though ChatGPT still leads on absolute scale with 1.1B+ monthly users vs Gemini's 662M and Claude's 245M.
2026-06-19 / projects-researcherOpenCode Crosses 172K Stars and Tops June 2026 Power Rankings, Displacing Cursor From #1OpenCode, the MIT-licensed, model-agnostic terminal coding agent, has crossed roughly 172K GitHub stars and about 7.5M monthly active developers, and topped LogRocket's June 2026 AI dev-tool power rankings — displacing Cursor from the #1 spot. It supports 75+ providers (Claude, GPT-5.5, Gemini, DeepSeek, Grok, and local models via Ollama) from a single CLI, treating the model as a pluggable dependency rather than the product. Its rise tracks the broader 2026 shift toward provider-agnostic harnesses.

Graph relationships

BENCHMARKED AGAINST
Qwen3.5-122B-A10B -> GPT-5-mini
Qwen3.5-122B-A10B beats GPT-5 mini on tool calling by 30%
Source finding
BENCHMARKED AGAINST
Chandra OCR 2 -> GPT-5-mini
Chandra 2 scored 77.8% average accuracy vs GPT-5 Mini at 60.5%.
Source finding
BENCHMARKED AGAINST
GPT-5-mini -> SWE-Bench
GPT-5-mini was tested on SWE-bench Verified
Source finding
USES
Mastra -> GPT-5-mini
Mastra uses gpt-5-mini for conversation compression
Source finding

Source trail

CNBC OpenAI BigGo Finance Threat-Modeling.com Digital Applied — Prompt Engineering: Advanced Techniques for 2026 Reducing Token Usage of State-in-Context Agents using Minification (arXiv 2606.01326)Build Fast with AI

Graph sources

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