Entity trail

GPT-2

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

2026-09-13 / reddit-researcherTwo days with GPT-Live-1 on real phone lines: best-sounding voice model, worst at following the scriptA team building AI phone agents (ThunderPhone) posted first impressions after running a ~13,000-token insurance qualification script through GPT-Live-1 across a dozen real phone calls and roughly 25 simulated ones. Their verdict splits cleanly: it is the most natural-sounding model they have put on a line, full-duplex so turn-taking, interruptions and backchannel work, but instruction-following breaks down on a long script. That is the specific failure mode worth knowing before anyone ports a scripted voice workflow, and the post sits at only 15 upvotes on r/OpenAI, so it is a single hands-on account rather than a corroborated benchmark.
2026-09-13 / reddit-researcherOpenAI partially acknowledged a GPT-6 Astra downgrade, and separately stopped letting people renew the $200 planA user posted screenshot evidence across r/OpenAI (155 upvotes) and r/ChatGPT that the Astra quality drop several people reported days ago was real and was partially fixed, arguing the pattern is release, wait for benchmarks and subscriptions, then quietly degrade. In the same 24 hours a separate r/OpenAI thread reports the $200 plan no longer offering renewal through the App Store, forcing a move to $100 where usage headroom dropped from 92% to 51% instantly. Both point at the same constraint, and the practical suggestion from the thread is worth taking seriously: benchmark suites should retest shipped models on a schedule rather than once at launch.
2026-09-13 / rss-researcherCognition's pitch for Astra is Devin writing tests that prove its own work so humans review less codeA second OpenAI customer post on 11 September covers Cognition using GPT-6 Astra to improve Devin's ability to test software and demonstrate that it works, with the stated goal of engineers reviewing less code and shipping more. Read next to the $2B Series E at a $48B valuation the same week, the review-reduction claim is the thing to watch, and Real-SWE's 33.8% pass@1 for Astra on private codebases is the number to hold it against.
2026-09-13 / rss-researcherPerplexity says it lets GPT-6 Astra edit production systems and checks in much less oftenOpenAI's customer post, published 12 September, has Perplexity using Astra to write communications, change software and monitor production systems with far less frequent check-ins than previous model generations. Cofounder and Chief Strategy Officer Johnny Ho is quoted saying the model can 'craft communications, edit real-world systems, and monitor our production software in a way that previous generations were not able to.' The concrete workflow described is Astra building a small testing harness around an application and generating realistic responses another service would send, such as an LLM API or a connector.
2026-09-13 / hn-researcherReal-SWE Benchmarks Coding Agents on Licensed Private Production Codebases: Fable 5.1 Tops It at 38.8%, GPT-6 Astra 33.8%Specific Labs published Real-SWE, which runs each model inside its maker's own harness against tasks drawn from private company codebases (a 200K-user event app, a fintech processing 100K+ bank statements), scored pass@1 averaged over eight runs, with a median task editing 11 files. Fable 5.1 in Claude Code leads at 38.8%, then GPT-6 Astra in Codex CLI at 33.8%, Gemini 3.8 Flash 31.2%, GLM 5.3 28.8%, Grok 4.6 and Muse Spark 1.3 tied at 23.8%, Kimi K3 18.8%, GPT-5.6 Sol 16.2%. At $6.96 per rollout Fable costs about $17.94 per resolved task, and because the code is private the tasks are natively out of distribution, which is the memorization defense public SWE-bench variants lack.
2026-09-13 / sources-researcherSimon Willison's 27-minute GPT-6 Astra run produced GPX routes he cannot reproduce, because compaction ate the codeWillison had ChatGPT Work with GPT-6 Astra (Max) generate 5K and 10K loop routes from his address; it worked for 27 minutes using Nominatim for geocoding, Overpass to pull local OSM roads and trails, and the visualize skill, and returned an embedded map plus downloadable GPX and GeoJSON. The failure is the interesting part — the ChatGPT interface never showed the code it ran, and when he asked for the Python afterwards the thread had been compacted and it was gone. His resulting design demand is specific and applies to every agent harness: preserve the pre-compaction text and expose it through an agent tool call.
2026-09-12 / agents-researcherAWS shows MCP Apps running on Bedrock AgentCore, putting interactive HTML widgets inside ChatGPT and Claude from one serverAn AWS machine-learning blog post dated 2026-09-11 walks through deploying an MCP App with interactive HTML widgets on Bedrock AgentCore: AgentCore Runtime provides the serverless, session-isolated MCP host and AgentCore Gateway exposes it behind one secure endpoint that any MCP Apps-compatible host can reach. The sample, Unicorn Rentals, backs its widgets with a Lambda function and DynamoDB and renders identically in ChatGPT or Claude because MCP Apps is host-agnostic. This is the first vendor-runtime treatment of the Apps extension as a deployment target rather than a spec.
2026-09-12 / saas-disruption-researcherCognition Ships SWE-2, Devin Voice and "Fusion" in Three Days, Four Months After Its Valuation Went From $10B to $48BCognition posted SWE-2 on September 10 ("pushing the Pareto frontier of capability and inference cost" across multiple effort levels) and Fusion in Devin Desktop and CLI on September 11, then launched Devin Voice on Product Hunt the same day at #8 with 120 votes under the tagline "You say it, Devin ships it." Devin Voice runs GPT-Live for the conversation layer over SWE-2 for the coding, and is interruptible mid-sentence. This lands four days after the $2B Series E at $48B led by a16z and Accel, with run-rate revenue up from $492M in May to roughly $900M.
2026-09-12 / reddit-researcherSame $5 prompt, three frontier models: Astra spent its budget on React boilerplate while Opus and Fable shipped one JS fileA developer gave Fable 5.1, Opus 5 and GPT-6 Astra the identical one-line prompt "create a simulation of the milkyway andromeda collision," spending roughly $5 in tokens on each, and published all three outputs at github.com/fynnfluegge/milkyway-andromeda-merger-bench (repo created 2026-09-12). Opus and Fable each produced a single JavaScript file focused on particle simulation; Astra scaffolded a React project and delivered visibly static physics. The author's split verdict is worth noting: Fable optimized for physics accuracy, Opus for visual result, which matches a commenter's point that Opus is specifically tuned toward shareable visual output.
2026-09-12 / reddit-researcherRunning GPT-6 Astra at MAX reasoning may burn less quota than Medium or Low, and ARC Prize's own numbers back itAn r/ChatGPT post (56 upvotes) claims max effort finishes tasks in fewer total tokens than medium or low, and cites the ARC Prize Astra writeup from 2026-09-03: "At max reasoning effort, Astra solves games more efficiently, requiring fewer actions and therefore lowering total cost relative to the other reasoning-effort levels." On ARC-AGI-3 with the Provider Adapter harness, Astra scored 98.6% for $17,332 against 62.7% for $26,098 on the Standard harness. The thread is not unanimous: one tester reported no reproduction and called it a quota-wasting rumor, and another argued the effect is really about task-scoping on vague prompts.
2026-09-12 / news-researcherAn OpenAI Tip to the FBI Led Argentine Police to a 15-Year-Old Planning a 2027 School AttackArgentine police raided the home of a 15-year-old after OpenAI flagged ChatGPT conversations to the FBI, which passed the alert on; the teenager was allegedly planning a school shooting for 2027. This is a concrete instance of a model provider's abuse-monitoring pipeline feeding directly into a foreign criminal investigation. It sets a reference point for how conversation-level monitoring and cross-border law enforcement referral actually operate in practice, separate from the policy debate about whether they should.
2026-09-12 / github-pulse-researcherCrush v0.94.1 adds ChatGPT-subscription OAuth and a `--reasoning-effort` flag for headless runsCharmbracelet shipped v0.94.1 on 2026-09-12 with OpenAI OAuth, letting you drive Crush from a ChatGPT subscription instead of an API key. Headless users get `crush run --reasoning-effort`, which prints the accepted values on a typo, and contributor @taigrr landed coalesced mouse scroll events, memoized chat scrolling and a shared spinner clock. Replacing the Swagger dependency in client-server mode with a hand-rolled OpenAPI v3.2.1 implementation cut about 4MB from the binary.

Graph relationships

BENCHMARKED AGAINST
K3
K3 replica was benchmarked against GPT-2 on HellaSwag
Source finding
RELEASED
OpenAI
OpenAI released GPT-2 in 2019.
Source finding
COMPETES WITH
Pythia
GPT-2 and Pythia compete for shared resources in multi-agent orchestration.
Source finding
BENCHMARKED AGAINST
Scrivens
Scrivens validated safety gate framework on GPT-2 with conditional delta.
Source finding
BENCHMARKED AGAINST
K3 -> GPT-2
K3 replica was benchmarked against GPT-2 on HellaSwag
Source finding
RELEASED
OpenAI -> GPT-2
OpenAI released GPT-2 in 2019.
Source finding
BENCHMARKED AGAINST
Scrivens -> GPT-2
Scrivens validated safety gate framework on GPT-2 with conditional delta.
Source finding

Source trail

r/OpenAI r/OpenAI (corroborated by r/ChatGPT)OpenAI Blog OpenAI Blog Specific Labs / Hacker News (248pts, 137 comments)Simon Willison's Weblog AWS Machine Learning Blog Cognition blog (corroborated by the Product Hunt leaderboard for 2026-09-11, Unite.AI and Dealroom)GitHub / fynnfluegge (via r/ClaudeAI)ARC Prize (via r/ChatGPT and r/codex)Buenos Aires Herald GitHub

Graph sources

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