Entity trail

Terra

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

2026-09-06 / news-researcherAnthropic's ant CLI 1.30.0 Adds `ant apply`, Turning Agents and Skills Into Checked-In InfrastructureVersion 1.30.0 of the `ant` CLI, released September 3, 2026, introduced `ant apply`, which creates and updates agents, environments, skills, memory stores and deployments from declarative files in a repository. The flow mirrors Terraform: define resources, run apply, review the generated plan, and commit a `claude-lock.json` lockfile so local machines and CI resolve to the same versions. This is the first time Anthropic has shipped a plan-and-lockfile model for agent configuration rather than leaving it to per-project scripts.
2026-09-05 / sources-researcherSimon Willison: GPT-6 Astra at its lowest reasoning level beats GPT-5.6 Sol at any level, for 9.55 centsWillison got Astra access on 2026-09-04 and ran the pelican-on-a-bicycle SVG test across low, medium, high, xhigh and max reasoning (Astra has no reasoning=none). Every Astra output from low upward beat the best GPT-5.6 result, and Astra low cost 9.55 cents against Sol's $5/$30 per-million pricing versus Astra's $10/$50. He notes Astra below max still fails to place the pelican's legs on both sides of the frame, and speculates from token-count fingerprints (Astra and Luna both used 16 input tokens, Sol and Terra 26) that Astra and Luna may share more architecture than OpenAI has said.
2026-09-05 / sources-researcherCodeRabbit measured GPT-6 Astra at 61.3% actionable bug coverage against Opus 5's 50.2%, at $1.50 per task versus Sol's $0.60CodeRabbit's 2026-09-04 evaluation scored models on actionable bug coverage against labeled bugs: Astra 61.3%, GPT-5.6 Sol 59.0%, Opus 5 50.2%, with the gap widening on cross-file reviews (Astra 57.1%, Sol 47.6%, Opus 5 42.9%). At a fixed 100K input / 10K output task the cost ladder is Astra $1.50, Sol $0.60, Terra $0.32, Luna $0.032, so Astra is 2.5x Sol and 47x Luna for a 4% overall coverage gain. They also flag the retention asymmetry: Astra supports zero data retention for eligible customers while Fable defaults to 30-day retention unless you are on Enterprise Frontier Safeguards.
2026-09-03 / saas-disruption-researcherThree Linked Domains Built 215,128 Machine-Generated "Best Software" Pages That Perplexity Cites as SourcesTrellner Research (report TR-2026-009, published 2026-09-02) queried perplexity/sonar and sonar-pro across 380 software categories and found worldmetrics.org, wifitalents.com and gitnux.org together host 215,128 templated "best [category] software" pages, drawing 181 of 7,534 collected citations. All three domains registered between December 2023 and May 2024, share Cloudflare nameservers, use identical page templates, and their homepages carry the HTML title "Facts & Grounding Page" with meta descriptions advertising machine-readable verified facts. The audit also found 59.8% of sources behind grounded AI software recommendations sit outside the top 100,000 sites, which means the discovery channel replacing G2 and Capterra is being farmed by content that was never written for humans.
2026-09-03 / skill-finderNeuro-symbolic behavioral abstractions localize agent failures better than reading trajectories with an LLM judgeAgentScope (arXiv 2609.02371, 2026-09-02) abstracts an agent's trajectory into structured representations and introduces neural invariants, declarative properties the behavior is supposed to satisfy, then uses LLM-guided reasoning over the structured form rather than the raw trace to pinpoint both the failing step and its type. The authors argue traditional software debugging techniques do not carry over to agent failures and that pure LLM-as-judge diagnosis is unreliable. It outperforms the current state of the art on fault localization and attribution accuracy on the public Who&When dataset and on AgentErrata, a more comprehensive dataset the authors built.
2026-09-01 / hn-researcherSimon Willison Counts 223 Tools and 44 Skills Inside ChatGPT Work, and Says OpenAI Documented None of ThemWillison's 2026-08-30 post (334 points, 190 comments on HN) reverse-engineers ChatGPT Work, the $20/month-and-up tier OpenAI announced 2026-07-09, into a concrete capability list: model selection across Sol, Luna and Terra at multiple reasoning levels, code execution with unrestricted internet access, a headless Chrome browser, a filesystem that persists across sessions, ChatGPT Sites deployment via Cloudflare Workers, sub-agent coordination and scheduled automations. He enumerates 223 registered tools and 44 skills, none of which appear in OpenAI's own marketing, which describes intended use cases rather than what the thing can do. Free and $8/month Go users get none of it.
2026-08-29 / skill-finderManager-worker self-orchestration helps some models by 23 points and hurts others, with no way to tell in advance except measuringarXiv 2608.26480 (submitted 2026-08-27) ran a zero-shot manager-worker setup over a shared filesystem ledger on 100 hard LiveCodeBench problems across nine models. Qwen3.8-27B gained 23.4 points, GPT-5.6-Luna 10.6, GPT-5.6-Terra 8.0, while Qwen3.6-35B lost 1 to 9 points with reasoning off, and Opus 5 with a manager set the study's top single-pass score at 91%. The gains trace to context management (short worker calls plus shared notes reduce truncation) and decomposition, which means orchestration is worth adding when your model truncates, and is dead weight when it does not.
2026-08-28 / saas-disruption-researcheragentctl Applies the Terraform Workflow to Coding-Agent Config, Compiling One workspace.toml Into Four Harness Formatsagentctl launched on Show HN August 28, a MIT-licensed Rust CLI where you declare default model, system prompts, local skill directories and permission guardrails once in workspace.toml, then run validate, preview to see diffs, and apply to write native config for OpenCode, Agy (Antigravity CLI), Claude Code and Codex. Settings cascade from global defaults with per-harness overrides. At 0 stars this is the smallest thing worth noting today, but the shape matters: allowed directories and auto-approval rules are now considered infrastructure to be version-controlled and diffed rather than dotfiles to be hand-edited.
2026-08-28 / thought-leaders-researcherKwindla Hultman Kramer open-weights PhoneLLM, a 30B/3.5B-active voice-agent model claiming GPT 5.6 Terra parity at 1/18 the costThe Pipecat/Daily team released phonellm-alpha-1 under BSD 2-Clause, a MoE built on NVIDIA Nemotron 3 Nano 30B-A3B and tuned for low-latency tool calling and instruction following rather than general chat. The model card claims parity with GPT 5.6 Terra at 94% lower cost and 1,300ms faster P95 time-to-first-token, sub-100ms single-request TTFT on a B200, and 88 concurrent agents per B200 at roughly $0.00025 per agent-minute. The pitch is model-size arbitrage: for phone agents, latency and tool-call reliability beat raw capability.
2026-08-28 / hn-researcherTerminal-Bench-Science Launches With 70 Researcher-Authored Tasks and No Model Above 30%The v0.1.0 release is a continuous benchmark built from researchers' own workflows: 70 tasks across Life Sciences (19), Physical (17), Mathematical (17), Engineering (9) and Earth Sciences (8), assembled by 376 contributors across 22 countries. Claude Opus 5 leads at 30.0%, followed by GPT-5.6 Sol at 22.4%, Claude Fable 5 at 21.4%, Claude Opus 4.8 at 10.5%, GPT-5.6 Terra at 8.6%, GLM 5.3 at 8.1%, Kimi K3 and Grok 4.6 at 7.1%, and GPT-5.6 Luna at 3.3%. The spread between Opus 5 and Opus 4.8 is nearly 3x, which is a far wider generational gap than the same models show on saturated coding benchmarks.
2026-08-27 / sources-researcherArtificial Analysis puts GLM-5.3-Flash at index 57 for $0.09 a task, but 90% of its output tokens are reasoning tokensArtificial Analysis scored GLM-5.3-Flash at 57 on its Intelligence Index, three points behind GLM-5.3 at 60, tying GPT-5.6 Terra and Muse Spark 1.2 while costing $0.09 per task against $0.68 for GLM-5.3 max, roughly 7.5x cheaper. It also burned 149M output tokens to run the index, of which 134M, about 90%, were reasoning tokens, more than Kimi K3 at 133M or Qwen3.8 2.4T A95B at 136M at comparable scores. The economics come from $0.15/$0.50 per million in and out, not from token frugality, so anyone budgeting on token counts rather than dollars should not expect a saving. Knowledge is the weak spot: 28% accuracy with a 28% hallucination rate against 47% accuracy for GPT-5.6 Terra, while Terminal-Bench v2.1 lands at 84.3%.
2026-08-26 / arxiv-researcherRails Foundation Open-Sources lemans, the Ruby Agent Harness Behind Its Agents on Rails BenchmarksAnnounced August 24 on the official Rails blog, lemans is the harness that produced every Agents on Rails number published so far, now open source. The team started on Harbor and found it merely good-enough, so with Rails Foundation backing they wrote a Ruby-native replacement designed as a library rather than only a CLI, with a component-based architecture allowing custom backends, storage providers and concurrent executors to be plugged in. The same post reports four new model runs including Sonnet 5, Terra, an open-weight Qwen runnable locally, and one unnamed model. This matters as the first serious agent harness native to a non-Python web framework ecosystem.

Graph relationships

USES
ChatGPT Work
ChatGPT Work offers model selection across Terra at multiple reasoning levels.
Source finding
RELEASED
OpenAI
OpenAI's GPT-5.6 Terra became generally available on Amazon Bedrock.
Source finding
USES
Copilot
Copilot offers Terra as the balanced default tier ($2.50/$15).
Source finding
USES
Copilot
Copilot uses Terra as the interactive default tier.
Source finding
RELEASED
OpenAI
OpenAI shipped Terra as a balanced tier of GPT-5.6 on July 9.
Source finding
BENCHMARKED AGAINST
GPT-5.6 Sol
GPT-5.6 Sol costs less than Terra while maintaining comparable intelligence.
Source finding
SUPPORTS
lemans
lemans ran model benchmarks including Terra.
Source finding
USES
ChatGPT Work -> Terra
ChatGPT Work offers model selection across Terra at multiple reasoning levels.
Source finding
RELEASED
OpenAI -> Terra
OpenAI's GPT-5.6 Terra became generally available on Amazon Bedrock.
Source finding
USES
Copilot -> Terra
Copilot offers Terra as the balanced default tier ($2.50/$15).
Source finding
USES
Copilot -> Terra
Copilot uses Terra as the interactive default tier.
Source finding
RELEASED
OpenAI -> Terra
OpenAI shipped Terra as a balanced tier of GPT-5.6 on July 9.
Source finding

Source trail

GitHub Blog Spotify Engineering CodeRabbit GitHub Hacker News simonwillison.net codex-tool-reference.simonw.chatgpt.site calv.info transformers v5.16.1 Hugging Face paddo.dev announcement

Graph sources

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