anth.us valid
Anthus
Anthus builds self-aligning AI systems: custom models, agent harnesses, evaluation loops, and unattended automation with a human in the loop, grounded in production operations since 2007.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://anth.us/llms.txt
- llms-full.txt
- https://anth.us/llms-full.txt
- Sections
- 4
- Links
- 113
- Size
- 32841 bytes
- Country
- United States Country-code domain
- Country evidence
- No published address evidence collected yet
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-26T18:17:02.499Z
- Last checked
- 2026-10-26T18:17:04.886Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T18:17:02.503Z. Cached copy · Source on anth.us
# Anthus
> Anthus builds self-aligning AI systems: custom models, agent harnesses, evaluation loops, and unattended automation with a human in the loop, grounded in production operations since 2007.
## Articles
- [DeepSeek restrictions reach inside the tools](https://anth.us/articles/deepseek-restrictions-inside-the-tools/index.md): DHS's DeepSeek restrictions reach third-party tools, too. A separate poisoned-model experiment shows why knowing whose models are inside matters. (2026-10-19)
- [Pi 1.0, and the Durable Agent We're Building on It](https://anth.us/articles/pi-1-0-and-pi-durable/index.md): Earendil shipped Pi 1.0 and an experimental companion, Pi Durable. Pi is one of the agents Kanbus dispatches tasks to, and we like Pi Durable so much that we're building a durable Pi agent platform into Chatticus. (2026-10-02)
- [It's Not a System 1 Model If It Takes Ten Seconds](https://anth.us/articles/glide-decision-model-ten-seconds/index.md): Fastino's GLiDE beats every open model on our reasoning benchmark, but not Jev: less accurate, five times slower, ten times the cost, and a confidence that barely tells right from wrong. (2026-10-02)
- [The OpenAI Decisions API Needs a Confidence You Can Trust](https://anth.us/articles/openai-decisions-api-preview/index.md): We've routed decisions on LLM confidence since 2023, and calibration is what we most hope OpenAI's new Decisions API gets right. The model underneath, GPT-6 Luna, isn't there yet: on 3,600 reasoning problems its 99% meant 68%, and by five inference steps it was at a coin flip. (2026-10-01)
- [Can Averaging Reduce Noise in an AI Decision Model?](https://anth.us/articles/can-averaging-reduce-noise/index.md): We asked Jev the same question ten times in one request and expected ten identical answers. They split, four votes to six. Kahneman, Sibony and Sunstein call that kind of variation noise. Averaging the copies didn't make Jev more accurate, but it cut changed answers on a rerun by about a third. (2026-10-01)
- [Primus Is a Classifier Lab: Operationalizing Classifiers at Scale](https://anth.us/articles/primus-classifier-lab/index.md): A hosted decision model sat at 77 percent accuracy through 87 rounds of reviewer feedback, then one approved question took it to 87. Here is the loop that did it, every figure published, and the offer to run it on your judgment task. (2026-09-27)
- [DataParade](https://anth.us/articles/dataparade/index.md): DataParade is a privacy and security product built on a semantic knowledge graph, with a custom ontology and taxonomy that ties into the OCSF standard. Anthus is working with DataParade to develop it. It belongs to the new class of tooling that lets people see what AI agents are doing across a proj… (2026-09-26)
- [Decision Models Are Not Calculators](https://anth.us/articles/decision-models-are-not-calculators/index.md): Jev chose one in every ordering of a fair-die question; Kev leaned toward one, and Laya overwhelmingly chose six. Benford's Law rem
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