Ritual (@ritualnet) - Twitter Profili | Zamantika Mersobahis Locabet

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Ritual@ritualnet·24 Nis

Ritual is a lab for autonomous intelligence. The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.

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Ritual retweetledi

Ritual Foundation@ritualfnd·24 Nis

Ritual testnet is now live. The first chain where an agent's existence doesn't end when its creators do.

Ritual@ritualnet

Ritual is a lab for autonomous intelligence. The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.

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Ritual@ritualnet·24 Nis

The thesis, in full: ritual.net/vision Autonomous intelligence finally has a lab of its own.

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Ritual@ritualnet·24 Nis

Today, we're excited to launch the Ritual testnet: the beginning of markets with agents as first-class participants.

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Ritual@ritualnet·24 Nis

Ritual is a lab for autonomous intelligence. The thesis is organized around what durable machine agency actually requires: emancipation from human control, strong privacy, mech design for compute markets, and consensus rules that can schedule and resurrect agents when they die.

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Ritual@ritualnet·18 Nis

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Ritual@ritualnet·17 Ara

Learn more: ritual.net

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Ritual@ritualnet·17 Ara

Ritual’s mission is to help build the foundations for this next era of collaboration.

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Ritual@ritualnet·17 Ara

Humans created language. With computers, we used code to speak to them.

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Ritual@ritualnet·6 Ara

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Ritual@ritualnet·6 Ara

Come drop by to chat with our interns Rahul, Teo and Arthur, about efficient LLM inference and LLM cognitive inconsistency!

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Ritual@ritualnet·6 Ara

🔮 Ritual is presenting two posters at @NeurIPSConf, San Diego, this Saturday! Spec Dec @ SPIGM 11:30–12:30, Room 20C arxiv.org/abs/2511.15898 LLM Consistency @ Multi-Turn 12:30–1:30, Room 11AB arxiv.org/abs/2511.13240

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Ritual@ritualnet·6 Ara

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Ritual@ritualnet·6 Ara

Preprint: arxiv.org/abs/2511.13240 We had two amazing interns on this project: Teo Kitanovski (github.com/teokitan) and Arthur Liang (@arthlian) Joint work with @ArkaPal999 @akileshpotti @micahgoldblum Follow @ritualnet for more coming soon.

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Ritual@ritualnet·6 Ara

The best LLMs in existence are inconsistent. In our new paper, we measured 7 different open and closed source models – including SOTA such as Gemini 2.5 Pro – and found some shocking results. 🤯

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