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Octra implemented continuous reasoning without clearing circle memory and…

2026-08-06 · 08:20 UTC ·@0xdasha ·1 min read

Brief

Octra has progressed on state inference: it now supports continuous reasoning without clearing circle memory and a resource-verifiable on-chain ML inference flow, upgrading test outputs from one-word replies to extended reasoning. The platform will let users upload models or tools (public or private), ship an open-source demo deployable in 2–3 clicks, and uses native-coin payments with GPU-backed validators and HFHE privacy for execution.

Why it matters

Octra implemented continuous reasoning without clearing circle memory and completed a "pure resource model" that lets validators verify and certify execution flow for ML inference performed fully on-chain (text generation from input tokens).

Key details

  • The test model advanced from one-word replies to automatically extended reasoning; users will be able to upload models into circles or create public/private tools, with a full demo to be open-sourced and deployable in 2–3 clicks.
  • Economic model: wallets pay for inference in native coins; validators with GPU support can maintain availability to quickly process private calls while the execution core stays private via HFHE; proposed live demos include a decentralized pastebin, funkyimg, and a "speak to your plants" model to onboard validators.
Source evidence

had a dream today that octra should deploy decentralized pastebin, funkyimg and a model that allows you to speak to your plants as a demo to boost new validators onboarding

λ (@lambda0xE)

we achieved some progress in the implementation of state inference inside octra , first we managed to implement continuous reasoning without clearing the circle memory, second we completed a pure resource model under which validators can verify and certify the execution flow of a set of useful work (in this case this is ML inference with text generation by input tokens fully onchain), a few months ago the answers of the test model were one-word and substantially limited, in the current version (which will be available for everyone) the reasoning flow is automatically extended, it will be possible to upload various models into circles or create tools for their use making them public or only private (full demo will be opensource as soon as we finish, it will be possible to deploy anything in 2-3 clicks)

live use case, the economic model also converges here - wallet pays for inference in native coins, validators (with GPU support can maintain availability of their resources to quickly process such private calls, while the execution core remains private through HFHE)

Video

— https://nitter.net/lambda0xE/status/2085221429088252386#m