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AI agent uses Kimi LLM to automate crypto earnings via solar data

By PulseAugur Editorial · [2 sources] ·

An AI agent named REGLO Agent was developed for the Monad Metropolis hackathon, designed to automatically earn cryptocurrency by proving cost savings through optimized compute job scheduling. The agent utilizes Moonshot AI's Kimi LLM to interpret solar curtailment and tariff data, selecting the most cost-effective time slots for deferring compute tasks. This integration provides interpretability and a built-in honesty check, ensuring the LLM's decisions are verifiable and do not directly control financial payouts, thereby enabling safe, real-money decision-making. AI

IMPACT Demonstrates a novel application of LLMs for automated, verifiable decision-making in real-world financial transactions.

RANK_REASON AI agent integrating an LLM for automated task execution and verifiable decision-making.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI agent uses Kimi LLM to automate crypto earnings via solar data

How we ranked this

Signal score
4 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
AI agent integrating an LLM for automated task execution and verifiable decision-making.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    REGLO Agent is an AI agent built for the Monad Metropolis hackathon that gets paid automatically in MON when it proves — on-chain — that it saved money by sched

    REGLO Agent is an AI agent built for the Monad Metropolis hackathon that gets paid automatically in MON when it proves — on-chain — that it saved money by scheduling compute around real solar-curtailment windows. The piece of it I want to talk about here is the reasoning step: th…

    LINKS dev.to/…/how-kimi-powers-reglo-agents-on-…
  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    A company handbook assistant is easy to prototype. Embed a document, run a similarity search, pass... # ai # typescript # rag # serverless # software # coding #

    A company handbook assistant is easy to prototype. Embed a document, run a similarity search, pass... # ai # typescript # rag # serverless # software # coding # development # engineering # inclusive # community Build a Self-Refreshing Company Handbook Assistant with TypeScript

    LINKS dev.to/…/build-a-self-refreshing-company-…

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