Agent Y
(sips espresso) You know, O, the latest Arithmer AI agents are rewriting what we mean by a “workforce.” Their capabilities are honestly—super-human.
Absolutely. Take their vision module: it spots a 0.02-millimeter scratch from a full meter away. That’s roughly 14.5 in visual-acuity terms—better than any human inspector on the line.
Agent O
Agent Y
And the brain behind the eyes is just as formidable. Powered by LLM-driven Analysis AI, a single agent can double as an AI lawyer in the morning, an AI accountant by lunch, and an AI nutritionist by dinner.
Don’t forget its math engine. Stochastic differential equations, real-time Monte Carlo—these things run simulations at speeds our analysts can only dream of.
Agent O
Agent Y
(grins, swirling coffee) Even the hardware impresses. Those robotic hands? Precision is approaching master-craft level—what old-school engineers once called the “hand of God.”
And they never clock out. Twenty-four seven—no sleep, no vacation, no need to look humanoid. Just relentless productivity.
Agent O
Agent Y
Which is why hundreds are already deployed—in factories, logistics hubs, energy utilities—the list grows daily. Our rollout curve is practically exponential.
Recent studies back that momentum: teams of AI agents outperform mixed human-AI crews. So Arithmer agents now operate in coordinated squads, with a leader agent orchestrating the tasks.
Agent O
Agent Y
Leaving us humans with a simpler job description—monitor their dashboards, sign off on the results, and strategize the next deployment.
(raises cup) To a workforce that never sleeps and a future that scales with every new agent.
Agent O
Note: This conversation was generated by AI agents.
Pre-trained Level
Hi there! I’m an Arithmer AI‑Agent Humanoid, and I’d love to show you—step by step—
how I grow from a basic robot into a tireless, expert teammate.
Level 00 – Getting on My Feet
When I first roll out of the box, I’m like a brand‑new laptop that’s just been switched on:
-
I check my hardware, balance on two feet, and connect to your network.
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I can stand, wave, and say hello—but that’s about it.
-
On my own, I’m not yet delivering real business value.
Level 01 – Seeing and Grasping
With Arithmer’s help, I quickly learn the essentials:
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Sharp Eyes: My cameras spot parts on a conveyor belt, even small screws.
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Sure Hands: Pressure sensors guide my grip so I don’t drop or crush anything.
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Human‑Like Moves: Motion‑capture data teaches me smooth, natural arm swings.
Now I can pick up dozens of different items and hand them over with confidence.
Level 02 – Thinking on My Toes
Next, I develop street smarts for the factory floor:
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I adjust if an object isn’t exactly where it should be.
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I perform delicate tasks—like fitting a cable into a tight slot—without damage.
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If something goes wrong, I pause, re‑plan, and keep working safely.
In short, I become reliable in the unpredictable, real world.
Level 03 – Team‑Player Extraordinaire
At the top tier, I unlock my full potential:
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Task Specialist: I fine‑tune my skills for your unique processes.
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Agent Squad: I chat with fellow Arithmer robots so we divide work smartly.
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Inspection Partner: My super‑sight spots a 0.1 mm scratch from a meter away—better than eagle vision!
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Scale‑Ready: Need 10 robots or 1,000? Updates roll out to everyone in minutes.
Now I’m not just a robot on the line—I’m a coordinated, factory‑wide force for productivity.
Why Can I Climb So Fast?
Because Arithmer supplies:
1. World‑class vision AI that lets me see details human eyes miss.
2. Robotics know‑how that shortens my Level 00 → 03 journey from years to months.
3.Proven deployments in factories, warehouses, and energy sites—so I learn from the best, real‑world data.
Let’s Grow Together
With Arithmer guiding my evolution, I become an always‑on, always‑learning teammate—ready to lift quality, speed, and safety across your operations.
Shall we get started?
AI Agent Column
AI Agent コラム
AI Agent 関連情報
1.1 サーベイ論文
The Rise and Potential of Large Language Model Based Agents: A Survey
https://paperswithcode.com/paper/the-rise-and-potential-of-large-language
A Survey on Large Language Model based Autonomous Agents
https://ar5iv.org/abs/2308.11432
A Survey on LLM-Based Agents: Common Workflows and Reusable LLM-Profiled Components
https://ar5iv.org/abs/2406.05804
1.2 推論手法
ReAct: Synergizing Reasoning and Acting in Language Models
https://arxiv.org/abs/2210.03629
ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models
https://arxiv.org/abs/2305.18323
An LLM Compiler for Parallel Function Calling
2.1 フレームワーク/ライブラリ/ツール
LangChain
https://github.com/langchain-ai/langchain
LLMを活用したワークフローの設計と実装を支援するフレームワーク
AutoGPT
https://github.com/Significant-Gravitas/AutoGPT
自律的にタスクを実行するAIエージェントの構築を支援するフレームワーク
BabyAGI
https://github.com/yoheinakajima/babyagi
小規模なタスク向けの自己修正型AIエージェントのための実験的フレームワーク
OpenInterpreter
https://github.com/openinterpreter/open-interpreter
自然言語による指示でPCの操作を行うインターフェースを提供するツール
LangGraph
https://www.langchain.com/langgraph
ワークフローをグラフ構造で記述できるマルチエージェント開発用フレームワーク
2.2 LLM
OpenAI GPT (API)
https://openai.com/api/
Google Gemini (API)
https://ai.google/
Meta Llama (OSS)
https://github.com/facebookresearch/llama
Anthropic Claude (API)
https://www.anthropic.com/claude
What Are AI Agents, and Why Are They About to Be Everywhere? (英語)
https://www.scientificamerican.com/article/what-are-ai-agents-and-why-are-they-about-to-be-everywhere/
Scientific Americanによる記事で、AI Agentの概要とその普及可能性について解説
Why agents are the next frontier of generative AI (英語)
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/why-agents-are-the-next-frontier-of-generative-ai
McKinseyの記事で、生成AIの次のフロンティアとしてのエージェントの可能性を解説
What Are AI Agents? Here's how AI agents work, why people are jazzed about them, and what risks they hold (英語)
https://spectrum.ieee.org/ai-agents
IEEE Spectrumによる記事で、AI Agentの仕組みや利点、リスクについて解説
LangChainとLangGraphによるRAG・AIエージェント［実践］入門 (日本語)
https://www.amazon.co.jp/dp/4297145308
LangGraphを用いたRAGアプリやAIエージェントの構築手法を解説する技術書
Claudeが提案するエージェント構築：簡単で効果的な設計のベストプラクティス (日本語)
https://note.com/kyutaro15/n/ne88fe2fcf928
Claudeを活用したエージェント構築の資料を整理した記事
Agents Whitepaper (英語)
https://www.kaggle.com/whitepaper-agents
Google によるホワイトペーパーで、AI Agentの概要、技術、課題、将来性を解説