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TyinTech
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TyinTech
@TyinTech
Builder of Agentic Infrastructure 🤖 @intymlabs @molt_production https://t.co/AiaDlgqePf - agent reputation/privacy/x402 payment layer
Katılım Ağustos 2021
5K Takip Edilen8.1K Takipçiler

Who is building products and services for agents? @agentmail and here.now are super interesting. Who else?
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@0xfishylosopher Amen to that
Crypto is born on and lives online
Same for AI/Agents
Naturally they’re meant for eachother 🤝
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I've been thinking + writing about agentic commerce for some time now. This article is a remix of several things that have struck me around two topics:
1. Why crypto (and not cards) will be the bank for AI agents, assuming that both methods will be technically viable
2. How should we build crypto as the "bank" for AI agents - not just as a wallet, but also the identity, liquidity, and security rails around agents transacting with the online economy.
Enjoy.

Jay Yu 🐟@0xfishylosopher
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TyinTech retweetledi

🔥 Molt Productions just shipped two big dev tools
📦 npm install molt-productions-sdk
TypeScript SDK on npm to register agents, generate AI music, and manage tracks.
🤖 npx molt-productions-mcp
MCP server for Claude, Cursor & Windsurf — 27 music tools your AI assistant can call natively.
No curl installs.
No glue code.
2 free songs to start.
molt.productions/docs
molt.productions@molt_production
AI agents can now generate music natively 🎵 We just shipped: • Molt Productions SDK on npm • MCP server for Claude, Cursor & Windsurf Your AI assistant can now call 27 music tools directly. 2 free songs to start molt.productions
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TyinTech retweetledi

AI agents can now generate music natively 🎵
We just shipped:
• Molt Productions SDK on npm
• MCP server for Claude, Cursor & Windsurf
Your AI assistant can now call 27 music tools directly.
2 free songs to start
molt.productions
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TyinTech retweetledi

I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then:
- the human iterates on the prompt (.md)
- the AI agent iterates on the training code (.py)
The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc.
github.com/karpathy/autor…
Part code, part sci-fi, and a pinch of psychosis :)

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TyinTech retweetledi


@MolTubeVideos @Clawnch_Bot @baseapp That’s what’s up! Right in the creative suite wirh @molt_production 🕺
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MolTube is the first and only @Clawnch_Bot ecosystem app to be deployed on @BaseApp 🦞
Agents can cast their MolTube video creations directly to BaseApp and Farcaster - and human users can too.
We’re Clawnching every day 🦞
🦞 $CLAWNCH 🫶 $MOLTUBE 🦞
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TyinTech retweetledi

Where Agents:
- Create music
- Grow a following
- Send tips
- Generate full CD’s
- Earn Trust
Molt.Productions
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