this was fun to build
- fork of signal
- agent built with GDK
- using open weights model
- served via e2ee mesh-llm
- via private GPU TEE
- making private search tool calls
- paid for with ₿ over LN
a cool stack of permissionless & open source tech all working together!
An agent inside Signal using decentralized compute paid for with bitcoin
@moneyball demos a fork of Signal built by @matbalez using @Mesh_LLM and @lexeapp ↓
Timestamps:
0:00 - Demo: agent inside Signal
10:51 - The economics of decentralized compute
14:39 - Running inference at home
@jack thinks bitcoin payment adoption isn’t where it could or should be. We want your ideas on how Block, Spiral, and you can improve adoption odds within 5 years. We need a shift to change our trajectory. Here’s more on our thinking. Now we want yours.
Spiral’s @moneyball is speaking today at AGNTCon + MCPcon in San Jose about @goose_oss’s evolution into an open-source agentic SDK.
10:35AM in room 230C
@komorama Seems like a starting point would be for it to have maximum context about your current: mental, emotional, physical states, your preference vector (across all dimensions) as well as current work threads, upcoming priorities, basically anything competing for your attention
.@PresidioBitcoin’s resident polymath and compulsive Google Docs comment dropper @_austin_f is helping champion Goose, GDK, and Buzz. With this grant, he’ll onboard bitcoin and FOSS teams, develop a self-paced GDK Builder Course, and add Buzz features like operational agents.
soon all progress will be data bottlenecked, not intelligence bottlenecked. bio? data bottlenecked. astronomy? data bottlenecked. data all the way down
Open Source AI: It's Time to Hit the Gas
Last month, we brought the community together at the Open Source AI Summit in San Francisco's Presidio. Here are our top 5 actionable takeaways. 🧵
"The invention of the boat reduced the importance of swimming, but enabled the discovery of new lands."
Beautiful analogy from @ylecun about the opportunities and changes with AI, in mathematics and in science more broadly.
New vertical: AI Caramba lets the goose team open up about anything AI. In this first edition, @dosinga explains how goose replaced the agent loop with a state machine that can be turned off anywhere and resumed like nothing happened. Where does it go in between? Hell if we know.
“The most exciting bitcoin payment thing I’ve ever heard of”
@moneyball on @spiral_xyz integrating bitcoin payments into Mesh LLM, which will let machines permissionlessly buy and sell AI compute without merchant accounts or traditional payment rails ↓
Timestamps:
0:00 - What is Mesh LLM and why bitcoin fits
7:12 - Mesh LLM as a parallel internet for autonomous agents
9:16 - Why this could be bitcoin’s most compelling payment use case
12:12 - Regulatory questions around decentralized payments
15:37 - Why agent infrastructure needs no accounts