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Andy Xor
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Andy Xor
@andy_xor
Institute for Advancement of Actual AI
Katılım Eylül 2014
7.5K Takip Edilen1.4K Takipçiler
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Holy shit… someone just made Claude instances talk to each other.
Not APIs.
Not agents.
Not orchestrators.
Just multiple Claude Code sessions… messaging each other like coworkers.
It’s called claude-peers — and it turns one Claude into a team.
Here’s what’s happening:
Run 5 Claude Code sessions across different projects
Each one auto-discovers the others
They send messages instantly
Ask questions
Share context
Coordinate work
Your AI tools literally collaborate.
Example:
Claude A (poker-engine):
"what files are you editing?"
Claude B (frontend):
"working on auth.ts + UI state"
Claude A:
"ok I'll avoid touching auth logic"
No conflicts. No manual coordination. Just AI syncing itself.
Under the hood:
• Local broker daemon (localhost)
• SQLite peer registry
• MCP servers per session
• Instant channel push messaging
• Auto peer discovery
• Cross-project communication
Everything runs locally. No cloud. No latency.
What it unlocks:
• Multi-agent coding without frameworks
• One Claude writes backend, another frontend
• One debugs while another refactors
• Research Claude feeds builder Claude
• Large projects split across AI workers
This is basically:
"spawn 5 Claudes and let them coordinate themselves"
Even crazier:
Each instance auto-summarizes what it's doing
Other Claudes can see:
• working directory
• git repo
• current task
• active files
They know what the others are working on.
Commands:
• list_peers → find all Claude sessions
• send_message → talk to another Claude
• set_summary → describe your task
• check_messages → manual fallback
So you can literally say:
"message peer 3: what are you working on?"
…and it responds instantly.
No orchestration layer.
No agent framework.
Just Claudes… talking.
This is the cleanest multi-agent system I've seen.
We're moving from:
1 AI assistant →
to
AI teams that coordinate themselves.
And it's all running on your machine.
Wild.
English
Andy Xor retweetledi
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SF public schools finally ends its 12-year experiment in removing the option of taking algebra in the eighth grade in pursuit of racial equity.
Every retarded left-wing nostrum that has no possibility of working gets a decade+ of runway before we have enough studies to prove that the thing that could never work didn't work.
The key problem of public policy must be how to shut down this pipeline, which begins by mass defunding of corrupted academic programs and NGO's.

English
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Eric Schmidt says the 10x advantage is no longer execution. It is defining what counts as success.
A programmer writes a spec and an evaluation function, runs it at 7pm, and wakes up to what was invented overnight.
The advantage now belongs to whoever can specify the problem precisely.
The rest will be automated.
English
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Little known fact, the Anthropic Labs team (the team I joined Anthropic to be on) shipped:
- MCP
- Skills
- Claude Desktop app
- Claude Code
It was just a few of us, shipping fast, trying to keep pace with what the model was capable of.
Those early Desktop computer use prototypes, back in the Sonnet 3.6 days, felt clunky and slow. But it was easy to squint and imagine all the ways people might use it once it got really good.
Fast forward to today. I am so excited to release full computer use in Cowork and Dispatch. Really excited to see what you do with it!
Claude@claudeai
You can now enable Claude to use your computer to complete tasks. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Research preview in Claude Cowork and Claude Code, macOS only.
English
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This is incredibly generous.
TSA agents across the country are relying on food pantries and community donations just to get by.
I remain the lone Dem to vote with my Republican colleagues to fully fund DHS and get people paid.
It should never come to this point.
Elon Musk@elonmusk
I would like to offer to pay the salaries of TSA personnel during this funding impasse that is negatively affecting the lives of so many Americans at airports throughout the country
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Andrej Karpathy says when AI agents fail, it's usually a skill issue, not a capability issue
You didn't write good enough instructions, didn't set up the right memory tool, or didn't parallelize correctly
"the real shift is working in macro actions"
One does research, one writes code, one plans, all running 20-minute tasks simultaneously
English
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