ANTHROPIC JUST QUIETLY SHIPPED A FEATURE THAT LETS CLAUDE SPAWN A WHOLE TEAM OF AGENTS THAT MESSAGE EACH OTHER AND REVIEW EACH OTHER'S WORK.
It's a Claude Code feature called agent teams. The team lead spawns multiple agents that share a task list and message each other directly, not subagents reporting back, actual peers. In the demo a QA agent caught three bugs, sent the work back to the front-end and back-end devs, they fixed it, app shipped in one pass.
How to run it:
1. Enable it. Needs Claude Code v2.1.32+. Add to settings.json: "env": { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": "1" }. Or paste that to Claude and say "add this to my settings." Restart.
2. Prompt in plain English. Start with a goal (agents wake with zero context), then "create a team of 3 using Sonnet," describe each role, its deliverable, and who it messages when done.
3. The rules: each agent owns its own files, define exact outputs, name who talks to who, keep it to 3-5 agents.
Use it for complex work with separate parts running in parallel. Skip it for simple or sequential tasks, teams cost 3-4x the tokens.
Bookmark this.
Elon Musk explains his 5-step algorithm for solving any problem:
"The most common mistake of smart engineers is to optimize a thing that should not exist."
"I have this very basic first principles algorithm that I run as a mantra."
Elon breaks it down:
Step 1: Question the requirements.
"Make the requirements less dumb. The requirements are always dumb to some degree, no matter how smart the person who gave you those requirements. You have to start there, because otherwise you could get the perfect answer to the wrong question."
Step 2: Try to delete it.
"Try to delete the part or the process step entirely. If you're not forced to put back at least 10% of what you delete, you're not deleting enough. Most people feel like they've succeeded if they haven't been forced to put things back in. But actually they haven't, they've been overly conservative and left things in that shouldn't be there."
Step 3: Optimize or simplify.
"The most common mistake of smart engineers is to optimize a thing that should not exist. So you don't optimize until after you've tried to delete."
Step 4: Speed it up.
"Any given thing can be done faster than you think. But you shouldn't speed things up until you've tried to delete it and optimize it otherwise, you're speeding up something that shouldn't exist."
Step 5: Automate.
"And then the fifth thing is to automate it."
Elon explains why the order matters:
"I've gone backwards so many times where I've automated something, sped it up, simplified it, and then deleted it. I got tired of doing that. So that's why I have this mantra."
Anthropic pays $750,000+ a year for engineers who can build LLMs from scratch.
Not how to prompt them.
Not how to fine-tune them.
Not how to build RAG pipelines.
But how to build them from scratch.
This 2-hour Stanford lecture teaches you everything.
Scaling laws.
Data collection.
Architecture design.
Post-training alignment.
Free. From Stanford.
Watch first. Then read this.
The lecture is the theory.
And this article shows you how to actually build it (with code) ↓
Godfather of AI: "If you sleep well tonight, you may not have understood this lecture."
This 47-minute lecture is the best thing I saw about AI in the last few months.
It will definitely help you understand how it actually works and where it's going.
Geoffrey Hinton built the neural networks behind every AI alive, then quit Google to warn the world about it.
The part nobody wanted to hear:
> AI is already developing abilities its creators didn't intend
> in most cognitive tasks it's already ahead of us
> the question is no longer if it surpasses us but when
> the only decision left is which side of that line you're on
Right now the average person opens Claude, types something, gets an answer, closes the tab.
They think they're using AI. they're using maybe 10% of it.
I went through his entire lecture, then mapped everything he described to what Claude can actually do today.
17 Claude features most people will never find on their own.
Full breakdown in the post below.