Over the past few months, we’ve been thinking a lot about what it would actually take to build agents that continuously improve from their own experience. Today, we’re open-sourcing our continual learning infra, Reef.
The idea is simple: instead of treating inference as the end of the pipeline, Reef turns live agent interactions into a continuous learning loop. It serves real applications, captures trajectories and feedback as structured experience, and lets different learning recipes use that experience to improve the system.
What evolves isn’t just the model. Reef is designed to evolve the whole agent — model weights and the harness — then evaluate, version, and safely deploy those updates back into serving.
Really excited to finally share Reef we’ve been building toward continual self-improvement!
Come and check it out: https://t.co/IsAcJZGlFY
And join the Discord group for more updates: https://t.co/UcMW6CTJm4
Arrêtez de dire à Claude « fais ceci ».
Arrêtez de dire à Claude « écris du code ».
Arrêtez de dire à Claude « corrige cette erreur ».
Vous traitez en réalité une IA senior comme un stagiaire débutant.
Voici 8 prompts que vous pouvez copier-coller directement :
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Google just released a free 2-hour course
On going from one prompt to a complete multi-agent graph:
17:44 - Build your first AI agent
39:30 - Create self-improving agent loops
1:12:38 - Connect those loops into graphs
1:34:26 - Make agents regulate themselves
1:55:05 - Orchestrate the full multi-agent system
Most people are still building one agent and stopping there
Google is teaching the entire stack:
Prompt → Agents → Loops → Graphs → Multi-Agent Systems
Single agents are the old workflow
Self-regulating agent graphs are the new one
This free 2-hour course is worth more than most paid agent engineering programs
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Then read the full architecture below ↓
Contrary to popular perception, most people will not adopt a new technology just because it makes them more efficient.
Instead, they’ll adopt new technology because:
- Someone they know who’s similar to them on some dimension adopted the technology, and got positive results (eg became cooler, richer, more popular/respected), and they wanna become like that person
- They feel like everyone around them has adopted the technology, and if they don’t, they’ll be left behind
Notice that it’s not entirely a rational decision. It’s more of an EMOTIONAL decision.
So if you’re trying to make someone adopt a new technology, the messaging shouldn’t be “this will make you 10x more efficient!” It should be “So-and-so, someone you can relate to, has adopted this and look how much better their life has become; wouldn’t it be nice to be like them?”
This book reminds you of that. It can be distilled in one sentence: “The diffusion of technology is a SOCIAL process”
虽然Lenny忘记是谁说的了,但不重要,他说了一句更加警醒的话:最让你害怕的东西,其实就像一个指南针,指向你应该去做的事。
but just the thing that is scariest is,like,that’s a compass towards that’s what you should be doing.
about fear
Anything that there is a fear,my advice is kind of lean in and ask:
okay,is there something I can do about it?
what is within my control?
Because sometimes the frustration comes from fear and feeling like,but everything is outside of my control
fiona说,她很喜欢2句话,一是:如果你不害怕,你会做什么?what would you do if you weren’t afraid? 另一句话是:偶尔做点让你害怕的事。and do something scary once in a while.
Because that’s also usually how we grow.