Imagine using the taste system of a designer, founder, creative director, architect, or product builder. Not to copy them, but to understand how they make decisions.
In the AI era, taste might not just be personal, it could become a product.
#ai#promptengineering#buildinpublic
Prompt → context → loops → graphs.
The bottleneck keeps moving.
We started optimizing prompts. Now we’re designing systems of agents, tools, memory, and humans.
What comes after graph engineering?
#AI#AIAgents#FutureOfWork
AI is costing more than employees?
AI was supposed to cut costs.
Instead, some teams are spending more on agents and tokens than the humans managing them.
Stop tokenmaxxing. Start outcome-maxxing.
Bad AI management is dysfunction at machine speed.
#AI#AIAgents#FutureOfWork
Every #company has a #brain. Build your #companybrain
It’s scattered across tools and people.
The next big AI idea may not be more agents.
It may be a shared memory layer.
Searchable. Connected. Conversational.
The issue isn’t knowledge.
It’s retrieving context.
@garrytan@garrytan, here is an idea I have posted about, where everyone’s brain or taste brain becomes a product. People can sell or open sourced their brains.
And the builder chooses different brains they want to incorporate while building.
Imagine using the taste system of a designer, founder, creative director, architect, or product builder. Not to copy them, but to understand how they make decisions.
In the AI era, taste might not just be personal, it could become a product.
#ai#promptengineering#buildinpublic
Imagine using the taste system of a designer, founder, creative director, architect, or product builder. Not to copy them, but to understand how they make decisions.
In the AI era, taste might not just be personal, it could become a product.
#ai#promptengineering#buildinpublic
@zhaoayn Very true. And here in what the video is explaining, everyone will have a different take on what good quality is to them.
Everyone will have different taste.
Most people are building a second brain for knowledge.
I think the next version is a second brain for Taste.
Not just what you save.
But why it works, what pattern it reveals, what you would reuse, and what you would reject.
In the AI era, taste becomes context.
A prompt library tells AI what to do.
A taste system tells AI what good should feel like.
That is the shift I am thinking about.
In the AI era, taste becomes context.
https://t.co/4dVwSw2VpT
AI can generate endless options now.
But most outputs still feel generic.
The missing layer is taste.
What you keep.
What you reject.
What you repeat.
That is why I am building a taste brain in Obsidian.
Taste becomes context.
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Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.