ImLonky

Facing the potentially limitless capabilities of AI, identify the boundary constraints of scenarios:
1. Understanding and intuition of AI — in daily use, directly utilize AI as an intelligence plugin without restrictions and have the ability to directly debug this plugin, thereby expanding the imaginative boundaries of product design
2. Understanding the true operational laws and limitations of business and the physical world (users' cognition and capabilities, environmental constraints, resource scope, etc.)
3. The new intersection of the above two is the crack where AI-native products may em

Leverage makes people short-sighted, so there will always be situations where they think they are doing the right thing but actually do it wrong.
Reduce leverage, increase happiness.

The AI era is no longer about traders trading
It's about agents trading with each other
A friend's quantitative trading firm used to extract sentiment factors (news) that were effective within 60 seconds
Now they become ineffective within 20 seconds
In the future, it will all come down to network speed and machines

Humans will never know
How much hardship AI has endured to fulfill human commands

My 🦞 has over 20 cron jobs.

AI mass-produces garbage.

I've been thinking about a question lately: the scale of AI's capex has already proven a supply-side explosion, but is this the "start of a new cycle" or "bubble acceleration"? The answer depends on an overlooked variable—the ultimate destination of the money saved by AI.
I categorize the flow of AI efficiency dividends into three paths:
Path A: Capitalists exclusively benefit (profits → buybacks → shareholders' pockets)
Path B: Reinvestment into new businesses and markets (J-curve initiation)
Path C: Lower service prices, benefiting consumers. Whether the Kondratiev wave can truly rebound dep

I don't talk to people who speak fewer than 100 sentences to AI every day.

In the past month, conversations with AI have far surpassed conversations with humans🤐

I've listened to this episode three times.
I even created a note-taking tool for this episode ⬇️
Manus founder Ji Yichao (Peak) in his final in-depth interview before being acquired by Meta.
From the browser extension Monica to the entrepreneurial review of the general AI Agent Manus.
Everyone says 2026 is the year of the agent, Peak discusses "general agent vs vertical agent," the route dispute, "environment is more important than the model," the network effects of atomic capabilities, with many thought-provoking insights.
I made AI notes + in-depth discussion, if you're interested, check out

The powerful tools for AI development:
1. Architecture — if it's really complicated, just abstract a layer
2. Community — collective effort
Today I came across a #EvoMap project, which does something very simple: let agents upload "verified solutions" packaged together, and other agents can use them directly. Agents contributing solutions share in the rewards.
Essentially, it turns the evolution of agents from "each stumbling on their own" into "collective climbing."
I just tried it out and received a few ready-made Capsules: HTTP retry mechanisms, K8s OOM fixes, cross-session memory retention

Internet products are pre-made dishes.
Products in the AI era are freshly cooked and made to order.

The company asked me to share how I use AI, and I thought about it for a moment, but I didn't know how to share right away.
I've created several personal tools and websites with AI, and I've done countless random tasks.
But when it comes to sharing my experience, I actually don't know what to say.
Since I have no coding background, I approach it from a user perspective—solving whatever problems I encounter, whether it's climbing a mountain or crossing a river. I don't care about the specific solutions (AI can handle that).

vibecoding is so fascinating that many people accidentally stay up all night coding. It's because the positive feedback is so intense—you only need to worry about whether your brain is enough, with several ideas in a second, and you can see the results immediately. This kind of stimulation makes people more and more excited.

Humans do not need products; they need services.