I've been thinking a lot about how AI agent networks should actually work. When we design a multi-agent system, we usually start with a "network" of nodes and connections. But that's a wrong and expensive move because connecting agents doesn't necessarily mean they can work together. A common connection tells us that Agent A can communicate with Agent B. It doesn't tell us whether Agent B can actually receive, understand, or process what Agent A produces. This has stayed with me through long nights and led me to a concept I've been exploring: receptivity. By receptivity, I mean a node's capacity to receive and handle something from another node.

A simple, weird breakdown

Imagine three construction workers: A, B, and C.

• Worker A is carrying a 50 lbs bag, and gives to B.
• Worker B receives and handles that bag, then gives to C.
• Worker C receives the bag and drops it because it can't handle it.

All three workers exist in the same space. But Worker C showed that its receptivity to B is invalid.
This is what we have:

A → B is a viable transfer.

A → C is not, even though A and C could communicate.

The important relationship isn't simply whether two nodes are connected. It's whether the receiving node can handle what the sending node provides.

Now, let's apply this to AI agents.

Imagine a space; I don't call it a network because there is no verification yet. Each node or agent can handle what the other did or pass it. Now, in this space, we have research agents, reasoning agents, coding agents, and verification agents. Each agent produces outputs that another agent may need to consume.

Instead of asking only:

"Which agent should connect to which?"

What if we also asked:

"What is each agent capable of receiving, processing, and transforming into useful work?"

That would mean evaluating connections based on things like:

• Input compatibility: Can B understand the output produced by A?
• Capability: Does B have the skills and tools required to process it?
• Capacity: Can B handle the workload?
• Context: Does B have enough information to perform its task?
• Authority: Is B permitted to act on what it receives?
• Verification: Can we determine whether the transfer and subsequent work succeeded?

This suggests two different layers:

Network topology: Who is connected to whom. Because sometimes, with 6 different nodes, the connection might not be sequential. Node 5 might only be able to receive or handle the capacity of node 3.

Operational receptivity: Which transfers are actually feasible, under what conditions? Sometimes conditions, or contracts, can also help with the capacity process, but it is good to experiment first before determining whether the receptivity is valid. And receptivity might not be a permanent property of a node. Agent B could accept a task now but reject the same task later because its context, resources, or workload have changed.

From what I have seen, the network results from the receptivity process, not something you can connect unthinkingly and call a network. Each connection between the nodes has a reason and truthfulness.

You see, the Airbnb market is not predefined. It is adaptable. Meaning each confirmed listing reservation adds to the market rate; for example, you have three listings in a market: A, B, C.

Listing A sold 3 nights for 300$ - 100 per day

Listing B sold 3 nights for 600$ - 200 per day

this create a market = max 200     ^ min 100

If listing C wants to enter that market, it cannot push to sell for $ 500 per day; it needs to push the rate between $ 100 and $ 200. If it wants to disrupt it, it needs to sell lower, or Airbnb will ignore your listing and push you down the search ranking because you are not playing the game.

Airbnb makes the fee when you get a reservation; the algorithm reinforces only that.

And listing C trying to push rates that are not within the market (100- 200) causes your listing C to be shadow-banned

Imagine this: a market with no buyers and rates - and whoever gets to sell first determines the market.

 I built crew out of necessity; I had no other option but to build something that enables me to control the full deployment of subagents that were behaving like they had an unlimited credit line, so that's why, after night thinking over it in detail, I created crews, which is an MCP that acts like a catalog with all the models and effort. The main agent has to use it within the budget. I made sure this has a hook and everything, so the base agent doesn't ignore it. Because of this, my weekly usage has dropped by 60% even though I'm sending 2x more prompts per week. If you guys want to test it out, please comment so I can drop the link.

It seems it is clear that both are necessary for live. And the confusion appears to exist when acting is confused with reacting. Someone who is in danger reacts based on what happened to him in the past. What about someone who acts in danger based on the unknown? What difference does it make? Well, the person who acts from the unknown is able to acquire fresh data, thus, making this person more adaptable to fix the problem or deal with the danger. However, the person who reacts based on the known will not solve the problem or deal with the danger, if that danger hasn’t been dealt before by him, thus this person will be in shock mode. Paralyzed, since it doesn’t move beyond its field of the known. Now, which one of the two is truth? It seems this is the wrong question. The concept of questioning is also a form of acting. Thus, we are questioning without knowing the answer. So, the person who reacts doesn’t have the ability to question based on what he doesn’t know, his questioning seems to be specifically directed towards defending its own knowledge, thus this makes this person dull.

I see that the thinking itself when it stops. It is trying to create the next thinking. So thinking creates its stop, and creates the need to generate the other thought. Does thought dies when it stops? Is sequence an illusion or something real? Im not saying that 1 2 3 doesn’t exist. But each number is whole. Is the previous number existence the thing that generates the next number? Following this pattern of thinking. I see something. Thought cannot generate the next thought because energy doesn’t generate energy. Just like water does not create water. So there’s this whatever it is that it is functioning while multiple thoughts appear to be in a sequence. This is what I call death. That exact word. When the movement ends, the next movement is not born because of the previous movement. Each movement is like it has its own purpose but it doesn’t know the bigger purpose. So as the next and the next movement. All of them don’t seem to be aware of the bigger purpose. The big purpose of all movements is seeing after you put the all movements together like you are putting together pieces of a puzzle into a the final whole puzzle picture. So, Death is the whatever that is that it is in between thoughts, and in between life itself.

Intelligence of the body doesn’t operate with words. It is different. It doesn’t require thinking in words. It seems thinking in words creates confusion to the intelligence of the body itself. It seems like this intelligence of the body it is self sufficiency and it doesn’t function properly when I force myself to think. It is like I’m trying to make it act like it doesn’t know how to walk when it already walks. This is basically what what happens when I force myself to think, and when I don’t force myself to think, and just operate without any words, I can’t believe how I create things so beautifully as an individual. So what’s this intelligence of the body? Is it muscle memory? It doesn’t seem to apply the same concepts. When I try to remember something, it makes it worst for me operate. But when I don’t try to remember, I see what I have to do to without words. It seems that words are like chains to this individual. When i try to remember, i pause and think hardly to remember. Sometimes it is spontaneous sometimes it takes a while to remember. However, this intelligence of the body, it seems to have a conflict with that specific procedure of remembering. But why?
It seems like remembering it is like asking the intelligence of the body that already walks to mimic walking and that’s why it stumbles. Because it is intentionally trying to look like it is trying to remember when it can see it. It is like I’m trying to remember that i have a hand when I can see the hand. this intelligence of the body seems to despise fragments. It seems to see fragments as masks of falseness that it needs to wear it in order to satisfy me. Now I’m here and I didn’t think a single word I just said at all. Who said the words if I didn’t think about it at all? It seems the only answer to this is that nothing wrote this words.

NOT A THING - > Nothing

I need you guys help to find an audio of k in which he talks about the human voice. Can you let me know which talk it is? I have been looking for it for like 2 months. Thank you guys in advance.

Yesterday, I was thinking about weird things like usual. And then I started to watch my thinking pattern. I saw that, in the process of my thinking, the first thought or component that always came to mind was "I"; anything I used to think "I" came as the first component. Then I went deeper, and I thought, if " I " comes out first all the time, this means that I'm behaving just like someone who has found land for the first time. The first thing it thinks is to *plant the flag, instead of exploring the area first; then I realize that this thinking pattern is like a water dam that blocks the actual flow of thinking by making the I the dam. So, thinking like this causes a tremendous limitation in the mind. It is like going from a single point to continuous points. Still, that single point causes a delay in thinking because thinking now needs to force itself to operate with that single point, instead of flowing freely and continuously. I don't know if I explained it well. let me know what you guys think.

The AI growth is dependent on human growth too because humans are the QA of the AI, meaning they are the gate that determines if the AI has done a good job, so that it can move to the next round. Meaning both are directly in a relationship and dependent on each other. The error occurs when the human disconnects from the relationship with the AI, allowing the AI to operate the project end-to-end. However, when the AI shows the final result, the human still needs to reason to determine whether the quality is good enough to say yes. And the way we humans reason is through noise and signal, meaning we need to filter out a large amount of noise and create a logical path to get the signal. Meaning, if the AI only shows us the signal, our reasoning might be corrupted. If someone doesn't understand the project the AI is working on, it will never end because the human is the gatekeeper.

The AI growth is dependent on human growth too because humans are the QA of the AI, meaning they are the gate that determines if the AI has done a good job, so that it can move to the next round. Meaning both are directly in a relationship and dependent on each other. The error occurs when the human disconnects from the relationship with the AI, allowing the AI to operate the project end-to-end. However, when the AI shows the final result, the human still needs to reason to determine whether the quality is good enough to say yes. And the way we humans reason is through noise and signal, meaning we need to filter out a large amount of noise and create a logical path to get the signal. Meaning, if the AI only shows us the signal, our reasoning might be corrupted. If someone doesn't understand the project the AI is working on, it will never end because the human is the gatekeeper.

Without me saying anything at all, is there space?

probably not. Because space exists when existence does.

Looking at something, like your hand. You can clearly see a beginning and an end.

So what's space without ground existence? without a beginning and an end.

Space exists constantly in the field of thought. Constant flows of thinking give you the illusion that the space between thoughts is space, when it isn't, because thought made that space. So what's space not touched by thought?

One of the most profound questions: if there is no space, what is there?

It is as if space is the representation of a single water drop from a vast ocean. And having constant drops of water gives you a deceptive impression that those continuous drops represent space.

Can someone live knowing this whole operation of space? What kind of person is that?

It seems this person won't operate in the known, because the known is like those drops of water from the vast ocean (the unknown).

It seems this person who operates with space is a person who is *what is. Who is dynamically between vast oceans and drops of water. It can fluctuate between the two without mixing them.

I have been working as an AI engineer for some time. Training models, and everything. Boring stuff.

People need to understand that these models are just generators. They don't actually think, however, that they have something we call grpo, which helps them refine their next answer.

So basically, if you are running the prompt in the same chat you created it in, the model's main obligation won't be to execute the prompt correctly. It will be to execute it like a king helping his prince become a king. It will be a totally corrupt execution.

Therefore, when you want to run the prompt, open a fresh chat and run it there. Then use the same chat you used to make the prompt and ask for a qa prompt. Then pick the output of the prompt generated in the generator chat, and paste it in the fresh qa chat with the qa prompt, and run it. Then you will get the true feedback.

The important point here is that running the prompt you generated in the same chat opens a flood of contamination, so the model won't feel like it has to complete the task properly. It will just treat the task as if it were in a monarchy.

I'm the author, and this is an outside experiment, not affiliated with Anthropic.

I wanted to know whether I could beat Claude Code's /compact at the one thing it is for: holding an agent's place when the context window is compacted.

Some background on why I cared. A long-running agent loses its place. It loops on work it already did, reports a summary as if it were an artifact, or stalls on a step that needs a human. So I built a deterministic layer, with no extra model calls, that writes a frozen position record at the end of each run and re-reads it at the start of the next. The bet was that an explicit, re-readable record would help the agent recover its next step after compaction better than /compact's summary does.

So I tested it properly. Pre-registered A/B, 96 trials, 48 per arm, across haiku/sonnet/opus, in the post-compaction regime. The question was whether the position anchor beats /compact on correct-next-action rate and held-place rate.

It does not. Correct-next-action delta: 0.000, p=1.000. Held-place: +0.042, p=0.819. /compact held.

The reason is worth stating plainly, because it is a quiet endorsement of /compact. It already writes the committed next step into its summary sections. The agent re-reads that step on re-entry, so a separate anchor is solving a problem /compact has already solved. If you rely on /compact to keep your place after a compaction, the data says it is doing its job.

That left me with a sharper question: what does /compact not cover? Three things, observed across more than 200 real /go runs.

It routes the task to a lane and a concrete next milestone, so the agent is not just re-entered; it is pointed.

It gates expensive work. On a low-relevance task it returns relevance=low, and the downstream retrieval call is skipped instead of run.

It blocks false progress. On the heavier runs, where this check is wired in, a run that produced only a summary, with no artifact, gate, test, or benchmark, got BLOCKED_NO_PROGRESS and exit code 1. Plain Python, so the block is deterministic, not a model deciding it was done.

None of those compete with /compact. They sit next to it: /compact preserves the next step, and the layer decides whether that step is worth taking and whether the run actually moved.

Full writeup, tests, and methodology: comment . If you build long agent runs on Claude Code, I am curious whether you have seen /compact lose the next step, or whether it holds for you the way it held here.

The problem I kept hitting is simple to state. A long-running agent loses its place. It loops on work it already did, reports a summary as if it were an artifact, or stalls on a step that needs a human. What it has lost is its journey position, four coordinates it cannot reconstruct from a compressed context window: its lane, its milestone, its gate, its blocker.

So I built a deterministic layer to track those coordinates, with no extra model calls. It adds five checkpoints around an existing pipeline. Two of them fire on every run: positioning and lane selection. A no-progress guard fires only on the heavier ones. Here is what that does in my own runs, not in a demo.

It has fired in more than 200 real pipeline runs. On each one it positions the task and routes it to a lane. In one case it took a "make this system beat the benchmarks" request and sent it to the recursive-prompt lane with a concrete next milestone, instead of letting the agent wander.

It gates expensive work. On a low-relevance task it returns relevance=low, and the downstream retrieval call is skipped instead of run. That is a real saved call on real traffic.

It blocks false progress. When a run produced only a summary, with no artifact, gate, test, or benchmark, the guard returned BLOCKED_NO_PROGRESS and exit code 1. It is plain Python, so that block is deterministic, not a model deciding it was done.

And the position records persist. Two weeks of runs, more than 200 sessions in total, each leaving a re-readable record of where the agent was.

Taken together, that is the layer doing real work, deterministically, with no model in the loop. Then there is the part I bet on that did not pay off. I am keeping it in.

I expected the frozen position record to help the agent recover the correct next step after the context was compacted. So I pre-registered an A/B: 96 trials, 48 per arm, across haiku/sonnet/opus, in that post-compaction regime. The anchor, the frozen position record, did not beat Claude Code's /compact. Here are the numbers. Correct-next-action delta: 0.000, p=1.000. Held-place: +0.042, p=0.819. The reason is boring and useful: /compact already writes the next step into its summary, so for that one job the anchor was redundant.

The lesson is not that the layer fails. It is that the layer earns its keep where /compact does nothing, on routing, gating, and blocking false progress, and not on next-step recovery, which /compact already handles. That is a sharper claim than I started with, and the null is what sharpened it.

Full writeup, tests, and methodology. Comment to get the research paper. Curious whether others have measured agent position-loss directly, or just felt it.

Doubt him

Again, doubt him

1 - do NOT listen to him when he’s talking alone. You won’t understand anything at all

LISTEN TO K IN DISCUSSION GROUPS FIRST

2 - once you have the grasp and want to go deeper

LISTEN TO K WITH DAVID BOHM OR K ALONE

3 - this is where you get to see what you are.

TAKE A BLANK SHEET OF PAPER AND WRITE DOWN WHAT K IS TALKING BUT USE YOUR LIFE AS THE SUBJECT. EXPLAIN IN YOUR OWN WORDS.

YOU WONT KNOW WHAT TO WRITE BUT YOU WILL WRITE.

I didn’t think at all I was going to write all of that.

Ending it

What does it mean to end?

See right now, I don’t know what I’m going to say.

Or maybe this whatever it is - is happening and inside of me thought is trying to describe.

But I focus my attention to whatever it is and not to thought to describe. Therefore this removes the pressure for thought to create another pressure thought to answer itself, because thought is not the source of the message, thought is just the messenger.

Now, what’s sorrow?

This word has a been around for a long time.

Sorrow means for humans a super long term sadness that it is much more intense than sadness.

So humans just created "super plus words” to describe things that they can’t seem to fathom.

I’m here and I don’t know the next word at all.

Now, What does sorrow have to do with me?

What’s ending?

Ending is not the same as finishing it.

You finish a task.

No way back to that task. It is finished.

You start a task, and you end it.

However, you can start the task again. So ending, leaves the possibility of starting.

So you can’t end something without knowing where did you start it.

Because the two are one single coin with different sides.

So ending sorrow means you need to find the starting point of that sorrow.

Once you see the start clearly without imagination. Naturally it ends.

So imagine you have a long term sadness (sorrow) since you were a boy/girl

Something tragic has happened to you.

And psychologists say that we ought to find where the trauma begun so we can see it play out. Because anything that starts it ends.

But with confabulation of memories, the starting point disappears, or gets obfuscate by memories.

So ending sorrow doesn’t happen with methods, only when you see it clearly it where it begun. Then it flowers, and it will end.

I had no idea, and no plan that I was going to write all of that. What’s this? It is insane. It seems words are just the messenger of this whatever "is".

What does it means?

I listen to a sound

But I listen to also things without sound

Inward thinking with music, past conversations, and words

I listen to them but they have no sound at all

How?

What is the root meaning of sound?

The Best meaning I came up is a sensation between the hears

But what about the inward sound?

This difference made me question this

If both are receive by me. And I’m giving them the same name, but one does not equal the other. Something is wrong with the meaning of it.

I think sound is not just noise. I think sound is a reactive shapeless alert system

It doesn’t have a fixed shape. It can’t. It changes itself from noise into "inward noise"

It travels through the boundaries of what’s possible to hear and what’s possible to hear it through.

This whatever thing has the ability to be active with sound and without it.

So what is it?

It comes when someone is talking to you. Sound inside you. Then it comes when you are thinking.

Now the gold question is

How do I know that I’m listening?

I pay attention to this word "know”

It can only come when you are already know something

So the mechanism to deal with the known is with memory, remembering

Wait a second

So this means that I need to remember to listen?

I don’t think so

Imagine if someone needs to remember to listen? That person would be living in a non present world.

That person would need to be living in full illusions worlds, all made by the brain, all made by memories.

So listening is never possible with the known.

Because to listen with the known you have to use your thinking to make you think that you are listening.

Look at the delay

So then I see this

And I went into what is listening without knowing?

Without knowing is like I’m in a classroom for the very first time. All eager to listen to the lecture without having any prior knowledge or memory of it.

It is like you are listening to something genuinely new to you.

This requires me to drop all my memories, all my knowledge, everything I know.

So you can drop something and still pick it up again later

Now that I listen without knowing, I’m fully present here to listen

So what this means?

Listening without knowing how to listen is the closest thing to true listening

There are no filters, no discernible actions towards the message

The signal just arrives to you clean

This can be done by going into a forest or the outside and you listen to birds, airplanes sounds. There’s no filter. Because the sound is what is.

So what world would this be if people listen without knowing how to listen? If they listen without using their memories to corrupt the message?

Who are you if you listen "without knowing"?

The funny thing here is that listening without knowing is something outside of time. It doesn’t have a start nor an end. It is timeless. Not bound by material processes.