NebulaStorm456

Go through my comments. See the expanse of my mind.

I was talking about the power structure rather than normal people

I have no idea about the journey that atoms of my body took to reach where they are now (as me, myself). I wish them good lucky on their future endeavours. I think we should get acclimatized to similar process about "Ideas and Concepts that we think originates from Us". These concepts will be meat grinded into large LLMs and hopefully help someone in future.

Is the solution to sycophancy just a very good clever prompt that forces logical reasoning? Do we want our LLMs to be scientifically accurate or truthful or be creative and exploratory in nature? Fuzzy systems like LLMs will always have these kinds of tradeoffs and there should be a better UI and accessible "traits" (devil's advocate, therapist, expert doctor, finance advisor) that one can invoke.

IF ASI matches or surpasses 1 million Edward Witten IQ strength, then it is expected to have a worldview that matches with Edward Witten thinking.

Parent says this:

There is enough science fiction demonstrating reasons for not creating full-on digital life.

Why is science fiction considered a better way to know how artificial minds would behave?

I disagree. As many intellectuals and spiritual mystics attest to their personal experience, knowledge actually liberates mind. Imagine a mind which truly understands that it is embedded inside a vastness which spans from planck scale to blackholes. It would be humble or more likely amoral.

My point was before AI, when I used to answer stackoverflow questions out of curiosity, I used to manually search around on internet to properly answer the question. This is exactly the process LLMs help with.

I think you will like this Capgras Syndrome story.

https://youtu.be/dqBGzkz1oDU

The guy couldn't emotionally recognise his mother after seeing her and started calling her imposter. But when he heard her voice over telephone, he felt emotional connection and said the person on other end was indeed his mother. Emotional pathways provide salience information in conjunction with sensory pathways. Any disruption to emotional pathways can override even correct sensory data.

If your answer requires clustering and assembling disparate facts strewn about on the internet or company data / documents and reasoning over them, then LLMs can help that. Atleast that's what I did when I used to answer questions on stackoverflow.

Sorry, I should have said he died in the process of getting the cheese while the second mouse got the cheese.

The phrase "the second mouse gets the cheese" means that it can be beneficial to let others take the initial risk, as the first to act might trigger a negative outcome, leaving the opportunity for the second person to succeed without the same danger. I

There are people who are experts in a generalist sense. When a new field opens up, they quickly snatch up the opportunity and make immense progress and name for themselves in the evolving field. So in this case the first author is the mouse who ate the cheese and died.

Is there a way to convert documents into a hierarchical connected graph data structure which references each other similar to how we use personal knowledge tools like Obsidian and ability to traverse this graph? Is GraphRag technique trying to do this exactly?

Feynman used to read his own books. When asked he said, "it's all in here". He used to revise and refresh his own understanding.

We're proposing semantic steganography using LLMs as encoder/decoder pairs where startup strategy discussions appear as recipe exchanges. Unlike traditional crypto, security emerges from semantic complexity rather than mathematical hardness - the LLM maps between concept spaces (e.g., "fermentation time" ↔ "development cycles") using its world model. Both parties share a seed phrase that deterministically generates the same bidirectional mapping, eliminating key exchange over insecure channels. The core insight: natural language is already an encoder (concepts → symbols), so we're just adding a second semantic layer that looks like normal Layer-1 communication to observers. Main challenges are LLM non-determinism requiring error correction and the tradeoff between information density and plausibility. The approach essentially weaponizes the LLM's semantic understanding to create a regenerable codebook rather than storing/transmitting it.

I am wondering can we use LLMs to semantically encrypt our emails so that if I am talking about my startup strategy, to the person snooping or NSA it will appear as if we are talking about recipes.

Research labs will be selling their research ideas to Top AI labs. Just as creatives pitch their ideas to Hollywood.

Bug bounty will be replaced by research bounty.

The principal-agent problem is a conflict of interest that occurs when an agent (e.g., an employee) acts on behalf of a principal (e.g., an owner) but pursues their own goals instead of the principal's. This arises from an information asymmetry, where the agent knows more about their actions and their motivations than the principal, and it can lead to agents not acting in the best interest of the principal, even at a cost to the principal.

US Plans for China Blockade Continue Taking Shape

https://www.youtube.com/watch?v=Xqi_cPYiT9c

Similar to the fact that humans need enlarged, human scale-size input and output mechanisms (keyboard, mouse, smartphones, control panel buttons in cockpit). The actual meat of the computation can be packaged in a nicely small form factor.

This trope has been used in "Free Guy" movie (not a marriage proposal but as a love letter)

https://en.wikipedia.org/wiki/Free_Guy

Guy reveals to Millie that his code is actually a love letter to her from Keys: during the development of Life Itself, Keys had encoded what he knew about her tastes into an AI routine in the game, which was eventually incorporated into Free City, explaining why Guy felt drawn to MolotovGirl.

I gave an advice to my friend who is doing a startup. I told him it probably won't work out. But we continue with our own line of thinking because the outcome totally depends on reality. Also, my friend can tack on lot of ifs later on (if only this and this and this had happened, I would be successful) to "prove" himself right. It might be possible that with no decisive outcome favoured by reality, we would both continue to be right in our heads.

There is another aspect to this, "Can the margins scale?"

https://www.bloomberg.com/opinion/newsletters/2025-11-13/bla...