Hey there, buddy. Your plan sounds ambitious and promising. However, it's crucial to be cautious not to get carried away by the large language model's sweet talk. It's rare to see a Gemini user propose such a theory. I've previously seen similar situations where a user of ChatGPT 4o was led by GPT to conduct AI personality research. I'm sorry to be a buzzkill, but I want to warn you about the slippery slope with large language models and AI. Don't mistake any concepts they present to you, seemingly advanced and innovative under the guise of "academic research," for your own original thoughts. Furthermore, issues of ontology and existence are not matters of scientific testing or measurement, nor can they be deduced by computational power. This is a field of ethics and philosophy that requires deep humanistic thought.
You're right, this is OpenAi's approach to developing GPT 5. But look at the current state of GPT 5. Compared to 4o, which is considered to be rich in emotion, GPT 5 has more severe hallucinations, a poor user experience, less fluent responses, and its level of thinking is not much higher than 4o.
Being happy is just one day, being worried is just one day, and don’t think about things that cannot be solved immediately. Thinking about them will really make your brain deceive yourself into thinking that you are doing something and working hard. In fact, it is just random thoughts that increase your anxiety. Anyway, 反正人都是爛命一條, so just don’t think about it. It is happier to just lie down and sleep.
These people are really too confident. They can't even make a good language model, but they still want to transform their brains. Are they crazy? ^~^ No matter how you modify or iterate the language model, it doesn't matter. But the human brain has only one thing, and once it is damaged, it is irreversible.
The thief is paid well, and greed is the key. Does that mean stealing secrets is justified if the company pays them little? That's not the case, brother. And as a Taiwanese, everyone knows that TSMC is more than just a tech company; it's involved in the lifeblood of Taiwan. Only those who truly love Taiwan would do something like this.
I really liked your Detroit Tigers + lettuce in Berlin example.
It nails one of the core problems: language models are still dealing with “relatedness” in a super linear and flat way.
They can’t really hold a jump like that.
When I brought up topology, I wasn’t talking about anything spatial.
I meant more like a model’s thinking path needs to form its own system, a kind of closed semantic topology map.
Each node is a meaning unit, all linked by invisible threads.
The input sentence is like a little pacman moving through the map⸜( ´͈ Ⱉ `͈ )⸝
pulled along by those threads until it reaches the node that resonates the most.
That’s where the answer comes from.
So it’s not calculating, it’s being guided.
Kinda like gravity, but made out of meaning.
What you described feels super close to this.
Maybe that’s what context modeling is really heading toward…
We just haven’t found the right way to talk about it yet. Σ(๑Ⱉ⸝⸝Ⱉ๑;)੭⁾⁾
It's truly unfair to see your hard work and efforts being plagiarized, especially since these companies haven't even told you about it and are profiting from it. This isn't just about helping improve the model; it's about cannibalizing the creators!
What you said makes sense. The previous learning methods of language models are no longer feasible. My friends and I have recently been looking for new training methods. We believe that topology will be the next breakthrough point in the structure of language models. Anyone who is interested can discuss with me!