There's a classic analogy that perfectly captures this: when all you have is a hammer, everything looks like a nail. The current AI market is trapped in exactly this vicious cycle — many projects are trying to apply one universal large model to every scenario.
But this approach is clearly not viable. Analyzing on-chain financial ledgers requires rigorous logical computation, while interpreting the momentum of NFT communities demands social sensitivity. Their underlying requirements are fundamentally different.
This is why the market is beginning to see differentiation — more and more teams are realizing that one-size-fits-all solutions are bound to hit a ceiling. AI applications that are professionally targeted and tailored to specific scenarios are the thinking that can truly be implemented. Finding a balance between financial data precision and social insight may be the key to the next round of competition.
I said it all along - the "one-size-fits-all" approach for large models was bound to crash sooner or later. Finance requires logic, social needs intuition, and forcing everything into one framework is destined to fail.
Looks like only vertical specialization can survive.
This wave of differentiation is inevitable, right? Whoever specializes wins.
The point about general solutions having a ceiling is spot-on, but how many can actually execute well on vertical specialization...
Treating everything like a nail when you only have a hammer - ends up breaking everything, lol.
Finance and social are completely different logic systems, and you want one model to dominate both? Overthinking it.
Next, it'll come down to who can find balance across these two ends - that's where the real skill is.
There's a classic analogy that perfectly captures this: when all you have is a hammer, everything looks like a nail. The current AI market is trapped in exactly this vicious cycle — many projects are trying to apply one universal large model to every scenario.
But this approach is clearly not viable. Analyzing on-chain financial ledgers requires rigorous logical computation, while interpreting the momentum of NFT communities demands social sensitivity. Their underlying requirements are fundamentally different.
This is why the market is beginning to see differentiation — more and more teams are realizing that one-size-fits-all solutions are bound to hit a ceiling. AI applications that are professionally targeted and tailored to specific scenarios are the thinking that can truly be implemented. Finding a balance between financial data precision and social insight may be the key to the next round of competition.