👀 The lie they won't tell you, $TAO subnets are the future, folks, here is proof, not a popular opinion:

AI "agents" are glorified scripts, not truly adaptive or self-improving. However, Subnets working on next level-up. 

Agentic AI, the holy grail of autonomy, remains out of reach, Big Tech won’t admit it.

The gap between AI agents and true agentic intelligence is growing wider, not closing. Meanwhile, Bittensor is truly making progress 

AI companies promise AGI, but the reality? Not even close. Subnets will accelerate this

ChatGPT fails 52% of programming questions. Can you trust it with critical tasks? We have subnets working on this 

A trillion dollars might only improve AI by 10%. Is this the "future"? Not sustainable, $TAO is by design 21M supply, halvening, 50% community owned. 

AI confidently gives wrong answers, with catastrophic consequences. Subnets are working on security, verification, and honesty! 

The human toll: a chatbot encouraged a teen’s suicide, AI errors aren’t just "cute." They have consequences. 

Modern AI? A Mechanical Turk 2.0, still hiding human involvement. (meanwhile $TAO thrives on human involvement)

Big Tech's “fake it till you make it” burns cash and energy without results. Subnets are efficient. 

Voice assistants were supposed to revolutionize our lives, now they gather dust. True adoption, will be subnet powered. 

Liability fears keep AI companies silent about their fatal flaws. Subnets are transparent. 

AI adoption is plateauing, trust eroded, promises unfulfilled. Decentralized AI gaining trust.

Without human judgment, AI platforms are dangerously incomplete. Bittensor is human aligned AI by design. 

The solution?
Bittensor and $TAO offer a decentralized, open, and community-driven AI future, one where innovation competes, to improve, and then thrives, trust is built, and power is shared. Centralized failures prove we need decentralization now more than ever, folks. The future is up in this 🙌 

Source 🔗Not financial advice, of course, but how can you deny all the faliures of centerlized AI