How LLM is Related to Blockchain and IoT? What can we learn?

Greetings, tech lovers! I'm plunging into the exhilarating realm of technology disruptions, armed with my expertise to guide technology and products through the stormy aftermath of market shake-ups. Picture a universe where technology disruption isn't merely a hurdle but a treasure trove of untapped possibilities.

Countless are mesmerized by the mayhem, captivated by the commotion and spectacle of the explosion. The majority dash towards the inferno, yet it's the astute minority who spot the golden chances unveiled by the turmoil.

Pause for a moment and think about Blockchain. Recall the times when everyone attempted to solve every problem with the Blockchain hammer? That was a quintessential example of sprinting towards the commotion.

Now, let's step into the era of Large Language Models (LLMs). Indeed, LLMs have flipped the tech world on its head, but they aren't the magic solution for every problem out there. Stay alert and don't be sidetracked!

Take the case of Long Island Iced Tea Corp., which rebranded itself as Long Blockchain Corp. amidst the cryptocurrency frenzy in December 2017. Despite having no substantial blockchain-related business plan, the mere announcement of pivoting to blockchain technology caused its stock price to skyrocket.

However, the rebranding was perceived by many as a ploy to ride the blockchain wave without a clear strategy for integrating the technology. The company's lack of a coherent blockchain strategy, coupled with scrutiny from the SEC, led to its delisting from the Nasdaq and eventual dissolution. A stark warning for startups tempted to jump on the blockchain bandwagon without a solid plan or understanding of the technology.

The real magic of LLMs lies not just in the disruption they create but in the voids they expose. These voids are your gold mines. Grab this moment to carve out your niche or risk being swept away in the explosion's aftermath.

Consider the fictional example of "MediChatAI," a startup that aimed to revolutionize healthcare with an AI-driven chatbot for diagnosing medical conditions based on user symptoms. Despite integrating a powerful LLM, they neglected the importance of medical expertise, leading to numerous misdiagnoses and a tarnished reputation. A cautionary tale for startups about the risks of deploying LLMs without proper domain expertise, especially in critical sectors like healthcare.

We've witnessed this pattern in blockchain disruption, where every startup rushed to become a blockchain startup. Before that, it happened with IoT, where companies scrambled to create yet another "smart" device.

Learn from history—be strategic, not just trendy.

Disruption shouldn't be your primary strategy. Instead, it can serve as a catalyst to accelerate growth within a well-defined market niche—one that has a clear problem statement and an accepted solution by customers.

However, if disruption becomes the core driver of your strategy, you risk becoming just another failed startup story.