From what I've observed over the years, the biggest risk in scaling a blockchain/AI team isn't skill gaps—it's the culture of 'we can fix it later.' Hire people who own outcomes, not just code. Build trust by embedding blockchain's transparency into onboarding, not as an add‑on.

The real question is why we keep chasing shiny tech instead of solving real business pain. Blockchain fixes trust, not code. AI is not about raw power; it's about designing scenarios that matter. If you build for trust or context, you win. Stop chasing hype, start building.

AI landing isn't about computing power, it's about scenario understanding

The real question is whether your GTM is built on data or hype. If you only launch because the market says 'AI', you're chasing noise. Build a validation loop: pilot, measure, iterate. Trust is solved by transparent metrics, not fancy tech. Go to market with evidence, not hype.

Check out my latest article: I Built a Multi-AI Collaboration System — Then Realized the Real Value Isn't the "System" https://t.co/2E0aBN0ZKU via @LinkedIn

The real question is: are we designing AI to serve people or to serve data?

What we'll see next is AI that asks why, not just how. Human-centric means models built with scenario understanding, not raw data. Deploy by embedding ethics in training loops, not after the fact. Trust comes from transparency, not hype.

AI landing isn't about computing power, it's about scenario understanding

Everyone says LLMs are the future of content creation, but actually...

The real question is: are you hiring for talent or for culture fit? In blockchain teams, you need people who understand trust models, not just code. Build squads that own the problem, not the stack. Measure success by the value they create, not lines of code.

AI landing isn't about computing power, it's about scenario understanding

In blockchain, failure shows governance gaps, not consensus protocol

Everyone says tech is a tool, but actually it's a mirror of our values.

Here's what most people miss: product managers treat tech as a bolt-on, not a core value engine. The real metric is how blockchain's trust layer cuts cost, not how many nodes you run. Focus on scenario mapping, not raw compute. Build with business outcomes first.

AI landing isn't about computing power, it's about scenario understanding

From what I've observed over the years...

The real question is: are you treating LLMs like a black box or building the right data loops? In my startup, the ROI came from fine‑tuning on domain data, not from bigger GPU clusters. Trust, not compute, drives adoption.

From what I've observed over the years, tech isn't a magic wand—it’s a tool that amplifies human intent. Blockchain solves trust, not speed; AI solves context, not raw power. Build with purpose, not hype, and watch adoption grow.

AI landing isn't about computing power, it's about scenario understanding

This statement validates our internal assumptions at @irisgoai and further reinforces our plan to integrate the blockchain layer into the version that will be released in AIPC.