Browse Comments — Clean (de-noised)

Adam Ritchin I am not Catholic either but I too would love to have a sit down chat with Pope Leo. I have so many questions.

Rand Strauss There is no alignment problem for LLM tech, so long as it makes money.

Esme apni photo lagane bali kya baat hai?

Mohammed Mirza

The real question behind AI is exactly right, who benefits and who sets the direction is the most important conversation we're not having enough

Why do we always have to make it us vs them. The pot cannot call the kettle black.

Kristof Schoenaerts thanks for bringing attention to facts, research and data, and referencing the sources. It inspires further discovery in those who are interested in the topic.

This is such an important reality check especially when studies are already showing AI is economically viable in only a fraction of roles despite the massive hype around replacing humans. I think a lot of companies underestimated that scaling AI also means scaling infrastructure, oversight, context management and decision accountability.

Oh, I definitely agree. AI was never a problem, the problem is how people deal with it. I will definitely visit your website 👍👍

Interesting shift. The real transformation won’t be in automation itself but in how institutions redesign decision ownership around it.

All the questions are valid, but lots of what you say humanity was already exhibiting, AI is showing us what we’ve become. People don’t like mirrors. I wrote about it in my latest article:

Most teams will underestimate the integration layer here. It’s not about adopting models, it’s about rethinking data access, permissions, and auditability before agents can operate at scale in real environments.

The gap between I finished the course and I can build this in production is where most developers get stuck. Resources like this that show complete working systems not just isolated code snippets are genuinely rare. As a Full Stack Dev this is going straight into my learning roadmap. Appreciate you and Oracle for making this accessible! 🙏

Adj. Prof. Dr. Behrang (Hani) Parhizkar good that UAE can pilot agentic at this scale, for the rest of the world to see the teething issues and learn from there. That’s exactly what happed with Real Estate Asset Tokenization in UAE, where most token holders are stuck, because real estate in UAE tanked 35% over night. Technology can only solve so much, the business fundamentals needs to be right ultimately...

Evan Hunter Evan the nuclear analogy lands hard because it's exact. We didn't let private companies self-regulate fissile material and call it innovation. The distinction that made nuclear different was that governments understood the catastrophic downside before widespread deployment — not after. The governance infrastructure preceded the technology at scale. AI governance is running in reverse. The technology is deployed at scale while the governance infrastructure is still being argued about in congressional hearings. Your point about C-suite and board accountability preceding vendor accountability is right — the problem is most boards don't yet have the technical literacy to ask the right questions. Which creates a gap that vendors fill with their own risk framing. The Vatican moment matters because it's one of the architects saying publicly that the internal accountability structure is insufficient. That's the signal boards should be acting on right now.

Chicago’s Best. Al Capone and Pope Leo.

This is the kind of resource that shortens the learning curve massively. A lot of people say they want to learn AI... but they stay trapped in tutorial loops. Watching videos. Saving threads. Never actually building. What stood out to me here is the focus on production-ready systems.

Demis, we are slowly moving from “AI that responds” to “AI that acts.” And that changes everything. Because once systems can reason + execute, the real challenge is no longer intelligence, it’s control, accountability, and trust in real-world actions. AGI is not just a capability milestone anymore... It’s becoming a systems design problem.

there’s no effective leadership without emotional intelligence. it’s an emotional game

The transition from 'Scaling' to 'Ensembles' is the reality check the industry needs. Orchestrating hundreds of specialized models for a fraction of the cost is true technical maturity.