Browse Comments — Clean (de-noised)

Thanks Qi Han Wong, very interesting!This maps very directly to legal AI too. Language is not jurisdiction. A Spanish prompt may require Argentine, Spanish, Mexican, or US law. An English contract may still be governed by Argentine law. If the model silently treats language as a proxy for geography or governing law, it may understand the risk correctly but route the answer through the wrong institutional pathway. For legal and compliance AI, explicit jurisdiction anchoring is not a detail. It is a safety layer: governing law, forum, user location, institutional authority, and role of the user all matter.

Spent time recently auditing how many tools sit in a typical AI workflow and the number was embarrassing. The switching cost adds up in ways that are hard to measure but easy to feel. A unified workspace solves a real problem, not just a convenience one, Paul Storm

Stack

Luís, I’ve seen this "human anatomy" analogy all over LinkedIn lately. It’s a clean framework, but it dangerously oversimplifies the reality of high-stakes environments. Bridging bedside medicine and AI architecture, I see a major flaw: this body is missing an immune system. In a hospital, "agents with hands" operating without strict, fail-closed deterministic gates is a recipe for fatal never-events. The clean logic of enterprise AI always shatters against the chaotic, noisy reality of clinical workflows. We need less hype about "brains" and more focus on "immune responses." I'd value your thoughts: 1) Technically, how do we architect this deterministic "immune system" into the MCP layer to intercept hallucinated agent actions? 2) Clinically, how do we stop this "brain + hands" hype from pushing leadership to deploy autonomous systems before EHR data is actually clean?

STACK

black humor

I don't think it's going anywhere... I still depend on stack overflow for more complex coding. You never know what you can find out still!

Hector Zenil shameless rebranding

The future belongs to platforms that simplify execution Not just those with the smartest models

Are we developing technology over that human lives or making businesses to replace humans. It's really a question when we are getting degrees and AI is making no worth. There are not only positive impacts of AI but also affordability to bear what we see University graduates are kicked out, layoffs and entry level roles are vanishing. I mean at the end when we graduate then market has a new plan to hit these skills.

LLMs train on SO to give people these answers... Without helping people actually learn anything. I'm sticking with SO and still use it and the StackExchange network every day. Not for Nostalgia, but because it actually helps me understand the problem and solution more deeply. SO was never a master. The people that contribute to it are mentors and teachers that care about learning and deflating my ego, not sycophantically propping up my ego and building false confidence.

Thank you !! 🙏

Where can I see the full video?

Terence Tao’s perspective on reducing 'cognitive friction' is spot on.When AI takes over the heavy lifting of routine calculations and literature mapping, it completely alters the risk profile for research.Scientists can finally afford to chase the 'crazier' ideas because the cost of exploration has dropped so dramatically. Brilliant discussion.

AI isn’t becoming a winner-take-all market. The real differentiator is how effectively organizations integrate AI into decisions, workflows, and measurable business outcomes.

Paul People often blame the tool when the real issue is the workflow built around it. That framing shift alone is worth sitting with.

Paul Workflow fatigue is something not enough people talk about. The mental cost of switching tools adds up faster than the time cost.

The Times They Are A-Changin, Bob Dylan.

I haven’t used it in years. Old school 🏫

Food is medicine. You are what you eat. Health is Wealth. Be Wealthy w/DrD 🩺