Browse Comments — Clean (de-noised)

In my experience EQ is not really about being good with people. It is about reading a room accurately and then actually doing something with what you see, even when what you see is uncomfortable.

Let that start, without compromise

I imagine that many of those quick responders used an AI-tool for "reading" it. Dark irony.

Love it and it all starts with the courage to be honest with yourself, to really dare dive into your feelings and thoughts, understanding yourself better will make you understand other so much faster.

'empathy not to fix them' - that's the hardest part for most managers. everyone wants to jump straight into solution mode and they miss the actual human connection. curious if you think this can actually be taught or if it's just a personality trait?

People need to relax a bit. Elon isn't even close to the richest person in the world, we just don't tell the public. There actually is a point of wealth where people start looking after the global population and quit being selfish and start taking responsibility. Technically we already have AI that is far ahead of anything the top tech CEO are developing and we can punch down into their systems at any time. Who has the keys to the higher level system it is based on their quantum signature, it locks up if your intent is bad as it can read your mind, memories, and thought patterns remotely. This is all part of Disclosure and the new multiplanetary economy. Character Matters. Don't lie. As for the financial outcome and how we look after people with a UBI, it has already been taken care of we just haven't flipped the switch yet to show the public, it already tracks everything. It is not a social credit system. It is based on physics and observation. Every action leaves a trace in the quantum field. We figured out how to monetize karma so we now collectively plug into the multiplanetary economy. Cheers.

I agree that AI is expensive, but AI can not replace the human why because we need humans for authorization and final decision for security standards. We can not do anything fully automated othervise we loss the thing.

Very important perspective. The biggest AI question is probably no longer whether the technology works, but how the economic value, decision power, and productivity gains will be distributed. Because history shows that technological progress alone does not guarantee broader prosperity. The surrounding system, incentives, and leadership decisions ultimately determine who benefits from it.

We believe this structural shift is critical for sustainability in the HVAC sector. If we prioritize equitable resource distribution, we can ensure that new climate technologies truly benefit the broader community rather than just a few.

AI is transforming work, but the hype ignored one reality: scale without economics breaks fast. The winners won’t be companies replacing humans blindly, but those using AI to amplify skilled teams, control costs, and solve high-value problems sustainably.

The point about creating environments where people can speak up is particularly important. In healthcare and public health settings, psychological safety is not just cultural preference, it can materially affect outcomes, innovation, and risk management.

This is the deeper conversation more people need to have. Technology itself is neutral most of the time. The real impact comes from the incentives, ownership, and decisions around it. AI is scaling systems and power structures just as much as it is scaling capability.

... and whether AI will turn all of us into the slobs that we see in Wall-E. I am really afraid that we will degenerate like that.

But the benefits and profit it will generate. Will be far richer then anything else.

Enterprises achieve scale via deterministic control loops observability telemetry alignment.

I'm stuck picturing the pope's LinkedIn account 🤣

Lisa Doeland If so, they are definitely missing out on a good reading experience.

The biggest AI debate is no longer about capability. It is about control, incentives, and distribution of value. Because faster systems do not automatically create fairer outcomes.

This is one of the most practical breakdowns I've seen on getting started with Claude properly. Most people treat it like a fancy Google search - type a question, get an answer, close the tab - and then wonder why they're not getting much value out of it. The real unlock is exactly what you've laid out here: context, continuity, and systems. Day 3 especially resonates with me. Teaching Claude your voice is something most people skip entirely, but it's genuinely the difference between output that sounds like you versus generic AI text. Once you build that voice file, the quality shifts dramatically. The scheduling piece on Day 6 is underrated too. There's something freeing about waking up Monday with your weekly brief already ready, your industry news already summarized. That's when AI stops feeling like a tool you use and starts feeling like infrastructure running in the background. The shift from "using AI" to "building with AI" is real, and this captures it well.

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