Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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A lot of people think emotional intelligence is being soft. It isn’t. It’s being disciplined enough to: - pause before reacting - ask instead of assuming - keep your word - own mistakes quickly - stay calm under pressure In business especially, emotional volatility is expensive. The people who create the most stability around them usually end up creating the most opportunity too.
Justin Wright great list. This is always what we’re headhunting for in executive search and recruitment, especially in a day where we need to put the human back in human resources in the artificial terror intelligence era. These are not things you can find on a résumé, and these are often things that AI tools will screen out without even noticing. Hence the value of having human to human executive recruiter interviews.
Mike Pappas isn’t this the same as custom GPTs, using task specific iterations trained on vetted data sources? Multiple thinkers feed the vetting system as a backstop. Do you’d use the vetted “custom gpt” to refine and validate the consortium of ideas?
Rachel Wilson Rugelsjøen have you heard of 'Aloha' ? Ask, Listen, Observe, Help, Ask again. You're spot on, with wait, consider the options, discover together which fits, which may not fix the immediate issue. Communication has so many different levels of comprehension. When we pause and allow people to show you what they mean or need it's powerful for everyone involved. 'They' may not know themselves, may even feel self-aware yet have missed a more important issue. Engaging and interactions reveal greater depth for both parties.
This is what Dan Simmons wrote about in Hyperion
Then why every week new company is firing ??
Unfortunately the organisation he represents has no moral standing.
Using WALL-E as a futuristic reference for “taking care of all our problems” misses the point of the film entirely. But as usual Bernie is spot on when questioning the narratives of the few people who own the tech. If we’re going to use non-fiction narratives for visualising the future then Neuromancer should be the reference point. AI needs governance. No if’s, but’s or maybe’s
The question that matters most isn’t what AI can do. It’s what existing incentives, power structures, and institutional habits will it amplify once deployed at scale. That’s the part many AI debates miss: capability is only one layer. The deeper issue is whether we’re building systems that distribute agency, judgment, and benefit; or simply make existing concentration faster and harder to see. I wrote more about why the public AI debate is aimed at the wrong layer here, if interested:
Bernie Sanders is making sense. Suspicious. Is this AI generated?
100% will go silent if the culture makes truth unsafe.
Historically, technology becomes cheaper and more accessible over time. While the underlying models are built by tech giants, the application layer is heavily decentralized. The base layer may be exclusive, but the innovation built on top of it is open to everyone.
It's one of the few times I've seen a major institution name governance as a process rather than a deliverable, which is the part most policy frameworks quietly skip. I'm not planning to read all 144 pages, but it's affirming to see the idea land somewhere with this much reach.
Exactly. The real question isn’t what AI can do, but who controls it and how the value it creates is distributed. Those defaults are being set now, and once they scale, they’re much harder to change than to question.
I had a scary dream a few nights ago, it might have been a warning dream of the future to come. My mother passed away last year, and she was into her tech. The whole AI thing came after she left, so I never got her opinion of it. In my dream I got a Google popup add with an older female actor, that looked strikingly like my mother when she was younger. In the dream, I investigated the product further and found more and more angles of this actor resembling my mother. Then there was a realisation, a flash of understanding that Google had used the images of my mother to produce an advert to target the ad to me. And that Google could use the images of any deceased person to produce targeted content for those of us still alive. Imagine a parent who lost a child, seeing an advert for a product that resembles their lost loved one? Maybe it's not an exact replication, just enough to get you to notice. AI has the power to pull on our hearts in ways our brains will never warn us about. That's the power these guys are referring to.
I’m not sure Bernie understands the concept of voluntary exchange and consumer surplus. Business leaders innovate to add value. Nobody forces someone to make a purchase. And people would be willing to - in many cases - pay much more than what the market charges based on the value the good or service provides to the buyer. What was the incentive for people to make his glasses? Did they really want Bernie to see better? Or were they just after his money? Bernie chose to buy them because he saw the value they provided. Enabling him to see. Unfortunately, they didn’t allow him to see clearly how the market adds value and voluntary exchange rewards those who produce the most value. Full stop.
Research shows EQ dropping while AI implementation and quality is going up. EQ has always been the king & queen, but even more in the future. Knowing yourself well --> and accepting yourself.
Being happy for others when they do well. That one is the real test of emotional intelligence. It sounds simple and it's genuinely hard. The leaders who get this right build teams where everyone rises. Such a complete and honest breakdown of what EQ actually looks like in practice.
Thank you for sharing your take from the first pass. Humility isn't as rewarded by the algorithm as confident hot-takes. It is refreshing.
Love the list of what emotional intelligence is NOT, especially this one: thinking you are always right. Yes!