Browse Comments — Clean (de-noised)

Luís Rodrigues I think this has to start higher and has to go deeper. First AI is not equal AI. Anthropic and OpenAI don't share training data, prompts, weights and built in configuration. Anthrophic has 11 products that all have different limits and purposes. When using any of those everything starts with understanding the built in tools like read, webfetch. What you describe is a set of fancy over hyped key term. Behavioral patterns, known use cases. There dependencies. Guardrails, built in immutable prompts, those are the things that differentiate. An MCP an agent could be anything.. My skills in my workspace use API calls, run external judges, confirm semantically, review visually. Are those skills them agents? Can they overcome the char count limit of any built in tool?

As the Pope in his recent declaration said. We cannot leave AI in the hands of a few. Decision making what get's build needs to come from the society. Fortunately we have many young innovators, who now use AI to create impact. What amazes me most, when this happens in healthcare and we can treat deceases like cancer.

The more important question is who gets to decide where that power goes and who captures the value when it scales.

The strongest AI systems are not built from one powerful model alone, they come from how well reasoning, context, actions, and connectivity work together. Luís Rodrigues

Rob Anderson As long as AI is controlled by people who will do nearly anything for power or money it will not end well.

Todays big Tech, big Pharma, big Food and big Finance have already become more powerful than national democrations. Which means, when Trump visits China with Big Tech CEO ́s, the question arises: who has more power? Democratic elective leaders or the Big Tech CEO ́s who are responsible for the complete infrastructure on how we work and live. Given their already powerful position, it also raises questions about who controls a fair deployment of these technologies Pascal BORNET

Luís Rodrigues! It's good reminder that the value isn't in any single piece, but in how they/re wired together into one functioning system.

Rich Petersen I’m banking on it in the hands of the millions of Changemakers and it not being controlled by the power hungry might give us a chance. Time will tell!!

One of the strongest signs of high EQ is creating an environment where people feel heard, respected, and comfortable speaking openly. That kind of culture drives both performance and collaboration.

The most important decisions in AI are no longer about capability, they are about who controls deployment, distribution, and the value created when these systems scale. Pascal BORNET

The part about being a calming presence stands out because that’s usually what teams remember most during difficult periods. People with strong EQ tend to create better communication, fewer unnecessary conflicts, and more trust across teams.

Good analogy 👍. The data sampling and cleaning is an integral part too.

It’s worth reading section 150 of the encyclical (Vatican Website as he alludes to the precarity of digital labourers. This question of digital labour training AI, as a new type of “slavery”, is something that is less discussed in the media, but is central to the tradition of Catholic social teaching. A relatively recent political example is Mater et magistra by Pope John XXIII in 1961 who discussed the labour market, much to the annoyance of American Catholic conservatives like William F. Buckley at the time.

Work related noise damage can also have a negative effect on your mental health as in tinnitus and it’s overall health understanding, there is a need to have ongoing employement research for a full assessment towards its effects on dementia and other mental health illnesses in later life and into retirement.

The step-by-step structure here is useful because most people struggle less with the tool itself and more with turning it into part of their actual workflow. What usually makes the difference is not the setup on day one, but whether the workflows become reliable enough to use repeatedly in real work without creating extra review or cleanup later.

Faster systems don’t automatically mean fairer systems — that gap is where the real debate is. Pascal BORNET

Sometimes, Emotion - Pause - Reflect - Respond method gives very few seconds to respond. Unless the human mind is trained, the mind looses it's awareness and gets to Emotion - Reaction mode.

The piece that gets overlooked most: stimulation without restoration backfires. You can do all the puzzles and learning you want, but if sleep and stress aren't managed, you're just grinding a tired engine. The toolkit needs both fuel and repair.

The real decisions about AI aren't happening in debates — they're happening in boardrooms, legislation drafts, and funding rounds most people never see. Every model trained, every platform scaled, every policy delayed is a structural choice dressed up as a technical one. We're not just building tools — we're encoding who gets leverage and who gets left out. The question of "what AI can do" is settled; the question of "who it does it for" is still wide open. And whoever fills that silence first will shape the default for everyone else.

“People will forget what you said, but they’ll never forget how you made them feel.”- Maya Angelou After 20+ years leading teams, I believe EQ is self-awareness, empathy, listening, and staying calm under pressure. You build it through experience, feedback, difficult conversations, and learning to understand people and not just processes.