Browse Comments — Raw (as collected)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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There is absolutely no evidence for the truth for any of these claims.
"Yes, AI can solve massive problems. Climate. Health. Science. Education.The capability is not the issue."
They are going to start adding typos on purpose so that it looks human? So bland prose and typos next... 😀
Technology is a good servant but a very bad master.
Strong explanation. Many people underestimate that enterprise AI is not just about having a good LLM. Real value is created through the combination of data access, clear processes, AI agents, and clean system integration.
Now it's time to replace AI with human intelligence again😂
"Kudos to those capable of working on complexity at such extraordinary speed."
- All with GPT "assistance" i.e. prompts, summaries, copy/pasting. Magnifica Humanitas demands thorough reading i.e. at least a few days. Reading to understand that is not to be informed like reading some tourist booklet.
"artificial intelligence is not merely another issue to regulate, but something that fundamentally challenges existing categories of social thought."
- It is. But it's not AI that's at the centre, rather it's statistical modelling.
The present day "AI" is all about statistical modelling engines not machine intelligence.
Social media is centred on statistical modelling.
Billboard charts are categorisation by statistics as if something topping sales chart must be good - it's not.
Economy policies are driven by statistics - anyone can believe any of economists' forecasts anymore?
i.e. people assimilated to numbers
What Pope Leo says too is "don't treat people as numbers".
What a great realisation!!
The emerging fields and tech was never the problem, the problem is with the people who control them, because the commercial and greed aspects always surpasses the social values.
Great post Pascal BORNET
This is a stronger framing because it moves the AI conversation from capability to governance.
The real inflection point isn’t whether AI can generate value. It’s how that value is distributed, who sets the rules of deployment, and what incentives shape the systems being scaled. Those structural choices tend to matter more than the technology itself.
The UAE is a clear signal Nadeem Zaman نديم زمان that Web3 is shifting from speculation to institutional distribution at scale. The real edge now is deal flow, partnerships and speed to enterprise adoption. Pink3.io helps founders compress BD cycles and unlock enterprise-grade partnerships across emerging hubs like this.
Emotional intelligence often shows up in the pause between what a leader feels and how they choose to respond.
Completely agree with this. The people who lead and perform best long term are usually the ones who stay emotionally steady and make others feel safe around them.
Well written
👍🏻👍🏻
Yes, Rob. Enterprise AI only scales when every layer is intentionally designed together.
Absolutely, David. Strong enterprise AI comes from balancing and strengthening every layer together.
Justin Wright Emotional intelligence becomes real when people still feel respected after a disagreement, not just understood during a calm conversation. The leaders people never forget are rarely the smartest in the room; they’re the safest to be human around.
So agree- the "rush" to gain social media attention diverts from the real necessity to read, consider, challenge and agree or disagree with all or parts of it. Personally, printed it out to read, mark and do comparative research on points made. Clara Hawking Good to know there are still people practicing the slow process of critical thinking vs chasing social media noise.
This is one of the more brutal, honest responses that I ever heard in my life. I love AI. I'm doing a lot with it. Looking at the kind of level of investment they are doing, it's difficult to think that they are doing nothing else other than looking at exactly what they can control. I think Bernie's point is valid: transformation has a price, and who is paying is looking for control. That is simple.
Theoretically looks nice , but when it comes to practical and operation , we should see how dynamic agentic solution can respond and sustain . The observability and HIL operation is also important . In operation the output will be very different .