Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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· page 128 of 210
Great to see a papal encyclical that doesn’t immediately scream 'AI is the devil,' but actually thinks things through. The fact that Anthropic was the only tech company invited to the table says a lot. Turns out consistency eventually beats hype. Can AI truly be ‘disarmed’? Probably not completely, but we can at least try to keep it from becoming a weapon in the wrong hands. Solid post!
Hell of a process but it’s so worth it in the end ❤️
Can we stop this nonsense?
Huh???
Great post! It has to also start at the TOP to filter down. What is it with leaders and feeback from subordinates? They must have had bad experiences too as you need to know how to run this process.
Autophagy works good if prolonged
"The Real Debate Is Anthropological"—couldn't agree more!
AI is not costly compared to humans. AI is costly because companies are trying to build things at a scale humans alone could never execute.
People has started to use LLM models for simple task automations as well. Identification of genuine use cases and optimizing the usage of tokens using very refined prompt engineering will define the success.
A power tool in skilled hands - that’s the key
Testing and securing software infrastructure remains a major challenge for growing startups
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This is where AI is becoming really interesting. The shift is no longer just human → AI assistant, but human → AI teams. I think the biggest transition ahead isn't replacing developers — it's changing the role of developers. The future engineer may spend less time writing every line of code and more time defining goals, constraints, workflows, and orchestrating specialized agents. But there's also a second challenge: coordination. More agents don't automatically mean better outcomes. Memory, context sharing, decision quality, and execution consistency become critical. That's one of the ideas we're thinking about with Autoflowly: not just creating agents, but helping founders and teams orchestrate systems of agents that can collaborate around building products and businesses. Interesting times ahead. The question may no longer be: "How good is your AI?" It may become: "How well does your AI team work together?" 🚀
#CFBR
Problem is we can't control the criminals! Like other things in life, treat it's use with respect.
Not if you go local. And we are doing exactly that for Indian businesses. Helping them deploy Local AI. Preventing US tech giants from from stealing business ideas, information, pii and everything and making AI available for cheep for Indian companies. Not your LLM, not your AI. Don’t share your business info and customer data to some external black box. Let Zosma AI help you do the same using local ai at scale.
Finally someone said it out loud!
I agree. The real question is not only whether AI is “aligned,” but what kind of human record it stabilizes under pressure. I recently explored this through functional emotion, AI alignment, and the awareness tensor: emotion-like AI structures may not be feeling, but they can still shape restraint, salience, and moral behavior. That makes AI ethics anthropological, not merely technical.
Nicolás A. Fernández Sequeiros
Álvaro Criado