Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Ivan Kotov Excellent observations and agreed, apologies I am just seeing now.
Jacqueline Muili Apologies I am just seeing your brilliant wise comment.
Miriam Waymire, excellent comment, apologies just seeing now!
Bobby Joachim thank you for your excellent comment apologies I am just seeing now.
Keiji Deyasu Yes it may well be. Apologies for my late reply.
Matthew Kilkenny Well, it looks well to me as if Universities are being surpassed by their predecessor. Looking forward to learn more about Ethical AI Now.
It’s striking how much the concerns of the Church, AI designers, builders, and users share common roots and deep, overlapping worries. Why, then, is there such a strong push today to frame this extraordinary human creation as dangerous? In many faith traditions, we’re reminded that God placed humanity as stewards and vicegerents on Earth, granting us the profound right to pioneer bold innovations and unique creativity. That gift should be guided by wisdom, not paralyzed by fear. #AI #ArtificialIntelligence #FaithAndTech #Ethics #Innovation #HumanCreativity #Stewardship #ResponsibleAI #TechEthics
Another perspective: Seeing how different components work together is often more valuable than learning them in isolation.
Oracle is playing a smart brand game here. Open-sourcing enterprise-grade tools shifts them from a legacy vendor to an active ecosystem enabler. Lowering the barrier to building is how you win developer mindshare Thank you for sharing Abhishek Veeramalla
The control question matters more than the speed.
Nice shirt....!!!
Demis, thanks for sharing!
A fresh look at the "black box problem" through a perhaps slightly wild AI theory: "A Theory of Quasi-Volition in Large Language Model Systems". See more about this:
This is one of the most important conversations in AI today because it moves beyond "What can AI do now?" to "What happens if AI begins accelerating its own development?" Recursive self-improvement remains speculative, but the pace of progress in autonomous coding, research assistance, and long-horizon task completion is raising legitimate questions about governance and preparedness. The challenge is balancing two realities at once: the enormous potential for breakthroughs in science, medicine, and productivity, and the need for robust oversight, transparency, and international coordination as capabilities advance. From my experience, AI4Laymans.com and Rohvaa.com helped me understand that meaningful AI literacy isn't just about learning how to use today's tools it is also about developing the critical thinking needed to engage thoughtfully with the societal and ethical questions that increasingly powerful AI systems will bring.
OMG this is so true! When I tell people AI is stupid they don’t believe me (maybe I should not say stupid 😅) but it’s true AI only sees patterns and not the consequences in this case 😂
Bro, I think I saw you somewhere I think, I saw you on tech roast show YT, aren't you?
Gems Gems right here Thank you for sharing Abhishek Veeramalla
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This would be tremendous for hotels wherein so much is already lost in STT
You mentioned about the documentation about RAGs and workshops.I am not finding them.Could you share the link please