Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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This is such an important conversation, Matthew Kilkenny! AI is advancing quickly, but we also need to reflect on the human values, ethics, and responsibility that come with it. Thank you for continuing to raise awareness and encourage deeper thinking around this topic.
The ability to stay calm and thoughtful under pressure is a real leadership advantage.
The biggest AI conversation was never just about intelligence
So true Pascal BORNET We must build a sustainable #future that uplifts every single worker.
The real leap happens when a model doesn’t just see — it understands. At AgilX AI , we’re building a vision model that detects defects in manufacturing with precision. But the bigger ambition? A physical AI that simulates material formation in real time — understanding the physics, not just the patterns. That’s the difference between inspection and intelligence.
Edgar Perez Global Speaker Fair point — taking Taiwan would not automatically mean taking over its chip capability. The expertise, supply chains, tooling, IP, international partnerships, and operational know-how are not things you simply inherit by occupying territory. So I agree it is not as simple as “control Taiwan, control chips”. But Taiwan’s role in advanced semiconductor manufacturing is still central to the strategic calculation. It produces over 60% of global semiconductors and more than 90% of the most advanced chips. It also matters for the next layer of computing: quantum. Taiwan may not yet dominate quantum computing itself, but its semiconductor ecosystem, photonics, packaging, cryo-CMOS research, materials expertise, and precision manufacturing could become deeply important to the quantum hardware stack. So yes, occupation would not equal instant control. But semiconductors, and eventually quantum-enabling hardware, are absolutely part of why Taiwan matters so much strategically.
Die gleiche Frage hat man sich vor 50 Jahren gestellt, als es um die gute oder böse Atomkraft ging. Es kommt immer darauf an, wer die Antworten liefert.
These are really current SOTA projects and notebooks, such a useful resource. Thank sharing 🙏
Justin Wright Neither is harder. Both fail for the same reason — no governed structure for processing the input before responding. Self-awareness requires knowing your Goal. Managing reactions requires knowing your Strategy. Without the structure — both default to instinct. CGOSTI maps both. 🔗 cgosti.mightyunits.com
"released onto an unsuspecting public" is absolutely right. I wish I saw that framing more frequently, because I think it's the most honest. I just commented on a post comparing AI to nuclear weapons, but that's a false equivalence. This is more like giving everyone a nuclear reactor in their carport, with no instructions on how to use it safely, and an invitation to the neighborhood kids to push the buttons and "see what happens". And without observability (my lane), it's like we didn't bother to install radiation detectors to see when the reactor is leaking. So we shouldn't be surprised when we turn out the lights and discover we're all gently glowing in the dark. //Scott Ω∴∆∅
I am sure Ai will be more competent.
The integration of parametric design tools into facade workflows shifts focus from mere shape generation to the optimization of environmental performance. We must consider how these automated systems dictate energy outcomes for future envelopes.
Applying this logic to the building envelope, we must ensure that automation in design and QC processes serves the technical integrity of the assembly rather than just accelerating project delivery.
Ian McGonigle Ph.D. thank you I look forward to the upcoming upcoming work.
Absolutely! That sums it up all.
Alan Kirk I think that may have to do with time frame. 0-48 hrs HGH is amplified. After longer periods up to 5 days, cortisol is increased up to 1.8 fold. This may impact your statement above. PMID: 8636290
Spatial equity remains a critical concern in urban planning today. Algorithmic tools must prioritize inclusive community needs over singular profit motives to ensure architecture serves the public good.
Leo Michaels 48000 words are a lot to get through. Given the church’s influence in some of the top universities in the world 🌍 I am sure they will be doing everything to build programmes that promote the vision of Pope Leo for starters. Thank you for elevating the discussion and always adding value.
Clear inputs and tight review loops make AI coding actually useful.
ARUN BABU RAJESWARI Be good to see more podcasts on the vision of Pope Leo. He has to be the most respected leader on AI Aligenment and safety in the world 🌍 today?