Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Qi-Han Wong it may be the reason indeed. Most probably it is also true for the rest of Europe.
The best AI tool might just be the one with fewer tabs
Like studying journalism in 1996
麻煩幫我你們家執行長說:「超晶體一直以來都有我的影子,請問他是在哈囉嗎!?若沒那位整個家族支持,我是無法安心分析“量子AI系統科技”的~」他真需要被打屁股~
Insanely Revolutionary , would be great to develop Battle/War Scenes
If there's ever been a strong argument for diversity in tech, it's this, the fact that some of AI'S most impactful and most powerful architects, are women, best of all, some of them, are Working Moms! 🔥❤️📌
Altering thoughts or behavior to appease machines (algorithms and data processing) forces self-censorship, curtails authentic expression, purpose, and suppresses individual identity. If AI does not improve and empower human cognition, creativity, and connection, it effectively reduces life to a source of productivity, comparing humans to machines based on speed and efficiency. Each of us was created for so much more! Referring to AI for answers based on the words and creations of humans eliminates the individual quest to explore, think, and act for one’s self. Outsourced thinking and beliefs to a non-human entity is the fastest path to eliminate human values, sovereignty, free will, and domain over the future of life, and the planet. In my humble opinion.
Paul, you've hit on something critical here. After two decades of watching enterprises drown in tool sprawl, I'm convinced workflow consolidation is where real ROI lives. The friction cost of context-switching between platforms often exceeds the subscription savings of "best-of-breed" point solutions. When teams spend more time managing their toolchain than delivering outcomes, something's broken. Unified environments that reduce cognitive load while maintaining capability depth? That's the strategic play smart CIOs are evaluating now.
I live in Utah. Our big sticking point on developing data centers for AI isn't energy per se. It's the lack of water needed to run the power generation and cool the processors.
What changes when AI lowers the cost of exploring ambitious ideas is the question itself, not just the speed of the answer.
Old Sport Dispatch Thanks for sharing, but our focus at Holdex is exclusively on infrastructure for DeFi and institutional-grade Web3 protocols. Best of luck with the initiative!
Is it really a safety failure to use a large-language model for medical guidance? Doesn't embedding the "solution" in the prompt simply double-down on this technology's limitations?
Oksana CANTAIS very well said
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