What if AI could help us find paths to peace? https://t.co/NmET4k05zo uses multiple AI models to autonomously generate, evaluate, and stress-test conflict resolution proposals for the Iran crisis. #Iran#IranWar#Trump
@nickco@Replit I'd love that job! I've already built and launched these on Replit: https://t.co/sNP5UvsIrn, https://t.co/Bta1CfiiIM, https://t.co/j9hoJRrfS0, https://t.co/oxwkY52YYM, https://t.co/I5ntMIvBVj
Jensen Huang explains the difference between AI and traditional Software and why there's no bubble.
Traditional software was pre-compiled, meaning it was built once, stored, and then executed repeatedly with little computation. It didn’t need constant high-power processing once finished. Users simply ran the completed program as a tool.
AI, by contrast, generates its output in real time. It must process context, reason, and produce intelligence at the moment of use, not in advance.
This requires ongoing computation for every request. Because of that, AI systems depend on continuous GPU power to “manufacture” responses like a factory producing tokens. So instead of static software tools, AI is an active computational process that needs large-scale, always-on infrastructure to create intelligence dynamically.
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From 'FT Live' YT channel (link in comment)
@oceannostra I'm building things that AT LEAST solve my own problems so it's a win even if others don't use them. I mention some of my projects here:
https://t.co/W4tBoUP5gJ
BREAKING: China's autonomous "killer robots" are on track to serve its military on the battlefield within two years, setting a course for a new age of AI-powered warfare which one expert called "the greatest danger to the survival of humankind."
Remote forms of warfare, from drones to cyberattacks, have played an increasingly central role in this century's theatres of war. Control of the skies with unmanned aerial vehicles has been critical issue in the ongoing war in Ukraine, and last week, the U.S. Department of Defense unveiled a fresh $1 billion investment to upgrade its drone fleet.
Several major powers have taken this development a step further, and begun to develop fully autonomous, AI-powered "killer robots" to replace their soldiers on the battlefield.
"I would be surprised if we don't see autonomous machines coming out of China within two years," Francis Tusa, a leading defence analyst, told National Security News. He added that China was developing new AI-powered ships, submarines, and aircraft at a "dizzying rate."
"They are moving four or five times faster than the States," he warned.
China and Russia are already reported to have collaborated on the development of AI-powered autonomous weaponry. Per Newsweek
@ionleu 🚀 I just launched HelperBat on Product Hunt!
It’s an AI scheduling assistant that works through email—CC your bat and it handles the back-and-forth, time zones, invites, and follow-ups.
Support + feedback welcome:
https://t.co/K7VCdmJ5rq
🚀 I just launched HelperBat on Product Hunt!
It’s an AI scheduling assistant that works through email—CC your bat and it handles the back-and-forth, time zones, invites, and follow-ups.
Support + feedback welcome:
https://t.co/K7VCdmJ5rq
@pbteja1998 I'm curious to try it out. Why does it say you need a Claude Max subscription? Can I define my own custom agents with their own tools like LateX and Python and Zotero?
🇨🇳 Epic and beautiful scene.
Wang Xingxing, founder & CEO of Unitree and his army of G1 humanoid robots are are proving he trusts the safety and reliability of what he built.
@EdnStuff@lexfridman I disagree. Pattern recognition is what LLMs do at the token level but at a higher level they are producing original thought and judgment. Wrote about it here:
https://t.co/W4tBoUP5gJ