Browse Comments — Raw (as collected)

Santosh Kurinec And uses a staggering amount of water (UPW) as well…

Dilan Abeya “Today’s energy footprint is probably the smallest AI will ever be.” Respectfully, this is easy to falsify by looking up plans for data center construction over the next few years.

Aaron Hill Electricity and water are inseparably wedded concerns when it comes to data centers. Praying for y’all in the Beehive state.

This is what keeps me up at night. While I love the advancement of Technology, I work in the Energy space for this very reason. How will we feed this machine? Is this sustainable? Should it be even if it is?

This is where AI gets interesting to me — not as one tool trying to do everything, but as coordinated systems built around specific work. In operations, that same thinking applies. Safety, quality, inventory, uptime, delivery, SOPs, and KPIs should not live in separate silos. The real value is when the system connects the signals and helps people act faster. That is the future of practical execution. Thanks for sharing.

Ryan Watters, ELS As I indicated in one of my posts, my opinion is that when (not if) we get to engineering-grade room temperature superconductors then many of our electricity needs will be very much impacted for the better. Which is still some decades away.

❤️🙌🙏

Seedance is still the king

Very much like social media and Internet boom - how their original intent was to make life easier for us versus what we have turned them into - communication weapons in a way, AI will bring the end of humanity because humanity hasn't figured out how to use the existing tools consciously and will find a way to mess up the AI in no time. When what is built to be a tool is controlled by those in power - very corrupt people who can't seem to have enough money, I don't get the warm and fuzzies about AI at all. Not to be a pessimist but we don't have a pattern of learning from history...only repeating it.

Vivek Khandelwal very interesting. The models are getting more capable and can decipher increasingly more context, and will increasingly decipher more than what we want them to

Why did they assume that AI will not be able to solve the problem? If we look to math, physics, medicine it’s already solving complex problems humans have never been able to do. I’m betting it can solve the energy and emissions problem too

I had to social engineer “experts” on stack overflow into thinking I was a struggling 21 year old female college student to get direct answers and no berating for not knowing something. Good riddance 😂

Greatest finding. These nuances needed to be discovered, documented and communicated. Well done

Great testing idea💡

Too many nerds answering arrogantly, in general a very weird experience

The ideas that felt too unexpected or too ambitious to pursue weren't bad ideas — they were ideas the cognitive cost of exploration made impractical. AI removing that cost changes which questions are worth asking.

Leif Rydenfalk sounds like a great plan

Corneliu M. https://youtube.com/shorts/T2sRC7r3HXQ?is=pOcFV-wvPke1BBZU

Ryan Watters, ELS Respectfully, planned data centre construction is exactly the evidence for the claim. If trillions of dollars are being directed towards new generation capacity, transmission infrastructure, data centres, cooling systems and semiconductor supply chains, it’s because future compute demand is expected to be materially larger than today’s. The debate isn’t whether AI demand grows. The debate is whether efficiency gains can outrun demand growth. History suggests the opposite. Every major reduction in the cost of compute has resulted in more compute consumption, not less. Which is why today’s energy footprint is likely the smallest we’ll ever see.

Demis Hassabis Why are you guys (every top tech) even considering to make AGI, despite being aware of the risks of this technology?? Nobody have ever given the exact definition of AGI, so would it be Google's AGI or OpenAI's.