jeff bezos on why playing the long game beats everyone:
1. most things we built took five to seven years before they made the company a single dollar. customers got value right away. but shareholders had to wait years. that gap is exactly where almost everyone gives up.
2. when you hit a problem, never accept either/or thinking. don't choose between two good options invent a way to get both. you can invent your way out of any box if you actually believe you can.
3. listen to customers obsessively. ignore them and you'll go astray. but they won't tell you everything. it's not their job to invent for themselves. you have to invent on their behalf.
4. if you think long-term, you have to be willing to be misunderstood. anything new and disruptive looks wrong in the early innings. we got called amazon.toast and a lot of things i can't repeat here. that's just the toll.
5. when people criticize us we ask one thing: do we actually think we're right? if yes, we keep going. if we think they have a point, we fix it fast. but we never cave just because the pressure wants a short-term answer.
6. thinking in five and seven year frames is far rarer than you'd guess. that's the whole reason it works. while everyone else chases the next quarter, you're quietly building something they can't touch.
Water usage has been a hot topic in the AI data center world, but the numbers may surprise you.
According to the Manhattan Institute, data centers use 0.2 percent of daily water usage in the U.S. and that number has dramatically decreased in the past few years due to a new method: liquid cooling.
By moving to 45°C liquid cooling, AI factories in favorable climates can use dry coolers instead of conventional cooling-tower-based systems, cutting facility cooling water use from roughly 2.6M gallons per MW per year to near zero.
Liquid cooling enables AI factories to be both water and energy efficient, while creating opportunities for heat reuse and dispersal to local communities, allowing these factories to become energy grid assets.
Learn more below ⬇️
https://t.co/7WanoPNKTR