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DogeDesigner
@cb_doge
参加 May 2021
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Grok Bot Summary of Elon Musk and Jensen Huang's new interview alongside Gavin Baker at The White House. 🇺🇸 How America wins: energy first - Jensen: superintelligence (SI) reinvents every layer of computing, from chips to software to apps. Energy is the foundation for all of it. - To win, America needs the best chips, lots of energy and great algorithms, plus Americans who are excited about using the technology. - He credited President Trump's pro-energy stance as the reason the data centers could be built at all. - Jensen also said AI companies need to partner better with the communities where data centers are going up. - Elon: the biggest challenges are scaling energy and chip production. The US is winning on software, but China makes about 3x as much electricity. - The long-term task is enough power, plus enough logic and memory chip factories in the US or another safe region. Power equals GDP - US average power use is about 500 GW, so every 5 GW added is about a 1% increase. - Elon bets that 1% more power means roughly 1% more GDP, because the intelligence you get per watt keeps rising. - By their joint math, each gigawatt is worth about $60B of economic output a year. - Gavin noted that SpaceX's publicly discussed 10 GW would be about 25% of all new US power, with rocket engineers helping build the turbines. Moving compute to space - Elon: orbital compute will be "a very big deal." Google is sending TPUs to orbit, and an H100 already went up last year. - SpaceX and Tesla aim to make 200 GW of solar panels a year. - In space, solar panels deliver their full rated power or better. On the ground they get only a fifth to an eighth of that and need huge batteries. "It's essentially always sunny in space." - Jensen: now is the perfect time. AI's returns are so high that launch costs are affordable, and "putting NVIDIA computing in space is the best way to get there." Data centers are now "SI factories - Jensen: they don't just store data, they produce something of economic value. - The US is building about 10–20 GW a year, which he estimates means roughly 1M jobs for construction workers, pipe fitters, and power and cooling crews. - It's the first time in about 50 years that America is re-industrializing and bringing back blue-collar work. Colossus and the community - Elon: the area went from unemployment to more jobs than people. - The local tax budget may have roughly doubled. - xAI offers half-price Starlink there and is building a $250M water recycling plant. "Do things for the community, and they will reciprocate." - Jensen: for the first time, market forces alone are funding fusion, fission, small and large nuclear reactors, and battery storage, without government subsidies. Trillions for Americans - Gavin thanked them for creating more than $5T in wealth for ordinary Americans through their 401(k)s. - Elon: "Jensen has done $5 trillion by himself," and put his own number at about $3.5T. NVIDIA's approach to AI safety - Jensen said the key is to contain AI agents and monitor them, both while they're being tested and after they're deployed, just as a company does with a new employee. - **OpenShell** is a sandbox, like "a browser for agents," that keeps each agent isolated and gives it only the rights it should have. - **BlueField** is a separate chip that watches the agent from outside its sandbox and escalates if the agent breaks its rules. - Gavin compared this to the early internet: we made online payments safe, and that's how we got Amazon, Netflix, Google and X. - Jensen: safety and progress "are one and the same." Treating them as a tradeoff is a false choice. Starship Flight 14 - Elon: Starship reached orbit for the first time and deployed Starlink V3 satellites that each have the wingspan of a 737. - It was the largest payload delivered to orbit since Skylab. - He expects a weekly or twice-weekly launch pace, probably next year. - The long-term goals are about 1 million tons to the Moon and to Mars for self-growing cities, and at least 300 GW a year of AI compute into orbit, maybe a terawatt one day. Tom Brown joins - He said it continues the steady gains in intelligence with each new model. - It can take on longer tasks than earlier models could. - The less obvious effect is that AI will write huge amounts of software, making everyday products better and cheaper. How AI is helping people today - Jensen uses Claude for comparison research. Work that used to take him 4–8 hours on a weekend now comes back as a polished report with charts in about 3 minutes. - Elon: AI is becoming essential at work and at home. He's heard many stories of AI catching medical problems from X-rays or MRIs that doctors got wrong, and saving lives. - Gavin mentioned AI finding new, safe uses for existing drugs. Should AI tools have values? - Jensen called his view "controversial": SIs are tools, and too much judgment can make them worse at the job. - His steak knife analogy: imagine a knife that cuts medium-well steak perfectly but refuses to cut a rare one because it looks like live meat. - In cybersecurity, a defender's actions can look like an attacker's, and the AI still needs to help the defender. White House AI safety declaration - After a long White House lunch, they signed a joint declaration on SI safety, which the White House will publish. - Elon: it covers joint monitoring, special board committees, and "grading each other's homework" instead of grading your own. - Jensen: it requires strict internal controls, clearly documented goals for each product, internal and third-party audits, and sharing best practices across the industry. - He said the declaration "has a lot of teeth" and should become the standard for every company. President Trump oversaw the meeting. Key takeaways - Energy is the real bottleneck, and more power means more GDP. - Space is the next frontier for AI compute, and Starship is how it gets there. - Data centers are driving a blue-collar industrial comeback. - Safety and speed can go together, through contained and monitored agents plus industry-wide audits. - Top AI leaders now publicly back grading each other's homework on safety.
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