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Former SpaceX Head of Talent : I think Elon is smarter than Einstein. "One way we explained the SpaceX culture, in order to be honest with people, was this: SpaceX is like special forces. We take on missions that others consider impossible. This will be the hardest thing you ever do in your life. It attracts the kind of personality that wants to be a Navy SEAL, but in engineering. It will be bruising, punishing, and uncomfortable every day. Growth is not comfortable. If you are comfortable, you are probably not growing. To work for Elon is to be comfortable living in a constant state of discomfort. He has 10,000 times more going through his brain than the average person at any given moment. Our ability to think about and analyze a problem is nothing compared to how his brain works. Elon aspires to be the greatest engineer in the history of the world. He has the cognitive horsepower of the geniuses who came before us. But he is not Einstein, is he? I think he is smarter than Einstein."

英伟达炸场！机器人开启「终身自学模式」 刚刚，英伟达放出了一套能让机器人持续成长的技能库——ASPIRE。 ASPIRE有点像一个机器人版Coding Agent。 以前的机器人：参数固定、不会复盘、失败白失败，永远从零试错。 现在的机器人，靠 ASPIRE 拥有了人类式成长思维。 简单说：就跟GPT能把你的prompt、工作记录炼成可复用的skill一样，它也会把机器人的一次次失败和修复，沉淀成之后能继续调用的经验。只不过，它review的不是代码，而是机器人的操作过程。每当机器人执行任务时，ASPIRE就会把感知、导航、抓取、碰撞、运动规划这些过程都记下来。 它背后调用的GPT / Claude则会像研究员一样，判断任务中哪里出了问题，迭代程序。如果跑通，就把沉淀出来的经验写进Skill。 由此，机器人就可以通过写代码、看执行轨迹、修程序、沉淀技能来持续学习。 举个例子： 靠近物体总撞障碍物，传统机器人只会反复翻车。 ASPIRE 会自己总结：换45°/90°多角度绕行，下次遇到任何物体直接复用这套技能。 过去 Code as Policy 最大的坑：不长记性、经验清零。 ASPIRE 彻底根治：做过的坑、修复的逻辑，全部永久入库。 正如英伟达团队所说： 现在机器人做完100次任务，再也不像第一次那样一无所知。 从「死模型权重」到「活的技能经验」， 这才是真正的具身智能进化。 机器人的自学时代，正式开始了。 #英伟达# #ASPIRE# #AI# #机器人# #具身智能#

'At every World Cup, there are titles at stake beside that of Champion,' writes Simon Kuper. 'The title of Clown, a big country that fails. The Beautiful Loser. Most teams aspire to the title of Cinderella, a small country that experiences a fairy tale':

Elon Musk on the physics of truth: “Truth is not an easy thing But you can aspire to the truth. You can try to get as close to the truth as possible with minimum error while acknowledging that there will be some error in what you’re saying This is how physics works. You don’t say you’re absolutely certain about something, but a lot of things are extremely likely Aspiring to the truth is very important”

Faith in humanity is a rational hope that, by choosing the path of reason and compassion, it can overcome its own limits and rise to the level of a mature civilization. : The author defines faith in humanity as a rational hope grounded in reality rather than wishful thinking. It is the conviction that by consciously choosing the path of reason and compassion, humanity can overcome its own limitations and rise to the level of a mature civilization. This faith acknowledges our flaws selfishness, short-sightedness, tribalism but refuses to accept them as permanent. It trusts in our demonstrated capacity for growth, learning, and moral progress. Reason gives us the tools to understand and solve problems; compassion gives us the motivation to use those tools for the benefit of all. When these two forces work together, they become a powerful transformative current capable of reshaping societies, institutions, and human relations. Faith in humanity is therefore not passive belief but an active orientation a commitment to build, to improve, and to aspire higher, even when the path is difficult. It is the quiet but firm assertion that we are not doomed to repeat the mistakes of the past. We can do better, and we should.

Elon Musk’s message to young entrepreneurs: "Try to be as useful as possible. I think if you aspire to do true work, your probability of success is much higher. Do whatever it takes to succeed. Smash your ego, be humble. It's a super big deal."

Mark Zuckerberg told employees in a Wednesday memo that laying off 8,000 workers was necessary because “success isn’t a given.” The full memo, as published by businessinsider. "Hey everyone, I want to express my gratitude to everyone leaving today for all of the hard work you've put into serving our community. It's always sad to say goodbye to people who have contributed to our mission and to building this company. I feel the weight of that, and I'm spending a lot of time making sure we manage this as well as possible. This is the most dynamic I have seen our industry. I'm optimistic about everything we're building to give billions of people the power to express themselves and connect with the people they care about. I'm also optimistic about delivering personal superintelligence to everyone. We've always focused on putting power in people's hands. This is how we believe progress is made in the world. These values are what makes us different, and they are why Meta has been successful. But success isn't a given. AI is the most consequential technology of our lifetimes. The companies that lead the way will define the next generation. We're transforming our company to make sure it will always be the best place for talented people to have the greatest impact. People tell us that they appreciate the ability to take greater ownership and execute their vision with less bureaucracy and management to navigate. At the same time, we also want to provide everyone with as much stability as possible. We won't always get this balance right, but I care deeply about this so we'll keep adjusting and work hard to do right by people along the way. To that end, I want to be clear that we do not expect other company-wide layoffs this year. I also want to acknowledge that we haven't been as clear as we aspire to be in our communication, and that's one area I want to make sure we improve. I'm confident in what we're all building together. We are one of the few companies positioned to help define the future. Meta has the talent, the infrastructure, the apps and distribution, and the business model. We have a lot of work ahead, but what's on the other side is going to be extraordinary. Once again, I'm grateful to those leaving today. And I'm grateful to everyone around the company for all of the historic work we will continue doing together. Mark" --- businessinsider .com/heres-what-mark-zuckerberg-said-about-future-layoffs-at-meta-2026-5

Very interested in what the coming era of highly bespoke software might look like. Example from this morning - I've become a bit loosy goosy with my cardio recently so I decided to do a more srs, regimented experiment to try to lower my Resting Heart Rate from 50 -> 45, over experiment duration of 8 weeks. The primary way to do this is to aspire to a certain sum total minute goals in Zone 2 cardio and 1 HIIT/week. 1 hour later I vibe coded this super custom dashboard for this very specific experiment that shows me how I'm tracking. Claude had to reverse engineer the Woodway treadmill cloud API to pull raw data, process, filter, debug it and create a web UI frontend to track the experiment. It wasn't a fully smooth experience and I had to notice and ask to fix bugs e.g. it screwed up metric vs. imperial system units and it screwed up on the calendar matching up days to dates etc. But I still feel like the overall direction is clear: 1) There will never be (and shouldn't be) a specific app on the app store for this kind of thing. I shouldn't have to look for, download and use some kind of a "Cardio experiment tracker", when this thing is ~300 lines of code that an LLM agent will give you in seconds. The idea of an "app store" of a long tail of discrete set of apps you choose from feels somehow wrong and outdated when LLM agents can improvise the app on the spot and just for you. 2) Second, the industry has to reconfigure into a set of services of sensors and actuators with agent native ergonomics. My Woodway treadmill is a sensor - it turns physical state into digital knowledge. It shouldn't maintain some human-readable frontend and my LLM agent shouldn't have to reverse engineer it, it should be an API/CLI easily usable by my agent. I'm a little bit disappointed (and my timelines are correspondingly slower) with how slowly this progression is happening in the industry overall. 99% of products/services still don't have an AI-native CLI yet. 99% of products/services maintain .html/.css docs like I won't immediately look for how to copy paste the whole thing to my agent to get something done. They give you a list of instructions on a webpage to open this or that url and click here or there to do a thing. In 2026. What am I a computer? You do it. Or have my agent do it. So anyway today I am impressed that this random thing took 1 hour (it would have been ~10 hours 2 years ago). But what excites me more is thinking through how this really should have been 1 minute tops. What has to be in place so that it would be 1 minute? So that I could simply say "Hi can you help me track my cardio over the next 8 weeks", and after a very brief Q&A the app would be up. The AI would already have a lot personal context, it would gather the extra needed data, it would reference and search related skill libraries, and maintain all my little apps/automations. TLDR the "app store" of a set of discrete apps that you choose from is an increasingly outdated concept all by itself. The future are services of AI-native sensors & actuators orchestrated via LLM glue into highly custom, ephemeral apps. It's just not here yet.