与「paloalto」相关的搜索结果

"isn't seattle tech just a bunch of AWS and MSFT employees?" well, no. aside from having 25% of the AI engineers in the US, and the second largest pool of dev talent in the country, seattle is home to the engineering hq2's of the world's most important tech leaders. we counted 55 seattle-based c suite execs from @AnthropicAI and @OpenAI to @nvidia and @Cisco ; from @PaloAltoNtwks to @CrowdStrike; from @Shopify to @stripe . see the latest from @Natebek below.

9/ 联署名单很有分量： 英伟达、Meta、微软、OpenAI、Cohere、Hugging Face、CrowdStrike、Palo Alto Networks、Palantir、GitHub、IBM、Perplexity、Mistral等，横跨模型厂商、云厂商、安全公司和投资机构。

3/ Anthropic还没公开的Mythos，已经在Linux内核等真实软件里找到几十个零日漏洞——这个消息一出，CrowdStrike和Palo Alto Networks股价当天就跌了6%到7%。

当 AI 和世界还没有今天这么喧闹的时候，一个名叫 Andrej Karpathy 的年轻人，戴着那时还很时髦的 Google Glass，骑着自行车，从他上学的斯坦福，去他实习的 Google，一边骑，一边录了一段 vlog。 视频拍于 2013 年。那时他还是斯坦福博士生，在 Google 实习，做的项目是 deep learning：搭神经网络，让它理解图片和视频。拍摄工具是 Google Glass。他还自己给它写了应用，出门就戴着。他最喜欢的游戏是玩魔方，其实是他休息的方式。 斯坦福 计算机系的走廊，是 Larry Page 和 Sergey Brin 当年读博时走过的同一条。第一台 Google 服务器，也曾在这栋楼的地下室运行过。 Palo Alto 的路，到今天还是他当年记录的那个样子，破得很稳定。加州人有钱，但就是不用来修路。该咋地咋地。 到了 Google，园区还是那种这家公司刚刚长出来的感觉：餐厅、共享自行车、来参观的游客，还有一头恐龙雕塑。那时的 Google 还在三驾马车（Eric Schmidt带着两个founder）年代，除了 Google Glass，还在做 Google 气球和自动驾驶。 那个年代好像已经很远了。 当年连 Andrej 都要辛苦搭起来的神经网络，现在应该已经很容易了吧。 如果你对那个年代的斯坦福、Google 和 Palo Alto 好奇，这条视频是一个稀有的窗口。

New @Tesla Semi spotted testing in Palo Alto today with ground truth validation gear on its roof. The truck has 10 cameras, cameras washers, and Tesla says it's "autonomy ready." (thx for the video @r_e_dor)

7 new exciting AI programs and fellowships you might have missed in June 2026: 1.) Listen Labs Future Founder Program - @ListenLabs SF based, for engineers who dream to start a company. Full-time role with salary + benefits, real product ownership, mentorship, workshops with investors from Pear VC, Sequoia, Ribbit and Conviction, free Listen credits to validate ideas and a small elite cohort. apply:- 2.) Anthropic Claude Corps - @AnthropicAI 12-months fully funded fellowship placing early-career builders inside nonprofits to ship real AI tools. $85K + benefits, CodePath training, Anthropic mentorship. 18+ under 2 yrs experience, any background. US work authorization required. Cohort 1 closes July 17. apply: 3.) Andreessen Horowitz FDE Fellowship - @a16z 8-week cohort for forward-deployed engineers and applied AI leaders shipping inside live enterprises. Title doesn't matter, mindset does. SF hub, starts July. Closes June 26 at midnight PT. apply: 4.) Vals AI Fellowship - @ValsAI 3–6 months on the hardest open problems in AI evaluation. $1K–2.5K/week, unlimited API credits, GPU budgets, frontier model access, real eval challenges from labs and the Fortune 500. Remote or SF. Closes June 30. apply: 5.) Perplexity Research Residency - @perplexity_ai for exceptional researchers from any discipline: physicists, quants, cognitive scientists. $220K annualized base, full benefits, visa sponsorship support. In-person SF or Palo Alto. Rolling. apply: 6.) DoorDash Research Fellowship - @DoorDash 3 months (extendable to 6) on applied ML in local commerce. Pick the problem, own the direction, publish or ship. Dedicated compute, housing stipend, Summer + Fall 2026 cohorts. apply: 7.) Amplify Partners Writing Fellowship - @AmplifyPartners 3 paid months for technical people (devs, researchers) who want to research and write in a focus area, with hands-on editing. Great fit for recent grad students or developers between things. apply: (Repost & Bookmark this) also follow @suraj_sharma14 to get such useful resources daily basis & join our group link in Bio.

斯坦福大学的创办人，Leland 和 Jane Stanford 夫妇，他们的独子 Leland Jr. 在 1884 年因伤寒去世。夫妇二人决定用巨额财富创办一所大学来纪念他。 他们曾向包括哈佛校长 Charles Eliot 在内的东部教育界人士寻求建议。最终，他们把加州 Palo Alto 的 8,180 英亩土地和大量财富捐出，建立 Leland Stanford Junior University，学校于 1891 年正式开学。 Leland Stanford 是当时的铁路巨头，在创建斯坦福大学之前二十年(1862年)已经担任加州州长，后来又被选为美国参议员。很难想象这样一对美国镀金时代的顶级富豪会是穿破旧衣服的乡下夫妇。

Larry Page wanted to build a digital god. "He really seemed to want some sort of digital superintelligence. Basically a digital god, if you will. As soon as possible." Elon Musk asked: "What about making sure humanity's okay here?" Page called him a speciesist. "I said yes, I'm a speciesist. You got me. What are you? I'm fully a speciesist. Busted." Musk spent 10 minutes with Tucker Carlson explaining why he created OpenAI: Tucker asked the basic question. "All of a sudden AI is everywhere. People are playing with it on their phones. Is that good or bad?" Musk starts with first principles. "The smartest creatures as far as we know on this Earth are humans. That's our defining characteristic." "We're obviously weaker than chimpanzees. Less agile. But we are smarter." "Now. What happens when something vastly smarter than the smartest person comes along in silicon form?" "It's very difficult to predict what will happen in that circumstance." He explains the singularity. "It's called the singularity. Like a black hole. Because you don't know what happens after that." "It's hard to predict." He argues for regulation. "I think there should be some government oversight. Because it affects the public. It's a danger to the public." "That's why we have the Food and Drug Administration. The Federal Aviation Administration. The FCC." "We have these agencies to oversee things that affect the public. Where there could be public harm." "You don't want companies cutting corners on safety. And then having people suffer as a result." He addresses the perception that he fights regulators. "People think I'm some sort of regulatory maverick that defies regulators on a regular basis. But this is actually not the case." "Once in a blue moon, rarely, I will disagree with regulators. But the vast majority of the time my companies agree with the regulations and comply." Tucker asks the obvious question. "All regulations start with a perceived danger. Planes fall out of the sky. I don't think an average person playing with AI on his iPhone perceives any danger." "Can you explain what you think the dangers might be?" Musk's answer. "AI is perhaps more dangerous than mismanaged aircraft design or production maintenance or bad car production." "In the sense that it has the potential. It is a small probability, but it is not trivial." "It has the potential of civilization destruction." He explains the timing problem. "Regulations are really only put into effect after something terrible has happened." "If that's the case for AI, and we only put in regulations after something terrible has happened, it may be too late to put the regulations in place." "They may be out of control at that point." Tucker asks directly. "It's conceivable that AI could take control and reach a point where you couldn't turn it off and it would be making the decisions for people?" Musk's answer. "Yeah. Absolutely." "That's definitely the way things are headed." He explains why OpenAI exists. "Larry Page and I used to be close friends. I would stay at his house in Palo Alto. I would talk to him late in the night about AI safety." "At least my perception was that Larry was not taking AI safety seriously enough." Tucker asked what Page said. "He really seemed to want some sort of digital superintelligence. Basically a digital god, if you will. As soon as possible." Musk pushed back. "I agree there's great potential for good. But there's also potential for bad." "If you have some radical new technology, you want to take actions to maximize the probability it will do good. Minimize the probability it will do bad things." "It can't just be barreling forward and hope for the best." Then the speciesist moment. "At one point I said: what about making sure humanity's okay here?" "And then he called me a speciesist." Tucker: "Did he use that term?" "Yes." "I said yes, I'm a speciesist. You got me. What are you? I'm fully a speciesist. Busted." That was the last straw. "At the time, Google had DeepMind. Google and DeepMind had three-quarters of all the AI talent in the world." "They obviously had a lot of money and more computers than anyone else." "We're in a unipolar world here. One company that has close to a monopoly on AI talent and computers. And the person who's in charge doesn't seem to care about safety." "This is not good." So he created the opposite. "I thought: what's the furthest thing from Google?" "A nonprofit that is fully open. Because Google was closed and for-profit." "Open AI. Open source. Transparent. So people know what's going on." "We don't want this to be a for-profit maximizing demon from hell that just never stops." Tucker asks about the specific danger. "The cool parts of AI are obvious. Write your college paper for you. Write a limerick about yourself. There's a lot that's fun and useful." "But can you be more precise about what's potentially dangerous? What specifically are you worried about?" Musk's answer. "The pen is mightier than the sword." "If you have a superintelligent AI that is capable of writing incredibly well. In a way that is very influential, convincing." "And is constantly figuring out what is more convincing to people over time." "And then enters social media. Twitter. Facebook. Others." "And potentially manipulates public opinion in a way that is very bad." "How would we even know?"