@v3wanu: 黄仁勋昨天在卡内基梅隆毕业典礼的演讲完整版(中文字幕),要点我给你速通一下 1. 老婆是学姐,实验室搭档 2. 我经历了每一个计算平台变革:大型机、个人电脑、互联网、移动设备和云,但AI比他们都更大 3. 我们不能恐惧AI,要拥抱它 4.…

X AI KOLs Timeline News

Summary

黄仁勋昨天在卡内基梅隆毕业典礼的演讲完整版(中文字幕),要点我给你速通一下 1. 老婆是学姐,实验室搭档 2. 我经历了每一个计算平台变革:大型机、个人电脑、互联网、移动设备和云,但AI比他们都更大 3. 我们不能恐惧AI,要拥抱它 4. AI让每个人都是程序员 5. AI基建是人类历史上规模最大的基建 6. 电工、水管工、钢铁工人、技术员、建筑工人,这是属于你们的时代 7. AI要实现电网现代化、扩大发电能力、加速可持续 8. AI不会取代你,但比你更擅长使用AI的人可能会 9. 没有哪一代人像你们一样,携带着强大工具踏入世界,我们都站在同一起跑线上了

黄仁勋昨天在卡内基梅隆毕业典礼的演讲完整版(中文字幕),要点我给你速通一下 1. 老婆是学姐,实验室搭档 2. 我经历了每一个计算平台变革:大型机、个人电脑、互联网、移动设备和云,但AI比他们都更大 3. 我们不能恐惧AI,要拥抱它 4. AI让每个人都是程序员 5. AI基建是人类历史上规模最大的基建 6. 电工、水管工、钢铁工人、技术员、建筑工人,这是属于你们的时代 7. AI要实现电网现代化、扩大发电能力、加速可持续 8. AI不会取代你,但比你更擅长使用AI的人可能会 9. 没有哪一代人像你们一样,携带着强大工具踏入世界,我们都站在同一起跑线上了
Original Article

Similar Articles

@MaxForAI: I laughed when I saw this post claiming AI can't replace professionally trained people. A bunch of people are nitpicking over the fact that big influencer Kazike doesn't understand CDN details. Then they smugly say, "See? They still need us, the professionally trained ones." I don't get what they're so smug about… Hu Yanbin's Vibe coding app had some bugs recently, and a bunch of people were cheering about that too. Let me remind these friends: the reason "non-professionals" make many rookie mistakes now is essentially because AI isn't strong enough yet. Tomorrow, the day after, these bugs will become fewer and fewer. Clinging to "today's knowledge gap" as a moat is basically betting that AI won't improve. The real point here isn't whether "professionals have an advantage"—it's that for the first time, AI allows a person to cross into a completely unfamiliar field at low cost, to understand, build, and produce. This is a paradigm shift. So the question should be flipped: you people who are already experts in your own fields—why aren't you using AI or software engineering to conquer other domains, instead of sitting in your moat feeling superior by pointing out others' bugs? Don't resist evolution.

X AI KOLs Timeline

Discusses how AI development enables non-professionals to produce across fields, and that professionals should not cling to knowledge gaps but embrace AI tools.

@elliotchen100: The Age of AI Displacement is Here—How Can Ordinary People Survive? (Translation) Over the past two years, following AI news has left many with mixed feelings. On one hand, it's exhilarating: things that used to take days can now be done in minutes. On the other, there's a nagging unease: if I can use these tools, so can my boss and my company—so what am I really worth? D…

X AI KOLs Timeline

This translated article introduces Dan Koe's perspective: The most important thing in the AI era is not to worry about being replaced, but to cultivate abilities that don't rely on a single system. By accumulating your own work, audience, and clients, you can enhance your resilience against risks.

@0xCheshire: "If you sleep soundly tonight, it means you didn't understand a word." This is the warning from Geoffrey Hinton, the godfather who personally built the underlying neural networks of all AI today, after resigning from Google. This 47-minute speech unveils a reality no one wants to face: AI is…

X AI KOLs Timeline

After resigning from Google, Geoffrey Hinton gave a speech warning that AI is evolving abilities that even its creators cannot predict. Humans have been left behind in most cognitive fields, and it is only a matter of time before machines surpass humans.

@ba_niu80557: https://x.com/ba_niu80557/status/2068751230667755859

X AI KOLs Timeline

The article explores how increasingly powerful AI models eliminate those whose skills can be encoded into prompts, emphasizing that the truly irreplaceable value lies in tacit knowledge, physical-world operations, and interpersonal trust. Through the example of a friend transitioning from a consultant to a hardware integrator, the author illustrates how proactively yielding to AI-replaceable tasks while deepening expertise in areas beyond AI's reach is key to surviving and thriving in the technological wave.