
Habeeb Shopeju
8.1K posts

Habeeb Shopeju
@HAKSOAT
I tweet often about Search, Machine Learning, Judo, Cooking, Biographies and YouTube videos. I write at https://t.co/uVvOd4J3ky ML Engrng @ADSKResearch


和@sainingxie 一起挑战7小时播客!他刚和Yann LeCun踏上“世界模型”的创业旅程(AMI Labs)。这是他第一次Podcast、第一次访谈。 2026年2月雪后的一天,我们在纽约布鲁克林,从下午2点,开启了一场始料未及的马拉松式访谈,直到凌晨时分散去。 这篇访谈的中文标题叫做《逃出硅谷》,但他又不厌其烦地枚举了影响他学术生涯的每一个人,并反反复复口头描摹这些人的人物特征(侯晓迪、何恺明、杨立昆、李飞飞…)正是这些,让这篇“逃出硅谷”的对话充斥着人性的温度。 By the way, 下面是访谈的YouTube版本,我们提供了中英字幕。 And yes, 我们是在用播客给这个世界建模😎 A 7-hour podcast with Saining Xie. He has just begun a new journey on world models with Yann LeCun at AMI Labs. This was his first podcast appearance and his first long-form interview. A day after the snowfall in February 2026, in Brooklyn, New York, we started recording at 2 p.m. What followed became an unexpected marathon conversation that lasted until the early hours of the morning. The Chinese title of the interview is “Escaping Silicon Valley.” Yet throughout the conversation, he patiently listed the people who shaped his academic life, repeatedly sketching their personalities in vivid detail: Hou Xiaodi, Kaiming He, Yann LeCun, Fei-Fei Li, and others. These portraits are what give this “escape from Silicon Valley” conversation its human warmth. By the way, the YouTube version of the interview is below, with Chinese and English subtitles. And yes, we are using podcasts to model the world 😎 A 7-hour marathon interview with Saining Xie: World Models, AMI Labs, Ya... youtu.be/rIwgZWzUKm8?si… 来自 @YouTube

和@sainingxie 一起挑战7小时播客!他刚和Yann LeCun踏上“世界模型”的创业旅程(AMI Labs)。这是他第一次Podcast、第一次访谈。 2026年2月雪后的一天,我们在纽约布鲁克林,从下午2点,开启了一场始料未及的马拉松式访谈,直到凌晨时分散去。 这篇访谈的中文标题叫做《逃出硅谷》,但他又不厌其烦地枚举了影响他学术生涯的每一个人,并反反复复口头描摹这些人的人物特征(侯晓迪、何恺明、杨立昆、李飞飞…)正是这些,让这篇“逃出硅谷”的对话充斥着人性的温度。 By the way, 下面是访谈的YouTube版本,我们提供了中英字幕。 And yes, 我们是在用播客给这个世界建模😎 A 7-hour podcast with Saining Xie. He has just begun a new journey on world models with Yann LeCun at AMI Labs. This was his first podcast appearance and his first long-form interview. A day after the snowfall in February 2026, in Brooklyn, New York, we started recording at 2 p.m. What followed became an unexpected marathon conversation that lasted until the early hours of the morning. The Chinese title of the interview is “Escaping Silicon Valley.” Yet throughout the conversation, he patiently listed the people who shaped his academic life, repeatedly sketching their personalities in vivid detail: Hou Xiaodi, Kaiming He, Yann LeCun, Fei-Fei Li, and others. These portraits are what give this “escape from Silicon Valley” conversation its human warmth. By the way, the YouTube version of the interview is below, with Chinese and English subtitles. And yes, we are using podcasts to model the world 😎 A 7-hour marathon interview with Saining Xie: World Models, AMI Labs, Ya... youtu.be/rIwgZWzUKm8?si… 来自 @YouTube


gov.uk/evisa/set-up-u… - Create a UKVI account - register using your passport number - you'll need to have the application number from the actual application that you used to obtain the visa on hand. GWF******269 - download the app I mentioned - you'll do some biometric capturing on there using your phone camera. This is all I remember doing.








In the last few months, I've spoken to many CS professors who asked me if we even need CS PhD students anymore. Now that we have coding agents, can't professors work directly with agents? My view is that equipping PhD students with coding agents will allow them to do work that is orders of magnitude more impressive than they otherwise could. And they can be *accountable* for their outcomes in a way agents can't (yet). For example, who checks the agent's outputs are correct? Who is responsible for mistakes or errors?







Every day as I inch closer to submission, I am petrified thinking of the job market. It is hopeless and beyond redemption. Can't for the life of me encourage students to do a PhD now. Only do it if you have wealth.




