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I explain how Super Mario 64’s unopenable door was finally opened. If you want to support me and my efforts like this one, please consider becoming a member ...

🤑 A tech blogger, Pavel Fedorov, just earned $80,000+ in TON 🤑 from selling his username @pavel on the Fragment auction platform. 📈 As an early adopter of Telegram, Mr. Fedorov claimed the @pavel username 9 years ago for free. He put it up for auction a week ago. After a fierce bidding war, the crypto entrepreneur @founder, who owns @crypto and many other Telegram handles, won the auction. In a surprising twist, @founder gifted me the @pavel name earlier today. 🤝 Congratulations to Pavel Fedorov, and many thanks to @founder for the generous gift. This shows how Telegram users benefit from direct ownership over their names. $350M worth of Telegram usernames and anonymous numbers have been sold in the last 18 months. 🆕 The newest versions of Telegram allow you to see when and for how much a username was sold. To check it out, you can go to my channel’s profile and tap on @pavel or @snow. A few minutes ago, I bought @paul on Fragment for 🤑 10,000 TON — to prevent more people from giving me generous gifts 😆

❗️Землетрясение магнитудой 6 произошло на Тайване — сейсмологи

Павел Дуров дает интервью кому угодно, но не отечественным журналистам. Павел, дайте нам, мы уложимся в 30 минут! Ответы можете прислать письменно. Даже «Почтой России»

Humane’s AI Pin has been a highly anticipated, too-good-to-be-true device that promises to replace your smartphone, and now we’ve finally gotten to test it out. The Verge’s Editor-at-Large and Vergecast host, David Pierce, reviews AI Pin’s recognition and Q&A features, laser ink projector, but most of all, gets his patience tested. While the device lacked some fundamental software needs, the AI Pin is working towards something very, very cool. Just unsure how soon it'll come, if ever. Read more: https://www.theverge.com/e/23890543 00:00 Intro 01:46 What is Humane AI Pin? 03:53 Hardware (weight, size, battery overheating, accessories) 06:01 Gestures, laser ink display 8:06 Camera (photos, videos, scene detection) 9:50 Responsiveness 10:22 Software (Cosmos, Tidal, messaging, reminders) 14:40 Conclusion Subscribe: http://goo.gl/G5RXGs Like The Verge on Facebook: https://goo.gl/2P1aGc Follow on Twitter: https://goo.gl/XTWX61 Follow on Instagram: https://goo.gl/7ZeLvX Follow on TikTok: http://bit.ly/42VeCVU The Vergecast Podcast: https://pod.link/430333725 Decoder with Nilay Patel: http://apple.co/3v29nDc More about our podcasts: https://www.theverge.com/podcasts Read More: http://www.theverge.com Community guidelines: http://bit.ly/2D0hlAv Wallpapers from The Verge: https://bit.ly/2xQXYJr Subscribe to The Vergecast on YouTube, new episodes on Wednesday and Friday: https://bit.ly/3I6nJtz If you buy something from a Verge link, Vox Media may receive a commission without exerting any influence on editorial content. For more information about our ethics policy, visit: https://www.theverge.com/ethics-statement

Unpacking how large language models work under the hood Early view of the next chapter for patrons: https://3b1b.co/early-attention Special thanks to these supporters: https://3b1b.co/lessons/gpt#thanks To contribute edits to the subtitles, visit https://translate.3blue1brown.com/ Other recommended resources on the topic. Richard Turner's introduction is one of the best starting places: https://arxiv.org/pdf/2304.10557.pdf Coding a GPT with Andrej Karpathy https://youtu.be/kCc8FmEb1nY Introduction to self-attention by John Hewitt https://web.stanford.edu/class/cs224n/readings/cs224n-self-attention-transformers-2023_draft.pdf History of language models by Brit Cruise: https://youtu.be/OFS90-FX6pg Paper about examples like the “woman - man” one presented here: https://arxiv.org/pdf/1301.3781.pdf ------------------ Timestamps 0:00 - Predict, sample, repeat 3:03 - Inside a transformer 6:36 - Chapter layout 7:20 - The premise of Deep Learning 12:27 - Word embeddings 18:25 - Embeddings beyond words 20:22 - Unembedding 22:22 - Softmax with temperature 26:03 - Up next ------------------ These animations are largely made using a custom Python library, manim. See the FAQ comments here: https://3b1b.co/faq#manim https://github.com/3b1b/manim https://github.com/ManimCommunity/manim/ All code for specific videos is visible here: https://github.com/3b1b/videos/ The music is by Vincent Rubinetti. https://www.vincentrubinetti.com https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown https://open.spotify.com/album/1dVyjwS8FBqXhRunaG5W5u ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. If you're reading the bottom of a video description, I'm guessing you're more interested than the average viewer in lessons here. It would mean a lot to me if you chose to stay up to date on new ones, either by subscribing here on YouTube or otherwise following on whichever platform below you check most regularly. Mailing list: https://3blue1brown.substack.com Twitter: https://twitter.com/3blue1brown Instagram: https://www.instagram.com/3blue1brown Reddit: https://www.reddit.com/r/3blue1brown Facebook: https://www.facebook.com/3blue1brown Patreon: https://patreon.com/3blue1brown Website: https://www.3blue1brown.com

На этой неделе гугл в ходе длительного судебного разбирательства пошел на сделку и согласился удалить данные, собранные компанией о пользователях в режиме инкогнито до декабря 2023 года. В противном случае им грозил штраф в 5 млрд долларов. Думали инкогнито оставит вас инкогнито? Как бы ни так. Сам браузер в режиме инкогнито, разумеется, не собирал данные, но вот всякие тулзы, использующиеся самими сайтами, например для аналитики и продвижения, данные вполне себе собирали. Потом в Европе вышел GDPR, запрещающий подобное под угрозой многомиллионных штрафов, и то, что гугл с его гребаным адсенсом собирал с европейских сайтов и их пользователей в режиме инкогнито, стало не вполне законным. Иск к компании был подан еще в 2020 году. В компенсации в 5 миллиардов суд отказал, заявив, что каждый пострадавший может подать индивидуальный иск на компенсацию. Желающих набралось уже ~50 человек. Однако данные компании придется удалить и больше не собирать, по крайней мере через инкогнито. Верим?