Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

🚨Patrick Bet-David talks about how language learning models are causing brain atrophy in the youth. "Language learning models have done so much damage to the youth brain and processing." (🎥: Tristan Dlabik Podcast)

PBDsPodcast's profile picture

PBD Podcast

534,700 subscribers

11,525 Aufrufe • vor 24 Tagen •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

Geoffrey Hinton says AI models understand in the same way that people do and the best model we have of how the human brain works is large language models
1:02

Geoffrey Hinton says AI models understand in the same way that people do and the best model we have of how the human brain works is large language models

Tsarathustra

59,171 Aufrufe • vor 1 Jahr

The brain can tolerate an incredible degree of needless complexity, which comes in handy when you're learning a new language. Right now, I’m learning French, and John McWhorter helped me get unconfused about its complicated sophistication:
6:19

The brain can tolerate an incredible degree of needless complexity, which comes in handy when you're learning a new language. Right now, I’m learning French, and John McWhorter helped me get unconfused about its complicated sophistication:

Bill Gates

617,548 Aufrufe • vor 2 Jahren

Meta FAIR and Rothschild Foundation Hospital present a groundbreaking study mapping how language representations emerge in the brain, revealing striking parallels with LLMs. This research offers unprecedented insights into the neural development of language, showing how AI models like wav2vec 2.0 and Llama 4 mirror the brain's language processing. Discover how these findings pave the way for new frameworks in understanding human intelligence and developing clinical tools for language support. 📄 Read the full research paper: ➡️
1:29

Meta FAIR and Rothschild Foundation Hospital present a groundbreaking study mapping how language representations emerge in the brain, revealing striking parallels with LLMs. This research offers unprecedented insights into the neural development of language, showing how AI models like wav2vec 2.0 and Llama 4 mirror the brain's language processing. Discover how these findings pave the way for new frameworks in understanding human intelligence and developing clinical tools for language support. 📄 Read the full research paper: ➡️

AI at Meta

28,761 Aufrufe • vor 1 Jahr

The next frontier after language models is world models, and learning to predict the next state of a world. Hear from our researchers how these models really work at a low-level and the mountain we're climbing. A general-purpose world simulator (AKA sci-fi) is now in sight.
17:45

The next frontier after language models is world models, and learning to predict the next state of a world. Hear from our researchers how these models really work at a low-level and the mountain we're climbing. A general-purpose world simulator (AKA sci-fi) is now in sight.

Odyssey

25,857 Aufrufe • vor 6 Monaten

Learning to Decode Collaboratively with Multiple Language Models We propose a method to teach multiple large language models (LLM) to collaborate by interleaving their generations at the token level. We model the decision of which LLM generates the next token as a latent
0:44

Learning to Decode Collaboratively with Multiple Language Models We propose a method to teach multiple large language models (LLM) to collaborate by interleaving their generations at the token level. We model the decision of which LLM generates the next token as a latent

AK

52,282 Aufrufe • vor 2 Jahren

.Patrick Bet-David on how there is something special about farmers that no AI will ever be able to replace. "There is something so beautiful about what a farmer does that an AI language learning model will never, ever get my heart the way a farmer gets my heart."
4:33

.Patrick Bet-David on how there is something special about farmers that no AI will ever be able to replace. "There is something so beautiful about what a farmer does that an AI language learning model will never, ever get my heart the way a farmer gets my heart."

PBD Podcast

22,639 Aufrufe • vor 3 Monaten

🟠 Could learning a new language help with ageing? Multilingualist expert Bilingual Brain Lab speaks to Sophy Ridge and Wilfred Frost about bilingualism and brain health 🧠 📺 Sky 501, Virgin 602, Freeview 233 and YouTube
4:04

🟠 Could learning a new language help with ageing? Multilingualist expert Bilingual Brain Lab speaks to Sophy Ridge and Wilfred Frost about bilingualism and brain health 🧠 📺 Sky 501, Virgin 602, Freeview 233 and YouTube

Ridge & Frost

20,412 Aufrufe • vor 7 Monaten

Demis on why world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️
2:32

Demis on why world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️

Bearly AI

78,545 Aufrufe • vor 1 Monat

Demis Hassabis says large language models (LLMs) can search and plan but they forget everything once the session ends. This is because today’s models don’t truly “learn” after deployment. He sees continual learning and better memory as key missing ingredients for AGI. Efficient memory, like the brain’s ability to store only what matters, will be crucial. LLMs are powerful, but without memory, they have a "goldfish brain."
4:40

Demis Hassabis says large language models (LLMs) can search and plan but they forget everything once the session ends. This is because today’s models don’t truly “learn” after deployment. He sees continual learning and better memory as key missing ingredients for AGI. Efficient memory, like the brain’s ability to store only what matters, will be crucial. LLMs are powerful, but without memory, they have a "goldfish brain."

Wes Roth

38,833 Aufrufe • vor 4 Monaten

Students in Christ the King secondary Onitsha are learning the Chinese language.
1:48

Students in Christ the King secondary Onitsha are learning the Chinese language.

Chude

16,530 Aufrufe • vor 29 Tagen

The most clearest and crisp explanation, I've ever heard, of how large language models compress and capture a "world-model" in their weights simply by learning to predict the next word accurately. Furthermore, how the raw power of these base models can then be tamed by teaching them to follow instructions from humans. Source:
3:14

The most clearest and crisp explanation, I've ever heard, of how large language models compress and capture a "world-model" in their weights simply by learning to predict the next word accurately. Furthermore, how the raw power of these base models can then be tamed by teaching them to follow instructions from humans. Source:

Zain

970,935 Aufrufe • vor 2 Jahren

Learning from the youth…
0:23

Learning from the youth…

JOE GLEASON

38,424 Aufrufe • vor 8 Monaten

Face-to-face interactions stimulate your newborn’s brain in ways that pave the way for language learning. This according to fascinating new research from Dr. Patricia Kuhl and colleagues at the I-LABS. We’ve long known that serve and return stimulates the infant brain and supports parent/child bonding. But now, through use of magnetoencephalography (a fancy brain scan), Kuhl and colleagues have determined that these early interactions play a role in stimulating specific attention centers in the brain critical to language learning during a sensitive window from 6-12 months. In the study, children with the highest levels of stimulation in these attention centers at 5 months demonstrated superior language learning at five future points, measured up to two years after the initial scans. Fascinating stuff! If you’d like to learn more, check out the great summary by Kristina Compton of Early Learning Nation linked in the first reply below. And if you really want to nerd out, you can read the full study linked in the second reply. This great video example was shared to IG by babies.wonderful.
0:31

Face-to-face interactions stimulate your newborn’s brain in ways that pave the way for language learning. This according to fascinating new research from Dr. Patricia Kuhl and colleagues at the I-LABS. We’ve long known that serve and return stimulates the infant brain and supports parent/child bonding. But now, through use of magnetoencephalography (a fancy brain scan), Kuhl and colleagues have determined that these early interactions play a role in stimulating specific attention centers in the brain critical to language learning during a sensitive window from 6-12 months. In the study, children with the highest levels of stimulation in these attention centers at 5 months demonstrated superior language learning at five future points, measured up to two years after the initial scans. Fascinating stuff! If you’d like to learn more, check out the great summary by Kristina Compton of Early Learning Nation linked in the first reply below. And if you really want to nerd out, you can read the full study linked in the second reply. This great video example was shared to IG by babies.wonderful.

Dan Wuori

95,495 Aufrufe • vor 2 Jahren

Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions. Read the open accessed article in Nature ➡️
0:24

Meta AI researchers show how current language models differ from the human brain & highlight the role of long-range & hierarchical predictions. Read the open accessed article in Nature ➡️

AI at Meta

426,203 Aufrufe • vor 3 Jahren

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.
2:32

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Bearly AI

123,666 Aufrufe • vor 6 Monaten

Deep learning. Large language models. Vast capabilities. ☁️💻💡 From chatbots to code generation, learn how #GenerativeAI is redefining #ML-powered capabilities—& how you can build & use large language on #AWS. #MachineLearning #AI 👉
0:21

Deep learning. Large language models. Vast capabilities. ☁️💻💡 From chatbots to code generation, learn how #GenerativeAI is redefining #ML-powered capabilities—& how you can build & use large language on #AWS. #MachineLearning #AI 👉

Amazon Web Services

113,245 Aufrufe • vor 3 Jahren

🚨Patrick Bet-David on why guilt is one of the worst things a parent can use on their kids. "One of the worst things you can do with your kids is to use guilt. It produces a very weird emotion in kids. It's such a painful thing to the kid. They don't deserve this." (🎥: Tristan Dlabik Podcast)
1:26

🚨Patrick Bet-David on why guilt is one of the worst things a parent can use on their kids. "One of the worst things you can do with your kids is to use guilt. It produces a very weird emotion in kids. It's such a painful thing to the kid. They don't deserve this." (🎥: Tristan Dlabik Podcast)

PBD Podcast

133,772 Aufrufe • vor 29 Tagen

Today we introduce T-Free, a new paradigm in language processing. Tokenization is one of the core building blocks of large language models (LLMs), transforming natural language into numeric representations for further processing. (1/3) 🔗 #writtenbyalephalpha
0:54

Today we introduce T-Free, a new paradigm in language processing. Tokenization is one of the core building blocks of large language models (LLMs), transforming natural language into numeric representations for further processing. (1/3) 🔗 #writtenbyalephalpha

Aleph Alpha

18,120 Aufrufe • vor 1 Jahr