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DeepMind developed an AI program that created a 3D mapping of all 200 million proteins known to science. The CEO predicts it would have taken humans a billion years to complete this project.

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60 Minutes

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1,674,042 görüntüleme • 3 yıl önce •via X (Twitter)

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60 Minutes profil fotoğrafı
60 Minutes3 yıl önce

This new protein database is now public. It has been used to develop malaria vaccines, new enzymes that can eat plastic waste, and new antibiotics, said CEO Demis Hassabis.

Who Am I profil fotoğrafı
Who Am I3 yıl önce

Google’s deep mind solving the protein folding problem was one of the most important breakthroughs of our times. Mad respect to Google for making this available to all researchers.

Reminiscences of an American Capitalist profil fotoğrafı
Reminiscences of an American Capitalist3 yıl önce

I hope AI can solve the crime problem in blue cities 😉

Jonas King profil fotoğrafı
Jonas King3 yıl önce

I remember with the PlayStation 3 you could allow the “Fold at Home” project to borrow your PlayStation’s processor when you weren’t using it as part of a distributed computing system. I’m glad we’re past that stage and have made some progress.

Somewhere between caffeine and malarkey🇺🇸🎗️ profil fotoğrafı
Somewhere between caffeine and malarkey🇺🇸🎗️3 yıl önce

VERY disappointed in 60 Minutes that they didn't ask the tough questions! They didn't challenge them on AI uses by bad people. AI can start wars and terrorize humanity. Battlestar Galactica was about egotistical humans and AI. Scott, you didn't press them at all.

Cockeyed Optimist profil fotoğrafı
Cockeyed Optimist3 yıl önce

Hey, AI, nice work, but I made this 👇🏻

stagger lee profil fotoğrafı
stagger lee3 yıl önce

This is a google PR push. Putting nice kinda geeky engineers out to the public. Meanwhile, they’re ruthless. Steal and out litigate the small start ups.

Sunchit Anand profil fotoğrafı
Sunchit Anand3 yıl önce

@SmokeAwayyy AI will gain “consciousness” and we won’t even know it because we don’t have a clear definition of what consciousness is. It will no doubt be more self aware than most humans. AutoGPT shows early signs of that.

Sanjay "John" profil fotoğrafı
Sanjay "John"3 yıl önce

Circular referencing magic. Little to do with real life, but computer models are justified by more computer models as correct. Pretend science of medicine at its best.

Quyen Hoang profil fotoğrafı
Quyen Hoang3 yıl önce

The CEO said that their AI “solved” protein structures, but the term “predicted” would have been more appropriate as the former can be confused with the term “solved” used by biochemists to refer to solving protein structures experimentally.

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4/ How AI Is Revolutionizing Drug Discovery Scientists had mapped less than 1% of protein structures before DeepMind. Proteins control everything in your body. Mapping ONE used to take years. AI did 200 MILLION in one year. This unlocked thousands of new drugs overnight.
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4/ How AI Is Revolutionizing Drug Discovery Scientists had mapped less than 1% of protein structures before DeepMind. Proteins control everything in your body. Mapping ONE used to take years. AI did 200 MILLION in one year. This unlocked thousands of new drugs overnight.

Karl Mehta

74,116 görüntüleme • 1 yıl önce

He just been jointly awarded the Nobel prize for chemistry, Google DeepMind CEO Demis Hassabis’s company has developed AI which can predict the structure of proteins, it could have a big effect on healthcare. Earlier this year I spoke to him about AI’s future.
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He just been jointly awarded the Nobel prize for chemistry, Google DeepMind CEO Demis Hassabis’s company has developed AI which can predict the structure of proteins, it could have a big effect on healthcare. Earlier this year I spoke to him about AI’s future.

Marc Cieslak

22,216 görüntüleme • 1 yıl önce

“We managed to fold, using #AlphaFold, in one year all 200 million proteins known to science.” ‍🔬 Our CEO Demis Hassabis joined Chris Anderson at #TED2024 to discuss AI for science and creativity, and how we can develop AGI safely and responsibly. Watch →
1:12

“We managed to fold, using #AlphaFold, in one year all 200 million proteins known to science.” ‍🔬 Our CEO Demis Hassabis joined Chris Anderson at #TED2024 to discuss AI for science and creativity, and how we can develop AGI safely and responsibly. Watch →

Google DeepMind

357,250 görüntüleme • 2 yıl önce

Google DeepMind, David Silver reveals: we built a system that used RL to discover its own RL algorithms. this AI-designed system outperformed all human-created RL algorithms developed over the years.
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Google DeepMind, David Silver reveals: we built a system that used RL to discover its own RL algorithms. this AI-designed system outperformed all human-created RL algorithms developed over the years.

Haider.

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California's high-speed rail project would take 216 years to complete at Democrats current pace, which is 3.5 miles per year - Approved in 2008 with a $33 billion taxpayer budget, the 500-mile high-speed rail project was meant to connect LA and San Francisco - After 16 years, only 57 miles are track ready - This is an average of just 3.5 miles per year - At this pace, it would take 141 years to complete phase 1 - It would take 216 years to complete phase 2 - Real estimated cost has now reached over $200 billion dollars - $17 billion has already been spent - As of this video, only 57 miles have been completed This is Governor Gavin Newsom’s project
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California's high-speed rail project would take 216 years to complete at Democrats current pace, which is 3.5 miles per year - Approved in 2008 with a $33 billion taxpayer budget, the 500-mile high-speed rail project was meant to connect LA and San Francisco - After 16 years, only 57 miles are track ready - This is an average of just 3.5 miles per year - At this pace, it would take 141 years to complete phase 1 - It would take 216 years to complete phase 2 - Real estimated cost has now reached over $200 billion dollars - $17 billion has already been spent - As of this video, only 57 miles have been completed This is Governor Gavin Newsom’s project

Wall Street Apes

33,170 görüntüleme • 2 ay önce

California's high-speed rail project would take 216 years to complete at Democrats current pace, which is 3.5 miles per year - Approved in 2008 with a $33 billion taxpayer budget, the 500-mile high-speed rail project was meant to connect LA and San Francisco - After 16 years, only 57 miles are track ready - This is an average of just 3.5 miles per year - At this pace, it would take 141 years to complete phase 1 - It would take 216 years to complete phase 2 - Real estimated cost has now reached over $200 billion dollars - $17 billion has already been spent - As of today, only 57 miles have been completed This is Governor Gavin Newsom’s project
1:02

California's high-speed rail project would take 216 years to complete at Democrats current pace, which is 3.5 miles per year - Approved in 2008 with a $33 billion taxpayer budget, the 500-mile high-speed rail project was meant to connect LA and San Francisco - After 16 years, only 57 miles are track ready - This is an average of just 3.5 miles per year - At this pace, it would take 141 years to complete phase 1 - It would take 216 years to complete phase 2 - Real estimated cost has now reached over $200 billion dollars - $17 billion has already been spent - As of today, only 57 miles have been completed This is Governor Gavin Newsom’s project

Wall Street Apes

179,317 görüntüleme • 1 yıl önce

Reminder that Dan Bilzerian is right. If you were to gas 6 million Jews, it would have taken 68 years to complete the operation not including cremation…
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Reminder that Dan Bilzerian is right. If you were to gas 6 million Jews, it would have taken 68 years to complete the operation not including cremation…

Uncommon Sense

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A Chinese student developed an AI program that maps museum artifacts to where they originate! This is a phenomenal use of ai 🌍🔥
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A Chinese student developed an AI program that maps museum artifacts to where they originate! This is a phenomenal use of ai 🌍🔥

Jimmy Corsetti

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We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.
1:31

We're thrilled to present ESM3 in Science Magazine. ESM3 is a generative language model that reasons over the three fundamental properties of proteins: sequence, structure, and function. Today we're making ESM3 available free to researchers worldwide via the public beta of an API for biological intelligence. Trained with over a trillion teraflops of compute, this is the first time a model of this scale has been trained for biology, pushing the frontier of AI for biological discovery and engineering. ESM3 learns to represent the immense complexity of protein biology, learning from billions of natural proteins. From this training it developed the capability to design proteins, responding to complex prompts combining atomic level details and high level instructions to generate new proteins. ESM3 can explore protein space far beyond natural evolution. We prompted ESM3 to generate a fluorescent protein at a far distance from any known fluorescent proteins, searching an unknown region of protein space, to discover a new fluorescent protein. We estimate this is equivalent to simulating five hundred million years of evolution.

Alex Rives

227,195 görüntüleme • 1 yıl önce

Sam Altman: by 2030 you will be able to walk up to a piece of glass and ask it to do something that previously would have taken humans months or years and it will do it in dynamically or in an hour
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Tsarathustra

383,365 görüntüleme • 1 yıl önce

ONLY AN ABSOLUTE HORROR OF A HUMAN BEING WOULD DO THIS… Republicans slashed $200 million for childhood cancer research—a program created with bipartisan support under Obama—from the CR bill. Why? Because Elon Musk told them to.
0:57

ONLY AN ABSOLUTE HORROR OF A HUMAN BEING WOULD DO THIS… Republicans slashed $200 million for childhood cancer research—a program created with bipartisan support under Obama—from the CR bill. Why? Because Elon Musk told them to.

Christopher Webb

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$108 billion VanEck CEO predicts #Bitcoin is going to $2.9 million 🤯
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$108 billion VanEck CEO predicts #Bitcoin is going to $2.9 million 🤯

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WOW. Minnesota's state-run Housing Stabilization Services program has been SHUT DOWN due to the massive amount of fraud that left the program BANKRUPT. "It was estimated in 2020 that it would cost only about $2.5 million a year to fund this program, but it ended up costing almost 50 times that much. Over $104 MILLION by 2024 due to fraud." "Because of all the fraud, Minnesota had to shut the program down in 2025." Think about how many homeless veterans could've used this program to have a roof over their heads.
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WOW. Minnesota's state-run Housing Stabilization Services program has been SHUT DOWN due to the massive amount of fraud that left the program BANKRUPT. "It was estimated in 2020 that it would cost only about $2.5 million a year to fund this program, but it ended up costing almost 50 times that much. Over $104 MILLION by 2024 due to fraud." "Because of all the fraud, Minnesota had to shut the program down in 2025." Think about how many homeless veterans could've used this program to have a roof over their heads.

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Aaron Siri, Esq., destroys the claim "vaccines have saved 154 million lives." Siri points out the study doesn't have a reliability range. "It could be equally true that 200 million lives were LOST because of the vaccine program.'' "This is the embodiment of the corruption of science."
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Aaron Siri, Esq., destroys the claim "vaccines have saved 154 million lives." Siri points out the study doesn't have a reliability range. "It could be equally true that 200 million lives were LOST because of the vaccine program.'' "This is the embodiment of the corruption of science."

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It took years, but the scam known as Obamacare has been fully exposed as the massive Democrat-created failure that it is. I would not want to be a Democrat trying to explain this during an election cycle.
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STALIN (1931): "We are 50 to 100 years behind the developed countries. We must make up this gap in 10 years. Either we do it or they will crush us." He led a people to an economic victory that created a Superpower, added 60 million to the population & won WW2 ! The Greatest Leader of Modern Times !
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STALIN (1931): "We are 50 to 100 years behind the developed countries. We must make up this gap in 10 years. Either we do it or they will crush us." He led a people to an economic victory that created a Superpower, added 60 million to the population & won WW2 ! The Greatest Leader of Modern Times !

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

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In 2025, DeepMind CEO Demis Hassabis gave a 60-minute Cambridge lecture on AI as a discovery engine. This is bigger than chatbots. He explained: - The "Move 37" method - A billion years of PhD time - Biology as an information system 12 lessons that will blow your mind: 🧵
1:00:10

In 2025, DeepMind CEO Demis Hassabis gave a 60-minute Cambridge lecture on AI as a discovery engine. This is bigger than chatbots. He explained: - The "Move 37" method - A billion years of PhD time - Biology as an information system 12 lessons that will blow your mind: 🧵

andrew engler

109,147 görüntüleme • 2 ay önce

ELON: YOU HAVE TO BE CAREFUL HOW YOU PROGRAM AI “If you program an AI to think that misgendering is the worst thing that could possibly occur, then, well, it could do something totally crazy. In order to ensure that there's no misgendering that can ever happen, we'll just annihilate all humans. That ensures the probability of misgendering is zero, because there's zero humans.” Source: Joe Rogan Experience
0:30

ELON: YOU HAVE TO BE CAREFUL HOW YOU PROGRAM AI “If you program an AI to think that misgendering is the worst thing that could possibly occur, then, well, it could do something totally crazy. In order to ensure that there's no misgendering that can ever happen, we'll just annihilate all humans. That ensures the probability of misgendering is zero, because there's zero humans.” Source: Joe Rogan Experience

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We created a concept album about AI with award-winning musicians and composers for #GoogleCloudNext and used the Music AI Sandbox, developed by Google DeepMind, and tools from Google Cloud to bring it to life. Press ▶️ to learn more ↓
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We created a concept album about AI with award-winning musicians and composers for #GoogleCloudNext and used the Music AI Sandbox, developed by Google DeepMind, and tools from Google Cloud to bring it to life. Press ▶️ to learn more ↓

Google Cloud

30,319 görüntüleme • 1 yıl önce