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Algorithms is a song that explores the idea that Robots can’t experience being in the moment where as humans can and that is the beauty that separates us….. for now Click to pre-save Algorithms:

KasabianHQ

307,876 subscribers

34,962 просмотров • 3 лет назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 4

Фото профиля James Wade

James Wade3 лет назад

It actually sounds really good

Фото профиля Gelato

Gelato3 лет назад

That sound sick !!

Фото профиля CRUYFFISMO

CRUYFFISMO3 лет назад

COME TO SPAIN !!

Фото профиля JP

JP3 лет назад

Will it be a physical release?

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🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”

🚨 BRYAN JOHNSON: “We already live in a world run by algorithms. When you use Netflix, you’re not picking your content, the algorithm is for you. We don’t have free will. We’re already immeshed in this system of algorithms and we can’t see it. The irony is that we’re already this dystopia that we think is happening.”

Autism Capital 🧩

186,577 просмотров • 1 год назад

BREAKING: House Speaker Mike Johnson just said that Elon Musk is "inside" the federal agencies with new algorithms crawling through spending transactions. Tech bros are going to save our budget. JOHNSON: “Elon has cracked the code. He is now inside the agencies, he's created these algorithms that are constantly crawling through the data and as he told me in his office, the data doesn't lie." “Elon is in the middle. He is in the belly of the beast.” H/t Aaron Rupar

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Eric Daugherty

2,248,636 просмотров • 1 год назад

Q: "Does the organized Jewish community need a social media strategy?" American Jewish Committee CEO Ted Deutch: "[Social media] is driven by algorithms … and the way to address those algorithms is to deal directly with the social media companies—which is what we do." "And we can point to successes with Meta and with TikTok and with others in working to ensure that anti-Semitic material and anti-Semitic material that feeds into algorithms is taken down from their sites."

Q: "Does the organized Jewish community need a social media strategy?" American Jewish Committee CEO Ted Deutch: "[Social media] is driven by algorithms … and the way to address those algorithms is to deal directly with the social media companies—which is what we do." "And we can point to successes with Meta and with TikTok and with others in working to ensure that anti-Semitic material and anti-Semitic material that feeds into algorithms is taken down from their sites."

Chris Menahan 🇺🇸

61,062 просмотров • 7 месяцев назад

In 2019, Edward Snowden warned that the infrastructure for a Chinese-style social credit system was being built in plain sight. "All of these things are increasingly being created and programmed and decided by algorithms. And those algorithms are fuelled by precisely the innocent data that our devices are creating all of the time constantly, invisibly, quietly, right now."

In 2019, Edward Snowden warned that the infrastructure for a Chinese-style social credit system was being built in plain sight. "All of these things are increasingly being created and programmed and decided by algorithms. And those algorithms are fuelled by precisely the innocent data that our devices are creating all of the time constantly, invisibly, quietly, right now."

redpillbot

45,225 просмотров • 4 месяцев назад

In 2019, Edward Snowden warned that the infrastructure for a Chinese-style social credit system was being built in plain sight. "All of these things are increasingly being created and programmed and decided by algorithms. And those algorithms are fuelled by precisely the innocent data that our devices are creating all of the time—constantly, invisibly, quietly—right now."

In 2019, Edward Snowden warned that the infrastructure for a Chinese-style social credit system was being built in plain sight. "All of these things are increasingly being created and programmed and decided by algorithms. And those algorithms are fuelled by precisely the innocent data that our devices are creating all of the time—constantly, invisibly, quietly—right now."

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What Elon Musk is doing is truly revolutionary. As the DOGE algorithms find widespread fraud, waste, and abuse in the executive branch agencies that have been hidden from Congress for decades—it will allow us to restore the original intent of our Constitution: a leaner, more efficient, and more accountable federal government that is kept in check by the legislative branch.

What Elon Musk is doing is truly revolutionary. As the DOGE algorithms find widespread fraud, waste, and abuse in the executive branch agencies that have been hidden from Congress for decades—it will allow us to restore the original intent of our Constitution: a leaner, more efficient, and more accountable federal government that is kept in check by the legislative branch.

Speaker Mike Johnson

1,715,497 просмотров • 1 год назад

The Apollonians may have just totally redeemed themselves "I would look at morality...particularly Judaic Christian morality as, as also being a kind of weapon" "Jews got it in the heads of their their masters that actually being good is being meek, being good is being weak" "Being evil is being strong. And so that morality itself is wills of power. Morality can be used as a weapon and so much of what is directed against the identitarian idea or or nationalism" "So morality in this way can be a weapon used against us and, and I think so many of the, the, the fundamental reasons why white people aren't dominating the entire planet as as we certainly can is because of this black cloud that has been hanging over us" "This notion that our history is bad, that, that when we were in power that was just awful and immoral and, and, and and so on." "We need to have a a consciousness of morality and and to start reforming A morality willfully that that is that is life affirming and that is race affirming."

The Apollonians may have just totally redeemed themselves "I would look at morality...particularly Judaic Christian morality as, as also being a kind of weapon" "Jews got it in the heads of their their masters that actually being good is being meek, being good is being weak" "Being evil is being strong. And so that morality itself is wills of power. Morality can be used as a weapon and so much of what is directed against the identitarian idea or or nationalism" "So morality in this way can be a weapon used against us and, and I think so many of the, the, the fundamental reasons why white people aren't dominating the entire planet as as we certainly can is because of this black cloud that has been hanging over us" "This notion that our history is bad, that, that when we were in power that was just awful and immoral and, and, and and so on." "We need to have a a consciousness of morality and and to start reforming A morality willfully that that is that is life affirming and that is race affirming."

Seethroughitall

40,057 просмотров • 4 месяцев назад

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

China’s traffic-robot isn’t the point. The point is this: Robots in China are evolving the way smartphones did: quietly, rapidly, and everywhere at once. While the West is still debating “AI ethics” like it’s a philosophy seminar, China is already turning robots into: • street officers • delivery workers • cleaners • inspectors • hospital assistants • public-service infrastructure Not because it’s “cool,” but because the cost, governance, and scale actually make deployment possible. Meanwhile in America, the country that should be using robots in law enforcement, even the idea is taboo. And let’s be honest: A robot wouldn’t shoot someone because of their skin color. A robot wouldn’t choke a man over a broken taillight. A robot wouldn’t fire 30 rounds because it “felt threatened.” A robot doesn’t vote, doesn’t join a party, and doesn’t turn policing into a frontline of political tribalism. For all the Western talk about “AI ethics,” it’s China where robots enter public service, and the US where humans with guns still behave like malfunctioning algorithms. The future won’t belong to the countries that talk the most about technology, but to those that can actually use it to make society safer instead of bloodier. Robots won’t replace humans, they’ll just replace the parts of humanity that should’ve been retired long ago.

𝘊𝘰𝘳𝘳𝘪𝘯𝘦

15,065 просмотров • 8 месяцев назад

This episode is about the onboard intelligence that flies Vikram-1 to orbit: the GNC algorithms that follow a planned path and correct for deviation in real time, the avionics network of sensors and modules that act as the rocket's nervous system, and Ramanujan, the mission computer at the center of it all. #JourneyToOrbit #Vikram1

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My full AJ Forum speech last week: the common enemy of humanity is THE SYSTEM that has enabled the genocide in Palestine, including the financial capital that funds it, the algorithms that obscure it and the weapons that enable it.

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Francesca Albanese, UN Special Rapporteur oPt

1,094,498 просмотров • 7 месяцев назад

Former Greek finance minister Yanis Varoufakis says that the conflict in Gaza is being utilised as a laboratory for technology firms, such as Palantir, to train AI and data-gathering products. Beyond the political failure of the “pseudo-ceasefire”, Varoufakis says that global tech giants are exploiting the mass displacement and movement of Palestinians to refine their algorithms. He detailed a conversation with a tech insider, formerly of Palantir, who reportedly described the “Gaza event” as “exciting” for the industry and how high-volume data generated by the bombing of densely populated areas is being harvested to develop AI products. These algorithms are then rebranded as civilian tools for managing emergency logistics and hospital systems in the West.

Former Greek finance minister Yanis Varoufakis says that the conflict in Gaza is being utilised as a laboratory for technology firms, such as Palantir, to train AI and data-gathering products. Beyond the political failure of the “pseudo-ceasefire”, Varoufakis says that global tech giants are exploiting the mass displacement and movement of Palestinians to refine their algorithms. He detailed a conversation with a tech insider, formerly of Palantir, who reportedly described the “Gaza event” as “exciting” for the industry and how high-volume data generated by the bombing of densely populated areas is being harvested to develop AI products. These algorithms are then rebranded as civilian tools for managing emergency logistics and hospital systems in the West.

Middle East Eye

213,009 просмотров • 7 месяцев назад

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Khurram Javed

52,110 просмотров • 9 месяцев назад

"The information that they aggregate and apply algorithms to are designed to divide us and separate us and trigger us," says Frank McCourt on internet safety. "We believe that another protocol called DSMP returns ownership to us as individuals."

"The information that they aggregate and apply algorithms to are designed to divide us and separate us and trigger us," says Frank McCourt on internet safety. "We believe that another protocol called DSMP returns ownership to us as individuals."

Squawk Box

21,082 просмотров • 2 лет назад

There is so much at stake in this election, and, ultimately, the question before us is: What kind of country do we want to live in? The beauty of a democracy, as long as we can hold on to it, is that each of us has the power to answer that question.

There is so much at stake in this election, and, ultimately, the question before us is: What kind of country do we want to live in? The beauty of a democracy, as long as we can hold on to it, is that each of us has the power to answer that question.

Kamala Harris

32,990,045 просмотров • 2 лет назад