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Spiking Neural Network from scratch achieves 8% accuracy. no backpropagation or SGD I created a genetic hyper parameter optimizer and it now, on average, can get 8% accuracy which is ~3% above chance Link to source code with a detailed video and markdown explanations in comment it also usually... starts lower than 5% and slowly improves then eventually can start dipping below 5%, all of which leads me to believe there is glimmers of learning taking place. sometims it is stabel around 7-8-9% for a long time there is no backpropagation or SGD. it learns via STDP (spike timing dependent plasticity) and a reward mechanism each example is presented n many times (500 in this case) which produces spike train which leads to eligibility list, at the end of a turn based on if the answer was correct or not we adjust the weights using the reward as a multiplier spike timing keeps track of the sequence of neuron firings and which ones were more likely to have lead to the correct answer let me know what you thinkshow more

echo.hive

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I built a biologically inspired spiking neural network from scratch and it learned with %5 accuracy to do addition :) There is no backpropagation, no artificial loss functions - just spikes, synapses, and dopamine-like reward signals. it uses STDP -> "Spike-Timing-Dependent Plasticity" with modulated rewards This is super fun and I will try to get it to learn with better accuracy. I also need to better understand how all the moving parts fit together Link to source code in comment which has a detailed readme and html with animations explaining how it all works

I built a biologically inspired spiking neural network from scratch and it learned with %5 accuracy to do addition :) There is no backpropagation, no artificial loss functions - just spikes, synapses, and dopamine-like reward signals. it uses STDP -> "Spike-Timing-Dependent Plasticity" with modulated rewards This is super fun and I will try to get it to learn with better accuracy. I also need to better understand how all the moving parts fit together Link to source code in comment which has a detailed readme and html with animations explaining how it all works

echo.hive

447,978 Aufrufe • vor 11 Monaten

As many of you know, for the last five months I've been working full-time on my next big thing. The challenge was to invent something new and implement it entirely using LLMs for writing code. The first stage of the project is now complete: the web application, which I called is now online and accepting users. You can see a short demo in the video. 100% of the code of the app was generated by LLMs (mostly Gemini and Claude, maybe 10% of ChatGPT). I haven't written a single line of code. The tech stack is TypeScript, React, and Supabase/Postgres which was (and still is) fully new to me. During these five months, I implemented from scratch three versions of the software. It started as a Markdown editor to help me with my book writing and ended up as an AI-assisted reading and self-learning platform. What makes ChapterPal unique is a novel reading experience where the user can use the keyboard keys to reveal or "unreveal" the content and ask questions at any moment. (Mouse wheel, touchpad, smartphone screen, and voice input are also supported.) The LLM receives the entire content of the chapter and tries to answer questions based on the chapter's content, which reduces the chance of hallucination to the minimum. (Though not to 0%, of course, but near it.) This way of content consumption is known as **active reading,** a strategy for engaging with a text to improve comprehension and retention by consciously interacting with the material. The goal is to move beyond passive reading to a deeper understanding of the text and to remember key information more effectively. The registration on ChapterPal is via the waiting list. This is to avoid unexpected load spikes and cloud charges. Usually, it takes less than 24 hours for me to activate a user. Give it a try and let me know what you think. The next stage is finishing the content ingestion pipeline, which will automatically convert high-quality content from sources like HTML, PDF, and LaTeX into Markdown. Obviously, only those pieces whose licenses allow creating copies. ChapterPal has its own collection of textbooks and articles on AI, machine learning, and data science topics. If you don't find a piece of content you would like to read in ChapterPal's collection, a Chrome extension, ChapterPal Uploader, allows you to upload any PDF or HTML page to ChapterPal in one click. The content is only available for you to read to avoid the possibility of copyright infringement. I hope you enjoy using it as much as I enjoy building it.

As many of you know, for the last five months I've been working full-time on my next big thing. The challenge was to invent something new and implement it entirely using LLMs for writing code. The first stage of the project is now complete: the web application, which I called is now online and accepting users. You can see a short demo in the video. 100% of the code of the app was generated by LLMs (mostly Gemini and Claude, maybe 10% of ChatGPT). I haven't written a single line of code. The tech stack is TypeScript, React, and Supabase/Postgres which was (and still is) fully new to me. During these five months, I implemented from scratch three versions of the software. It started as a Markdown editor to help me with my book writing and ended up as an AI-assisted reading and self-learning platform. What makes ChapterPal unique is a novel reading experience where the user can use the keyboard keys to reveal or "unreveal" the content and ask questions at any moment. (Mouse wheel, touchpad, smartphone screen, and voice input are also supported.) The LLM receives the entire content of the chapter and tries to answer questions based on the chapter's content, which reduces the chance of hallucination to the minimum. (Though not to 0%, of course, but near it.) This way of content consumption is known as active reading, a strategy for engaging with a text to improve comprehension and retention by consciously interacting with the material. The goal is to move beyond passive reading to a deeper understanding of the text and to remember key information more effectively. The registration on ChapterPal is via the waiting list. This is to avoid unexpected load spikes and cloud charges. Usually, it takes less than 24 hours for me to activate a user. Give it a try and let me know what you think. The next stage is finishing the content ingestion pipeline, which will automatically convert high-quality content from sources like HTML, PDF, and LaTeX into Markdown. Obviously, only those pieces whose licenses allow creating copies. ChapterPal has its own collection of textbooks and articles on AI, machine learning, and data science topics. If you don't find a piece of content you would like to read in ChapterPal's collection, a Chrome extension, ChapterPal Uploader, allows you to upload any PDF or HTML page to ChapterPal in one click. The content is only available for you to read to avoid the possibility of copyright infringement. I hope you enjoy using it as much as I enjoy building it.

BURKOV

81,258 Aufrufe • vor 10 Monaten

Martin Casado explains AI as a fundamentally new abstraction layer of computing: "I don't think in the history of computer science that I can recall have we ever abdicated actual reasoning or logic. It's always been a resource. It's been like compute, network, and storage..." "And then the human is putting in the high-level thing, and it's using the compute, network, and storage to calculate the answer." "But now I feel like you're actually abdicating thinking in a way, where you're like, 'Tell me the answer.' Like, 'I'm not even really sure what the question is.'" "This is the first time it feels like a different layer of the stack. Maybe this really is the next abstraction, which is more of a human-level abstraction, which doesn't map directly and so is actually different... You kind of pray to the model god in the right words, and then it produces the answer that just ends up being useful." martin_casado

Martin Casado explains AI as a fundamentally new abstraction layer of computing: "I don't think in the history of computer science that I can recall have we ever abdicated actual reasoning or logic. It's always been a resource. It's been like compute, network, and storage..." "And then the human is putting in the high-level thing, and it's using the compute, network, and storage to calculate the answer." "But now I feel like you're actually abdicating thinking in a way, where you're like, 'Tell me the answer.' Like, 'I'm not even really sure what the question is.'" "This is the first time it feels like a different layer of the stack. Maybe this really is the next abstraction, which is more of a human-level abstraction, which doesn't map directly and so is actually different... You kind of pray to the model god in the right words, and then it produces the answer that just ends up being useful." martin_casado

a16z

36,147 Aufrufe • vor 1 Monat

Former Meta Chief AI Scientist Yann LeCun on the three paradigms of machine learning — and why the third is what made ChatGPT possible: Here's each one, and where it breaks. First, supervised learning. You tell the machine the answer. "You show it a picture, let's say of a table, and you tell it this is a table. So it's supervised because you tell it what the correct answer is." Get it wrong, and the machine rewrites itself: "The system computes its output, and if it says something else than table, then it's going to adjust its parameters, its internal structure, so that the output it produces gets closer to the output you want." Repeat at scale and something more than memorisation appears: "Eventually the system will find a way to recognize every image you trained it on, but also images it's never seen that are similar to the one you train it on. This is called a generalization ability." The limit: a human has to supply every single answer. That doesn't scale to the size of the internet. Second, reinforcement learning. You don't give the answer, only a verdict. "You don't tell the system what the correct answer is. You only tell it whether the answer it produced was good or bad." Learning to ride a bike, essentially: "You try to ride a bike and you don't know how to ride the bike and after a while you fall. So you know you did something bad and so you change your strategy a little bit. And eventually you learn how to ride a bike." For years the field assumed this was the closest thing to how animals actually learn. Yann LeCun's verdict: "Now it turns out reinforcement learning is extremely inefficient." It dominates wherever failure is free: "It works really well if you want to train a system to play chess or play go or poker, because you can have the system play millions and millions of games against itself and basically fine-tune itself. But it doesn't really work in the real world." The limit, in one image: "If you want to train a car to drive itself, you're not going to do it with reinforcement learning. It's going to crash thousands of times." On robotics he's careful rather than dismissive: "Reinforcement learning can be part of the solution, but it's not the complete answer. It's not sufficient." Third, self-supervised learning. You tell the machine nothing at all. "And this is what has enabled the recent progress in natural language understanding and chatbots." The strange part is that you stop asking for a task: "You don't train the system to accomplish any particular task. You just train it to basically capture the structure..." The method is deliberate sabotage: "You take a piece of text, you corrupt it in some way, by for example removing some words, and then you train a big neural net to predict the words that are missing." And one narrow version of that trick runs every chatbot on Earth: "A special case of this is that you take a piece of text and the last word in that text is not visible, and so you train the system to predict the last word in that text — and this is the way large language models are trained on." So why did the third one win? Supervised learning needs a human. Reinforcement learning needs a crash. Self-supervised learning needs neither — because the missing word and the correct answer are the same thing. The data grades itself.

Former Meta Chief AI Scientist Yann LeCun on the three paradigms of machine learning — and why the third is what made ChatGPT possible: Here's each one, and where it breaks. First, supervised learning. You tell the machine the answer. "You show it a picture, let's say of a table, and you tell it this is a table. So it's supervised because you tell it what the correct answer is." Get it wrong, and the machine rewrites itself: "The system computes its output, and if it says something else than table, then it's going to adjust its parameters, its internal structure, so that the output it produces gets closer to the output you want." Repeat at scale and something more than memorisation appears: "Eventually the system will find a way to recognize every image you trained it on, but also images it's never seen that are similar to the one you train it on. This is called a generalization ability." The limit: a human has to supply every single answer. That doesn't scale to the size of the internet. Second, reinforcement learning. You don't give the answer, only a verdict. "You don't tell the system what the correct answer is. You only tell it whether the answer it produced was good or bad." Learning to ride a bike, essentially: "You try to ride a bike and you don't know how to ride the bike and after a while you fall. So you know you did something bad and so you change your strategy a little bit. And eventually you learn how to ride a bike." For years the field assumed this was the closest thing to how animals actually learn. Yann LeCun's verdict: "Now it turns out reinforcement learning is extremely inefficient." It dominates wherever failure is free: "It works really well if you want to train a system to play chess or play go or poker, because you can have the system play millions and millions of games against itself and basically fine-tune itself. But it doesn't really work in the real world." The limit, in one image: "If you want to train a car to drive itself, you're not going to do it with reinforcement learning. It's going to crash thousands of times." On robotics he's careful rather than dismissive: "Reinforcement learning can be part of the solution, but it's not the complete answer. It's not sufficient." Third, self-supervised learning. You tell the machine nothing at all. "And this is what has enabled the recent progress in natural language understanding and chatbots." The strange part is that you stop asking for a task: "You don't train the system to accomplish any particular task. You just train it to basically capture the structure..." The method is deliberate sabotage: "You take a piece of text, you corrupt it in some way, by for example removing some words, and then you train a big neural net to predict the words that are missing." And one narrow version of that trick runs every chatbot on Earth: "A special case of this is that you take a piece of text and the last word in that text is not visible, and so you train the system to predict the last word in that text — and this is the way large language models are trained on." So why did the third one win? Supervised learning needs a human. Reinforcement learning needs a crash. Self-supervised learning needs neither — because the missing word and the correct answer are the same thing. The data grades itself.

Big Brain AI

49,293 Aufrufe • vor 1 Monat

Most people choose belonging over accuracy. The desire to fit in overpowers the desire for truth. "A lot of the time, people will tell you, “Don’t care what other people think about you,” but we all care what other people think—often for very good reason, which is that if people think well of you, it benefits you in life. It puts you in a good position; you are rewarded for it. It helps you accomplish things. It makes you safer. It just feels good. Belonging is a critical part of being human. However, especially in the modern world, the desire to belong can often run counter to the desire to understand or be accurate. If you have to choose between “I could believe this thing and be ostracized or criticized or outcast from my community” or “I could believe this other thing, which may not be that accurate, but it will get me praised and rewarded and accepted by my community,” a lot of the time, the desire to belong overpowers the desire to understand." James Clear on The Knowledge Project

Most people choose belonging over accuracy. The desire to fit in overpowers the desire for truth. "A lot of the time, people will tell you, “Don’t care what other people think about you,” but we all care what other people think—often for very good reason, which is that if people think well of you, it benefits you in life. It puts you in a good position; you are rewarded for it. It helps you accomplish things. It makes you safer. It just feels good. Belonging is a critical part of being human. However, especially in the modern world, the desire to belong can often run counter to the desire to understand or be accurate. If you have to choose between “I could believe this thing and be ostracized or criticized or outcast from my community” or “I could believe this other thing, which may not be that accurate, but it will get me praised and rewarded and accepted by my community,” a lot of the time, the desire to belong overpowers the desire to understand." James Clear on The Knowledge Project

Shane Parrish

63,966 Aufrufe • vor 9 Monaten

There is a bigger idea behind it, which is to build momentum around a standard for comments and suggested changes in Markdown For example, tables weren't originally a part of Markdown until Github introduced it. We can do the same with comments!! Learn more here

There is a bigger idea behind it, which is to build momentum around a standard for comments and suggested changes in Markdown For example, tables weren't originally a part of Markdown until Github introduced it. We can do the same with comments!! Learn more here

Nathan Baschez

10,771 Aufrufe • vor 4 Monaten

Chamath: Fraud at this scale will end the American Empire if nothing is done “It is a crucible moment for American society.” “If nothing happens and we deem this kind of theft acceptable, it is the beginning of the end of the American Empire.” “It's just a level of disrespect and lack of care for this country.” “I will be waiting and observing how important it is to root this out, that's number one.” “The second, which is more tactical political calculus, this is an enormous opportunity for the Republican Party if they take this and run with this.” “Is there waste, fraud and abuse in every state? Absolutely. I don't think this is endemically a Democratic problem, but the scale of it is so gargantuan in these Democratic states that if the Republicans don't take advantage of it, I think it is a huge political miscalculation.” “So there is this tactical opportunity, which I think if you want to have a chance in the midterms and if you generally wanna have a chance to level-set the country, you must take this and run with it.” “And then separately, if as Friedberg says, it does die on the vine, it is the beginning of the end of the American Empire, unfortunately.”

Chamath: Fraud at this scale will end the American Empire if nothing is done “It is a crucible moment for American society.” “If nothing happens and we deem this kind of theft acceptable, it is the beginning of the end of the American Empire.” “It's just a level of disrespect and lack of care for this country.” “I will be waiting and observing how important it is to root this out, that's number one.” “The second, which is more tactical political calculus, this is an enormous opportunity for the Republican Party if they take this and run with this.” “Is there waste, fraud and abuse in every state? Absolutely. I don't think this is endemically a Democratic problem, but the scale of it is so gargantuan in these Democratic states that if the Republicans don't take advantage of it, I think it is a huge political miscalculation.” “So there is this tactical opportunity, which I think if you want to have a chance in the midterms and if you generally wanna have a chance to level-set the country, you must take this and run with it.” “And then separately, if as Friedberg says, it does die on the vine, it is the beginning of the end of the American Empire, unfortunately.”

The All-In Podcast

10,556,517 Aufrufe • vor 9 Monaten

$BTC update 6th December 2025 These video updates are for educational purposes only and should never be considered as investment or trading advice. $BTC continues to trade in a period of risk with weakness in money flow data. The 93k level, which is the Y on the .382 on the internal SR continues to hold price. The highest probability is for a period of chop which will likely break to the downside into early 2026, which has been the long term forecast on this market and it would be reasonable to see the contract trade towards the .236 which is around 76k. There is a dominant cycle at work currently which needs to be satisfied and that will likely be in the level where demand far exceeds supply. $BTC could spike towards 97k but that would not repair the damage and it would likely fail and that would not change this forecast. As always, thanks to those who support the feed. I do not understand why this page is shadow banned (it has been for several weeks now).

$BTC update 6th December 2025 These video updates are for educational purposes only and should never be considered as investment or trading advice. $BTC continues to trade in a period of risk with weakness in money flow data. The 93k level, which is the Y on the .382 on the internal SR continues to hold price. The highest probability is for a period of chop which will likely break to the downside into early 2026, which has been the long term forecast on this market and it would be reasonable to see the contract trade towards the .236 which is around 76k. There is a dominant cycle at work currently which needs to be satisfied and that will likely be in the level where demand far exceeds supply. $BTC could spike towards 97k but that would not repair the damage and it would likely fail and that would not change this forecast. As always, thanks to those who support the feed. I do not understand why this page is shadow banned (it has been for several weeks now).

venture

33,761 Aufrufe • vor 10 Monaten

A lot of people are asking me what is a good way to start on the Supreme CBD - UK’s #1 CBD OIL oil and there is an exclusive offer on at the minute which is a strong start bundle 3000mg oil and 3200mg gummies for just £66 when you use the code Merson40 and click the exclusive link below. The oil is amazing for my anxiety and I know it is helping a lot of my followers too. If you have anxiety, insomnia, aches or pains give it a go #supremecbd #ad

A lot of people are asking me what is a good way to start on the Supreme CBD - UK’s #1 CBD OIL oil and there is an exclusive offer on at the minute which is a strong start bundle 3000mg oil and 3200mg gummies for just £66 when you use the code Merson40 and click the exclusive link below. The oil is amazing for my anxiety and I know it is helping a lot of my followers too. If you have anxiety, insomnia, aches or pains give it a go #supremecbd #ad

Paul Merson

123,195 Aufrufe • vor 11 Monaten

"Spike protein was designed as a bioweapon...this entire pandemic was to reduce life expectancy...the United Nations has been clear about its intentions to reduce the world's population. So they created a virus to create a need for a vaccine, both of which had this bioweapon."** Canadian physician Dr. Charles Hoffe describes during a recent World Council for Health (World Council for Health (WCH)) discussion how he believes that the now-infamous "spike protein" was designed as a bioweapon. Hoffe says that he believes both the COVID-19 "pandemic" and the injections released to—ostensibly—immunize people were both created with the intention of "reducing the world's population." "I think the most critical thing to understand is that spike protein was designed as a bioweapon. I mean, it's now fairly clear that this entire pandemic was to reduce life expectancy," Hoffe says. "The United Nations has been quite clear about its intentions to reduce the world's population, and so they created a virus to create a need for a vaccine, both of which had this bioweapon, which is the spike protein." Hoffe goes on to say: "For those that managed to resist being forced into having the shots or were not coerced into it through fear, they got the spike protein from COVID infections or from shedding. So basically, we have all been spiked. And, of course, those who got the shots became spike protein factories and they got more than anyone else, but we have all been poisoned. "So there are many people who didn't have the shots who are noticing changes in their health. And I think, as a family doctor, what I'm seeing the most is recurrent infections and mostly viral infections, but some people with recurrent bacterial infections as well. And this is, just as doctor Villa mentioned, from this assault on our immune system. And, of course, the cancers are part of that and the autoimmune problems are part of that. But I think the most critical thing is that we've all been spiked, and, therefore, we all need to take measures to deal with that." **While I agree the injections are bioweapons and the UN (and whoever else is in the global cabal) wants to depopulate Earth, I believe it is more likely the cause of COVID is a chemical weapon and not a virus.

"Spike protein was designed as a bioweapon...this entire pandemic was to reduce life expectancy...the United Nations has been clear about its intentions to reduce the world's population. So they created a virus to create a need for a vaccine, both of which had this bioweapon." Canadian physician Dr. Charles Hoffe describes during a recent World Council for Health (World Council for Health (WCH)) discussion how he believes that the now-infamous "spike protein" was designed as a bioweapon. Hoffe says that he believes both the COVID-19 "pandemic" and the injections released to—ostensibly—immunize people were both created with the intention of "reducing the world's population." "I think the most critical thing to understand is that spike protein was designed as a bioweapon. I mean, it's now fairly clear that this entire pandemic was to reduce life expectancy," Hoffe says. "The United Nations has been quite clear about its intentions to reduce the world's population, and so they created a virus to create a need for a vaccine, both of which had this bioweapon, which is the spike protein." Hoffe goes on to say: "For those that managed to resist being forced into having the shots or were not coerced into it through fear, they got the spike protein from COVID infections or from shedding. So basically, we have all been spiked. And, of course, those who got the shots became spike protein factories and they got more than anyone else, but we have all been poisoned. "So there are many people who didn't have the shots who are noticing changes in their health. And I think, as a family doctor, what I'm seeing the most is recurrent infections and mostly viral infections, but some people with recurrent bacterial infections as well. And this is, just as doctor Villa mentioned, from this assault on our immune system. And, of course, the cancers are part of that and the autoimmune problems are part of that. But I think the most critical thing is that we've all been spiked, and, therefore, we all need to take measures to deal with that." While I agree the injections are bioweapons and the UN (and whoever else is in the global cabal) wants to depopulate Earth, I believe it is more likely the cause of COVID is a chemical weapon and not a virus.

Sense Receptor

25,892 Aufrufe • vor 1 Jahr

Stephen C. Meyer says Darwin’s theory of evolution has, for many, become more like a religion than a scientific theory. “Darwinian evolution functions as a kind of secular religion.” “And you can see why, because it's answering one of the most fundamental questions that any worldview or religion has to answer.” “Which is what is the thing or the entity or the process from which everything else came?” “And the neo-Darwinian explanation of the origin of new forms of life is part of the answer to that really fundamental question, which is not only a scientific question but a philosophical worldview question.” “Because it functions like a secular religion, sometimes there's resistance to a more dispassionate scientific evaluation of its merits.” Stephen C. Meyer

Stephen C. Meyer says Darwin’s theory of evolution has, for many, become more like a religion than a scientific theory. “Darwinian evolution functions as a kind of secular religion.” “And you can see why, because it's answering one of the most fundamental questions that any worldview or religion has to answer.” “Which is what is the thing or the entity or the process from which everything else came?” “And the neo-Darwinian explanation of the origin of new forms of life is part of the answer to that really fundamental question, which is not only a scientific question but a philosophical worldview question.” “Because it functions like a secular religion, sometimes there's resistance to a more dispassionate scientific evaluation of its merits.” Stephen C. Meyer

Jan Jekielek

199,433 Aufrufe • vor 5 Monaten

VIDEO | Congress spokesperson Supriya Shrinate says, "There is no controversy over 'Vande Mataram'. There are two schools of thought on the song. One is the vision of Gurudev Rabindranath Tagore, which he laid before us...The other is the version of 'Vande Mataram' being pushed by Amit Shah... It is an easy choice: whether we follow Gurudev's vision or accept what Amit Shah is trying to impose. This was not an official or government function. It was a Congress event, and Congress is free to decide how many verses of the song to play and which ones to play. We made a choice based on Gurudev Rabindranath Tagore's vision, and that is what we are following..."

VIDEO | Congress spokesperson Supriya Shrinate says, "There is no controversy over 'Vande Mataram'. There are two schools of thought on the song. One is the vision of Gurudev Rabindranath Tagore, which he laid before us...The other is the version of 'Vande Mataram' being pushed by Amit Shah... It is an easy choice: whether we follow Gurudev's vision or accept what Amit Shah is trying to impose. This was not an official or government function. It was a Congress event, and Congress is free to decide how many verses of the song to play and which ones to play. We made a choice based on Gurudev Rabindranath Tagore's vision, and that is what we are following..."

Press Trust of India

229,203 Aufrufe • vor 1 Monat

The former Austrian Minister for Foreign Affairs and a professor at SPbSU, Karin Kneissl, raised a critical question regarding the strategic and ethical challenges of modern warfare: "On the modern warfare of drones, which have created such a horrible distance between, let me say, the perpetrator, I don't want to say the soldier, because it's not always a soldier, and the target. There is now a sort of technical, artificial distance, which is creating a new form of cruelty. And we don't anymore have any sort of code of honour between the parties.... How can we handle it? How can it be done or be finished?"

The former Austrian Minister for Foreign Affairs and a professor at SPbSU, Karin Kneissl, raised a critical question regarding the strategic and ethical challenges of modern warfare: "On the modern warfare of drones, which have created such a horrible distance between, let me say, the perpetrator, I don't want to say the soldier, because it's not always a soldier, and the target. There is now a sort of technical, artificial distance, which is creating a new form of cruelty. And we don't anymore have any sort of code of honour between the parties.... How can we handle it? How can it be done or be finished?"

Margarita Simonyan

42,273 Aufrufe • vor 4 Monaten

When Andrew Huberman asked about the root cause of aging, Dr. David Sinclair gave a surprisingly simple answer: "Aging is a loss of information in the same way you try to copy a cassette tape, or even if you send information across the internet, some of it will get lost." There are two types of information our bodies carry: "There is the genetic information, which is digital — A, T, C, G, the chemical letters of DNA. But there's this other part of the information in the body that's just as important, it's essential, in fact, and that's the systems that control which genes are switched on and off." And when it comes to which one matters more for how long and how well you live, the answer isn't even close: — David Sinclair

When Andrew Huberman asked about the root cause of aging, Dr. David Sinclair gave a surprisingly simple answer: "Aging is a loss of information in the same way you try to copy a cassette tape, or even if you send information across the internet, some of it will get lost." There are two types of information our bodies carry: "There is the genetic information, which is digital — A, T, C, G, the chemical letters of DNA. But there's this other part of the information in the body that's just as important, it's essential, in fact, and that's the systems that control which genes are switched on and off." And when it comes to which one matters more for how long and how well you live, the answer isn't even close: — David Sinclair

John Cumbers

305,874 Aufrufe • vor 6 Monaten

#WATCH | Delhi: EAM Dr S Jaishankar says, "Why is it that the students of international relations and diplomacy, study the world through completely Western constructs... On a planet which has so many cultures, to view all cultures through the lens of one culture is an injustice to the other cultures and to the culture which is viewing it... International relations have been so monocultural, that you actually have a widespread belief that many other societies do not have traditions of statecraft... This is a society which is, let us say, 5000 years old. How can you have 5000 years of human existence divided into states of various times that have come together and competed with each other and not have statecraft?... Lack of knowledge leads to very sweeping generalized theories... These are some of the challenges that we need to correct."

#WATCH | Delhi: EAM Dr S Jaishankar says, "Why is it that the students of international relations and diplomacy, study the world through completely Western constructs... On a planet which has so many cultures, to view all cultures through the lens of one culture is an injustice to the other cultures and to the culture which is viewing it... International relations have been so monocultural, that you actually have a widespread belief that many other societies do not have traditions of statecraft... This is a society which is, let us say, 5000 years old. How can you have 5000 years of human existence divided into states of various times that have come together and competed with each other and not have statecraft?... Lack of knowledge leads to very sweeping generalized theories... These are some of the challenges that we need to correct."

ANI

540,978 Aufrufe • vor 2 Jahren

CNN's Van Jones says he fears there will be a portion of America that will seek to lionize the #WHCD shooter in much the same way Luigi Mangione has.... "Well, I thought the President did well. I'm starting to worry about something, though, which is that the shooter survived, which means on Monday, he's going to court, which means there is a danger that people try to make him some sort of hero. You watch what happened with Luigi, who shot a CEO to death, and somehow became a hero. So, they said, tonight you saw the worst of America. You saw the best of America. Tonight, you definitely saw the best of America. I hope on Monday, we don't see the worst. Again, this I just want to say very clearly, this kind of despicable behavior has no place in America. It has no place on the right. It has no place on the left. We don't know if he was there because he wanted to hurt Democrats or Republicans. Both were there. We don't know if he wanted to hurt journalists or politicians. Both were there. This kind of behavior has no place in America, and it is -- it is wrong. Violence is not the way to resolve any grievances, and this cheerleader culture for violence, for people who think that the answer to our problems is to go shooting billionaires, or going to synagogues, or all these different things, has to be called out immediately. The minute it starts, every single person with a platform must denounce it, or we're going to see this again."

CNN's Van Jones says he fears there will be a portion of America that will seek to lionize the #WHCD shooter in much the same way Luigi Mangione has.... "Well, I thought the President did well. I'm starting to worry about something, though, which is that the shooter survived, which means on Monday, he's going to court, which means there is a danger that people try to make him some sort of hero. You watch what happened with Luigi, who shot a CEO to death, and somehow became a hero. So, they said, tonight you saw the worst of America. You saw the best of America. Tonight, you definitely saw the best of America. I hope on Monday, we don't see the worst. Again, this I just want to say very clearly, this kind of despicable behavior has no place in America. It has no place on the right. It has no place on the left. We don't know if he was there because he wanted to hurt Democrats or Republicans. Both were there. We don't know if he wanted to hurt journalists or politicians. Both were there. This kind of behavior has no place in America, and it is -- it is wrong. Violence is not the way to resolve any grievances, and this cheerleader culture for violence, for people who think that the answer to our problems is to go shooting billionaires, or going to synagogues, or all these different things, has to be called out immediately. The minute it starts, every single person with a platform must denounce it, or we're going to see this again."

Curtis Houck

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