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Dumb mutt getting trained to be even more needy Its learning to choose masters BBC over breathing #dumbmutt #ragdoll #cocksleeve #bbc #meathole #cnc #freeuse #throatslave #fucktoy #training

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DaddyIsUrMaster

4,090 subscribers

28,506 просмотров • 5 месяцев назад •via X (Twitter)

NSFW#dumbmutt#ragdoll#cocksleeve#bbc#meathole#cnc#freeuse#throatslave#fucktoy#training
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George Galloway on the BBC: "They say, 'If you don't pay the license fee, you go to jail.' Even Stalin didn't think of that one. Even North Korea doesn't fund its TV that way. If you don't pay the BBC, you will go to prison. How much more of a state broadcaster can you be than that?"

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The BBC has rightly apologised for the Trump edit in its Panorama programme. It’s right that our public service broadcaster should be scrutinised. But without it, our democracy would be even more vulnerable to the pernicious effects of disinformation.
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The BBC has rightly apologised for the Trump edit in its Panorama programme. It’s right that our public service broadcaster should be scrutinised. But without it, our democracy would be even more vulnerable to the pernicious effects of disinformation.

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U.S. Army Captain Ronan Sefton was charged with providing basic training to over 8,000 Ukrainian soldiers shortly after Russia launched its invasion in 2022. But almost immediately, he says, the Americans began learning from the Ukrainians. "The first really poignant lessons for us was: there needs to be more drones," he says.
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U.S. Army Captain Ronan Sefton was charged with providing basic training to over 8,000 Ukrainian soldiers shortly after Russia launched its invasion in 2022. But almost immediately, he says, the Americans began learning from the Ukrainians. "The first really poignant lessons for us was: there needs to be more drones," he says.

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🚨 BREAKING: In a massive development, Tom Homan confirms EVEN MORE ICE agents are being unleashed into airports today after getting hours of TSA training This will decrease wait times even more, much-needed! The left ASSURED us ICE were too reckless and dangerous to help in airports. The propaganda failed. HOMAN: "The lines are already decreased. They're not where they need to be, but the plan's in place. ICE agents need to be trained in certain aspects." "That training's ongoing. As a matter of fact, I think today, a lot more ICE agents are being released into those jobs because they spent the last few days doing that training!"
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🚨 BREAKING: In a massive development, Tom Homan confirms EVEN MORE ICE agents are being unleashed into airports today after getting hours of TSA training This will decrease wait times even more, much-needed! The left ASSURED us ICE were too reckless and dangerous to help in airports. The propaganda failed. HOMAN: "The lines are already decreased. They're not where they need to be, but the plan's in place. ICE agents need to be trained in certain aspects." "That training's ongoing. As a matter of fact, I think today, a lot more ICE agents are being released into those jobs because they spent the last few days doing that training!"

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55,189 просмотров • 4 месяцев назад

So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)
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So I heard we need more data for robot learning :) Purely real world teleop is expensive and slow, making large scale data collection challenging. I’ve been excited about getting more data into robot learning, going beyond just real-world teleop data. To this end, we’ve been scaling up data generation with RL in realistic simulations generated on the fly from crowdsourced videos. Enables realistic data collection, much more cheaply than purely real world teleop. Importantly, data collection becomes even*cheaper* with more environments, allowing training with over 100x more data. Transfers to real robots for generalizable manipulation. A 🧵 (1/N)

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Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and nic lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!
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Learn to train an LLM with distributed data while ensuring privacy using federated learning in a new two-part short course, Intro to Federated Learning and Federated Fine-tuning of LLMs with Private Data, created with Flower and taught by Daniel J. Beutel and nic lane. Federated learning allows a single model to be trained across multiple devices, such as phones, or multiple organizations, such as hospitals, without the need to share data to a central server. This two-part course gives you an introduction to federated learning, and then teaches you how to fine-tune your large language model with distributed data using Flower Lab’s open source federated learning framework. You’ll learn: - How to use federated learning to train a variety of models, ranging from speech and vision models to LLMs, across distributed data while offering data privacy options to users and organizations. - Privacy Enhancing Technologies like differential privacy (DP), which obscures individual data by adding calibrated noise to query results. - Two variants of differential privacy - Central and Local - and how to choose depending on your use case. - How to measure and decrease bandwidth usage to make federated learning more practical and efficient with techniques like using pre-trained models and Parameter-Efficient Fine-Tuning - How federated LLM fine-tuning reduces the risk of leaking training data. Sign up here!

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🌟Quilibrium’s AI Breakthrough: Encrypted Training on CPUs In her latest live stream ( - minute 14) Cassie unveiled a groundbreaking AI training method that allows models to be trained on encrypted data using CPUs while achieving performance comparable to Nvidia’s A100 GPU (blue line in the graph below). Traditionally, AI training requires expensive GPUs because matrix multiplications—the core of deep learning—are highly computational. Running these calculations on CPUs is painfully slow, often taking hours or days for even small models. The problem worsens when trying to train AI on encrypted data, as standard encryption methods add a massive computational burden. Quilibrium’s breakthrough removes this bottleneck. Instead of relying on traditional matrix multiplication, their method uses a completely different mathematical approach, allowing AI models to be trained securely and efficiently without exposing the raw data. Cassie didn’t reveal the exact technique, only hinting that it’s inspired by existing AI research and will be detailed in a future open-source AGPL-licensed paper. The key advantage? AI can now be trained at GPU speeds on standard CPUs, making privacy-preserving machine learning far more accessible. This innovation has major implications. It slashes AI infrastructure costs, allowing organizations to train powerful models without investing in expensive hardware. It also enables private AI training on personal or corporate data without revealing sensitive information, a game-changer for industries like healthcare and finance. If Quilibrium’s method delivers on its promise, it could reshape AI development, making privacy-first computing the new standard. $QUIL $wQUIL
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🌟Quilibrium’s AI Breakthrough: Encrypted Training on CPUs In her latest live stream ( - minute 14) Cassie unveiled a groundbreaking AI training method that allows models to be trained on encrypted data using CPUs while achieving performance comparable to Nvidia’s A100 GPU (blue line in the graph below). Traditionally, AI training requires expensive GPUs because matrix multiplications—the core of deep learning—are highly computational. Running these calculations on CPUs is painfully slow, often taking hours or days for even small models. The problem worsens when trying to train AI on encrypted data, as standard encryption methods add a massive computational burden. Quilibrium’s breakthrough removes this bottleneck. Instead of relying on traditional matrix multiplication, their method uses a completely different mathematical approach, allowing AI models to be trained securely and efficiently without exposing the raw data. Cassie didn’t reveal the exact technique, only hinting that it’s inspired by existing AI research and will be detailed in a future open-source AGPL-licensed paper. The key advantage? AI can now be trained at GPU speeds on standard CPUs, making privacy-preserving machine learning far more accessible. This innovation has major implications. It slashes AI infrastructure costs, allowing organizations to train powerful models without investing in expensive hardware. It also enables private AI training on personal or corporate data without revealing sensitive information, a game-changer for industries like healthcare and finance. If Quilibrium’s method delivers on its promise, it could reshape AI development, making privacy-first computing the new standard. $QUIL $wQUIL

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What on earth have I just listened to? 🤦‍♂️ BBC Breakfast actually took Yvette Cooper to task this morning over the government’s plan for nearly 200 walk-in mental health centres and dedicated mental health A&Es by 2029, in banks, libraries and hospitals… but with no extra staff. Her response perfectly sums up this clueless Labour government. BBC: “So you’d understand then that people might question how much progress could be made given there’ll be no extra recruitment even though there are going to be so many more facilities. That doesn’t seem to make sense?” Cooper: “Getting people to work differently means you can work better.” What?? What does that even mean? It’s a completely meaningless statement. No wonder people are cracking up listening to this lot every day. She also said mental health funding is rising to an astonishing £16 billion this year, yet we seem to have more mental health problems than ever. So what on earth is going on? Time for a rethink!
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What on earth have I just listened to? 🤦‍♂️ BBC Breakfast actually took Yvette Cooper to task this morning over the government’s plan for nearly 200 walk-in mental health centres and dedicated mental health A&Es by 2029, in banks, libraries and hospitals… but with no extra staff. Her response perfectly sums up this clueless Labour government. BBC: “So you’d understand then that people might question how much progress could be made given there’ll be no extra recruitment even though there are going to be so many more facilities. That doesn’t seem to make sense?” Cooper: “Getting people to work differently means you can work better.” What?? What does that even mean? It’s a completely meaningless statement. No wonder people are cracking up listening to this lot every day. She also said mental health funding is rising to an astonishing £16 billion this year, yet we seem to have more mental health problems than ever. So what on earth is going on? Time for a rethink!

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500,894 просмотров • 1 день назад

Ladies and Gentleman, 9 Gs. Hungarian fighter pilot Major László Szatmári earned recognition during one of the hardest tests in modern aviation. He held 9 Gs for over 30 seconds while qualifying to fly the JAS 39 Gripen. At 9 Gs, your body weighs nine times more than normal. Your vision fades. Breathing turns into a struggle. Even trained pilots lose consciousness within seconds. Szatmári stayed conscious throughout the run. He kept full control of the aircraft. He passed with one of the strongest performances ever recorded in Gripen training.
0:57

Ladies and Gentleman, 9 Gs. Hungarian fighter pilot Major László Szatmári earned recognition during one of the hardest tests in modern aviation. He held 9 Gs for over 30 seconds while qualifying to fly the JAS 39 Gripen. At 9 Gs, your body weighs nine times more than normal. Your vision fades. Breathing turns into a struggle. Even trained pilots lose consciousness within seconds. Szatmári stayed conscious throughout the run. He kept full control of the aircraft. He passed with one of the strongest performances ever recorded in Gripen training.

Brian Roemmele

485,018 просмотров • 7 месяцев назад

Indeed, 87% of BBC Arabic employees appear to be either proud members or loud glorifiers of the Muslim Brotherhood, the same network that fuels Islamist terrorism from Gaza to Sudan. While Britain struggles with its own crises, the BBC seems too busy speaking for Hamas terrorists in Gaza and amplifying the genocidal propaganda of the Muslim Brotherhood led army (SAF) in Sudan. A leaked internal memo by Michael Prescott, former advisor to the BBC’s own Editorial Guidelines Committee, exposed how BBC Arabic "minimised Israeli suffering" and "painted Israel as the aggressor." It also gave unjustifiable weight to death toll figures from the Hamas run Gaza Health Ministry and rushed anti-Israel claims to air without proper verification. Recently, the BBC was sanctioned by Ofcom, the UK regulator, over its documentary "Gaza: How to Survive a Warzone." Why? Because it failed to disclose that the film’s narrator was the son of a senior Hamas official, a man who reportedly took part in the 7 October massacre of Israeli women and children. And yet, the BBC continues hiring Muslim Brotherhood propagandists and even members of Sudan’s Islamist army, dressing them up as "experts." Maybe now, BBC stands for Brotherhood Broadcasting Corporation.
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Indeed, 87% of BBC Arabic employees appear to be either proud members or loud glorifiers of the Muslim Brotherhood, the same network that fuels Islamist terrorism from Gaza to Sudan. While Britain struggles with its own crises, the BBC seems too busy speaking for Hamas terrorists in Gaza and amplifying the genocidal propaganda of the Muslim Brotherhood led army (SAF) in Sudan. A leaked internal memo by Michael Prescott, former advisor to the BBC’s own Editorial Guidelines Committee, exposed how BBC Arabic "minimised Israeli suffering" and "painted Israel as the aggressor." It also gave unjustifiable weight to death toll figures from the Hamas run Gaza Health Ministry and rushed anti-Israel claims to air without proper verification. Recently, the BBC was sanctioned by Ofcom, the UK regulator, over its documentary "Gaza: How to Survive a Warzone." Why? Because it failed to disclose that the film’s narrator was the son of a senior Hamas official, a man who reportedly took part in the 7 October massacre of Israeli women and children. And yet, the BBC continues hiring Muslim Brotherhood propagandists and even members of Sudan’s Islamist army, dressing them up as "experts." Maybe now, BBC stands for Brotherhood Broadcasting Corporation.

Amjad Taha أمجد طه

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“Why are some people so angry that don’t even know me" 1. You’re literally a criminal 2. You sold illegal porn as a teenager 3. You laugh off the topic of asylum seekers on live TV 4. You’re clearly xenophobic 5. You have mocked gay people 6. You’re a loud and proud MAGA supporter 7. You joke about murdering children?? 8. Your entire online persona of being a patriotic working class bosh man is fake and fuelled by fake tweets generated by ChatGPT lol 9. You have a string of deleted tweets which are full on rage-baiting ‘lefties’ despite the fact you claim not to be right wing… and all of this is just off of a single 5 minute google search 10. And just some more misogynistic tweets and TikTok comments over the years The BBC should be ashamed and rethinking their decision to cast you BBC Press Office BBC Strictly ✨ BBC One BBC #Strictly
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“Why are some people so angry that don’t even know me" 1. You’re literally a criminal 2. You sold illegal porn as a teenager 3. You laugh off the topic of asylum seekers on live TV 4. You’re clearly xenophobic 5. You have mocked gay people 6. You’re a loud and proud MAGA supporter 7. You joke about murdering children?? 8. Your entire online persona of being a patriotic working class bosh man is fake and fuelled by fake tweets generated by ChatGPT lol 9. You have a string of deleted tweets which are full on rage-baiting ‘lefties’ despite the fact you claim not to be right wing… and all of this is just off of a single 5 minute google search 10. And just some more misogynistic tweets and TikTok comments over the years The BBC should be ashamed and rethinking their decision to cast you BBC Press Office BBC Strictly ✨ BBC One BBC #Strictly

sᴜᴘᴇʀ ᴛᴠ

67,547 просмотров • 11 месяцев назад

"Getting gardening into the curriculum is paramount to the success of our industry" Its taken me 10 years to get to this point and over the next 10 years I will be working hard alongside School Gardening Success Success to bring gardening education to the curriculum Teachers need support, time and funding to get our primary school children outside and learning, to give our next generation better mental well-being, a healthy lifestyle and more young people to our industry This is the only way we can secure the future of the gardening and horticulture industry, and its time for the government to make this happen I will not stop for a gardening curriculum in the future! #GrowAtSchool Watch the full evidence being given at the House of Lord here
1:00

"Getting gardening into the curriculum is paramount to the success of our industry" Its taken me 10 years to get to this point and over the next 10 years I will be working hard alongside School Gardening Success Success to bring gardening education to the curriculum Teachers need support, time and funding to get our primary school children outside and learning, to give our next generation better mental well-being, a healthy lifestyle and more young people to our industry This is the only way we can secure the future of the gardening and horticulture industry, and its time for the government to make this happen I will not stop for a gardening curriculum in the future! #GrowAtSchool Watch the full evidence being given at the House of Lord here

Children's Gardening Coach

64,087 просмотров • 3 лет назад

It’s been a rough few years. But this year I got hyper focused back in the gym and finally feel like my silly little self again. All ready to take on the next adventure. After many months of back and forth I’m set on getting my first motorcycle. (To learn on) I’m always hyper fixated on some skill and I choose you, Pikachu! (Well, maybe you chose me) Thankfully, it’s more practical once ya get past the learning curve. 😹 (unlike the puppet and ventriloquism era, but that’s fun to bust out at parties) I can start to actually share my misadventures with you guys again too. As someone just learning and already prone to chaos, there will be a few. I know I’ve been distant the last year. I’m sorry Its been tough, But we are back. Onward to new adventures! 😚🏍️💨 Join my now active OF or Playboy page to be a part of the fun ;) #motorcycle #fitness #adhd
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It’s been a rough few years. But this year I got hyper focused back in the gym and finally feel like my silly little self again. All ready to take on the next adventure. After many months of back and forth I’m set on getting my first motorcycle. (To learn on) I’m always hyper fixated on some skill and I choose you, Pikachu! (Well, maybe you chose me) Thankfully, it’s more practical once ya get past the learning curve. 😹 (unlike the puppet and ventriloquism era, but that’s fun to bust out at parties) I can start to actually share my misadventures with you guys again too. As someone just learning and already prone to chaos, there will be a few. I know I’ve been distant the last year. I’m sorry Its been tough, But we are back. Onward to new adventures! 😚🏍️💨 Join my now active OF or Playboy page to be a part of the fun ;) #motorcycle #fitness #adhd

Liz Katz

268,566 просмотров • 2 лет назад

People often say that we need immigration because without it, the NHS would collapse. This just is not true. At the moment, we're not training enough medics in this country - but this is a choice. We do not need to rely on staff from overseas. The NHS has a deeply unusual setup when it comes to its workforce. The Government sets the rules for who can qualify as a medical professional, decides how many medical training places to offer, and controls the flow of medical graduates into the NHS. It decides how much to charge students, and under what conditions. And because the NHS is by far the country's main employer of medical professionals, the Government also has effective control over the pay and conditions of those who qualify, and is responsible for deciding where medical trainees go, and when. So the Health Service isn't subject to the same labour market forces as other organisations. The Government controls both the supply *and* the demand of its own workforce. In 2025, we had 15,723 British-trained doctors competing for 12,833 NHS training posts. Those British-trained doctors had already been whittled down from the thousands of people who apply to train as doctors every year, of whom only half are accepted. Hundreds of those rejected each year have three A* grades at A Level. The reason that we don't offer more medical degrees is because, at the moment, the NHS doesn't have enough training places for British-trained doctors. But at the same time, under the current system, British-trained doctors aren't given priority when it comes to the training places that we *do* have. So not only were those 15,723 British-trained doctors competing with each other for just 12,833 training places, they were also competing with 25,257 doctors trained overseas. This is rubbish for those British doctors, and a colossal waste of money for the rest of us, because it costs taxpayers about a quarter of a million pounds to educate each doctor to the point of graduating. But perhaps this means the NHS gets the very best doctors? No. In fact, doctors trained overseas are 2.5 times more likely to be referred to the GMC, the regulator responsible for maintaining standards in the medical profession. The GMC hears cases relating to professional misconduct and medical malpractice. Exchanging British-trained doctors for those trained overseas is not always a like-for-like swap. But here’s the craziest twist of all. The training places we do have are *randomly allocated*. No priority for British doctors, despite the fact we’ve paid to teach them. And no priority for the best graduates, despite the fact we need their skills. Top performing students have no choice over where they go, and aren't given priority when allocating new training places. They often have to wait months to find out where they're being posted, and will often receive very little notice before being asked to pick up sticks and relocate to another part of the country. Last summer, one of my constituents qualified as a doctor. He graduated with one of the very highest marks in the year, in the top three, from one of the most competitive medical schools in the country. He is clearly an outstanding student and will make an incredible doctor. In any sane system he would have been placed immediately, and been able to choose his location and specialism to keep him incentivised and happy within the NHS, and to make the most of his obviously considerable talents. Instead, because of the mismanagement of places and the lottery system, he wasn’t placed in the first round of allocations. He wasn’t placed in the second round. He wasn’t even placed in the third round, or even the fourth. With less than four weeks to go he still had no placement and no sense of where he would be spending the next few years of his life, including whether he might be able to live close to his partner, another doctor qualifying at the same time as him. He might not have got a training placement at all. Fortunately, the Government is looking to change the system, so that British-trained doctors are prioritised for training places. This is a great change. We need to train more medical professionals in this country, including doctors. The Health Service does not need to rely on overseas doctors - there is plenty of talent right here. But we also need a system which prizes excellence, and provides clarity for medical trainees. The most talented, British-trained graduate doctors should clearly get top priority, and should be able to operate within a system that makes it possible to plan their lives and build a career here. Both medical trainees and patients would benefit from such a system. The alternative is more talented British doctors going abroad, and more reliance on migration.
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People often say that we need immigration because without it, the NHS would collapse. This just is not true. At the moment, we're not training enough medics in this country - but this is a choice. We do not need to rely on staff from overseas. The NHS has a deeply unusual setup when it comes to its workforce. The Government sets the rules for who can qualify as a medical professional, decides how many medical training places to offer, and controls the flow of medical graduates into the NHS. It decides how much to charge students, and under what conditions. And because the NHS is by far the country's main employer of medical professionals, the Government also has effective control over the pay and conditions of those who qualify, and is responsible for deciding where medical trainees go, and when. So the Health Service isn't subject to the same labour market forces as other organisations. The Government controls both the supply *and* the demand of its own workforce. In 2025, we had 15,723 British-trained doctors competing for 12,833 NHS training posts. Those British-trained doctors had already been whittled down from the thousands of people who apply to train as doctors every year, of whom only half are accepted. Hundreds of those rejected each year have three A* grades at A Level. The reason that we don't offer more medical degrees is because, at the moment, the NHS doesn't have enough training places for British-trained doctors. But at the same time, under the current system, British-trained doctors aren't given priority when it comes to the training places that we *do* have. So not only were those 15,723 British-trained doctors competing with each other for just 12,833 training places, they were also competing with 25,257 doctors trained overseas. This is rubbish for those British doctors, and a colossal waste of money for the rest of us, because it costs taxpayers about a quarter of a million pounds to educate each doctor to the point of graduating. But perhaps this means the NHS gets the very best doctors? No. In fact, doctors trained overseas are 2.5 times more likely to be referred to the GMC, the regulator responsible for maintaining standards in the medical profession. The GMC hears cases relating to professional misconduct and medical malpractice. Exchanging British-trained doctors for those trained overseas is not always a like-for-like swap. But here’s the craziest twist of all. The training places we do have are *randomly allocated*. No priority for British doctors, despite the fact we’ve paid to teach them. And no priority for the best graduates, despite the fact we need their skills. Top performing students have no choice over where they go, and aren't given priority when allocating new training places. They often have to wait months to find out where they're being posted, and will often receive very little notice before being asked to pick up sticks and relocate to another part of the country. Last summer, one of my constituents qualified as a doctor. He graduated with one of the very highest marks in the year, in the top three, from one of the most competitive medical schools in the country. He is clearly an outstanding student and will make an incredible doctor. In any sane system he would have been placed immediately, and been able to choose his location and specialism to keep him incentivised and happy within the NHS, and to make the most of his obviously considerable talents. Instead, because of the mismanagement of places and the lottery system, he wasn’t placed in the first round of allocations. He wasn’t placed in the second round. He wasn’t even placed in the third round, or even the fourth. With less than four weeks to go he still had no placement and no sense of where he would be spending the next few years of his life, including whether he might be able to live close to his partner, another doctor qualifying at the same time as him. He might not have got a training placement at all. Fortunately, the Government is looking to change the system, so that British-trained doctors are prioritised for training places. This is a great change. We need to train more medical professionals in this country, including doctors. The Health Service does not need to rely on overseas doctors - there is plenty of talent right here. But we also need a system which prizes excellence, and provides clarity for medical trainees. The most talented, British-trained graduate doctors should clearly get top priority, and should be able to operate within a system that makes it possible to plan their lives and build a career here. Both medical trainees and patients would benefit from such a system. The alternative is more talented British doctors going abroad, and more reliance on migration.

Katie Lam

187,108 просмотров • 6 месяцев назад

If you are a new user getting into prediction markets, "sizing" is one of the last things you should be worried about. Instead, just start extremely small and first see if you are even able to be profitable over a couple weeks. Things like "Kelly Criterion" operate under the assumption that you can accurately give a fair value of something - which you likely can't in the beginning (and maybe never will). I still make mistakes/misclicks where I delete $1k or $2k in an instant - you will likely make even more mistakes as a new user so its much better for this to be $1 or $5. Once you have proven to yourself that you can consistently be profitable and built a small bankroll, then you can start to worry or think more strategically about sizing etc.
1:59

If you are a new user getting into prediction markets, "sizing" is one of the last things you should be worried about. Instead, just start extremely small and first see if you are even able to be profitable over a couple weeks. Things like "Kelly Criterion" operate under the assumption that you can accurately give a fair value of something - which you likely can't in the beginning (and maybe never will). I still make mistakes/misclicks where I delete $1k or $2k in an instant - you will likely make even more mistakes as a new user so its much better for this to be $1 or $5. Once you have proven to yourself that you can consistently be profitable and built a small bankroll, then you can start to worry or think more strategically about sizing etc.

PredictionMarketTrader

14,913 просмотров • 6 месяцев назад

🚨🇦🇹 Meanwhile in Austria Devastating flooding across Eastern Europe with Austria experiencing the worst floods in its history. Clip below from Ladek-Zdroj yesterday. Flooding is getting worse rapidly across Europe - Climate Change will be blamed. Reality is this is deliberate Climate Engineering & if it’s not - ask why they don’t prevent it from happening? Even BBC admitted last Week China are literally fire weather modification missiles to disperse clouds - don’t believe me? Go do your own research.
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🚨🇦🇹 Meanwhile in Austria Devastating flooding across Eastern Europe with Austria experiencing the worst floods in its history. Clip below from Ladek-Zdroj yesterday. Flooding is getting worse rapidly across Europe - Climate Change will be blamed. Reality is this is deliberate Climate Engineering & if it’s not - ask why they don’t prevent it from happening? Even BBC admitted last Week China are literally fire weather modification missiles to disperse clouds - don’t believe me? Go do your own research.

Concerned Citizen

131,997 просмотров • 1 год назад

🚨DAVID SACKS: "We knew that the US Government runs a $2T deficit every year, we're in debt almost $40T, and every time someone tries to cut something in Washington the whole city screams bloody murder. The question is why? Now we know -- everyone was getting paid! New York Times? Getting paid ✅ Politico? Getting paid ✅ Bill Kristol? Getting paid ✅ Ukraine? Getting paid ✅ Viktor Orbán's political opposition? Getting paid ✅ Left wing political opposition in Poland? Getting paid ✅ BBC? Getting paid ✅ Every left wing organization int he world seems to be getting paid by this slush fund at USAID which disburses about $50B a year, which is about $1B a week. That's a lot of money. The left tries to portray itself as a movement of the people, and that its grassroots. This is the exact opposite, this is astroturfed. This is money coming from the top down out of Washington to fund all these groups that are not even in the United States. It makes you wonder, what is the real level of support for all these left wing policies all over the world?" Source: David Sacks The All-In Podcast
1:33

🚨DAVID SACKS: "We knew that the US Government runs a $2T deficit every year, we're in debt almost $40T, and every time someone tries to cut something in Washington the whole city screams bloody murder. The question is why? Now we know -- everyone was getting paid! New York Times? Getting paid ✅ Politico? Getting paid ✅ Bill Kristol? Getting paid ✅ Ukraine? Getting paid ✅ Viktor Orbán's political opposition? Getting paid ✅ Left wing political opposition in Poland? Getting paid ✅ BBC? Getting paid ✅ Every left wing organization int he world seems to be getting paid by this slush fund at USAID which disburses about $50B a year, which is about $1B a week. That's a lot of money. The left tries to portray itself as a movement of the people, and that its grassroots. This is the exact opposite, this is astroturfed. This is money coming from the top down out of Washington to fund all these groups that are not even in the United States. It makes you wonder, what is the real level of support for all these left wing policies all over the world?" Source: David Sacks The All-In Podcast

Autism Capital 🧩

4,310,263 просмотров • 1 год назад

In a world of PPO everything for reinforcement learning, I've been tinkering with SAC for training a quadruped gait. This gait is trained purely on CPU (training on one of the Dell GB10s) on a single environment. Training any particular run is obviously slower than PPO on an RTX Pro 6000 with 8092 envs, if you already know the exact hyperparams/rwd function for your PPO algo... but, if we're honest with ourselves, then we know we usually spend days tuning our PPO algo and fighting it to do what we want. In contrast, SAC has kind of been a breath of fresh air, very amenable to changing the reward function to tune behavior. So far, my first attempts to tune things have consistently just worked immediately rather than 15 different variations of reward hacking only to find previous tuned behaviors got lost in the process. There is also FastSAC, which I've not yet tried, but can speed things up potentially and introduce scale back into the equation. My main painpoint in getting SAC to work for gait was actually getting it to learn to step. It seems as though SAC is not as good as PPO at significant exploration on its own. I ended up starting with a sinusoidal gait (basically just a rule to make legs swing) as training wheels then blended it out through training as phase 1, then began working on smoothing things out after this. I think if we look at end to end dev time rather than any particular run that finally managed to work, SAC may actually be the "faster" algorithm to train. Quadruped gaits are inherently easier than bipedal and maybe there are areas where SAC falls short, but I'll definitely be spending more time with SAC.
1:02

In a world of PPO everything for reinforcement learning, I've been tinkering with SAC for training a quadruped gait. This gait is trained purely on CPU (training on one of the Dell GB10s) on a single environment. Training any particular run is obviously slower than PPO on an RTX Pro 6000 with 8092 envs, if you already know the exact hyperparams/rwd function for your PPO algo... but, if we're honest with ourselves, then we know we usually spend days tuning our PPO algo and fighting it to do what we want. In contrast, SAC has kind of been a breath of fresh air, very amenable to changing the reward function to tune behavior. So far, my first attempts to tune things have consistently just worked immediately rather than 15 different variations of reward hacking only to find previous tuned behaviors got lost in the process. There is also FastSAC, which I've not yet tried, but can speed things up potentially and introduce scale back into the equation. My main painpoint in getting SAC to work for gait was actually getting it to learn to step. It seems as though SAC is not as good as PPO at significant exploration on its own. I ended up starting with a sinusoidal gait (basically just a rule to make legs swing) as training wheels then blended it out through training as phase 1, then began working on smoothing things out after this. I think if we look at end to end dev time rather than any particular run that finally managed to work, SAC may actually be the "faster" algorithm to train. Quadruped gaits are inherently easier than bipedal and maybe there are areas where SAC falls short, but I'll definitely be spending more time with SAC.

Harrison Kinsley

26,758 просмотров • 5 месяцев назад

This teacher-turned-cognitive scientist shared a disturbing reality that left the room stunned. “Our kids are LESS cognitively capable than we were at their age.” Every previous generation outperformed its parents since we began recording in the late 1800s. So, what happened? Screens. Dr. Jared Horvath explained: “Gen Z is the first generation in modern history to underperform us on basically every cognitive measure we have, from basic attention to memory, to literacy, to numeracy, to executive functioning, to EVEN GENERAL IQ, even though they go to more school than we did.” “So why? … The answer appears to be the tools we are using within schools to drive that learning (screens).” “If you look at the data, once countries adopt digital technology widely in schools, performance goes down significantly, to the point where kids who use computers about five hours per day in school for learning purposes will score over two-thirds of a standard deviation LESS than kids who rarely or never touch tech at school. And that’s across 80 countries.” But screens aren’t just decimating learning and making new generations less intelligent than the ones before them. They’re doing something far worse. And when you take a closer look, it isn’t pretty. 🧵
1:31

This teacher-turned-cognitive scientist shared a disturbing reality that left the room stunned. “Our kids are LESS cognitively capable than we were at their age.” Every previous generation outperformed its parents since we began recording in the late 1800s. So, what happened? Screens. Dr. Jared Horvath explained: “Gen Z is the first generation in modern history to underperform us on basically every cognitive measure we have, from basic attention to memory, to literacy, to numeracy, to executive functioning, to EVEN GENERAL IQ, even though they go to more school than we did.” “So why? … The answer appears to be the tools we are using within schools to drive that learning (screens).” “If you look at the data, once countries adopt digital technology widely in schools, performance goes down significantly, to the point where kids who use computers about five hours per day in school for learning purposes will score over two-thirds of a standard deviation LESS than kids who rarely or never touch tech at school. And that’s across 80 countries.” But screens aren’t just decimating learning and making new generations less intelligent than the ones before them. They’re doing something far worse. And when you take a closer look, it isn’t pretty. 🧵

The Vigilant Fox 🦊

1,475,295 просмотров • 6 месяцев назад