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"Everyone's talking about continual learning. That's entirely where this space is going to go." The Applied Compute platform is architected around that premise: build memory and intuition from fragmented data across your entire org, train reasoning models directly on top of it, and close the loop. A model is... show more

Applied Compute

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codila

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Hermes Agent just got an update nobody is talking about. And it replaced all my paid tools. It is now free forever. It runs a local model called North Mini Code. You can build games like Skyrim or Matrix stuff fast. It is simple and runs on our Agent OS system. Get clear steps and real results today. Comment Agent OS to get the full free guide sent to you right now.

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Akshay 🚀

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quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask

quants don't predict markets. they stopped trying years ago retail is still asking "where is price going?" - quants switched to a different question entirely "given the current state, what's the probability distribution of outcomes" that's not a semantics game. it changes the math entirely stochastic processes model how a system evolves probabilistically - not picking a direction, mapping where each path leads and how likely it is ornstein-uhlenbeck does this for mean reversion: drift rate back to equilibrium, variance around that path same price data everybody has. different equation math is a century old, free in every applied probability textbook Bookmark and learn this before it gone you've been drawing trend lines while they ran probability distributions on same numbers it was never about data it was the question you were taught to ask

Livsun

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The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

The biggest marketplace on Earth won't be the assets humans own. It'll be the data AI needs. Everything that can be digitised is getting pulled in to train the next models. Every scientific dataset, every piece of research sitting in a university, every sensor reading off every John Deere tractor in a field. All of it feeds the machine, and almost none of it is visible to us. What comes out is an agentic economy running at machine speed. You plug your data into a vault, and agents monetise it on your behalf, trading with other agents in real time, in a marketplace we never see. The company sitting on proprietary data becomes part of it without even knowing. This is what the Economic Singularity actually looks like from the inside. The real economy stops being the one we can see and price, and moves somewhere we can't follow. You own a piece of it, or you get priced out of it. Jordi Visser.

Raoul Pal

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The Father of HBM, Kim Jung-ho says physical AI is really a memory problem, because a self-driving car can't react faster than its memory can recall what it learned, and the stakes are: it cannot be a second late on the brakes. "Physical AI is memory AI." "The car crashes as it drives, remembers it all, and learns from it." "What's harder is the learning and reasoning must be real-time. A self-driving car can't hit the brakes a second late." "So here not just capacity, but speed matters too. Memory's speed." "Future memory will lead the AI revolution, and there it's speed and capacity. Speed is bandwidth, capacity is stacking. That's how I see it." ______ More from his lecture here:

The Father of HBM, Kim Jung-ho says physical AI is really a memory problem, because a self-driving car can't react faster than its memory can recall what it learned, and the stakes are: it cannot be a second late on the brakes. "Physical AI is memory AI." "The car crashes as it drives, remembers it all, and learns from it." "What's harder is the learning and reasoning must be real-time. A self-driving car can't hit the brakes a second late." "So here not just capacity, but speed matters too. Memory's speed." "Future memory will lead the AI revolution, and there it's speed and capacity. Speed is bandwidth, capacity is stacking. That's how I see it." ______ More from his lecture here:

Fireside Alpha

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Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Did you know that Facebook made $134.9 billion in 2023 from selling your data? Our society has come to the point where we accepted an unfair model in which privacy is being exploited and data gifted to big tech that is selling it for billions. We intend to break the norm of how data is shared on the internet because it is outdated and unfair. You should be empowered with more control and monetization models for your data!

Solana ID 🪷

30,458 görüntüleme • 1 yıl önce

CoinDesk President Dave LaValle on the questions every investor should be asking about these staking ETPs "What's the charge associated with it, how is that impacting? What is the frequency of the distribution? How is it going to be distributed? Is it going to be cash? Is it going back into the fund? Is it reinvested?" "There's a lot of questions around this. By the way, it's fantastic, and incorporating staking into these ETPs is 100% in my opinion the right way to go about doing it" "But as an investor, you really have got to know how the firm is dealing with it"

CoinDesk President Dave LaValle on the questions every investor should be asking about these staking ETPs "What's the charge associated with it, how is that impacting? What is the frequency of the distribution? How is it going to be distributed? Is it going to be cash? Is it going back into the fund? Is it reinvested?" "There's a lot of questions around this. By the way, it's fantastic, and incorporating staking into these ETPs is 100% in my opinion the right way to go about doing it" "But as an investor, you really have got to know how the firm is dealing with it"

The Wolf Of All Streets

42,028 görüntüleme • 7 gün önce

$PLTR is one of the cleanest ways to play the AI cycle because it benefits from the entire infrastructure buildout without financing the data centers, chips, memory, power or networking underneath it. Palantir is also emerging as one of the biggest sovereign AI winners by building the control layer that determines what AI understands, which proprietary data it can access and what decisions or actions it can influence inside an organization. OpenAI and Anthropic create the intelligence while Palantir connects it to permissions, workflows and real operating systems where measurable economic value is produced.

$PLTR is one of the cleanest ways to play the AI cycle because it benefits from the entire infrastructure buildout without financing the data centers, chips, memory, power or networking underneath it. Palantir is also emerging as one of the biggest sovereign AI winners by building the control layer that determines what AI understands, which proprietary data it can access and what decisions or actions it can influence inside an organization. OpenAI and Anthropic create the intelligence while Palantir connects it to permissions, workflows and real operating systems where measurable economic value is produced.

Shay Boloor

200,100 görüntüleme • 16 gün önce

Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.

Enterprise AI deployments today are frozen in time. Model capabilities stagnate in production. The problem compounds because companies aren’t static either. Every time your company improves, the model falls further behind. The bottleneck is continual learning. How does a model do something once and improve from feedback? The future of enterprise AI is Specific Intelligence: custom models teams own, trained on a company’s choices, interaction by interaction, using internal knowledge general models cannot access. Applied Compute helps companies train, serve, own, and improve custom models. Thanks Apoorv Agrawal for having Yash Patil at MS&E 435 to talk about the future of model training.

Applied Compute

12,751 görüntüleme • 2 ay önce

People have this purist notion that kids should just be self-motivated to do well. For about 5% of them, that's true. But what about every other kid? Motivation is 90% of learning. Our guides figure out what motivates each kid and use it to get them to put in the work. Over time that builds a confidence anchor: the one win where a kid did something hard and hit their goal. Confidence in yourself might be the most valuable thing a kid can build. It changes your entire academic path. And yes, sometimes it starts with an Amazon cart.

People have this purist notion that kids should just be self-motivated to do well. For about 5% of them, that's true. But what about every other kid? Motivation is 90% of learning. Our guides figure out what motivates each kid and use it to get them to put in the work. Over time that builds a confidence anchor: the one win where a kid did something hard and hit their goal. Confidence in yourself might be the most valuable thing a kid can build. It changes your entire academic path. And yes, sometimes it starts with an Amazon cart.

MacKenzie Price

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Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by South Park Commons to share how companies are owning their intelligence with Applied Compute.

Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by South Park Commons to share how companies are owning their intelligence with Applied Compute.

Applied Compute

118,922 görüntüleme • 2 ay önce

I’m worried that the US government debt problem will get so bad that the US will “go broke” and I believe that there are steps we can take to prevent it. I am in the process of completing a comprehensive study about the mechanics of how countries go broke, where the US government is in its Big Debt Cycle, and what policymakers and investors should do about it. The study will be published later this year as a new book: How Countries Go Broke: Principles for Navigating the Big Debt Cycle, Where We Are Headed, and What We Should Do. As with my prior books, I am going to pass along parts of it for free as I am writing, and I'd like to discuss what it says with you and others on social media. You can read Part One here:

I’m worried that the US government debt problem will get so bad that the US will “go broke” and I believe that there are steps we can take to prevent it. I am in the process of completing a comprehensive study about the mechanics of how countries go broke, where the US government is in its Big Debt Cycle, and what policymakers and investors should do about it. The study will be published later this year as a new book: How Countries Go Broke: Principles for Navigating the Big Debt Cycle, Where We Are Headed, and What We Should Do. As with my prior books, I am going to pass along parts of it for free as I am writing, and I'd like to discuss what it says with you and others on social media. You can read Part One here:

Ray Dalio

286,264 görüntüleme • 1 yıl önce