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Today we are announcing Silvia has officially eclipsed all major frontier models in tax-related topics. Our big bet on specialized workflows & proprietary data is proving to be more valuable than general intelligence. The Silvia misfits are going to shock the world. $BRR

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Anthony Pompliano 🌪

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101,484 görüntüleme • 19 gün önce •via X (Twitter)

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Specialized AI models will outperform general purpose models long-term. That's the big bet our team is making with Silvia, the super-intelligent financial AI product we are personally using and building every day. Anthony Pompliano 🌪 explains why works.
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We released our Q2 earnings report for $BRR today. Here is a 12 minute update on the business, our strategy, and why I believe Silvia is going to become a big business.
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These are the kind of topics and guests we all need. We are tired of umjolo topics. We need to be more informative about what is going on around the world. We can grow daily✌️
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😳 What are we going to do when all of our Teachers are gone? If we don’t make Major Changes, the US is going to be in BIG TROUBLE! 🤔
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Meet Silvia, our first lifelike model in the metaverse. She is not a real person, she is not AI-generated. Our dev team has modelled and animated Silvia, and ALL of the models in our product are now going to be of this quality, since upgrading to UE 5.3! Stay tuned for next week, as we will be sharing a video of a scanned model of our founder Finance | Crypto | Motivation and his sexual experience with Silvia, as a demonstration of what the $ADULT Playground will provide each of its users.
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Meet Silvia, our first lifelike model in the metaverse. She is not a real person, she is not AI-generated. Our dev team has modelled and animated Silvia, and ALL of the models in our product are now going to be of this quality, since upgrading to UE 5.3! Stay tuned for next week, as we will be sharing a video of a scanned model of our founder Finance | Crypto | Motivation and his sexual experience with Silvia, as a demonstration of what the $ADULT Playground will provide each of its users.

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Today we are announcing Corma, and our $60M seed round led by Sequoia Capital. Corma is building foundation models toward superintelligence for defensive cybersecurity. We do that because general AI is becoming exponentially more capable in offensive security, while it hasn't been able to improve at the same rate in cyber defense - creating an inherent imbalance between attackers and defenders that otherwise cannot be addressed. Recent events have shown that building frontier AI models for defensive cybersecurity is one of the crucial unsolved problems of the AI age - and solving it is the generational mission Corma was founded on. Our foundation model has already far surpassed every general-purpose frontier model on defensive cybersecurity tasks, and we are committed to remaining the frontier of defensive cybersecurity intelligence. Corma is already protecting Fortune 100 companies and some of the world's most important organizations, across healthcare, finance, critical infrastructure, retail, and more. This is just the beginning, as we see it as our calling to protect every organization in the world that needs frontier defense. We are grateful to our partners Shaun Maguire and Sonya Huang 🐥 at Sequoia Capital , Vinod Khosla at Khosla Ventures , Dan Rose at COATUE , and Lia Weiner-Tsur at Netz Capital, who believed in our ability to lead the intelligence race in cybersecurity and make sure the defenders always win.

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Australian communism has entered the chat… CANT WAIT to be forced into providing all my personal information, just for it to be stolen in the next big data breach. We’re essentially providing our own dox files, for hackers to sell and abuse. Your data is more valuable than you.
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Australian communism has entered the chat… CANT WAIT to be forced into providing all my personal information, just for it to be stolen in the next big data breach. We’re essentially providing our own dox files, for hackers to sell and abuse. Your data is more valuable than you.

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We've been working closely with NVIDIA to build the next generation of frontier models, which we debut today: our family of General World Models. We are thrilled to deepen our partnership with Jensen and his team. To celebrate, Jensen sent us a special holiday message. Hope you enjoy 🐶🎄

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1:53

General Intuition CEO Pim de Witte, who's building foundation models trained on video game controller input data ("action-labeled gameplay clips"), says general intelligence won't "taste like an LLM": "We have a scale of data that's going to allow us to jump to the frontier in one capability — which is any system that can be controlled with a game controller (which is most robots) — and then, you can use that to create a sufficiently general intelligence." "As humans, the decision to talk or type is a very, very small subset of the actions that we can actually take." "So in order to create a sufficiently general intelligence to play 10,000+ video games, the model has to be able to predict across the entire action space of human cognition when they're interacting with these environments. Which are 2D and 3D environments, interfaces, long-horizon tasks, short-horizon tasks, [etc.]." "It has to be a sufficiently general intelligence in order to predict actions. Therefore, the type of model you get out is not going to taste like an LLM. This model is going to be incredibly good at navigating unforeseen environments. It's going to be incredibly good at zero-shotting any task that can be done with a game controller."

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SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.
1:31

SITUATION EXPLAINED: A new generation of AI labs are betting that world models are the path to general intelligence that can interact with the real world. We had General Intuition CEO Pim de Witte on MTS to explain what world models are, and why intuitively world models offer a clearer path towards general intelligence than LLMs. For humans, text is a technology for compressing information about the unfolding, three-dimensional world around us and communicating it to other people. When LLMs reason about the world, they do so by reconstructing the world through text. World models work by modeling the three-dimensional world at the architecture level and then allowing agents to interact with that world. Unlike an LLM, which understands space and time through text, world models perform spatial and temporal reasoning natively. General Intuition hopes to use world models to create embodied AI—machines that can reason and act in the real world. But other companies are also pushing the frontier in this space. Odyssey ML today announced a multi-agent world model, Agora-1. Their launch video shows four participants interacting with a real-time world model simulation of GoldenEye, a first-person shooter for the N64. A playable preview of the GoldenEye simulation is available on their site.

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Interesting that in three of my recent conversations with Krishna at Anthropic, Dylan Patel, and Gavin Baker, each said that frontier tokens are capturing the majority of the economic value. Gavin: "An overwhelming amount of the economic returns to AI at the model layer have been at the frontier. That's surprising to me, and I think it's been surprising to a lot of people. This is one of the most important questions to be answered, and you need to have a hypothesis on it as an investor." Krishna: "We think the returns to frontier intelligence are extremely high. Customers invest really heavily in more tokens with the newer models. The ones at the frontier clearly are capturing this economic value, driving meaningful ROI for customers. The returns to frontier intelligence are not slowing down." Dylan: "No one gives a crap about GPT-4 class models. They want the frontier because the frontier lets them create the economically valuable things."
2:08

Interesting that in three of my recent conversations with Krishna at Anthropic, Dylan Patel, and Gavin Baker, each said that frontier tokens are capturing the majority of the economic value. Gavin: "An overwhelming amount of the economic returns to AI at the model layer have been at the frontier. That's surprising to me, and I think it's been surprising to a lot of people. This is one of the most important questions to be answered, and you need to have a hypothesis on it as an investor." Krishna: "We think the returns to frontier intelligence are extremely high. Customers invest really heavily in more tokens with the newer models. The ones at the frontier clearly are capturing this economic value, driving meaningful ROI for customers. The returns to frontier intelligence are not slowing down." Dylan: "No one gives a crap about GPT-4 class models. They want the frontier because the frontier lets them create the economically valuable things."

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121,110 görüntüleme • 3 ay önce