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David Friedberg says Anthropic asked big pharma for their data and nearly everyone said no "There's been an effort by Anthropic to sign up life sciences companies to contribute to a new life sciences focused model. They're approaching these large companies with large proprietary data sets and saying, if... you share your data, we will give you early access, some sort of proprietary value. Sign this NDA and you can participate with us." "I think nearly everyone I've spoken with has woken up to the fact that they are trying to commoditize everyone's business. If all of the tens of billions of dollars you have invested in experiments and product development, and you've generated all of this proprietary data along the way, that data is a true asset of your organization. It's an asset that you've spent billions of dollars developing." "And by handing it over to a model company to then combine with other people's data, you are commoditizing the one core differentiation that you have. And so everyone is largely saying no." "I think what everyone's realizing is they're better off developing their own weights and their own models using either an open source basis or there might be some intermediary business model that evolves."show more

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287,391 次观看 • 1 个月前 •via X (Twitter)

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David Sacks: Anthropic Is Trying to Crush Open Source AI and the American Developers Who Use It David Sacks: “I know people don't have a lot of sympathy for Chinese companies, that's fine. I'm not defending Chinese companies. I'm defending American developers who need to be able to use everything in the public domain. And let me give you an example. Cursor rolled out its new product, Composer 2. They were able to post-train that model using Kimi K2.5 on their own proprietary coding data. They started with a Chinese open source model, and then they used their own data, and they came up with a new derivative product. This is the way that open source works. You take things that are in the public domain, you fork them, you make them your own. And by the way, once it's in the public domain, it's not a Chinese model anymore. No data is going back to China, nothing's going back to China. An American company has taken open source contributions in the public domain, made it their own, and then developed their own model. And if you say that American companies can't do that, or that somehow it's tainted with IP theft, you are basically going to put a dagger through the heart of the entire American open source ecosystem. And that is exactly what Anthropic wants, because they do not want to have the competition.”

David Sacks: Anthropic Is Trying to Crush Open Source AI and the American Developers Who Use It David Sacks: “I know people don't have a lot of sympathy for Chinese companies, that's fine. I'm not defending Chinese companies. I'm defending American developers who need to be able to use everything in the public domain. And let me give you an example. Cursor rolled out its new product, Composer 2. They were able to post-train that model using Kimi K2.5 on their own proprietary coding data. They started with a Chinese open source model, and then they used their own data, and they came up with a new derivative product. This is the way that open source works. You take things that are in the public domain, you fork them, you make them your own. And by the way, once it's in the public domain, it's not a Chinese model anymore. No data is going back to China, nothing's going back to China. An American company has taken open source contributions in the public domain, made it their own, and then developed their own model. And if you say that American companies can't do that, or that somehow it's tainted with IP theft, you are basically going to put a dagger through the heart of the entire American open source ecosystem. And that is exactly what Anthropic wants, because they do not want to have the competition.”

The All-In Podcast

277,664 次观看 • 22 天前

.Josh Wolfe: Anybody Using DeepSeek App Is 'Absolute Fool' "Anybody using the DeepSeek app is an absolute fool. If you're using DeepSeek on companies like Together Compute, one of Lux's companies, which can get rid of the CCP censorship, then it's probably okay. But remember, the open-source movement is something we deeply believe in. Most great technologists, entrepreneurs, and venture capitalists are on the side of open source. The closed-source models that have consumed tens of billions of dollars are the ones that are really going to be at risk. When you look at Hugging Face, a major repository, or Together Compute, Runway ML, and a lot of Lux's companies, they have been pioneers in open source. Now, why am I not worried about open source, even with the DeepSeek model? As long as you don't have the CCP censorship on it, the models with their open weights allow people to run on their proprietary data. This means companies like pharma or defense companies that have their own siloed, proprietary data—think about Bloomberg with their proprietary longitudinal data, or Meta with their data—are the ones who will have the edge. Even as open source takes hold, these companies will still dominate. I’m not worried about open source being the problem. I’m more concerned about people overfunding closed models with no proprietary source. A lot of capital is going to be burned there, and we’re already seeing that with people worried about OpenAI in some aspects."

.Josh Wolfe: Anybody Using DeepSeek App Is 'Absolute Fool' "Anybody using the DeepSeek app is an absolute fool. If you're using DeepSeek on companies like Together Compute, one of Lux's companies, which can get rid of the CCP censorship, then it's probably okay. But remember, the open-source movement is something we deeply believe in. Most great technologists, entrepreneurs, and venture capitalists are on the side of open source. The closed-source models that have consumed tens of billions of dollars are the ones that are really going to be at risk. When you look at Hugging Face, a major repository, or Together Compute, Runway ML, and a lot of Lux's companies, they have been pioneers in open source. Now, why am I not worried about open source, even with the DeepSeek model? As long as you don't have the CCP censorship on it, the models with their open weights allow people to run on their proprietary data. This means companies like pharma or defense companies that have their own siloed, proprietary data—think about Bloomberg with their proprietary longitudinal data, or Meta with their data—are the ones who will have the edge. Even as open source takes hold, these companies will still dominate. I’m not worried about open source being the problem. I’m more concerned about people overfunding closed models with no proprietary source. A lot of capital is going to be burned there, and we’re already seeing that with people worried about OpenAI in some aspects."

Josh Caplan

40,039 次观看 • 1 年前

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

David Friedberg: Michael Burry’s Datacenter Math is Wrong “I actually think Michael Burberry's got this wrong.” “What Michael Burry is saying is that all of these hyperscalers have extended their depreciation schedule or the useful life of their data centers by roughly 2x, which cuts the operating costs in half when they report it in earnings. And so it's making their earnings inflate.” “So he's claiming they're cooking the books. Google first made this change in Q1 of 2021, where they said the servers are now going from 3 to 4 years. Separately in 2021, Google took networking equipment from 3 to 5 years. And then in 2023, they took it from 5 to 6 years.” “And so this is a result of this effort where they went in and did an analysis. So what happened?” “What happened in the data centers is that the data centers transitioned from being primarily data storage and data transfer systems, where you would use hard drives and RAM and memory to store data and then transmit it back out, to being data processing centers because of the AI boom.” “So as AI became more important in the data center, more of the dollars that are going into data centers were allocated towards chips from data storage, which initially was hard drives.” “And then suddenly, when you put these processors in to process the data to do AI, the majority of the spend and the majority of the energy is going towards the processors.” “I made some calls and I checked around with some other friends, and everyone says the same thing: that these 7-8 year old TPUs and GPUs that are sitting in the data centers are still being used and they're being used at 100% utilization.” “So that actually justifies and validates the depreciation schedule being much longer versus shorter.”

The All-In Podcast

304,297 次观看 • 9 个月前

Google is a vaccine company?! "One thing people need to know, is that Google is a vaccine company. Google's parent company alphabet and Verily have this this a series of sister subsidiaries of Google's, actually manufactured vaccines flu vaccines and other vaccines and they're making and they're partnering with all the pharmaceutical companies. So Google has a seven hundred and sixty one million dollar partnership with Glaxo and what they're doing is they're harvesting medical information. That's a huge part of their business and then they're selling it to the pharmaceutical companies. But they're partnering with pharmaceutical companies that they can use that medical they can tell what you're buying habits are they can hear you cough listening to the theory and that all of these, you know, the surveillance systems they're erecting and the informational systems and how we use them and what we purchase is Is all turned into sellable data. Now going to the vaccine companies and the big pharmaceutical companies and they're partnered with them. They're really just part of the big part of the industry."

Google is a vaccine company?! "One thing people need to know, is that Google is a vaccine company. Google's parent company alphabet and Verily have this this a series of sister subsidiaries of Google's, actually manufactured vaccines flu vaccines and other vaccines and they're making and they're partnering with all the pharmaceutical companies. So Google has a seven hundred and sixty one million dollar partnership with Glaxo and what they're doing is they're harvesting medical information. That's a huge part of their business and then they're selling it to the pharmaceutical companies. But they're partnering with pharmaceutical companies that they can use that medical they can tell what you're buying habits are they can hear you cough listening to the theory and that all of these, you know, the surveillance systems they're erecting and the informational systems and how we use them and what we purchase is Is all turned into sellable data. Now going to the vaccine companies and the big pharmaceutical companies and they're partnered with them. They're really just part of the big part of the industry."

Bridgett Fertig

49,678 次观看 • 7 个月前

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

“don’t train your own model” is common ai advice. it's wrong. your token bill's the proof. today, we’re excited to launch castform into open preview. castform is the easiest way for you to train your own model, on your own data. open-weights models are performant and much cheaper. when trained on your task & proprietary data, they beat closed models. the thing standing between you and that was weeks of plumbing & years of ml expertise. with castform, model training is as simple as prompt engineering. castform bring your agent traces or raw corpora. castform turns it into training data, picks the right algorithmic recipes, manages gpus, and gives you an ide to watch and chat with your model as it learns. see what you can build with castform👇

girish

458,717 次观看 • 2 个月前

FRIEDBERG: VIDEO DATA WILL POWER THE NEXT GENERATION OF AI Friedberg broke down the scale shift coming to artificial intelligence, arguing that text based models like GPT are just the beginning, and that the real revolution will come from video-trained systems: “The internet and all these LLMs are language models trained on text from the internet, around 50 billion words total, maybe one to five terabytes of data in their training sets. But if you look at the video data out there, there are hundreds of billions of hours, much of it on YouTube. By some estimates, there’s a thousand exabytes of video data on the internet, about a billion times more than text data. I think we just saw that play out with the new video model that launched yesterday. Google has all this YouTube data, whether or not they’re using it to train, I don’t know. I’ve heard from insiders they’re not allowed to yet and would have to redo the terms of service.” Source: AIFinInsights david friedberg

FRIEDBERG: VIDEO DATA WILL POWER THE NEXT GENERATION OF AI Friedberg broke down the scale shift coming to artificial intelligence, arguing that text based models like GPT are just the beginning, and that the real revolution will come from video-trained systems: “The internet and all these LLMs are language models trained on text from the internet, around 50 billion words total, maybe one to five terabytes of data in their training sets. But if you look at the video data out there, there are hundreds of billions of hours, much of it on YouTube. By some estimates, there’s a thousand exabytes of video data on the internet, about a billion times more than text data. I think we just saw that play out with the new video model that launched yesterday. Google has all this YouTube data, whether or not they’re using it to train, I don’t know. I’ve heard from insiders they’re not allowed to yet and would have to redo the terms of service.” Source: AIFinInsights david friedberg

Mario Nawfal

15,855 次观看 • 8 个月前

Catherine Austin Fitts: "I think Palantir is in partnership with the Netanyahu syndicate... [and] they have the treasury data, the IRS data, [and] they have the Social Security data... [and they're] building a complete biometric surveillance [grid] of the entire population." This clip of Fitts, a former Assistant Secretary of Housing and Urban Development, investment banker, and founder of the Solari Report (The Solari Report | Catherine Austin Fitts), is taken from an interview with Gary Heasley, et al. of The Conservative Voice (The Conservative Voice) posted to X on July 8, 2025. ---------------Partial transcription of clip--------------- "I think Palantir is in partnership with the Netanyahu syndicate and the breakaways. I don't, you know. But they have contracts with Health and Human Services. They have contracts. The government pays them massive amounts. Massive amounts of money. Massive amounts of money. "And so if you look at the Doge theft, what you've done is you've moved between the government contracts. You know, there's a new sole source ICE contract on the way to Palantir as well. That's just announced. I just found that last night. So you've got, you know, you. Basically, they have the treasury data, they have the IRS data, they have the Social Security data. [And now] they're going to have all the ICE data. "And then, Trump has announced he wants to privatize Freddie and Fannie, but Palantir is going to underwrite all the packages before they come into Freddie and Fannie. So they're going to have all the housing data. And we know HHS has said they're organizing all the health, public and private health data, so I'm assuming that's going in as well. And basically you're talking about that data being managed and, and I think at this point, basically privatized into AI. "So the Doge operation, if I'm right, and this is my hypothesis, if the Doge operation did what I think, they transferred all the data. And, and, and they did it when an XAI announced a partnership with Palantir. And then the government turned around and Palantir had a lot of contracts with those agencies anyway. But, but then they gave them additional contracts, and so they have plenty of money, especially the ICE is going to be sole source, so you can just do pretty much whatever you want. So they have plenty of money to manage that data. And yes, I think they have it on a private basis. "And what's interesting, I have somebody, a professional that I work with who has for, for his business, has to do income verification. And, magically, two weeks after, Doge got the Treasury, Social Security and irs, suddenly the income verification service he uses announces they have 100% of Americans now complete data on everyone. Magically. "[Also,] the ICE story is complicated because there are multiple things going on, but there's no doubt the primary thing going on is building a complete biometric surveillance of the entire population."

Catherine Austin Fitts: "I think Palantir is in partnership with the Netanyahu syndicate... [and] they have the treasury data, the IRS data, [and] they have the Social Security data... [and they're] building a complete biometric surveillance [grid] of the entire population." This clip of Fitts, a former Assistant Secretary of Housing and Urban Development, investment banker, and founder of the Solari Report (The Solari Report | Catherine Austin Fitts), is taken from an interview with Gary Heasley, et al. of The Conservative Voice (The Conservative Voice) posted to X on July 8, 2025. ---------------Partial transcription of clip--------------- "I think Palantir is in partnership with the Netanyahu syndicate and the breakaways. I don't, you know. But they have contracts with Health and Human Services. They have contracts. The government pays them massive amounts. Massive amounts of money. Massive amounts of money. "And so if you look at the Doge theft, what you've done is you've moved between the government contracts. You know, there's a new sole source ICE contract on the way to Palantir as well. That's just announced. I just found that last night. So you've got, you know, you. Basically, they have the treasury data, they have the IRS data, they have the Social Security data. [And now] they're going to have all the ICE data. "And then, Trump has announced he wants to privatize Freddie and Fannie, but Palantir is going to underwrite all the packages before they come into Freddie and Fannie. So they're going to have all the housing data. And we know HHS has said they're organizing all the health, public and private health data, so I'm assuming that's going in as well. And basically you're talking about that data being managed and, and I think at this point, basically privatized into AI. "So the Doge operation, if I'm right, and this is my hypothesis, if the Doge operation did what I think, they transferred all the data. And, and, and they did it when an XAI announced a partnership with Palantir. And then the government turned around and Palantir had a lot of contracts with those agencies anyway. But, but then they gave them additional contracts, and so they have plenty of money, especially the ICE is going to be sole source, so you can just do pretty much whatever you want. So they have plenty of money to manage that data. And yes, I think they have it on a private basis. "And what's interesting, I have somebody, a professional that I work with who has for, for his business, has to do income verification. And, magically, two weeks after, Doge got the Treasury, Social Security and irs, suddenly the income verification service he uses announces they have 100% of Americans now complete data on everyone. Magically. "[Also,] the ICE story is complicated because there are multiple things going on, but there's no doubt the primary thing going on is building a complete biometric surveillance of the entire population."

Sense Receptor

123,301 次观看 • 1 年前

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 次观看 • 1 年前

Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"

Palantir CEO Alex Karp on what customers actually want, the real business of frontier labs, and the importance of open source models: “What the technical customers want is control over their compute, their models, their data stack, and their alpha. They want to know they own the means of production, and it's not being transferred to someone else.” "Who owns the data? Are the prompts secure? Is this being transferred to you?" "If it was so valuable, and I can make you a billion dollars, wouldn't I say I'll make you a billion dollars and I want 30%? Why are they charging for tokens if it's so valuable?"

Palantir

4,504,829 次观看 • 1 个月前

David Friedberg david friedberg: Anthropic is trying to commoditize everyone's business. Friedberg, a life-sciences CEO and All-In host, sat in on Anthropic's enterprise pitch to biotech: share your proprietary data, get model access. Nearly every company he spoke with reached the same conclusion - sharing the data makes Anthropic's model stronger and their own moat thinner at the same time. David Sacks David Sacks corroborates from the VC side: enterprise clients are "just unhappy," convinced they hand over IP and get generic intelligence back. Bill Gurley Bill Gurley of Benchmark has pushed the same skepticism from another angle: much of the AI enterprise value story is partially fake. Any SaaS product built on a frontier API inherits this trust problem the moment customers decide the model layer commoditizes their domain. Watch churn language, not just ARR. Why two independent sources landing here is close to confirmation: Source: All-In Podcast -

David Friedberg david friedberg: Anthropic is trying to commoditize everyone's business. Friedberg, a life-sciences CEO and All-In host, sat in on Anthropic's enterprise pitch to biotech: share your proprietary data, get model access. Nearly every company he spoke with reached the same conclusion - sharing the data makes Anthropic's model stronger and their own moat thinner at the same time. David Sacks David Sacks corroborates from the VC side: enterprise clients are "just unhappy," convinced they hand over IP and get generic intelligence back. Bill Gurley Bill Gurley of Benchmark has pushed the same skepticism from another angle: much of the AI enterprise value story is partially fake. Any SaaS product built on a frontier API inherits this trust problem the moment customers decide the model layer commoditizes their domain. Watch churn language, not just ARR. Why two independent sources landing here is close to confirmation: Source: All-In Podcast -

Podcast Alpha

51,986 次观看 • 1 个月前

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Today we're launching Amplitude MCP MCP was made for data analytics. Ask a vague question and have an AI model iteratively query Amplitude to find you insights. Amplitude MCP exposes all of Amplitude's functionality so an agent can interact with it directly. It allows you to use Amplitude without having to know anything about Amplitude's user interface or your data taxonomy. It uses the intelligence of off the shelf AI agents, including Claude, Gemini, and Cursor, to query Amplitude data you already have to find answers. It leverages all of your existing Amplitude data and how it's used to navigate through large complex behavioral datasets. You can have conversations about your product data directly inside any AI model with MCP. It can create Amplitude dashboards and notebooks with what it finds and even make recommendations. This is the best MCP use case I've ever seen. Watching an AI agent think, reason, query Amplitude, and then repeat that process iteratively is magical. See it in action:

Spenser Skates

32,332 次观看 • 9 个月前

Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Larry Ellison—owner of Oracle, CBS, and now TikTok—tells Tony Blair about his plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" his AI models. "We have to take all of this data... and move it into a single, if you will, unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

144,618 次观看 • 7 个月前

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Tony Blair and Oracle co-founder Larry Ellison plan to use digital ID to "unify" all data on each country's citizens "so it can be consumed and used by" their AI models. "We have to take all of this data... and move it into a single... unified data platform." "When we want to ask a question, we've provided that AI model with all the data they need to understand our country." "We need to unify all of the national data, put it into a database where it's easily consumable by the AI model, and then ask whatever question you like."

Wide Awake Media

54,141 次观看 • 9 个月前

Palantir CEO Alex Karp on why the model is not the moat. The application layer is: "To make them valuable in an enterprise, like a battlefield, regulated, or manufacturing context, you have to have what's called an application layer." "We have this thing called ontology that now everyone's copying. It takes a large language model and makes it safe and useful and precise." "Safe because it doesn't touch your underlying data." "Safe because it prevents the large language model from caching your data and replicating your business." The tell for any enterprise AI pitch: ask what sits between the model and your data. If the answer is nothing, you are not buying leverage. You are renting a fast way to hand your business to whoever owns the weights. Alex Karp, CEO of Palantir, on CNBC.

Palantir CEO Alex Karp on why the model is not the moat. The application layer is: "To make them valuable in an enterprise, like a battlefield, regulated, or manufacturing context, you have to have what's called an application layer." "We have this thing called ontology that now everyone's copying. It takes a large language model and makes it safe and useful and precise." "Safe because it doesn't touch your underlying data." "Safe because it prevents the large language model from caching your data and replicating your business." The tell for any enterprise AI pitch: ask what sits between the model and your data. If the answer is nothing, you are not buying leverage. You are renting a fast way to hand your business to whoever owns the weights. Alex Karp, CEO of Palantir, on CNBC.

Karl Mehta

31,891 次观看 • 1 个月前

Finland President Alexander Stubb: Well, we have to be more independent in some cases. If you, for example, look at storage of personal data, obviously a lot of Europeans are angry that their personal data is stored outside of the EU. So we have to build our own data centers and our own AI factories so we can actually own the data of our own citizens. But in the end, there is no such thing as European full autonomy. You will always need to collaborate with our friends in Canada, in the US, in other partnerships around the world. ASML and other tech companies can play a crucial role both in the US and here.

Finland President Alexander Stubb: Well, we have to be more independent in some cases. If you, for example, look at storage of personal data, obviously a lot of Europeans are angry that their personal data is stored outside of the EU. So we have to build our own data centers and our own AI factories so we can actually own the data of our own citizens. But in the end, there is no such thing as European full autonomy. You will always need to collaborate with our friends in Canada, in the US, in other partnerships around the world. ASML and other tech companies can play a crucial role both in the US and here.

Clash Report

20,444 次观看 • 1 个月前

Iran Demands Gulf States Break From London-Wall Street Axis Alastair Crooke: They are looking for a rapid, systematic change of the West Asian situation of the GCCs, saying to the GCCs, “You’ve got to learn to deal with us if you want to do business and you want to continue.” And the aim is to undermine and to end the petrodollar and dollar hegemony in the area. And part of their requirements, not listed by the Supreme Leader in this, is that you’ve got to give up your data centers and all the elements which are connected with the United States. If you want to do business through Hormuz, you have to get rid of all of these elements, including Microsoft, Amazon, and all these elements that you’re using. They have to go too. You have to disabuse yourself, and in such a case, then we will secure it. If you want greater security, you better look to China for your security in the future.

Iran Demands Gulf States Break From London-Wall Street Axis Alastair Crooke: They are looking for a rapid, systematic change of the West Asian situation of the GCCs, saying to the GCCs, “You’ve got to learn to deal with us if you want to do business and you want to continue.” And the aim is to undermine and to end the petrodollar and dollar hegemony in the area. And part of their requirements, not listed by the Supreme Leader in this, is that you’ve got to give up your data centers and all the elements which are connected with the United States. If you want to do business through Hormuz, you have to get rid of all of these elements, including Microsoft, Amazon, and all these elements that you’re using. They have to go too. You have to disabuse yourself, and in such a case, then we will secure it. If you want greater security, you better look to China for your security in the future.

🅰pocalypsis 🅰pocalypseos 🇷🇺 🇨🇳 🅉

39,291 次观看 • 4 个月前

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Santiago

39,101 次观看 • 2 年前

Palantir CEO Alex Karp said enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic. Cerebras CEO Andrew Feldman (Andrew Feldman) says Karp is right: "You shouldn't be dependent on Nvidia. You shouldn't be dependent on one model maker. I think that rarely works out well." "A different way to think about what Alex said is: you want to think about where your advantage is." "If you have unique data, be sure you don't give that away. Be sure you have multiple choices in different parts of the stack, but you get the credit for your data, and it doesn't help make somebody else's model better."

Palantir CEO Alex Karp said enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic. Cerebras CEO Andrew Feldman (Andrew Feldman) says Karp is right: "You shouldn't be dependent on Nvidia. You shouldn't be dependent on one model maker. I think that rarely works out well." "A different way to think about what Alex said is: you want to think about where your advantage is." "If you have unique data, be sure you don't give that away. Be sure you have multiple choices in different parts of the stack, but you get the credit for your data, and it doesn't help make somebody else's model better."

Molly O’Shea

106,968 次观看 • 1 个月前

So here’s the deal, THE TREASURY DEPARTMENT DATA IS COMPROMISED. Actors without security clearance have been given access to scrape your data. Elon Musk now controls your data and it represents the same level of control exerted by the Chinese government’s social credit system. Musk is now able to profile every name on the treasury data systems. There is no way to sugar coat the fact that your data is no longer secure. It can now be used to target you and not for your benefit, be sure of that. Democrats and advocacy groups can take all the legal action they like, THE DATA IS COMPROMISED and you can’t put the genie back in the bottle. This data can now be used to literally social engineer services to target any perceived enemy of ‘the state’. Call me a conspiracy theorist if you like, but then sit back have a think if any of what I am suggesting is not possible. I analyse big data for a living and I have no solution to this problem and neither does any Democrat telling you it can be fixed.

𝔗𝔯𝔲𝔱𝔥 𝔐𝔞𝔱𝔱𝔢𝔯𝔰

16,366 次观看 • 1 年前

ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022

ELON: AGI IS LIKELY TO EMERGE FROM OUR AUTONOMOUS CARS AND HUMANOIDS “We're not actually specifically focused on AGI. I'm simply saying that AGI seems likely to be an emergent property of what we're doing, because we're creating all these autonomous cars and autonomous humanoids that are actually a truly gigantic data stream that's coming in and being processed. It's by far the most amount of real-world data, and data you can't get by just searching the Internet, because you have to be out there in the world and interacting with people and interacting with the roads. Earth is a big place, and reality is messy and complicated. If you've got tens or hundreds of millions of autonomous vehicles and maybe even a comparable number of humanoids, maybe more than that, on the humanoid front, well, that's just the most amount of data. And if that video is being processed, it just seems likely that the cars will definitely get way better than human drivers, and the humanoid robots will become increasingly indistinguishable from humans, perhaps. And so then, like you said, you have this emergent property of AGI.” Source: Tesla AI Day, September 2022

Mario Nawfal

2,628,293 次观看 • 1 年前