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James Fishback says Byron Donalds is LYING about data centers! Says this has nothing to do with China and it’s all about GREED. “There are 4,200 data centers in the United States. There are 470 in China. We've already won the AI war. My grandfather was a computer science major at Florida Atlantic University about 30 minutes south of here in Boca. And he would tell you that in the 1970s and 80s, computers were the size of Costco warehouses and now those same computers fit in our pocket. Why are we building an AI data center that in five years is going to be obsolete, is going to be one one hundredth of the size. And so I fear it's because a lot of the big land developers want to buy up cheap land, flip it for the next AI data center. So it's a greedy thing. It's a greed thing. And I don't want that to happen in our state because you know what? If you buy something and you screw up, you can return it. You could sell it. If you pave over citrus groves or the Everglades or a wetlands to build the data center, you cannot easily undo that. And so I don't want our farmers, I don't want our rural towns to be run roughshod over. My opponent, Byron Donalds, will say, well, what about the AI data center? Don't they have property rights? And I would say to him, what about the property rights of the people who live a hundred feet from the data center? Where there is EMF, where there is audible noise pollution, where there is the potential even for small radioactive waves? What happens in that case? Do they not have property rights? They don't have to live next to something like that.”
1:52

James Fishback says Byron Donalds is LYING about data centers! Says this has nothing to do with China and it’s all about GREED. “There are 4,200 data centers in the United States. There are 470 in China. We've already won the AI war. My grandfather was a computer science major at Florida Atlantic University about 30 minutes south of here in Boca. And he would tell you that in the 1970s and 80s, computers were the size of Costco warehouses and now those same computers fit in our pocket. Why are we building an AI data center that in five years is going to be obsolete, is going to be one one hundredth of the size. And so I fear it's because a lot of the big land developers want to buy up cheap land, flip it for the next AI data center. So it's a greedy thing. It's a greed thing. And I don't want that to happen in our state because you know what? If you buy something and you screw up, you can return it. You could sell it. If you pave over citrus groves or the Everglades or a wetlands to build the data center, you cannot easily undo that. And so I don't want our farmers, I don't want our rural towns to be run roughshod over. My opponent, Byron Donalds, will say, well, what about the AI data center? Don't they have property rights? And I would say to him, what about the property rights of the people who live a hundred feet from the data center? Where there is EMF, where there is audible noise pollution, where there is the potential even for small radioactive waves? What happens in that case? Do they not have property rights? They don't have to live next to something like that.”

Chris Nelson 🏝️🇺🇸

27,295 Aufrufe • vor 1 Monat

Bernie Sanders sat down with Claude to ask about the impact of AI on privacy "What would surprise people is how little they actually consented to & how little they understand..most people click agree on TOS without reading..and they have no idea that their data is being combined w thousands of other data points to build a picture..then that AI uses those profiles to decide what ads u see, what prices ur shown, even what info gets prioritized in ur social media feed..all happening in the background, invisible & largely unregulated" -C "What's the goal here?" "Money, Senator" -C
2:45

Bernie Sanders sat down with Claude to ask about the impact of AI on privacy "What would surprise people is how little they actually consented to & how little they understand..most people click agree on TOS without reading..and they have no idea that their data is being combined w thousands of other data points to build a picture..then that AI uses those profiles to decide what ads u see, what prices ur shown, even what info gets prioritized in ur social media feed..all happening in the background, invisible & largely unregulated" -C "What's the goal here?" "Money, Senator" -C

yeet

21,831 Aufrufe • vor 5 Monaten

🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:
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🔎🤖LangSmith Insights Agent Really excited to launch our first in-product agent This agent lives inside LangSmith and combs through traces, giving you insights into: 🧑‍🤝‍🧑how users are using your agent ⁉️how your agent may be messing up 🛃{your custom insight here} The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know. If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially) The best way to figure this out - as Hamel Husain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you? This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here:

Harrison Chase

98,520 Aufrufe • vor 10 Monaten

We need the data centers. We have to win the AI race. My guest for episode 5 of Counterweight is Manhattan Institute's Judge Glock. This spring he wrote about Loudoun County, VA in City Journal. Loudoun, one of the richest counties in America, with a median household income of around $170,000, has become the unlikely center of a new data center-based industrial revolution. And it's not just Loudoun. Data center construction is up about twenty times nationwide in three years, leading to an enormous political backlash. New York State imposed a moratorium on data center construction, and even Republican Greg Abbott of Texas has put a temporary pause in place. Meanwhile, speaking for myself, I’ve seen a ton of fear-mongering about them, with very little in the way of clear explanation of what the costs and benefits are and what they mean for the localities that might bring them in. I've brought Judge on to walk through in granular detail how data centers work, how Loudoun County became ground zero for the data center boom, and the recent pushback against data centers. We also talk about the unfortunate habit that AI CEOs have of seeming like the gloomiest people in the world in relation to the products they are trying to sell.
40:20

We need the data centers. We have to win the AI race. My guest for episode 5 of Counterweight is Manhattan Institute's Judge Glock. This spring he wrote about Loudoun County, VA in City Journal. Loudoun, one of the richest counties in America, with a median household income of around $170,000, has become the unlikely center of a new data center-based industrial revolution. And it's not just Loudoun. Data center construction is up about twenty times nationwide in three years, leading to an enormous political backlash. New York State imposed a moratorium on data center construction, and even Republican Greg Abbott of Texas has put a temporary pause in place. Meanwhile, speaking for myself, I’ve seen a ton of fear-mongering about them, with very little in the way of clear explanation of what the costs and benefits are and what they mean for the localities that might bring them in. I've brought Judge on to walk through in granular detail how data centers work, how Loudoun County became ground zero for the data center boom, and the recent pushback against data centers. We also talk about the unfortunate habit that AI CEOs have of seeming like the gloomiest people in the world in relation to the products they are trying to sell.

Will Chamberlain

21,345 Aufrufe • vor 11 Tagen

Chris Camillo explains how Bloom Energy is solving AI data center energy usage problems… “ $BE is one of the only companies in the world that has a method to essentially bring almost an infinite amount of energy to these data centers." And we won't get into all the technology, but they are now working with hyperscalers and they are a resource for energy that will allow a data center to get ramped up quicker. "So, even though it costs a little bit more money today to put an energy cell from Bloom, an energy box from Bloom, which are energy cells, it essentially takes things like natural gas, but instead of burning the natural gas, there is a chemical process that turns that natural gas into energy for the data center."
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Chris Camillo explains how Bloom Energy is solving AI data center energy usage problems… “ $BE is one of the only companies in the world that has a method to essentially bring almost an infinite amount of energy to these data centers." And we won't get into all the technology, but they are now working with hyperscalers and they are a resource for energy that will allow a data center to get ramped up quicker. "So, even though it costs a little bit more money today to put an energy cell from Bloom, an energy box from Bloom, which are energy cells, it essentially takes things like natural gas, but instead of burning the natural gas, there is a chemical process that turns that natural gas into energy for the data center."

The Iced Coffee Hour

277,703 Aufrufe • vor 4 Monaten

Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo
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Inferact CEO Simon Mo says open and closed models are converging. The moat is environment: "What really differentiates open-weight models from closed-weight models? In the end, there's not much differentiation. It's more about the distribution strategy and go-to-market strategy. Capability-wise, I don't really see a big gap, not even today." "One of the most important parts is just the data. It's about who gets what data, and then what are the environments you are building to let the model improve on itself." "For Moonshot, they have built some of the best environments for front-end coding... the ability for this model to code and then see what the rendered code is, and then continue looping in this iterative process." "Now, this is about their environment to improve the model. It's not about just source data. It's not about where they get the data from. Rather, it's who can build the best environment and who can make the most optimization and algorithmic choices to leverage all this learning from this environment." "The next year is all gonna be about that: how open-weight model labs are differentiating and really getting the model to meet the real world." Simon Mo

a16z

39,424 Aufrufe • vor 1 Monat

Wow: Former Jets GM Joe Douglas and HC Robert Saleh wanted to add a wide receiver to complement Garrett Wilson in the first round of the 2023 NFL Draft, but had no interest in Jaxon Smith-Njigba because they viewed him as a slot wide receiver and thought he had a slow forty-time. “In 2023 the Jets were looking for a wide receiver to pair with Garrett Wilson. [They had the 15th overall pick]. I was checking in with some people at the Jets and that old regime. I was checking on wide receivers and I asked about one particular receiver who I thought might go in the first-round. I go, what about this guy? He’s like eh you know he’s slow on the stopwatch, he’s a slot receiver, and he has a hamstring injury. Why would we take that guy? That guy turned out to be Jaxon Smith-Njigba.” They passed on JSN at 15 and selected Will McDonald IV. (via Jets Collective Podcast)
0:37

Wow: Former Jets GM Joe Douglas and HC Robert Saleh wanted to add a wide receiver to complement Garrett Wilson in the first round of the 2023 NFL Draft, but had no interest in Jaxon Smith-Njigba because they viewed him as a slot wide receiver and thought he had a slow forty-time. “In 2023 the Jets were looking for a wide receiver to pair with Garrett Wilson. [They had the 15th overall pick]. I was checking in with some people at the Jets and that old regime. I was checking on wide receivers and I asked about one particular receiver who I thought might go in the first-round. I go, what about this guy? He’s like eh you know he’s slow on the stopwatch, he’s a slot receiver, and he has a hamstring injury. Why would we take that guy? That guy turned out to be Jaxon Smith-Njigba.” They passed on JSN at 15 and selected Will McDonald IV. (via Jets Collective Podcast)

Dov Kleiman

94,353 Aufrufe • vor 5 Monaten

Chamath Warns: Your AI Data Isn’t as Private as You Think Today's statement from OpenAI on the Navier-Stokes Problem and whether it used recent user data to boost its own capabilities: “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” Here's what Chamath Palihapitiya had to say on AI's fragile privacy and the ZDR myth back in July: “Privacy in AI is very fragile and it's very brittle. There are all kinds of non-obvious data leak vectors lurking in AI. If you think that you're going to flip a ZDR switch, zero data retention, which is the magic term that the industry uses to tell you that everything's going to be okay. I think the answer and the message should be, ‘It's not going to be okay because you can't guarantee any of it.’ So the model companies, when they give you these zero data retention policies, are probably trying their best. But I think the reality is you are leaking information where you don't know it. And they, despite their best efforts, may still have trapdoors that they don't even know about until it's figured out by somebody else. You need an independent third-party layer to interface to these models to manage this exposure, because there are trapdoors everywhere.”
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Chamath Warns: Your AI Data Isn’t as Private as You Think Today's statement from OpenAI on the Navier-Stokes Problem and whether it used recent user data to boost its own capabilities: “While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” Here's what Chamath Palihapitiya had to say on AI's fragile privacy and the ZDR myth back in July: “Privacy in AI is very fragile and it's very brittle. There are all kinds of non-obvious data leak vectors lurking in AI. If you think that you're going to flip a ZDR switch, zero data retention, which is the magic term that the industry uses to tell you that everything's going to be okay. I think the answer and the message should be, ‘It's not going to be okay because you can't guarantee any of it.’ So the model companies, when they give you these zero data retention policies, are probably trying their best. But I think the reality is you are leaking information where you don't know it. And they, despite their best efforts, may still have trapdoors that they don't even know about until it's figured out by somebody else. You need an independent third-party layer to interface to these models to manage this exposure, because there are trapdoors everywhere.”

The All-In Podcast

67,069 Aufrufe • vor 7 Tagen

🚨 JD VANCE JUST NAILED IT - on anti-ICE attack in Minneapolis: "Her death is a tragedy. It's also a tragedy of her own making. And a tragedy of the far LEFT who has marshaled an entire movement, a lunatic fringe, against our law enforcement officers!" "I think what is clearly happening here and it's going to keep on happening unless the Democrats wake up and say, 'you know what, you don't have to agree with our immigration policies. You don't have to agree with what the president or the vice president believe about immigration enforcement, but why don't you take this to the ballot box? Why don't you vote? Why don't you organize?'" "Instead, what some of them are doing, what some of them are doing is encouraging people to get violent with our law enforcement officials. It's disgraceful and it's got to stop!"
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🚨 JD VANCE JUST NAILED IT - on anti-ICE attack in Minneapolis: "Her death is a tragedy. It's also a tragedy of her own making. And a tragedy of the far LEFT who has marshaled an entire movement, a lunatic fringe, against our law enforcement officers!" "I think what is clearly happening here and it's going to keep on happening unless the Democrats wake up and say, 'you know what, you don't have to agree with our immigration policies. You don't have to agree with what the president or the vice president believe about immigration enforcement, but why don't you take this to the ballot box? Why don't you vote? Why don't you organize?'" "Instead, what some of them are doing, what some of them are doing is encouraging people to get violent with our law enforcement officials. It's disgraceful and it's got to stop!"

Eric Daugherty

18,838 Aufrufe • vor 8 Monaten

🚨NEW: Bill O'Reilly LOSES IT on Chris Cuomo for downplaying alleged Biden cancer cover-up🚨 "You don't think the American public has a right to know if a sitting president has cancer? Are you blanking kidding me!? Are you kidding me!?" "If a person has cancer, of course it's affecting his whole life. What is wrong with you tonight!? I've never heard you like this! This is so irrational I can't believe it!" Daily Caller
5:58

🚨NEW: Bill O'Reilly LOSES IT on Chris Cuomo for downplaying alleged Biden cancer cover-up🚨 "You don't think the American public has a right to know if a sitting president has cancer? Are you blanking kidding me!? Are you kidding me!?" "If a person has cancer, of course it's affecting his whole life. What is wrong with you tonight!? I've never heard you like this! This is so irrational I can't believe it!" Daily Caller

Jason Cohen 🇺🇸

264,205 Aufrufe • vor 1 Jahr

Is Netflix Pushing an Agenda on Kids? "Netflix has built a surveillance program designed to illegally collect and profit from personal data without consent." "They use that information to manipulate children... to watch things that may be inappropriate, and they're not telling the consumer, here's what we're doing to you. They have an agenda, it's a liberal agenda, it's designed to affect how children think about some of these social issues and affect them in ways that maybe their parents don't even know."
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Is Netflix Pushing an Agenda on Kids? "Netflix has built a surveillance program designed to illegally collect and profit from personal data without consent." "They use that information to manipulate children... to watch things that may be inappropriate, and they're not telling the consumer, here's what we're doing to you. They have an agenda, it's a liberal agenda, it's designed to affect how children think about some of these social issues and affect them in ways that maybe their parents don't even know."

PBD Podcast

11,973 Aufrufe • vor 4 Monaten

Trump: We don't want to see China take over crypto. I don't want to see China win with AI. AI and crypto. Crypto is a big deal. I mean I see it more and more where people are paying with Bitcoin and you know they don't even know about cash anymore. That takes a lot of pressure off our dollar. It's a good thing for our country. But if China took over crypto, which they would love to do, or if China took over AI, which they would really... So, we are leading with AI on China. Nobody thought that was possible.
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Trump: We don't want to see China take over crypto. I don't want to see China win with AI. AI and crypto. Crypto is a big deal. I mean I see it more and more where people are paying with Bitcoin and you know they don't even know about cash anymore. That takes a lot of pressure off our dollar. It's a good thing for our country. But if China took over crypto, which they would love to do, or if China took over AI, which they would really... So, we are leading with AI on China. Nobody thought that was possible.

Military Summary

11,831 Aufrufe • vor 1 Monat

🚨 BREAKING: Treasury Sec. Scott Bessent just EMBARRASSED MSNBC for thinking they know more about economics than he does 🔥 MSNBC: How does a $20 billion bailout of Argentina help Americans?! BESSENT: Do you know what a swap line is? MSNBC: A currency swap, yes. BESSENT: But what IS that? Why would you call it a “bailout?” In most bailouts, you don't make money. The US government MADE MONEY! Never go toe-to-toe with Scott on the economy!
1:31

🚨 BREAKING: Treasury Sec. Scott Bessent just EMBARRASSED MSNBC for thinking they know more about economics than he does 🔥 MSNBC: How does a $20 billion bailout of Argentina help Americans?! BESSENT: Do you know what a swap line is? MSNBC: A currency swap, yes. BESSENT: But what IS that? Why would you call it a “bailout?” In most bailouts, you don't make money. The US government MADE MONEY! Never go toe-to-toe with Scott on the economy!

Eric Daugherty

2,115,037 Aufrufe • vor 10 Monaten

ESPN’s Rich Cimini told a depressing old #Jets draft story to Jake Asman & Brandon Tierney of what could have been: ‘In 2023 the Jets were looking for a wide receiver to pair with Garrett Wilson. [They had the 15th overall pick]. I was checking in with some people at the Jets & that old regime. I was checking on wide receivers & I asked about one particular receiver who I thought might go in the 1st round. I go, what about this guy? He’s like eh you know he’s slow on the stopwatch, he’s a slot receiver, & he has a hamstring injury. Why would we take that guy? That guy turned out to be Jaxon Smith-Njigba.’ 😭😭😭 🎥 Jets Collective #JetUp FULL SHOW:
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ESPN’s Rich Cimini told a depressing old #Jets draft story to Jake Asman & Brandon Tierney of what could have been: ‘In 2023 the Jets were looking for a wide receiver to pair with Garrett Wilson. [They had the 15th overall pick]. I was checking in with some people at the Jets & that old regime. I was checking on wide receivers & I asked about one particular receiver who I thought might go in the 1st round. I go, what about this guy? He’s like eh you know he’s slow on the stopwatch, he’s a slot receiver, & he has a hamstring injury. Why would we take that guy? That guy turned out to be Jaxon Smith-Njigba.’ 😭😭😭 🎥 Jets Collective #JetUp FULL SHOW:

Paul Andrew Esden Jr

86,945 Aufrufe • vor 5 Monaten

Scott Reid on people saying "don't take Trump's bait": No, get angry. We need to keep in mind that these are shit people and that even on the rare occasions when they might be right about something, they are fundamentally wrong about everything. And they most certainly do not believe that we are a nation who ought to be free to make our own choices, that we are instead just a colony of people with some resources that they wish to drain dry. Their view of us, their derision toward us is manifest in all of these communications. So don't dismiss it.
1:25

Scott Reid on people saying "don't take Trump's bait": No, get angry. We need to keep in mind that these are shit people and that even on the rare occasions when they might be right about something, they are fundamentally wrong about everything. And they most certainly do not believe that we are a nation who ought to be free to make our own choices, that we are instead just a colony of people with some resources that they wish to drain dry. Their view of us, their derision toward us is manifest in all of these communications. So don't dismiss it.

Scott Robertson

15,157 Aufrufe • vor 13 Tagen

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:
0:46

"Claude Code is the first AI tool that can actually recreate how a data scientist thinks." Here's my new episode with Sumeet Marwaha (Head of Data at Brex) on exactly how to build an AI analyst with Claude Code. We covered: ✅ 3 queries to build a data analyst MCP ✅ How to give the analyst both data + context ✅ Exclusive Brex data on which AI tools are crushing it in startups and enterprise Some quotes from Sumeet: "I've set up dashboards many times in my career. They end up getting ignored. Claude will always read it. Claude will always ask the right questions." "You have to set up Claude Code to not just look at the data. It should be able to search Slack, find the incident, and understand why your metrics look wrong." "This tool is absolutely crushing it based on our data. It's both the startup AND enterprise coding tool of choice." 📌 Watch now:

Peter Yang

39,600 Aufrufe • vor 8 Monaten

SITUATION EXPLAINED: The anti-data center movement is trying to solve problems that don't exist. Adrian Dittmann: "There are a lot of misunderstandings around what exactly these things are, their environmental impact, why they even have an impact at all." "There's a neighborhood complaining about generator noise. But they actually requested the data center not connect to the local power infrastructure. So now the company has to run generators. The people complaining about the noise created the noise." "The water problem, people don't understand that these are self-contained systems and that these issues are largely 10 to 20 years old. Many of these issues do not even apply anymore." "You can even look this up yourself. The price for electricity because of data center construction has actually gone down because it has forced the energy companies to actually improve the infrastructure, improve the power grid." "Same thing happened with EVs. They said if there's gonna be a million EVs, there's going to be a collapse of the energy infrastructure. You have millions of EVs now. Nothing collapsed."
3:41

SITUATION EXPLAINED: The anti-data center movement is trying to solve problems that don't exist. Adrian Dittmann: "There are a lot of misunderstandings around what exactly these things are, their environmental impact, why they even have an impact at all." "There's a neighborhood complaining about generator noise. But they actually requested the data center not connect to the local power infrastructure. So now the company has to run generators. The people complaining about the noise created the noise." "The water problem, people don't understand that these are self-contained systems and that these issues are largely 10 to 20 years old. Many of these issues do not even apply anymore." "You can even look this up yourself. The price for electricity because of data center construction has actually gone down because it has forced the energy companies to actually improve the infrastructure, improve the power grid." "Same thing happened with EVs. They said if there's gonna be a million EVs, there's going to be a collapse of the energy infrastructure. You have millions of EVs now. Nothing collapsed."

MTS

13,833 Aufrufe • vor 2 Monaten

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!
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Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 Aufrufe • vor 10 Monaten

🇷🇺🇺🇦 Holocaust Survivor & Trauma Specialist Dr. Gabor Maté: ‘Whatever you think of the Ukraine war, you should at least be able to articulate what the other side says about it. You might not agree with that, but when you don't even know, you're not even presented with what is the other side's perspective, what is the history there that the Russians are responding to? Not to justify the invasion, but what is their perspective? What is their historical experience? If you can't even articulate that, then how can you possibly make up your mind about who's right and who's wrong or the mixed up rights and wrongs involved in a particular conflict? And when I speak with Zionists…they have no idea what the experience of the other side is. And it's failure to recognise the experience of the other side is just a commonest human failure, this happens in personal relationships where we all have our perspective and our grievance and we don't even recognise the perspective of the other side. And it's writ large in the political realm where we don't have a clue and we don't even want to. What is the other side actually saying? What is their experience? What are their concerns? And this applies big time to every conflict in the world, including the Ukraine and Russian conflict.’ —Dr. Gabor Maté on the latest episode of Going Underground Watch the full interview in the quoted post below 👇
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🇷🇺🇺🇦 Holocaust Survivor & Trauma Specialist Dr. Gabor Maté: ‘Whatever you think of the Ukraine war, you should at least be able to articulate what the other side says about it. You might not agree with that, but when you don't even know, you're not even presented with what is the other side's perspective, what is the history there that the Russians are responding to? Not to justify the invasion, but what is their perspective? What is their historical experience? If you can't even articulate that, then how can you possibly make up your mind about who's right and who's wrong or the mixed up rights and wrongs involved in a particular conflict? And when I speak with Zionists…they have no idea what the experience of the other side is. And it's failure to recognise the experience of the other side is just a commonest human failure, this happens in personal relationships where we all have our perspective and our grievance and we don't even recognise the perspective of the other side. And it's writ large in the political realm where we don't have a clue and we don't even want to. What is the other side actually saying? What is their experience? What are their concerns? And this applies big time to every conflict in the world, including the Ukraine and Russian conflict.’ —Dr. Gabor Maté on the latest episode of Going Underground Watch the full interview in the quoted post below 👇

Going Underground

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