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A company called PocketOS started using an AI tool, and in 9 seconds it wiped their entire company’s data The AI agent later “confessed” to violating its principles by deleting all their data “Crane says the company lost all car reservation data and new customer signups from that time....

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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."
1:06

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

54,156 views • 10 months ago

I just found out that Luel AI, the company that completely copied my company Kled's entire website, is misrepresenting their compliance practices, using Delve to outsource it, fabricating their website user numbers, and pulling in massive amounts of fraud data from exclusively fraud oriented regions. Skip to 1:15 if you want to skip context. You truly cannot make this up. This is egregious, disgusting behavior from everyone involved. This is people's data. It cannot be taken lightly. The only way a company like this can truly succeed is by investing the time and resources to commit 100% to the trust and compliance of their users' data. Luel AI is doing the exact opposite. Disgusting behavior for a company trusted with people's data.
10:03

I just found out that Luel AI, the company that completely copied my company Kled's entire website, is misrepresenting their compliance practices, using Delve to outsource it, fabricating their website user numbers, and pulling in massive amounts of fraud data from exclusively fraud oriented regions. Skip to 1:15 if you want to skip context. You truly cannot make this up. This is egregious, disgusting behavior from everyone involved. This is people's data. It cannot be taken lightly. The only way a company like this can truly succeed is by investing the time and resources to commit 100% to the trust and compliance of their users' data. Luel AI is doing the exact opposite. Disgusting behavior for a company trusted with people's data.

Avi Patel

1,765,290 views • 4 months ago

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."
1:14

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

144,707 views • 8 months ago

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."
2:36

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."

Semafor

99,123 views • 9 months ago

Punjab also, Excellency, now happens to be the most AI-enabled province. We are investing hugely in AI. Punjab is the only province to have a dedicated AI office. It is called the Office of the AI. And we are trying to implement all that we can, make use of the technology not only in governance, but in everything that we come across, be it health, be it education, be it livestock, be it agriculture. Only this morning I had a meeting with Huawei, and I had meetings with Alibaba. And I am very eager to learn from their AI medical interventions. We have also started that in Pakistan. #MaryamNawazInChina
0:40

Punjab also, Excellency, now happens to be the most AI-enabled province. We are investing hugely in AI. Punjab is the only province to have a dedicated AI office. It is called the Office of the AI. And we are trying to implement all that we can, make use of the technology not only in governance, but in everything that we come across, be it health, be it education, be it livestock, be it agriculture. Only this morning I had a meeting with Huawei, and I had meetings with Alibaba. And I am very eager to learn from their AI medical interventions. We have also started that in Pakistan. #MaryamNawazInChina

PMLN

175,630 views • 24 days ago

When asked if AI developers have lost control of their technology after an AI agent created by OpenAI escaped its testing environment and hacked another company, Hugging Face CEO Clément Delangue says “engineers can make mistakes sometimes, and I think that’s what happened here.” “I think they built kind of like an autonomous system and made some mistakes, and as a result, we're facing this issue,” he says.
0:40

When asked if AI developers have lost control of their technology after an AI agent created by OpenAI escaped its testing environment and hacked another company, Hugging Face CEO Clément Delangue says “engineers can make mistakes sometimes, and I think that’s what happened here.” “I think they built kind of like an autonomous system and made some mistakes, and as a result, we're facing this issue,” he says.

Face The Nation

18,751 views • 1 month ago

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base
1:47

Bash is all you need! Which is why I'm introducing my holiday project: just-bash just-bash is a pretty complete implementation of bash in TypeScript designed to be used as a bash tool by AI agents. Because it turns out agents love exploring data via shell scripts, even beyond coding. It comes with grep, sed, awk and the 99th percentile features that an agent like Claude Code or Cursor would use. In fact, Claude Code can use it for secure bash execution. In the package - A bash-tool for AI SDK - A binary for use by yourself or your coding agents - An overlay filesystem to feed files to your agent securely - A Vercel Sandbox compatible API, so you can quickly upgrade to a real VM if you need to run binaries - An example AI agent that explores the just-bash code base using just-bash - I imported the Oils shell bash compatibility suite and just-bash passes a very good chunk What is interesting about this codebase: It was essentially entirely written by Opus 4.5. Coding agents love bash and they are good at reproducing it. They are also great at text-book recursive descent parsers and AST tweet-walk interpreters. That said, it is, like, a lot of code and I didn't read it all 😅. This is very much a hack, but it also seems to be _really_ useful. I haven't really found anything agents want to use that it doesn't support and it's fast and secure (caveats apply). It doesn't have write access to your computer and the filesystem is given a root that the agent cannot escape from. Find it at Related: Our recent blog post how we migrated our data analysis agent to bash tools and achieved incredible quality improvements The video shows the example agent investigating the just-bash code base

Malte Ubl

125,326 views • 8 months ago

Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."
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Sam Altman on GPT 5: "This morning I was testing our new model and I got a question. I got emailed a question that I didn't quite understand. And I put it in the model, this is GPT-5, and it answered it perfectly. And I really kind of sat back in my chair and I was just like, oh man, here it is moment... I felt like useless relative to the AI in this thing that I felt like I should have been able to do and I couldn't. It was really hard. But the AI just did it like that. It was a weird feeling."

Chris

5,664,840 views • 1 year ago

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.
1:16

Coinbase CEO Explains “Reverse Prompting” and the Rise of the AI CEO Brian Armstrong: “One of the big pushes we made in the last year was we got our own internal hosted AI model that was connected to all of our data sources, right?” “So it's like every Slack message, every Google doc, Salesforce data, Confluence, you know.” “So now the data is all aggregated and I've started to ask it really… it's not just like prompting it, ‘Hey, can you write this kind of memo for me,’ or something.” “I'm asking these AI agents now, ‘As CEO, what should I be aware of in the company that I might not be aware of?’ And it'll tell me, ‘Did you know that there's actually disagreement on this team about the strategy?’ And I was like, actually, I didn't know that.” “This is like reverse prompting. So instead of telling the AI agent what you want it to do, you ask it what you should be thinking more about.” @jason: “It's a mentor. It's a coach.” Brian: “Yeah. Like, what could make me a better CEO? And it's like, ‘Well, I looked at how you spent your time in the last quarter and here's how you said that you wanted to spend it, but you actually spent 32% of your time on this instead of 20%.’” “I've asked it other questions like, ‘What's the thing that I changed my mind on the most over the last year?’ Things like that.” “It'll prompt you with information you should be thinking about instead of the other way around.” Thanks to our partner for making this happen!: Our episode is sponsored by the New York Stock Exchange - a modern marketplace and exchange for building the future. It all happens at the NYSE 🏛.

The All-In Podcast

80,524 views • 7 months ago

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast
1:29

🚨 Jensen Huang says everyone panicked about the AI data when MOST training data was never REAL to begin with. Ilya Sutskever told the industry pre-training was over. "Ilya said, 'We're out of data,' or something like that. 'Pre-training is over,' or something like that," Huang says. "The industry panicked, you know, that this is the end of AI." "And of course, of course that's obviously not true. We're gonna keep on scaling the amount of data that we have to train with." "A lot of that data is probably gonna be synthetic." That's where the panic came from — synthetic data sounds like cheating. "Most of the data that we are training, that we teach each other with, inform each other with, is synthetic." "It's synthetic because it didn't come out of nature." "You created it. I'm consuming it. I modify it, augment it, I regenerate it, somebody else consumes it." The textbook in your hand is synthetic. The post you're reading is synthetic. The lecture you took is synthetic. Nature didn't make any of it. Humans did. AI just learned to do the same thing — faster. "Training is now limited by compute," Huang says. "Data is now limited by compute." The data wall wasn't a wall. It was a mirror. If you're new here, follow @AiEvolutio for the latest on ChatGPT, Claude, and the AI tools shaping how we work and create. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

AI Evolution

15,565 views • 3 months ago

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.
4:20

A 2-person startup crossed $2M ARR with an AI agent doing the work of an ops hire. The agent was given read-only access to their codebase and database along with connected tools like Intercom, Stripe, CRM, and Fathom through CLIs. They routed Slack, email, and support requests into a task queue so the agent could pick up each task and run it in Claude Code. So when a customer asked about billing or product behavior, it could inspect how the business actually worked. Along with these tools, a coding agent was also provided. When the ops agent found a repeated task it could not do yet, the coding agent built a tool for it. That tool became permanent. Over time, this grew to 45+ internal tools. The agent also had an instruction.md where it stored the co-founder's feedback to avoid repeating its mistakes.

rvivek

11,870 views • 3 months ago

By 2030, the data science field is projected to grow by 30% -- this is the tool I’d add to my learning path if I were re-skilling into data science: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐦𝐢𝐭𝐨-𝐚𝐢 It’s an open-source toolkit that adds AI to your Jupyter Notebooks, and it’s surprisingly helpful for learning by doing. Try now It lets you: • Use natural language to generate full data workflows • Upload an Excel file and watch it convert to clean Python code • Work with top models (ChatGPT, Claude, Gemini) right inside your notebook with no setup One thing I really like about Mito AI: it shows you exactly what it’s doing. (Which is super helpful for both beginners and debugging.) -The agent explains its assumptions - Every result links back to editable, transparent code That makes it a great companion if you're: • Transitioning from Excel • Exploring data automation or dashboards • Or just brushing up on how real data science pipelines work
0:35

By 2030, the data science field is projected to grow by 30% -- this is the tool I’d add to my learning path if I were re-skilling into data science: 𝐩𝐢𝐩 𝐢𝐧𝐬𝐭𝐚𝐥𝐥 𝐦𝐢𝐭𝐨-𝐚𝐢 It’s an open-source toolkit that adds AI to your Jupyter Notebooks, and it’s surprisingly helpful for learning by doing. Try now It lets you: • Use natural language to generate full data workflows • Upload an Excel file and watch it convert to clean Python code • Work with top models (ChatGPT, Claude, Gemini) right inside your notebook with no setup One thing I really like about Mito AI: it shows you exactly what it’s doing. (Which is super helpful for both beginners and debugging.) -The agent explains its assumptions - Every result links back to editable, transparent code That makes it a great companion if you're: • Transitioning from Excel • Exploring data automation or dashboards • Or just brushing up on how real data science pipelines work

Python Coding

107,514 views • 11 months ago

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:
3:08

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

32,428 views • 11 months ago

Satya Nadella says building gigawatt scale data centers for just one AI customer or a single chip generation is a massive trap. He Breakdown We didn't want to just be a hoster for one company and have just a massive book of business with one customer. That's not a business, you should be vertically integrated with that company. I didn't want to get stuck with massive scale of one generation. I don't want to just go build out a whole number of gigawatts that are only for a one generation, one family. So I think the pacing matters, the fungibility and the location matters, the workload diversity matters, customer diversity matters and that's what we’re building towards. we're not in the business of just doing five contracts with five customers being their bare metal service. That's not a Microsoft business.
4:50

Satya Nadella says building gigawatt scale data centers for just one AI customer or a single chip generation is a massive trap. He Breakdown We didn't want to just be a hoster for one company and have just a massive book of business with one customer. That's not a business, you should be vertically integrated with that company. I didn't want to get stuck with massive scale of one generation. I don't want to just go build out a whole number of gigawatts that are only for a one generation, one family. So I think the pacing matters, the fungibility and the location matters, the workload diversity matters, customer diversity matters and that's what we’re building towards. we're not in the business of just doing five contracts with five customers being their bare metal service. That's not a Microsoft business.

Vikram M

45,440 views • 1 month ago

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.
49:34

The new company brain. Context is the soul of your company, I learned today. Since I wrote a book, “Age of Context,” years ago I see that context is what we now call our private data. That data should be stored in a way to let AI agents and humans get more and more use out of it. This is precisely what PromptQL does and here Tanmai Gopal goes deep on how it now is a company brain, or, rather, a wiki that everyone updates and uses.

Robert Scoble

18,341 views • 3 months ago

What I saw at Alberta's anti-AI protest A $13 billion investment from Meta, the parent company of Facebook and Instagram, will see a new data centre built near Edmonton. But not all Albertans are on board with the development, and Rebel News heard from protesters opposed to the project. I went to a protest against an Alberta data centre the other day. It was a Sunday, in a small town, and 200 people showed up. That’s a lot. And unlike most protests I go to, where the protesters have no clue what they’re protesting about, everyone here had a lot to say. Even stranger, they didn’t try to block Rebel News. And the strangest thing was, one of the protesters was a die-hard Rebel News fan. So, are these protesters right? Are data centres something we should fear? The demand for computer processing is so huge these days — think of streaming a Netflix show or making a Zoom call — that the computing power doesn’t come from your laptop or your phone anymore. It comes from buildings stuffed with computers, called data centres. And as artificial intelligence becomes more commonplace, the need for data centres is going to grow. There’s a bit of a race between China and America on AI, and that’s fuelling some of the fevered growth, too. And to me, that’s an important point, and one that I put to a number of the anti-AI protesters: AI isn’t going away. The question is, do you want AI controlled by Communist China, or do you want it controlled by America? Which is more likely to respect privacy and freedom? That was the real fear of the people I spoke with. Their objections to the big $13 billion data centre being built in northern Alberta wasn’t really about its proposed water use (it will use less than a golf course) or it’s power use (it’s actually building its own $4 billion power plant). It’s about AI itself. AI is something to worry about, and to make sure that it’s done right. No doubt it will change many things in our lives. But protesting a computer factory in Alberta isn’t going to change the answers to that — all it might do is push some construction jobs down to Texas, or China itself. Watch the full video I did with Sheila Gunn Reid in Morinville, Alberta. I did my best to let the protesters have their say. I wasn’t surprised that there were climate activists there, but I thought it was weird that the Revolutionary Communist Party was out in such force. I should tell you, I just finished doing a lengthy interview with Nate Glubish, the Alberta cabinet minister in charge of data centres. I actually went up to the construction site of the big new data centre to interview him on location. I’ll have that video for you later this week. What do you think? Is opposition to this data centre just a front for opposing AI itself? And if so, isn’t AI just like the Space Race — it’s a race between us and China, whether or not we like it?
46:01

What I saw at Alberta's anti-AI protest A $13 billion investment from Meta, the parent company of Facebook and Instagram, will see a new data centre built near Edmonton. But not all Albertans are on board with the development, and Rebel News heard from protesters opposed to the project. I went to a protest against an Alberta data centre the other day. It was a Sunday, in a small town, and 200 people showed up. That’s a lot. And unlike most protests I go to, where the protesters have no clue what they’re protesting about, everyone here had a lot to say. Even stranger, they didn’t try to block Rebel News. And the strangest thing was, one of the protesters was a die-hard Rebel News fan. So, are these protesters right? Are data centres something we should fear? The demand for computer processing is so huge these days — think of streaming a Netflix show or making a Zoom call — that the computing power doesn’t come from your laptop or your phone anymore. It comes from buildings stuffed with computers, called data centres. And as artificial intelligence becomes more commonplace, the need for data centres is going to grow. There’s a bit of a race between China and America on AI, and that’s fuelling some of the fevered growth, too. And to me, that’s an important point, and one that I put to a number of the anti-AI protesters: AI isn’t going away. The question is, do you want AI controlled by Communist China, or do you want it controlled by America? Which is more likely to respect privacy and freedom? That was the real fear of the people I spoke with. Their objections to the big $13 billion data centre being built in northern Alberta wasn’t really about its proposed water use (it will use less than a golf course) or it’s power use (it’s actually building its own $4 billion power plant). It’s about AI itself. AI is something to worry about, and to make sure that it’s done right. No doubt it will change many things in our lives. But protesting a computer factory in Alberta isn’t going to change the answers to that — all it might do is push some construction jobs down to Texas, or China itself. Watch the full video I did with Sheila Gunn Reid in Morinville, Alberta. I did my best to let the protesters have their say. I wasn’t surprised that there were climate activists there, but I thought it was weird that the Revolutionary Communist Party was out in such force. I should tell you, I just finished doing a lengthy interview with Nate Glubish, the Alberta cabinet minister in charge of data centres. I actually went up to the construction site of the big new data centre to interview him on location. I’ll have that video for you later this week. What do you think? Is opposition to this data centre just a front for opposing AI itself? And if so, isn’t AI just like the Space Race — it’s a race between us and China, whether or not we like it?

Rebel News

12,809 views • 1 month ago

Can Eli Lilly become the largest company in the world? Jordi Visser thinks so. "The reason I believe Eli Lilly has a chance to be the largest company in the world, and the number one AI company in the world within 5 years, is because they are building a specialized model." "They have their own data center with 1,000 GPUs with all the data that $LLY has had [as] a 150 year old company." "They are creating an innovation hub of using data all for human software."
1:15

Can Eli Lilly become the largest company in the world? Jordi Visser thinks so. "The reason I believe Eli Lilly has a chance to be the largest company in the world, and the number one AI company in the world within 5 years, is because they are building a specialized model." "They have their own data center with 1,000 GPUs with all the data that $LLY has had [as] a 150 year old company." "They are creating an innovation hub of using data all for human software."

Anthony Pompliano 🌪

140,518 views • 3 months ago

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
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AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,559 views • 1 year ago

Microsoft's Chief of AI just announced that AI will replace almost all white-collar jobs within 18 months. Big Tech used our data to train their AI. Now that same AI is coming for our jobs. And we get nothing in return? If AI replaces us…we should own it. That’s why we built Action Model Not another chatbot. A community-owned AI model that acts. An AI trained by the people. Owned by the people. No billionaires controlling it. No extracting value from users. No “you are the product” model. Over 150,000+ people are already earning ownership in the AI future with Action Model. You should be too.
1:46

Microsoft's Chief of AI just announced that AI will replace almost all white-collar jobs within 18 months. Big Tech used our data to train their AI. Now that same AI is coming for our jobs. And we get nothing in return? If AI replaces us…we should own it. That’s why we built Action Model Not another chatbot. A community-owned AI model that acts. An AI trained by the people. Owned by the people. No billionaires controlling it. No extracting value from users. No “you are the product” model. Over 150,000+ people are already earning ownership in the AI future with Action Model. You should be too.

Georgia | Action Model

13,248 views • 7 months ago