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Gen-Z volunteers are fighting back. 🔥 Volunteer built counter-site is debunking BJP’s baseless, AI-slop Jhooth Ki Goonj with sources, data and evidence. GenZ isn’t buying the propaganda GenZ stands with Rahul Gandhi💪🏻 🔗

32,279 görüntüleme • 12 gün önce •via X (Twitter)

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What does success really mean in today’s world? Why does Gen Z feel so overwhelmed, lost, anxious and constantly pressured to “figure life out”? In this deeply honest conversation, Ankur Warikoo(Ankur Warikoo) sits down with a group of young people from different backgrounds to talk about: - Overthinking - Relationships - Money & financial pressure - Validation - Purpose - Boundaries - Self-confidence - Social media influence - Buying a house - Career confusion - Authenticity - Finding yourself in a hyper-connected world From discussing why relationships matter more than success… to why most people are trapped by money and societal expectations… to how small promises to yourself can completely change your life — this is one of Ankur’s most raw and reflective conversations yet. Some powerful ideas explored in this episode: - “You cannot win people without losing yourself.” - Why saying NO is so difficult - Why Gen Z struggles with overthinking - The difference between possibility vs probability - Why buying freedom matters more than buying things - Why you don’t need to own a house early in life - How to stop seeking validation - How to build self-respect through tiny promises - Why your algorithm becomes your reality If you’ve ever felt confused about life, money, relationships or your future — this conversation is for you. #AnkurWarikoo #GenZ #SelfGrowth #Money #Relationships #Overthinking #PersonalFinance #MentalHealth #SelfImprovement #DeKoder

DeKoder

38,098 görüntüleme • 3 ay önce

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.

Akshay 🚀

40,562 görüntüleme • 6 ay önce

I just built an AI agent that’s 10x smarter than anything using basic search APIs. Here’s what nobody’s telling you about AI development right now. Most developers are stuck using limited search APIs. They’re missing social media data, forums, live news, and answer engines. Their AI is effectively blind to 90% of the public web. The result: Stale data. Weak responses. And endless engineering overhead just to stitch everything together. What changed everything for me was Bright Data’s Web Discovery platform. Instead of juggling multiple APIs and unreliable sources, I got real-time access to every public data source through one unified API. Google. Bing. Twitter. Reddit. Instagram. TikTok. ChatGPT. Perplexity. Even historical web archives going back years. Here’s why this actually matters in practice: • One API instead of 10+ fragmented integrations • Real-time, constantly refreshed public web data • Coverage across search engines, social platforms, forums, and answer engines • Consistent data structure that just works • Way less time fighting data plumbing, way more time building intelligence I used it to build a real-time pricing monitor that tracks competitor pricing, social sentiment, and trending topics at the same time. Something that would’ve taken weeks of integration work happened in a single afternoon. The real breakthrough isn’t just access. It’s consistency. Reliability. And freedom. If you’re building search agents, RAG pipelines, or any AI-driven product, you’re handicapping yourself without comprehensive web data. Check the link in the comments to try it yourself. They’re offering trial credits, and the documentation is actually solid. This is the difference between AI products that work and AI products that dominate. Check it out here:

Hasan Toor

100,511 görüntüleme • 7 ay önce

Larry Ellison just told every AI company on Earth they’re fighting the wrong war. The entire industry is racing to build the smartest model. More parameters. Better benchmarks. Faster inference. Ellison isn’t building a model. He’s controlling what every model needs to be useful. Every frontier AI trains on the same public internet. Same scraped pages. Same recycled text. When everyone has the same data, it’s not an advantage. It’s a floor. The only data that creates separation is private. Medical records. Financial models. Defense systems. Proprietary research locked behind firewalls for decades. That data already lives inside Oracle databases. Not Google’s. Not Microsoft’s. Not Amazon’s. Ellison didn’t enter the model war. He positioned himself above it. He rebuilt the database so AI can reason on private data without ever absorbing it. Training folds your data into the model permanently. Once it’s in, it never comes back out. Reasoning thinks with your data and hands back only the answer. The data never moves. One is surrender. The other is sovereignty. Ellison: “These are remarkable electronic brains.” He didn’t build the brain. He owns what the brain needs to think. Everyone is building the most powerful mind in human history. A mind is only as valuable as what it’s allowed to know. Own the knowledge and it doesn’t matter who builds the brain. That pattern has held through every era of human civilization. AI doesn’t break it. It proves it.

Dustin

97,904 görüntüleme • 2 ay önce

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 görüntüleme • 25 gün önce