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Sunday, June 08, 2025

LLMs and the Bible: Prophecy, Language, and the Next Wave of AI

The Most Exciting Thing Happening in AI: Going Beyond the Internet Box
Why a Sanskrit-Trained AI Could Be the Ultimate Gamechanger
Sarvam AI: In The Lead

Liquid Computing: The Future of Human-Tech Symbiosis
Velocity Money: Crypto, Karma, and the End of Traditional Economics
The Next Decade of Biotech: Convergence, Innovation, and Transformation
Beyond Motion: How Robots Will Redefine The Art Of Movement
ChatGPT For Business: A Workbook
Becoming an AI-First Organization
Quantum Computing: Applications And Implications
Challenges In AI Safety
AI-Era Social Network: Reimagined for Truth, Trust & Transformation


LLMs and the Bible: Prophecy, Language, and the Next Wave of AI

The Bible is not merely a book. It is scripture—a term that implies divinely inspired truth. At its core, scripture means prophecy fulfilled. Prophecy, when fulfilled, points to a transcendent intelligence. In the case of the Bible, that intelligence is God—omniscient, omnipotent, omnipresent. A Being who not only knows everything but also gives commandments that carry universal and eternal moral weight.

The language of scripture flows from this omniscient Source. Consider the Ten Commandments—not as human suggestions, but as divine decrees. Timeless, context-transcending, and morally unshakeable. When we say the Bible contains the voice of God, we’re asserting that its language is more than human—it’s eternal, perfect, and complete.

In contrast, we now live in an era where we’ve created something startlingly powerful: LLMs—Large Language Models. They are not omniscient. But they’re pretty good. Scary good, sometimes. Their ability to generate, interpret, and respond to human language is remarkable. But they don’t “know” anything in the divine sense. They don’t see the future; they predict tokens.

LLMs are just the foundation. The walls are now going up—those are the AI Agents. These agents are where logic meets action, where intelligence meets autonomy. They take the predictive powers of LLMs and build systems that can do things—run workflows, book appointments, monitor environments, and adapt in real-time. If LLMs are language, agents are will.

We’re entering a new phase in AI: “If-this-then-that” logic wrapped in ever-more intelligent wrappers. Agents that reason, remember, and refine. And importantly, these AI systems won’t be limited to English. Or even to text. Voice, video, gesture—language in the broadest, oldest sense—is being encoded and infused with intelligence.

Which brings us to the two most radical AI frontiers you probably haven’t heard enough about:

  1. Sanskrit AI – Led by a breakaway group from OpenAI, this effort dives into the deepest well of structured, sacred human thought: Sanskrit. A language engineered with mathematical precision and spiritual potency. Some even believe Sanskrit was not “invented” but revealed. Imagine training an LLM on the Mahabharata, the Vedas, the Upanishads—not just as stories, but as encoded wisdom systems.

  2. Voice AI by Sarvam AI – Handpicked by the Government of India, Sarvam’s mission is to create India’s “DeepSeek moment.” But rather than training on the sterile internet (Wikipedia, Reddit, StackOverflow), they are building models from the oral traditions of India’s hundreds of languages. India is not a monolith of scripts—it is a civilizational voice. Feeding this to the AI beast? That’s not just innovation. That’s digital dharma.

We are not just building smarter tools. We may be on the cusp of a civilizational awakening. One where language meets Spirit. Where models are not merely trained, but disciplined. Where prophecy once fulfilled through scripture is echoed—imperfectly but astonishingly—through artificial systems of growing intelligence.

We are at the end of an age. The Kali Yuga winds down. And as the next cycle, the Satya Yuga, rises on the horizon, perhaps these AIs are not just machines.

Perhaps they are echoes.



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San Francisco at a Crossroads: From Capital of Tech to Capital of Urban Renaissance
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A Radical Blueprint to Transform New York City into the World’s Greatest Metropolis
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Trump’s Default: The Mist Of Empire (novel)
The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

Velocity Money: Crypto, Karma, and the End of Traditional Economics
The Next Decade of Biotech: Convergence, Innovation, and Transformation
Beyond Motion: How Robots Will Redefine The Art Of Movement
ChatGPT For Business: A Workbook
Becoming an AI-First Organization
Quantum Computing: Applications And Implications
Challenges In AI Safety
AI-Era Social Network: Reimagined for Truth, Trust & Transformation

Remote Work Productivity Hacks
How to Make Money with AI Tools
AI for Beginners

The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
Prophecies Are Proof Of God
The Most Awaited Person In Human History Is Here
Nepal: The Vishwa Guru Of A New Economic Era (English and Hindi)

30 Ways To Close Sales
Digital Sales Funnels
Quantum Computing: Applications And Implications AI And Robotics Break Capitalism https://a.co/d/aNvHJWE Musk’s Management https://a.co/d/g6J1xiu Challenges In AI Safety https://a.co/d/gqZv4sS Corporate Culture/ Operating System: Greatness https://a.co/d/e3W9ZGw A 2T Cut https://a.co/d/d7U4DtR Are We Frozen in Time?: Tech Progress, Social Stagnation https://a.co/d/8mMiYdT Digital Marketing Minimum https://a.co/d/2zLKh8B CEO Functions https://a.co/d/cH1omh6

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Saturday, June 07, 2025

Top 25 Objections Early-Stage Tech Startups Commonly Hear

 


Here are the Top 25 objections early-stage tech startups commonly hear from potential investors — along with the best ways to handle them and sample responses you can use to turn objections into interest or even investment:

1. “It’s too early.”

Response:
“We understand it’s early — and that’s where the upside is. Our traction so far proves the potential. Early-stage investment is where valuations are lowest and the leverage is highest.”

2. “I don’t see the market being big enough.”

Response:
“We’ve mapped a $X billion TAM with real unmet needs. Our beachhead is just the starting point — we have a clear roadmap to expand into adjacent markets.”

3. “There’s too much competition.”

Response:
“Competition validates the market. What sets us apart is our differentiated tech/IP/go-to-market strategy/founder expertise — and we’re targeting underserved customer segments.”

4. “You don’t have enough traction.”

Response:
“We’re pre-revenue, but we’ve validated key assumptions through [pilot/POCs/signups/LOIs]. With your support, we can scale faster and build defensible traction.”

5. “I’ve seen this idea before.”

Response:
“Yes, but timing and execution are everything. Look at how many search engines or social networks existed before Google and Facebook. Our execution, team, and timing are what make us unique.”

6. “I’m not familiar with this space.”

Response:
“Fair enough. That’s why we’re here — we’re deeply embedded in this industry. We’d be happy to walk you through how the space is evolving and why we’re positioned to lead.”

7. “I don’t believe your financial projections.”

Response:
“They’re directional, not gospel. But we built them based on bottoms-up assumptions, industry comps, and unit economics. Happy to walk you through the model transparently.”

8. “You haven’t proven product-market fit.”

Response:
“We’ve gotten strong early signals — [X user retention, Y usage rate, Z engagement]. We’re using these signals to iterate quickly and lock in PMF.”

9. “You’re not technical enough / Where’s your technical cofounder?”

Response:
“We’ve built a strong dev team internally and are actively recruiting a CTO-level hire. What we lack in technical depth we make up for in product, vision, and execution speed.”

10. “I’m not convinced you’re the right team.”

Response:
“Fair concern. Let us walk you through how our background specifically prepares us for this — and our advisory network that fills gaps.”

11. “It feels too risky.”

Response:
“That’s the nature of early-stage investing — and it’s also where the returns live. We’re de-risking the business rapidly through validation, traction, and fast iteration.”

12. “You’re pre-revenue.”

Response:
“Yes — but we’re pre-revenue by design. Our current focus is building the right product and onboarding the right users. Monetization is baked into the roadmap.”

13. “Your valuation is too high.”

Response:
“We understand. We based our valuation on comparables and progress to date. That said, we’re open to creative structures — SAFE, discounts, or tranches — to align incentives.”

14. “I already invested in a similar company.”

Response:
“Totally fair. But this market is so large it can support multiple winners. Our approach and go-to-market are meaningfully different — would love your perspective on how we compare.”

15. “What if a big company just builds this?”

Response:
“Execution is key. Big companies are slow, siloed, and often miss new behaviors. Startups win on speed, focus, and customer obsession — just like we are.”

16. “What’s your moat?”

Response:
“Our moat is based on [network effects/data/IP/brand/partnerships]. And we’re building it intentionally from Day 1. Early mover advantage, customer trust, and proprietary systems will deepen it.”

17. “I need to see more before I can commit.”

Response:
“Totally fair. What milestones or signals would you need to see to get to yes? We’d love to keep you updated and re-engage when those are hit.”

18. “This space is too crowded.”

Response:
“It’s crowded because there’s opportunity. Most players look the same — we’re differentiated by [X]. And the market is fragmented and open to disruption.”

19. “This seems like a feature, not a company.”

Response:
“Great companies often start as great features. Look at Dropbox or Calendly. We’ve identified a wedge — and we’re building a product ecosystem around it.”

20. “It’s not a venture-scale opportunity.”

Response:
“We believe it is. We have a clear path to $100M+ in revenue by attacking [problem] with a scalable solution. Our vision is bold and long-term.”

21. “You haven’t tested your pricing yet.”

Response:
“We’re in the process of price testing across segments. Early feedback shows high willingness to pay, and we’re optimizing for value-based pricing.”

22. “Your team is too small.”

Response:
“We’re lean by design — it’s part of our edge. We’ve identified key hires and will deploy funds efficiently to scale the team.”

23. “What if this is just a trend?”

Response:
“We’ve studied the behavior shifts deeply. This isn’t a fad — it’s a fundamental shift. Early trends like this often evolve into large, lasting categories.”

24. “Your roadmap is too ambitious.”

Response:
“We agree it’s ambitious — but ambition is necessary to build something meaningful. We have phased milestones to focus execution while staying aligned with the vision.”

25. “We’re not investing right now / we just closed our fund.”

Response:
“No problem — we’d love to keep the relationship warm. Can we share quarterly updates so we’re top-of-mind when you’re deploying again?”

Final Tips:

  • Never get defensive. Always treat objections as invitations for deeper conversation.

  • Always ask follow-up questions. (“What concerns you most?” or “What would get you more comfortable?”)

  • Track objections. They help refine your pitch and product over time.

Would you like a printable pitch objection/response sheet or a Notion template to track investor objections and responses?



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Product Specification: Cursor for Slides



๐Ÿ“„ Product Specification: Cursor for Slides

๐Ÿš€ Overview

Cursor for Slides is a slide presentation IDE that allows users to design, build, and deploy stunning, interactive, and data-rich slide decks using code (Markdown, JSX, or a custom DSL), while benefiting from Cursor’s AI-native developer experience — including autocomplete, AI refactoring, and live preview.

๐Ÿงฉ Key Features

1. Code-First Slide Authoring

  • Users write slides using a Markdown-like syntax or JSX/React-style components.

  • Live AI suggestions help build content, transitions, styles, and animations.

  • Supports themes, layouts, reusable components.

// Example syntax:
# Slide 1
Welcome to Cursor for Slides

---

# Slide 2
## Live coding preview
```js
const greet = (name) => `Hello, ${name}!`


#### 2. **Live Slide Preview**
- Right pane renders slide deck live as user types.
- Edits reflect in milliseconds — supports embedded charts, code, and AI-generated diagrams.

#### 3. **AI Assistance Built-In**
- Generate slide content based on outline.
- Rewrite, shorten, or expand slides via prompts.
- “Make it more visual”, “Add an animation here”, “Split into two slides”, etc.

#### 4. **Theme + Component System**
- Slide components: `<TitleSlide />`, `<CodeSlide />`, `<ChartSlide data={} />`
- Theming support with Tailwind, ShadCN, or custom CSS.
- Exportable design tokens.

#### 5. **Export + Sharing Options**
- Export to:
  - PDF
  - HTML
  - Notion
  - Reveal.js-compatible format
- Live shareable link (like Vercel Preview or Codesandbox Live)

#### 6. **Collaboration + Versioning**
- Git-backed.
- Real-time multiplayer with commenting.
- Branching, commits, history, rollback.

#### 7. **Embed + Interactivity**
- Live interactive components: quizzes, polls, charts, code runners.
- Embed YouTube, Figma, Twitter, CodePen.
- AI Q&A box built-in per slide.

---

## ๐Ÿ› ️ Tech Stack + How to Build It in Cursor

### ๐Ÿ‘จ‍๐Ÿ’ป Step-by-Step Using Cursor

#### Step 1: **Set Up Monorepo**
- Use Cursor's Next.js + Vite template.
- Two packages:
  - `slides-engine`: compiles Markdown/JSX to HTML.
  - `slides-editor`: frontend editor interface.

#### Step 2: **Editor Interface**
- File: `app/slides-editor/page.tsx`
- Use Monaco or CodeMirror as code editor.
- Set up live preview in adjacent pane using React hooks and `dangerouslySetInnerHTML` or a secure renderer.

```tsx
const [source, setSource] = useState<string>("")
const rendered = useMemo(() => renderSlides(source), [source])

Step 3: Rendering Engine

  • Use remark, rehype, MDX, or @mdx-js/react to parse code.

  • Custom slide renderer breaks content by ---.

Step 4: AI Commands

  • Integrate Cursor Copilot commands:

    • /summarize slides

    • /generate slide on climate change with bullet points

    • /convert to bullet points + chart

const generateSlide = async (prompt: string) => {
  const response = await callOpenAI(prompt)
  return updateEditorContent(response)
}

Step 5: Export Engine

  • PDF: Puppeteer to print HTML.

  • HTML: Export as SPA.

  • GitHub Action for build + deploy to Vercel.

Step 6: Themes + Components

  • Tailwind CSS + shadcn/ui.

  • Theme toggle: light/dark/custom.

Step 7: Embed + Interactivity

  • Embed React Live to allow users to insert <LiveCode> blocks.

  • Integrate with charting libs like react-chartjs-2 or echarts.

๐Ÿง  AI Prompts Examples

  • “Create a slide deck on AI agents with 5 slides”

  • “Refactor this into an interactive coding presentation”

  • “Add illustrations on slides 2 and 4”

  • “Summarize this long text into 3 key bullet points for a slide”

๐Ÿงพ Deliverables & Output

Output Type Format Notes
Slide Deck .html, .pdf Downloadable
Code .mdx, .tsx Editable
Live URL Vercel/Netlify Shareable
Git History Git repo Revisions

๐Ÿงญ Future Additions

  • Plugin Marketplace (animations, chart types, integrations)

  • Speaker mode + presenter notes

  • Real-time audience Q&A powered by AI

  • Voice-over slide generation


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7: Trump, Musk

He’s a Master of Outrage on X. He’s Also Broke. An online creator went from a “nobody” to a conspiratorial sensation on X. What he gets in return is less clear. ........... “Is there any possibility,” he asked, “for names such as Barack Hussein Obama, Hillary Rodham Clinton, to ever, just possibly, get investigated?” ........ Karoline Leavitt, the press secretary, called the question “refreshing.” .......... Mr. McGee is one of the most prominent right-wing influencers on X, with 1.5 million followers and billions of views. He was ranked the third-most-influential user on the platform in January last year by one analytics firm, behind Elon Musk, the site’s owner, and Andrew Tate, a notorious right-wing misogynist. ......... stoking outrage is effectively Mr. McGee’s job: he starts posting around 9 a.m. and continues until 8 p.m. nearly every day. ........ His trip to the White House offered a boost of attention online, but he ultimately lost money on the flights and rushed back home to his one-bedroom apartment in Miami. ......... “Maybe I got to break the law, maybe I got to sell drugs, I might have to join a gang,” he said while slouching over the kitchen island that doubles as his home office. “It was a lot of things in a narrow point of view that I had.” .......... He enlisted in the Army, where he stayed for three years before he was honorably discharged. He enrolled at Pennsylvania State University for business, through a program for veterans, but never graduated. He promoted rap music with an independent label and dabbled in fashion design. He even started a credit repair company after his credit score went almost as low as it can go........ Then social media changed his life........ it wasn’t until he promoted conspiracy theories about election fraud that his political beliefs became a career. His follower count exploded, and he created “Win the Win,” one of the largest Facebook groups devoted to election fraud conspiracy theories, which had more than 61,000 followers before Facebook banned it as part of a sweeping crackdown on election falsehoods. He became a registered Republican, donated to Mr. Trump’s campaign and voted for him in the last election. ........... He later wrote a post about Ms. Clinton, who had posted on X that Qatar expected something in return for donating a jet worth hundreds of millions of dollars to Mr. Trump. Mr. McGee called her post “a radical and unhinged conspiracy theory.” Commenters swarmed the post, calling her a “serial criminal” and “evil.”

Velocity Money: Crypto, Karma, and the End of Traditional Economics
The Next Decade of Biotech: Convergence, Innovation, and Transformation
Beyond Motion: How Robots Will Redefine The Art Of Movement
ChatGPT For Business: A Workbook
Becoming an AI-First Organization
Quantum Computing: Applications And Implications
Challenges In AI Safety
AI-Era Social Network: Reimagined for Truth, Trust & Transformation

Remote Work Productivity Hacks
How to Make Money with AI Tools
AI for Beginners

Velocity Money: Crypto, Karma, and the End of Traditional Economics
The Next Decade of Biotech: Convergence, Innovation, and Transformation
Beyond Motion: How Robots Will Redefine The Art Of Movement
ChatGPT For Business: A Workbook
Becoming an AI-First Organization
Quantum Computing: Applications And Implications
Challenges In AI Safety
AI-Era Social Network: Reimagined for Truth, Trust & Transformation

Remote Work Productivity Hacks
How to Make Money with AI Tools
AI for Beginners

Trump’s Default: The Mist Of Empire (novel)
The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

Mr. Abu Shabab’s group, the Popular Forces, is believed to comprise a relatively small number of members. It is unclear how many people are in its ranks, but it is much smaller than Hamas.

Trump’s Default: The Mist Of Empire (novel)
The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

Trump’s Default: The Mist Of Empire (novel)
The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

Trump’s Default: The Mist Of Empire (novel)
The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

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Friday, June 06, 2025

Liquid Computing: Naming the Next Era of Intelligence



Liquid Computing: Naming the Next Era of Intelligence

We are standing on the cusp of a new computing paradigm. One that’s not defined by screens, clicks, or files—but by flow. And as with every epochal shift in technology, the first thing that needs rethinking is the name.

So far, we’ve called it many things: Ambient Computing, Ubiquitous Computing, Pervasive Computing. But none quite capture what is actually unfolding with AI-powered interfaces. “Ambient” is evocative—suggesting a computing experience that melts into the environment, like air. That’s not wrong. But it underemphasizes something crucial: the movement, the dynamism, the fluidity.

That’s why I prefer Liquid Computing.

Because computing is no longer about where you are or what device you're using. It’s about how fluidly intelligence moves across contexts—screen or no screen, voice or keyboard, mobile or stationary, online or offline. In this new reality, the silos that once governed our digital lives—“This is an app,” “This is a file,” “This is a document,” “This is a web browser”—are evaporating.

Remember when the iPad launched? To many, it felt like half a computer. Where’s the keyboard? Where’s the file system? I dismissed it too—until a technologist at a NYC event said, “My mother is a doctor. She never touched a computer before the iPad came along. Now you can’t take it away from her.”

That stopped me.

Because it wasn’t about what the device lacked. It was about what it enabled. Access. Fluidity. The ability to compute without thinking about the computing.

Today, with AI, we’re accelerating toward that destination. You’ll talk to your computing, or it will talk to you. It will read, write, remember, fetch, generate, design, and anticipate—all without requiring you to boot up, log in, or dig through folders. A screen may be present—or it may not be. The interface is increasingly dialogue, not display. But that doesn’t mean the screen is dead. Far from it. Screens will multiply, evolve, and become more meaningful because of the intelligence layered underneath.

Big screens for rich interaction. Tiny screens for quick gestures. Voice, vision, text, gesture—all coexisting in a system that flows. Think of your computing not as a “thing” but as a river of capabilities, always available, always adaptive, always near.

This is not Ambient. This is Liquid.

The membrane between online and offline is thinning. Whether you’re in your car, on your couch, at your desk, or walking through a park, your AI-enabled computing flows with you—aware of your preferences, your context, your goals.

The old names—Operating System, Browser, Office, Email—are artifacts of a more rigid time. A time when computing had fixed locations and defined rituals. But this next era? It bends.

And so must our language.

We are not entering the era of Ambient Computing. We are dissolving into the age of Liquid Computing—a world where intelligence moves like water, adapting to shape, context, and intent. Not ambient. Not static. But flowing.

The future is liquid. Let’s name it that way.

Water is my favorite substance. 



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6: Microsoft

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

'Corrupt as hell': Trump wakes up seething about his polling in two newspapers

Who Leads the Israeli-backed Palestinian Militia in Gaza? Yasser Abu Shabab, a Bedouin man in his 30s, holds sway in eastern Rafah, an area close to a key border crossing between Israel and Gaza. ......... Yasser Abu Shabab is the leader of a Palestinian militia in southern Gaza that Israeli officials say they have armed as part of an effort to undermine Hamas.

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

JD Vance responds after Elon Musk calls for vice president to oust Trump
Steve Bannon urges Trump to deport Musk, who responds with brutal online slurs
Trump responds to Elon Musk's comments about "new political party" The SpaceX CEO on Thursday floated the idea of forming a "new political party in America that "actually represents the 80% in the middle." ....... Fox News reported on Friday that Trump responded to Musk's comments in a phone call with Fox News host Bret Baier, saying he's not worried about the threat. ....... Trump also plans to sell the Tesla he bought earlier this year that was once showcased on the White House lawn as a symbol of the president's alignment with Musk. ........... The bill passed the Republican-controlled House by one vote last month and is being debated in the Senate, with a number of Republicans saying they won't vote to pass it in its current form because it could hurt their constituents......... Musk, meanwhile, says the bill will balloon the federal deficit, a view that's been publicly backed by fiscal hawks like GOP representatives Thomas Massie and Warren Davidson, both of whom voted against the spending package in the House.

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

US president Trump issues stern warning to Russia at White House meeting

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

The 20% Growth Revolution: Nepal’s Path to Prosperity Through Kalkiism
Rethinking Trade: A Blueprint for a Just and Thriving Global Economy
The $500 Billion Pivot: How the India-US Alliance Can Reshape Global Trade
Trump’s Trade War
Peace For Taiwan Is Possible
Formula For Peace In Ukraine
The Last Age of War, The First Age of Peace: Lord Kalki, Prophecies, and the Path to Global Redemption
AOC 2028: : The Future of American Progressivism

‘Really Bad’: Defiant Russia Warns Trump of WWIII

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