Pages

Showing posts with label Aravind Srinivas. Show all posts
Showing posts with label Aravind Srinivas. Show all posts

Thursday, July 03, 2025

3: Aravind Srinivas

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

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

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

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

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

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

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

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

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

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

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

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

at No comments:
Labels: ,

Thursday, June 26, 2025

Why Apple-Perplexity Merger Would Be Nearly Impossible (And Maybe a Mistake)



Why Apple-Perplexity Merger Would Be Nearly Impossible (And Maybe a Mistake)

In the history of tech, a few near-miss acquisition stories have become legend. Yahoo passed on buying Google for $1 million. Years later, it tried to buy Facebook for $1 billion. Facebook, wisely, said no. Had it said yes, Facebook likely wouldn’t exist today as we know it. Big fish don’t always know what to do with the more nimble, visionary minnows they try to swallow.

Now, a similar narrative is taking shape—only this time, the stakes are far higher. Rumors or speculation around Apple acquiring Perplexity AI—for a price that could top $200 billion—are swirling among analysts and insiders. But even if Apple could afford it, the real question is: Should it?

The answer, on multiple fronts, is likely no.

1. Mismatch of Cultures and Visions

Apple is a design-first, hardware-dominated, tightly integrated ecosystem company. Its product lifecycles are measured in years. Its DNA is secrecy, perfectionism, and control.

Perplexity, on the other hand, is a high-speed AI-native startup. Its core value lies in openness, information flow, and decentralization. It's building something more akin to an AI-infused, real-time knowledge engine for the internet. It iterates rapidly and is redefining what search, learning, and even cognition look like in a post-Google era.

Merging these two would be like trying to graft a hummingbird's wings onto an elephant. Even if the elephant pays $200 billion for those wings, it still won’t fly.

2. AI Breaks Silos — Apple Reinforces Them

AI-native companies like Perplexity aim to dissolve traditional silos—between apps, between knowledge domains, between user and machine. In contrast, Apple thrives by maintaining carefully walled gardens. From the App Store to iCloud to iMessage, Apple monetizes control.

That fundamental misalignment would make integration difficult, if not self-destructive.

An AI like Perplexity wants to answer everything, connect everything, go everywhere. Apple wants everything to go through Apple.

3. Without Leadership Transfer, It’s DOA

Let’s imagine Apple does buy Perplexity for $200 billion. If it doesn’t hand over a significant degree of operational autonomy—or better yet, elevate the Perplexity CEO to a top Apple leadership role—then it risks smothering the very magic it paid for.

You can’t buy vision, and you certainly can’t tame it. If Perplexity is absorbed into Apple as just another feature, like Siri once was, it will go the way of MySpace after its acquisition—stagnant and irrelevant. The deal would only make sense if Apple were ready to transform itself into an AI-native company and let Perplexity lead that transformation. But there's no indication Apple is even thinking that way.

4. Timing and Trajectory Matter

When Yahoo tried to buy Facebook, it was still the dominant portal. Facebook was growing but still small. Today, Perplexity is on the rise. It’s not a mature, stagnant startup looking for an exit. It's at the early stages of a trajectory that could reshape how we interact with knowledge entirely.

Selling to Apple now would cap its potential—both in market value and world impact. $200 billion may look tempting, but in the AI era, platforms that become the new internet interface might be worth trillions.

Why sell to a hardware company whose AI track record is—let’s be honest—lackluster?

Conclusion: Some Marriages Just Shouldn't Happen

The potential Perplexity brings to the table is too important, too expansive, and too transformative to be folded into Apple’s conservative, hardware-bound future. Unless Apple is willing to completely reinvent itself and hand the reins to AI-native leadership, such a merger would likely end in regret.

It wouldn’t be a strategic acquisition—it would be a slow-motion funeral for a company that might otherwise lead the next era of human-computer symbiosis.

Better idea? Let Perplexity keep flying. Let Apple keep building its walls. The future will reward the company that opens the most doors.




Perplexity Price: 200B For Apple. Bonus: CEO

at No comments:
Labels: , , , , ,

Wednesday, June 25, 2025

Perplexity Price: 200B For Apple. Bonus: CEO

Liquid Computing: The Future of Human-Tech Symbiosis

Apple And Perplexity
Apple executives held internal talks about buying Perplexity, Bloomberg News reports

When I first threw the number 100B, if Apple was already looking at Perplexity, it sure was not in the news. Now it is. But my number even then was a floor. 200B is more like it. Why? And it will still be cheap for Apple. Because Apple will lose 200B in market value in a year if it does not do the deal. So they will be getting Perplexity for free, essentially, even at 200B.

Size does not matter. Apple is on its way to irrelevance in five years if it does not merge with Perplexity. This is not a buying. This is a merger. "Giving Siri a brain," like Faraz puts it. I'd put it more bluntly. This is giving Apple a brain. I myself have mused if Tim Cook is the Steve Ballmer of Apple. He is, objectively speaking. Steve Ballmer missed the whole mobile thing. Except AI is more fundamental than the Internet itself. A better analogy would be Apple is the New York Times and it is refusing to get a website. Print papers all the way.

Tim Cook is an amazing COO, a legendary logistics guy. We all have our strengths. But imagination and creativity don't seem to be his things. Whereas Aravind's very demeanor is liquid.

Apple executives held internal talks about buying Perplexity, Bloomberg News reports

June 10: The Slow Descent of Apple: Missing the AI Wave Like Microsoft Missed Mobile

Liquid Computing: Naming the Next Era of Intelligence
Liquid Computing: The Future of Human-Tech Symbiosis
AMA With Aravind (Perplexity)
Apple's AI Move?
Why Aravind Srinivas Should Stay at Perplexity: The Path to a Trillion-Dollar Valuation
CEO Material For Apple: A Sundar, A Satya: Aravind Srinivas
Is Tim Cook the Steve Ballmer of Apple? A Cautionary Tale of Missed Tech Waves

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



The iPad Is Not Enough: Designing the Ultimate AI Device for the Liquid Computing Era

In the age of Liquid Computing—when digital tools dissolve into our lives, flowing through tasks and conversations rather than fixed apps and screens—the way we work, read, and think is transforming. The old metaphors of desktop, file, and window are already relics. What’s coming next is far more fluid, far more human.

Imagine this: you're looking at your iPad. You get an email. You don’t open it. You just say, “Summarize that for me and read it out.” And it does. Better yet, it doesn’t just summarize—it knows what you care about, flags what matters, and stores the rest. You ask, “Do I need to reply?” It knows. You dictate a quick response, approve it with a voice gesture, and move on.

This isn’t science fiction. The hardware is already here—iPad, AirPods, Watch, maybe even the Vision Pro. Apple has all the pieces. But they’re missing the AI sauce.

We don’t need another screen. We need a conversation layer. Work can now be a conversation. That’s the revolution.

So what is the real device of the Liquid Computing era?

It’s not the iPad. It’s not a laptop. It’s not even a phone.

It’s something new.

A voice-first, AI-native assistant.
Think:

  • An earbud that listens and responds contextually.

  • A pin on your chest that senses your environment and quietly interacts.

  • A tablet you can still touch, but don’t have to.

The real magic isn’t in the screen—it’s in the interaction model. Natural language, proactive anticipation, real-time summarization, cross-app cognition. You don’t click between apps anymore. You just talk to your AI. You ask. You get answers. You command. It executes. You flow.

And yet, Apple—the company with the hardware muscle, the OS ecosystem, and the silicon advantage—lags behind. They’ve got the ingredients but not the recipe. The intelligence layer is missing. Without it, their ecosystem feels like a glorified calculator with a better camera.

The future will belong to whoever nails this formula:

  • Context-aware AI that lives across devices.

  • Voice-first interface that reduces cognitive load.

  • Personalized memory, helping you work without working.

This device won’t ask you to think like a machine. It will meet you as you are, in conversation, on the go, everywhere. That’s Liquid Computing.

The iPad is not enough. The real superpower is ambient AI that thinks, listens, and speaks—as your co-pilot, not your tool.

And someone—Apple, OpenAI, or a startup we haven’t yet heard of—is going to build it. When they do, work will never be the same again. 






at No comments:
Labels: , , , ,

Saturday, June 21, 2025

Apple And Perplexity

100B in cash and stock, and Aravind as Apple CEO: the only way it could work.

Apple executives held internal talks about buying Perplexity, Bloomberg News reports

June 10: The Slow Descent of Apple: Missing the AI Wave Like Microsoft Missed Mobile

Liquid Computing: Naming the Next Era of Intelligence
Liquid Computing: The Future of Human-Tech Symbiosis
AMA With Aravind (Perplexity)
Apple's AI Move?
Why Aravind Srinivas Should Stay at Perplexity: The Path to a Trillion-Dollar Valuation
CEO Material For Apple: A Sundar, A Satya: Aravind Srinivas
Is Tim Cook the Steve Ballmer of Apple? A Cautionary Tale of Missed Tech Waves

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

at No comments:
Labels: , , ,

Wednesday, June 04, 2025

AMA With Aravind (Perplexity)

 


The Reddit AMA with Perplexity Labs' team—including CEO Aravind Srinivas and CTO Denis Yarats—offered insights into the development and future of Perplexity Labs, an AI-powered platform designed to transform user queries into comprehensive reports, dashboards, and applications.(reddit.com)

Key Discussion Points

1. Perplexity Labs Overview:
Perplexity Labs integrates tools like web browsing, code execution, and chart/image creation to process user questions into detailed analyses and applications. (reddit.com)

2. Usage Limits and Expansion:
Currently, Labs has a 50-task-per-month limit, primarily for stress-testing. The team indicated plans to increase this limit as the platform scales. (reddit.com)

3. Integration with Other Platforms:
Users inquired about potential support for platforms like Google Home and screen translators. While specific integrations weren't detailed, the team is exploring ways to expand Labs' accessibility across various devices and services.

4. Future Enhancements:
The team discussed ongoing efforts to improve Labs, including enhancing its capabilities and user experience. They emphasized their commitment to evolving the platform based on user feedback and technological advancements. (reddit.com)

5. Vision for Knowledge Work:
Looking ahead, the team envisions AI tools like Perplexity Labs playing a significant role in transforming knowledge work over the next 5–10 years, making information discovery and analysis more efficient and accessible. (reddit.com)

Most Requested Features

  • Increased Task Limits: Users expressed a desire for higher monthly task allowances to accommodate more extensive use cases.(reddit.com)

  • Broader Platform Support: There was interest in integrating Labs with additional platforms and devices to enhance versatility.

  • Enhanced Functionality: Requests included more advanced features for data analysis, visualization, and application development within Labs.(reddit.com)

For a detailed view of the AMA and to explore specific questions and responses, you can visit the full thread here.



Andrej Karpathy: Vibe Coding
Apple's AI Move?
Elon Musk and Quentin Tarantino: Masters of Pulp Fiction and Pop Culture
What Was the Basic Theranos Idea?
LaunchPad SF
Why Can't Tesla Match BYD Inside China On Prices?
Prompts Are Thoughts
Twitter: The Superpower of the 280-Character Brainstorm
Bay Bridge Therapy
Paul Graham: The Shape of the Essay Field
Grok Saved Twitter. Otherwise It Was On The Loose.

Questions For Vinod Khosla
Comparison of HarmonyOS vs. Android and iOS
Humanoid Robots: Not The Most Efficient Robots
Mary Meeker: Trends – Artificial Intelligence
The Fiercely Competitive Chinese EV Market
Why Smart Surface Public Transport Will Beat Full Self-Driving to the Future
India's $4,999 Car
The Five Year Window: A Smarter Lens for Navigating the Future
Government Tech: The Next Great Leap in Nation-Building (GovTech)

Vivek For Ohio
Palantir and 9/11: Could Technology Have Prevented the Attack, and How Does It Handle Future "Out of the Box" Threats?
Data Colonization
A Concrete Five-Year Plan for Bihar
Prashant Kishor Must Be Jan Suraaj’s CM Candidate
Can Meritocracy and Multiparty Democracy Coexist? Rethinking Elections for a Data-Driven Era
Drone Warfare: Guerrilla Warfare In The Age Of AI, Robotics And Drones
Why Paul Krugman Thinks Trump’s Trade War is “Stupid and Self-Destructive”
Going Back To Keynes On Global Trade
Britain Stole 45T From India
Aadhar & UPI: India's Greatest Soft Power Export Yet
The $50 Trillion Unlock: Why GovTech, Not the BRI, Will Transform the Global South
The Superpower of AOC: Capturing the Political Moment with Precision

Disrupting the Bloomberg Terminal: The AI Analysts Are Here
Some Suggestions For Perplexity Labs
Is Tesla Really a $25 Trillion Company Because of Optimus? A Deep Dive into Elon's Claim
AI-Era Social Network: The Facebook Killer That Looks Nothing Like Facebook
10 Trends In ClimateTech

Why Has Tesla’s Full Self-Driving Had So Many False Starts?
Elon Musk's Leadership Mistakes At Tesla
Tesla Self Driving, BYD Assisted Driving
The Tesla Robotaxi Rollout
Self-Driving Showdown: Tesla vs BYD vs Waymo — Who’s Winning the Autonomy Race?
What If the U.S. Let BYD In? Free Trade Meets the EV Disruptor

The No Link Policy On Twitter Is Stupid
Simulating A Particle Accelerator In AI
Deep Ocean, Surface Of Mars: Colonization Prospects
The Collision of Emerging Technologies: Where the Future of Tech Ignites
The Design Of Everyday Things
Unicorns, Elephants, And Plentiful Trillion Dollar Companies
The Physics: Bigger Rockets Are Harder To "Get Right"
Solugen: The Tesla of Chemicals—Why Isn’t It a Household Name Yet?
Software Ate the World. Now AI Is Eating Software.

The Browser Wars Are A Departure To Something New
The AI-Era Browser Is Not a Browser—It’s the Beginning of a New Operating System
AI-Era Web Browser, Brought To You By Perplexity
Why Thinking Big Is the Safest Bet in the Age of AI and Exponential Technologies
The Most Exciting Thing Happening in AI: Going Beyond the Internet Box
Google vs. Google: The AI Disruption and the Innovator’s Dilemma
Why Tesla's Only Path to Survival Runs Through India
From Chaos to World Class: A Bold Infrastructure Roadmap for Bengaluru, India’s Silicon Valley
Rethinking VC and Angel Investing for India’s Ground Realities
Why Aravind Srinivas Should Stay at Perplexity: The Path to a Trillion-Dollar Valuation
Ambient Computing: The Invisible Revolution Powered by AI
Beyond Laptops and Smartphones: The New Era of AI-Native Devices


Why Perplexity Must Dream Bigger: Beyond Faster Horse Carriages

The recent Reddit AMA with Perplexity AI’s founders—CEO Aravind Srinivas and CTO Denis Yarats—was a rich dialogue, brimming with user feedback, technical curiosity, and product wishlist items. But amid the excitement, something was missing. It wasn’t the answers. It was the questions.

The conversation, insightful though it was, revealed a broader issue: a collective failure of imagination. Most user requests echoed an all-too-familiar pattern in tech evolution—people asking for “faster horse carriages” instead of dreaming up the automobile. More integrations. More usage limits. Better UIs. These are fine asks—but they’re incremental. They're iterative, not revolutionary.

And that is the problem.

Perplexity is not just another browser-based chatbot. It is one of the few AI-native tech startups that has exploded past unicorn status in record time. That comes with not just opportunity, but responsibility—to pioneer, not merely polish.

This platform sits at the intersection of natural language processing, live web access, data science tooling, and interface design. In short: it’s not just a search engine replacement. It’s a potential reinvention of how humans ask, learn, explore, and act. It could become the cognitive exoskeleton for the curious.

But only if it dares to dream.

What Could Perplexity Become?

  • The World’s First Conversational Operating System: Not a search bar. A thought partner. Imagine Perplexity as the control layer across apps, tasks, and systems—like your OS, but driven by questions instead of clicks.

  • An AI-Native Browser Rethink: The Web is still structured for human eyeballs, not language models. What would a browser look like if it were built for GPT-5 and beyond? Could it abstract away pages and serve synthesized knowledge instead?

  • The First Truly Personalized University: If you fused Perplexity with adaptive learning, tutoring, peer collaboration, and credentialing—you’d have a lifelong learning system that rivals traditional education.

  • An Autonomous Researcher-as-a-Service: Give it a research goal. It reads, summarizes, evaluates, runs code, tests hypotheses, and sends updates. The Labs tool is only a primitive version of this dream.

  • A New Social Layer for Shared Curiosity: Imagine if questions asked on Perplexity became nodes in a social graph. Who is exploring similar topics? Who refined your prompt? Who disagrees? Curiosity could become a multiplayer game.

Time to Lead, Not Follow

To be clear: users want more tasks, smoother UX, and wider integrations because the current tools are genuinely useful. But Perplexity can’t let product design be reactive. It must be visionary.

This is a company in a position few others occupy. Google is too entrenched. OpenAI is focused on foundation models. Microsoft is bolting AI onto legacy structures. Perplexity is agile, fast, and born in the era of language models. That makes it the perfect candidate to rethink Web 2.0 and dream up Web 3.0—not the blockchain kind, but the cognitive kind.

The world doesn’t need a faster search engine. It needs a new medium for thinking.

So yes, give the users what they want. But more importantly, give them what they don’t yet know they need.

It’s time for Perplexity to stop iterating and start imagining.


at No comments:
Labels: , , ,

Saturday, May 31, 2025

Some Suggestions For Perplexity Labs




Since Perplexity Labs is focused on transforming ideas into tangible deliverables like reports, spreadsheets, dashboards, and web apps, here are some suggestions for apps and research reports that could enhance its capabilities, based on its current strengths and user needs:
Apps
  1. Automated Business Plan Generator: An app that creates comprehensive business plans, including market analysis, financial projections, and competitive landscapes, by pulling real-time data from the web and user-uploaded documents. It could integrate with tools like Google Sheets for live financial modeling and offer customizable templates for startups or small businesses.
  2. Interactive Learning Module Creator: An app for educators to generate interactive learning materials, such as quizzes, flashcards, or mini-courses, based on a topic or uploaded curriculum. It could use AI to tailor content for different learning levels (beginner, intermediate, expert) and include visuals or gamified elements.
  3. Personalized Meal and Fitness Planner: An app that designs weekly meal plans and workout routines based on user preferences, dietary restrictions, and fitness goals. It could pull nutritional data and exercise regimens from credible sources and generate shopping lists or workout dashboards.
  4. Real-Time Market Trend Dashboard: A dynamic web app for investors or businesses that tracks stock market trends, cryptocurrency prices, or industry-specific developments in real time. It could include interactive charts, predictive analytics, and exportable reports for portfolio management.
  5. AI-Driven Content Calendar Tool: An app for marketers to create content calendars with automated topic suggestions, SEO insights, and posting schedules. It could integrate with social media platforms and analyze trending topics to optimize engagement.
Research Reports
  1. Emerging Technology Trends Report: A report analyzing the latest advancements in a specific tech field (e.g., AI, quantum computing, or biotech) with forecasts, key players, and potential applications. It could include visualizations like adoption curves or investment trends.
  2. Competitor Analysis Report: A detailed report for businesses comparing competitors’ products, pricing, and market positioning. It could pull data from public sources and user-uploaded files to create SWOT analyses or benchmark tables.
  3. Sustainability and ESG Impact Report: A report for companies or investors evaluating environmental, social, and governance (ESG) metrics for a specific industry or company. It could include carbon footprint calculations, regulatory compliance insights, and sustainability benchmarks.
  4. Global Economic Outlook Report: A macro-level report covering economic indicators like GDP growth, inflation rates, and trade dynamics across regions. It could feature interactive maps and downloadable datasets for financial analysts.
  5. Consumer Behavior Insights Report: A report analyzing consumer trends for a specific product or industry, leveraging social media sentiment, purchase data, and demographic breakdowns. It could be tailored for marketing teams or product developers.
Suggestions for Next Version
  • Enhanced Customization: Allow users to fine-tune output formats (e.g., report styles, chart types) or integrate branding elements for professional deliverables.
  • Collaboration Features: Add real-time collaboration tools so teams can edit or comment on Labs-generated projects, similar to Google Docs.
  • Multimodal Inputs: Expand support for voice or image inputs to generate projects, like creating a report from a whiteboard sketch or voice memo.
  • API Integration: Offer seamless integration with tools like Zapier, Salesforce, or Tableau to streamline workflows for enterprise users.
  • Ethical Sourcing: Address concerns about web scraping by prioritizing transparent source attribution and partnerships with content providers to ensure ethical data use.
These ideas align with Perplexity Labs’ focus on automating complex tasks while addressing diverse user needs, from business to personal productivity. I’d love to hear what others think—any specific use cases or features you’d prioritize?






Is Tesla Really a $25 Trillion Company Because of Optimus? A Deep Dive into Elon's Claim
AI-Era Social Network: The Facebook Killer That Looks Nothing Like Facebook
10 Trends In ClimateTech
The Next Defining UX Pattern Of The AI Age
The No Link Policy On Twitter Is Stupid
Solve Drinking Water
Roadmaps To "Energy Too Cheap To Meter"
Deep Ocean, Surface Of Mars: Colonization Prospects
Why Is Crypto Regulation Hard?
The Collision of Emerging Technologies: Where the Future of Tech Ignites
The Design Of Everyday Things
Elon Musk's Leadership Mistakes At Tesla
Why Has Tesla’s Full Self-Driving Had So Many False Starts?
Unicorns, Elephants, And Plentiful Trillion Dollar Companies
The Physics: Bigger Rockets Are Harder To "Get Right"
Solugen: The Tesla of Chemicals—Why Isn’t It a Household Name Yet?
Software Ate the World. Now AI Is Eating Software.
The Browser Wars Are A Departure To Something New
The Rise of the Super Niche: Launching a Multimedia Empire at the Intersection of AI and Robotics
The AI-Era Browser Is Not a Browser—It’s the Beginning of a New Operating System
AI-Era Web Browser, Brought To You By Perplexity
Why Thinking Big Is the Safest Bet in the Age of AI and Exponential Technologies
Why Thinking Big Is the Safest Bet in the Age of AI and Exponential Technologies
The Most Exciting Thing Happening in AI: Going Beyond the Internet Box
Why Tesla's Only Path to Survival Runs Through India
From Chaos to World Class: A Bold Infrastructure Roadmap for Bengaluru, India’s Silicon Valley
Rethinking VC and Angel Investing for India’s Ground Realities
Ambient Computing: The Invisible Revolution Powered by AI
Why Aravind Srinivas Should Stay at Perplexity: The Path to a Trillion-Dollar Valuation

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

at No comments:
Labels: , ,
Subscribe to: Posts (Atom)