Netizen: Sam Altman

Showing posts with label Sam Altman. Show all posts

Thursday, June 19, 2025

19: GenSpark Browser

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 Most Important Debate in the World – A Novel Thread pic.twitter.com/9RmGeyLXQI
— Paramendra Kumar Bhagat (@paramendra) June 19, 2025

I was working 12-hour days, posting non-stop, yet… $0.

The breakthrough came when I stopped doing everything and focused on 3 things:
- Building 1 lead magnet
- Writing 1 daily value post
- Promoting 1 digital product

That lead magnet was a simple PDF I created from my…
— R Dilip Kumar (@dkspeaks) June 19, 2025

Introducing Genspark AI Browser:
Lightning fast, ad-blocking, fully agentic, autopilot mode, MCP Store, and Super Agent that does everything for you!

24 people, 10 weeks, 8 major products:
AI Browser, AI Secretary, AI Personal Calls, AI Download Agent, AI Drive, AI Sheets, AI… pic.twitter.com/o53LG8fMy6
— Eric Jing (@ericjing_ai) June 10, 2025

Intriguing. Check out Liquid Computing: The Future of Human-Tech Symbiosis https://t.co/VDimUsobtF
— Paramendra Kumar Bhagat (@paramendra) June 19, 2025

Friends are asking how we managed it all.

For small companies like us, we just want to survive. Big players have all the resources, but we believe the winner won't be determined by who has more money—it'll be who innovates fastest.

We average 1-3 people per product and keep… https://t.co/lets1qwE7z
— Eric Jing (@ericjing_ai) June 13, 2025

As a search guy, the most important lesson I learned:

SPEED IS EVERYTHING!

Every time we improved speed, every metric went up. It is the ONE and ONLY feature that improves all metrics across the board!

With the Parallel Tool Calls, Genspark becomes:
⚡️ 2X Faster Agentic… pic.twitter.com/DSMAU980UR
— Eric Jing (@ericjing_ai) June 12, 2025

"All incumbents are going to get nuked." https://t.co/TzFea0BhCM
— Eric Jing (@ericjing_ai) June 12, 2025

Try Genspark AI Browser Now! https://t.co/OOJsjekYDH
— Eric Jing (@ericjing_ai) June 10, 2025

Genspark Browser Trailer - 100% AI Video

It feels like there will be less and less work for humans to do in the future.

- Genspark Super Agent planned and executed this video via Gemini Veo 3. pic.twitter.com/L4Wq02SuOO
— Eric Jing (@ericjing_ai) June 9, 2025

Wednesday, June 11, 2025

YC Is the New IBM — And That’s the Problem

The busiest block in sf today 👀 @ycombinator pic.twitter.com/YKF2mcrf0O
— Liz Wessel (@lizwessel) June 11, 2025

The Plateau of Plenty: Why VCs Are the Seers of Our Time
Why OpenAI Has Failed Compared to Early Google
The Slow Descent of Apple: Missing the AI Wave Like Microsoft Missed Mobile
Beyond Full Self-Driving: The Smarter, Faster Path to Safer Transit

YC Is the New IBM — And That’s the Problem

Y Combinator is one of the most iconic institutions in the startup world. It has funded over 4,000 startups, including legendary names like Airbnb, Stripe, and Dropbox. It redefined what early-stage acceleration could mean. It made demo day a cultural event. It scaled.

But here’s the uncomfortable truth: Y Combinator never grew up. Yes, it scaled like a factory—like you used to make five ceramic cups and now you produce 50. But scale isn’t evolution. And YC hasn’t evolved for the era we’re in. It was designed for 2005, and it’s still running the same playbook in 2025.

Can the next OpenAI be born inside YC? The answer is clear: No. And here's why that matters.

The Myth of Scalability as Innovation

Y Combinator perfected the pipeline of churning out “fundable” startups, often with minimal innovation risk. You don’t go to YC to build a moonshot—you go to YC to get a bridge round and validation. The model optimizes for safe bets, not world-changing bets.

That’s why the biggest tech bets of the last decade didn’t come from YC:

OpenAI? Born out of an elite coalition of thinkers and capitalists, not a YC batch.
NVIDIA’s AI bet? Vision from within a hardware company with deep technical roots.
DeepMind? U.K.-based and far more academically anchored than YC-style hustle.
SpaceX? Elon didn't start it with $125k and a pitch deck.

YC didn’t—and perhaps couldn’t—incubate these.

The Platform Problem: YC Is Craigslist

YC today is like Craigslist. Once, it was everything—jobs, housing, gigs. But then a thousand verticals unbundled it: Airbnb took housing, LinkedIn took jobs, Uber took rides, and so on.

YC is waiting to be unbundled in the same way.

It is a generalist factory in a world now defined by the intersections of specialized, emerging technologies—AI + biotech, crypto + supply chain, robotics + mental health. These aren’t demo-day darlings. These are decade-long labs. These are fund-and-build platforms. They require long-term, infrastructure-level thinking.

The Old Playbook Can’t Win New Games

YC was built for Web 2.0. It flourished when minimal viable products and agile iterations could quickly lead to market traction. But the new wave of innovation doesn’t move in 3-month cycles. We’re entering a world of:

Pre-trained models that cost tens of millions
Deep tech that requires regulation-savvy founders
Climate tech with long feedback loops
Decentralized protocols with complex incentive engineering

What these ventures need is not YC’s playbook. They need patient capital, deep integration with research institutions, infrastructure support, cross-disciplinary expertise, and a new breed of founder networks.

YC Is IBM. Where’s the Next Apple?

In many ways, YC is IBM now—respected, still powerful, but stagnant. You know what that makes the opportunity? We need 100 new post-YCs. Each one laser-focused on a vertical. Each one optimized for depth, not breadth. Just like Airbnb pulled one vertical out of Craigslist and ran with it, the accelerators of the next decade will do the same with YC.

We’ll see:

An OpenAI-style research-to-commercialization lab for AGI
A biotech founder accelerator with embedded labs and FDA navigation
A climate moonshot studio building infrastructure, not MVPs
A sovereign-technology accelerator for deep geopolitical alignment

Each of these would make YC look like a hobby club for hustlers with slide decks.

Point Be Noted

Let’s not confuse ubiquity with relevance. YC’s continued dominance in the startup discourse is a legacy effect. Its true limitations are masked by volume. But volume is not vision. And in the AI era, in the climate era, in the post-scarcity, post-crypto, post-Web2 world, we need vision.

The most important companies of the next 20 years won’t come out of YC.

They will be born elsewhere—on new platforms, with new rules, under new accelerators that know how to build for complexity, capital intensity, and global impact.

YC lit the flame.

But it's time for a new fire.

Paul Graham's Favorite History Books
Paul Graham: The Shape of the Essay Field
Elon Musk's Leadership Mistakes At Tesla
Paul Graham’s Timeless Advice for Tech Startups: A Masterclass in Building the Future

At half the market price, as many engineers as you want. No benefits. Also management help. Which means you get to focus on the spec and design level ..... will allow you to scale fast. A1 talent pool. Best of the best. Commandos.
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Buy a large screen for video calls. Use the real time communication apps.
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

This is, and always has been, a white supremacist administration. https://t.co/Nz3j4ePzQa
— Julia Ioffe (@juliaioffe) June 11, 2025

Why is this dude suddenly speaking Sanskrit?
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Paul Graham, Brad Feld, Me, BBC (2010)
United States to woo entrepreneurs with new visa law

🧵YC Is the New IBM — And That’s the Problem
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Hello @gdb @sama I am looking for a corporate sponsor for this blog https://t.co/4tF5jVpW0n 5K/month. You get five OpenAI focused blog posts per month. And a mention in the header. Can I get you interested?
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Back to the fold.

We now know who's the real boss in this silly game. pic.twitter.com/MpyLg2gd57
— Pekka Kallioniemi (@P_Kallioniemi) June 11, 2025

100 Emergent Technologies Of The Recent Decades And Their Intersections
Skip the Landline: Why Perplexity AI Must Leap Boldly Into the Future
Prompts Are Thoughts
The Five Year Window: A Smarter Lens for Navigating the Future
Government Tech: The Next Great Leap in Nation-Building (GovTech)
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
Why Thinking Big Is the Safest Bet in the Age of AI and Exponential Technologies
10 Trends In ClimateTech
Solve Drinking Water
Deep Ocean, Surface Of Mars: Colonization Prospects
Why Is Crypto Regulation Hard?
The Collision of Emerging Technologies: Where the Future of Tech Ignites
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.
Google vs. Google: The AI Disruption and the Innovator’s Dilemma

YC Is the New IBM — And That’s the Problem https://t.co/v1lj7czcto
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Don't make it personal, personal. Let's collaborate and innovate. Shall we?
— Paramendra Kumar Bhagat (@paramendra) June 11, 2025

Aight bet
— Garry Tan (@garrytan) June 11, 2025

Y Combinator (YC) holds a 7% equity stake in each of its ~5,000 portfolio companies via its standard deal (ycombinator.com).

Industry estimates put the combined valuation of YC-backed startups at approximately:

$600 billion, according to multiple sources (marketsentiment.co, blog.joinodin.com),
and possibly as high as $900 billion for the top ~271 companies (axios.com, jaredheyman.medium.com).

Using those ranges:

At $600 billion total, YC’s 7% stake is worth:
$0.07 \times \$600\,\text{billion} = \$42\,\text{billion}$
At an upper estimate of $900 billion, YC’s stake would be:
$0.07 \times \$900\,\text{billion} = \$63\,\text{billion}$

📊 Summary

Assumed Portfolio Valuation	YC’s Stake (7%)	Estimated Worth
$600B	7%	$42 billion
$900B	7%	$63 billion

So, YC’s 7% equity across its ~5,000 companies is likely worth between $42 billion and $63 billion, depending on how you calculate “total portfolio value.”

pic.twitter.com/OXIVx5JmB4
— Garry Tan (@garrytan) June 11, 2025

🇨🇦|🇵🇸 A delegation of over 100 Canadian people will join the Global March to Gaza [Sumoud Convoy]
pic.twitter.com/UINsFXKfth
— Suppressed News. (@SuppressedNws) June 11, 2025

I can't believe that nobody wanted it in 2016! I published my book Artificial Intuition in early 2017. I had thought the Deep Learning revolution was already in full swing! In fact, Transformers were introduced later that same year. https://t.co/47ksGt6ly7
— Carlos E. Perez (@IntuitMachine) June 11, 2025

The WNBA’s Most Valuable Teams 2025 https://t.co/pvwleLvtF5
— Forbes (@Forbes) June 11, 2025

They want to talk about anything other than the super unpopular thing they are doing. Our job is to continue to talk about the super unpopular thing they are doing. https://t.co/T42WmHrBL1
— Brian Schatz (@brianschatz) June 11, 2025

Trump’s upcoming $45 million parade will most likely get rained on, according to current weather forecasts.https://t.co/QOlswsV6TW
— The Daily Beast (@thedailybeast) June 11, 2025

My friend and @interfaithusa colleague @theRevAdam on how hard, and important, it is to achieve unum. It’s the difference between coexistence and chaos. In @Deseret https://t.co/uvgeMDLwtw
— Eboo Patel (@EbooPatel) June 11, 2025

Opinion: First Lady Melania and Pope Leo are right — it’s “unum” time Unum doesn’t erase conflict or pretend we all agree. It’s not utopia. It’s the hard, daily work of choosing coexistence over chaos ..... a time when America — and the world — feels dangerously divided. ....... Unum means Jewish and Muslim Americans grieving side-by-side. It means a First Lady who grew up Catholic in Slovenia invoking a motto that speaks across American synagogues, mosques and churches alike. It means a Pope who spent years in Latin America calling for peace — not as an abstract dream, but as an urgent task. .......... In moments like these, we face two temptations. One is despair: to give up, to believe the divisions are too deep. The other is rage: to blame, punish and retreat into our tribes. ......... Pope Leo XIV said it plainly: “Be bridgebuilders, peace seekers, and companions on the journey.” That’s not just a prayer. It’s a plan. ......... Because in a world driven by algorithms that divide and outrage that sells, choosing Unum is radical. It means staying at the table when you’d rather storm out. It means believing that pluralism — people of different faiths, races, beliefs and stories — can still build a shared life. ......... belonging isn’t partisan. It’s American. It always has been.

Standing room only at @ycombinator demo day to the very last company. pic.twitter.com/YQqRYDabp7
— Yuri Sagalov (@yuris) June 11, 2025

What do you say we open up a channel of communication? My first name at Gmail.
— Paramendra Kumar Bhagat (@paramendra) June 12, 2025

Tuesday, June 10, 2025

Why OpenAI Has Failed Compared to Early Google

How long before we see another 80% drop? #failedmonetization
— Paramendra Kumar Bhagat (@paramendra) June 10, 2025

OpenAI's decision to charge for ChatGPT (e.g., with its ChatGPT Plus plan) contrasts sharply with Google's early strategy of offering its most powerful product—search—entirely free to users while monetizing elsewhere. Here's a critique of that approach and 10 monetization strategies OpenAI could pursue to make ChatGPT universally free without sacrificing profitability.

Argument: Why OpenAI Has Failed Compared to Early Google

Early Google’s success lay in:

Making core functionality free to all, regardless of geography or wealth.
Building market dominance and network effects through universal access.
Monetizing adjacent activity—especially through Google Ads and search data analytics.

OpenAI, in contrast, has:

Gated its most powerful features (GPT-4, code interpreter, memory) behind a paywall.
Risked slowing down global adoption, especially in the Global South and among low-income users.
Created friction at a time when it could have accelerated ubiquity.

This is a strategic failure in the platform era: AI dominance depends not just on performance, but on mass adoption, ecosystem growth, and data feedback loops. A free ChatGPT tier with GPT-4 access would be a better moat than subscriptions.

10 Monetization Alternatives So OpenAI Could Offer ChatGPT for Free

1. Sponsored AI Responses (AdGPT)

Like Google Search ads, inject sponsored answers into ChatGPT results—clearly labeled.

Example: "Looking for running shoes?" —> Paid recommendation from Nike.
This preserves the core free experience while enabling intent-based monetization.

2. AI-Native Shopping & Recommendations Engine

Let brands pay to be discoverable through ChatGPT when users express buying intent.

OpenAI could power a new kind of “AI Shopping Assistant” like Amazon+Google fused.
Revenue from affiliate commissions, brand placements, and product integrations.

3. Data & Analytics API for Enterprises

Monetize anonymized trend data or allow brands to query user sentiment/interest over time.

Think: OpenAI as the Nielsen/Comscore of the AI era.
Sell insights—not user data, but patterns.

4. AI Agents Marketplace Cut

Let developers and companies build agents on GPT infrastructure and take a revenue share.

Just as Apple earns 30% from the App Store, OpenAI could host a “GPT Agent Store.”

5. Monetize API and Tooling for Enterprise, Keep User Access Free

Keep API and DevTool pricing for large orgs (as it does now), but make ChatGPT itself free.

Microsoft, Salesforce, Notion, etc., are paying. End users shouldn’t have to.

6. Hardware & Embedded Licensing (GPT in Devices)

Charge device makers (phones, cars, TVs) to embed GPT natively.

Example: A “GPT Inside” chip-like model—OEMs pay per unit to include OpenAI smarts.

7. Enterprise ChatGPT Pro with Private Data Enclaves

Offer premium, secure ChatGPT services to enterprises who want full control over context, memory, and models.

High-margin B2B SaaS; subsidizes free public use.

8. Co-branded ChatGPT Assistants for Influencers & Brands

Imagine “MrBeastGPT” or “NikeGPT.” OpenAI could charge for white-labeled assistants.

Revenue from licensing, brand partnerships, and co-marketing campaigns.

9. Education Platform Licensing (GPTU)

Build a global AI-first education platform with GPT tutors and sell to institutions.

Governments and private schools pay; students access for free.

10. AI-Powered Search to Compete with Google/Bing (Ad Revenue)

Build or partner on a web search product where ChatGPT integrates results and ads.

Long-term play: eat into Google's ad monopoly.
Monetize through cost-per-click (CPC) search ads, not user subscriptions.

Conclusion

Google’s greatness stemmed from making its core product free and monetizing around it. OpenAI should do the same. Charging for ChatGPT limits reach, slows data loops, and shrinks its moat just when it should be expanding fast. By embracing these 10 monetization models—especially advertising, AI commerce, agents, and enterprise licensing—OpenAI can deliver universal access to AI while building an even larger business than subscriptions allow.

If Google could build a trillion-dollar empire without ever charging for Search, OpenAI can build the next trillion-dollar ecosystem by freeing ChatGPT.

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

Why OpenAI Has Failed Compared to Early Google @sama https://t.co/srHAGeDPKu
— Paramendra Kumar Bhagat (@paramendra) June 10, 2025

🧵 Why OpenAI Should Stop Charging for ChatGPT — and 10 Better Ways to Monetize AI

Early Google gave away its best product (Search) for free.

OpenAI charges $20/month for GPT-4.

Here’s why that’s a mistake—and 10 smarter ways OpenAI could monetize without a paywall. 👇
— Paramendra Kumar Bhagat (@paramendra) June 10, 2025

Who agrees? pic.twitter.com/hFoP7I6t8j
— Travis Matthew (@Matthewtravis08) June 9, 2025

It’s amazing how many problems can be solved by simply acknowledging them and talking through them with people who disagree.

Imagine if our political system created incentives to do this.
— Forward Party (@Fwd_Party) June 10, 2025

Just an absolutely shameful use of taxpayer dollars that could be used to actually HELP people.

Despicable. https://t.co/jxPzRqxiGj
— Mayor Karen Bass (@MayorOfLA) June 10, 2025

Troops deployed to LA will cost $134M, Pentagon official says https://t.co/zyfIyqx6P8
— POLITICO (@politico) June 10, 2025

$134 million that should be going to LA’s fire recovery.

Shameful. https://t.co/hHY3Fs3Lhn
— Governor Gavin Newsom (@CAgovernor) June 10, 2025

Hegseth fiercely defended deploying Marines to L.A., even though the operation will cost an estimated $134 million. https://t.co/ye2sP6jX81
— The Daily Beast (@thedailybeast) June 10, 2025

‘Beautiful Ruins’ author Jess Walter’s latest book, ‘So Far Gone,’ is a madcap road novel that aptly captures the absurdity of the past ten years. https://t.co/z745dTSEOv
— New York Magazine (@NYMag) June 10, 2025

Mexico's President makes shock move to fuel ICE riots.... Trump needs to handle thishttps://t.co/kKMz5aiFqu
— Dinesh D'Souza (@DineshDSouza) June 10, 2025

Emptying 40% of NYC Is Not Logical: America Needs Common Sense Immigration Reform
ICE: Los Angeles, New York City
Thomas Jefferson’s Forgotten Vision: A Constitution for Every Generation
Components Of A Sane Southern Border
A Formula for Peace in Ukraine: A Practical Path Forward

Unfounded Fears Of Technology: 20 Examples
The Slow Descent of Apple: Missing the AI Wave Like Microsoft Missed Mobile

Wednesday, May 21, 2025

The AI-Era Smartphone: Creating, Not Consuming—Connecting, Not Waiting

The AI-Era Smartphone: Creating, Not Consuming—Connecting, Not Waiting

The smartphone transformed the 21st century. It put the Internet in our pockets, turned billions into content creators, and made “there’s an app for that” the default response to any need.

But that model—tap an icon, download an app, use it in a predefined way—is now outdated. In the AI era, the smartphone must evolve. It must go from toolbox to toolsmith. From consumer gadget to creative companion. From being a node on a network to being the network itself.

Let’s reimagine the AI-native smartphone.

Create Apps Like You 3D Print Objects

You don’t download apps anymore. You design them on the fly. With natural language.

Want a habit tracker for a new morning routine? Just say:

“Create a simple app that reminds me to meditate at 7 a.m., track my sleep, and adjust my schedule if I work past 10 p.m.”

Boom. Your AI generates the UI, builds the logic, stores data, and evolves the app with your habits. All within seconds. The backend is AI. The frontend is dynamic. The interface adapts to your goals.

This is the 3D printing of software. The App Store is obsolete. The only store is your imagination.

Connectivity Everywhere, Always

Your AI phone has permanent, planetary Internet access. Not through traditional towers, but via low-Earth-orbit satellite networks like Starlink.

On a mountaintop? Online.
On a boat in the Indian Ocean? Online.
In-flight at 36,000 feet? Online.
Hiking in the Amazon? Still online.

No roaming. No SIM card switching. No “searching for signal.” The AI smartphone becomes a personal global network node—autonomous, persistent, and universal.

And it’s not just access—it’s bandwidth. Enough to stream, collaborate, and compute anywhere.

The AI Operating System: You Don’t Tap, You Converse

There are no more “apps” or “tabs.” You don’t launch, swipe, or refresh.

You say:

“Book me a flight for tomorrow to Istanbul, window seat, avoid long layovers. And find me a hotel within walking distance to Bosphorus cafes.”

Your AI does it all. Including checking your calendar, budgeting from your financial AI, and considering your jet lag profile.

Or:

“Generate a visual story from the last 50 pictures I took in Thailand, set it to lo-fi music, and post it on my travel blog with a reflective caption.”

One sentence. Infinite execution.

This is intent-driven computing. Your phone understands context, not clicks.

AI-Enhanced Hardware

Built-in neural processors to run personalized LLMs on-device
AR-ready camera systems for real-time translation, object recognition, and mixed-reality experiences
Mic + Sensor arrays that know your environment, mood, and stress levels
Energy-optimizing AI that learns your usage patterns and conserves power dynamically
Modular accessories that attach magnetically—thermal cameras, portable microscopes, even medical diagnostics tools

A Phone That Knows You Better Than You Know Yourself

Your AI OS doesn't just respond. It anticipates. It notices that you’re distracted after 11 p.m. and switches notifications to “focus mode.” It sees your step count drop and nudges you to take a walk. It senses emotional tone in your messages and offers reflective journaling prompts.

It's not a machine. It’s a mirror, a coach, a companion.

And it’s sovereign. Your data doesn’t leak. It’s stored privately, encrypted, with total transparency and consent.

Goodbye, Screen Addiction. Hello, Ambient Intelligence.

In the AI phone era, your screen disappears more often. You speak. You listen. You experience. Much of the computing happens in the background—in your earbuds, through your voice, or projected onto your smart glasses.

You don’t open Instagram to scroll. Your AI composes a highlight reel of your friends’ updates and reads them to you on your morning walk—like a social podcast curated just for you.

You aren’t addicted to screen time anymore. You’re empowered by mind time.

Final Thought: Your Phone Is Now a Platform for Life Itself

The AI-native smartphone is not just a smarter phone. It’s a portable personal infrastructure—a combination of network, assistant, lab, studio, studio audience, and second brain.

It is custom logic + global access + ambient cognition.
It is no apps, only intent.
It is no limits, only imagination.

Welcome to the phone that doesn’t just connect you to the Internet. It connects you to your potential.

Are you ready to carry your future in your pocket?

The AI-Era Smartphone: Creating, Not Consuming—Connecting, Not Waiting https://t.co/Yf4WQL0Pus
— Paramendra Kumar Bhagat (@paramendra) May 21, 2025

Tim Cook after seeing OpenAI acquire Jony Ive’s startup io for $6.4B in an all-stock deal to make a family of AI devices with a team of Apple alumni while Siri is still unable to set a simple 9am alarm wake-up call. pic.twitter.com/rnPHlCp297
— Trung Phan (@TrungTPhan) May 21, 2025