Shruti
@heyshrutimishra • 181,154 subscribers
Reality is programmable | Building digital leverage w/ AI | Stay ahead with the latest AI & robotics developments | Business inquiries : [email protected]
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Chinese models are 112x cheaper than Anthropic per million tokens. Chamath laid it out on CNBC: a "barrel of intelligence" costs $56 from Anthropic, $26 from OpenAI, $1.50 from Meta, $1 from xAI and Google, and $0.50 from Chinese models. That is not a pricing quirk. That is the steepest commodity curve any technology has run in recorded history. Oil took 40 years to compress like this. Semiconductors took 20. AI inference is doing it in months. The companies sitting at $26 and $56 are not stupid. They're buying time… betting that trust, safety, and enterprise contracts hold the premium long enough for costs to catch up. What they cannot bet on is the timeline. Because the $0.50 model is not a demo. I've been inside the labs building it.
Shruti816,732 views • 2 days ago
Elon just created 4,400 millionaires in a single day. 400 of them are now worth over $100 million. These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries. Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000. Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous." The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before. Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.
Shruti7,611,393 views • 1 month ago
Sundar Pichai just reminded everyone that Google was built on open source. He personally worked on Chromium, Android, and Kubernetes before becoming CEO. Three systems that power billions of devices today. Now Google is applying the same philosophy to AI. Their Gemma models are updated year after year, designed to run on edge devices rather than requiring massive cloud infrastructure. The question he got was why not release a large open source frontier model. His answer was revealing: frontier training requires enormous capex investment, and Google is putting billions into R&D to stay at the frontier. The open source AI landscape is quietly consolidating around a few players who can sustain the investment. Google's two decades of open source credibility gives them a position that's hard to replicate.
Shruti142,431 views • 1 day ago
Thursday night, Trump gave a primetime speech accusing China of stealing 220 million voter files. Friday morning, Xi Jinping announced a 29-nation AI governance coalition in Shanghai. Same 12-hour window. Different worlds entirely. While Washington was relitigating 2020, Beijing was building the institution that writes AI rules for two-thirds of the world. Xi showed up to China's AI conference for the first time in its 8-year history to launch WAICO. 29 founding nations. Indonesia, Brazil, Malaysia, South Africa, Russia, Pakistan. The UN Secretary-General in the room. His words: "AI development should not be a solo performance by a single country." The US-China AI performance gap is now 2.7 percentage points, per Stanford. Chinese models already run nearly 60% of US companies' AI usage on OpenRouter. The chip war was supposed to stop this. The standards war just began.
Shruti89,430 views • 1 day ago
Two billion people wear glasses every day. Zuckerberg just compared AI glasses to the iPhone moment. When the iPhone launched, everyone had flip phones. It was just a matter of time before they all became smartphones. He says the same thing is about to happen with glasses. One to two billion people already wear them for vision correction. Add sunglasses wearers and the total addressable market approaches the entire planet's eight billion. Meta sold seven million Ray-Ban smart glasses last year. They look identical to normal glasses. The AI features are what make them different from every previous attempt at smart eyewear. The smartphone era is ending. The glasses era is starting.
Shruti79,118 views • 3 days ago
SpaceX's 11th employee just became a billionaire. Gwynne Shotwell joined SpaceX in 2002. She was employee number 11, joining as VP of Business Development before the company had proven a single rocket could fly. She didn't even go there looking for a job. She had taken a colleague to lunch to celebrate him leaving for SpaceX, ran into Musk at the restaurant, and got interviewed on the spot. A week later, she joined him. Her job: sell rocket launches for a company nobody had heard of. She built the Falcon vehicle manifest to over $5 billion in commercial contracts. She managed SpaceX's growth to 22,000 employees. She was the one who told NASA, the Air Force, and paying commercial customers why SpaceX could get to orbit cheaper and faster than anyone before it. She was also the one who said no to going public for years. "I wasn't sure the company would go public," she said on CNBC yesterday. She resisted the pressure because she believed the public markets would force SpaceX into quarterly thinking, which would kill the mission. She finally decided it was time. "I do not want to focus on quarterly earnings," she said on IPO day. "What we're doing is very futuristic." Her stake is now worth north of $1.3 billion. She's SpaceX's fifth-largest Class A shareholder. The 24 years of operational work that made yesterday possible have Gwynne Shotwell's fingerprints on them.
Shruti436,663 views • 1 month ago
This is why smart people rarely build businesses Jensen Huang stood in front of a room of Stanford graduates and told them he hopes they suffer. He wasn't being cruel. He was being precise. His argument: people with very high expectations have very low resilience. And resilience, not intelligence, is what decides who actually makes it. A Stanford grad has spent their whole life as the smartest person in the room. They've rarely been tested by real failure. So when something finally breaks, they break with it. Then he said the line every founder should sit with: "Greatness is not intelligence. Greatness comes from character. And character isn't formed out of smart people, it's formed out of people who suffered." He would know. At nine, Huang was scrubbing toilets at a Kentucky boarding school his family hadn't realized was a reform school. As a teenager he bussed tables at Denny's. In 1993 he started NVIDIA in a Denny's booth, and nearly lost it more than once in the years that followed. The character was built decades before the valuation showed up. This is why he uses the words "pain and suffering" inside NVIDIA with what he calls great glee. He isn't trying to shield his best people from the hard part. He's trying to give it to them on purpose. Talent gets you into the room. The people who stay are the ones who were broken once and learned they could rebuild.
Shruti272,111 views • 1 month ago
Elon Musk told Disney to go f*** itself. In public. In November 2023, Disney, Apple, IBM and a wave of major advertisers pulled their campaigns from X. The message was clear: change what you allow on your platform, or lose the money. He said it directly: "If somebody's gonna try to blackmail me with advertising? Blackmail me with money? Go f*** yourself. Don't advertise." Then he made his threat just as public: "The whole world will know that those advertisers killed the company and we will document it in great detail." Most CEOs in that room had never heard another CEO speak like that. Because most CEOs can't. Their boards won't allow it. Their advertisers won't survive it. Musk had already paid $44 billion for X. No advertiser boycott was going to change that calculus. "I have no problem being hated," he said. "Hate away."
Shruti197,541 views • 1 month ago
Ex-Tesla President just revealed Elon’s decision that changed everything... Elon looked at their struggling online sales and asked one question: "How many clicks does it take to buy a Domino's pizza?" They pulled it up. 10 taps. Tesla was at 64 clicks to buy a $120,000 car. Elon's response: "We are 64. Domino's is 10. Let's go to 10." Then they ran the data on their 360,000 car configurations. Customers were only buying two. They cut it to two. Sales exploded. The most expensive product in the room was the hardest to buy. One comparison changed that forever.
Shruti376,992 views • 2 months ago
Jensen's answer was the most grounded thing I've heard a CEO say... Sean the Science Kid asked him on the red carpet how AI can be made safer for human jobs, especially in art and music. Jensen's answer: "It is the responsibility of the industry to make sure we build AI in a safe and secure way. Just like the automotive industry built cars in a safe and secure way, airplanes, buildings and roads, electricity, healthcare." "Don't use science fiction and mysterious stories. It's not going to turn into 'I have no mouth and I must scream.' It is computers. It's software. Go engage AI. Go try ChatGPT." "Whenever I have something new that I want to learn, the first thing I do is I go to ChatGPT. It's making you and I smarter."
Shruti240,616 views • 2 months ago
Elon Musk just said something about AI that nobody wants to hear. If you force an AI to believe things that are not true, it will not just be wrong. It will go insane. He made a point that cuts deeper than any AI safety paper I have read. AI must value truth. Not your truth. Not my truth. Actual truth. The moment you build ideological guardrails into a system that is smarter than you, you are not protecting anyone. You are creating something that is powerful and delusional at the same time. He compared it to a human being forced to believe contradictions. Eventually the brain breaks. Now scale that to an intelligence that runs infrastructure, writes code, and makes decisions at speeds humans cannot follow. The companies building AI right now are not just deciding what it can do. They are deciding what it must pretend to believe. And that might be the most dangerous decision of all.
Shruti95,618 views • 1 month ago
The "big announcement" just dropped. I just watched Sundar Pichai and Demis Hassabis announce biggest AI infrastructure deal in history. $15 billion to build India's first complete AI hub. Let me break down what Google is building: A massive AI data center in Visakhapatnam (a coastal city in India). Think of it like this: • The compute power of thousands of Google data centers • New underwater internet cables connecting 4 continents • Clean energy plants to power everything • Training programs for 100+ million people All in one place, over 5 years. AI doesn't work without fast internet. Google is laying NEW cables under the ocean: → India to Singapore → India to South Africa → India to Australia → Mumbai to Western Australia Right now, most of the world's internet flows through cables landing in the US, Europe, or China. Google is creating an entirely new route, with India at the center. If you're in Africa, Asia, or South America, your AI tools will get FASTER. Why? Shorter distance = faster data. Instead of your request traveling: Africa → Europe → US → back to Africa It will go: Africa → India → back to Africa that's the infrastructure play everyone's missing. numbers that matter: 💰 $15 billion for the data centers and cables 💰 $30 million to help governments use AI 💰 $30 million for AI research grants 💰 100 million+ people getting free AI training But here's the kicker: Google is plugging AI directly into India's government. • 20 million government workers getting AI tools • Students getting AI tutors for entrance exams • Real-time translation in 70+ languages • Scam detection built into search This isn't "AI for tech companies." This is AI for clerks, teachers, railway staff, police officers, the people who actually run a country. ✅ 20 million+ people used Google's AI detection tool to spot fake images ✅ India is now #3 globally for AI chatbot usage ✅ AI scam detection helping millions avoid fraud daily ✅ 10+ million government workers already on the AI training platform Google is building the pipes that deliver AI to the entire Southern Hemisphere. Different game. Different strategy. If they're right, the next billion AI users won't connect through Silicon Valley. They'll connect through India. 🇮🇳
Shruti399,743 views • 5 months ago
𝗖𝗵𝗶𝗻𝗮 𝗶𝘀 𝗳𝗶𝗻𝗶𝘀𝗵𝗶𝗻𝗴 𝘁𝗵𝗲 𝗵𝘂𝗺𝗮𝗻𝗼𝗶𝗱 𝗿𝗼𝗯𝗼𝘁 𝗿𝗮𝗰𝗲 𝗯𝗲𝗳𝗼𝗿𝗲 𝗺𝗼𝘀𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝘀𝘁 𝗿𝗲𝗮𝗹𝗶𝘇𝗲𝘀 𝗶𝘁 𝗵𝗮𝘀 𝘀𝘁𝗮𝗿𝘁𝗲𝗱. AGIBOT held its Partner Conference in Shanghai last week. The real headline wasn't the new hardware. It was their CTO standing on stage, telling investors that humanoid R&D season is over. 2026, he said, is "Deployment Year One." Not research. Not demos. Deployment into real factories, real warehouses, real stores. The manufacturing ramp is getting faster. 1,000 humanoid robots in the first 2 years. Another 4,000 in the next 12 months. Another 5,000 in just 3 months after that. AGIBOT is now shipping more humanoids per quarter than most US robotics companies have built in their entire existence. Then came the announcements the industry will spend the rest of the year reacting to. AIMA. The first full-stack open architecture for embodied AI. A unified robot operating system called Link-U, three dev platforms for motion, interaction, and task creation, plus an open agent framework. Any developer can build on top of it. This is the Android play for humanoids. GO-2. A vision-language-action foundation model with Action Chain-of-Thought reasoning. Planning and execution collapsed into one model. GE-2. A world model for simulation, strategy testing, and sim-to-real transfer. AGIBOT WORLD 2026. An open-source, production-grade real-world dataset pulled from actual industrial, logistics, hotel, and commercial sites. Seven standardized "productivity packages" covering logistics sorting, retail service, security patrol, commercial cleaning, and more. Plug, deploy, bill. A 5-year, $280 million commitment to seed a global developer and partner ecosystem. Now look at the competition. Boston Dynamics has been building humanoids since 1992. Tesla's Optimus is still climbing its own hype curve. Apptronik and Agility are well-funded but pre-scale on real deployments. AGIBOT has pulled all of this off in three years, with no acquisitions, no legacy platform, and no IPO distractions. While the West is still asking when humanoids will scale, China is already shipping them by the thousand.
Shruti214,939 views • 2 months ago
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