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Anil Chaudhary
3K posts
Anil Chaudhary
@simbatheesailor
A Cocktail 🍸 of software, product and 90s songs. Opinions are my own, not my employer's ⛹️🏃 @Google Search
Bengaluru South, India Beigetreten Temmuz 2014
1.8K Folgt150 Follower
Same stress you go through at time with assisted coding like the same way you would feel working with incompetent engineer.
Agi is far away in general any serious work is just step function of
human judgement.
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@HelleLyngSvends How can you put such s nonsensical comment ?
Can't help a mind who is not asking truth but seeking something else
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Primeminister of India, Narendra Modi, would not take my question, I was not expecting him to.
Norway has the number one spot on the World Press Freedom Index, India is at 157th, competing with Palestine, Emirates & Cuba.
It is our job to question the powers we cooperate with.
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@KianSadeghi5 This is pretty unviable product and just not user friendly
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For new founders this is a great reference of what a high quality launch video looks like.
Notice he doesn't say "AI" anywhere, you know watching it is AI – he doesn't need to say it.
Also notice the simplicity. It is so simple. I could give this to an 8th grader and they would understand. Lastly, tasteful and good audio/video. Impressed.
Mark™@thinkwithmark
We raised $1M dollars to reinvent how people read. Introducing Mark II - a $159 AI bookmark. Thread below
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@RandeepHooda sir appne macha diya hai naye season me . Keep it up. Always fun to watch your shows
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While the world was distracted by AI, India just became the world leader in cheese.
Narendra Modi@narendramodi
Cheese from India makes its mark globally… India made an impressive debut at the Mundial do Queijo do Brasil 2026, which is a vibrant international competition for cheese and dairy products. Four Indian products won medals, including 1 Super Gold, 2 Golds and 1 Silver. The Super Gold was won by Eleftheria Gulmarg (Brie Style), the Golds were won by Yak Churpi-Soft, Nordic Farm, Leh, Ladakh and Eleftheria Brunost (Whey Cheese) while the Silver was won by Eleftheria Kaali Miri (Belper Knolle Style). Congratulations to Mausam Narang and Thenlay Nurboo. Such successes strengthen India’s artisanal dairy sector on the world stage.
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Introducing USVC - a single basket of high-growth venture capital, for everyone.
No accreditation required, SEC-registered, and a very low $500 minimum.
Includes OpenAI, Anthropic, xAI, Sierra, Crusoe, Legora, and Vercel. As USVC adds more companies, investors will own a piece of that too.
Liquidity typically comes when companies exit, but we’re aiming to let investors redeem up to 5% of the fund every quarter. This isn’t guaranteed, but if we can make it work, you won’t be locked up like in a traditional venture fund.
It runs on AngelList, which already supports $125 billion of investor capital.
And I’ve joined USVC as the Chairman of its Investment Committee.
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Go back to the 1500s, you set sail for the new world to find tons of gold - that was adventure capital.
Early-stage technology is the modern version. It says we are going to create something new, and it’s risky. It’s daring.
But ordinary people can’t invest until it’s old, until it’s no longer interesting, until everybody has access to it. By the time a stock IPOs, most of the alpha is gone. The adventure is gone. Public market investors are literally last in line.
This problem has become farcical in the last decade. Startups are reaching trillion dollar valuations in the private markets while ordinary investors have their noses up to the glass, wondering when they’ll be let in.
Investing in private markets isn’t easy. You need feet on the ground. You need judgment built over years. Most people don’t have the patience to wait ten or twenty years for an investment to come to fruition.
But there is no more productive, harder-working way to deploy a dollar than in true venture capital.
USVC enables you to invest in venture capital in a broad, accessible, professionally-managed way, through a single basket of innovation, focused on high-growth startups, at all stages.
It is how you bet on the future of tech: the smartest young people in the world, working insane hours, leveraged to the max, with code, hardware, capital, media, and community. Your dollar doesn’t work harder anywhere.
There is an old line - in the future, either you are telling a computer what to do, or a computer is telling you what to do. You don’t want to be on the wrong side of that transaction.
USVC lets you buy the future, but you buy it now. Then you wait, and if you are right, you get paid.
Get access here:
usvc.com
AngelList@AngelList
Announcing: USVC AngelList exists to power the innovation economy. To date, we have powered $125 billion in assets, 25,000+ funds, and 13,000+ startups. Today, we’re opening it for retail access. @usvc_ is a regulated fund that holds stakes in promising private companies. There are no accreditation requirements and anyone can get started with as little as $500. Early portfolio includes xAI, Anthropic, OpenAI, Sierra, Vercel, Crusoe, and Legora. Own a stake in the companies defining the future. Learn more: usvc.com
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@0xN1nja When you only have one rack or whatever , how can you say you are running AWS here. Getting ahead of youself
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since everyone was asking what do i run on my homelab, i have documented everything here - 0xn1nja.dev/homelab
feel free to give thoughts
Abhimanyu Sharma@0xN1nja
started with a raspberry pi, now i run an entire AWS region at home
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@AstroCounselKK @vipul2777 I think I will just let it go
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If something like this happens with you ..
Know what you have to do immediately after that..
Watch & Share for all..
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Jensen Huang just had the most important argument in tech on Dwarkesh Patel's podcast. The topic: should the US sell Nvidia chips to China?
Jensen says yes. His reasoning is terrifying — not because he's wrong, but because he might be right.
Dwarkesh's argument is intuitive and clean. American export controls limit China's access to advanced chips. Less compute means China trains weaker models. Weaker models mean the US maintains its AI advantage. Don't sell them the tools to beat us.
Jensen's counter demolishes the premise.
"Their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance."
DeepSeek proved the thesis wrong in real time. China, constrained by export controls, didn't fall behind. It innovated around the constraint. Built more efficient architectures. Trained competitive models with less compute. The export controls didn't create a capability gap. They created an efficiency gap — in China's favor.
Jensen's actual fear isn't that China builds good models. It's that China builds an entire tech stack that doesn't include Nvidia.
"The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation."
This is the kill line. Jensen isn't worried about China having AI. He's worried about China having AI that runs on Chinese hardware. Because if China's models optimize for Huawei chips instead of Nvidia chips, and those models are open-source, and they diffuse to every country in the Global South — India, the Middle East, Africa, Southeast Asia — then the entire world's AI stack runs on Chinese infrastructure. Not American.
Computing ecosystems are sticky. Jensen compared it to x86 and Arm — architectures that persist for decades because switching costs are enormous. If the developing world builds its AI infrastructure on Chinese chips running Chinese models, that's a lock-in that lasts a generation. America doesn't just lose the Chinese market. It loses every market that China reaches first.
Dwarkesh pushed back: Tesla sold EVs to China and China still built its own. iPhones are sold there and Chinese smartphones dominate. Why would chips be different?
Jensen's response: "We are not a car. Computing is not like that. There's a reason why x86 still exists."
He's right. You can switch car brands overnight. You cannot switch computing architectures without rewriting your entire software stack. The lock-in is structural, not preferential.
"China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia's. Fact."
Today. Built on Nvidia. But export controls are pushing China to build its own stack. And once that stack exists and open-source models are optimized for it, the migration away from Nvidia becomes irreversible.
Jensen's prediction: "In a few years, when we want American technology diffused around the world — out to India, out to the Middle East, out to Africa — I will tell you exactly about today's conversation, about how your policy caused the United States to concede the second largest market in the world for no good reason at all."
The CEO of the most important semiconductor company on earth is telling US policymakers that export controls are achieving the opposite of their intended effect. Not weakening China's AI. Strengthening China's incentive to build a competing ecosystem that eventually replaces American technology globally.
This is the Renault problem applied to chips. You can't protect your position by refusing to compete. You can only accelerate your competitor's motivation to replace you.
The most dangerous export control isn't the one that fails to stop your adversary. It's the one that succeeds in making them build something better without you.
Dwarkesh Patel@dwarkesh_sp
Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.
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@karrisaarinen Speed will always be more favourable than best quality. You can't choose to be an exception; the rules of the game have changed.
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I keep thinking I miss having someone like Steve Jobs in the industry.
He had some standards. He cared about quality, coherence, and making great products. He could be ruthless and he had plenty of flaws, but it still felt like he and Apple were trying to make something genuinely great above all else. They had their opinions and you could respect that. They didn't try to force you, but make their case why they think it's good.
Now tech feels driven by trend chasing, fear, scale, revenue comparisons, endless games and everyone talks their book. Investors come first, business goals next, and users last if not at all.
I wish there would still someone like Steve still around
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Goals aren't productivity hacks. They're what make us human. AI isn't taking our jobs — it's forcing us to ask what we're actually here for.
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It is dead , pack your moats whenever possible. If you can express it you can build it
Bailey Pumfleet@pumfleet
Open source is dead. That’s not a statement we ever thought we’d make. @calcom was built on open source. It shaped our product, our community, and our growth. But the world has changed faster than our principles could keep up. AI has fundamentally altered the security landscape. What once required time, expertise, and intent can now be automated at scale. Code is no longer just read. It is scanned, mapped, and exploited. Near zero cost. In that world, transparency becomes exposure. Especially at scale. After a lot of deliberation, we’ve made the decision to close the core @calcom codebase. This is not a rejection of what open source gave us. It’s a response to what risks AI is making possible. We’re still supporting builders, releasing the core code under a new MIT-licensed open source project called cal. diy for hobbyists and tinkerers, but our priority now is simple: Protecting our customers and community at all costs. This may not be the most popular call. But we believe many companies will come to the same conclusion. My full explanation below ↓
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We scroll. We read a birthday wish from a leader's profile.
"Waah, kya likha hai!"
Sir, a babu wrote that at 9 AM on a Monday.
We've replaced authenticity with managed accounts and call it connection.
The bot is performing. We're applauding.
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You need to understand one fact about OpenClaw
People are biased and incentivized to spread disinformation about OpenClaw. That is because OpenClaw IS NOT PUMPING ANYONE’S BAGS, unlike most other projects
Literally every other for-profit agent product is incentivized to trash OpenClaw, BECAUSE OpenClaw is a neutral third party across the industry and geopolitical scene. They MAKE MONEY when OpenClaw loses
OpenClaw does not worry about making money for some investors. Its founder @steipete is a successful exited founder. He is motivated by having fun and democratizing AI, literally. That is why he is suddenly so loved by everyone. He cares about PEOPLE, not MONEY
“OpenClaw is bloated”
-> Since beginning of March, OpenClaw is thinning its core and putting functionality in plugins behind a plugin SDK. Having numerous plugins to choose from does not mean bloat. This was already copied by others and is still a work in progress
“OpenClaw is not secure”
-> OpenClaw has the most eyeballs and immediately addresses any security advisories as soon as they come. It is the most secure agent, by sheer pressure
“OpenClaw is bought by OpenAI”
-> Then why is my bank account so empty bro??? All maintainers are literally unpaid and working DOUBLE beside their dayjobs to ship features to you. Do you think VC money can buy that kind of commitment?
Once you understand these facts, you’ll like OpenClaw even more. Because OpenClaw is your AI, People’s AI
And you can join us too. OpenClaw is the easiest-to-join project in AI right now. You just need to start using it, and start making good contributions. If you are competent, you can become a maintainer, and join the rest of the team making history!
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@Steve_Yegge Check if your buddy really works at Google 🤣🤣. Because it's a completely different story here.
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I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year.
The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too.
But why is Google so... average? How is it that a handful of companies are taking off like a spaceship, and the rest, including Google, are mired in inaction?
My buddy's observation was key here: There has been an industry-wide hiring freeze for 18+ months, during which time nobody has been moving jobs. So there are no clued-in people coming in from the outside to tell Google how far behind they are, how utterly mediocre they have become as an eng org.
He says the problem is that they can't use Claude Code because it's the enemy, and Gemini has never been good enough to capture people's workflows like Claude has, so basically agentic coding just never really took off inside Google. They're all just plodding along, completely oblivious to what's happening out there right now.
Not only is Google not able to do anything about it, they don't seem to be aware of the problem at all. I'm having major flashbacks to fifty years ago as a kid at the La Brea Tar Pits, asking, "why can't they just climb out?"
My Google friend and I had this conversation over a month ago. I didn't share it because I wanted to look around a bit, and see if it's really as bad as all that. I've been talking to people from dozens of companies since then. And yeah. It's as bad as all that.
Google is about average. Some companies at the bottom have near-zero AI adoption and can't even get budget for AI. They may have moats and high walls, but the horde is coming for them all the same.
And then there are a few companies I've met recently who are *amazingly* leaned in to AI adoption. One category-leader company just cancelled IntelliJ for a thousand engineers. That's an incredibly bold move, one of many they're making towards agentic adoption. In my opinion, that company is setting themselves up for a _huge_ W.
As for the rest, well, it's the Great Siloing. Everyone's flying blind. With nobody moving companies, no company knows where they stand on the AI adoption curve. Nobody knows how they're doing compared to everyone else.
Half of them just check a box: "We enabled {Copilot/Cursor} for everyone!" Cue smug celebrations. They think this is like getting SOC2 compliance, just a thing they turn on and now it's "solved." And they don't realize that they've done effectively nothing at all.
All because of a hiring freeze.
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Orcas eat great white sharks. They hunt seals, dolphins, and baby whales. They have never killed a single human in the open ocean. Not once, in all of recorded history.
An orca's brain weighs up to 15 pounds. Yours weighs about 3. They have roughly double the brain cells we do in the regions that handle complex thought. A neuroscientist at Emory named Lori Marino put an orca brain in an MRI and found these animals can tell different species apart underwater. They do it by sending out clicks that bounce off everything around them and come back as a kind of 3D sound map (this is called echolocation). From 500 feet away, an orca knows you're a human and not a seal. It skips you on purpose.
The answer is culture. Orcas around the world are divided into at least 10 separate populations, each with its own food rules, its own language, and its own way of hunting. All of it learned from their mothers. One population eats only fish. Another eats only marine mammals like seals and sea lions. These two populations can live in the exact same water and never swap a single meal. A baby orca learns what food is from its mother, and that list stays the same for life.
In the Pacific Northwest, one population called the Southern Residents eats almost nothing but Chinook salmon. Scientists have documented them killing harbor porpoises 78 times over six decades, carrying the dead porpoises in their mouths, and never once eating them. Even when the group was starving. A 2023 study in Marine Mammal Science looked at all 78 cases and concluded it was play. These orcas would rather go hungry than eat something their culture says isn't food.
Researchers studying whale behavior in 2001 found that orca cultural traditions "appear to have no parallel outside humans." Each family group has its own dialect, its own version of the language. Calves spend about two years just learning how to make all the sounds their family uses. Mothers will slow down a hunt on purpose so their young can watch.
In 2005, a 12-year-old kid was swimming in Helm Bay, Alaska when an orca came at him full speed. At the very last second, the orca seemed to realize it was charging a human. It bent its entire body in half and turned back to open water. In captivity, it goes differently. SeaWorld's Tilikum killed three people during his life in a concrete tank. Research from 2016, published in the journal Animals, traced it to psychological collapse from being locked away from the family bonds orcas need to stay stable.
I think calling this a "mystery" undersells the science. Orcas decide what to eat based on culture, not instinct. No orca mother has ever taught her calf to hunt humans, so no orca hunts humans. Only about 75 of those salmon-eating Southern Residents are still alive. Their pregnancy failure rate is 69% because we've destroyed their salmon runs. They won't break their food culture to survive. Whether we care enough to protect theirs is the part that actually matters.
Nature is Amazing ☘️@AMAZlNGNATURE
One of the biggest mysteries to me is how Orcas, the ocean’s most efficient predators, have never attacked humans in the wild… almost like they know something we don’t.
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@ajeetbharti Trash is trash , you cannot use trash and use it as an example
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Brilliant take! When fight is not fair, and you know it is not fair, look to survive.
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@ajeetbharti This doesn't justify the extreme vulgarity for their own gain.
Stupidness can be covered with these jokers with another stupidness.
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