Executing - one breath at a time CTO @ Atma | Ex - Head of Engineering @ https://xitter.cf/t.co/2wG3K8piEg | AI | KMM | Distributed Systems | DevOps | Automation | Dad | RYT200

Bengaluru, India
Joined April 2009
Abhinandan Kothari retweeted
Just another Sunday afternoon in SF: I paid $60 for 2 humanoid robots to clean for an hour. Here's how it went: (1) What happened: Sergey and Chelsea (the names of the two robots) finished about 80% of one floor in an hour: tidying, wiping down surfaces, vacuuming, mopping, cleaning the toilet. - They came with a staff engineer at the company, who dropped them off and picked them up after an hour. - They were controlled by 1 human operator each, in the Mission where the company office is at. - The engineer gave me a number to text them, I texted a request to wipe the mirror. They did it. (2) Performance and dexterity: Chelsea dropped a toy, struggled with a pillow, and had trouble balancing on the playmat. But overall, for all the tasks they did, grippers were enough. 5 fingers were not needed. - The engineer told me the hardest task for them was making bed. - They were quite loud, stomping around the house. Took a bit of time to get used to. They both wore gripper socks which protected the floors and helped them not slip. - Interaction: I didn't know they can respond via voice. In the end they were conversing with us in voice which was nice. (3) Unexpected observation: Their pants and shirts have holes in them. It's because they were dragged on and off the vans that transported them. (4) Other user feedback: I shared my experience with some friends afterwards. A user told me that unloading dishwasher was an "advanced task". They didn't attempt at mine since it was running at the time they were working. Another user said they scratched their hardwood floor. That's probably why they now wear gripper socks. (5) Did they do as well as human cleaners? In terms of the tasks they did, I think so. In terms of speed, they were ~80% speed of humans when it comes to the more delicate tasks, but I would say they are quite smooth. They didn't finish the whole place, so it wasn't a full service. (6) How does the math work out? Each booking was only for 1 hour, since their batteries need to be swapped after 1 hour. So they didn't finish the place. For a user: In SF, it's ~$200-220 to clean a full home around my neighborhood, with two human cleaners. Usually it takes around 2.5 hours. So around $40/manhour. This is $30/robot hour. Slightly cheaper, but again it's not fully finished with the 1 hour they were available. For the company: It took 2 robots, 2 human operators, 1 staff member to dropoff/pickup, and 1 driver of the van to transport the robot. Definitely labor intensive. But they also retain the data they collect for training purposes. (7) My biggest takeaway as a user: interaction / hospitality mattered. One of the humanoids was more friendly (Sergey), he waved at us when he came in. It'd have been great if they both introduced themselves in the beginning. Beyond that, being able to do 2 hour slots (instead of one) would be great to finish the cleaning. Overall, I appreciated their work and the fact that they got the robots out in people's homes. Deployment is not easy and so much learning from it each time
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Abhinandan Kothari retweeted
🚨 This is how AI models are getting trained in India.
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Abhinandan Kothari retweeted
Building casual games will be the next big trend. No AI costs. No API costs. Just store everything directly in users’ iCloud. And there are so many ways to monetize: rewarded ads, in-game purchases, remove-ads packages, and more. But I still have no idea how to market my game lol. I’ll try organic first before running paid ads.
Just found an indian studio making $1,100,000/month with 27 apps They’re all sudokus, crosswords, word searches… targeting older audiences always works
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Abhinandan Kothari retweeted
BREAKING 🚨: India Indian Stock Market now underperforming the S&P 500 by the largest margin in history 📉 📉
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Abhinandan Kothari retweeted
We're releasing native Remote Build Cache support for Moon! It's free for open source.
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Abhinandan Kothari retweeted
Delta is now in public beta. It’s a multiplayer environment for coding with agents and reviewing what they build, with every code change linked to the conversation that produced it. Anyone can download it today on macOS, Linux, and Windows: delta.dev/download
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Abhinandan Kothari retweeted
Bengaluru: A tanker ran over a bike while trying to avoid potholes. Look at the condition of the road.
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Abhinandan Kothari retweeted
Wanna run hassle free agents - whether @openclaw or Hermes - use @getclawstation :-) Retweet please :)
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Abhinandan Kothari retweeted
NEW: @Garmin just launched a screen-free fitness band with no subscription. CIRQA is built for people who want health, sleep, and workout tracking without wearing another screen on their wrist. -Tracks heart rate, Body Battery, Pulse Ox, stress, skin temperature, and more -Auto-detects activities and gets smarter as you confirm them -Includes sleep score, HRV, respiration, nap detection, and recovery insights -Training readiness, VO2 max, training status, workout benefit, and recovery time -Gets up to 10 days of battery life Priced at $199.99 with no subscription required.
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Abhinandan Kothari retweeted
Everyone's watching the frontier race. The sleeper race is on-device. Gemma 4 running fully offline, vision and tool use, on your own hardware. No API, no bill, nothing leaves the machine. The cheapest tier just got scary good. Most tasks were never worth frontier prices.
Gemma 4 now works on-device using React Native! You can now run Gemma 4 fully offline in your cross-platform apps with local hardware acceleration: ⚡ Vulkan delegate on Android ⚡ MLX delegate on Apple Silicon See Gemma 4's vision and tool-use capabilities in action, instantly reading a flyer and scheduling a calendar event, 100% on-device.
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Abhinandan Kothari retweeted
Apple just made Docker Desktop optional on Mac. And it is completely free. This is apple/container. 26.5k stars no Github. You can now run Linux containers natively on your Mac without installing Docker Desktop, without a background daemon hogging your RAM, and without paying $21 a month per developer for a commercial license. Here is what it does: → Runs Linux containers as lightweight VMs directly on Apple Silicon using macOS 26 virtualization → Fully OCI compatible. Pull any image from Docker Hub, GitHub Container Registry or anywhere else → Written in Swift and optimised specifically for Apple Silicon. Faster and lighter than anything Docker Desktop does on Mac → Standard container CLI syntax. If you know Docker commands you already know how to use this → Push images you build to any standard container registry and run them anywhere Docker Desktop charges $21 per developer per month for commercial use. Apple's version costs nothing and ships as open source under Apache-2.0. Microsoft made Docker Desktop optional on Windows with WSL Containers last month. Apple just did the same on Mac. Docker is not going anywhere. But the era of paying for a GUI wrapper around containers on your own machine is quietly ending. Repo here: github.com/apple/container
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Abhinandan Kothari retweeted
#scamalert Beware Amazon Gift cards on @ZeptoNow dont work. @zeptocares closes support window in 3 days. no way to contact them.
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Abhinandan Kothari retweeted
Welcome to the permanent underclass, graduates. joke aside: China is rapidly restructuring higher education for the AI era: from 2021 to 2025, universities cut or suspended 12,200 "obsolete" undergraduate programs and launched 10,200 new ones, reshaping over 30% of all degree programs. The goal is to shift away from less job-aligned fields like arts and languages toward tech-focused disciplines tied to China’s industrial strategy, future industries, and worsening graduate unemployment crisis. China is going all-in on AI, including in science. A significant proportion of scientists already come from China today. By the way, it will be interesting to see how the situation regarding access for Chinese researchers and Fable 5 plays out in the future.
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Abhinandan Kothari retweeted
Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.
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Abhinandan Kothari retweeted
Good morning Bangalore! But that's only if your WFH. If you're heading to office anywhere in the IT corridor, you couldn't have picked a worse day. Every one of those peaks is a Tuesday. And last Tuesday particularly was THE WORST. Source: co.thecontrarian.in/
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Abhinandan Kothari retweeted
This is amazing, Former President himself said that @nadiemmakarim is a good person, and all policies and program were indeed implemented as per President's office. youtube.com/shorts/2tK9Vaceo… Use translation, if you can't understand Bahasa Indonesia. #FaktaNadiem Thank you so much Mr. President en.wikipedia.org/wiki/Joko_W…
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Abhinandan Kothari retweeted
Claude Code eng leader @Nerdi_Yogi on the two profiles she's hiring for now: 1. Creative builders with product sense 2. Deep systems experts (for the hard parts)
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Abhinandan Kothari retweeted
We’ve agreed to a partnership with @SpaceX that will substantially increase our compute capacity. This, along with our other recent compute deals, means that we’ve been able to increase our usage limits for Claude Code and the Claude API.
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Abhinandan Kothari retweeted
Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models.
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