eng at @microsoft | On PM Youtube Channel | @iitdelhi | @google Developer Expert | JAPAN SSP ALUMI | National Awards In AI🥇|Panelist with PMO | Polymath ❤️

San Francisco, CA
Hey I’m Ashish heres a quick intro > Celebrated a festival with President of India > dropped out of IIT delhi > hosted a program with prime minister of india and on his yt channel > Youngest google developer expert > worked in multiple ai startups while in school and first year of college > cracked jee adv and got into iit delhi > dropped iit and joined Microsoft as their youngest engineer in IDC > paper got published into springer nature magazine. > India skills medalist in web technologies > Featured in japan bunkyo news paper as a person who bridges india and japan tech innovation > Featured in sakura science magazine > Given 50+ talks across companies, IITs, MNCs Full timeline on my twitter bio 🙌
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Ashish Kumar Verma retweeted
Microsoft shipped a really compelling product on top of @OpenClaw today. We worked with them since March to make the codebase ready for large-scale deployments, they are a great partner and open-source contributor. 🙏🦞
Today we announced the preview of Microsoft Autopilot is rolling out to our first customers - "Autopilot is a persistent, proactive and personal agent that keeps working even when you’re not" It's been a while since I updated you all on what we are building. First Scout is now Autopilot, and my team leads building this personal agent. We are building Autopilot on @openclaw, working with @steipete and the OpenClaw Foundation to make it a fantastic enterprise grade runtime. blogs.microsoft.com/blog/202… Re-introducing Sebastian, my Autopilot - and he is as excited as I am!
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Microsoft an evolution: A 3-min short film on 51 years of Microsoft, researched, written and edited by AI agents in GitHub Copilot from one kickoff prompt. 22 agents, ~120 sub-agents, ~5 hours, 2.35B tokens ( 97.2% cache reads ). None of them ever heard the music.
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getting direct mentorship from that "just one engineer"
Just one engineer and a team of agents ported the GitHub Copilot agent runtime to Rust, shipping 800,000 lines of production code while retaining code quality. 🚀 How it worked 👇 github.blog/ai-and-ml/genera…
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Me and Padmashree Anand Kumar Sir from Super30 movie, releasing a podcast. From watching super30 to now sharing platform with the man and inspiration himself ❤️✨🙏
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best proxy providers? any recommendations?
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Why its dangerous to solve problems purely with AI.
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whenever you reach to a solution with the help, you've a new question to solve, but if you offload all that think completely to AI you just end-up with a solution and thats dangerous.
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Where are those people who were doing - loop engineering - graph engineering - loop-graph engineering all done burning tokens? lol 😂
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thankkk youu so much for the incredible experience !! 🙏 ✨ Looking forward for continued amazing collaboration between India and Japan in STEM ! ♥️♥️
2023年度さくらサイエンス・ハイスクールプログラム(SSHP) の参加者、アシシュ・クマールさんの手記です!!🌸🌸 #sakurascience #さくらサイエンス
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Bhopal ! I love it !
Fable 5.1 Build Days start this week. The Claude community is hosting buildathons in cities all around the world from September 11–25. Bring a problem, an idea, or just show up and see what's possible. RSVP at luma.com/claudecommunity?tag…
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Steve Jobs predicted ChatGPT in 1985.. He would've loved AI.
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Do you trust an AI more when it pauses to "think" or you don't care you need answers instantly?
90% Pauses to "think"
10% Answers instantly
20 votes • Final results
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herdr multiplexer is crazy
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One of the world’s most reputed science clubs, Sakura, Japan, featured my story; meeting India’s Prime minister, my work, and going from an IIT Delhi dropout to youngest Microsoft’s eng and google dev expert, and my life insights. Thank you very much @ssp_kouhou ! 🇮🇳❤️🇯🇵
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php and laravel community are living completely isolated in their own bubble...
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$200 and still Dumb... A 1 hour masterclass into AI Intuition with latest models being so advanced.
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Ashish Kumar Verma retweeted
Met @imdigitalashish today and we talked at length about Opus and Sol, which one is better. “Which model do you like” is going to be the new “how is the weather?”
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always write what not to do at the top along with the task main objective of the task, because what to do is anyways in the long horizon task dataset on which models are being RLHF, so this way attention is aligned on your primary goal :)
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