Vijay Rayapati

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Vijay Rayapati

Vijay Rayapati

@amnigos

CEO at @atomicworkhq. Earlier built @MinjarCloud, acquired by @Nutanix. Interested in AI, Business, Code, Design and Enterprise Software! #ಕನ್ನಡ #తెలుగు

Bangalore & Bay Area Katılım Temmuz 2008
1.7K Takip Edilen6K Takipçiler
Vijay Rayapati retweetledi
DP SATISH
DP SATISH@dp_satish·
Great that karnataka owned S Janaki Amma and honoured her. A national treasure.
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Gregor
Gregor@bygregorr·
@amnigos factories built middle class via pensions + unions, not just productivity. ai doesn't have that layer yet. watched a version play out in slovenia when manufacturing hollowed fast. some made the pivot, a lot didn't.
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Vijay Rayapati@amnigos·
India starts its AI decade at $3K per capita, whereas China started its internet decade at $2K. The upside scenario is historically unprecedented: the first country to build its middle class with AI without following the classic farm to factory to office ladder. The downside scenario is equally unprecedented: the first demographic dividend to expire against a technology that no longer needs the people.
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Prasanna K
Prasanna K@prasanna_says·
@amnigos Electrical machines in manufacturing are supply side :) Maybe we should discuss over beer instead of X 😜
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Vijay Rayapati@amnigos·
@prasanna_says Electrical machines like Internet are a demand-side technology. Internet alone created tens of millions logistics jobs for semi-skilled workers in China. AI is a supply-side technology.
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Prasanna K
Prasanna K@prasanna_says·
@amnigos Could say the same about electrical machines in China though when they were industrialising.. Augment vs replace is also something to be seen in practice..
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Vijay Rayapati
Vijay Rayapati@amnigos·
AI attacks BPO, junior coding, back office.The exact jobs that built India’s first cohort of middle class for the last 30 years while Value capture leaks outward. Foreign models, imported compute, GCC talent building for overseas P&Ls — India risks owning the ops layer while model rent$ accrue abroad.
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Vijay Rayapati@amnigos·
India sets the global price floor for intelligence. Hundreds of millions can’t pay $20/month, so they won’t and the Jio effect repeats. Free-tier, sachet-priced and cheap AI models will get invented in India.
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Vijay Rayapati
Vijay Rayapati@amnigos·
@prasanna_says India is adopting a labor-replacing technology while still being a labor-surplus country. Before mass industrialization. Before most workers hold formal jobs. And with almost 10 million people entering the workforce every year.🥲❤️‍🩹
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Vijay Rayapati
Vijay Rayapati@amnigos·
Happy 250th 🇺🇸. Every generation here reinvents how work gets done across the world. Railroads. Assembly. Finance. Software. Internet. Now AI. May the experiment continue for the next 250!
Vijay Rayapati tweet media
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Vijay Rayapati retweetledi
Steve Yegge
Steve Yegge@Steve_Yegge·
Ubering into downtown San Francisco, every ad looks like desperation. All agent stuff nobody will use. Haven't seen anything that a CIO should or would buy. It's all starting to look like the same ad.
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Vijay Rayapati
Vijay Rayapati@amnigos·
Thank you GLM 5.2 & @Zai_org for bringing back Mythos and Fable 5 online so quickly 😂
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Vijay Rayapati
Vijay Rayapati@amnigos·
Frontier level OpenSource AI is much needed to keep both closed model companies and govts in check. Delighted to see this from @PalantirTech 💜
Palantir@PalantirTech

Our thoughts on the importance of AI sovereignty. 1. Your AI sovereignty dictates your institution’s future. Sovereignty is the precondition for choice. Relinquishing sovereignty transfers the future choices of your institution to others, who are likely to exploit it for their gain and your loss. 2. Data retention is your treasure. Transfer it at your own peril. Your ability to win is dictated by your ability to recognize and use your unique edges, and you keep winning by compounding the underlying data to generate new insights. Transferring that data hands over access to your pre-existing winning plays and yields the means of production for new ones. 3. Tokenmaxxing hijacks your value orientation and decreases your institutional fortitude and intelligence. The pursuit of high token usage incentivizes disposable scripts over robust software — with the addictive feeling of false progress. There is a reason why those selling tokens refuse to charge based on value. 4. Controlling your weights is controlling your fate. Weights are the distilled form of hard-won, accumulated institutional knowledge. If you let others control your weights, you are allowing them to migrate the alpha of your business to theirs. 5. There is no contradiction between sovereignty and alpha. The architecture that maximally preserves sovereignty is one that enables institutions to own their tribal knowledge, and to compound it as alpha. 6. Politicizing the technical issues involving sovereignty is what your adversary wants. Techno-politicization is the wellspring of false sovereignty. Techno-politicization drives decisions that seem to reduce dependency, but ultimately limit agency — especially on the battlefield in the West. 7. Real expertise is existential. Allowing politics or favoritism to determine your technical decisions rewards whoever is best at politics, not whoever is right. Listen to those closest to the problems, not those speaking most compellingly about them. 8. Learn from institutions that are winning or that have consistently delivered. Institutions facing existential threats do not have the luxury of making technical decisions based on political preferences. 9. Only listen to institutions, countries, and people who have a proven record of being right. A track record of correctness is the best and only signal for future correctness. Judging something as right or wrong based on who you like is exceedingly misguided.

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Vijay Rayapati retweetledi
Atomicwork
Atomicwork@atomicworkhq·
Most IT teams are slow because the work never stops, and the team never grows. What our CEO @amnigos is describing is a structural change - AI coworkers that sit in your IT function and handle work end to end, the moment it arrives. No queue, no handoff, no waiting for someone to come online. The coverage gap that every IT leader knows — nights, weekends, time zones, stops being a gap. 10x as a consequence of AI coworkers that actually hold a job function! Read about the AI Workforce here 🔗 atomicwork.com/blog/ai-workfo…
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Vijay Rayapati@amnigos·
Enterprise AI is still Gen 1. The real prize is Gen 3, around 2030. Haven't started yet? Relax - you're early, not late :)
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Vijay Rayapati retweetledi
aacash.eth - Aakash Kumar
aacash.eth - Aakash Kumar@RTinkslinger·
The pursuit of efficient frontier on human capital has been hard, and AI makes it achievable. Every growth oriented co, makes 20-30% redundant/over hires and then maybe weeds out at 70-80% efficiency at best. Thats a 6-10% drag which compounds! This is w/o factoring the second order effects of ‘organisational obesity’. That is the transformative impact of AI that is often overlooked/under estimated!
Vijay Rayapati@amnigos

AI isn't a tool you buy for the technology. It's an operating model you design for the business. Run a company long enough and you realize the CEO and CXOs job is mostly one thing. Resource Allocation. Where the capital goes. Where the people go. Get those two right over a decade and you build something great. Get them wrong and no strategy deck saves you. But there's a part we never said out loud. Only one of those was ever truly "allocation." Capital you could move. People you could not. So when demand spiked, we overworked the team we had. When it dropped, we cut the team we built. Our people absorbed every swing in the business. That was never smart. Headcount sat in the OpEx column, but it behaved like CapEx. Every hire was a multi-year commitment for the business. Months to recruit, months to ramp, real cost to unwind. So we hired for the peak and carried it through the trough, and people paid for the math either way. AI coworkers change the shape of this. Not by replacing the team. By giving it a layer it can lean on. Your people are the baseline. The judgment, the relationship context, the accountability, the taste and judgement for what good looks like. That's the part you invest in and keep. AI coworkers are the expansion layer. The capacity that flexes up when the work surges and settles back when it passes. So the volatility moves off your people and onto the elastic workforce layer. That sounds like an HR story of AI workforce for IT but it's also a finance story too. The human baseline stays a long-term investment, the part of the company worth committing to. The variable load on top becomes a real OpEx decision, handled by AI coworkers that scale to the work in front of you instead of the forecast you made last December. Three things change the day you take this seriously. Your people stop being the surge capacity. They stop covering volume they were never meant to carry, and get to do the work only humans can. You stop hiring and firing through every cycle. You can grow into a new market or a heavy quarter without over-hiring people you may have to let go when it slows. And the question changes. Not "how many people do we add or cut this year," but "what is the human core worth protecting, and how much AI do we build around it." The C-suite job isn't shrinking. It's getting bigger to redesign the operating model of every business. We've always allocated capital. Now we allocate capacity around our people, not instead of them. The companies that win will treat their people as the foundation they build on, and let AI carry the swings. Time to think of AI as a workforce strategy for the business not just a productivity workflows strategy. This vision is what we are building towards at @atomicworkhq.

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Atomicwork
Atomicwork@atomicworkhq·
Your job description just became your job done. Describe what you need, and Atomicwork builds the AI coworker with the skills, tools, budget, and reporting line included. And voila, you have a Network monitoring that never clocks out! This is what the AI workforce looks like!
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