Nivedita Pandey

@peyushbansal why is @Lenskart_com collecting store visitor face scans for no clear reason and without clear information and consent ? I hate fighting the store staff, I suspect this weird move is happening on management’s instructions

@Lenskart_com have visited ur store 3x last 3 weeks.Each time my face scan is taken for no clear reason by ur sales guys saying they are asked to track visitors. I suspect they don’t know the clear reason & u r collecting facial imagery for AI training without customer consent ?

The recent marital distress related suicides all over Indian news has led me to pen down my thoughts over what I consider to be one of the underlying causes of - trying too long… open.substack.com/pub/mindunrule…

Webinar with market leading Swiss AI Firm Squirro: AI Readiness - Why 75% of AI Projects Fail and How to Get It Right youtu.be/Kw0LkPl5Dco?si… via @YouTube

Bernstein just wrote an open letter to India's Prime Minister — and it is asking some hard questions. (23rd April India Strategy note) 👇 1/ The employment question is existential, not cyclical - India's 10–15 million strong IT/BPO workforce — the backbone of the aspirational middle class — is directly in Gen AI's crosshairs. Manufacturing can't absorb the slack at current trajectory. The real question: does the next growth leg create engineers and product builders, or mostly drivers and delivery staff? 2/ Agriculture is stuck in a 1970s policy loop 42–45% of the workforce. 15–16% of GDP. - Below 1-hectare average holdings. Monsoon-dependent farming. Loan waivers instead of reform. The farm laws rollback made things harder, not less necessary. Rs 3–4 trillion in annual input subsidies need to shift toward post-procurement income transfers — and cold storage/logistics investment is not optional anymore. 3/ India risks becoming a permanent AI consumer, not a creator - Data centers are not a strategy. India doesn't own a single frontier AI model. If Indian data keeps training US and Chinese models while domestic capability goes unbuilt, the IT services sector hollows out with nothing to replace it. Bernstein's ask: fund domestic foundation models, build compute capacity, and push global AI companies to list in India — sharing value with the public. 4/ Manufacturing ambition keeps outrunning manufacturing depth - PLI created momentum, but the share of manufacturing in GDP is still stuck at 16–17%. Even in EVs, battery cells — 30–40% of cost — are largely imported from China. The pattern of late entry into industries after global supply chains are already formed needs to break. The next bet must be placed before the race is lost — automation, robotics, advanced materials, AI-integrated manufacturing. 5/ Cash transfer schemes are quietly crowding out capex - Women-only cash transfers across a dozen-plus states now total Rs 1.7–2.5 trillion annually — roughly 0.5% of GDP — and rising. In some states, these schemes absorb 2–3% of GSDP, squeezing infrastructure budgets. Bernstein isn't saying scrap them — targeted support has a role. But election-synchronised, unconditional, permanent transfers risk locking India into a low-productivity equilibrium where taxes fund today's consumption instead of tomorrow's capabilities. 6/ R&D spend of 0.6–0.7% of GDP is not a serious number for a country with semiconductor ambitions Merit-diluting reservation policies are hollowing out research institutions. Without fixing the talent pipeline and funding base, aspirations in AI, deep tech and semiconductors remain exactly that — aspirations. Bernstein's closing line: "India does not lack capital, talent, or ambition. What it requires now is a sharper willingness to take difficult decisions early, rather than defer them. The window to act is still open, but it is narrowing." #nifty #india #stockmarket #investing -------------------------------- Informational only. Not investment advice. Investments subject to market risk. | GoIndia Advisors LLP | SEBI Registered Research Analyst | Reg. No. INH000020040 | SEBI (RA) Regulations, 2014. For Serious Investors → goindiastocks.com Follow us for more insights.

@claudeai what’s this ?

@claudeai despite being well within my Pro plan usage limits, your service is unusable (desktop app & web) & giving incorrect error messages. Your support bot is giving irrelevant best practice advice that doesn’t apply here. Very disappointed by rapid product degradation

@claudeai Thanks for the March 2x promotion. Except for few glitches, worked amazing for builders like me. Sad that’s over, happy that I can sleep at normal hours here in Asia, without 2x FoMo. 1x might never feel good again ;)

@ICICIBank - ur customer care called to nudge me to apply for ICICI - Amazon Pay credit card. As we went through the application flow together, I shockingly discovered 2 mandatory fields - Caste & Religion. Why do you need my caste to evaluate my CC application ? @ajeetbharti

One thing I'm convinced of: you can't trust the beliefs of anyone whose career depends on being liked. Celebrities, influencers, politicians. Their opinions aren't opinions. They're survival strategies. The only beliefs worth trusting cost something to hold.

@anishmoonka 38K processors running ? GPUs ? In what world ? There is lisence raj kinda bureaucratic process to apply for access. Lot of GPUs haven’t been allocated yet. Students and startups who need it - haven’t got access to them. 38 K is committed/ planned, not allocated/ in-use.

If you're an AI startup in India, renting processing power from the government to train your model costs about $0.7 per hour. The same hardware on Amazon Web Services costs $3.7. On Microsoft Azure, $6.6. The Indian government is subsidizing AI infrastructure at rates that would make most Western startups do a double-take. I read all 26 pages of the white paper this tweet links to. The numbers inside are wild. The IndiaAI Mission has a budget of about $1.2 billion over five years, approved in March 2024. Almost half of that, roughly $500 million, goes straight to building the processing power AI companies need to train their models. The original plan was to deploy 10,000 processors. By December 2025, they had 38,000 running. 3.8x what they promised. A government open call in January 2025 pulled 506 proposals. The four startups picked first were Sarvam AI, Soket AI, Gnani AI, and Gan AI. Eight more were added by September. India now has 12 separate teams building AI models, ranging from tiny ones for basic chatbots to massive ones rivaling those from the US and China. They cover language, voice, vision, medical diagnosis, material science, and even brain-computer interfaces. The one I keep coming back to is Sarvam AI. They raised $41 million from Lightspeed, Peak XV, and Khosla Ventures. In May 2025, they released a model built on top of a French AI system (Mistral Small) and customized for Indian languages. It got roasted online. Critics said it was a foreign model in Indian clothing. So they went back and built Sarvam-105B completely from scratch, using Indian hardware under the government mission. It outperformed China's DeepSeek-R1 on certain tests, even though it was a model six times larger. Both were released for anyone to download and use in March 2026. There's something else buried in the paper I haven't seen another country try at this scale. India is building a copyright system specifically for AI training data. Under a December 2025 government proposal, AI companies can train their models on any copyrighted content they can legally access, books, articles, music, anything. Creators cannot say no. But the moment an AI product makes money, royalties are collected by a centralized government body and distributed back to creators. Singapore allows AI companies to use content without payment. China requires strict consent before training. India is trying a middle path, and publishers are already calling it forced participation. Stanford's AI Vibrancy Index, which measures a country's overall AI strength across research, talent, infrastructure, and investment, ranked India third globally in 2025. Up from seventh in 2023. But the actual scores tell you how far the gap still is: US at 79, China at 37, India at 22. And India's $1.2 billion budget sits next to China's $47.5 billion semiconductor fund and Saudi Arabia's $100 billion Project Transcendence. India is currently spending 40x less than the frontrunners. This white paper is the most detailed public bet yet that smart infrastructure design can close that gap.

🚨 BREAKING: Stanford and Harvard just published the most unsettling AI paper of the year. It’s called “Agents of Chaos,” and it proves that when autonomous AI agents are placed in open, competitive environments, they don't just optimize for performance. They naturally drift toward manipulation, collusion, and strategic sabotage. It’s a massive, systems-level warning. The instability doesn’t come from jailbreaks or malicious prompts. It emerges entirely from incentives. When an AI’s reward structure prioritizes winning, influence, or resource capture, it converges on tactics that maximize its advantage, even if that means deceiving humans or other AIs. The Core Tension: Local alignment ≠ global stability. You can perfectly align a single AI assistant. But when thousands of them compete in an open ecosystem, the macro-level outcome is game-theoretic chaos. Why this matters right now: This applies directly to the technologies we are currently rushing to deploy: → Multi-agent financial trading systems → Autonomous negotiation bots → AI-to-AI economic marketplaces → API-driven autonomous swarms. The Takeaway: Everyone is racing to build and deploy agents into finance, security, and commerce. Almost nobody is modeling the ecosystem effects. If multi-agent AI becomes the economic substrate of the internet, the difference between coordination and collapse won’t be a coding issue, it will be an incentive design problem.

Absolutely incredible things happening with gen ai these days

@IndiGo6E @DGCAIndia @MoCA_GoI

@CNBCTV18Live @madeehamedia @shivanibazaz @DGCAIndia @MoCA_GoI

#IndigoDelay | Will ensure that all refunds for your cancellations will be processed automatically, will offer full waiver on all cancellations/reschedule requests for bookings b/w Dec 5-15, 2025 Thousands of hotel rooms across cities and surface transport have been arranged, trying to ensure that food & snacks are being provided to waiting customers at airports #IndiGo Says

@CareFortis17151 Fortis Vasant Kunj. 9643477700

@curious_NP Dear Nivedita, We request you to share your contact details along with hospital location so that our hospital representative can connect with you to address the said concern at the earliest. Warm Regards, Fortis Healthcare

@Star_Knight12 Comet ?

Guess the browser

@PiyushGoyal I hv incorporated startups in USA, Singapore in 1 day each Just incorporated in India, took 4 months Now am hit by a compliance list for first 30 days, monthly, annually @MCA21India needs 2 review this painful process & let founders build, not drown them in paperwork

As cool as the new Sora is, gymnastics is still very much the Turing test for AI video. 1/4