Nivedita Pandey

focus: tech, finance, health, policy, spirituality | animal lover | minted @ Sitamadhi, polished @ Wharton & 🌍

[Nivedita Pandey @curious_NP]

That’s me

[Charly Wargnier @DataChaz]

accurate

[Claude @claudeai]

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.

[Nivedita Pandey @curious_NP]

Another example of Claude’s billing scam. Happens in every session. 60-70 is the new 100 ? @DarioAmodei
Had recommended Claude to a government client. I wonder how can I recommend @AnthropicAI in my AI advisory roles if I myself doubt your billing mechanism’s credibility/ ethics

[Nivedita Pandey @curious_NP]

@AnthropicAI Billing bug: Usage Credits (S$11.03) charged while 42% session capacity remained. 'Limit reached' at 67% next session too. Reported it -5 emails, all answered by bot in minutes, looping me in circles. Screenshots + Conv ID 215474603463355. Need a human. #ClaudeAI

[Nivedita Pandey @curious_NP]

@AshwiniVaishnaw @GoI_MeitY
Every data breach carries a hidden cost: loss of trust

India’s digital ambitions need to be backed by cybersecurity discipline

Digitization without security creates systemic risk for citizens, institutions, and government.

https://t.co/YbKxjry2BZ

[Nivedita Pandey @curious_NP]

@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

[Nivedita Pandey @curious_NP]

@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 ?

[Nivedita Pandey @curious_NP]

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…

https://t.co/FoKebjAy9d

[Nivedita Pandey @curious_NP]

Webinar with market leading
Swiss AI Firm Squirro:
AI Readiness - Why 75% of AI Projects Fail and How to Get It Right https://t.co/3dM7esCmu9 via @YouTube

[GoIndiaStocks.com @goindiastocks]

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
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Informational only. Not investment advice. Investments subject to market risk. | GoIndia Advisors LLP | SEBI Registered Research Analyst | Reg. No. INH000020040 | SEBI (RA) Regulations, 2014.

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[Nivedita Pandey @curious_NP]

@claudeai what’s this ?

[Nivedita Pandey @curious_NP]

@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

[Nivedita Pandey @curious_NP]

@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 ;)

[Nivedita Pandey @curious_NP]

@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

[Taylin John Simmonds @TaylinSimmonds]

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.

[Nivedita Pandey @curious_NP]

@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.

[Simplifying AI @simplifyinAI]

🚨 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.

[prayingforexits 🏴‍☠️ @mrexits]

Absolutely incredible things happening with gen ai these days

[Nivedita Pandey @curious_NP]

@IndiGo6E @DGCAIndia @MoCA_GoI