FinTech, Markets, India, Food, Asia. Trust Only Data. Bengaluru Boy. Farmer. hegde.eth

Joined August 2014
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Perception is reality. Only till it isn't!
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Krishna Hegde retweeted
Microsoft wants to give employee context and skills to the employer. They will say enterprise owns it legally, but Microsoft wants to host, govern, index, secure, and activate it. “The question of who owns the accumulated enterprise state has been fought before. Once state became strategically important, the enterprise either asserted ownership or discovered it was too late. Email felt personal until compliance made it a corporate asset. Slack felt conversational until e-discovery made every message discoverable infrastructure. Gong call recordings felt like individual rep behavior until revenue intelligence made them organizational training data. Enterprises eventually claim the state that matters. The question is whether they do so before or after ceding it to a vendor whose incentives do not align with that claim.”
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In six months time, if Cursor's compute spend fully goes to SpaceX, at the same time large enterprises are cutting back on token spend token optimisation is happening everywhere, one can make a case that Anthropic OpenAI September quarter revenues will not be much higher than June quarter revenues. The frontier lab IPOs need to happen quick.
Why is Brad Gerstner calling Cursor the thing getting the least attention as SpaceX goes public? Because if Grok 4.3 reaches the coding frontier, SpaceX will combine: - The largest proprietary coding dataset (more than the public internet) - The largest available compute cluster - The fastest-growing agentic coding product $10B ARR exit rate from Cursor in 2026. 1.5T parameter base model. Data injected into pre-training. @altcap says it is the upside scenario the market hasn't priced. The full breakdown on what that means for the IPO: podcastalpha.substack.com/p/… Source: BG2 Pod - youtube.com/watch?v=Tx9jT2c6…
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US government control/regulation of frontier models will only work commercially if they prevent open-source/open-weight models from being widely adopted. Will be interesting to see how they address the competitive dynamics.
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Banks in India that can put together a fully digital FCNR deposit journey (onboarding, deposit etc) will be able to gain huge deposits in coming months. Expect USD FCNR rates to be close to Indian Rupee deposit rates. So, SFBs can offer 7% for 5 year USD FCNR. Given the size of Indian disapora & digital savvy - expect USD 75-100 bn of FCNR deposits by end September.
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The FCNR (B) deposit scheme can be a huge boost for Indian banks. Using 2013 as an example, expect flows to be a mix of a. Typical working NRIs investing small sums with their relationship banks b. High networth NRIs investing large sums in a leveraged deposit format. For segment a - banks with existing NRI franchise will benefit For segment b - banks that have a private bank & access to cheap overseas funding (foreign banks, Indian banks with foreign parents/investors, top 5 Indian banks who can borrow in the ECB market) Segment b >>> segment a.
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Krishna Hegde retweeted
Signs you might be trying to get your frontier AI lab nationalized: You compare it to nukes… threaten half of white-collar jobs… warn recursive self-improvement could end humanity… then race ahead anyway. In other words, you want the government to save us from… you.
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Krishna Hegde retweeted
The key threat to the profitability of frontier models is open weights. If they scare the hell out of everyone, the natural move will be to forbid them and allow only"trusted developers" . Sorry for being cynical . wsj.com/tech/ai/anthropic-ur…
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Most people now agree that Tokenmaxxing is a stupid metric. In coming months, I expect we will view similarly the time when folks highlighted 'x million lines of code were written by AI' or 'y% of code was AI generated'. All that matters is IFCFAI. Incremental Free Cash Flow from AI :-)
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Redpoint has a presentation out that says 67% of enterprises are running open-source models in production (vs 23% in 2025). Expect more enterprises to adopt the Dara approach. Use expensive models to explore. Bring in cheaper models/open source to optimise spends. While it is a minority view, there is a chance that OpenAI/Anthropic may find revenue plateauing sooner than expected coz per token costs on a blended basis across models drops fast.
Dara (CEO of Uber) on their AI spend: "We blew through our AI budget in a quarter, for the whole year. It is forcing us to adjust. We are going to meter headcount increases because to the extent that my engineers are getting much more efficient, their throughput is increasing. There's a cost to that, and it's a significant cost. AI adoption has been occurring in all parts of the business –– whether it's engineers and how they scope projects, how they build, debugging, platform migrations. I'm pushing the teams to fundamentally use the power of AI to rebuild systems and processes from the bottoms up. I do think it's a combination for us right now of encouraging adoption, but then driving efficiency. We're using the more expensive models to explore. Once we scale some of these experiences, we'll look to bring in more efficient models that are more efficient on a token basis or are open source."
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Video based Customer Identification for identity verification is widely used in India by banks. Currently, rules require a live person (trained bank officer) must be on the call from the bank & this person will visually verify the customer and ask randomized questions. Wonder if AI video models have evolved sufficiently to pass the test with a live human.
Today Instagram had this massive exploit where hackers were just stealing rare handles left and right. Hundreds of accounts gone. People losing handles they’ve owned since 2010, some worth hundreds of thousands. I own a few rare ones so I was actually stressed watching this happen in real time, which I haven’t been in years. Obama White House account got hit. These aren’t some random new accounts, these are verified, locked down accounts and they still got compromised. The thing is the exploit is so simple it’s almost funny. Attacker goes to Forgot Password, says their account is hacked, turns on a VPN to match the target’s location (which now you can find on the about section of the page). Instagram’s AI support flow asks them to verify with a selfie. They grab a photo from the target’s profile, run it through an AI video generator to make an animation of the person’s face moving around, upload that to Meta’s AI as proof. And Meta’s AI just accepts it because it can’t tell the difference between a real selfie and an AI-generated video of someone’s face . Once verified they change the email to theirs. Password reset link goes to their email. They own it now. 2FA gets bypassed somehow in the process but honestly I don’t know exactly how, just that it did. Point is even locked down accounts went down. Then you try to recover your account and you’re talking to a chatbot that has zero ability to help. You can’t escalate to a human. You’re just stuck. Your asset is gone and there’s no one to call. The whole thing just highlighted how stupid it is to automate account security without any human in the loop. One AI fooling another AI while there’s literally no person anywhere to catch it. Meta took hours to even acknowledge it while accounts were getting stolen every minute. Now thankfully it’s patched but I don’t think it will be the last one. Stay safe!
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If you don't have at least 3 different mango suppliers, it is time to rethink your life choices.
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Anyone looking at Sovereign AI for India needs to read @bgurley summary. For more context, Zhipu has 12x since IPO in Jan 2026. Minimax has 5x since IPO in Jan 2026. Chinese open source/weight models (Esp Qwen by Alibaba) dominate at r/LocalLLaMA. Gemma is the only non-Chinese model mentioned prominently.
Quick summary of what is happening with LLM model companies in China. 1) There is more VC $ available for open-weights than you think, 2) they are generating real revenue (as did open-source sw/saas companies in the West). crossingriver.substack.com/p…
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Question for the finance types: Is expenditure on inference tokens supposed to be capitalized or expensed? What are best practices in tracking spend & deciding what treatment will give an accurate assessment of the underlying activity?
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Stock price movements drive the narrative. Always! Confirmation Bias is real. Just need to use it to your advantage rather than fall prey to it.
This weekend read The Halo Effect: The core idea of the book is that when  a company is performing well financially, observers- journalists, investors, analysts- tend to retroactively describe its culture, leadership, strategy and people in glowing terms. When the same company later struggles financially, every previous attribute get recast as a flaw. The underlying reality may not have changed much  but our perception of the cause changes to match the outcome. I think that India is currently suffering from a negative Halo Effect. Because the market has not done well and needs to be rationalized the observers are finding all possible flaws to try and justify the reasons in hindsight. If we can separate the current performance from the – in this case negative- Halo, we can better understand whether this poor performance is temporary or something more permanent.
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Krishna Hegde retweeted
Tokenmaxxing is like asking people how much internet they surf, browse, or stream. Not a useful KPI except for token sellers. I am surprised that few have taken this as AI diffusion benchmark ‼️
Everything in the AI world is happening at warp speed. Can't believe these headlines are just 8 weeks apart.
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Everything in the AI world is happening at warp speed. Can't believe these headlines are just 8 weeks apart.
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3 months ago, the narrative was AI would degrade profitability of multiply sectors in tech - including Software & Cybersecurity. Both are up 40% from their bottoms. Indian IT services companies still haven't bounced much & narrative remains of them being a huge AI loser. Wonder whether just light investor positioning, INR depreciation boosting profits & a general rethink about AI cost/benefit/applications will lead them to rebound.
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Six months from now, we may look at Tokenmaxxing as exactly the wrong thing for an organisation to measure & incentivize.
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To arrive at an ARR number - should we multiply this 'Revenue' by 365 ?
IMP story by @dishaacharya_ @puranchdET @ETtech Indian founders flip Y Combinator’s $25,000 AI tokens for quick bucks We spoke to multiple founders and builders who attended Silicon Valley startup accelerator Y Combinator’s first Startup School in India in Bengaluru on April 18. Of the 2,000 attendees, many sold their credits at 20-40% discount and several others found it difficult to use their credits to access Open AI and Claude.
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