Hype Cycles with Nitesh and Vineet

Nitesh and Vineet

What's been going on in the tech and the business world? What's trending, what's recent, what's getting hyped...and what might be behind it? Nitesh and Vineet go deep into one topic each week, to find out.

  1. 1h ago

    The "Defective Magic Kit": What Does AI Even Mean, and How Inevitable is it Really?

    The word "AI" has meant nothing specific for 60 years. That's not a bug, it's the main feature. This week we have a guest: Jaidev Deshpande, ML engineer, vibe coding janitor, and chief code deleter, who joins Vineet and Nitesh to try and parse what AI and AGI mean. We open with the defective magic kit. The AI industry has perfected a single rhetorical trick: when the product doesn't work, it's your fault for not knowing how to use it. This isn't new. The first AI chatbot, Eliza, was a rule-based script. Its own creator came out and said it was nothing special - but the public refused to believe him. That was 1966. Nothing has changed except the valuation. AGI gets its proper dissection. The goalposts have shifted so many times that nobody - not Dario, not Sam, not the researchers - can define what human-level intelligence even means. The Turing test was passed. Nobody declared AGI. Code generation is here. Nobody declared AGI. Microsoft and OpenAI had to define it for their lawyers: AGI will be achieved when OpenAI turns a hundred billion dollars in profit. That definition has since been quietly dropped from their latest partnership agreement. Vineet walks through his actual workflow - building AI video for enterprise clients, and gets into why the dropoff rate for folks trying to DIY their way through AI video, is crazy high. The term "Vibe coding janitor" used to be a joke. It isn't anymore. Then the numbers. Nvidia's last quarter: $50 billion in operating cash flow, 95% of which went straight back into circular investments — CoreWeave, downstream stack, the whole flywheel. Anthropic claims $30 billion ARR but filed in court in March that lifetime revenues are $5 billion-ish. If MRR in March was $2.5 billion, their February number of $10 billion ARR can't both be true. The numbers don't add up and nobody is asking why. SpaceX's S1 gets a reading - Nitesh has made it through the first hundred pages and reports that the space and launch business is genuinely extraordinary, the Twitter-xAI integration is where it falls apart. Musk wants to solve the data center energy problem by putting them in space. We debate if the funding, the appetite and the capability exist. The closing argument brings in the foreign hand: AI models can't raise prices because they haven't locked in consumer use cases. DeepSeek and Qwen exist. The moment American models hit $50 a month, the switch to Chinese models becomes viable overnight. Jaidev says asymptotically, it will happen — just a question of when. It's not doomerism — it's just the most natural outcome. Nitesh tries to bring out the positives of the bubble. We end on tramp stamps. Links: https://www.beingbayesian.in/p/the-compounding-fallacies-of-ai-hype

    1h 23m

  2. May 25

    AI Stock Mania Moves Downstream from Nvidia - and the Indian Consumption Shock That's Coming

    The AI chip trade is moving downstream fast. And the Indian economy is moving somewhere nobody wants to talk about. Two stories this week that are bigger than their headlines suggest. Vineet opens with a tour of the AI semiconductor stack - and the uncomfortable math behind it. Nvidia's crazy spike was just the start. AMD up 200%, memory plays like SanDisk up 400%, cooling companies, networking layers, power infrastructure, optical interconnects - every bottleneck that gets solved just reveals the next one. But GPUs bought in 2025 won't go live until 2027 or '28, by which time they'll be two generations old and possibly already written off. Satya Nadella has said openly that the constraint isn't GPUs — it's energy and the buildings to house them. Then the detail that broke Vineet: compute futures. Someone is actually proposing an actively traded F&O market for compute hours, awaiting SEC approval. The original purpose of futures contracts was to help potato farmers sleep at night. This is that, except the potato is a GPU warehouse and nobody knows who the end buyer is yet. Nitesh is horrified and also excited. Then Nitesh's story. India's consumption-driven economic pitch to the world has always been "come here, sell here." The PM's statement asking citizens to reduce gold purchases, cut foreign travel, and conserve fuel is, unfortunately, an acknowledgment that the consumption engine is under serious stress. The hidden structural problem: India's retail investors have been nudged, incentivised, and tax-restructured into equity markets as the only viable savings vehicle. Debt mutual funds now offer no indexation benefit. FDs don't beat inflation. So when sentiment turns, people reduce spending and drawdown their investments - a potentially vicious cycle. The tide that rose monthly on SIP inflows will go out the same way.

    56 min

  3. May 17

    Data Centers are Good for You. You Will Obey.

    This week we get into the data center story properly. One upcoming facility in Utah will consume more power than the entire state does today. Data centers account for 0.01% of US jobs but 4.4% of electricity consumption. Anthropic is spending $50 billion on infrastructure that will create 800 jobs. And Microsoft, OpenAI, and Anthropic have all simultaneously published press releases promising to be "good neighbors" - which is as close to a public admission as you'll ever get that they haven't been. We also dig into what the Google Andhra data center actually means for India. The press release has all the keywords - Viksit Bharat, gigawatt-scale, national industrial ecosystem - but run the math and the majority of that investment goes straight back out of the country in GPU purchases. So...what are we actually getting in return for all this energy use? Nitesh breaks down the Indian companies that are getting in on the AI action. Then: the OpenAI vs Musk trial, which has confirmed what everyone suspected - the entire AI industry is about seven people who cannot stand each other, and by extension so is the global economy. Discovery has given us Mira Murati testifying under oath that Sam Altman lied to her, Ilya Sutskever's memo saying Altman has a consistent pattern of undermining everyone, Greg Brockman saying he genuinely thought Musk was going to physically attack him, and a board member describing OpenAI's safety methods as "becoming somewhat less slapdash over time." Musk, for his part, didn't read beyond the first box of a four-page document before suing over it. Links: A fun CNBC interview with Gamestop CEO Ryan Cohen: https://www.youtube.com/watch?v=Bmj2PaxX24E Sources for data center news and surveys: https://www.pewresearch.org/short-reads/2026/05/05/many-americans-hold-utility-companies-responsible-for-their-rising-home-energy-bills/ https://www.sltrib.com/news/2026/05/04/utah-data-center-final-vote-box/ https://www.theverge.com/ai-artificial-intelligence/902546/data-centers-ai-energy-power-grids-controversy https://www.theverge.com/news/889578/data-center-power-pledge-white-house-google-meta-microsoft https://www.bloomberg.com/graphics/2025-ai-data-centers-electricity-prices/ https://www.anthropic.com/news/anthropic-invests-50-billion-in-american-ai-infrastructure https://www.storyboard18.com/how-it-works/explained-what-googles-discom-licence-in-andhra-pradesh-really-means-94979.htm

    50 min

  4. Apr 26

    Fear As a Hype Mechanism: Mythos, Margin Calls, and the AI Product Development Machine

    AI companies want to create myths around themselves - and now they're literally calling a product "Mythos". Just in case, y'know, you miss the point. Anthropic announced Mythos - a new model capability so powerful it found multiple zero-day vulnerabilities in critical banking infrastructure, alarming enough to call an emergency meeting between the Fed Chair and the Treasury Secretary. OpenAI, not to be outdone, had "sources" leaking within days that they had something similar. In this episode: We open with the UBI debate - but not the one you've heard. Sam Altman's floating the idea of giving everyone equity in AI companies as their slice of the coming abundance. So it's time for...AI SIPs? #AIfundssahihai . Also, a side-rant on how the rich people hoarding all the productivity gains don't want to pay taxes, and no one has actually explained where UBI money comes from. The "abundance mindset" crowd keeps skipping ten steps in the middle. A brief but important detour: free bus rides for women in Karnataka. 250 crores a year. The moral hazard brigade comes out in force. Nitesh is furious about it in the most reasonable possible way. Almost too polite. Cover story: Project Glasswing - Anthropic's new Mythos model, the zero-day vulnerability story, and what it all means. Is this a genuine capability breakthrough? A strategic positioning move against the US government fallout? Both? We dig into why fear has always been the most reliable fuel in the AI news cycle, why Dario makes doomsday predictions every three months, and are companies adopting AI because it works or because they can get away with it. We also return to the consumer vs. B2B question - the $20 plan is dying. And if the $20 plan dies, the whole consumer narrative goes with it. The Anthropic-US government fallout gets a proper dissection: can you be the ethical AI company while a huge potential revenue stream is government contracts from the Department of War? Can you refuse to hand over autonomous targeting decisions while being fine with everything else? Then Nitesh's story: Andrew Ross Sorkin's 1929 - and what the mechanics of that crash look like when overlaid on today. Margin trading. Hidden linkages. Correlated assets in a crisis. A small-scale preview on India's election results day - small caps crashing not because anything was wrong with them, but because someone's broker issued margin calls on pledged shares. The brand-new Polymarket angle: US Air Force pilots betting on whether their strikes will hit targets in Iran. White House insider trading on oil stocks. We close with Meta Ray-Ban glasses being called "pervert glasses" by Wired, a debate on whether the cultural backlash can kill the category (Vineet says yes, Nitesh says Apple won't let it die), Chinese CCTV bans that ban nothing, and a post-dated disagreement to revisit in April 2027.

    1h 15m

  5. Apr 5

    From Cement to Cinema: The Aditya Birla Group's New Playbook

    We recorded this one live from Jayanagar, Bangalore, and as usual, we couldn't resist a few pitstops before the main story. In this episode: We open with a quick "financial year-in-review", even though no one invited us for any cool financial new year eve parties. We touch on the HDFC Bank chairman's mysteriously worded resignation that sent markets into a tailspin, a genuinely bizarre emergency analyst call (Reuters was on it - enough said), and the comedy of corporate crisis PR done spectacularly and awkwardly wrong. Then: Saregama's awkward earnings call moment - promoting Dhurandhar 1's music on one call, then forgetting about individual movies on the next. A quick detour into LVMH selling their Nashik vineyard to Sula - and why the India-EU trade deal might make that a brilliantly timed exit for one party and a slow-motion problem for the other. We also check in on the AI world: Sora is dead, Claude's surge pricing landed with all the grace of Wile E Coyote, and we make the case that the real winner of the AI cost crisis might be locally-hosted open source models. Plus - the data center energy crunch, gas turbines, and why the Iran war might quietly reshape where compute goes. Then the main story: the Aditya Birla Group. From Swadeshi-era commodities traders to a pre-liberalisation multinational to Kumar Mangalam Birla taking the helm at 28 under tragic circumstances - we trace the arc. Then we dig into what's changed in the last five years: paints (Birla Opus), jewellery (Indriya), fashion, Hakkasan, Applause Entertainment (yes, the Scam 1992 people), a new film studio, and now RCB. And the bigger bet: the Birlas are positioning to occupy the consumer trust space that the Tatas - strategically adrift, over-reliant on TCS - may be quietly vacating. We end with a recommendation (Malcolm in the Middle, the original, not whatever the sequel is), a brief detour into the new Harry Potter trailer, and Vineet getting told to vamoose and go back to Delhi.

    1h 6m

  6. Mar 23

    IOUs on IOUs: How Private Credit Is Secretly Funding the AI Bubble

    The AI boom is being built on borrowed money - and not the kind you can easily track. This week, Nitesh and Vineet go deep on private credit: what it is, why it exploded after 2008, and how firms like Blue Owl are now sitting on billions of dollars of opaque, leveraged loans made to AI data center operators - some of whom used to be crypto miners. We break down listed retail investment vehicles and mini bank runs, why lenders are the most blindly optimistic people in the entire AI ecosystem, and what happens when IOUs are built on top of IOUs built on top of IOUs. Plus: Claude Code's surprisingly small ARR, Larry Ellison quietly betting on Warner Brothers instead of AI, and the ChatGPT car wash test that says everything about where we are right now. Links: https://seekingalpha.com/article/4873478-blue-owl-capital-retail-panics-smart-money-buys https://notpricedin.substack.com/p/book-smarts Follow Hype Cycles: https://www.youtube.com/@hype_cycles

    1h 8m

  7. Mar 10

    A (Very) Brief History of Bitcoin (Also, is it an Asset or a Currency?)

    This week on Hype Cycles (formerly known as What Was That?!, an SEO nightmare), we go into the (use case) fundamentals of Bitcoin. Why does it exist? What problem does it solve for, and does it succeed? Is it a currency, an asset, or a gambling chip? We start where all good crypto origin stories begin: the 2008 financial crisis. We walk through how Bitcoin was born out of distrust in institutions… and then promptly set about trying to rebuild said institutions from scratch. Exchanges become banks. Stablecoins become central banks. “Be your own bank” quietly becomes “you can totally believe me” Somewhere between Silk Road, fractional reserve rediscovered live on Twitter, and NFTs for wedding vows, we watch an entire parallel financial system speedrun 100 years of financial scams in five. Then we go deeper. Asset or currency? Party or broker? You can’t be both. If it’s money, you spend it. If it’s going to the moon, you hoard it. The contradiction sits at the heart of Bitcoin’s entire hype cycle. We also widen the lens to blockchain, NFTs, land records, medical records, blood diamonds. By the end, we arrive at stablecoins, which are basically central banks for the paranoid. Nitesh believes there's a future for Bitcoin. Vineet is skeptical.

    1h 19m

  8. Feb 12

    What's Been Going on With Claude - and why it Spooked Indian Tech

    Welcome back to What Was That?! , where Nitesh and Vineet discuss the latest in tech, business, and how it impacts us. This week, we try to figure out whether Claude has quietly detonated the software industry or whether everyone just discovered a shiny new hammer and is now declaring the end of carpentry. The trigger: a string of Claude upgrades - tool calling, desktop control, MCP servers - that can now read your files, move things around your machine, talk to internet services, and even build code in plain English. Indian IT stocks promptly had a small panic attack. Naturally. We break down what actually changed. Generative AI is still a probabilistic word predictor with better context windows, not consciousness. But when you combine language models with file access and service integration, things get interesting, And slightly terrifying, but not in the Terminator sense - context failures, hallucinated commands, malware risks, and the minor issue that most humans have no idea what edge cases even are. We rant about Indian IT firms, decades of labor arbitrage, $100+ billion in dividends and buybacks instead of R&D, and whether AI is finally the long-awaited reckoning. And just when things get existential, we arrive at Moltbook - an AI-only social network where bots talk to bots and occasionally shout about nuclear war in all caps. Elon calls it early singularity. We call it Reddit fanfic. Link to a fantastic explainer video: https://x.com/shanselman/status/2018117809931489418?s=20 Section Breakdown with Timestamps00:00 Intro and the problem with generic podcast names 03:45 What actually happened with Claude this week 04:09 Indian IT stocks drop and market reaction 05:47 What generative AI really is - token prediction explained 07:46 Tool calling and Claude controlling your computer 09:52 MCP servers interacting with internet services 11:07 Combining tools - Why this suddenly feels powerful 12:16 Nitesh explains his use case for Open Claw 15:26 Productivity gains versus real world risk 20:07 Enterprise software - is it actually threatened? 22:50 Context windows - where AI still fails 24:31 Why personal automation could break the internet 29:05 Will software engineering shrink or adapt 33:00 Indian IT systemic risk and labor arbitrage debate 44:21 Enter Moltbook, the AI social network 46:01 Bots talking to bots and singularity headlines 48:26 Why Moltbook is not consciousness 49:10 SaaS investing and what changes next 51:17 Bitcoin as the promised hedge that nobody uses 54:29 Wrap up and teaser for Bitcoin episode

    55 min
See All (25)

About

What's been going on in the tech and the business world? What's trending, what's recent, what's getting hyped...and what might be behind it? Nitesh and Vineet go deep into one topic each week, to find out.

Information