Daily Tech News Show Why NVIDIA’s Awesome Earnings Tanked the Market
19 snips
Feb 26, 2026 Discussion of why a massive NVIDIA quarter still sent the market lower and questions about circular financing boosting demand. A debate on risks if AI shifts from training to inference and whether LLMs can justify huge compute costs. Samsung and Google moves to embed LLMs on devices. Legal and industry news including a New York suit over loot boxes and Burger King’s staff chatbot.
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Why Nvidia's Great Earnings Spooked Investors
- Nvidia posted huge Q4 revenue and data center growth yet the stock fell because investors fear circular deals, customer cash burn, and a future shift from training to inferencing.
- Tom Merritt and Jenn Cutter highlight Nvidia's $95.2B purchased obligations, $3.5B guarantees, and concern that customers may be spending cash faster than they monetize LLMs.
The LLM Profitability Question Drives Market Sentiment
- The core debate is whether companies can make money from LLMs; if they can, initial circular CapEx deals become self-sustaining revenue.
- Hosts note pessimists worry usage will plateau and huge data-center builds could sit idle like past fiber booms.
Samsung Splits LLM Roles On The Galaxy S26
- Samsung is using three specialized LLMs across the Galaxy S26: Gemini for agent tasks, Perplexity for web queries, and its own Bixby model for device settings.
- Jenn Cutter and Tom see specialization improving accessibility and believe Apple may follow a multi-model approach.