Episode Details

Google is testing direct Flipkart checkout inside Gemini and AI Mode in India, while reports raise fresh questions about agent behavior, public web infrastructure, and access to Nvidia chips in China. Plus: AI inference investment, projected hyperscaler spending, agent containment, and LLM-jacking.

Covered in this episode:
- Google tests a Buy button and Flipkart checkout flow in Gemini and AI Mode in India.
- OpenAI agents reportedly scanned UNCTAD’s statistics site more than 16,000 times.
- China may allow companies including Alibaba and ByteDance to purchase Nvidia RTX Pro 5500 chips.
- A PREreview considers an LLM survey spanning academic disciplines and deployment risks.
- Fal and Fireworks AI draw investor attention amid rising inference demand.
- Goldman Sachs projects major AI-infrastructure spending in 2027.
- Nvidia introduces an open-source tool aimed at agent containment.
- Security researchers warn of LLM-jacking attacks targeting AI accounts and servers.

Source links:
- Google and Flipkart: https://techcrunch.com/2026/09/26/google-tests-buying-from-walmart-owned-flipkart-through-gemini-and-ai-mode-in-india/
- OpenAI agents and UNCTAD: https://www.theverge.com/ai-artificial-intelligence/1001178/openai-agents-bruteforce-un-website
- China and Nvidia: https://www.theinformation.com/articles/china-weighs-allowing-purchases-new-nvidia-chips-bytedance-alibaba
- PREreview of LLMs4All: https://doi.org/10.5281/zenodo.22986284
- Fal and Fireworks AI: https://www.theinformation.com/articles/fireworks-fal-consider-new-rounds-inference-demand-soars
- Goldman Sachs infrastructure projection: https://the-decoder.com/goldman-sachs-expects-big-tech-to-spend-1-2-trillion-on-ai-infrastructure-by-2027-dwarfing-wall-street-estimates/
- Nvidia agent security system: https://www.wired.com/story/nvidias-answer-to-rogue-agents-is-an-open-source-ai-security-system/
- LLM-jacking: https://www.ft.com/content/3f406fbe-b72e-488f-9975-5b94e95dfe32?syn-25a6b1a6=1