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Support for the show comes from MongoDB. AI-assisted and agentic coding can help you build faster than ever. But if your data layer is a bottleneck, what's the point? MongoDB actually gets out of your way. MongoDB is a unified AI-ready data platform that empowers you to build scalable, generative AI applications. It eliminates the need for separate, specialized vector databases by combining a flexible document model natively with semantic vector search, full-text search, and real-time operational data. Instead of wrestling with rigid schemas or translating data formats, MongoDB's native data model mirrors the language LLMs already speak. Plus, MongoDB gives you the flexibility to ship at the speed of AI. The ACID compliance lets you sleep soundly at night and scales to handle massive Fortune 500 workloads. Developers have a word for that kind of reliability. Actually, five words. It's a great freaking database. Start building at mongodb.com slash AI.

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This is advertiser content from IBM. Cold take. When it comes to quantum computing, if you need a million qubits to calculate anything, it sounds like you need a quantum computer the size of a football field. So why are we even trying? My name is Olivia Lanes. I am the global lead for content and education at IBM Quantum. So you will not need a quantum computer the size of a football field. The quantum chip is really, you know, the size of a stamp. So the chip itself is never going to be the size of a football field. What could be a very large footprint is all of the infrastructure that goes around cooling it, housing the chip and controlling it. IBM has really been, I think, the biggest pioneer in terms of making this technology accessible. IBM has deployed at this point over 90 quantum computers worldwide. So if we talk about scaling, I will just say we have a plan. We have what it takes engineering and science-wise to make these computers work and to build them up to the scale that we know they will be useful. If you would like to learn more, you can do so at ibm.com slash quantum.

Support for the show comes from MongoDB. AI-assisted and agentic coding is helping you build faster than ever. But if your data layer is still a bottleneck, what's the point? Instead of wrestling with rigid schemas or translating data formats, MongoDB's native data model mirrors the language LLMs already speak. It ships at the speed of AI, is ACID compliant, and scales to handle massive Fortune 500 workloads. Developers have a word for that kind of reliability. Actually, five words. It's a great frickin' database. Start building at mongodb.com slash AI.

Support for the show comes from MongoDB. AI-assisted and agentic coding can help you build faster than ever. But if your data layer is a bottleneck, what's the point? MongoDB actually gets out of your way. MongoDB is a unified AI-ready data platform that empowers you to build scalable, generative AI applications. It eliminates the need for separate, specialized vector databases by combining a flexible document model natively with semantic vector search, full text search, and real-time operational data. Instead of wrestling with rigid schemas or translating data formats, MongoDB's native data model mirrors the language LLMs already speak. Plus, MongoDB gives you the flexibility to ship at the speed of AI. The ACID compliance lets you sleep soundly at night and scales to handle massive Fortune 500 workloads. Developers have a word for that kind of reliability. Actually, five words. It's a great freaking database. Start building at mongodb.com slash AI.