Everythings Bigger in AI

Everything's Bigger in AI

AI brings scale. Everything from the query rate of your C++ data structures to the size of your funding rounds will be much bigger. Running a query through an AI engine takes billions of floating-point operations in less than a second. Training an AI engine can take days or weeks and cost millions. The data sets have trillions of tokens, and the Large Language Models (LLMs) they train also have parameter sizes that are also heading up into the trillions nowadays.

With all this raw power comes fundamental capabilities. The latest AI engines and their models are amazing in terms of what they can offer. The basic levels are tasks like writing content, translating foreign languages, image generation, or code copiloting. On top of these basic capabilities, there are AI applications in almost every human endeavour, whether offered by longstanding companies or newly created startups. Every creative medium is on offer, from black-and-white sketching to auto-generated videos. And every vertical from medicine to law to finance already has specific tools to empower users.

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