For AI, this means the debut of generative computing — a new way to interface with large language models. Generative computing will center the LLM as a compute element with a runtime built around it. For IBM’s clients, this development will make building AI agents and applications more secure, portable, maintainable, and efficient, said IBM Research VP of AI Sriram Raghavan. “It isn’t every day that a new computing element shows up in our industry,” he said. “Generative computing is a way to move away from prompting to real programming.” And for quantum computing, the next two years will bring quantum advantage, meaning that IBM’s quantum computers will be able to perform calculations of practical, commercial, or scientific importance, more cost-effectively, faster, or with greater accuracy than a classical computer alone could achieve.
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