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Overspending on AI infrastructure by cloud providers has some forecasting an AI bust, but there are signs that enterprises are starting to put AI to work.
The schoolyard chaos at OpenAI could detract from corporate adoption of AI. Microsoft may be best suited to restore order and trust.
Humans, with our biases, fears, and comfortable habits, always put the brakes on revolutionary technology.
IBM is extending its quantum development software into a full stack that includes middleware, serverless functions, and AI coding assistance.
The inherent weaknesses of large language models are reason enough to explore other technologies, such as reinforcement learning or recurrent neural networks.
It’s clear that AI, including generative AI, will be tested in the courts. Cloud and AI architects must practice defensive design and governance to stay out of trouble.
The semantic web, Web 3.0, and Web3 are three guiding ideas shaping the future of the Internet. Here's how they come together, bonded by technologies like blockchain, generative AI, and HTMX.
Our unrealistic expectations of genAI are like hoping a two-year-old will calmly act like an adult. Try patiently experimenting with prompts and spending ‘quality time’ with this developing technology.
Cloud and AI are the most important technologies today, and both have outstripped open source licenses. It’s time for a new open source definition.
10 quirks, consequences, and questions from an amazing and unsettling year of dizzying AI advances.