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The hype around generative AI is white hot, and cloud operators are excited about the possibilities. First, let’s anticipate the unique problems it can cause.
The marketing games continue. AI is the new spin causing a great deal of confusion in the world of cloud computing.
Maybe you’re not ready to let AI write your code, but it’s quite useful for testing and analyzing code.
Grady Booch explores the intersection of computing, what it means to be human, and the evolution of intelligence in the 21st century.
Once out of reach for smaller companies, quantum computing services level the playing field. Providers offer access, development kits, and training at more affordable prices.
One of the primary reasons companies fail to innovate is that they are locked into a specific vendor’s technology. Watch out for these pitfalls.
Tired of Facebook, Twitter, and Instagram? Skeptical of the metaverse? The non-profit, distributed, community-oriented fediverse might be for you.
AI generates a lot of answers and saves a lot of time, but it’s too often incomplete or untrustworthy.
All the people using DALL-E to create images or letting ChatGPT write their term papers are eating up a lot of cloud resources. Who’s going to pay for all this?
After decades of speculation, real-world artificial intelligence has finally hit a tipping point. Now that we know what AI models like ChatGPT and DALL-E can do, should we be worried?