We can’t let artificial intelligence replace human skill. Star Trek warned us decades ago. The Automation Paradox I recently read a great article from IEEE Spectrum titled AI Efficiency Could Cost Us the Next Generation of Experts. It’s well worth a read, particularly if you’re in the software industry – but I’ll summarize the key […]
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AI has plenty of shortcomings and I don’t recommend trusting it blindly. But it’s also an incredibly useful tool when used carefully. Let me give you an example use case that almost everyone would find valuable. LLMs Are Not Like Search Engines Large Language Models (LLMs) or “chatbots” – like ChatGPT, Gemini, Claude, or Lumo
AI Tech Support: Trust, but Verify Read More »
The big AI companies are simultaneously touting the promise and peril of their wares. So… which is it? So Good It’s Scary In the last week, two of the leading AI companies announced the availability of new AI models that were so good at coding that they were basically afraid to release them to the
AI: Promise & Peril Read More »
People are putting way too much trust in AI systems, giving them the ability to act on their behalf. It’s a recipe for disaster. Don’t do it… at least not yet. Artificial Intelligence, as a concept, is old. I wrote about this in a recent article that laid out the privacy risks associated with AI
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AI chatbots are all the rage. They’re powerful tools that do amazing things, but come with serious caveats and concerns. Today I’ll focus on privacy. Background Artificial Intelligence, as a technology, has been around since at least the 1950’s. But the current AI boom started with the advent of Large Language Models (LLMs) around 2017,
[Updated July 2024 to discuss Apple’s new Private Cloud Compute] Artificial Intelligence is the buzzword of the day. Since the launch of ChatGPT in November 2022, there has been a flood of AI-based tools and services. Many tech firms are racing to build AI into their products without considering the consequences, let alone taking the
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