AI

Yes, LLMs can reason , plan , make judgments under uncertainty , and integrate these skills in a wide variety of domains; but true AGI supposedly rests on the assumption that these systems, given their ability to match or surpass human intelligence , would be capable of going out and actively doing things we’re doing.

One reason managers feel so productive using AI is that they benefit from doing so. Workers, on the other hand, are more likely to suspect that to use AI effectively is to aid in their own eventual replacement by AI tools. “While the upside is murky, the downside risks are clear and often existential for some folks who worry about their job... See more

One possibility is that the executives here have fallen into the same trap that the open-source developers did. They are answering all their emails with Gemini; they are creating slides with ChatGPT; they have five Claude Code agents running on six different monitors tackling different projects they came up with over the weekend. And while these... See more

I see a lot of different forms of cope. Most notably:

1. People who think that those AI-generated summaries that come up when you Google something are State-of-the-art


2. People who haven’t played with these models since early GPT-4, or even GPT-3.5


3. People who latch onto the two big remaining error classes
   
   
   1. Tokenizer errors. These are what happens when you

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