"Bad" is a meaningless subjective assessment. The important question is whether Gemini is better than GPT-4o and GPT-o1. In most cases, it is not, and it's very noticeable if you do more than summarization or translation. Google is firmly behind Anthropic even, never mind OpenAI.
This made me laugh out loud so much because while it's not as true anymore, it's a pretty good distillation of how unwilling try he average Googler is to be disagreeable and I guess Gemini absorbed some of that from the people that worked on it. Just like normal software AIs seem to be the expression of the organization that produces it but in this case it's easier to spot it as it gives it a sort of "persona".
It means that's a really high bar for intelligence, human or otherwise. If AGI is "as good as a human, and the test is a trick task that most humans would fail at (especially considering the weasel requirement that it additionally has to be faster), why is that considered a reasonable bar for human-grade intelligence.
I just want to appreciate how the author used the sane "fear of not being good enough" instead of the idiotic "impostor syndrome" that everyone uses to mean the same.
What’s wrong with impostor syndrome? Perhaps overused term but that for a good reason, many people are battling the same insecurities while others are confident on hot air. Very few have a backing for being confident.
I don't agree with medicalization of normal human experience. It's not a syndrome if it happens to everyone and it's perfectly normal. It's also a way to justify being a pussy, which is a sentiment I don't condone under any circumstance.
It's absolutely coming. I'm curious to see what their ad units will look like. IMHO ads in an LLM search world will look more like Facebook ads than Google ads. Brand advertising will stay focused on YouTube while click to buy and click to download are probably the best fit for the medium.
in the current state they are already plenty useful, I don't think it's worth proving mathematically that something can work 100% of the times when 80% is good enough.
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