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Nah, the trick with o3 solving IQ tests seems to be that they bruteforce solutions and then pick the best option. That's why calls that are trivial for humans e
by jokethrowaway 2y ago
Nah, the trick with o3 solving IQ tests seems to be that they bruteforce solutions and then pick the best option. That's why calls that are trivial for humans end up costing a lot.
It still can't think and it won't think.
LANGUAGE models (keyword: language) is a language model, it should be paired with a reasoning engine to translate the inner thought of the machine into human language. It should not be the source of decisions because it sucks at doing so, even though the network can exhibit some intelligence.
We will never have AGI with just a language model. That said, most jobs people do are still at risk, even with chatgpt-3.5 (especially outside of knowledge work, where difficult decisions need to be taken). So we'll see the problems with AGI and the job market way earlier than AGI, as soon as we apply robotics and vision models + chatgpt 3.5 level intelligence. Goodbye baristas, goodbye people working in factories.
Let's start working on a reasoning engine so we can replace those pesky knowledge workers too.
- esafak 2y agoThe important thing is that you can use inference-time computation to improve results. Now the race is on to optimize that.
- ithkuil 2y agoHow many attempts can you have when running an evaluation run of an ARC competition?
- sunnybeetroot 2y agoWe’ve had coffee machines that can make a perfect coffee with a touch of a button for at least a decade. How does GPT3.5 remove baristas given they could have already been removed?