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by distortedsignal
1073 days ago
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I’ll push back on this, at least in its current iteration. I just asked it to list some restaurants near my apartment (major intersection in San Jose) and it wasn’t particularly close. While there are several restaurants less than half a mile from the intersection, ChatGPT listed restaurants from several miles away. Given the “weights in a matrix” architecture of ChatGPT, I’m not sure it’s possible to store enough data to make the query practical to answer. Say there are a couple hundred intersections in my city. You have to store the token of “restaurant name” “close to” “intersection” for each intersection. I don’t know the size of Google’s Maps DB, but I would guess it’s several Gigabytes per city. From my understanding of the theory, you would need to store BOTH the LLM weights AND the Maps data for ChatGPT to have a shot at generating good answers for that type of query. I’m happy to be wrong here. If I’m misunderstanding something, please let me know. |
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What Bing does is to use your query to search the web and use the top N search results in the context window for the chat.
However I’ll push back on your pushback. ChatGPT doesn’t need to be perfect to be a killer app. It is highly flawed. Maybe it was a bit to strident to say ChatGPT will kill Google search, but it’s strictly better for a lot of squishy queries that don’t have a factual basis.
How can I convince my boss to give me a raise? gets you a listicle on Google and a highly specific response on ChatGPT. And if some of the advice doesn’t apply, you can continue directing the conversation. It’s an idea generator, even if some of them are bad or don’t make sense.