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I don’t think you’re comparing the right things here. This feature is more like Google’s Deep Research, which basically goes off and does a whole lot of search

I don’t think you’re comparing the right things here. This feature is more like Google’s Deep Research, which basically goes off and does a whole lot of search and compute to produce something more like a full research report. This has nothing to do with open weight models like DeepSeek (note: DeepSeek, Llama, etc are NOT open source). This feature doesn’t just require the research on the model but also enormous compute. Plus anyone using such a feature for real work is not going to be using DeepSeek or whatever, but a product with trustworthy practices and guarantees.

rvz 2y ago
> This feature is more like Google’s Deep Research, which basically goes off and does a whole lot of search and compute to produce something more like a full research report. Of course. It is in response to their disastrous operator demo which did not justify the $200 per month ChatGPT Pro subscription on top of the release of DeepSeek to make matters worse for them. > This has nothing to do with open weight models like DeepSeek (note: DeepSeek, Llama, etc are NOT open source). It obviously does. Even before they rushed this presentation, they made o3-mini available for ChatGPT free users so it in direct response to DeepSeek. > This feature doesn’t just require the research on the model but also enormous compute. Plus anyone using such a feature for real work is not going to be using DeepSeek or whatever, but a product with trustworthy practices and guarantees. Nothing that Perplexity + DeepSeek-R1 can already do. So what is your point?