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Because while Google has been researching, OpenAI has been productizing. We will have to judge it once we get access to Bard, but it’s possible Google is years behind on creating a chat model that won’t spew toxic waste, as GPT-3 did when it was first released a few years ago.


Not spewing toxic waste is actually a big part of what Google has spent years working on here. The fact that someone else released the first such product allows them to do it too without solving the problem with less media flak.

Productionizing this stuff is where Google gets the most advantage because they have the hardware and software efficiencies that comes form years of experience training and running inference on the most massive AI workloads for many many years in their data centers

I don't think this is going to be what damages Google, much more optimistic about antitrust stuff.


Yeah I keep thinking about how different the reception to ChatGPT would have been if it were released by Google. People would be way more focused on how you can make it spout total nonsense with supreme confidence. (Which imo is the major flaw in all these ML models.)


I work at google and have used their AI tools and they’re just as impressive as the OpenAI ones (which I use personally, outside of work). Both have been developing products, just google hasn’t released any of them.


Have you done adversarial testing? How easy is it to jailbreak Bard vs. ChatGPT? Can Bard produce code?


Obviously I am unable to discuss the details, as much as I might like to. Sorry.


That’s just it though. GPT-3 has been publicly accessible for years. ChatGPT has been public and hitting scale for months. OpenAI has collected mountains of AI chat training data and has been iterating in public. Google has nothing available to the public and you are under NDA. And you think we should be optimistic about Google’s progress? Will this new search feature last longer than Stadia?

Either way, chat interfaces in both search engines should be available to some of the public within the next few weeks. Theory is about to smack into reality at scale.




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