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True, what is most puzzling about it is the effort Google is putting into generating hype for …

True, what is most puzzling about it is the effort Google is putting into generating hype for something that is at best months away (by which time OpenAI will likely have released a better model)... My best guess is that Google realizes that something like GPT-4 is a far superior interface to interact with the world's information than search, and since most of Google's revenue comes from search, the handwriting is on the wall that Google's profitability will be completely destroyed in a few years once the world catches on. MS seeems to have had that same paranoia with the bingified GPT-4. What I found most remarkable about it was how much worse it performed seemingly because it was incorporating the top n bing results into the interaction. Obviously there are a lot of refinements to how a RAG or similar workflow might actually generate helpful queries and inform the AI behind the scenes with relevant high quality context. I think GPT-4 probably does this to some extent today. …

Original discussionBard's latest updates: Access Gemini Pro globally and generate images259 source comments · at import
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BE

> I've tested bard/gemini extensively on tasks that I routinely get very helpful results from GPT-4 with, and bard consistently, even dramatically underperforms. Yes. And I don't buy the lmsys leaderboard results where Google somehow shoved a mysterious gemini-pro model to be better than GPT-4. In my experience, its answers looked very much like GPT-4 (even the choice of words) so it could be that Bard was finetuned on GPT-4 data. Shady business when Google's Bard service is miles behind GPT-4.

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XI

The ad model already went to take attribution / conversion from different sources into account (although there's a lot of spammy implementations), but it took many years for Google to make youtube / mobile ads profitable, and now adoption is much faster.

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the search business has always been caught between delivering simple and to the point results to users and skewing results to generate return on investment to advertisers. in its early years google was also refreshingly simple and to the point. the billion then trillion dollars market capitalization placed pressure on them to deliver financial results, the ads spam grew like a cancer. openai is destined for the same trajectory, if only faster. it will be poetic to watch all the 'ethical' censorship machinery repurposed to subtly weigh conversations in favor of this or other brand. pragmatically, the trillion dollar question is what will be the openai take on adwords.

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