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Bard and new AI features in Search

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Re: Bard and new AI features in Search

#761
post #748

I agree this is bland corporate speak. But it reminded me of a question that's been floating around: A number of pundits, here on HN and elsewhere, keep referring to these large language models are "google killers." This just doesn't make sense to me. It feels like Google can easily pivot its ad engine to work with the AI-driven chat systems. It can augment answers with links to additional sources of information, be…

Way too many responses to your question are trying to engage with debate over products rather than focusing on the topic of monetization. Google makes money through ads, and especially ads that get you to click through to somewhere else. They do this through SEM ads that appear on your search query to direct you to a paid destination. And they do it through a display network on 3rd party websites that Google search i…

Agreed that what the product is exactly doesn't matter too much. It's kind of inevitable at this point that search is going to go in the direction of a chatbot.

Ask jeeves back in the day already knew that what people really want is a question answered. Google search and its competitors were a well-lived offramp on that road. Ultimately free-form interaction is just more intuitive.

But with that said, I also am not so quick to call the death of SEM ads. Just because chatbots exist doesn't mean people don't want to visit other websites. Display ads will continue to be a thing.

Similarly, there's no reason chatbots can't now direct you to sites or advertise products as part of their responses. Heck, this is a much more sinister form of marketing with astronomically higher click rate since a chatbot is responding authoritatively with a recommendation.

Yes, google is going to have to pivot... but this is a problem they're very well suited to solving and they have a very strong incumbent advantage in the meantime.

Re: Bard and new AI features in Search

#762

Earlier quoted context omitted.

I don't think most people realize how much infrastructure separates something like ChatGPT from Google-scale deployment. OpenAI isn't suddenly building transoceanic fiber and datacenters near most major population centers. They aren't signing production-ready contract vehicles with most major OEMs and governments. And in the gap it would take a new entrant to acquire 10% of those assets, Google has 100,000 engineers…

As someone using OpenAI in production, I can attest to the lack of stability and consistent performance in the current offering. Depending on the time of the day (and who knows what else), the same calls to GPT3 can take from 500ms to 15 seconds.

chatgpt launched about 2 months back and have over 100 million users, they have secured funding from microsoft so they are going to optimise and scale its infrastructure.

go for their paid offering if latency is bothering you

Re: Bard and new AI features in Search

#763
post #404

Earlier quoted context omitted.

Google’s inability execute is why they will lose the AI war. The fact the CEO has to write this article to wall street shows that they were caught offguard and have no real plans. If they had plans, why would Google management declare a code red over chatGPT? Take the difference between Microsoft and Google. Microsoft just released tools that will make your life much easier. Intelligent Recap of teams meetings, abili…

Sundar needs to go? And who will replace him? Larry and Sergey? They figured out the early web but the web of today is the whole another beast that is waiting to be understood.

I would have kicked out Sundar after Stadia. Or failing to keep up Azure and Microsoft on cloud computing market share because he was late to game in building an enterprise sales team. Google needs to find a Satya Nadella to turn them around, i don't knfow if Larry or Sergey could that but anyone would be better than Sundar.

Re: Bard and new AI features in Search

#764

At this point, Microsoft should do whatever it can to make a deal with Apple to place a ChatGPT powered platform in the iPhone/i Devices. Most of the people using "computers" nowadays do it through mobile phones, and Google has a strong grip in that market with Android, with only Apple giving them some competition. Thus the only platform where Microsoft could really compete is in iOS. If Microsoft + Apple could get t…

I'm pretty sure Tim Cooke would have already allocated vast billions to Apple's own AI platform. AI is now the biggest game in town - Apple is not going to leave it to Microsoft and Google.

AI has been the biggest game for a while.

Re: Bard and new AI features in Search

#765

Question for AI experts out there: ChatGPT is awesome, but it is obviously hamstrung by the fact that it crawled the web at the end of 2021, so all of its data is essentially "frozen" and it doesn't "know" of any topics that occurred after 2021. Seems to me like the next "holy grail" in large language models is building a model that can be continually updated. If Google can achieve that, I think they could leapfrog O…

One more question: apparently LLMs model the human language as well as the knowledge encoded in it? Aren't those separate concerns? Maybe those can't be separated and that's the reason?

I understand it as modeling enough language that the "knowledge" becomes likely in the language model, but it's still just language, which is why it often fibs.

Re: Bard and new AI features in Search

#766
post #737
post #550

Earlier quoted context omitted.

If you’re talking about physical hardware, Google pales in comparison to Amazon, and Gcloud is still smaller than Azure. It’s possible google’s private compute makes up for the Azure difference but it’s not like they’re in different leagues in terms of access to hardware.

Does it pale? How? AWS is very opaque when it comes to power demand, but you could use that to estimate machine counts and they admitted to Greenpeace that in 2016 they used 500-650MW — a wide range that obviously obfuscates on purpose. See the last Clicking Clean report from 2017. Google/Alphabet used 6514 terawatt hours in 2016 according to data collected from yearly reports at https://www.statista.com/statistics/7…

Yeah. I have seen internal numbers on YouTube's daily ingest a few times over the years and every time my jaw drops. Like, the number from 2020 is ridiculous compared to their own number from 2017, and that was ridiculous.

Re: Bard and new AI features in Search

#767

Earlier quoted context omitted.

I would guess they don't have enough available computing resources for that.

Might be the reason why they are choosing to use a lightweight version of the model.

And also why they might want to use a waiting list. There'll be no shortage of users.

Re: Bard and new AI features in Search

#768
post #727

Earlier quoted context omitted.

...which do nothing for the websites that had the original content.

This is the opposite of true in my experience: if you run a content-heavy site, Wikipedia is going to be one of your top traffic sources — especially for time on site since the visitors who arrive tend to have a very low bounce rate.

Look at my profile, I own content-heavy sites and have for many years. I can show you logs - Wikipedia does virtually nothing. And the content of my sites has been regurgitated by Wikipedia thousands of times.

Re: Bard and new AI features in Search

#769
post #462

How many parameters? The LaMDA paper describes 2B, 8B, and 137B parameter variations. Sundar says "We're releasing initially with our lightweight model version of LaMDA. This much smaller model..." So it sounds like the 2B or 8B model variations, compared to GPT3's 175B. [edit: corrected] I can't imagine such a smaller model coming across as anything near as impressive as ChatGPT. So the announcement today is for a m…

To compare models strictly on parameters is simply naive. And if we are to compare them only on such basis, smaller models have often proven to be more stable and efficient.

Re: Bard and new AI features in Search

#770
post #636

Earlier quoted context omitted.

the point was that Google Video sucked and wasn't able to beat YouTube. Same story for Google+

Google+ was better than Facebook, which was its primary competitor. The problem there was the same that any new social network has: nobody is going to switch if they can't bring most of their social graph over.

Was it though? Maybe for some users in some use cases?

Clearly TikTok is a better surveillance network and managed just fine.

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