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Bard and new AI features in Search

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Re: Bard and new AI features in Search

#361

For anyone that is interested. This is the ChatGPT reply to the exact same question asked in the preview in the article. Here are a few things that the James Webb Space Telescope is expected to discover that you could share with your 9-year-old: The formation of stars and planets: The James Webb Space Telescope will be able to observe the birth of stars and the formation of planetary systems, helping us understand ho…

This was a quite clever choice; JWST is just newenough that ChatGPT's current model wasn't trained on its results.

Re: Bard and new AI features in Search

#362

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…

Google already as its Knowledge Graph - which is a pretty huge set of (semi) structured data about a bunch of things out there:

(totally speculative) If Bard were to form queries against knowledge graph, and then summarize the results, it could be very up to date for a good amount of information

Re: Bard and new AI features in Search

#363

For anyone that is interested. This is the ChatGPT reply to the exact same question asked in the preview in the article. Here are a few things that the James Webb Space Telescope is expected to discover that you could share with your 9-year-old: The formation of stars and planets: The James Webb Space Telescope will be able to observe the birth of stars and the formation of planetary systems, helping us understand ho…

That’s a byproduct of ChatGPTs 2021 training date. If you give ChatGPT updated information about JWST and then ask it for a summary, it will give a result much more like google’s.

Re: Bard and new AI features in Search

#364

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…

There is already LLM search engines out there

https://perplexity.ai

Re: Bard and new AI features in Search

#365
post #286

It is absolutely critical for our society that this technology, at its full power, be developed open source to the public. That presents dangers to society. Educating citizens on the ubiquity of human-like text being generated by bots is one challenge. Knowing that bad actors will be able to use these models for evil is another. "Write a convincing 10 page manifesto on the dangers this religious minority poses to soc…

Good point on open source. False about "good" and "evil". The most dangerous thing for society is perpetuating the idea of good and evil because that is what motivates war and terrorism. It is used as propaganda to make conflicts into moral issue and justify mass killing. What do you think the terrorists are fighting against? Evil (in their minds). The real problem is that there are different worldviews and political…

interesting, haven't looked into memristors in a while but it seems like that's a real possibility

https://www.frontiersin.org/articles/10.3389/fnano.2021.6459...

Re: Bard and new AI features in Search

#366
The AI I'm interested in is of this sort https://mycroft.ai/ i.e. where I run and control it locally.

I don't want to go on any more "journeys" with Google. The last one started with me rooting for and trusting them (circa IPO.. 2004?) and ended with a dystopian nightmare spy apparatus, abuses like AMP, the attempt to cripple uBlock, etc.

Re: Bard and new AI features in Search

#367

Earlier quoted context omitted.

I guess a couple of reasons: 1) Because it is disruptive. Things may get shook up, and Google may not end up in as exclusive position as they are currently in. There's risk. 2) Because it's not obvious how advertising would fit in with a conversational interface. Google may stay as #1 search/answer engine, but would revenue be adversely affected?

Banner, sidebar, in-line, interstitial, modal… what advertising modes wouldn’t work on conversational interface?

Yes, plus it could introduce of new forms of advertising in the conversation itself. Algorithmic product placement. It could get weird.

Re: Bard and new AI features in Search

#368

Earlier quoted context omitted.

1. ChatGPT have made a decent go of it on a much smaller budget 2. Wall St tends to be very forgiving when the investment is something with a strong a moat as AI. Metaverse is an example of what happens when they don’t believe… 3. With a few exceptions like weather, their current searches provide links to static pages others have built, so much of their understanding and analysis is going to waste. Giving custom resu…

Didn’t Altman respond to Elon on Twitter and say an interaction cost 1 cent?

https://twitter.com/sama/status/1599671496636780546?s=20&t=p...

Re: Bard and new AI features in Search

#369

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…

Like the earlier responses said, if it is retrieving information from an external data source, that would be a much easier way to update things. REALM (https://arxiv.org/abs/2002.08909) comes to mind as an example of active work in this area.

Updating a monolithic LLM seems like a harder problem at the moment, and probably would fall under the umbrella of "continual learning", though that sub-field would have their own subdivisions of different methods.

As for how they would potentially perform, those results would be mostly empirically measured, but neither approach would completely remove the possibility of (1) missing results -- which is probably acceptable given Google doesn't always return everything relevant, and (2) hallucinating non-factual responses -- which can be more dangerous, if not from directly instigating / causing harm, then from the incessant worry that it might.

Re: Bard and new AI features in Search

#370

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…

Thinking of this and the analogy of the human brain: do models “forget” lesser utilized, less significant stuff like humans do?
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