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Learn as you search (and browse) using generative AI

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Re: Learn as you search (and browse) using generative AI

#111
post #26

Earlier quoted context omitted.

They are too busy turning their browser and search experience into crap. For instance what's with search results in gmail and google drive? I literaly search for a file by name, doesn't find it, I search by extension ... it finds it? Then there's chrome - right click on selected text to search on google, instead of opening at tab it opens a crammed side bar? Has google gone insane?

I've noticed gmail search has gotten significantly worse. Maybe my inbox corpus is becoming too large or google may be dedicating less server resources to search, but the frequency of failed inbox searches has significantly increased over the past year. (Failed as in I try to search for an email I know exists, but can't find it) Looks like my inbox is at 250,000 emails. Wonder if search degrades with inbox size. (Sam…

From my experience with corporates this is poor product management. I think these are not bugs but rather poor design choices made by people that have no clue other than how to tick boxes of "inovation" delivered. Whether features make sense or not the product manager's KPIs will look good.

Re: Learn as you search (and browse) using generative AI

#113

Reading is not a binary process and you can scale your engagement with any written work. If you use a variety of techniques, there is probably no need for a machine summary. For example, start by skimming and scanning an article and you may be able to pull out all the salient points and satisfy your reading goal or choose to go deeper with your analysis depending on time and interest and what you are trying to accomp…

Skimming isn't really possible for people that rely on screen readers. I think effective summarization would be useful for them. Whether this is an effective implementation, however, remains to be seen.

Re: Learn as you search (and browse) using generative AI

#115
post #90

Hard pass. I don't want Google, or even a trustworthy neutral party, to decide my view of the world. (Compromised as it may be already.) We're all unique and unpredictable. In a given article, a random sentence or point considered throwaway by most people and algorithms could turn out to be meaningful to me. I've been trained not to even trust the basic facts they pull of out content like movie showtimes or whatever.…

Actually, we’re not unique and often predictable. There usually is someone who says “I’ll never use the product because…” And it’s often a top comment. e.g. Smartphones with GPS, Amazon Alexa,… To me it’s simply a noisy discussion with little value. Don’t use it but let’s not waste time debating it. No one’s mind is going to change. I’d love nothing more than for an algorithm to filter out the noise and extract any i…

If you don't think you'll change anyone's mind, and aren't trying to, then why are you posting?

Re: Learn as you search (and browse) using generative AI

#116
post #3

I assume this is all done server-side, with Google feeding your interests and investigations into your personal profile. I really wish this could be done on-device. I don't want Google slurping up even more data about web users. I use FF mainly on desktop and mobile, and there's probably a great opportunity for Mozilla to build an offline, privacy-first summarization model.

This doesn't change how or when Google sees the web pages a user visits. If they were using Chrome with all sync features turned on, their browsing history was already being sent up.

Re: Learn as you search (and browse) using generative AI

#118

Earlier quoted context omitted.

It’s summarizing. That is by its very nature a reduction of an article to certain bias elements. It’s not rocket science or some evil magic. Jeeze you’d think HackerNews never used anything that wasn’t a home brew open source libertarian approved product if you believed the comments here.

"It’s not rocket science or some evil magic" It sure is. If you had told people in 2019 that a computer program could summarize large topics and write cogent output you would have been placed in the asylum.

Sorry, but that's incorrect.

Leaving aside the mind-blowingly large amount of research on summarization that existed in 2019, I'll say this: by then the task was so we'll understood that there were multiple tldr bots on Reddit.

Re: Learn as you search (and browse) using generative AI

#119

This sort of thing is why Canadian media wanted a cut of big tech profits. Imagine how harmful this is to websites that need to grow audiences, particularly news websites

What is a good example of a Canadian news organization website that is not overwhelmingly populated by headlines and stories that are: - clickbait - hyperbolic - gossip - propaganda - unoriginal - unimportant

Great question. Going to assume you mean English language and share my own findings:

- CBC: Propagandic, unoriginal, unimportant

- Global News: Clickbait, gossip, unoriginal, unimportant

- Toronto Star: Hyperbolic, propagandic

- The Globe and Mail: Unoriginal, unimportant

- The National Post / Postmedia network: Hyperbolic, propagandic

- CTV News: Clickbait, gossip, unoriginal, unimportant

Anything I missed?

I have found the best strategy is to take the sum of multiple sources to get a slightly less awful whole.

Re: Learn as you search (and browse) using generative AI

#120
post #8

Privacy aside if it's done server side, I think this crosses another dangerous line. With this, Google controls how content you read is summarized, they could introduce biases, intentionally or not, and I'm not sure we should trust such an actor for this.

On the bright side, if it's fine serverside I wonder if it'll bypass paywalls?
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