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"will find, analyze, and synthesize hundreds of online sources" Synthesize? Seems like the wrong word -- I think they would want to say something like, "analyze, and synthesize useful outputs from hundreds of online sources"..
Feels like only a matter of time before these crawlers are blocked from large swathes of the internet. I understand that they’re already prohibited from Reddit and YouTube. If that spreads, this approach might be in trouble.
I'm sorry but what the fuck is this product pitch? Anyone who's done any kind of substantial document research knows that it's a NIGHTMARE of chasing loose ends & citogenesis. Trusting an LLM to critically evaluate every source and to be deeply suspect of any unproven claim is a ridiculous thing to do. These are not hard reasoning systems, they are probabilistic language models.
This is terrifying. Even though they acknowledge the issues with hallucinations/errors, that is going to be completely overlooked by everyone using this, and then injecting the outputs into their own powerpoints. Management Consulting was bad enough before the ability to mass produce these graphs and stats on a whim. At least there was some understanding behind the scenes of where the numbers came from, and sources w…
Oh Sweet summer child.
HN has a huge cultural problem that makes this website almost irrelevant. All the interesting takes have moved to X/twitter
Earlier quoted context omitted.
Also named specifically to muddle the SEO for the term "deep." Nothing that OpenAI does is unintentional.
It's more likely this is a response to Gemini Deep Research released in December https://blog.google/products/gemini/google-gemini-deep-resea...
Feels like only a matter of time before these crawlers are blocked from large swathes of the internet. I understand that they’re already prohibited from Reddit and YouTube. If that spreads, this approach might be in trouble.
I think we're all reaching AI fatigue. Fewer and fewer people care anymore
Few people care or even know about various advances in various specialized fields. It's enough if AI simply seeps into various applications in boring and non-flashy ways for it to have significant effects that will affect a wider range of people, whether they get hyped by the news announcements or not. Jobs etc.
An analogy: the Internet as such is not very exciting nowadays, certainly not in the way it was exciting in the 90s with all the news segments about surfing the information superhighway or whatever. There was a lot of buzz around the web, but then it got normalized. It didn't disappear, it just got taken for granted. No average person got excited around HTML5 or IPv6. It just chugs along in the background. AI will similarly simply build into the fabric of how things get done. Sometimes visibly to the average person, sometimes just behind the scenes.
Eating popcorn while the scaling doubters scramble to move the goalposts for the nth time.
**with browsing + python tools
Maybe we have different definitions of scaling?