DuckDuckGo Dabbles with AI Search
techcrunch.com
techcrunch.com
I disagree with this. For me, a search engine's job is to find relevant web pages quickly.
The only thing I've used google for in the last 2 weeks is to quickly search for a wikipedia page or imdb page for an actor and movie.
Everything else is in ChatGPT now. The information from ChatGPT, even tho sometimes wrong, is far FAR superior to google now.
ChatGPT has been shown time and time to mix up facts, censor information, and make shit up. It's not an "AI", it's a glorified autocomplete box. I struggle to see how it can replace a search engine.
I can ask it what’s the difference between 2 lists. I asked it about concurrent_unordered_set and it told me that it only exists in VisualC++ but if I want it cross platform I can look at Boost or TBB.
None of this information is easy as a non C++ developer to find on Google.
If I need help interpreting something, I will use a separate service for that.
I disagree even with this. Please, no "relevant" pages bullshit. Give me just pages that contain the search terms verbatim.
Another example of a pretty atrocious case of reification is when facebook reified the word friend to mean people you follow on their platform.
> sources it’s using for DuckAssist are — currently — “99%+ Wikipedia”
Not sure how I feel about either of these.
What's the difference between using Bing, chatGPT or DuckAssist if they're all underpinned by OpenAI? (currently I gravitate towards Bing) Obviously Bing is performing live searches right now but thinking more about the near future.
If it's mainly summarizing Wikipedia rather than aggregating more diverse web results does that undermine or harm Wikipedia somehow long-term?
And what about poor Google? I've only used it for a couple of times for measurement conversion since getting access to bing chat, and it was really only because I felt bad bothering bing with it.
Seems to me that Bing and Google's chatbots are having truthiness issues because they're just scraping information from all over the internet. Any HN reader knows all too well that you can't believe everything you read on the internet. While Wikipedia isn't necessarily all true, the bar is much, much, much higher than the truthiness of the rest of the internet. Can anyone else verify if a LLM trained on a set of mostly-true info like Wikipedia will still make shit up?
It will, but less frequently. For instance, I can imagine a situation where it would give a plausibly sounding answer to a question based on an incorrect premise. The issue is that the bullshit responses will sound plausible from the stylistic pov.
Under the hood LLMs we're talking about here are still just "spicy autocomplete" with non-deterministic results. The results are impressive, just not in the way the VC driven discourse/hype would suggest.
OTOH, maybe that's what would finally push me to using Kagi, which might not be the worst thing.