I don't think I can trust Google as my search engine anymore
androidpolice.com
androidpolice.com
But once I did it, that was very great, and a source of joy in my life. No regret at all.
I don't think I've deliberately done a Google search since I signed up, apart from to check that the !g option works as expected with the Safari extension (c'mon Apple, support custom search engines already)
Is it easy to launch a Google search from Kagi if you need this kind of functionality?
For local businesses I always search on Google instead, that’s the main topic in which it is clearly superior still.
I didn't realize Google had gotten so bad. They've been cooking their frogs for a long time
I signed up for the 100 search free trial, and in that, Kagi was as good as, or better than, Google.
I then began also to use the filtering Kagi offers, and that simple feature makes a big difference.
I'm currently on the starter package (5 USD/month for 300).
Kagi also provide an Onion service - but of course you do have to be logged in, so your searches can be logged and be known as coming from you in particular (as you provided payment method), which is the downside of paying.
Much as anonymous payment systems are abused, they have utility for ordinary people.
https://gizmodo.com/google-search-results-are-getting-worse-...
Anecdata, and I have yet to switch myself, but Google has gotten noticeably worse over the past few years and I’ve been considering it.
It only falls down if you care about taste and quality.
EDIT: Two people have emailed me, so if you are reading this you are too late.
And yeah, to the GP: Understand that fans of paid services like Fastmail and Kagi aren't shills... we're just... enthusiastic about stuff that's just... so much better. And yeah, there's probably some sense that for paid services to take hold for things like this, more people coming to it is a good thing.
Not having half page of the results with ads is also great.
And in addition, results are not only from Google/Bing and other sources but they also use their own index.
Regarding your point b: Heavily disagree. Even ignoring HN's seeming love for Kagi, surely you must have noticed the narrative about how AI is fixing search? People asking ChatGPT or Bing instead of googling things? Why would they do that if they were satisfied with Google? Also, Google search quality worsening has been a common news headline for years now.
Honestly it was odd to read an article about leaving Google search as if it was a momentous thing. $10/month or whatever is pretty minor in the grand scheme of things.
It's been over 18 months I'm a paying customer and have absolutely no regrets, I cannot stand Google search anymore after being used to Kagi's results and tools.
Id consider using their browser too if it worked with Private Relay, but alas.
And it doesn't even have to be that much cheaper. Maybe 15% or so.
That said, a lot of people want it, so I hold no grudge that they do it. It certainly is reasonable use of AI compared to others.
Isn’t this the $10 versus $25 plan?
Isn’t this the $10 versus $25 plan? Are you saying you’d feel better if they charged you $9 and turned off quick answers? (Which are totally optional to use.)
But the search itself is worth $10/mo. if you ask me.
I subscribed a year before I bought into AI, and I was very happy with it.
I believe you're funding a free tier more than you're funding AI product research.
It’s very frustrating that “turn it off” is a fucking afterthought to “turn it on” for a service I pay for.
Kagi is an AI-oriented company from the start, not an “… and AI!” gimmick. AI-curated search results are believed to eventually replace normal search results.
If I just want a factoid on a website, I might as well have a program crawl and scan for it.
If I want the summary and I don’t bother reading the long version, I might as well have a program crawl and summarise.
If I want specific details in a big document, and I am not familiar with the wording to look for, I might as well prompt.
It’s like complaining about shellfish at a seafood restaurant. :-)
If I want a factoid on a website, I want to see it with my own eyes, not filtered through some non-deterministic shit machine that might tell me the right answer. To each their own but me getting what I want doesn't get in your way at all, so we should both be able to use Kagi the way we want to.
It's funny in a way the reluctance people have to part with relatively small amounts of money like $5 or $10 a month for something so core. Given the amount of complaining online about being the product instead of the customer, you'd think more people would jump at the chance to establish the proper relationship with their primary source of information on the internet for the equivalent of the price of a cup of coffee or a fast-food meal.
Just that alone is easily worth the cost, not to mention the drastically better search results, and the ability to customize things intentionally, based on what you actually want, versus what Google thinks you should want, or more like what their actual customers, the advertisers, think you should want.
I've been using Yandex and Baidu recently.
Sure, they censor as well to their usual audience. However, The quality of search respectively is actually quite good. I usually get at least 4 relevant results, whereas google is 0.
The caveat is US based searches google still works best in, like 'where is restaurant or business'.
But for general material, google lost me 2y ago. I grew tired of the dumb games and bad irrelevant garbage shoveled instead of search results.
They’re superior at finding shops on Maps.
But for common search, they’re mediocre and untrustworthy, hiding real results way down below irrelevant spam.
Who trusts an advertising company with search?
Sometimes I search for a whole sentence, e.g. the title of a video I know to exist, and it doesn't find it. Then I look for a vague sentence related to the video, and with some luck it finds it.
It can't be quite that, given that I've searched for exact phrases I knew exist on StackOverflow, and that Google no longer brings them up, but other search engines do.
Google's poor search results drove me away years ago, so I wouldn't know if they changed this since then, but one of the many things that drove me away was that Google search refused to admit when it had no results and would instead just start including blatantly irrelevant results.
I have a feeling that turning it off is the greatest source of bad search results
If I search "flights to australia prices" I'm fine with google using my location for that, otherwise they show worse info
Google has an extreme bias towards giving you search results based on the most commonly available search results for a query that sorta-kinda-maybe sounds like yours.
That has nothing to so with personalization being turned on or off.
Oddly enough Google gave me what I was looking for with a literal string search on mobile (followed by a confirmation that I wanted what I typed in and not what Google autocorrected it to).
What then, you ask? Well, that is for you to decide. Choose a few search engines - real ones which create their own index, not only re-badged versions of Google or Bing - and use those in a round-robin schedule or search whatever you want in all of them. Use a meta-search engine like SearxNG [1] which submits your query to a select set of engines and shows the results from all in a single page (this is what I have been using for many years). Install YaCy [2] and create your own index for sites you frequent. Pick and choose, don't rely on a single source. This has been true for as long as web search engines exist.
When I read these stories complaining about Big Tech failing them I never perceive the problem as what the author is claiming it to be: e.g.,changes to Google search.
Instead, for whatever reason, I perceive the problem as the author's reliance on and even "trust" in Big Tech.
(Granted, the Google worship here makes sense considering he is working at "Android Police")
For example, the author's chosen title refers to "my search engine" rather than "a search engine".
Maybe I am just the wrong audience for these stories. Born into a world with companies making physical products and selling them for money instead of a world with intermediaries "selling" intangible "products" that are comprised of public information and performing unwanted surveillance on the "buyers".
I haven't missed a single aspect of Google search having switched to Duckduckgo 2 years ago. As others have commented here, where search fails often LLMs step up.
Injecting LLMs is half the reason Google Search is shit.
- "release year modern love roadrunners" -> 1976 (not 1995 as claimed). This article was posted 5 hours ago. Why am I getting the correct results then? For the record, the search "roadrunner modern lovers" (as per the screenshot) also says 1976;
- "brian jonestown massacre anenome" -> lots of links including a video and lyrics (article claims was unknown or no details)
I really don't know why there's so much reality-bending to make this story true.
But in this case we're talking about ~40 year old song. The reddit thread mentioned in the article is 10 months old.
I've also checked this logged in and incognito and get consistent (and seemingly correct) answers.
So what are we left with? Is the author in some experiment giving bad results? Were there bad results that got corrected between the time of writing and now? Did some Google search quality engineer see this and correct it?
All of these seem like a stretch. I'm perfectly willing to entertain the idea that Google has become worse but there are rarely conrete examples. It all just comes down to vibes. And when there are examples (as per this post), it doesn't match my experience. Can I really be that lucky? That seems to stretch credulity.
Probably the most egregious example of bad search results I've personally seen is how an astroturfed propaganda site was the top result for the Armenian genocide for literally years [1].
[1]: https://www.vice.com/en/article/how-google-searches-are-prom...
The very fact that it was clearly wrong in the example shows you that Google is capable of building a flawed Knowledge graph. This is not vibes, this is either a bug or, frankly far more likely, the inevitable problem of trying to compress all of human existence into a LLM model.
Given that LLM training is an imperfect storage mechanism, is it really hard to believe that a given iteration of the model will just not "know" arbitrary facts.
My personal anecdata on this is that searching for the 'ephemeral port range' the Google AI summary was wrong, even though the Wikipedia reference it used was correct.
Which makes things worse in a way - just like with LLM AIs, you can never be sure that what they give you is actually right unless you already know, so there's much less point in using them at all.
I'm not entirely sure what to say to someone who genuinely hasn't noticed that Google search results have gotten a lot worse in the last 5 years or so, regardless of whether any individual search result was right or wrong.
note: nerdy stuff ahead I was playing MTG with my son.
I asked google search a MTG question "Does the commander come in with summoning sickness"
The AI answered NO, but the link below suggested it did. I accidentally clicked back which means I had to ask the question again if i wanted to look at those links.. so i did
This time the AI answered YES to exactly the same question I just asked a moment ago and got a NO answer for. It was worded EXACTLY the same way.
This really highlights the lying bullshit factor to AI. You just cant trust it.
Especially, for instance, trying to qualify a search such as (a real search I failed at recently): heated bathtubs without jets
The "without jets" part of my string was just totally ignored, and yet that semantic snippet is the kernel of what I'm looking for.
I just got pages of ads for whirlpool tubs with jets.
I'm not sure if this is related to using "AI" in parsing the search string, but basic semantic analysis just seems to not be performed.
This is definitely a regression from previous years.
AI chats will probably sank Google search quickly, although it seems it is evolving in the direction of AI chat, that, hopefully will not pass to us wisdom of Quora, spammy Q&A sites, spam blogs, infomercial materials purchased by corporations, as regular search does.
But isn’t a hardback encyclopaedia gigantic?
what's the napkin math on this?
* stackexchange
* github
* the top 10,000,000 blogs
* major recipe sites
* english Wikipedia
* abstracts of all scientific papers
* very much don't want Reddit
Everything else I'll probably punt to ChatGPT
Maybe I can ping Common Crawl and just index that and call it good.
It's becoming quite trite, you searched for a game and google didn't show live results, move on.
Search-enabled LLMs fill that role better and google isn't the only game in town for that.
..and if using LLMs you have to assume at least some of it is dodgy so my guard is naturally up already.
Doesn't leave a whole lot of space for "trust".