> has seemingly degraded into an approximation of a search engine that has knowledge of only very superficial information, will try to rewrite your queries and omit words (including the very word that makes all the difference...)
I think the biggest irony is that the web allows for more adoption of long-tail movements than ever before, and Google has gotten significantly worse at turning these up. I assume this has something to do with the fact that information from the long tail is substantially less searched for than stuff within the normal bounds.
This is a nightmare if you have any hobbies that share a common phrase with a vastly more popular hobby, and is especially common when it comes to tech-related activities. I use Linux at home, and I program VBA at work. At home Linux is crossed out of most of the first few pages, and I just get a ton of results about Windows, and at work VBA is crossed off and I get results about VB6 and .NET.
Completely. Useless.
I can only imagine this has something to do with their increasing reliance on AI, and the fact that the AI is probably incentivized to give a correct response to as many people'above the fold' as is possible. If 95% of people are served by dropping the specifically-chosen search term, then the AI probably thinks it's doing a great job.
It seems like the web is being optimized for casual users, and using the internet is no longer as skill you can improve to create a path towards a more meaningful web experience.
This same AI effect can be seen in the Android keyboard, where _properly_ spelled words will be replaced after typing another word or two because it's been determined to be more likely what you want. It's infuriating.
It actually does this with such consistency that I think it's a very specific mistake. For example, I frequently swipe "See you soon." It always, always renders as "See you son", which I then have to manually retype. Sometimes twice. I don't have a son, and I'm not a blind old cowboy who jocularly refers to any random person as "son". I honestly just want to type "soon", for the love of... anyhow, this is an ongoing, totally inane battle of wills with my phone.
I think what's happening here is that there's a very impressive and sophisticated heuristic for predicting the probability of what you want to type by looking at the frequency of what you have typed in similar contexts. It uses its state-of-the-art AI to evaluate the context and build an array of candidate words, along with their respective probabilities. I suspect it is very accurate as it does this. Then it sorts the array by probability and pops the top element into the predictive text input.
Alas -- per my pet theory anyways -- it sorts like this:
When a system tries to do something automagically and makes a mistake, it is very frustrating, especially because, to allow seamless large changes, hide competitive details, or make the UI more "streamlined", such systems rarely give users options to tune the results. A system that gives controls to the user and expects them to tweak their own experience is so much better in my opinion, except in the metrics of first-time usage (or first-time-since-major-change), when those controls look like information overload and make the system seem like something that must be learned before it can be used.
And yet, when the latter inevitably breaks on an edge case, users can try to fix it themselves. They don't hit a wall of frustrated "I can't do anything", they hit a challenge that they are empowered to try overcoming. They already know what they want and can set things that way, rather than trying vaguely to teach a system (machine learning, hardcoded heuristics engine, department of humans making seemingly unconnected changes to a GUI with each passing version and no obvious plan) to understand their desires.
I miss the days when users were seen as intelligent professionals who are willing to change settings, create and re-dock an assortment of toolbars to every edge of every screen/window to suit their daily tasks, read a manual (or at least search the integrated help entries) to overcome problems. Rather than "busy" phone users who just want to complete a task with minimal time spent learning and get back to posting on facebook or whatever, and who accept the automagical solution because adequate results instantly are somehow considered better than great results with some work.
Ugh, that whole block of text just kept growing; I had better leave and go ramble/rant at trees or clouds or something elsewhere.
There was a time when autocorrect on phones was moderately useful. That time has past. One of the first things I do with a new phone now is turn off autocorrect completely. It doesn't bother me to manually correct my own mistakes, but it bugs me a lot to have to correct the mistakes of the freaking robot that's supposed to be saving me time.
Wow, I... didn't know that gesture was a thing. Thank you! It seems to help a bit! I'm now getting a 50/50 son/soon ratio. That said: when I manually type "soon" -- definitely with a double "o" -- it still autocorrects to "son" on the first try. So, going to keep my pet theory intact.
The weird thing is that if I type nothing at all, the contextual predicted "next word" on GBoard is actually very good -- I wasn't praising it for comedic effect. But it really does seem like there's a sign error in a sort function which kicks in after you start typing.
I'm pretty sure Swype did explain it, and I know SwiftKey has this gesture as well (though I don't remember if it was ever explained to the user or just assumed they'd remember it from Swype).
Swipe style keyboard? How does that effect spelling ? So confused - I get how it changes to "predict," anticipate or whatever the AI engineers say but what I don't understand is changing a real word to a non-word. That's not intelligence. That's something else and I don't know what they get from changing word to a misspelled and nonexistent word other than eventually driving the human race insane: I'm going to be a Luddite;
Er, "son" and "soon" are both real dictionary words. Swipe-style keyboards use an internal dictionary to find the most likely match to the swiped pattern, and have methods for adding new words (mine for example automatically adds any tapped-out words after you hit space).
Very likely, every time you type "soon" and it corrects to "son", the probability of the change gets increased. So, the more it errs, the more wrong it will be in the future.
About it only replacing after you start writing, the probability of "son" must grow faster than the one of "soon" after you type "so". If there were such a huge bug, you would be seeing a new word every time, not always the same one.
Try switching between languages. I work in English, my wife is Italian, my colleagues are french speaking, I am Spanish and have Catalan friends, and I live in Germany. I gave up on predictive keyboards long ago.
You don't even need foreign languages to run into this problem. English is the only language I speak fluently, but I'm Australian. I'm
also a programmer, and I have some american friends. So, depending on context sometimes I spell 'color' (programming or talking to Americans), and sometimes I spell 'colour' (talking to Australian friends and family). Same with behaviour / behavior, favour / favor, etc. The context for which spelling I decide to use is complicated. In the same document I might name the `getColor` function, but describe it as getting the colour of a pixel. I might have two chat windows open side-by-side with different people and in each window spell the same words differently.
All my devices insist on shaming me (or autocorrecting me) for one of those spellings. At this point it feels like a complete gamble which I'll get corrected on. I'm just slowly getting used to correcting the autocorrect. :(
When you said this it reminded me that css allows colors to be either ‘gray’ or ‘grey’. Which I’m glad because then I don’t have to fumble until I picked the right one. Though, I’ve learned to type hex colors (especially grey scale colors) intuitively now, so I usually use those a lot more than typed grays now.
SwiftKey seems to manage three languages (Finnish, Swedish, English) simultaneously pretty well. No need to explicitly switch language either, it figures out the current language as you type.
Yes, SwiftKey works almost perfect for me too in three languages scenario (Bosnian, English, Dutch).
The only thing it is confused about is the letter "i", which means "and" in Bosnian, and SwiftKey often capitalizes it where it shouldn't. Probably happens because I often mix Bosnian and English in the same message (instead of translating technical terms).
I have 3 languages in my GBoard. I've just arrived from a Spanish speaking country, and now when I try to write in Portuguese it still completes with spanish words. Sure they are are very similar languages.
I'm on the same boat, I'm Italian and speak Spanish a lot with friends, English is my daily language. The latest Google keyboard has helped but it's not nearly as good as T9 was.
It's all the keyboards. Swype used to work great, but now when it actually gets words right, if I have sentence with a second word that could possibly have been two similar words on the path it will just straight up replace both rendering the sentence completely incomprehensible. Who are these people that don't correct their sentences until the second incorrect word?
I second that. 5 years ago I could swipe a whole message blindly with no errors. Now I have to correct every second word.
I'd love a feature to disable all that deep learning and AI and just use the algorithm they originally had (proximity of where you typed to words in the dictionary). That worked so much better.
I'm glad it's not just me that's seen Swype getting progressively worse! Either you have to really emphasize what letters you want, or you give up and type it out. I'm about finished with it.
I had a Galaxy S3 and was a heavy user of Swype. My friends marveled at how fast I could type with it. It was perfect! I recently changed my phone to an S8 and Swype became unusable. It gets almost every second word wrong, so much that I'm thinking of disabling it entirely :(
Speaking of virtual keyboards I always liked (and still use) the one from Blackberry and I never had such problems (you should be able to install Blackberry keyboard on any Android phone). I switched to Google Pixel from iPhone once I found out I can use Blackberry keyboard there.
Oh man, Android does that too? This awful, terrible, no good fake "AI" behavior on iOS was one of the many quality issues with modern iOS that was making Android look more attractive.
iOS keyboards have been getting worse with every update, probably as more and more engineers feel the need to make a mark, or are required to fix bugs, and they spoil it. The simple and predictable statistical model of the original iOS was better than what we have now. So much of iOS was better back then, IMHO.
On BlackBerry if it autocorrected to something you didn’t want, one press of delete would revert to your original word. iOS makes you a) rekey the whole thing and b) will probably try to change it again. I can only assume that no one (or moons, it literally just tried) who works on this uses it themselves!
I always thought Blackberry had the best autocorrect experience. My old Blackberry would occasionally surprise me by catching something I wouldn't think it would know about, and after some initial tuning never ever frustrated me. It only enhanced my experience.
Call me a crazy person, lately I've been thinking long and hard about going back to the BB (BB Bold 9930) and am willing to make all the sacrifices that come with it for a lot of the frustrations with smartphone OSes listed in this thread. Maybe I'm getting older and my demands on what I expect from a phone are beginning to normalize and simplify: Text, Calls, Email, a browser for sports scores and reading news articles on the train.
Honestly it's very probable that I'll only ever keep a smart phone around as a music/podcast/audiobook device.
I never used a BB, but I did have a bunch of "dumb" cell phones, and I miss them. Making calls on them was easy: Flip open, press Talk, dial, Success! Now it's: Turn the phone on (which takes approximately 60 seconds on my Samsung because it can't see keystrokes until it finishes trying to connect to wifi), hit Home button, wait 3 seconds for that to work, hit Phone icon, wait 2 seconds, hit keyboard button, wait 1 second, dial phone waiting 500 ms between each key, press Call icon, wait 20 seconds for call to go through, hit speakerphone button (because as often as not the cheek sensor fails to work and my cheek disconnects the call), Success!
As the saying goes, smart phones are just pocket computers with shitty phones attached.
This is a Galaxy S6. I'd probably get better performance if I didn't keep it in low-power mode, but I have no choice because the quest for thinner phones means the battery only lasts 2 hours in regular-power mode.
That's not true for this situation. For the "deep" replacements more than a word back that we're talking about, and also other changes that happen without any user notification via blue text popups, there is no easy way to fix without the long process of moving the cursor.
4 years ago was a very different time. Software quality in general continues to drop. I’m not sure if that’s due to increasing incompetence in the software engineering workforce (unlikely, but possible), malice (more unlikely), or apathy (most likely).
When wages don’t grow over 10 years, what incentive is there to write the best software you can?
I suspect the cause is a little more subtle (and terrifying).
The majority of people don't give a shit. Correct spelling and obscure searches are not even on their radar, it's not a part of their reality. Don't let the comments here fool you -- it is a very specific, picky, technical crowd that frequents HN.
The voice of "those who care" has always been a minority, although it used to matter more, simply because people who care and worry and try to do a good job tend to have more power and money (conscientiousness is a great predictor of success), and so businesses cater to them more. Now that everything seems to be turning more uniform, more global, more binary, more equal, that voice is marginalized (good thing? bad thing?) -- you're seeing the effect of a hoi polloi stampede.
So it's not the fault of "incompetent programmers" -- it may be a trickle down effect of our social incentives and economic trade-offs.
> The voice of "those who care" has always been a minority
To add to this, people who cares most powerfully had probably switched to alternative, open source, software solutions. This leaves the remaining group with less "care" on average so fewer would complain. Kinda like evaporative cooling.
> 4 years ago was a very different time. Software quality in general continues to drop. I’m not sure if that’s due to increasing incompetence in the software engineering workforce (unlikely, but possible), malice (more unlikely), or apathy (most likely).
I think another dimension is how deployability has changed.
Before... When you wrote and shipped software, getting your software out was a big problem, a big deal. This also meant that if you shipped a bug, shipping an update would be equally expensive (for you and your customers), and the amount of goodwill you lost would be quite tremendous.
Now everyone has a appstore, always up to date apps, and whatever else is usually "in the cloud" somewhere. The time of people installing applications in a normal desktop-context, with installers and having IT-administrators handle updates once every second year is surely long gone.
With that kind of change, and an increased focus on delivering early, doing proper QA is no longer something which is rewarded in the market.
Who cares if you made a bug-free, awesome service, when you did it 6 months after someone else shipped a similar, but buggy service which everyone is already using? They have established a user-base and as such already has social momentum and lock-in.
What do you have to offer which is not only fantastic enough to make some bother migrating, but also so amazing that these people will also go convert their friends and families? "Less bugs" alone is not going to cut it.
Basically, taking the time to deliver quality software these days is increasingly something you get punished for in the market-place.
The result? We get shit like this and we can only blame ourselves.
I find it more reasonable to assume that you can only improve a very specific function so much before your "improvements" turn to "pointless sidegrades".
And they can't even fix a simple typo like this after years of usage - "th8s 8s example tex6". Come on Google, you made that UI, you know that i and 8 are next to each other, you have a database of correct words and probably of typical errors and typos, wtf?! (you even know how to correct "wft" to "wtf" and can correct simple word with number typo).
Yes! Those one-off errors used to be fixed by most autocorrect systems. Seems like whoever wrote the new AI-based systems didn't make a checklist of existing features and attempt at least parity before switching over. It's embarrassing.
I don't know; I'm pretty happy that I don't have to type apostrophes any more. I can just go on typing words like "ill" and "wed" and it'll figure out after a few more words that those should be "I'll" and "we'd".
What the parent comment is talking about is something more extreme and I've noticed it too. It sometimes changes prior words that are valid after you have moved on to the next word. It's not correcting the word you just typed, it's correcting a previous word without any sort of feedback like you get for normal corrections- it's going backwards and changing earlier words, and then you try and fix it but the exact same correction applies automatically again over and over.
Unfortunately I can't remember any examples at the moment, it's just something that happens to me every so often. They're really irritating though, because they aren't well expressed in the current autocorrect UI (which works on the current word) and it doesn't seem to get the hint when you go back and correct it, so it keeps applying it over and over.
No, that's what I was talking about too—it needs the context of the (part of speech of) the next word to figure out in the cases I mentioned whether I actually intended the (correctly-spelled) word "wed" or the (correctly-spelled) word "we'd". It doesn't change it until after you hit space to commit the word that comes after the "wed" input.
Ah, ok. I'm pretty sure I've had it happen with more than just contractions though, like with common phrases. The real problem is that it's really hard to undo the correction. I need to start keeping better track of it so I can file a bug report... it makes it really difficult to type certain combinations of words.
If I type "its" and "it's" correctly, they are regularly changed to the incorrect spelling. If I don't bother, they are not corrected. The only way to get correct "its" and "it's" is to go back and fix them after auto-correct has screwed them up.
It's probably because the spelling is corrected based on a machine-learned model, whose corpus is likely to contain many instances where "its" and "it's" were swapped.
Which means the corpus is broken. But regular people rarely care about correct spelling, in my experience, and so I doubt corpus maintainers will care either...
You're imagining that people who make NLP corpora actually vet the text going into them? I dream of a world where people can be convinced to care that much. I'm not even talking about the scenario you suggest of filtering for proper word usage, I'm talking about filtering at all.
The corpora used for popular word embeddings are full of weird nonsense text (in the case of word2vec) or autogenerated awfulness like spam and the text of porn sites (in the case of fastText) or both (GloVe). And most people who implement ML don't care how their data is collected.
I mean, nobody expects the engineers to manually read through everything, but if the quality of the input text is significant for the quality of the autocorrect (or whatever other application you're using machine learning with), you kind of have to make sure the input is pretty good... You could for example choose datasets which is expected to contain mostly correct grammar and spelling (such as Wikipedia, books, etc.) rather than datasets which is expected to contain mostly incorrect grammar and spelling.
Or don't use a machine learning model. I honestly don't care, just don't automatically turn a correct "its" into an incorrect "it's".
Wouldn't late edition books with only corrected text be better, proofread, edited, proofread, edited, ... Google have millions of them they've assumed copyright of. Surely there's enough text there. Do they really just use random website text?? Nearly every news story I read has errors and they have style guides, trained writers, editors, etc..
Do publishers sell their published text as a mass for use in AI/ML? Like 1000 books, no images or frontispiece, etc., possibly jumbled by sentence/para/page.
They say they welcome contributions; I don't know if they just mean new sources of text, or if this includes code for filtering or fixing their existing ones.
I've been trying to figure out how to disable that! Anyone have any ideas? Google search turned up no results, but after this thread I shouldn't be surprised.
that's not Android keyboard. That's Google keyboard. Solution: use a different keyboard. I've used the AOSP keyboard since I started using Android. Sure it's made by google but it does what I say rather than what some proprietary idiot robot thinks I think. While your'e at it, use the send feedback function to let them know you hate it.
Its annoying autocorrection tendency to choose 'fir' instead of 'for' frustrates me. People almost never use the word 'fir', but use the word 'for' often. It would be nice if you could blacklist words you want it to never choose.
There is SwiftKey, on the hand, that does those kind of annoying corrections a couple of times, remembers your choice, and does them no more. It's been a long time since I've seen a 'fir' with SwiftKey.
On my S8 keyboard the configuration menu can be opened using the gear icon appearing in the keyboard. In the configuration menu there should be a bunch of options under "Smart typing" including 'Predictive text' which can be turned off.
This is in the european market, though, I don't know if it's configured differently for different markets.
Here's the problem. I already turned off all those options long ago, but the annoying behavior remains. To be clear, I don't mind the keyboard predicting things. It's only the retroactive changes that bother me.
Someone else suggested Swift keyboard, so I'm going to give that a try.
I think the biggest irony is that the web allows for more adoption of long-tail movements than ever before, and Google has gotten significantly worse at turning these up. I assume this has something to do with the fact that information from the long tail is substantially less searched for than stuff within the normal bounds.
Google wants you to be mainstream now. If everyone thinks the same and wants the same things -- even if contextually as a member of one of a couple of hundred disparate "marketing cohort" categories -- it will be far easier to target advertising to you. It's in Google's interest for you to conform now. Be easy to categorize. Be easy to predict. So think the same as the members of your peer group, so they can sell hyper-targeted advertising to other corporations. (Have you noticed that social media tends to motivate you to conform?) Google has no use for the long tail anymore -- no use for quirky and inscrutable scenes and subcultures. Instead, it now has the cultural power to transform you (the product) into an even better product.
Remember: 1. If you're not paying for the service, you are not the customer. You are the product. 2. Given sufficient quantity and concentration, Power corrupts. Always.
I see quite the opposite inceintive for Google. If you are a very eccentric individual and they know those quirks, they have a huge competitive advantage in targeting ads to you vs. some bulk radio broadcast ad etc.
I see quite the opposite incentive for Google. If you are a very eccentric individual and they know those quirks, they have a huge competitive advantage in targeting ads to you vs. some bulk radio broadcast ad etc.
However, the observation of this article, and my observation as well, is that Google isn't currently capable of parsing very individual quirks. Rather, Google is able to place you into one of a number of highly conformist boxes. They don't have to understand you as an individual. They just have to 'box' you more effectively than their competitors.
There is nothing in the market or otherwise emergent in the nature of data and such categorization which fundamentally motivates Google to be able to parse anyone's quirks or understand the essence of a scene or artistic movement. If Google can gain a competitive advantage by creating a number of honeytrap doppelgangers which draw people away from the long tail and sequester them into un-creative, imitative, and highly conformist boxes, then so much the better for them.
In much the same way, I find that recommendation engines come up with annoying pale imitations of bands/musicians I like. I also wonder why authoritarianism seems to spread so effectively across social media, and why certain authoritarian movements seem to get such ready support from within Google and various social media companies. It's because, as a product, conformist/authoritarian screechers are more easily herded, replicated, categorized, and packaged than real individuals who think for themselves and apply principles.
"I assume this has something to do with the fact that information from the long tail is substantially less searched for than stuff within the normal bounds...It seems like the web is being optimized for casual users"
In other words, the internet is becoming more of a collective and caters less to the individual.
If you have a special interest, then who cares? You should just adopt more normal hobbies. If you have a unique political viewpoint, then get over it and join one of the major parties. If you are oppressed, then it's fine as long as 95% of the people are content (don't worry, we'll carve out a few protected classes so that the pictures still look diverse).
> It seems like the web is being optimized for casual users, and using the internet is no longer as skill you can improve to create a path towards a more meaningful web experience.
No. _Google_ is being optimized for casual users, and using _Google_ is no longer a skill you can improve to create a path towards a more meaningful web experience.
Yes. The problem seems to be compounded by Google's intention to correct spelling, and (for the long tail searches) to assume you're really just looking for whatever everyone else is searching for.
Yes! You need to beat Google with a stick to enable searching for the furce awakens (that's not a typo) poster which Disney itself produced. Used to be that quotes around a phrase stopped this typo correcting but no longer.
BTW. this is my go-to example for the "piracy is a service problem" -- this is 100% Disney IP for the fans of two billion dollar movies and you can't buy it as a poster. https://images.moviepilot.com/image/upload/c_fill,h_470,q_au... So I went on eBay, found a custom poster printer service and got it printed and shipped for 12.48 USD: https://i.redd.it/x4mmmvayunbx.jpg I would've been glad to pay double, triple for an official version but no. You just can't buy it.
CHX is still right in what they say. The point here is that Google override peoples searches based on some random fuzzy logic, and whatever you've searched before, regardless of whether you are logged in or not.
Do Google do spelling correction based on letter locality on the expected user keyboard? Never seen any corrections that would suggest that, often wondered why not.
There used to be a service that would, given a query, search eBay for listings that matched it or common misspellings based on nearby keys. I wonder if any of that logic has made its way into modern autocorrect explicitly or if it would be gathered implicitly through studying what users actually correct.
But this is the wrong way around. At least make it an option to offer the typo correction instead of forcing it on you. Think of how much money Amazon made with one click. Two clicks is twice the clicks. Focus on fast and relevant searches not trying to guess what I meant. It's great to have a typo correction on offer but let me decide whether I want that to be default -- I don't. I know what I am searching for.
It doesn't help that it seems every other project out there is trying to name itself after common words in the lexicon. I dare you to try finding information on the Box library.
It seems that context-sensitive search is a curse as well as a blessing. Wikipedia at least offers you disambiguation pages; perhaps a search engine should let you pick a "domain" to prioritise search in.
> trained to maximize viewing time (and thus ads you see), instead of showing you videos you'd actually enjoy more.
How would youtube quantize how much enjoyment you're having, if not by tracking viewing time?
As an aside, when watching youtube on my TV, I don't think there's a way to thumbs up or down videos. Even on my PC, when the video is in fullscreen, there's no way to thumbs up or down either.
Let's not forget that Google is an ad company, operating a search engine for that purpose.
I bet long-tail queries, while capable of carrying very targeted ads with a high CTR, are just too rare and thus less profitable. Likely much more people have basically no clue and formulate queries approximately, and very few query precisely in improbable ways, so getting the majority to the results they "meant" gives better financial results.
To tell the truth, you still can enter the "verbatim mode" using a menu, and try to find that improbable cluster of words. It's an advanced feature now, requiring a bit of digging, but it's there.
I'm not sure I've got a fully formed concept here, but I'm throwing it out in case someone finds it interesting.
Re: long-tail movements and switching contexts between work and home, I wonder if a better example isn't much better user or persona management. Every person is interested in more than just one thing, and can conceivably be looking for the same word in two contexts. Down below, a multi-lingual speaker has given up on predictive keyboards.
What if we could enable users to switch personas/contexts as intuitively and easily as people code-switch in real conversations? Setting up the profiles would be messy and cumbersome at first which probably kills the idea dead in my hands. I'm not knowledgeable enough about psychology or machine learning to figure out if that could be solved automatically.
One of the difficulties I see with this approach is to identify personas.
It would be fine it was work + home persona.
I feel though that it woild end up like
work local branch + work parent company report + work programming + home family member + home personal hobbies + home grand parent’s health
For context I already have two IDs for work and private stuff, I still hit a lot of barriers on Google search and ended up in ddg, using the location switch when needed.
A bit on the snarky side I realize, but someone at Facebook has probably already dug into this. Whether or not they'll admit it or discuss it publicly is far less likely.
> I can only imagine this has something to do with their increasing reliance on AI, and the fact that the AI is probably incentivized to give a correct response to as many people'above the fold' as is possible. If 95% of people are served by dropping the specifically-chosen search term, then the AI probably thinks it's doing a great job.
There has to be an additional reason though, otherwise they could've just put the AI "enhanced" above the fold, and append the actual accurate results below it, for the people doing research.
You can add a plus (+) before a word you require to be in the search results. Eg. "+VBS array loop". You can filter out word by prepending a minus (-). You can surround exact phrases in quotes (") and you can even allow synonyms by prepending a tilde "~"
Example query: +vbs array ~loop "magic number"
If Google does not find anything it will remove some parts so that you will get any results at all
Unfortunately Google dropped + when they introduced Google+ social network. Nuff said Google+ is a ghost down nowadays but the + operator hasn't returned yet.
And even written "search term" doesn't work consistently anymore, Google thinks to know better and semi-randomly omit words and show results no one asked for.
Yes, you're right, they did this a looong time ago... BUT, sometimes Google still insists on showing you results that don't contain the word or phrase that you've explicitly requested must be in the results - utterly infuriating!
In Chrome, I've set up Google Verbatim as a search engine and made that the default address bar search. Here is the URL format: {google:baseURL}search?{google:RLZ}{google:acceptedSuggestion}{google:originalQueryForSuggestion}{google:searchFieldtrialParameter}{google:instantFieldTrialGroupParameter}sourceid=chrome&ie={inputEncoding}&q=%s&tbs=li:1
That stopped some time and and it's now extremely frustrating as the main article describes. I'm sure I read that putting the search in quotes is like the old + but it doesn't seem to be, rather just priority to that search.
I feel this is more a case of Google thinking it knows better.
I have a similar problem with ebay, if I'm looking for an "HP Z430" then I'll get pages of other items where Z430 isn't even in the description.
I can see some value in searching for alternative spellings and related items but there should still be the ability to be exact in your search terms.
This is [one of] the dark side[s] of the "adaptive" or "personalized" Web. The more adaptive and less deterministic, the less collaboratively and reliably useful it is, even if it happens to be better at serving attention-monster momentary gratification of the meme du jour.
The reliance on advertising revenue models means that all such Web properties morph into being essentially adversarial attention traps against users.
I would pay $50/month in a heartbeat for access to a no-ads, deterministic, guts-openened-with-API Google type engine (even if rate limited at that price to some high-human volume of usage).
> pay $50/month in a heartbeat for access to a [...] Google type engine
Never. And definitely not at USD 50 per month. That is a huge amount for this, although I suspect you're a pretty rare customer and/or exaggerating. Broadband or Mobile service, Satellite TV, etc. all have packages that cost about this much. Even a magazine subscription is a fraction of this amount, Netflix is only about 5-10 dollars a month, isn't it? I could see people paying 10% of the Netflix (ad free TV) charge for an ad free search engine maybe so USD 0.50 to 1.00 per month, 1% of your suggestion...
I think the biggest irony is that the web allows for more adoption of long-tail movements than ever before, and Google has gotten significantly worse at turning these up. I assume this has something to do with the fact that information from the long tail is substantially less searched for than stuff within the normal bounds.
This is a nightmare if you have any hobbies that share a common phrase with a vastly more popular hobby, and is especially common when it comes to tech-related activities. I use Linux at home, and I program VBA at work. At home Linux is crossed out of most of the first few pages, and I just get a ton of results about Windows, and at work VBA is crossed off and I get results about VB6 and .NET.
Completely. Useless.
I can only imagine this has something to do with their increasing reliance on AI, and the fact that the AI is probably incentivized to give a correct response to as many people'above the fold' as is possible. If 95% of people are served by dropping the specifically-chosen search term, then the AI probably thinks it's doing a great job.
It seems like the web is being optimized for casual users, and using the internet is no longer as skill you can improve to create a path towards a more meaningful web experience.