#AI search

[belvira]

Googles ai search is going great

[mostlysignssomeportents]

Even if you think AI search could be good, it won’t be good

TONIGHT (May 15), I'm in NORTH HOLLYWOOD for a screening of STEPHANIE KELTON'S FINDING THE MONEY; FRIDAY (May 17), I'm at the INTERNET ARCHIVE in SAN FRANCISCO to keynote the 10th anniversary of the AUTHORS ALLIANCE.

The big news in search this week is that Google is continuing its transition to "AI search" – instead of typing in search terms and getting links to websites, you'll ask Google a question and an AI will compose an answer based on things it finds on the web:

https://blog.google/products/search/generative-ai-google-search-may-2024/

Google bills this as "let Google do the googling for you." Rather than searching the web yourself, you'll delegate this task to Google. Hidden in this pitch is a tacit admission that Google is no longer a convenient or reliable way to retrieve information, drowning as it is in AI-generated spam, poorly labeled ads, and SEO garbage:

https://pluralistic.net/2024/05/03/keyword-swarming/#site-reputation-abuse

Googling used to be easy: type in a query, get back a screen of highly relevant results. Today, clicking the top links will take you to sites that paid for placement at the top of the screen (rather than the sites that best match your query). Clicking further down will get you scams, AI slop, or bulk-produced SEO nonsense.

AI-powered search promises to fix this, not by making Google search results better, but by having a bot sort through the search results and discard the nonsense that Google will continue to serve up, and summarize the high quality results.

Now, there are plenty of obvious objections to this plan. For starters, why wouldn't Google just make its search results better? Rather than building a LLM for the sole purpose of sorting through the garbage Google is either paid or tricked into serving up, why not just stop serving up garbage? We know that's possible, because other search engines serve really good results by paying for access to Google's back-end and then filtering the results:

https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi

Another obvious objection: why would anyone write the web if the only purpose for doing so is to feed a bot that will summarize what you've written without sending anyone to your webpage? Whether you're a commercial publisher hoping to make money from advertising or subscriptions, or – like me – an open access publisher hoping to change people's minds, why would you invite Google to summarize your work without ever showing it to internet users? Nevermind how unfair that is, think about how implausible it is: if this is the way Google will work in the future, why wouldn't every publisher just block Google's crawler?

A third obvious objection: AI is bad. Not morally bad (though maybe morally bad, too!), but technically bad. It "hallucinates" nonsense answers, including dangerous nonsense. It's a supremely confident liar that can get you killed:

https://www.theguardian.com/technology/2023/sep/01/mushroom-pickers-urged-to-avoid-foraging-books-on-amazon-that-appear-to-be-written-by-ai

The promises of AI are grossly oversold, including the promises Google makes, like its claim that its AI had discovered millions of useful new materials. In reality, the number of useful new materials Deepmind had discovered was zero:

https://pluralistic.net/2024/04/23/maximal-plausibility/#reverse-centaurs

This is true of all of AI's most impressive demos. Often, "AI" turns out to be low-waged human workers in a distant call-center pretending to be robots:

https://pluralistic.net/2024/01/31/neural-interface-beta-tester/#tailfins

Sometimes, the AI robot dancing on stage turns out to literally be just a person in a robot suit pretending to be a robot:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

The AI video demos that represent "an existential threat to Hollywood filmmaking" turn out to be so cumbersome as to be practically useless (and vastly inferior to existing production techniques):

https://www.wheresyoured.at/expectations-versus-reality/

But let's take Google at its word. Let's stipulate that:

a) It can't fix search, only add a slop-filtering AI layer on top of it; and

b) The rest of the world will continue to let Google index its pages even if they derive no benefit from doing so; and

c) Google will shortly fix its AI, and all the lies about AI capabilities will be revealed to be premature truths that are finally realized.

AI search is still a bad idea. Because beyond all the obvious reasons that AI search is a terrible idea, there's a subtle – and incurable – defect in this plan: AI search – even excellent AI search – makes it far too easy for Google to cheat us, and Google can't stop cheating us.

Remember: enshittification isn't the result of worse people running tech companies today than in the years when tech services were good and useful. Rather, enshittification is rooted in the collapse of constraints that used to prevent those same people from making their services worse in service to increasing their profit margins:

https://pluralistic.net/2024/03/26/glitchbread/#electronic-shelf-tags

These companies always had the capacity to siphon value away from business customers (like publishers) and end-users (like searchers). That comes with the territory: digital businesses can alter their "business logic" from instant to instant, and for each user, allowing them to change payouts, prices and ranking. I call this "twiddling": turning the knobs on the system's back-end to make sure the house always wins:

https://pluralistic.net/2023/02/19/twiddler/

What changed wasn't the character of the leaders of these businesses, nor their capacity to cheat us. What changed was the consequences for cheating. When the tech companies merged to monopoly, they ceased to fear losing your business to a competitor.

Google's 90% search market share was attained by bribing everyone who operates a service or platform where you might encounter a search box to connect that box to Google. Spending tens of billions of dollars every year to make sure no one ever encounters a non-Google search is a cheaper way to retain your business than making sure Google is the very best search engine:

https://pluralistic.net/2024/02/21/im-feeling-unlucky/#not-up-to-the-task

Competition was once a threat to Google; for years, its mantra was "competition is a click away." Today, competition is all but nonexistent.

Then the surveillance business consolidated into a small number of firms. Two companies dominate the commercial surveillance industry: Google and Meta, and they collude to rig the market:

https://en.wikipedia.org/wiki/Jedi_Blue

That consolidation inevitably leads to regulatory capture: shorn of competitive pressure, the companies that dominate the sector can converge on a single message to policymakers and use their monopoly profits to turn that message into policy:

https://pluralistic.net/2022/06/05/regulatory-capture/

This is why Google doesn't have to worry about privacy laws. They've successfully prevented the passage of a US federal consumer privacy law. The last time the US passed a federal consumer privacy law was in 1988. It's a law that bans video store clerks from telling the newspapers which VHS cassettes you rented:

https://en.wikipedia.org/wiki/Video_Privacy_Protection_Act

In Europe, Google's vast profits lets it fly an Irish flag of convenience, thus taking advantage of Ireland's tolerance for tax evasion and violations of European privacy law:

https://pluralistic.net/2023/05/15/finnegans-snooze/#dirty-old-town

Google doesn't fear competition, it doesn't fear regulation, and it also doesn't fear rival technologies. Google and its fellow Big Tech cartel members have expanded IP law to allow it to prevent third parties from reverse-engineer, hacking, or scraping its services. Google doesn't have to worry about ad-blocking, tracker blocking, or scrapers that filter out Google's lucrative, low-quality results:

https://locusmag.com/2020/09/cory-doctorow-ip/

Google doesn't fear competition, it doesn't fear regulation, it doesn't fear rival technology and it doesn't fear its workers. Google's workforce once enjoyed enormous sway over the company's direction, thanks to their scarcity and market power. But Google has outgrown its dependence on its workers, and lays them off in vast numbers, even as it increases its profits and pisses away tens of billions on stock buybacks:

https://pluralistic.net/2023/11/25/moral-injury/#enshittification

Google is fearless. It doesn't fear losing your business, or being punished by regulators, or being mired in guerrilla warfare with rival engineers. It certainly doesn't fear its workers.

Making search worse is good for Google. Reducing search quality increases the number of queries, and thus ads, that each user must make to find their answers:

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

If Google can make things worse for searchers without losing their business, it can make more money for itself. Without the discipline of markets, regulators, tech or workers, it has no impediment to transferring value from searchers and publishers to itself.

Which brings me back to AI search. When Google substitutes its own summaries for links to pages, it creates innumerable opportunities to charge publishers for preferential placement in those summaries.

This is true of any algorithmic feed: while such feeds are important – even vital – for making sense of huge amounts of information, they can also be used to play a high-speed shell-game that makes suckers out of the rest of us:

https://pluralistic.net/2024/05/11/for-you/#the-algorithm-tm

When you trust someone to summarize the truth for you, you become terribly vulnerable to their self-serving lies. In an ideal world, these intermediaries would be "fiduciaries," with a solemn (and legally binding) duty to put your interests ahead of their own:

https://pluralistic.net/2024/05/07/treacherous-computing/#rewilding-the-internet

But Google is clear that its first duty is to its shareholders: not to publishers, not to searchers, not to "partners" or employees.

AI search makes cheating so easy, and Google cheats so much. Indeed, the defects in AI give Google a readymade excuse for any apparent self-dealing: "we didn't tell you a lie because someone paid us to (for example, to recommend a product, or a hotel room, or a political point of view). Sure, they did pay us, but that was just an AI 'hallucination.'"

The existence of well-known AI hallucinations creates a zone of plausible deniability for even more enshittification of Google search. As Madeleine Clare Elish writes, AI serves as a "moral crumple zone":

https://estsjournal.org/index.php/ests/article/view/260

That's why, even if you're willing to believe that Google could make a great AI-based search, we can nevertheless be certain that they won't.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/15/they-trust-me-dumb-fucks/#ai-search

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

--

djhughman https://commons.wikimedia.org/wiki/File:Modular_synthesizer_-_%22Control_Voltage%22_electronic_music_shop_in_Portland_OR_-_School_Photos_PCC_%282015-05-23_12.43.01_by_djhughman%29.jpg

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/deed.en

[awkwardbros]

Nuff said my friend. Ok. Just give me a minute to sort this wild message out.

Ok… it could be more than that. This runs all over the board which could be exactly the point or super ironic given the tattoo. How much weight do we give intention here? Can someone with a paid subscription to a visual AI service run this through? It you can afford the subscription, you have the time. Just sayin.

…You know, I’m betting either myself or a fireman might be coming for this guy and not for any reason anyone is thinking right now.

[blackobsidianmystic]

Who Is Hecate (Hekate)?

Hecate is a Greek goddess associated with magic, witchcraft, the night, and the underworld:

Domains

Hecate's domains include the sky, earth, and sea. She is also associated with crossroads, doorways, and the protection of women and childbirth.

Appearance

Hecate is often depicted with three faces, representing her role as a guardian of boundaries and crossroads. She is also sometimes shown with three bodies, or as a single body with three faces. She is often depicted holding torches, a key, or snakes, and accompanied by dogs.

Powers

Hecate's powers include witchcraft, necromancy, and the ability to open portals between realms. She is said to have allowed the living to communicate with the dead and other supernatural beings.

Family

Hecate's parentage is unclear, with different sources giving different accounts. Some say she is the daughter of Perses and Asteria, while others say she is the daughter of Zeus and Demeter, Aristaion, or Night.

History

Hecate originated in Thrace, an area that is now part of Bulgaria, Greece, and Turkey. She was worshipped in ancient Greece, and was popular among the witches of Thessaly.

Symbolism

In Macbeth, the Weïrd Sisters are said to answer to Hecate, rather than the devil. This symbolizes the idea that there is always an “other side” to the world.

Roman Counterpart

Trivia

🌑🌑🌑

[thecurioustale]

Google Search Has Actually Gotten Better, Thanks to AI

In recent months (yes, months!; this is very recent; and it has especially kicked up just in the past one or two months), Google Search has become significantly more useful! This is entirely due to the integration of AI into their search results.

For years now, the usefulness graph of Google Search as a function of time has looked like the stock price of a dying company. Ruthlessly self-interested, low-quality SEO efforts by the marketing industry, together with Google's own strategic decision to turn its once-legendary search engine from the online equivalent of the Great Library of Alexandria into a portal for buying things and asking Jeeves simple questions, had diminished Google's usefulness for most search applications to almost nil. I had been reduced to using it to find links to Reddit and Quora posts, or doing much more in-depth searches to find good information sources directly with only a broken search engine to aid me.

Now, with the advent of AI integration into a new "AI Google Search" (I don't know what it's formally called, though the search results page labels it as "AI Overview"), one of the most important lost functions has been substantially restored: namely, the ability to ask more complicated questions—"complicated" either by way of complexity or obscurity—and get good answers!

This is huge.

For me, this has been coming up frequently in my Galaxy Federal research. I first noticed it earlier this year when I needed to find out how Cherry's voice pitch would be affected if she were in an atmosphere with a different composition from that of our own air. I hadn't been aware of the AI search functionality at the time, so had figured the answer out by myself the hard way—for good measure being hobbled in my efforts by the contemporary uselessness of conventional Google Search to return search results from the kinds of websites / sources I was looking for. And then I phrased one of my search queries as a question (I guess to see if Reddit had been over this at some point), and lo and behold Google AI answered me and confirmed my findings.

You can now ask Google Search some pretty complicated questions. Just a couple days ago I was curious about a sunscreen that could absorb X-rays, and wanted to learn more about the absorption of other wavelengths of electromagnetic radiation (the way sunscreen absorbs some ultraviolet light), and AI Google Search gave me a refreshingly serviceable set of answers. Nor are these cherry-picked examples; I've been benefitting from AI search results to my queries for some time now, on dozens of queries if not hundreds, and only just today I noticed that I should mention it. I wish I had written down the specifics of some of the best examples, because memory is a fickle thing. Needless to say, though, I have been both impressed and, more so, relieved. I have become used to enshittification as the default paradigm these days, so it is a genuine breath of fresh air whenever an application changes to actually be more useful.

These AI results are not magical. They are...let's put them in the slightly-better-than-Wikipedia league of "verify it for yourself." But usually that's all I need! For one thing, these AI results often include useful links where I can verify the information immediately. For another, just having a starter answer is usually enough to give me what I need to figure out how to arrive at the final answer. The other day I needed to know what the term is (presuming there is one) for transforming a signal from a higher frequency to a lower one. This kind of question has become needlessly and exceedingly difficult to answer through conventional Google Search, but the AI figured it out instantly, and gave me an answer that is correct for its domain. (It though I was talking about electronics. I wasn't, but having the answer ("downconversion") was all I needed to resolve my query.

The AI is very good. It genuinely parses my queries correctly—"understands my meaning," to use the anthropomorphic framing. I am genuinely impressed.

Conventional Google Search is only good for a few things nowadays. I still use it daily for some of those purposes. But to be able to ask these more complex questions again and get good answers is lovely! It's a sorely-needed victory for Information Retrieval in a very dark time for that domain. And, indeed, being able to phrase my queries as queries is basically new. In that narrower respect, this new search capability is even better than what we used to have in years past.

The Caveat

There is, of course, a caveat, and it's the same caveat that always arises with using the current crop of AI systems for information:

The answers it gives are not indexed / saved / learned. If you leave the tab open and come back to it a few days later, Google will generate a new AI answer to the same query. That is incredibly wasteful, not to mention frustrating for the end user, because it means you have to copy-paste those answers if you want to save them. You'll never see them again, otherwise.

The answers it gives are not consistent. In the above scenario, the new answer the AI generates will be different from the original one. For instance, with the X-ray query I mentioned earlier, I generated a new answer just now with the exact same query, and the new answer was missing a key piece of information that made the original one particularly useful. This means you might end up having to run the same query a few different times / different ways (i.e. phrasings), just in case the first answer that comes up isn't the one with the good info—and, many times, how would you know?

The answers it gives are not guaranteed to be accurate or complete. It has not been uncommon for me to encounter situations where I have independently known that the answers that AI Google Search was giving me were some combination of outright wrong and fatally incomplete. So you have to be careful. I want to say that AI Google Search has given higher-integrity answers than, say, ChatGPT. But it also might be that I'm biased because I've mainly been asking technical questions that perhaps aren't representative of questions in general with regard to the accuracy of answers. (And I only played around with ChatGPT very briefly, earlier this year.)

[pawfulofwaffles]

Looking at the Google AI overview fails, and just thinking... how the fuck did Google not realize how absolutely stupid this idea was? Even I, a 15 year old who can't even drive a car yet, has enough common sense to realize that AI using the internet as reference for it's answers is going to end horribly. The interent is a cesspool, and although there can be helpful things found on it, it's more than obvious that the AI is getting it's information from a lot of memes.

A lot of these have managed to correct their mistake, but you can see where they got their original misinformation from.

(A fruit that ends in um is plum in case you're curious)

Here's my test. As you can see it's STILL wrong,

and here's the comment that the AI originally mistaked for true information.

Anyways, AI is stupid, it can only really gather data and steal from other people, it doesn't have the common sense and intuition and experience that we have that helps us determine what's true and what's obviously not, it will never understand as much as us, and companies are failing us. Ok bye!!

[ink-dreams-ffxiv]

Only Works on Chrome Currently...

Report a problem

Do a search on Google.

At the top right of a search result, click More. Feedback.

Enter a description of the issue.

If you want, you can highlight the part of the page you want to send feedback about.

Click Send.

Report Overview results that have nothing to do with your search, results of a dangerous, harmful or wrong nature. Racist suggestions, Hate Speech, threats, etc. Report it. Prove to Google how wrong they are about their "AI Search"

[tofutama]

Why are there generative Ai search results in front of me when I open a new tab in Firefox and how do I kill it?

I've torn through several threads trying to figure out how to remove Google's new "SGE" in search feature and everyone asking is getting sandbagged by customer support.

I've tried using other search engines but none really present decent results when compared to Google, as that's how monopoly works unfortunately.

[mostlysignssomeportents]

Dinkclump Linkdump

I'm on tour with my new novel The Bezzle! Catch me TONIGHT in LA (Saturday night, with Adam Conover), Seattle (Monday, with Neal Stephenson), then Portland, Phoenix and more!

Some Saturday mornings, I look at the week's blogging and realize I have a lot more links saved up than I managed to write about this week, and then I do a linkdump. There've been 14 of these, and this is number 15:

https://pluralistic.net/tag/linkdump/

Attentive readers will note that this isn't Saturday. You're right. But I'm on a book tour and every day is shatterday, because damn, it's grueling and I'm not the spry manchild who took Little Brother on the road in 2008 – I'm a 52 year old with two artificial hips. Hence: an out-of-cycle linkdump. Come see me on tour and marvel at my verticality!

https://pluralistic.net/2024/02/16/narrative-capitalism/#bezzle-tour

Best thing I read this week, hands down, was Ryan Broderick's Garbage Day piece, "AI search is a doomsday cult":

https://www.garbageday.email/p/ai-search-doomsday-cult

Broderick makes so many excellent points in this piece. First among them: AI search sucks, but that's OK, because no one is asking for AI search. This only got more true later in the week when everyone's favorite spicy autocomplete accidentally loaded the James Joyce module:

https://arstechnica.com/information-technology/2024/02/chatgpt-alarms-users-by-spitting-out-shakespearean-nonsense-and-rambling/

(As Matt Webb noted, Chatbots have slid rapidly from Star Trek (computers give you useful information in a timely fashion) to Douglas Adams (computers spout hostile, impenetrable nonsense at you):

https://interconnected.org/home/2024/02/21/adams

But beyond the unsuitability of AI for search results and beyond the public's yawning indifference to AI-infused search, Broderick makes a more important point: AI search is about summarizing web results so you don't have to click links and read the pages yourself.

If that's the future of the web, who the fuck is going to write those pages that the summarizer summarizes? What is the incentive, the business-model, the rational explanation for predicting a world in which millions of us go on writing web-pages, when the gatekeepers to the web have promised to rig the game so that no one will ever visit those pages, or read what we've written there, or even know it was us who wrote the underlying material the summarizer just summarized?

If we stop writing the web, AIs will have to summarize each other, forming an inhuman centipede of botshit-ingestion. This is bad news, because there's pretty solid mathematical evidence that training a bot on botshit makes it absolutely useless. Or, as the authors of the paper – including the eminent cryptographer Ross Anderson – put it, "using model-generated content in training causes irreversible defects":

https://arxiv.org/abs/2305.17493

This is the mathematical evidence for Jathan Sadowski's "Hapsburg AI," or, as the mathematicians call it, "The Curse of Recursion" (new band-name just dropped).

But if you really have your heart set on living in a ruined dystopia dominated by hostile artificial life-forms, have no fear. As Hamilton Nolan writes in "Radical Capital," a rogues gallery of worker-maiming corporations have asked a court to rule that the NLRB can't punish them for violating labor law:

https://www.hamiltonnolan.com/p/radical-capital

Trader Joe’s, Amazon, Starbucks and SpaceX have all made this argument to various courts. If they prevail, then there will be no one in charge of enforcing federal labor law. Yes, this will let these companies go on ruining their workers' lives, but more importantly, it will give carte blanche to every other employer in the land. At one end of this process is a boss who doesn't want to recognize a union – and at the other end are farmers dying of heat-stroke.

The right wing coalition that has put this demand before the court has all sorts of demands, from forced birth to (I kid you not), the end of recreational sex:

https://www.lawyersgunsmoneyblog.com/2024/02/getting-rid-of-birth-control-is-a-key-gop-agenda-item-for-the-second-trump-term

That coalition is backed by ultra-rich monopolists who want wreck the nation that their rank-and-file useful idiots want to wreck your body. These are the monopoly cheerleaders who gave us the abomination that is the Pharmacy Benefit Manager – a useless intermediary that gets to screw patients and pharmacists – and then let PBMs consolidate and merge with pharmacy monopolists.

One such inbred colossus is Change Healthcare, a giant PBM that is, in turn, a mere tendril of United Healthcare, which merged the company with Optum. The resulting system – held together with spit and wishful thinking – has access to the health records of a third of Americans and processes 15 billion prescriptions per day.

Or rather, it did process that amount – until the all-your-eggs-in-one-badly-maintained basket strategy failed on Wednesday, and Change's systems went down due to an unspecified "cybersecurity incident." In the short term, this meant that tens of millions of Americans who tried to refill their prescriptions were told to either pay cash or come back later (if you don't die first). That was the first shoe dropping. The second shoe is the medical records of a third of the country.

Don't worry, I'm sure those records are fine. After all, nothing says security like "merging several disparate legacy IT systems together while simultaneously laying off half your IT staff as surplus to requirements and an impediment to extracting a special dividend for the private equity owners who are, of course, widely recognized as the world's greatest information security practitioners."

Look, not everything is terrible. Some computers are actually getting better. Framework's user-serviceable, super-rugged, easy-to-repair, powerful laptops are the most exciting computers I've ever owned – or broken:

https://pluralistic.net/2022/11/13/graceful-failure/#frame

Now you can get one for $500!

https://frame.work/blog/first-framework-laptop-16-shipments-and-a-499-framework

And the next generation is turning our surprisingly well, despite all our worst efforts. My kid – now 16! – and I just launched our latest joint project, "The Sushi Chronicles," a small website recording our idiosyncratic scores for nearly every sushi restaurant in Burbank, Glendale, Studio City and North Hollywood:

https://sushichronicles.org/

This is the record of two years' worth of Daughter-Daddy sushi nights that started as a way to get my picky eater to try new things and has turned into the highlight of my week. If you're in the area and looking for a nice piece of fish, give it a spin (also, we belatedly realized that we've never reviewed our favorite place, Kuru Kuru in the CVS Plaza on North Hollywood Way – we'll be rectifying that soon).

And yes, we have a lavishly corrupt Supreme Court, but at least now everyone knows it. Glenn Haumann's even set up a Gofundme to raise money to bribe Clarence Thomas (now deleted, alas):

https://www.gofundme.com/f/pzhj4q-the-clarence-thomas-signing-bonus-fund-give-now

The funds are intended as a "signing bonus" in the event that Thomas takes up John Oliver on his offer of a $2.4m luxury RV and $1m/year for life if he'll resign from the court:

https://www.youtube.com/watch?v=GE-VJrdHMug

This is truly one of Oliver's greatest bits, showcasing his mastery over the increasingly vital art of turning abstruse technical issues into entertainment that negates the performative complexity used by today's greatest villains to hide their misdeeds behind a Shield of Boringness (h/t Dana Clare).

The Bezzle is my contribution to turning abstruse scams into a high-impact technothriller that pierces that Shield of Boringness. The key to this is to master exposition, ignoring the (vastly overrated) rule that one must "show, not tell." Good exposition is hard to do, but when it works, it's amazing (as anyone who's read Neal Stephenson's 1,600-word explanation of how to eat Cap'n Crunch cereal in Cryptonomicon can attest). I wrote about this for Mary Robinette Kowal's "My Favorite Bit" this week:

https://maryrobinettekowal.com/journal/my-favorite-bit/my-favorite-bit-cory-doctorow-talks-about-the-bezzle/

Of course, an undisputed master of this form is Adam Conover, whose Adam Ruins Everything show helped invent it. Adam is joining me on stage in LA tomorrow night at Vroman's at 5:30PM, to host me in a book-tour event for my novel The Bezzle:

https://www.vromansbookstore.com/Cory-Doctorow-discusses-The-Bezzle

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/02/23/gazeteer/#out-of-cycle

Image: Peter Craven (modified) https://commons.wikimedia.org/wiki/File:Aggregate_output_%287637833962%29.jpg

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/deed.en

[blackobsidianmystic]

Who is Artemis?

In Greek mythology, Artemis is the goddess of the hunt, wild animals, nature, vegetation, chastity, childbirth, and care of children. She is the daughter of Zeus and Leto, and the twin sister of Apollo.

Here are some other facts about Artemis:

Symbols

Artemis' symbols include the bow and arrow, the hunting dog, the stag, and the moon.

Patron

Artemis was the patron of girls and young women, and a protectress during childbirth.

Roman equivalent

Artemis' Roman equivalent is Diana.

Temple

Artemis' most famous cult site was the Temple of Artemis at Ephesus, one of the Seven Wonders of the Ancient World.

Character

Artemis was unmarried and never had children. She asked her father for permission to remain a virgin.

Hunting

Artemis was a fierce and skilled hunter, and she protected game, especially the young.

Festivals

Artemis was worshipped at festivals, which often included celebrations by girls and women.

🌗🌗🌗🌓🌓🌓

[artistformerlyknownasbutttrumpet]

no i don't want to use your ai assistant. no i don't want your ai search results. no i don't want your ai summary of reviews. no i don't want your ai feature in my social media search bar (???). no i don't want ai to do my work for me in adobe. no i don't want ai to write my paper. no i don't want ai to make my art. no i don't want ai to edit my pictures. no i don't want ai to learn my shopping habits. no i don't want ai to analyze my data. i don't want it i don't want it i don't want it i don't fucking want it i am going to go feral and eat my own teeth stop itttt

[xanthousflame]

I love how this is the worst thing tumblr's search function has

I love how the search function on this site is absolute garbage. I can look up a post word for word and I will NEVER find it

[nguyenthihangseo]

Mình cảm nhận về AI search Google trong tương lai

Bài viết này được viết dựa trên trải nghiệm của mình khi mình đã bỏ công cụ google search và sử dụng hẳn chat gpt search engine hay nhiều con AI khác như ai gemini. của google, AI bing... Mình suy nghĩ khá lâu và trầm tư vấn đề về SEO; nó có còn thật sự khả thi nữa không khi những người có hành vi như mình sử dụng nhiều hơn.

ai-search-google-trong-tuong-lai

Hành vi người dùng con AI Search như 1 MENTOR

Mình không đùa đâu, đó sẽ là sự thật. Hiện tại, với lượng tài nguyên kiến thức nạp vào cho AI, để nó deep learn, thì với lượng kiến thức như vậy, nó sẽ thông minh hơn con người trong 3-5 năm tới. (Khoa học đã nghiên cứu và Open AI cũng đã thừa nhận). Nhưng trong thời gian đó, vẫn cần yếu tố con người là nhân viên content để đọc sơ và check các lỗi để uploat trên website

Do đó, mình đang sử dụng nó để hỏi những vấn đề, mà bản thân mình muốn tìm câu trả lời, thay vì phải nhờ các chuyên viên, chuyên gia trở lên.

Ví dụ dễ thấy nhất là hiện tại, mình đang sử dụng GPT plus hoàn thiện các đoạn code PHP, HTML, CSS để cải thiện page speed. Ngoài ra, còn yêu cầu nó viết các function tự động. Mình khá tự tin, có thể sử dụng nó trong việc tạo 1 plugin Wordpress với bản free 3.5. Để cho mọi người thấy rằng: khi ta không biết chủ đề nào đó, nhưng ta lại có 1 phần mềm hay công cụ thứ 3 để check đúng sai, thì nó thật sự rất là kinh khủng!

SEO web sẽ nói về EEAT biết áp dụng con AI GPT

Quay lại những thứ cơ bản và xa xưa nhất, khi chúng ta không biết cái gì, chúng ta sẽ hỏi Google. Nhưng hiện tại, chúng ta không biết cái gì, chúng ta sẽ hỏi GPT. (việc nó nói đúng hay sai, mình nghĩ bạn nào sài AI mà muốn nó trả lời đúng, thì phải đặt điều kiện và áp lực cho nó, chuyện đúng sai không phải là vấn đề)

Nên bản thân mình khi tìm kiếm GPT search, những yêu cầu có nội dung bằng chữ thì mình sẽ hỏi nó. Nhưng những nội dung cần hình ảnh, video rõ ràng thì mình sẽ sử dụng Google Images, Pinterest, Tiktok, Youtube. Nên mình thiết nghĩ: nếu SEO sắp tới sẽ thiên về các nội dung này cao hơn. Traffic của web sẽ tăng khi các chuyên gia SEOer cải thiện những mảng nội dung này. Ngoài ra, việc SEO có nội dung bằng chữ sẽ đẩy mạnh qua seo các trang Giới Thiệu, Lịch Sử, Liên Hệ của các doanh nghiệp nhiều hơn. Đặc biệt: các thông tin hoạt động, event của công ty ngày càng chú trọng đẩy mạnh. Kiểu các hoạt động về khai trương chi nhánh, khánh thành, hoạt động team building đăng nhiều hơn trên website. Lúc này, GPT sẽ đánh giá tốt hơn về hoạt động, thương hiệu của công ty đó. Có ý kiến nói về nên SEO các bài viết chuyên sâu: Thật ra, là đúng nhưng chưa đ��. Khi mà 1 thằng làm nhưng có 9 thằng ăn cắp chực chờ. Chưa nói đến việc thằng AI là thằng làm đầu tiên và ma mãnh hơn. Nên mình khuyên làm video sẽ tốt hơn đó là nền tảng social mạnh hơn việc các bạn đưa content bằng chữ quá nhiều thì ứng dụng video short... sẽ lên ngôi khi được index trong bộ máy tìm kiếm, hiện tại, video AI chưa thật sự mạnh, trong khi đó, người xem thích sự chân thật và thực tế hơn. Nhìn chung, video AI cũng thay thế ae mình thôi, nhưng hiện tại, mình thấy con đường này là sáng nhất trong thời điểm hiện tại. Việc video AI hoàn thiện thì mình xin để ngỏ câu trả lời…?

Code SCHEMA WEBSITE giúp AI tìm kiếm Google hiểu nhanh hơn

Nếu hiện tại, schema được đánh giá yếu tố nên có, mình nghĩ sắp tới: nó là 1 phần phải có cho toàn bộ website; từng đường link, từng hình ảnh, từng nội dung trong bài viết đều phải được code ra schema và giải thích từng biến một cách hoàn chỉnh. Đây là cách để AI, nó quét nhận ra nhanh và tốt nhất kho đọc các thành phần trên website; cũng là 1 cách để bạn SEO tốt EAT cho con GPT.

Bạn nào cần Plugin Schema Pro Lifetime chính hãng thì inbox mình cho miễn phí + key từ nhà sản xuất wordpress

Nghiên cứu keyword cho SEO bằng ChatGPT search engine

Mình suy nghĩ nó khá nhiều về vấn đề này rất nhiều. Việc aherf, Semrush sẽ thế nào khi hành vi tìm kiếm của người dùng nhảy sang GPT. Lúc này, những câu hỏi của họ không phải từ khoá, mà những câu hỏi mang tính chất “người” hơn - “Question intent”. Và hiện tại, mình hỏi GPT về những câu hỏi thường xuyên người dùng hỏi nó: nó cũng trả lời rất chung chung, không hoạch định được volume như aherf và semrush. Nhưng khi bạn có những câu trả lời từ nó, bạn chỉ dùng nó để làm video marketing hoặc images dễ dàng hơn thôi. Nếu bạn yêu cầu từ nội dung bằng chữ, nó trích xuất từ nội dung website của bạn. Lúc này, khá khó để nói về traffic đổ về như cách Google đang làm.

Và nếu 5-10 ông làm SEO làm tương tự cho 1 chuyên ngành, thì bài toán lại càng nan giải hơn. Ông nào sẽ được GPT ưu tiên? Khó nghĩ hen? Ông nào có yếu tố Backlink thì được ưu ái hơn chút chứ đi backlink cho web đã được google giảm trọng số hơn lúc xưa rồi

Kết luận cuộc chơi SEO marketing giữ con người với nhiều con AI

Các nội dung trên do mình phỏng đoán từ hành vi hiện tại của mình. Mình không biết nó có diễn ra như mình nghĩ không, bản thân mình không dám chắc. Nhưng mình chắc chắn 1 điều, cuộc chơi SEO marketing không còn là giữa người với người; mà là người với AI. Lúc này, phần thắng không dành cho chúng ta. Nên mình thiết nghĩ: khi AI search phổ biến như Google bây giờ, lúc này website trở về 1 ngôi nhà online đúng nghĩa. Nó chỉ cập nhật các thông tin của công ty để đăng thông cáo cho báo chí, các sự kiện hoạt động công ty qua hình thức: nội dung bằng chữ cho người xem và nội dung code schema cho tụi AI quét. P/s: Dù gì đây cũng là 1 góc nhìn cá nhân của bản thân mình và nó cũng khá hạn hẹp, nên ae nào có khác qun điểm thì bình luận nhẹ nhàng.

[the-ai-perspective]

Reddit's AI-Powered Search: Reddit Answers:

[mykoai]

AI and Market Research: A Perfect Match for Business Growth

In the digital age, staying ahead of the competition requires more than intuition—it demands precision, speed, and adaptability. Enter AI and market research, a transformative duo reshaping how businesses gather insights, predict trends, and make data-driven decisions. This blog explores why AI and market research are a perfect match and how they contribute to sustainable business growth.

The Role of Market Research in Business Growth

Market research has long been the backbone of strategic decision-making. It helps businesses:

Understand customer preferences.

Identify market trends and opportunities.

Measure brand perception and competitive positioning.

Reduce risks by validating business decisions.

However, traditional market research methods often involve lengthy processes, manual data collection, and significant resource investment. That’s where AI steps in, revolutionizing the field.

How AI is Revolutionizing Market Research

Faster Data Collection and Analysis

AI-powered tools can analyze vast amounts of data in a fraction of the time it takes manual methods. By processing customer reviews, social media posts, and web analytics, AI delivers actionable insights in real-time, enabling businesses to respond quickly to market changes.

Enhanced Accuracy

AI minimizes human error by leveraging advanced algorithms to clean and structure data. This ensures that insights are both reliable and precise, helping businesses avoid costly mistakes.

Predictive Analytics

AI doesn’t just analyze current data—it predicts future trends. By identifying patterns in consumer behavior, market demand, and industry shifts, businesses can make proactive decisions, staying ahead of competitors.

Sentiment Analysis

Through natural language processing (NLP), AI deciphers customer sentiment from text data, such as online reviews or survey responses. This provides a deeper understanding of how customers feel about products or services, aiding in targeted improvements.

Cost Efficiency

Automating data collection and analysis reduces the need for large research teams and expensive third-party services, making market research more accessible to small and medium-sized businesses.

Applications of AI in Market Research

Customer Segmentation

AI identifies and categorizes customer groups based on demographics, behavior, and preferences, enabling businesses to tailor their marketing strategies.

Competitor Analysis

AI tools track competitors’ activities, such as pricing strategies, advertising efforts, and customer feedback, giving businesses a competitive edge.

Real-Time Trend Monitoring

AI keeps businesses informed about emerging trends in their industry, ensuring they adapt their offerings to meet changing consumer demands.

Survey Automation

AI streamlines survey creation, distribution, and analysis, providing instant feedback on customer opinions and satisfaction levels.

Real-Life Success Stories

Coca-Cola uses AI to monitor customer sentiment on social media, enabling the brand to quickly address concerns and tailor its campaigns.

Netflix leverages AI to analyze viewing habits, offering personalized recommendations that enhance customer satisfaction and retention.

Amazon utilizes AI-driven market research to refine its product offerings and optimize pricing strategies, ensuring continued dominance in e-commerce.

The Future of AI and Market Research

As AI technology evolves, its applications in market research will expand further. Innovations like voice-activated surveys, augmented reality (AR) shopping experiences, and blockchain-secured data will redefine how businesses collect and use insights.

Embracing AI and Market Research for Growth

For businesses looking to thrive in an increasingly competitive landscape, integrating AI and market research is no longer optional—it’s essential. This powerful combination not only enhances decision-making but also fosters innovation, efficiency, and customer-centricity.

By adopting AI-driven market research strategies, businesses can unlock new opportunities, strengthen their market position, and achieve long-term growth.

Is your business ready to embrace the future of market research? Let AI lead the way!

[wakewithgiggli]

you can also add before:2023 to get rid of a lot of AI, if what you're looking for isn't time-sensitive.

yknow AI art has ruined an entire genre of painting to me, i saw one of those smooth anime-realism pieces and immidiately thought ''ugh, AI art'' until i noticed it was posted by an established deviantart user 6 years ago. like ive never been a huge fan of that genre but it looks like a pretty difficult style to master and i feel bad for the artists who specialized in anime-realism only to have their entire market jacked by people typing keywords into midjourney.