#How to Use AI for Seo

[passionfruitinc]

Machine Learning for SEO | Passionfruit

Passionfruit utilizes Machine Learning for SEO to revolutionize how businesses optimize their online presence. By analyzing vast datasets, Passionfruit's advanced algorithms identify trends, predict search engine behavior, and suggest targeted strategies. This approach enhances keyword research, content creation, and backlink building. With Passionfruit, businesses can achieve higher rankings, increased traffic, and improved user engagement, leveraging the power of machine learning to stay ahead in the competitive digital landscape.

[siteitnow]

Why 2025 is the year to prioritize Answer Engine Optimization. Stay ahead with expert insights about AEO and unlock growth opportunities.

[hexedbug]

to reiterate: i'm not pro or anti ai but a secret third thing (anti copyright)

[infosoul24in]

Artificial intelligence applications

Key Points:

Artificial intelligence (AI) is a rapidly advancing technology with applications across multiple industries.

AI is being used in healthcare to improve diagnostics, personalized medicine, and patient care.

In finance, AI is utilized for fraud detection, risk assessment, and algorithmic trading.

AI is transforming the automotive industry through self-driving cars, predictive maintenance, and enhanced safety features.

Retail and e-commerce benefit from AI in areas like demand forecasting, personalized recommendations, and chatbots for customer service.

AI is revolutionizing the manufacturing sector with smart factories, automation, and predictive maintenance.

Education is leveraging AI for adaptive learning, intelligent tutoring systems, and personalized education plans.

AI is playing a significant role in the agriculture industry with precision farming, crop monitoring, and yield optimization.

AI is being applied in the energy sector for predictive maintenance of infrastructure, energy grid optimization, and renewable energy resource management.

Other fields where AI is making an impact include cybersecurity, logistics, entertainment, and human resources.

The ethical implications of AI, such as privacy concerns, bias in algorithms, and job displacement, need to be addressed for responsible and inclusive AI development.

Key Takeaway: Artificial intelligence is transforming various industries, offering immense potential for improving efficiency, accuracy, and innovation. However, ethical considerations and responsible development are crucial to ensure a fair and beneficial AI future.

For More information You Can Also Read:- https://infosoul24in.in/a-beginners-guide-to-artificial-intelligence-applications-unlocking-the-potential-of-ai-in-various-fields/

[rathcoremarketing]

What Is an AI Overview and How Does It Impact SEO?  

Artificial intelligence is the genius brain behind the curtain, quietly reshaping the rules of SEO while most marketers are still fumbling with yesterday’s playbook.

So, what is AI overview​ in simple terms?

It’s machines thinking like humans, only faster, sharper, and with no coffee breaks. And if you’re still treating SEO like it’s a checklist, congratulations—you’ve already lost the game.

Here’s the blunt truth: AI doesn’t just help you rank higher; it redefines how search engines and users interact. It’s not a helper; it’s the boss, dictating terms in a language only the bold bother to learn.

Stick around, because by the end of this, you’ll either fear it or own it. Either way, pretending it’s not rewriting SEO is like ignoring gravity—it’s going to hit, and it doesn’t care if you’re ready.

What is an AI Overview?

Artificial intelligence is backbone of search engines like Google, quietly turning chaos into clarity while most users click through their top-ranked results without a second thought.

So, what is AI overview on Google?

It’s the cheat sheet that explains how AI does the heavy lifting—improving search rankings, interpreting intent, and serving up content that feels eerily tailored to your needs.

But why does this matter to you?

Traditional search ranking algorithms were built on rules; AI rewrites them with every query. Instead of relying on static factors like keyword density or backlinks alone, AI overviews provide the bigger picture—context, behavior, and relevance. For marketers, that means knowing how AI interprets search intent is no longer optional; it’s survival.

Take Google’s RankBrain, for example. This AI-driven engine doesn’t just crawl your site for keywords. It deciphers meaning, intent, and even nuances in phrasing. Compare that to the keyword-stuffed methods of yesteryear, and it’s clear that AI doesn’t just change the game—it rewrites the rulebook mid-play.

In short, understanding AI and SEO isn’t just about keeping up with trends; it’s about staying visible in a search engine optimization race that never hits pause.

Key Elements of AI Overview Optimization

Artificial intelligence doesn’t “work” the way humans do—it works better. Especially when it comes to SEO. Forget the days of stuffing keywords into your metadata like an over-packed suitcase. AI has stepped in, and it’s not playing by the old rules. If you’re still treating search engine optimization like a mechanical checklist, congratulations: AI just filed you under “outdated.”

So, what are the key elements of ai overview seo optimization?

AI Content Optimization: Smarter Content, Better Rankings

AI doesn’t just optimize content; it learns from it. Tools like Jasper.ai or MarketMuse analyze massive datasets to identify patterns, user intent, and content gaps. For marketers, this means you’re no longer guessing what works—AI already knows.

Example: AI can analyze which questions users frequently ask (e.g., “how does AI work?”) and ensure your content answers them naturally. This improves relevance and increases your chances of landing in featured snippets.

Use AI tools to find semantically related terms. This boosts your content’s authority without overloading primary keywords.

AI Search Ranking: The Algorithms Have Grown Up

Google’s RankBrain and BERT have redefined how search rankings are calculated. Instead of simply counting backlinks or keyword density, AI evaluates context, intent, and even tone.

RankBrain: Acts like an interpreter, understanding queries that have never been searched before. (Fun fact: 15% of Google searches daily are completely new.)

BERT: Specializes in understanding natural language, making it critical for long-tail keyword optimization and conversational search.

If your content isn’t aligned with how these algorithms “think,” don’t expect to rank anytime soon.

On-Page SEO: AI Gets It Done Faster and Cleaner

Let’s be honest: on-page SEO has always been a slog. Metadata, keyword placement, alt tags—it’s detail work that nobody loves. Now comes AI, your new efficiency machine.

Metadata: Tools like Clearscope or SurferSEO can generate optimized meta descriptions and title tags based on what users actually search for.

Headings: AI recommends structuring headings to match search intent, making it easier for search engines to “read” your page.

Keyword Use: Instead of cramming keywords, AI suggests natural integration, ensuring you stay relevant without sounding robotic.

AI is like your editor—only it doesn’t need coffee breaks and never misses a misplaced keyword.

Optimizing for AI Overviews: Think Bigger, Rank Higher

Optimizing for AI-driven overviews means focusing on what really matters: user intent and content relevance. AI prioritizes results that deliver the most value, not the ones with the fanciest keyword tricks.

Craft Intent-Driven Content: AI doesn’t care about fluff—it rewards actionable, focused content. Answer questions before your competitors do, and make sure your information is comprehensive yet digestible.

Enhance Readability: Break down complex ideas into simple, easy-to-follow sections. Tools like Hemingway Editor help ensure your writing is clear and concise.

Visual Data Integration: AI prefers content enriched with data-driven visuals or examples. Including tables or cited stats is expected.

The BERT and RankBrain Effect

The old SEO playbook is officially dead, thanks to Google’s BERT and RankBrain. These are machine-learning powerhouses rewriting how search engines evaluate relevance.

BERT: It’s like the mind-reader. It doesn’t just analyze keywords; it understands how words fit together in a sentence to capture subtle nuances.

RankBrain: While BERT handles language, RankBrain learns over time, adapting its interpretations based on user behavior. Essentially, it “gets smarter” the more people use it.

Together, these tools mean one thing: SEO is no longer about tricking the system; it’s about working with it. Write for humans, but optimize for machines. That’s how you win.

AI Overview SEO vs. Other SEO Strategies

Not all SEO strategies are the same. Some crawl while others sprint, and AI overview SEO? It’s not even on the same track—it’s rewriting the race entirely.

If you’re still relying on traditional methods or betting it all on content-first approaches, you’re operating in the slow lane while AI speeds ahead.

Here’s the breakdown.

Traditional SEO: The Manual Labor of Search Engine Optimization

Traditional SEO has long been the cornerstone of ranking strategies. It’s built on a foundation of manual optimization:

Researching keywords by combing through search data.

Optimizing metadata line by line.

Building backlinks one outreach email at a time.

Sound familiar?

Sure, these tactics still work—sort of. But compared to AI-driven automation, traditional SEO feels like chiseling a statue with a spoon when AI brings precision tools to the job.

Why AI Wins

AI automates labor-intensive processes like keyword research and competitive analysis. Instead of you guessing which terms drive traffic, AI predicts intent—the why behind every search. Google’s RankBrain, for instance, analyzes billions of data points to understand what users really mean when they type, “What’s the best strategy for SEO today?”

Content-First SEO: When Quality Isn’t Quite Enough

Content-first SEO is the darling of digital marketers who swear by the “if you write it, they will come” mantra. It focuses on crafting high-quality, human-centric content designed to inform and engage. And it works—sometimes.

Here’s the catch: great content still needs to be found. Now comes AI overview SEO, which enhances discovery by aligning with how search engines now rank pages.

Why AI Wins Again

AI doesn’t just improve content discovery; it actively enhances content quality. AI content optimization tools, like SurferSEO and Jasper.ai, analyze what’s working (and what isn’t) across thousands of articles in real-time. They suggest updates that boost relevance, ensuring your content satisfies user intent without compromising quality.

AI-Powered SEO Tools

You don’t have to choose between content-first or traditional strategies when AI tools integrate seamlessly with both. Tools like Clearscope and Frase bridge the gap by:

Optimizing Keywords: Identifying semantically related terms and intent-driven phrases.

Enhancing On-Page SEO: Automating metadata suggestions and readability improvements.

Streamlining Audits: Offering insights into what’s holding your content back and how to fix it.

These tools turn AI into your SEO co-pilot, helping you achieve faster, more precise results without abandoning the principles of quality or strategy.

Why AI Overview SEO is the Future

Look, AI and SEO are inseparable in today’s digital marketing landscape. Search engines have evolved from rule-followers to interpreters, prioritizing content that meets user intent at every level. Traditional strategies and content-first approaches will always have their place, but AI overview SEO is where innovation meets scalability.

When you align your SEO strategy with AI-driven tools and processes, you’re not just optimizing content—you’re anticipating how search engines think and adapt. And isn’t that the point? To stay ahead, not just keep up.

How to Rank in Google’s AI Overview Search Engine

Let’s be clear: Google’s AI is a full-scale rewiring of how content is ranked, served, and consumed. If you’re still clinging to outdated strategies and hoping for a miracle, you’re playing checkers while Google is busy mastering 4D chess. The good news is, AI search ranking isn’t impenetrable—it just requires precision, strategy, and a willingness to learn how the game has changed.

Understanding Google’s AI Overview

Google’s AI overview is the central nervous system of modern search engines. It’s not just about keywords or backlinks anymore; it’s about intent, context, and user satisfaction.

AI doesn’t process content the way humans do. Instead, it analyzes patterns, understands semantics, and prioritizes relevance. For example, when users search for “how to rank in Google AI overview search engine,” the system evaluates everything from query intent to content depth. It no longer relies solely on direct keyword matches but on how well your content aligns with what users actually need.

So, to rank in AI-driven search engines, you need to stop optimizing for robots and start optimizing for how robots think about humans.

Ranking Strategies for AI-Driven Search Engines

Here’s the blueprint for staying visible in an increasingly competitive SEO trend landscape.

Content Relevance Is King

AI isn’t impressed by fluff or filler. It evaluates content based on how effectively it answers a query.

Focus on user intent: Tools like Clearscope or Frase help pinpoint what your audience actually wants to know.

Leverage semantic SEO: Use related terms naturally to enrich your content without relying on awkward keyword stuffing.

Technical SEO Still Matters

AI might be smart, but it can’t compensate for poor technical foundations.

Ensure your site is fast, mobile-friendly, and free of technical errors.

Use structured data (schema markup) to help AI understand your content’s purpose.

Adapt to Google’s Algorithms

AI algorithms like RankBrain and BERT focus on understanding context and language nuances.

Write conversationally to align with how BERT interprets natural language.

Avoid vague or generic content. RankBrain prioritizes specifics that add value.

Focus on E-A-T (Expertise, Authoritativeness, Trustworthiness)

Google’s AI overview heavily favors credible sources.

Use authoritative references, including active links to respected publications.

Regularly update content to ensure accuracy and relevance.

How AI Works in Search Ranking

To understand how AI influences rankings, you need to grasp two critical functions: data processing and pattern recognition.

Data Processing

AI sifts through millions of search queries, user behaviors, and content formats to determine what works. For instance, Google’s MUM (Multitask Unified Model) can analyze text, video, and images simultaneously, delivering a richer search experience.

Pattern Recognition

AI identifies trends and adapts accordingly. If your content consistently satisfies user queries (high dwell time and low bounce rates), AI boosts your rankings.

AI isn’t looking for perfect grammar or flashy design—it’s looking for results. If your content satisfies users better than the competition, the algorithm takes note.

The Role of AI in AI Overview Websites

AI is the cornerstone of optimization for AI overview websites. Its primary advantage is scalability. Instead of manually analyzing content, AI tools like SurferSEO or SEMrush automate the process, identifying exactly where you’re falling short and how to fix it.

These tools complement traditional SEO by:

Highlighting gaps in coverage: Are there unanswered questions? AI pinpoints them.

Suggesting better structuring: AI optimizes layout for readability and engagement.

Predicting ranking potential: By analyzing competitors, AI tools give you a roadmap for improvement.

Frequently Asked Questions:

Conclusion

AI overviews aren’t just shaping the future of search engine optimization—they’re bulldozing the old playbook. From content relevance to technical precision, Google’s AI systems reward those who adapt and leave the rest scrambling for scraps.

The key is simple: align with AI, don’t fight it. Prioritize intent-driven content, optimize for technical accuracy, and let AI-powered tools do the heavy lifting. In a world where ai overviews optimization dictates search rankings, success isn’t about keeping up—it’s about staying ahead.

The future of SEO is already here, and AI isn’t waiting for anyone to catch up. The question is, will your strategy rise with it or get buried in the SERPs? The choice is yours.

READ MORE...

What’s Happening to SEO? 8 Trends for 2025

[liveblackinc]

AI and Digital Marketing: A New Era of Engagement

AI in digital marketing — a journey to explore the possibility of artificial intelligence in digital marketing. ChatGPT can do lots of things as you know very well, but have you thought about how AI is capable of being a helping hand to digital marketers? How do we get that human touch while working with an AI?

Now, let’s dig deep into what is AI in marketing and what it brings to the digital sphere.

AI in marketing aims at enhancing the company’s marketing strategy, performance, and effectiveness. AI will help you plan, execute, and optimize your efforts in marketing to save cost and time to achieve the targeted outcomes. Checking on how AI works, we’ll get the answer for it as it uses machine learning, large-language models(LLM), neural networks, etc. to analyze the data.

AI can communicate with the users who visit your website or perform a particular action. This means you can analyze and track your audience’s behavior and personalize the marketing content. There are loads of new AI tools coming every single day rising with more benefits, and more potential to ease our daily tasks.

These new bunch of AI tools promise to help marketers do their jobs in quick and smart ways that simplify work strategies.

Artificial intelligence and digital marketing go hand in hand. AI helps companies to analyze data and automate tasks to improve their marketing plans. The power of AI can be utilized across multiple digital platforms and wide-ranging sectors.

Benefits of AI in marketing

As the world has come a long way, technology has flourished in every aspect. As far as we all know AI has lots of benefits and has become the most essential part of our world. This is the best way for a brand and a marketer to save time in understanding their audience with the help of artificial intelligence.

Increased ROI -

Instead of running unproductive ad campaigns, you can check out analytics and insights with the help of AI to use better marketing strategies. The goal of any marketing campaign is to increase performance and ROI and AI will get you covered. This will save you time and money and allow marketers to work more efficiently and maximize revenue.

Better user experience -

The most advantageous thing we can have when we use AI in digital marketing is that it will improve the brand’s relationship with its customers. AI can help you prepare personalized content and recommendations that can build trust between a company and its customers. By this approach, a brand can turn them into repetitive shoppers.

AI has the potential to re-engage customers by putting them in an automated marketing campaign.

Data-based decisions -

Scale your marketing or ad campaign through AI and dive deeper into the analytics to check what outcomes you have received. Making data-based decisions with the help of AI is crucial to crafting marketing strategies that are worth it. Use data to analyze, understand, predict, and create marketing resources that capture the audience’s attention.

Increase productivity -

Artificial intelligence helps you decrease the work of multiple repetitive tasks. This will save a lot of time and you can focus on crafting new ideas and strategies. AI-driven tools help you cut down manual tasks, enhance decision-making, and streamline workflows that give you a solid chance to work on other necessary tasks.

When you have time to work on crucial tasks, you will end up brainstorming for new ideas, that’s where you find ways to be more creative.

AI has set up its pace in every industry, let’s have a captain cook on how to use AI in marketing.

Explore ways to deploy artificial intelligence in your digital marketing strategies to see how it eliminates tedious tasks. This is the time you can integrate AI tools into your marketing strategy to streamline your work and be free to kick ideas around. Figure out how AI tools integrate with your daily process.

Define your goals

Analyze current tools & find opportunities to take up AI as your working partner

Train your staff to work with AI

Choice the right AI tools to be effective in your organization

Build an atmosphere where everyone can welcome innovation with open arms

After implementing AI tools in your organization, test, analyze, and compare the outcomes

Primarily, AI boosts marketing strategies by utilizing data-driven insights to design more effective marketing campaigns. The role of AI in digital marketing is essential to aim at getting more accurate results.

Data analysis and insights given by AI tools play an integral role in crafting digital marketing strategies. AI is capable enough to analyze data compared with the traditional analysis methods. The advanced algorithms provide you with accurate and meaningful insights. As AI finds patterns, behaviors, interests, trends etc. to get substantial outcomes, you will get to know your audience better.

Free your valuable time through automation as it efficiently reduces the hustle and bustle of performing monotonous tasks. AI-powered automation streamlines operations such as social media scheduling, customer service communication, ad placements and campaign management. Use your free time to focus on designing strategies that generate more revenue.

When implementing AI in your digital marketing, you’ll gather a huge amount of data from various sources, for example, the audience’s past purchase/search history, demographics, patterns, and browsing behavior, across various digital channels. Personalized customer experience can build trustable relationships with customers. Understanding users’ requirements, AI will recommend products or services according to customers’ interests, and send them personalized emails and messages to grab their attention.

AI has evolved so much in recent years. The use of AI in digital marketing comes with advantages that drive growth and customer engagement, deliver meaningful data insights, create detailed customer profiles, improve performance, etc. Marketers can measure performance using AI tools to enhance future work. However, we have to understand the limitations of AI. As we know, every technology gets better with time but has its limitations that need to be understood.

Advertising and artificial intelligence are closely related in this era. AI is used in everything we do in our daily lives to be more creative and stress-free to complete burdensome tasks.

As AI reshapes the world for the better, leverage AI tools to encourage advancements. When you have a broad understanding of artificial intelligence in digital marketing it helps you plan strategies that can be the reason to engage your audience. Prepare marketing strategies that will resonate with a worldwide audience.

[digitalsolution123]

AI Blog Writer

AI Blog Writer is a powerful tool designed to create high-quality, engaging blog content with ease. It uses advanced algorithms to generate relevant, unique articles in minutes, saving you time and effort. Whether you're a business, marketer, or blogger, AI Blog Writer delivers SEO-friendly content, helping you boost traffic and connect with your audience.

[kountadjo]

Pictory AI review 2024,  best AI video generators

Pictory.ai: Create professional videos in a flash with artificial intelligence. Transform your text, blog articles, and scripts into captivating videos with automatic captions, engaging visuals, and advanced customization. Online video editing tool, AI video generator, text to video, automatic captioning, video content creation, video marketing, video marketing platform, easy-to-use video editing software, social media video marketing. Ideal for marketers, influencers, content creators, and anyone looking to increase their online visibility. Free trial available.

Fast Video Editing: Speed Up Your Video Workflow with AI, best AI video ...

[strategichannah]

AI: How to Create Content That Feels Like You

Ready to level up your business? My latest blog shares actionable strategies and expert tips to help you thrive. From SEO secrets to marketing tactics, discover how to turn your goals into reality. Dive in now! #BusinessGrowth #SEOtips #MarketingStrategy

Written by: that Hannah Jones Time To Read: 6 minutes Creating content that feels authentic and sounds like you can be a daunting task. This is especially true when you’re juggling multiple responsibilities as a business owner. Many worry that AI-generated content might come across as robotic or impersonal. However, with the right approach, AI can help you create content that feels like you.…

[txttletale]

I’ve changed most of my views on AI bc of your posts, but do you have any thoughts on/remedies for people losing their jobs to AI? Or is it a “people are gonna lose their jobs one way or another, it’s not actually AI’s fault” kind of deal…? Sorry if you’ve already talked about this before

there's somethign that riley quinn from the trashfuture podcast keeps saying -- "if your job can be replaced by AI, it was already being done by AI". which is to say, that jobs most at risk from AI replacement are ones that were borderline automated anyway. like, i say this as someone who used to write, not for the website buzzfeed itself, but buzzfeed-adjacent Slop Content for money -- i was already just the middlewoman between the SEO optimization algorithm and the google search algorithm. those jobs vanishing primarily means that middlewoman role has been cut, computers can tell other computers to write for computers.

& similarly this is why i keep saying that, e.g. stock photographers are at risk from this, because the ideal use case for generative AI content is stuff where the actual content or quality of the image/text doesn't matter, all that matters is its presence. and yknow, living in a world where many people's livelihoods were dependent on writing and art that is fully replacable by inane computer drivel is itself indicative of something about culture under capitalism, right?

& to some degree, like i'm always saying, the immiseration of workers by advancement in technology is a universal feature of capitalism -- i recommend you read wage labour & capital to see how this phenomenon has persisted for well over a century. it's simply nothing new -- like, the stock photographers who are most at risk from this already are already employed in an industry that itself decimated in-house illustration; think about how any dime-a-dozen reomance novel you can pick up at a store nowadays has a hastily photoshopped stock photo cover when fifty years ago it would have had a bespoke cover illustration that an artist got paid for.

of course, none of that historical overview is like, comforting to people who are currently worried about their lives getting worse, and i get that -- for those people, workplace organization and industrial action is the only realistic and productive avenue to mobilize those fears. the WGA and SAG-AFTRA strikes produced far more material concessions on gen-AI-based immseration for workers facing precarity than any amount of furious social media ludditism has

[marketingtools-blog]

Surfer SEO vs SEMrush: Unveiling the Ultimate SEO Tool

Are you ready to take your SEO game to the next level? In the competitive landscape of digital marketing, the choice between Surfer SEO and SEMrush can make all the difference. As search engine optimization continues to be a cornerstone of online success, it’s crucial to understand which tool to turn to for the best results. Let’s delve into the realm of Surfer SEO and SEMrush to demystify their…

[imsobadatnicknames2]

How can you consider yourself any sort of leftist when you defend AI art bullshit? You literally simp for AI techbros and have the gall to pretend you're against big corporations?? Get fucked

I don't "defend" AI art. I think a particular old post of mine that a lot of people tend to read in bad faith must be making the rounds again lmao.

Took me a good while to reply to this because you know what? I decided to make something positive out of this and use this as an opportunity to outline what I ACTUALLY believe about AI art. If anyone seeing this decides to read it in good or bad faith... Welp, your choice I guess.

I have several criticisms of the way the proliferation of AI art generators and LLMs is making a lot of things worse. Some of these are things I have voiced in the past, some of these are things I haven't until now:

Most image and text AI generators are fine-tuned to produce nothing but the most agreeable, generically pretty content slop, pretty much immediately squandering their potential to be used as genuinely interesting artistic tools with anything to offer in terms of a unique aesthetic experience (AI video still manages to look bizarre and interesting but it's getting there too)

In the entertainment industry and a lot of other fields, AI image generation is getting incorporated into production pipelines in ways that lead to the immiseration of working artists, being used to justify either lower wages or straight-up layoffs, and this is something that needs to be fought against. That's why I unconditionally supported the SAG-AFTRA strikes last year and will unconditionally support any collective action to address AI art as a concrete labor issue

In most fields where it's being integrated, AI art is vastly inferior to human artists in any use case where you need anything other than to make a superficially pretty picture really fast. If you need to do anything like ask for revisions or minor corrections, give very specific descriptions of how objects and people are interacting with each other, or just like. generate several pictures of the same thing and have them stay consistent with each other, you NEED human artists and it's preposterous to think they can be replaced by AI.

There is a lot of art on the internet that consists of the most generically pretty, cookie-cutter anime waifu-adjacent slop that has zero artistic or emotional value to either the people seeing it or the person churning it out, and while this certainly was A Thing before the advent of AI art generators, generative AI has made it extremely easy to become the kind of person who churns it out and floods online art spaces with it.

Similarly, LLMs make it extremely easy to generate massive volumes of texts, pages, articles, listicles and what have you that are generic vapid SEO-friendly pap at best and bizzarre nonsense misinformation at worst, drowning useful information in a sea of vapid noise and rendering internet searches increasingly useless.

The way LLMs are being incorporated into customer service and similar services not only, again, encourages further immiseration of customer service workers, but it's also completely useless for most customers.

A very annoyingly vocal part the population of AI art enthusiasts, fanatics and promoters do tend to talk about it in a way that directly or indirectly demeans the merit and skill of human artists and implies that they think of anyone who sees anything worthwile in the process of creation itself rather than the end product as stupid or deluded.

So you can probably tell by now that I don't hold AI art or writing in very high regard. However (and here's the part that'll get me called an AI techbro, or get people telling me that I'm just jealous of REAL artists because I lack the drive to create art of my own, or whatever else) I do have some criticisms of the way people have been responding to it, and have voiced such criticisms in the past.

I think a lot of the opposition to AI art has critstallized around unexamined gut reactions, whipping up a moral panic, and pressure to outwardly display an acceptable level of disdain for it. And in particular I think this climate has made a lot of people very prone to either uncritically entertain and adopt regressive ideas about Intellectual Propety, OR reveal previously held regressive ideas about Intellectual Property that are now suddenly more socially acceptable to express:

(I wanna preface this section by stating that I'm a staunch intellectual property abolitionist for the same reason I'm a private property abolitionist. If you think the existence of intellectual property is a good thing, a lot of my ideas about a lot of stuff are gonna be unpalatable to you. Not much I can do about it.)

A lot of people are suddenly throwing their support behind any proposal that promises stricter copyright regulations to combat AI art, when a lot of these also have the potential to severely udnermine fair use laws and fuck over a lot of independent artist for the benefit of big companies.

It was very worrying to see a lot of fanfic authors in particular clap for the George R R Martin OpenAI lawsuit because well... a lot of them don't realize that fanfic is a hobby that's in a position that's VERY legally precarious at best, that legally speaking using someone else's characters in your fanfic is as much of a violation of copyright law as straight up stealing entire passages, and that any regulation that can be used against the latter can be extended against the former.

Similarly, a lot of artists were cheering for the lawsuit against AI art models trained to mimic the style of specific artists. Which I agree is an extremely scummy thing to do (just like a human artist making a living from ripping off someone else's work is also extremely scummy), but I don't think every scummy act necessarily needs to be punishable by law, and some of them would in fact leave people worse off if they were. All this to say: If you are an artist, and ESPECIALLY a fan artist, trust me. You DON'T wanna live in a world where there's precedent for people's artstyles to be considered intellectual property in any legally enforceable way. I know you wanna hurt AI art people but this is one avenue that's not worth it.

Especially worrying to me as an indie musician has been to see people mention the strict copyright laws of the music industry as a positive thing that they wanna emulate. "this would never happen in the music industry because they value their artists copyright" idk maybe this is a the grass is greener type of situation but I'm telling you, you DON'T wanna live in a world where copyright law in the visual arts world works the way it does in the music industry. It's not worth it.

I've seen at least one person compare AI art model training to music sampling and say "there's a reason why they cracked down on sampling" as if the death of sampling due to stricter copyright laws was a good thing and not literally one of the worst things to happen in the history of music which nearly destroyed several primarily black music genres. Of course this is anecdotal because it's just One Guy I Saw Once, but you can see what I mean about how uncritical support for copyright law as a tool against AI can lead people to adopt increasingly regressive ideas about copyright.

Similarly, I've seen at least one person go "you know what? Collages should be considered art theft too, fuck you" over an argument where someone else compared AI art to collages. Again, same point as above.

Similarly, I take issue with the way a lot of people seem EXTREMELY personally invested in proving AI art is Not Real Art. I not only find this discussion unproductive, but also similarly dangerously prone to validating very reactionary ideas about The Nature Of Art that shouldn't really be entertained. Also it's a discussion rife with intellectual dishonesty and unevenly applied definition and standards.

When a lot of people present the argument of AI art not being art because the definition of art is this and that, they try to pretend that this is the definition of art the've always operated under and believed in, even when a lot of the time it's blatantly obvious that they're constructing their definition on the spot and deliberately trying to do so in such a way that it doesn't include AI art.

They never succeed at it, btw. I've seen several dozen different "AI art isn't art because art is [definition]". I've seen exactly zero of those where trying to seriously apply that definition in any context outside of trying to prove AI art isn't art doesn't end up in it accidentally excluding one or more non-AI artforms, usually reflecting the author's blindspots with regard to the different forms of artistic expression.

(However, this is moot because, again, these are rarely definitions that these people actually believe in or adhere to outside of trying to win "Is AI art real art?" discussions.)

Especially worrying when the definition they construct is built around stuff like Effort or Skill or Dedication or The Divine Human Spirit. You would not be happy about the kinds of art that have traditionally been excluded from Real Art using similar definitions.

Seriously when everyone was celebrating that the Catholic Church came out to say AI art isn't real art and sharing it as if it was validating and not Extremely Worrying that the arguments they'd been using against AI art sounded nearly identical to things TradCaths believe I was like. Well alright :T You can make all the "I never thought I'd die fighting side by side with a catholic" legolas and gimli memes you want, but it won't change the fact that the argument being made by the catholic church was a profoundly conservative one and nearly identical to arguments used to dismiss the artistic merit of certain forms of "degenerate" art and everyone was just uncritically sharing it, completely unconcerned with what kind of worldview they were lending validity to by sharing it.

Remember when the discourse about the Gay Sex cats pic was going on? One of the things I remember the most from that time was when someone went "Tell me a definition of art that excludes this picture without also excluding Fountain by Duchamp" and how just. Literally no one was able to do it. A LOT of people tried to argue some variation of "Well, Fountain is art and this image isn't because what turns fountain into art is Intent. Duchamp's choice to show a urinal at an art gallery as if it was art confers it an element of artistic intent that this image lacks" when like. Didn't by that same logic OP's choice to post the image on tumblr as if it was art also confer it artistic intent in the same way? Didn't that argument actually kinda end up accidentally validating the artistic status of every piece of AI art ever posted on social media? That moment it clicked for me that a lot of these definitions require applying certain concepts extremely selectively in order to make sense for the people using them.

A lot of people also try to argue it isn't Real Art based on the fact that most AI art is vapid but like. If being vapid definitionally excludes something from being art you're going to have to exclude a whooole lot of stuff along with it. AI art is vapid. A lot of art is too, I don't think this argument works either.

Like, look, I'm not really invested in trying to argue in favor of The Artistic Merits of AI art but I also find it extremely hard to ignore how trying to categorically define AI art as Not Real Art not only is unproductive but also requires either a) applying certain parts of your definition of art extremely selectively, b) constructing a definition of art so convoluted and full of weird caveats as to be functionally useless, or c) validating extremely reactionary conservative ideas about what Real Art is.

Some stray thoughts that don't fit any of the above sections.

I've occassionally seen people respond to AI art being used for shitposts like "A lot of people have affordable commissions, you could have paid someone like $30 to draw this for you instead of using the plagiarism algorithm and exploiting the work of real artists" and sorry but if you consider paying an artist a rate that amounts to like $5 for several hours of work a LESS exploitative alternative I think you've got something fucked up going on with your priorities.

Also it's kinda funny when people comment on the aforementioned shitposts with some variation of "see, the usage of AI art robs it of all humor because the thing that makes shitposts funny is when you consider the fact that someone would spend so much time and effort in something so stupid" because like. Yeah that is part of the humor SOMETIMES but also people share and laugh at low effort shitposts all the time. Again you're constructing a definition that you don't actually believe in anywhere outside of this type of conversations. Just say you don't like that it's AI art because you think it's morally wrong and stop being disingenuous.

So yeah, this is pretty much everything I believe about the topic.

I don't "defend" AI art, but my opposition to it is firmly rooted in my principles, and that means I refuse to uncritically accept any anti-AI art argument that goes against those same principles.

If you think not accepting and parroting every Anti-AI art argument I encounter because some of them are ideologically rooted in things I disagree with makes me indistinguishable from "AI techbros" you're working under a fucked up dichotomy.

[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

[fixyourwritinghabits]

How to Tell If That Post of Advice Is AI Bullshit

Right, I wasn't going to write more on this, but every time I block an obvious AI-driven blog, five more clutter up the tags. So this is my current (April 2024) advice on how to spot AI posts passing themselves off as useful writing advice.

No Personality - Look up a long-running writing blog, you'll notice most people try to make their posts engaging and coming from a personal perspective. We do this because we're writers and, well, we want to convey a sense of ourselves to our readers. A lot of AI posts are straight-forward - no sense of an actual person writing them, no variation in tone or text.

No Examples - No attempts to show how pieces of advice would work in a story, or cite a work where you could see it in action. An AI post might tell you to describe a person by highlighting two or three features, and that's great, but it's hard to figure out how that works without an example.

Short, Unhelpful Definitions - A lot of what I've seen amount to two or three-sentence listicles. 'When you want to write foreshadowing, include a hint of what you want foreshadowed in an earlier chapter.' Cool beans, could've figured that out myself.

SEO/AI Prompt Language Included - I've seen way too many posts start with "this post is about..." or "now we will discuss..." or "in this post we will..." in every single blog. This language is meant to catch a search engine or is ChatGPT reframing the prompt question. It's not a natural way of writing a post for the average tumblr user.

Oddly Clinical Language - Right, I'm calling out that post that tried to give advice on writing gay characters that called us "homosexuals" the entire time. That's a generative machine trying to stay within certain parameters, not an actual person who knows that's not a word you'd use unless you were trying to be insulting or dunking on your own gay ass in the funniest way possible.

Too Perfect - Most generative AI does not make mistakes (this is how many a student gets caught trying to use it to cheat). You can find ways to make it sound more natural and have it make mistakes, but that takes time and effort, and neither of those are really a factor in these posts. They also tend to have really polished graphics and use the same format every time.

Maximized Tags (That Are Pointless) - Anyone who uses more than 10 one-word tags is a cop. Okay, fine, I'm joking, but there's a minimal amount of tags that are actually useful when promoting a post. More tags are not going to get a post noticed by the algorithm, there is no algorithm. Not everyone has to use their tags to make snarky comments, but if your tags look like a spambot, I'm gonna assume you're a spambot.

No Reblogs From The Rest of Writblr - I'm always finding new Writblr folks who have been around for awhile, but every real person I've seen reblogs posts from other people. We've all got other stuff to do, I'm writing this blog to help others and so are they, the whole point of tumblr is to pass along something you think is great.

While you'll probably see some variation in the future - as people get wise to obviously generated text, they'll try to make it look less generated - but overall, there's still going to be tells to when something is fake.

I don't have any real advice for what to do about this (other than block those blogs, which is what I do). Like most AI bullshit, I suspect most of these blogs are just another grift, attempting to build large follower counts to leverage or sell something to in the future. They may progress past these tattletale features, but I'm still going to block them when I see them. I don't see any value in writing advice compiled from the work of better writers who put the effort in when I can just go find those writers myself.

[probablyasocialecologist]

The premature unleashing of AI and large language models (LLMs) in particular onto the open Internet is already having dire consequences for what were, for years, considered stabilized, centralized (if flawed) systems, such as the search engine. AI, thanks to the scope of its spread, its rogue unreliability (it lies — often), the way it poisons search results, hijacks SEO, and is increasingly being used for disinformation and fraud, is reintroducing a fundamental and destabilizing distrust back into the Internet. Once more, I can no longer trust the results Google provides me. On a daily basis I have to ask myself increasingly familiar questions: Is this first result a legitimate news source? Is this image of a protest real? Is that picture of a Kandinsky painting really his or is an AI forgery of his work? Across the board, it’s becoming increasingly hard to tell. For me and countless others, what used to be rote Internet usage has now turned into a nightmarish amount of wasted time spent discerning what is and isn’t real. As far as I, the ordinary user, am concerned, AI is evolving not into a life-changing and labor-saving technology as was promised by its capitalist overlords, but rather into a form of malware that targets, whether unwittingly or not, critical Internet infrastructure.

1 October 2024