#ai powered learning

[jstevh]

Inspired with AI

Have been intrigued by ability of AI models to help in details of process for inspiration. So asked Llama 3.1 at Instagram for guidance for fashion folks. The AI made an entire cool thing will modify just a bit:

"Discover the power of AI-powered inspiration boards for fashion designers!

Collaborate with AI models to create stunning mood boards that bring your vision to life. Explore colors, textures, and styles, and get inspired by fresh ideas and combinations.

Take your fashion design to the next level with AI-driven creativity!"

[dutchs-blog]

American Dad Ai Genarated

[hammill-goes-fogwalking]

I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI. I HATE AI.

[assmaster-8000]

i cant find much oc content in touchstarved because im lowkey blind but people with touchstarved ocs!!! please info dump to me in comments or dms i /gen want to hear what yall have come up with!!!!! what are their back stories? how different is it from the route you chose for them? what are they like? what do they look like? miscellaneous facts?

[bmpmp3]

i am a synthv user primarily because 1) i was always kind of a moresampler main on utau already :3c and 2) i am easily swayed by affordable pricing and extremely user friendly interfaces BUT the one problem with synthv studios focus on realism is how instead of just distorting vocals that are too high or low out of range, instead they just get breathier and REALLY quiet, you can get around it okay with parameter shenanigans but thats one think i really prefer about voisona and utau or sv editor - this is purely a preference thing, but I do love putting a synth far below its range and have it still functional (albeit robotic) LIKE go into c2. i know you sound like a broken jackhammer. go into c2.

[aeolianblues]

I'm not an extrovert. At all. In everyday life, I'm a yapper, sure, but I need someone to first assure me I am okay to yap, so I don't start conversations, even when I really want to join in sometimes! It's just the social anxiety acting up. God knows where from and why I lose a lot of my inhibitions when it comes to talking to people about music. I don't know where the confidence has suddenly sprung from. I've made a crazy amount of friends in musical circles, either just talking to people about common music or (since it is after all in music circles) talking to bands about their own music. I let out a sigh of relief any time an interaction goes well, because in truth it's going against my every instinct. I wish I could do that in everyday life

[delaneytalks-tostatues]

"Gender is stupid and I have no interest in being heterosexual" SAPH ONE CHANCE PLEASE OUR GENDERS ARE THE SAME IT WOULD BE SO HOMO

[raiasintended]

Scraper Bots, Fuck Off! How to "Opt Out" of Your Artistic "Data" Being Used in "Research"

How can artists protect their work from being used by art-generating "AI" bots? How can we take a stand against this continuing, as more and more programmers build their own forks and train derivative models?

Here are a few steps artists can take to keep their work from being used to train new art generators (and one step non-artists can do to help). For the reasoning and explanation behind these steps, click the Read More.

The Method:

Remove images that do not have watermarks. Take down every one of your images that can be accessed publicly and does not have a watermark. (In fact, if you have the resources, take down every image, even those with watermarks, and reupload them with new names or URLs).

Add watermarks to your images and re-upload them. Put a watermark on every image you intend to share publicly. It doesn't have to be huge and obvious, but for best results, it should have text, and if you really want to be a pain in some engineer's neck, it should be colorful. I explain why below the cut. @thatdogmagic has shared an absolutely brilliant watermark method here (https://www.tumblr.com/thatdogmagic/702300132999397376/that-your-audience-wont-hate-this-is-a-method).

Watermark everything. From now on, any image you share publicly should have a watermark.

One host domain only. Strive for keeping your image files on only one domain—for example, tumblr.com, or your personal domain. Again, I explain below the cut.

ADVANCED: Configure your domain's robots.txt. If you have administrative access to your host domain, update your robots.txt file to contain the following: User-agent: CCBot Disallow: /

ADVANCED: Configure your meta-tags. If you have administrative access to your web pages, update your meta-tags to include the following: <meta name="robots" content="nofollow">

ADVANCED: Configure your .htaccess. If you have administrative access to your host domain, update your .htaccess file to prevent hotlinking to images. There are a few ways to achieve this, and a simple tutorial can be found here (https://www.pair.com/support/kb/block-hotlinking-with-htaccess/).

Bullying Campaigning. If you do not have administrative access to your host domain (for example, if you host on tumblr, or deviantart), ask your administrator to block CCBot in the domain's robot.txt, disable hotlinking, or take similar actions to prevent image scraping.

Aggressively pursue takedowns on image sharing sites. The best known sources of this issue are Pinterest and WeHeartIt, but especially focus on Pinterest. The image takedown form for Pinterest can be found here (https://www.pinterest.com/about/copyright/dmca-pin/), and the image takedown form for WeHeartIt can be found here (https://weheartit.com/contact/copyright).

Non-artists: do not reupload images, do not share reuploaded images (no, not even to add the source in comments), do not truck with re-uploaders. If you see an image without a watermark on image share sites like Pinterest, and it doesn't look like the artist themselves pinned it, give them a heads up so they can file a takedown.

The Reasoning:

Why watermarks? Why meta-tags? What good will any of this do?

Below the cut, I explain how these art-generation bots are "trained," and how we can use that information to prevent new bots from training on stolen art.

Those Who Can't, Program

Deep learning models capable of generating images from natural language prompts are growing in both capability and popularity. In plain English: there are bots out there that can generate art based on written (and sometimes visual) prompts. DALL-E, Stable Diffusion, and Midjourney are examples of art-generating "AI" already in use.

These models are trained using large-scale datasets—and I mean, large. Billions of entries large. Because teaching a learning machine requires a lot of examples.

Engineers don't make this data on their own: they acquire datasets from other organizations. Right now, there is no better dataset out there than the Internet, so that's what most engineers use to train their models.

Common Crawl (https://commoncrawl.org) is where most of them go to grab this data in a form that can be presented to a learning model. Common Crawl has been crawling the publicly-accessible web once a month since 2011, and provides archives of this data for free to anyone who requests it. Crucially, these are "text" archives—they do not contain images, but do contain urls of images and descriptions of images, including alt text.

The Common Crawl dataset is, in some form, the primary source used to train learning models, including our art generators.

Nobody Likes Watermarks

Watermarks are one of the easiest and most effective ways to remove your art from the training set.

If the model is trained using the LAION-5B dataset (https://laion.ai/blog/laion-5b/), for example, there's a good chance your art will be removed from the set to begin with if it has a watermark. LAION-5B is a filtered, image-focused version of the Common Crawl data, with NSFW and watermarked images filtered out.

Using this example provided by the LAION team, we can determine what kind of watermark will ensure your art is filtered from the dataset: partially transparent text placed over the image. Bots trained with data filtered similarly to LAION-5B will not be trained using your images if you use such a watermark.

As a bonus, if you include a watermark in your image and it somehow still makes it into a training set, the additional visual data will skew the training. It will assume any images it generates that are “inspired” by yours should include similar shapes and colors. The bot doesn’t actually understand what a watermark is and assumes it’s a natural element of the image.

404 Art Not Found

The reason we want to remove and re-upload images with new URLs is simple. The datasets these models study do not have actual images, they have the URLs pointing to images. If your image is no longer at that URL, the model can’t load your image, and any models trained with out-of-date datasets will not be able to locate your images.

However, this is only a temporary fix if you can’t prevent Common Crawler from recording the image’s new location in its monthly archiving of the internet.

Unusually Polite Thieves

The slightly more advanced tricks we can use to keep crawlers from recording the URLs of your images rely on the etiquette of crawler bots.

Firstly, keeping all your images in one domain has a chance to reduce the number of times models training from filtered datasets will reference your images in training. Crawling or scraping that results in significant negative impact on a domain’s bandwidth is bad. Like, legal action bad. The people behind the learning model generally want to avoid pissing off domain admins. So, there is a narrow chance that simply having all your images hosted on the same domain will prevent a model from trying to access all of them. It’s a bit of a stretch, though.

Something that is much more likely to see results is to plant the equivalent of “KEEP OUT” signs in your domain. Common Crawler, for all its presumption, follows bot etiquette and will obey any instructions left for it in robots.txt. Common Crawler’s bot is named CCBot. Create a robots.txt file and place it in the top-level folder of your domain. Make sure robots.txt includes User-agent: CCBot Disallow: / and CCBot will not archive your pages.

Using meta-tags in the headers of HTML pages on your domain will also help. Adding <meta name="robots" content="nofollow"> will tell any crawler robots not to follow any of the links from this page to other pages or files. If CCBot lands on your page, it won’t then discover all the other pages that page leads to.

The more advanced tactic is to disable hotlinking for your domain. When someone accesses an image hosted on your domain from somewhere other than your domain, this is called hotlinking. It’s not just a bandwidth sink, it’s also the exact process by which models are accessing your images for training.

This can be tricky: it involves creating and configuring a hidden file on your domain. The tutorial linked above in the step-by-step gives a simple look at what you can do by editing your .htaccess file, but searching “htaccess hotlink” will provide a bunch of other resources too.

Fucking Pinterest

Let’s cut to the chase: a majority of images in these training sets were scraped from Pinterest. Not DeviantArt! Not ArtStation! Literally 8%, of the billions of images collected, were from Pinterest. Image sharing social sites are the worst.

There’s no easy way to prevent people from resharing your images there, but between your new watermarks and the Pinterest takedown form, you can potentially keep ahead of it. 🫡

Now for the Downside

This won’t work on the models that already exist.

Unfortunately, we can’t untrain DALL-E or Midjourney. We can’t do anything about the data they’ve already studied. It stinks that this happened without common knowledge or forewarning, but all we can do is figure out how to move forward.

The good news is that while the current models are powerful and impressive, they still have some significant flaws. They’ll need more training if they want to live out the bizarre pie-in-the-sky, super fucking unethical dreams some of these weirdos have about “democratizing” art (which seems to mean eliminating trained artists altogether).

If we educate ourselves on how these models are trained and how the training sets are compiled, if we continue to make noise about artists’ rights to their own data, we can make sure this art-generator trend doesn’t somehow mutate into a thing that will genuinely replace living, biological artists.

[steakout-05]

so i kinda learned how to draw Captain Picard for my dad's birthday card and i am quite proud of it :D

[ismailfazil1-blog]

The Human Brain vs. Supercomputers: The Ultimate Comparison

Are Supercomputers Smarter Than the Human Brain?

This article delves into the intricacies of this comparison, examining the capabilities, strengths, and limitations of both the human brain and supercomputers.

[michaelespositostatenisland]

Michael Esposito Staten Island: Innovative AI Solutions for Influencer Marketing in the Digital Age

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a powerful strategy for brands to connect with their target audience and drive engagement. With the rise of social media platforms, influencers have become key players in shaping consumer preferences and purchasing decisions. Michael Esposito Staten Island — Influence in the Digital Age exemplifies this trend, highlighting how digital influencers can significantly impact marketing strategies and outcomes. However, as the digital space becomes increasingly saturated with content, brands are turning to innovative AI solutions to enhance their influencer marketing efforts and stay ahead of the curve.

AI-Powered Influencer Discovery

One of the biggest challenges brands face in influencer marketing is finding the right influencers to collaborate with. Traditional methods of influencer discovery often involve manual research and outreach, which can be time-consuming and inefficient. However, AI-powered influencer discovery platforms leverage advanced algorithms to analyze vast amounts of data and identify influencers who are the best fit for a brand's target audience and campaign objectives. Michael Esposito Staten Island: An Influencer Marketer Extraordinaire, exemplifies how effective influencer collaboration can transform marketing strategies. By harnessing the power of AI, brands can streamline the influencer discovery process and identify high-potential collaborators with greater accuracy and efficiency.

Predictive Analytics for Campaign Optimization

Once influencers have been identified and partnerships established, brands can leverage AI-powered predictive analytics to optimize their influencer marketing campaigns. Predictive analytics algorithms analyze historical campaign data, audience demographics, and engagement metrics to forecast the performance of future campaigns. By leveraging these insights, brands can make data-driven decisions about content strategy, audience targeting, and campaign optimization, maximizing the impact of their influencer collaborations and driving measurable results.

AI-Driven Content Creation

Content creation is a critical component of influencer marketing campaigns, and AI is revolutionizing the way brands create and optimize content for maximum impact. AI-powered content creation tools can generate personalized, high-quality content at scale, helping brands maintain a consistent brand voice and aesthetic across their influencer collaborations. From automated image and video editing to natural language processing for caption generation, AI-driven content creation tools empower brands to create compelling, on-brand content that resonates with their target audience and drives engagement.

Sentiment Analysis for Brand Monitoring

Influencer marketing campaigns can have a significant impact on brand perception, and it's essential for brands to monitor and manage their online reputation effectively. AI-powered sentiment analysis tools analyze social media conversations and user-generated content to gauge public sentiment towards a brand or campaign. By tracking mentions, sentiment trends, and key themes, brands can quickly identify and address any potential issues or negative feedback, allowing them to proactively manage their brand reputation and maintain a positive online presence.

Automated Performance Reporting

Measuring the success of influencer marketing campaigns is crucial for determining ROI and informing future strategies. However, manual performance reporting can be time-consuming and prone to human error. AI-powered analytics platforms automate the process of performance reporting by aggregating data from multiple sources, analyzing key metrics, and generating comprehensive reports in real-time. By providing brands with actionable insights into campaign performance, audience engagement, and ROI, AI-driven analytics platforms enable brands to optimize their influencer marketing efforts and drive continuous improvement.

In conclusion, as influencer marketing continues to evolve in the digital age, brands must leverage innovative AI solutions to stay competitive and maximize the impact of their campaigns. From AI-powered influencer discovery and predictive analytics to automated content creation and sentiment analysis, AI is revolutionizing every aspect of influencer marketing, enabling brands to connect with their target audience more effectively and drive measurable results. By embracing these innovative AI solutions, brands can unlock the full potential of influencer marketing and achieve success in the digital era.

[lonelyslutavatar]

Listen i love your art very much but with all that has been happening with AI and artists...we writers honestly feel like we might be next, people are already making ais that write stories for them. I understand that this is just for fun for you but thats how ai art started too and now you hear about people devaluing artists n their skill n hard work because suddenly they can make 'art' with a press of their finger so why should they pay for the 'same thing'. Creator to creator, please dont contribute to this mess

oh yeah, no, i totally understand. I'm never gonna publish the model itself nor will i ever do anything to contribute to that mess but I'm a curious person and will still do it to satiate that curiousity but that model is never gonna leave my pc

[dutchs-blog]

Tinkerbell AI Genarated

[echoesofdusk]

I think the absolutely most baffling thing to me that I've noticed in the AI generated image discourse is that people seem to think that artists don't make any compromises or sacrifices ever and live perfect, comfortable lives where things just happen to align perfectly for them to have the time to create art that perfectly aligns with their vision

"I don't have the time to draw" do you really know if artists simply have the time to draw or on the contrary, have to sacrifice something to gain that time to draw? can you be so sure that they don't have to deal with hardships to gain the time to draw? or, they have the time to draw because they can't do something else in their lives due to their circumstances, and drawing is the only thing that will fill this time?

"I can't create stuff that meets my vision" how can you be so sure that the stuff artists create meets their vision? do you really think this art was their vision from the absolute beginning? or did they actually have to make compromises to reach this specific look, which maybe wasn't what they aimed for to begin with? can you even be sure if the medium they spend the most time on is the medium they intended to pick up from the beginning, or is it a medium they've had to pick up to compromise for not picking up another art form they wanted to stick to in the first place due to myriads of reasons?

you folks seem to make a lot of assumptions about people you don't personally know

[dashiellqvverty]

i really don’t love takes that are like “how can you be anti copyright but also against ai” because it’s like. well first of all i don’t think ai itself, or specifically generative ai (because “ai” alone is imo a pretty meaningless term that refers to so many things at this point), is like. inherently evil. it’s a tool and in fact it is a tool that you can do some pretty cool or even useful things with! and like my issue honestly is not even really with people using ai to generate art, but rather with the gen ai software itself because that’s the actual product.

i often think of a post i saw comparing generative ai that pulls from various artists to like. heavily referencing or emulating specific artists in art. and i don’t think that’s necessarily a bad comparison when it comes to the people entering the prompts and generating the images. HOWEVER i just feel like. if someone downloaded a bunch of pictures from the internet and compiled them into a book or a document and then SOLD it as a book of art references without any credit much less compensation to the artists behind those pictures, whether you consider that theft or not i think it definitely constitutes a Dick Move.

there was another post that was like “oh everyone made fun of nft bros about right clicking their bored ape pics but those same people see it as theft when those images on the internet that anyone can see are used for generative ai” or whatever and it’s like. idk, for ME my line is that when SOMEONE is making money (in this case tech ceos) off of a piece of art, but not the person who made it, that is a problem. and maybe this is just a Strong Autism Conviction thing for me bc i’ve felt this way for a long time but like downloading something for free is one thing but downloading something for free AND THEN SELLING it is another. in my opinion

BUT ALSO there is a difference between what i personally think is right/wrong and what i think should be the law. and personally i think that any legislation about ai meant to target stuff like this is almost certain to do a lot more harm than good. like we don’t need copyright laws getting any stronger 😐

[digitaldeeptech]

Must-Have Programmatic SEO Tools for Superior Rankings

Understanding Programmatic SEO

What is programmatic SEO?

Programmatic SEO uses automated tools and scripts to scale SEO efforts. In contrast to traditional SEO, where huge manual efforts were taken, programmatic SEO extracts data and uses automation for content development, on-page SEO element optimization, and large-scale link building. This is especially effective on large websites with thousands of pages, like e-commerce platforms, travel sites, and news portals.

The Power of SEO Automation

The automation within SEO tends to consume less time, with large content levels needing optimization. Using programmatic tools, therefore, makes it easier to analyze vast volumes of data, identify opportunities, and even make changes within the least period of time available. This thus keeps you ahead in the competitive SEO game and helps drive more organic traffic to your site.

Top Programmatic SEO Tools

1. Screaming Frog SEO Spider

The Screaming Frog is a multipurpose tool that crawls websites to identify SEO issues. Amongst the things it does are everything, from broken links to duplication of content and missing metadata to other on-page SEO problems within your website. Screaming Frog shortens a procedure from thousands of hours of manual work to hours of automated work.

Example: It helped an e-commerce giant fix over 10,000 broken links and increase their organic traffic by as much as 20%.

2. Ahrefs

Ahrefs is an all-in-one SEO tool that helps you understand your website performance, backlinks, and keyword research. The site audit shows technical SEO issues, whereas its keyword research and content explorer tools help one locate new content opportunities.

Example: A travel blog that used Ahrefs for sniffing out high-potential keywords and updating its existing content for those keywords grew search visibility by 30%.

3. SEMrush

SEMrush is the next well-known, full-featured SEO tool with a lot of features related to keyword research, site audit, backlink analysis, and competitor analysis. Its position tracking and content optimization tools are very helpful in programmatic SEO.

Example: A news portal leveraged SEMrush to analyze competitor strategies, thus improving their content and hoisting themselves to the first page of rankings significantly.

4. Google Data Studio

Google Data Studio allows users to build interactive dashboards from a professional and visualized perspective regarding SEO data. It is possible to integrate data from different sources like Google Analytics, Google Search Console, and third-party tools while tracking SEO performance in real-time.

Example: Google Data Studio helped a retailer stay up-to-date on all of their SEO KPIs to drive data-driven decisions that led to a 25% organic traffic improvement.

5. Python

Python, in general, is a very powerful programming language with the ability to program almost all SEO work. You can write a script in Python to scrape data, analyze huge datasets, automate content optimization, and much more.

Example: A marketing agency used Python for thousands of product meta-description automations. This saved the manual time of resources and improved search rank.

The How for Programmatic SEO

Step 1: In-Depth Site Analysis

Before diving into programmatic SEO, one has to conduct a full site audit. Such technical SEO issues, together with on-page optimization gaps and opportunities to earn backlinks, can be found with tools like Screaming Frog, Ahrefs, and SEMrush.

Step 2: Identify High-Impact Opportunities

Use the data collected to figure out the biggest bang-for-buck opportunities. Look at those pages with the potential for quite a high volume of traffic, but which are underperforming regarding the keywords focused on and content gaps that can be filled with new or updated content.

Step 3: Content Automation

This is one of the most vital parts of programmatic SEO. Scripts and tools such as the ones programmed in Python for the generation of content come quite in handy for producing significant, plentiful, and high-quality content in a short amount of time. Ensure no duplication of content, relevance, and optimization for all your target keywords.

Example: An e-commerce website generated unique product descriptions for thousands of its products with a Python script, gaining 15% more organic traffic.

Step 4: Optimize on-page elements

Tools like Screaming Frog and Ahrefs can also be leveraged to find loopholes for optimizing the on-page SEO elements. This includes meta titles, meta descriptions, headings, or even adding alt text for images. Make these changes in as effective a manner as possible.

Step 5: Build High-Quality Backlinks

Link building is one of the most vital components of SEO. Tools to be used in this regard include Ahrefs and SEMrush, which help identify opportunities for backlinks and automate outreach campaigns. Begin to acquire high-quality links from authoritative websites.

Example: A SaaS company automated its link-building outreach using SEMrush, landed some wonderful backlinks from industry-leading blogs, and considerably improved its domain authority. ### Step 6: Monitor and Analyze Performance

Regularly track your SEO performance on Google Data Studio. Analyze your data concerning your programmatic efforts and make data-driven decisions on the refinement of your strategy.

See Programmatic SEO in Action

50% Win in Organic Traffic for an E-Commerce Site

Remarkably, an e-commerce electronics website was undergoing an exercise in setting up programmatic SEO for its product pages with Python scripting to enable unique meta descriptions while fixing technical issues with the help of Screaming Frog. Within just six months, the experience had already driven a 50% rise in organic traffic.

A Travel Blog Boosts Search Visibility by 40%

Ahrefs and SEMrush were used to recognize high-potential keywords and optimize the content on their travel blog. By automating updates in content and link-building activities, it was able to set itself up to achieve 40% increased search visibility and more organic visitors.

User Engagement Improvement on a News Portal

A news portal had the option to use Google Data Studio to make some real-time dashboards to monitor their performance in SEO. Backed by insights from real-time dashboards, this helped them optimize the content strategy, leading to increased user engagement and organic traffic.

Challenges and Solutions in Programmatic SEO

Ensuring Content Quality

Quality may take a hit in the automated process of creating content. Therefore, ensure that your automated scripts can produce unique, high-quality, and relevant content. Make sure to review and fine-tune the content generation process periodically.

Handling Huge Amounts of Data

Dealing with huge amounts of data can become overwhelming. Use data visualization tools such as Google Data Studio to create dashboards that are interactive, easy to make sense of, and result in effective decision-making.

Keeping Current With Algorithm Changes

Search engine algorithms are always in a state of flux. Keep current on all the recent updates and calibrate your programmatic SEO strategies accordingly. Get ahead of the learning curve by following industry blogs, attending webinars, and taking part in SEO forums.

Future of Programmatic SEO

The future of programmatic SEO seems promising, as developing sectors in artificial intelligence and machine learning are taking this space to new heights. Developing AI-driven tools would allow much more sophisticated automation of tasks, thus making things easier and faster for marketers to optimize sites as well.

There are already AI-driven content creation tools that can make the content to be written highly relevant and engaging at scale, multiplying the potential of programmatic SEO.

Conclusion

Programmatic SEO is the next step for any digital marketer willing to scale up efforts in the competitive online landscape. The right tools and techniques put you in a position to automate key SEO tasks, thus optimizing your website for more organic traffic. The same goals can be reached more effectively and efficiently if one applies programmatic SEO to an e-commerce site, a travel blog, or even a news portal.