#web3-tools

[cybereliasacademy]

Meet Neurahub - The Perfect Coding Buddy to Help You Learn and Create

Too Long; Didn’t Read Neurahub is an up-and-coming platform allowing users to harness the limitless power of artificial intelligence to learn, create, and earn. Among its numerous AI tools is an AI code generator that can save you time and resources, helping your project get off the ground successfully. The platform requires minimal user input to produce compelling images within seconds.

[rich4a1]

Finding Your Audience with AI: How to Use Listening Data, Fan Clusters, and Mood Insights to Supercharge Your Music Campaigns

Making a Scene Presents – Finding Your Audience with AI: How to Use Listening Data, Fan Clusters, and Mood Insights to Supercharge Your Music Campaigns In the old music business, finding your audience meant playing as many shows as possible, handing out flyers, and hoping someone passed your CD to the right person. Today, it’s about data—and not just any data, but the kind of deep behavioral…

[mohrewkey]

AI Speeds Up Cancer Diagnoses, Saving Lives One Hour at a Time

TL;DR: AI’s Role in Faster Cancer Diagnosis AI is enabling early detection of APL, a highly aggressive but curable leukemia. The Leukemia Smart Physician Aid can reduce diagnosis time from days to hours. Peripheral blood smear technology, enhanced by AI, makes global deployment feasible. Funding is critical to ensure this technology reaches clinics worldwide. Shenderov advocates for…

[cryptowhaleguide]

Identifying Early Crypto Narratives Before They Go Mainstream: A 2025 Guide

In the dynamic world of cryptocurrency, staying ahead of emerging trends can significantly enhance investment strategies. This guide explores methods to identify early crypto narratives before they gain mainstream attention, providing investors with tools to capitalize on nascent opportunities. Understanding Crypto Narratives Crypto narratives are overarching themes or stories that encapsulate…

[besttrading247]

NFT Trading Opportunities in Decentralized Markets

NFT Trading Opportunities in Decentralized Markets Welcome to the Wild West of Digital Art! Hey there, fellow digital cowboy! Saddle up, because today we’re riding into the untamed territory of NFTs (non-fungible tokens) and decentralized markets. If you’ve been lurking in the shadows of the internet, contemplating whether to jump on the NFT bandwagon, now’s your chance! This article is all…

[leonbasinwriter]

Web 3.0 vs Web 2.0: A Writing Revolution

How Web 3.0 is Rewriting the Rules of Writing, Ownership, and Monetization Forever The Broken Promise of Web 2.0 For decades, writers have been trapped in a system that rewards platforms over creators. The Web 2.0 era turned content into a commodity—owned by corporations, monetized through ads, and dependent on algorithms. Writers became cogs in a machine, trading their time and talent for…

[intelisync]

2024 Startup Toolkit: Key Web3 Marketing Tools

Are you ready to revolutionize your marketing strategy? Discover the power of Web3 tools and take your business to the next level.

In 2024, Web3 marketing tools are set to redefine how businesses approach marketing. Unlike traditional Web2 marketing, which relies on centralized platforms, Web3 marketing utilizes decentralized technologies that prioritize transparency, user control, and direct engagement.

This new approach allows startups and small businesses to connect with their audiences in more meaningful and secure ways. Platforms like Mastodon and Brave Browser are at the forefront of this shift, offering decentralized social media experiences and prioritizing user privacy.

Tools like Dune Analytics provide real-time insights into blockchain data, enabling marketers to make data-driven decisions and optimize their campaigns. Steemit and Galxe offer unique ways to reward user engagement and content creation, fostering vibrant communities around brands.

The innovative use of NFTs, demonstrated by a fashion company's success on Rarible, shows how Web3 tools can create exclusive and engaging marketing experiences that drive brand loyalty and redefine audience interaction.

Partnering with Intelisync can help businesses navigate the complexities of Web3 marketing.

By integrating these top six Web3 tools into your strategy, Intelisync ensures your business stays competitive and achieves remarkable brand recognition and sales growth. Transform your marketing efforts with Intelisync’s expertise in Web3 technologies. Contact us today to start your Web3 marketing journey and achieve Learn more...

[analytickit]

Web3 Marketing Company - Analytickit's Analytics Tools

Analytickit Tools revolutionizes data analysis by seamlessly integrating traditional and blockchain data, providing a comprehensive solution for making informed, data-driven decisions. This innovative platform combines the strengths of conventional data analytics with the security and transparency of blockchain technology. Whether you're navigating financial landscapes, optimizing supply chains, or enhancing operational efficiency, Analytickit Tools equips you with a powerful toolkit. By offering a seamless blend of traditional and blockchain data analysis, Analytickit Tools ensures that you have a holistic view of your data ecosystem. The platform's user-friendly interface and advanced analytical capabilities empower both seasoned professionals and newcomers to extract valuable insights. Make strategic decisions with confidence, backed by the synergy of trusted data sources and the immutability of blockchain records. Analytickit Tools is not just a tool; it's a catalyst for elevating your decision-making processes to new heights. Read more at: https://analytickit.com/

[dostoyevsky-official]

the team is excited to unveil $DOSTO! for the first time, you can now trade in $DOSTO tokens through secure blockchain networks in order to build generational wealth. we are the first to explore the moral depths of the new web3 digital architecture—no other tools are going where we we go, guaranteed. our environment is a cutting-edge space like no other. join us, build, create. get dostocoin today

[endlessmazin]

3K followers update

-̷-̵-̸-̶-̴-̴-̴-̶-̷ Web site live: MAZiN.NET

-̷-̵-̸-̶-̴-̴-̴-̶-̷ Sub-Blogs

Corrupted Souls - Focusing on video game glitch/ROM corrupting

Compact Drive - Abstract artwork blog made by databending

m4shingan - Experimentation with AI video tools

-̷-̵-̸-̶-̴-̴-̴-̶-̷ Tags

#ditheriumdei

#mazin analog

#wiredweb

#realmcore

-̷-̵-̸-̶-̴-̴-̴-̶-̷ Social Media & Web3

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[rich4a1]

The Future Is Collaborative: How AI and Decentralization Are Rewriting the Music Industry

Making a Scene Presents – The Future Is Collaborative: How AI and Decentralization Are Rewriting the Music Industry For years, the conversation around technology and creativity has been shaped by one central tension: man versus machine. In the music world, that tension is now louder than ever. Many artists see artificial intelligence as a threat—another algorithm coming for their job, another…

[kais-radwan]

Can we upgrade open-source decentralized services, tools, and networks so decentralization can be the default options for startups and developers..?? can we achieve big tech's security and stability with decentralized networks ??

Share any thoughts or ideas you have... what you think ?

NOTICE: I'm not talking about web3 or crypto.

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[mariacallous]

AI slop is flowing onto every major platform where people post online—and Medium is no exception.

The 12-year-old publishing platform has undertaken a dizzying number of pivots over the years. It’s finally on a financial upswing, having turned a monthly profit for the first time this summer. Medium CEO Tony Stubblebine and other executives at the company have described the platform as “a home for human writing.” But there is evidence that robot bloggers are increasingly flocking to the platform, too.

Earlier this year, WIRED asked AI detection startup Pangram Labs to analyze Medium. It took a sampling of 274,466 recent posts over a six-week period and estimated that over 47 percent were likely AI-generated. “This is a couple orders of magnitude more than what I see on the rest of the internet,” says Pangram CEO Max Spero. (The company’s analysis of one day of global news sites this summer found 7 percent as likely AI-generated.)

The strain of slop on Medium tends toward the banal, especially compared with the dadaist flotsam clogging Facebook. Instead of Shrimp Jesus, one is more apt to see vacant dispatches about cryptocurrency. The tags with the most likely AI-generated content included “NFT”—out of 5,712 articles tagged with this phrase over the last several months, Pangram found that 4,492, or around 78 percent, came back as likely AI-generated—as well as “web3,” “ethereum,” “AI,” and, for whatever reason, “pets.”

WIRED asked a second AI detection startup, Originality AI, to run its own analysis. It examined a sampling of Medium posts from 2018 and compared it with a sampling from this year. In 2018, 3.4 percent were estimated as likely AI-generated. CEO Jon Gillham says that percentage corresponds to the company’s false-positive rate, as AI tools were not widely used at that point. For 2024, with a sampling of 473 articles published this year, it suspected that just over 40 percent were likely AI-generated. With no knowledge of each others’ analyses, both Originality and Pangram came to similar conclusions about the scope of AI content.

When contacted by WIRED for this article and notified of the results of the AI detection analyses, Stubblebine rejected the premise that Medium has an AI issue. “I am disputing the importance of the results and also the idea that these companies discovered anything,” he says.

Stubblebine does not deny that Medium has seen a major uptick in AI-generated articles. “We think, probably, AI-generated content that gets posted to Medium is probably up tenfold from the beginning of the year,” he says. He also adopts a generally adversarial approach to AI slop appearing on the platform: “We’re strongly against AI content.” But he objects to the use of AI detectors in assessing the scope of the issue, in part because he alleges they cannot differentiate between posts that are wholly AI-generated and posts in which AI is used more lightly. (“That’s not accurate,” Spero says; he claims Pangram can indeed differentiate between a ChatGPT post generated from a prompt and a post based on an AI outline but fleshed out with human writing.)

According to Stubblebine, Medium tested several AI detectors and decided they were not effective. (Stubblebine also accused Pangram Labs of attempting to extort him “by press” because Spero, Pangram’s CEO, sent an email detailing the results of the analysis WIRED had requested and then offered its services to Medium. “I just thought we could help them,” Spero says.)

AI detection tools are, indeed, flawed. They work by analyzing texts and making predictions and can produce false positives and false negatives. Caution using them to judge individual pieces of writing and artwork is warranted, especially with a new wave of tools available to trick them. Still, they have utility as barometers gauging changes in how much AI-generated content exists on certain platforms and websites, and they can help researchers, journalists, and the public to spot patterns.

“Since AI detectors are accurate but not perfect, it is impossible to say with certainty whether any single piece of content is AI-generated or not,” says Gillham. “However, they are great at seeing the trend of AI writing taking over platforms like Medium.”

Others have spotted this trend. “During my regular scans for new AI-generated news sites, I regularly come across AI-generated content on Medium on a weekly basis,” says McKenzie Sadeghi, an editor at online misinformation tracking company NewsGuard. “I've found that most of it is often about crypto, marketing, SEO.”

Stubblebine is adamant that these numbers do not accurately capture what Medium readers experience. “It doesn't matter,” he says. “Having access to the raw feed of what gets posted to Medium doesn't represent the actual activity of what gets recommended and viewed. The vast majority of detectable AI-generated stories in the raw feeds for these topics already have zero views. Zero views is the goal and we already have a system that accomplishes [that].” He believes Medium is effectively containing its AI slop with the combination of its general-purpose spam filtering system and its human moderation.

Many accounts that appear to post high volumes of AI-generated material do, indeed, appear to have puny or non-existent readerships. One account flagged by Pangram Labs as the author of likely AI-generated posts about crypto, for example, posted six times in one day, with no interactions on any of the posts, suggesting a negligible impact. Other flagged posts appear to have been recently pulled down; while some may have been voluntarily removed, others may have been removed by Medium days or weeks after publication. Sometimes, Medium deliberately delays removing spam, according to Stubblebine, if it has identified “spam rings” attempting to game the system.

Zero views was not the case across the board, though. WIRED found that other articles flagged as likely AI-generated by Pangram, Originality, and the AI detection company Reality Defender, had hundreds of “claps,” which are similar to “likes” on other platforms, suggesting at the very least a readership substantially higher than zero.

Stubblebine sees people as the cornerstone of Medium’s approach to quality control. “Medium basically runs on human curation now,” he says. He cites the 9,000 editors of Medium’s publications, as well as additional human evaluation for stories that can be “boosted” or more widely distributed. “I think you could, if you're being pedantic, say we're filtering out AI—but there's a goal above that, which is, we're just trying to filter out the stuff that's not very good.”

Medium has taken steps this year to curb the presence of robotic bloggers, updating its AI policy. Its stance is a notable contrast to other platforms, like LinkedIn and Facebook, that explicitly encourage people to use AI. Instead, Medium no longer allows AI writing to be paywalled in its Partner program, to receive wider human-curated distribution from its Boost program, or to promote affiliate links. Disclosed AI writing can get general distribution, but undisclosed AI writing is given only “network” distribution, which means it is meant to appear only on the feeds of people who follow the writer. Medium defines AI-generated writing as “writing where the majority of the content has been created by an AI-writing program with little or no edits, improvements, fact-checking, or changes.” Medium does not have any AI-specific enforcement tools for these new rules. “We've found that our existing curation system has the side effect of filtering out AI generated writing simply because AI generated writing is also bad writing,” says Stubblebine.

Some Medium writers and editors do applaud the platform’s approach to AI. Eric Pierce, who founded Medium’s largest pop culture publication Fanfare, says he doesn’t have to fend off many AI-generated submissions and that he believes that the human curators of Medium’s boost program help highlight the best of the platform’s human writing. “I can’t think of a single piece I’ve read on Medium in the past few months that even hinted at being AI-created,” he says. “Increasingly, Medium feels like a bastion of sanity amid an internet desperate to eat itself alive.”

However, other writers and editors believe they currently still see a plethora of AI-generated writing on the platform. Content marketing writer Marcus Musick, who edits several publications, wrote a post lamenting how what he suspects to be an AI-generated article went viral. (Reality Defender ran an analysis on the article in question and estimated it was 99 percent “likely manipulated.”) The story appears widely read, with over 13,500 “claps.”

In addition to spotting possible AI content as a reader, Musick also believes he encounters it frequently as an editor. He says he rejects around 80 percent of potential contributors a month because he suspects they’re using AI. He does not use AI detectors, which he calls “useless,” instead relying on his own judgment.

While the volume of likely AI-generated content on Medium is notable, the moderation challenges the platform faces—how to surface good work and keep junk banished—is one that has always plagued the greater web. The AI boom has simply super-charged the problem. While click farms have long been an issue, for example, AI has handed SEO-obsessed entrepreneurs a way to swiftly resurrect zombie media outlets by filling them with AI slop. There’s a whole subgenre of YouTube hustle culture entrepreneurs creating get-rich-quick tutorials encouraging others to create AI slop on platforms like Facebook, Amazon Kindle, and, yes, Medium. (Sample headline: “1-Click AI SEO Medium Empire 🤯.”)

“Medium is in the same place as the internet as a whole right now. Because AI content is so quick to generate that it is everywhere,” says plagiarism consultant Jonathan Bailey. “Spam filters, the human moderators, et cetera—those are probably the best tools they have.”

Stubblebine’s argument—that it doesn’t necessarily matter whether a platform contains a large amount of garbage, as long as it successfully amplifies good writing and limits the reach of said garbage—is perhaps more pragmatic than any attempt to wholly banish AI slop. His moderation strategy may very well be the most savvy approach.

It also suggests a future in which the Dead Internet theory comes to fruition. The theory, once the domain of extremely online conspiratorial thinkers, argues that the vast majority of the internet is devoid of real people and human-created posts, instead clogged with AI-generated slop and bots. As generative AI tools grow more commonplace, platforms that give up on trying to blot out bots will incubate an online world in which work created by humans becomes increasingly harder to find on platforms swamped by AI.