#AI Platforms

[jcmarchi]

Deepfake misuse & deepfake detection (before it’s too late) - CyberTalk

New Post has been published on https://thedigitalinsider.com/deepfake-misuse-deepfake-detection-before-its-too-late-cybertalk/

Deepfake misuse & deepfake detection (before it’s too late) - CyberTalk

Micki Boland is a global cyber security warrior and evangelist with Check Point’s Office of the CTO. Micki has over 20 years in ICT, cyber security, emerging technology, and innovation. Micki’s focus is helping customers, system integrators, and service providers reduce risk through the adoption of emerging cyber security technologies. Micki is an ISC2 CISSP and holds a Master of Science in Technology Commercialization from the University of Texas at Austin, and an MBA with a global security concentration from East Carolina University.

In this dynamic and insightful interview, Check Point expert Micki Boland discusses how deepfakes are evolving, why that matters for organizations, and how organizations can take action to protect themselves. Discover on-point analyses that could reshape your decisions, improving cyber security and business outcomes. Don’t miss this.

Can you explain how deepfake technology works? 

Deepfakes involve simulated video, audio, and images to be delivered as content via online news, mobile applications, and through social media platforms. Deepfake videos are created with Generative Adversarial Networks (GAN), a type of Artificial Neural Network that uses Deep Learning to create synthetic content.

GANs sound cool, but technical. Could you break down how they operate?

GAN are a class of machine learning systems that have two neural network models; a generator and discriminator which game each other. Training data in the form of video, still images, and audio is fed to the generator, which then seeks to recreate it. The discriminator then tries to discern the training data from the recreated data produced by the generator.

The two artificial intelligence engines repeatedly game each other, getting iteratively better. The result is convincing, high quality synthetic video, images, or audio. A good example of GAN at work is NVIDIA GAN. Navigate to the website https://thispersondoesnotexist.com/ and you will see a composite image of a human face that was created by the NVIDIA GAN using faces on the internet. Refreshing the internet browser yields a new synthetic image of a human that does not exist.

What are some notable examples of deepfake tech’s misuse?

Most people are not even aware of deepfake technologies, although these have now been infamously utilized to conduct major financial fraud. Politicians have also used the technology against their political adversaries. Early in the war between Russia and Ukraine, Russia created and disseminated a deepfake video of Ukrainian President Volodymyr Zelenskyy advising Ukrainian soldiers to “lay down their arms” and surrender to Russia.

How was the crisis involving the Zelenskyy deepfake video managed?

The deepfake quality was poor and it was immediately identified as a deepfake video attributable to Russia. However, the technology is becoming so convincing and so real that soon it will be impossible for the regular human being to discern GenAI at work. And detection technologies, while have a tremendous amount of funding and support by big technology corporations, are lagging way behind.

What are some lesser-known uses of deepfake technology and what risks do they pose to organizations, if any?

Hollywood is using deepfake technologies in motion picture creation to recreate actor personas. One such example is Bruce Willis, who sold his persona to be used in movies without his acting due to his debilitating health issues. Voicefake technology (another type of deepfake) enabled an autistic college valedictorian to address her class at her graduation.

Yet, deepfakes pose a significant threat. Deepfakes are used to lure people to “click bait” for launching malware (bots, ransomware, malware), and to conduct financial fraud through CEO and CFO impersonation. More recently, deepfakes have been used by nation-state adversaries to infiltrate organizations via impersonation or fake jobs interviews over Zoom.

How are law enforcement agencies addressing the challenges posed by deepfake technology?

Europol has really been a leader in identifying GenAI and deepfake as a major issue. Europol supports the global law enforcement community in the Europol Innovation Lab, which aims to develop innovative solutions for EU Member States’ operational work. Already in Europe, there are laws against deepfake usage for non-consensual pornography and cyber criminal gangs’ use of deepfakes in financial fraud.

What should organizations consider when adopting Generative AI technologies, as these technologies have such incredible power and potential?

Every organization is seeking to adopt GenAI to help improve customer satisfaction, deliver new and innovative services, reduce administrative overhead and costs, scale rapidly, do more with less and do it more efficiently. In consideration of adopting GenAI, organizations should first understand the risks, rewards, and tradeoffs associated with adopting this technology. Additionally, organizations must be concerned with privacy and data protection, as well as potential copyright challenges.

What role do frameworks and guidelines, such as those from NIST and OWASP, play in the responsible adoption of AI technologies?

On January 26th, 2023, NIST released its forty-two page Artificial Intelligence Risk Management Framework (AI RMF 1.0) and AI Risk Management Playbook (NIST 2023). For any organization, this is a good place to start.

The primary goal of the NIST AI Risk Management Framework is to help organizations create AI-focused risk management programs, leading to the responsible development and adoption of AI platforms and systems.

The NIST AI Risk Management Framework will help any organization align organizational goals for and use cases for AI. Most importantly, this risk management framework is human centered. It includes social responsibility information, sustainability information and helps organizations closely focus on the potential or unintended consequences and impact of AI use.

Another immense help for organizations that wish to further understand risk associated with GenAI Large Language Model adoption is the OWASP Top 10 LLM Risks list. OWASP released version 1.1 on October 16th, 2023. Through this list, organizations can better understand risks such as inject and data poisoning. These risks are especially critical to know about when bringing an LLM in house.

As organizations adopt GenAI, they need a solid framework through which to assess, monitor, and identify GenAI-centric attacks. MITRE has recently introduced ATLAS, a robust framework developed specifically for artificial intelligence and aligned to the MITRE ATT&CK framework.

For more of Check Point expert Micki Boland’s insights into deepfakes, please see CyberTalk.org’s past coverage. Lastly, to receive cyber security thought leadership articles, groundbreaking research and emerging threat analyses each week, subscribe to the CyberTalk.org newsletter.

[2ribu]

Penggunaan Cloud Computing dalam Pengembangan AI: Alat dan Platform yang Meningkatkan Efisiensi

Cloud computing telah menjadi salah satu inovasi teknologi paling signifikan dalam dekade terakhir. Dalam pengembangan kecerdasan buatan (AI), peran cloud computing sangat penting karena memungkinkan pengembang untuk memanfaatkan infrastruktur dan layanan yang fleksibel, skalabel, dan hemat biaya. Dengan semakin kompleksnya algoritma AI dan meningkatnya kebutuhan akan data besar (big data), cloud…

[techdriveplay]

What Is the Best Way to Use AI in Content Creation?

Artificial Intelligence (AI) has transformed various industries, and content creation is no exception. By understanding what is the best way to use AI in content creation, creators can leverage this technology to enhance productivity, quality, and creativity. From automated writing tools to data analysis, AI offers diverse applications that can streamline the content production process, ensuring…

[cbrownjc]

I hope this is true. Because it would just be so in line with deciding to be so cartoonishly evil in public right before SAG was set to go on strike as well. A union that really has the power to shut down the whole industry and make them lose astronomical amounts of money per day.

All that Deadline article probably did was make SAG more emboldened to get everything they're asking for and not extend the deadline again.

[everythingwaschocolateandsugar]

Revolutionizing Industries with AI: An Overview of the Market Landscape

Artificial Intelligence (AI) is revolutionizing the way businesses operate across various industries. The market landscape for AI solutions is growing at an unprecedented pace, and it is estimated to reach a value of $190 billion by 2025. In this article, we will provide an overview of how AI is revolutionizing industries and the market landscape for AI solutions.

Healthcare

AI is playing a critical role in the healthcare industry, from diagnostics to drug development. With AI, healthcare professionals can analyze patient data more accurately, identify patterns, and develop personalized treatment plans. AI-powered devices can also monitor patients remotely, reducing the burden on healthcare professionals and improving patient outcomes. AI-powered drug discovery solutions can also accelerate the drug development process and improve the accuracy of clinical trials.

Finance

AI is transforming the finance industry, from fraud detection to customer service. AI-powered solutions can analyze large amounts of data in real-time, enabling financial institutions to detect and prevent fraud quickly. AI-powered chatbots and virtual assistants can also improve customer experience by providing personalized financial advice and support. AI-powered trading algorithms can also help financial institutions make more informed investment decisions.

Request for Sample PDF: https://www.nextmsc.com/artificial-intelligence-market/request-sample

Retail

AI is revolutionizing the retail industry by providing personalized recommendations, improving inventory management, and enhancing the customer experience. With AI, retailers can analyze customer data to understand their preferences and shopping behavior, providing personalized recommendations and improving customer satisfaction. AI-powered inventory management systems can also help retailers optimize their inventory levels, reducing waste and increasing profitability. AI-powered chatbots and virtual assistants can also improve the customer experience by providing personalized support and assistance.

Manufacturing

AI is transforming the manufacturing industry by improving production efficiency, reducing downtime, and enhancing product quality. With AI, manufacturers can analyze production data in real-time, identifying inefficiencies and areas for improvement. AI-powered predictive maintenance solutions can also identify potential equipment failures before they occur, reducing downtime and improving production efficiency. AI-powered quality control solutions can also improve product quality by identifying defects and anomalies in real-time.

Market Landscape for AI Solutions

The market landscape for AI solutions is vast and diverse, with various players offering AI solutions across industries. The market is dominated by tech giants such as Google, Microsoft, and Amazon, who offer a wide range of AI-powered solutions across various industries. However, there are also numerous startups and smaller players offering specialized AI solutions for specific industries and use cases.

Conclusion

AI is revolutionizing industries across the board, from healthcare to finance to retail to manufacturing. The market landscape for AI solutions is growing at an unprecedented pace, with numerous players offering AI solutions across various industries. As AI technology continues to evolve, it is important for businesses to stay informed and adapt to the changing landscape. With the right AI solutions, businesses can improve efficiency, reduce costs, and enhance the customer experience, leading to increased profitability and growth.

[pillowfort-social]

fuck generative ai

[soapdispensersalesman]

[bixels]

After the enormous boost in users and popularity Tumblr received post-Twitter scare, Staff decided it wasn't healthy to stay at the top for so long (altitude sickness) and have been hard at work blowing their own feet up with sticks of dynamite to return to the good ol' days of post-NSFW ban. Godspeed, Staff. May you beat Elon and his blasting crew at reducing your respective sites to a smoldering crater.

[jcmarchi]

10 Best AI Veterinary Tools (December 2024)

New Post has been published on https://thedigitalinsider.com/10-best-ai-veterinary-tools-december-2024/

10 Best AI Veterinary Tools (December 2024)

The veterinary field is undergoing a transformation through AI-powered tools that enhance everything from clinical documentation to cancer treatment. These innovative platforms are not just digitizing traditional processes – they are fundamentally reshaping how veterinary professionals approach patient care, diagnostic accuracy, and practice management. In this guide, we’ll explore some of the groundbreaking AI veterinary tools that demonstrate the incredible potential of artificial intelligence in animal healthcare, from smart collars that monitor vital signs to sophisticated oncology platforms that process billions of data points.

Scribenote is an AI-powered clinical documentation system where machine learning processes veterinary conversations in real-time to generate comprehensive medical records. The platform combines advanced speech recognition with specialized veterinary AI models, transforming how animal healthcare providers handle clinical documentation while maintaining high standards of patient care.

The architecture of Scribenote centers on its automated documentation engine, which processes multilayered audio inputs through specialized AI systems designed for veterinary terminology. This system operates through parallel processing capabilities that simultaneously capture conversations, interpret medical terminology, and generate structured SOAP (Subjective, Objective, Assessment, and Plan) notes. The platform’s infrastructure connects with major Practice Management Systems (PIMS), enabling integration of AI-generated documentation while maintaining continuous data synchronization with clinic records.

The platform also incorporates specialized veterinary models trained on extensive clinical datasets. This enables the platform to process multiple types of appointments, including complex scenarios like multi-pet visits and specialized procedures, while maintaining accurate medical documentation that meets professional standards.

Key features

AI-driven SOAP note generation system with real-time processing capabilities

Multi-device synchronization framework with offline recording support

Automated PIMS integration architecture for seamless record transfer

Team collaboration system with real-time editing capabilities

Specialized template processing engine for diverse clinical scenarios

Visit Scribenote →

Vetology functions as an advanced AI diagnostic center where machine learning systems process veterinary imaging data to provide rapid clinical insights. The platform combines sophisticated image recognition technology with teleradiology services, transforming how veterinary practices approach diagnostic imaging while maintaining high accuracy standards through AI-human collaboration.

At its core, Vetology’s AI Virtual Radiologist engine processes radiographic images through multiple analytical layers. This system simultaneously evaluates anatomical structures, detects abnormalities, and generates detailed clinical reports within minutes. The platform integrates with existing practice management systems, enabling workflow integration while maintaining continuous synchronization with clinic records.

The system’s AI extends beyond basic image analysis, incorporating specialized algorithms for automated cardiac measurements and vertebral heart scoring. This technical foundation enables the platform to process multiple imaging modalities, achieving a 92% agreement rate with board-certified radiologists through its advanced pattern recognition capabilities. The platform also maintains a sophisticated teleradiology network, creating a hybrid system that combines AI efficiency with specialist expertise for complex cases.

Key features

AI diagnostic engine with 5-minute report generation capabilities

Automated cardiac measurement system with vertebral heart scoring

Multi-modality processing framework supporting radiographs, CT, and MRI

Integration architecture supporting major practice management systems

Pattern recognition algorithms trained on extensive veterinary datasets

Visit Vetology →

Digitail is an integrated AI practice management ecosystem where intelligent systems process veterinary workflows and client interactions in real-time. The platform combines cloud-based operations with AI-driven automation to help veterinary clinics handle everything from medical records to client communication.

The platform’s foundation builds on an intelligent workflow system that processes multiple operational streams simultaneously. This enables seamless coordination between appointment scheduling, medical documentation, and inventory management through AI-powered automation. The system also synchronizes data across all modules in real-time, creating a unified environment where information flows smoothly between staff members, pet parents, and clinic systems.

The AI capabilities extend throughout the platform, with intelligent features that enhance clinical operations. A sophisticated voice-to-text engine processes medical dictation for SOAP notes, while smart algorithms analyze patient histories to generate quick summaries and support clinical decision-making. The platform also maintains a dedicated mobile ecosystem through its Pet Parent App, creating direct channels for client engagement and telemedicine services while processing complex payment transactions and inventory data.

Key features

AI-powered documentation system with voice-to-text processing

Smart scheduling framework with automated client reminders

Real-time inventory management system with predictive tracking

Integrated payment processing architecture supporting complex transactions

Mobile client engagement platform with telemedicine capabilities

Visit Digitail →

Image: GoldieVet

GoldieVet is an AI transcription powerhouse where veterinary conversations are turned into detailed medical documentation. The platform transforms audio recordings into comprehensive medical records within minutes, evolving how veterinary teams handle their documentation while protecting sensitive clinical data.

The system processes audio input through sophisticated speech recognition designed specifically for veterinary terminology and clinical workflows. This infrastructure enables rapid transformation of various clinical scenarios – from routine check-ups to complex surgical procedures – into detailed medical records while maintaining high accuracy standards. The platform operates through a controlled environment that ensures data security, processing recordings without using client information to train external AI models.

GoldieVet prioritizes accessibility across devices, enabling veterinary teams to capture and access records through smartphones, tablets, or computers. While currently operating as a standalone for documentation, the system’s processing capabilities will expand through direct integration with practice management systems. At approximately $0.38 per consultation, the platform demonstrates significant cost efficiency while processing unlimited appointments through its subscription model.

Key features

AI-powered transcription engine with multi-scenario processing

Cross-device recording system with web-based access

Secure data processing framework with privacy protection

Flexible export capabilities for practice management integration

Cost-efficient processing model supporting unlimited appointments

Visit GoldieVet →

Image: HappyDoc

HappyDoc is another AI scribe tool for veterinarians, turning conversations into instant medical documentation. The platform combines real-time transcription with customizable workflows, transforming how veterinary teams capture patient information while maintaining their unique documentation styles. The system processes clinical dialogues through advanced speech recognition algorithms trained specifically for veterinary terminology. This enables immediate conversion of appointments into detailed medical records, while smart templates adapt to each clinic’s preferred documentation approach. The platform’s direct integration with various PIMS creates seamless data flow, eliminating manual transfer steps while maintaining strict security protocols for patient information.

A recent $2.2 million investment from Range Ventures, Service Provider Capital, and Kickstart demonstrates the platform’s growing impact in veterinary technology. This funding drives further development of HappyDoc’s AI capabilities, with the platform already showing significant success in reducing administrative burdens. The system’s efficiency in processing clinical conversations allows veterinary teams to focus more on patient care and client interactions, addressing common challenges like work-life balance and professional burnout.

Key features

Real-time AI transcription engine with veterinary-specific processing

Smart template system supporting clinic-specific customization

Direct PIMS integration framework for automated record transfer

Advanced security protocols for patient data protection

Instant documentation processing for improved time management

Visit HappyDoc →

FidoCure is an AI oncology tool that processes complex genomic data to create personalized cancer treatments for dogs. The platform combines next-generation sequencing with extensive proprietary datasets, improving how veterinary teams approach canine cancer care through targeted therapeutic strategies. The system analyzes tumor genetics through advanced sequencing technology that processes detailed molecular profiles. This enables precise identification of cancer-driving mutations while matching them against a vast database of over 2 billion data points. The platform’s AI engine continuously processes real-world treatment outcomes, creating an ever-expanding knowledge base that refines therapeutic recommendations and improves patient care strategies.

Recent developments highlight the platform’s innovation potential, with a September 2024 patent for targeted therapy and biomarker detection in canine bladder cancer. This advancement builds on the system’s core strength of processing complex genomic data to identify effective treatment pathways. Through continuous collection and analysis of real-world evidence, the platform maintains a dynamic understanding of treatment efficacy, enabling veterinary teams to make informed decisions based on comprehensive molecular insights.

Key features

AI genomic analysis engine with mutation-specific targeting

Treatment recommendation system processing 2 billion+ data points

Real-time outcome tracking framework for continuous learning

Molecular profiling system with targeted therapy matching

Patent-protected processing methods for specific cancer types

Visit FidoCure →

Image: ImpriMed

ImpriMed is an AI cancer analysis platform where machine learning systems process live cancer cells to predict optimal treatment paths for pets. The platform combines sophisticated drug response testing with artificial intelligence, helping veterinary oncologists approach lymphoma and leukemia treatment through personalized medicine. The platform processes cancer cells through an advanced testing framework that evaluates their response to various anticancer drugs in real-time. This infrastructure enables precise analysis of each patient’s unique cancer profile within 3-7 days, while simultaneously conducting comprehensive immunoprofiling through flow cytometry and PCR for Antigen Receptor Rearrangements (PARR) assays. The platform’s AI engine synthesizes these multiple data streams to generate highly accurate predictions about treatment efficacy.

The year 2024 marked a significant expansion with the launch of the Drug Response Predictions (DRP) service, showcasing the platform’s growing capabilities in veterinary oncology. Looking ahead, the system’s processing power will extend beyond veterinary applications, with plans to analyze human cancers like multiple myeloma by 2025. This evolution demonstrates the platform’s robust foundation in processing complex biological data to generate actionable treatment insights, whether for canine lymphomas or future human applications.

Key features

AI drug response prediction system with live cell analysis

Rapid processing framework delivering results within 3-7 days

Comprehensive diagnostic suite with immunoprofiling capabilities

Multi-modal testing architecture combining flow cytometry and PARR

Treatment efficacy prediction engine for personalized therapy

Visit ImpriMed →

PetPace processes real-time pet biometrics through a smart collar interface. The platform combines continuous physiological tracking with location awareness, providing a new way for pet owners and veterinarians to monitor animal health through non-invasive technology. The system processes multiple vital signs through advanced sensors that continuously collect and analyze data streams. This enables simultaneous monitoring of temperature, pulse, respiration, heart rate variability (HRV), and various behavioral indicators. The platform’s AI engine synthesizes these inputs through sophisticated machine learning algorithms, creating comprehensive health profiles that detect subtle changes in pet wellness patterns.

Through collaboration with veterinary researchers, PetPace has developed specialized pain detection models that process complex biometric patterns. These AI systems can identify discomfort associated with conditions like osteoarthritis, enabling early intervention. The platform also maintains location awareness through integrated GPS functionality, processing movement data to establish safe zones and generate alerts when pets venture beyond designated boundaries.

Key features

Multi-parameter biometric processing system with continuous monitoring

AI analysis engine for anomaly detection and health prediction

Specialized pain recognition models using proprietary algorithms

Real-time GPS tracking system with geofencing capabilities

Comprehensive health scoring framework for wellness assessment

Visit PetPace →

Image: Petriage

Petriage is a telehealth platform where AI systems process pet health data to provide rapid care guidance. The platform combines symptom analysis with round-the-clock professional support. The tool also analyzes pet symptoms through a patented AI engine that achieves 97% accuracy in assessing care urgency. This enables instant health evaluations while connecting pet owners with licensed veterinary professionals through Petriage Live. The platform processes multiple service streams simultaneously – from automated triage to curbside check-in and pharmacy fulfillment – creating a seamless experience for both clinics and pet families.

The platform’s innovation earned recognition through a U.S. patent in February 2021, validating its unique approach to AI-driven pet health assessment. A month later, the system expanded its capabilities to create a comprehensive telehealth environment. This evolution shows how Petriage processes complex health data into actionable insights, helping prevent minor issues from becoming serious concerns while maintaining strong connections between veterinary teams and pet owners.

Key features

AI symptom analysis engine with 97% accuracy rating

24/7 professional support system with licensed veterinary staff

Integrated check-in framework for streamlined clinic visits

Digital pharmacy processing with home delivery options

Real-time communication system for enhanced client care

Visit Petriage →

Image: ScribbleVet

ScribbleVet is a veterinary-specific AI documentation tool that processes clinical conversations into polished medical records. The platform combines natural speech processing with specialized veterinary knowledge, working its magic through sophisticated algorithms that filter and process clinical dialogue in real-time. This AI tool does not just transcribe – it intelligently separates the signal from the noise, capturing essential medical details while filtering out casual conversation. What makes this particularly useful is the AI’s deep understanding of veterinary terminology, ensuring precise documentation that truly speaks the language of animal medicine.

Beyond basic note-taking, ScribbleVet’s platform extends into the realm of client communication, employing specialized language models to translate medical terminology into pet-parent friendly explanations. Through customizable templates, the platform adapts to each clinic’s unique style and workflow – whether you prefer detailed narratives or crisp bullet points, the system molds itself to match your documentation DNA.

Key features

Intelligent filtering system for focused medical documentation

Veterinary-specific AI engine with comprehensive terminology processing

Template customization framework supporting multiple documentation styles

Client communication system with medical translation capabilities

Cross-platform accessibility through mobile and web interfaces

Visit ScribbleVet →

Using AI to Help Our Pets

The integration of AI in veterinary medicine represents far more than just technological advancement. Through these top platforms, we are seeing AI tackle the field’s most pressing challenges: from reducing administrative burden through intelligent scribes to revolutionizing cancer treatment through genomic analysis. Each tool brings its unique contribution to the ecosystem, whether it’s Petriage’s 97% accurate symptom assessment or FidoCure’s processing of over 2 billion cancer data points.

Looking ahead, these AI platforms will continue to evolve and expand their capabilities, likely incorporating new breakthroughs in machine learning and data processing. As veterinary practices become more comfortable with these technologies, we will likely see even deeper integration between different platforms, creating a more connected and efficient veterinary care environment. The future of veterinary medicine is not just about replacing manual tasks with automation – it is about augmenting veterinary professionals’ expertise with AI-driven insights, ultimately leading to better outcomes for our animal companions.

[meideixx]

who is hunting who?

Art by Mì Thịt Bò / Commissioned by mdxx

[gojoest]

quick heads up to the antis that jjk ended and now the year is 2024 and fushiguro megumi is 22 if that’s going to help you sleep at night and hold your horses since you don’t get the concept of aging up characters

[lanlishiba]

Equestria Twilight pls give me strength

[xakemi13x]

I Decided to Post some of my Drawings Outside of Ibis Paint!

Here are some drawings in :

Spray Paint-Roblox

And here's a drawing I made in class!

I don't really study character designs, so sorry if I messed something up ;^ - ^).

[dutchs-blog]

American Dad Ai Genarated

[burnyourtrains]

Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art Stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art stop stealing art

This means reposting without permission. Feeding into ai. Taking as your own. Not giving credit to the artist. Posting things that aren't yours in the first place. Etc.

This goes for fanart, original pieces from the artist, writing, gifsets - anything someone took the time to make.

Stop stealing art

[pillowfort-social]