#AI Development Solution

[annabelledarcie]

AI Solutions for a Smarter Future: Development Trends and Best Practices

Artificial Intelligence (AI) is no longer a futuristic concept—it's shaping the present and transforming industries worldwide. From automation and data analytics to predictive insights and personalized experiences, AI is revolutionizing how businesses operate and engage with customers. As the technology evolves, staying ahead of the curve is essential for organizations aiming to leverage AI to their advantage. In this blog, we’ll explore the latest AI development trends, along with best practices for businesses to build smarter, more efficient AI solutions.

The AI Landscape: A Smarter Future

AI solutions are increasingly embedded into a wide range of industries, including healthcare, finance, retail, manufacturing, and beyond. The increasing use of AI is powered by advancements in computing, data analytics, and machine learning techniques. Key benefits of AI include:

Enhanced Productivity: Automating routine tasks enables employees to focus on more creative, high-value work.

Better Decision-Making: AI’s data processing power offers real-time, data-driven insights, helping businesses make informed decisions quickly.

Personalization: AI-driven customer experiences lead to more tailored products, services, and interactions, improving satisfaction and loyalty.

Predictive Analytics: AI systems can identify trends and patterns that help businesses anticipate market shifts, customer behavior, and operational challenges.

In this rapidly evolving landscape, understanding current AI trends and adopting best practices is key to staying competitive.

Key AI Development Trends

As AI continues to mature, several trends are emerging that will influence the future of AI development. Here are some of the most significant trends that businesses need to be aware of:

1. Increased Adoption of Generative AI

Generative AI, which includes technologies like GPT (Generative Pre-trained Transformers), DALL·E, and other neural networks, is transforming industries by creating content, automating design, and generating synthetic data. This trend is particularly evident in content creation, where AI can produce human-like text, images, and even music.

Use Cases:

Content Generation: AI can automatically generate written content, marketing copy, blog posts, and more.

Product Design: AI can assist in creating product prototypes by analyzing customer preferences and trends.

Synthetic Data: Generative AI is used to create synthetic datasets, helping businesses train AI models without relying on sensitive or expensive real-world data.

Impact: Generative AI is lowering costs, speeding up innovation cycles, and allowing businesses to scale faster than ever before. However, it’s crucial to ensure ethical use of generative models, particularly in areas like data privacy and authenticity.

2. AI-Driven Automation in Business Operations

Robotic Process Automation (RPA) combined with AI is increasingly being used to automate repetitive, time-consuming tasks. AI-driven automation can be applied across various business functions, including customer service, inventory management, supply chain optimization, and financial operations.

Use Cases:

Customer Service: AI-powered chatbots and virtual assistants provide instant customer support, improving response times and efficiency.

Financial Operations: AI can automatically process invoices, track expenses, and perform data analysis for financial forecasting.

Supply Chain: AI models help predict demand, optimize routes, and manage inventory based on real-time data.

Impact: By automating routine tasks, businesses can reduce operational costs, increase efficiency, and allow employees to focus on higher-value activities.

3. Explainable AI (XAI)

As AI models become more complex, the need for transparency in how decisions are made is growing. Explainable AI (XAI) refers to AI systems that provide clear explanations for their decisions. This trend is crucial, especially in industries like healthcare, finance, and legal, where understanding the rationale behind AI decisions is essential for trust and accountability.

Use Cases:

Healthcare: AI models used for diagnostics need to explain why certain diagnoses or treatment plans are recommended.

Finance: In credit scoring, customers need to understand how their financial history influences the AI's decision.

Legal: Legal professionals require transparency when AI is used to predict case outcomes or analyze contracts.

Impact: XAI helps build trust with users, enhances regulatory compliance, and allows businesses to use AI in more critical, high-stakes applications.

4. AI in Edge Computing

Edge computing involves processing data closer to its source, such as IoT devices, rather than relying solely on centralized cloud servers. AI is increasingly being integrated into edge devices to enable real-time decision-making without the latency of sending data to the cloud.

Use Cases:

Autonomous Vehicles: Edge AI is crucial for enabling self-driving cars to process sensor data and make decisions in real time.

Smart Manufacturing: AI models deployed on manufacturing equipment can monitor performance, detect issues, and adjust operations on-site.

Healthcare: Wearable devices with embedded AI can monitor vital signs and trigger alerts in case of anomalies.

Impact: AI in edge computing enhances performance, reduces latency, and provides more reliable insights in real-time applications, especially in remote or decentralized environments.

5. AI for Cybersecurity

As cyber threats become more sophisticated, AI is playing an increasingly important role in detecting, preventing, and responding to security incidents. AI-driven cybersecurity solutions can automatically identify and mitigate potential threats, reducing the need for manual intervention.

Use Cases:

Anomaly Detection: AI can detect unusual patterns in network traffic or user behavior, signaling a potential security breach.

Threat Intelligence: AI models analyze large amounts of data from multiple sources to identify emerging cyber threats.

Automated Response: AI can autonomously respond to certain types of cyberattacks, such as blocking malicious IP addresses or isolating infected devices.

Impact: AI-powered cybersecurity solutions are faster, more accurate, and capable of responding to threats in real time, helping businesses defend against evolving cyber risks.

Best Practices for Developing AI Solutions

To harness the power of AI effectively, businesses must follow best practices that ensure AI development is successful, ethical, and sustainable. Here are some best practices for AI development:

1. Focus on Data Quality

AI solutions rely on data to learn and make decisions, so the quality of the data used for training models is critical. Ensure that the data you’re using is clean, accurate, and relevant. Poor data quality leads to poor AI outcomes, which can result in incorrect decisions, inefficiencies, and poor customer experiences.

Best Practice:

Implement a robust data governance strategy to ensure high-quality data and establish clear protocols for data collection, storage, and processing.

2. Start Small with Pilot Projects

AI implementation can be a significant undertaking. To mitigate risks and ensure a smooth transition, start with small-scale pilot projects. This approach allows you to test AI solutions, assess their impact, and refine them before scaling them across the organization.

Best Practice:

Begin with a clear, measurable objective for your pilot, such as improving operational efficiency or enhancing customer engagement.

Use pilot projects as learning opportunities to gather insights that can improve future AI deployments.

3. Prioritize Ethical AI Development

AI solutions should be developed with ethical considerations in mind. This includes ensuring fairness, transparency, and accountability in decision-making processes, as well as avoiding bias and discrimination in AI models.

Best Practice:

Implement ethical guidelines and frameworks that promote fairness, inclusivity, and transparency in AI development.

Regularly audit AI models to detect and mitigate biases.

4. Ensure Scalability and Flexibility

As your AI solutions evolve, they should be scalable and flexible enough to adapt to changing business needs. This means designing AI systems that can grow with your business, handle larger volumes of data, and integrate with new technologies.

Best Practice:

Use modular AI architectures that allow for easy upgrades and integration with other systems as needed.

Plan for scalability from the outset, ensuring that your AI infrastructure can accommodate future growth.

5. Embrace Continuous Learning and Improvement

AI development is not a one-time process but an ongoing journey. AI models need continuous training and refinement to improve accuracy and adapt to new patterns. Set up processes for continuous monitoring, learning, and optimization.

Best Practice:

Implement a feedback loop where AI systems are constantly updated based on real-world performance and new data.

Regularly evaluate the performance of AI models and make improvements to ensure they remain effective over time.

Conclusion

AI solutions are transforming industries and driving smarter, more efficient businesses. By staying on top of emerging trends—such as generative AI, edge computing, and AI for cybersecurity—and following best practices for AI development, organizations can harness the full potential of AI to gain a competitive edge.

The key to success lies in developing AI solutions that are aligned with your business needs, ethical standards, and technological capabilities. As AI continues to evolve, those who adopt the right strategies will be well-positioned to shape the future of their industries.

[gouravsapra]

Implementing AI solutions involves defining objectives, assessing data, and building a skilled team. Follow these key steps for successful integration and innovation.

[girderednerve]

Low quality books that appear to be AI generated are making their way into public libraries via their digital catalogs, forcing librarians who are already understaffed to either sort through a functionally infinite number of books to determine what is written by humans and what is generated by AI, or to spend taxpayer dollars to provide patrons with information they don’t realize is AI-generated.

With Hoopla, librarians have to opt into Hoopla’s entire catalog, then pay for whatever their customers choose to borrow from that catalog. The only way librarians can limit what Hoopla books their customers can borrow is by setting a limit on the price of books. For example, a library can use Hoopla but make it so their customers can only borrow books that cost the library $5 per use.

“Investigating these authors, their book covers, their social media, etc takes A LOT OF TIME, especially with the volume of questionable material increasing month to month (and that's not including the sheer amount of legitimate books published each month in adult fiction that I'm looking at),” one librarian who asked to remain anonymous so she could talk openly about her job, told me. “Is it the best use of my time doing this work on top of my other duties when customers may or may not care? And with the rising multitudes of AI generated content, will there come a point where it just ‘is what it is?’”

This type of low quality, AI generated content, is what we at 404 Media and others have come to call AI slop. Librarians, whose job it is in part to curate what books their community can access, have been dealing with similar problems in the publishing industry for years, and have a different name for it: vendor slurry. While the term now encompasses what seems like AI-generated content as well, it predates the rise of generative AI, and also refers to the glut of low quality, often self-published ebooks or book “summaries” that are common on Hoopla. As some librarians told me, the sheer quantity of books in Hoopla’s service makes it seem more valuable because it offers such a large number of books, but in reality that number is misleadingly inflated by this slurry.

Several of the librarians I talked to said that they are worried about discussing [the problems raised by Hoopla's weak, unclear selection policies, including the 2022 inclusion of explicitly white nationalist texts,] because of the growing hostility towards libraries and groups like Moms for Liberty demanding that books about LGBTQ rights, race, and ethnicity be removed from libraries. One the one hand, librarians want to curate their collections and make sure their patrons are getting access to quality information. On the other hand, they don’t want people to think that they are trying to censor what materials patrons can access in way that’s comparable to what organizations like Moms for Liberty want. None of the librarians I talked to suggested the AI-generated content needed to be banned from Hoopla and libraries only because it is AI-generated. It might have its place, but it needs to be clearly labeled, and more importantly, provide borrowers with quality information.

[sstechsystemofficial]

Trusted outsource software development teams - SSTech System

Outsource software development is the practice of relinquishing software-related duties to outside singularities or organizations. Outsourcing is used by firms to acquire software services and products from outside firms that do not have direct employees or employees under contract to the business entity that is outsourcing.

Infect, the outsourcing market worldwide is projected to grow by 8.28% (2025-2029) resulting in a market volume of US$812.70bn in 2029. This model is highly versatile and suits businesses of all sizes.

Start-ups often use outsourcing to develop MVPs quickly, while established companies might seek custom software development services or AI outsourcing services to address complex challenges. Outsourcing can include working with offshore development teams, global software development partners, or local experts like Australian software development experts for specific projects.

The benefits of outsourcing software development

Outsourcing has become a cornerstone for modern businesses due to its numerous advantages. Here’s a closer look at the key benefits:

1. Cost efficiency

Perhaps the biggest incentive for sourcing solutions from outsourcing service providers is the cost cutting factor. For instance, offshore software development in India provides expertise services at comparatively lower cost than that of in-house developed services in Western countries. This efficiency enable the enactments of cost savings in some other strategic sectors of the organization.

2. Access to global talent

Outsourcing can help to discover the wealth of new talents as well as the skills of professionals from other countries. No matter Whether it’s AI and machine learning integration, web application development in Australia, or outsourced healthcare software development, businesses can find experts in virtually any domain.

3. Scalability and flexibility

Outsourcing offers flexibility that is unparalleled in many organizations today. This is because; firms are able to expand and contract particular teams depending on the specific demand in projects. For example, outsourced IT solutions help business organizations prepare for different conditions while not having to employ permanent workers.

4. Faster time-to-market

With reliable software development teams in Australia or offshore development teams in India, businesses can speed up their project timelines. This helps innovations to make it through to the market early enough, which is useful for companies.

5. Focus on core activities

By delegating tasks like software maintenance and support or cloud software development in Australia to outsourcing partners, businesses can focus on their core competencies and strategic goals.

6. Reduced risk

In-house staff and trained outsourcing partners come with best practices, methods and procedures which when implemented reduce the chances of project hitch. Working with the top-rated IT outsourcing companies in Australia gives you confidence that your project is in safe hands.

Choosing the right outsourced software development partner

In the period from 2023 to 2027, the revenue of software outsourcing is forecasted to thrive at a CAGR of 7.54%. So, outsourcing partner selection is one of the most vital components since it determines the success of a given venture. Here are essential factors to consider:

1. Technical expertise

Check the partner’s competency and his knowledge of the field.  For instance, SSTech System Outsourcing offers comprehensive solutions, from AI development services in India to mobile app development outsourcing in Australia.

2. Proven track record

Look for partners with a strong portfolio and positive client testimonials. A proven track record in delivering custom software development services or managing outsourcing software development contracts is a good indicator of reliability.

3. Effective communication

Effective and open communication is extremely important if the project is to be successful. Work with people who give frequent reports and employ efficient media to overcome the differences in time areas.

4. Cultural compatibility

There has to be a cultural match or at least appreciation for each other’s customs for there to be harmony in the working relationship. As such, staffed with proficient Australia software development experts or offshore development teams, whose experience is to work on global markets can coordinate and blend well with your work culture.

5. Security and compliance

You have to make sure that your partner complies with the standards and the policies that are in the industry. This is especially substantial for all information-sensitive projects such as outsourced healthcare software development or cloud software development in Australia.

6. Scalable infrastructure

Choose a partner capable of scaling their resources and infrastructure to meet your project’s evolving needs. This is crucial for long-term collaborations, especially with global software development partners.

AI-powered tools for outsourced development teams

According to a report from the US Bureau of Labor Statistics, software development ranks among the most sought-after professions. Hence, AI is at the forefront of reshaping the outsourcing industry. Therefore, the implementation of artificial intelligence will add value to business processes, make workflow easier, and boost the results of projects. Here are some examples:

1. Automated code reviews

Tools like DeepCode and SonarQube assist outsourced teams in detecting whether errors reside in the code line or not, and whether code needs to be enriched or not. This is particularly accurate concerning AI outsourcing and in-house development industries.

2. Predictive analytics

Automated analytics tools can predict such things as the time it will take to complete the project, how much money it will cost, and what risks are possible in a software development outsourcing scenario.

3. Smart project management

Tools and platforms such as Jira and Monday.com, when empowered with AI, allow the coordination of tasks and the tracking of progress and resource allocation.

4. AI collaboration tools

Communication and collaboration with internal members and offshore software development Australia partners get facilitated through applications that include, Slack, Microsoft Teams, and zoom with integrated AI functions.

5. Natural Language Processing (NLP)

AI-powered chatbots and virtual assistants simplify communication and issue resolution, making them valuable for managing outsourced IT solutions.

Best practices for managing outsourced development teams

Outsourced teams should be mandated and coordinated following a number of recommendations to ensure the efficiency of the entirety of the outsourcing process.

Here are the best practices to ensure your project’s success:

1. Set clear objectives

Make it clear to your project team, stakeholders, and other relevant parties what the parameters of the project are, what it is that you expect out of it, and what you expect to get from it in return. This fostaines consistency between your team and the outsourcing partner to increase efficiency in service delivery.

2. Choose the right tools

Use project tracking and collaboration software approaches to track and evaluate progress and meet regular informality and collaboration targets.

3. Foster a collaborative environment

It is worthy of note that constant communication is key to ensuring that your outsourcing team is on the same page with you. Fresh produce and feedback mechanisms need to be provided in order for there to be trust as is needed in project management.

4. Draft comprehensive contracts

There should be a comprehensive outsourcing software development contract. It should address issues to do with confidentiality, ownership of ideas and concepts, plea structure and mode of handling disputes.

5. Focus on long-term relationships

Building a long-term partnership with trusted providers like SSTech System Solutions can lead to consistent quality and better project outcomes.

Conclusion

To keep up with technology, outsourcing software development offers businesses solutions and support that can enable the creation of complex solutions out of mere ideas. Outsourcing has the benefits of minute overhead cost and is also a rich source of globally talented employees, and it offers the advantage of early time to market. Whether you’re looking for mobile app development outsourcing in Australia or seeking offshore software development in India or opting for AI outsourcing services, the potential is huge.

Such companies can only benefit from opting for reliable outsourcing companies such as SSTech System Outsourcing and embracing industry best practices to promote the success of business project implementations while enhancing market relevance. As technologies like AI and cloud computing are still changing the face of the outsourcing market, software development outsourcing will still be important for any company that wants to survive in a digital world.

Take the first step today—partner with global software development partners and unlock the full potential of your ideas with the power of outsourcing.

[siteaddalabs]

Promotional Video Designing - Website Design and Graphic Design Company in India

Creating Promotional Videos In-Home Graphic Design Developing and Designing Websites Applications for Customized Digital Marketing Solutions for the Cloud Strategy for IT Consulting Technology Commercial Solutions Analytics & Reporting Indian Promotional Video Design Firm India's Top Brand Promotion Video Promotion Firm in Indore Obtain marketing videos for your goods that raise awareness and encourage purchases.

[insightfultake]

Why Did India’s Finance Ministry Restrict the Use of AI Tools in Offices? A Closer Look at the Decision

In a significant move, India’s Finance Ministry recently issued an advisory restricting the use of artificial intelligence (AI) tools, such as ChatGPT, Bard, and other generative AI platforms, in government offices. This decision has sparked widespread debate, with many questioning the rationale behind it. Why would a government, in an era of rapid technological advancement, curb the use of tools that promise efficiency and innovation? Let’s delve into the logic and reasoning behind this decision, including the geopolitical implications and the growing global AI race, particularly with China. Read more

[manojbiswas]

AI Chatbot Development Services for Seamless Customer Support

 Our AI-based chatbot development services are designed to provide businesses with an efficient

 and scalable solution to improve customer service and streamline workflows. With advanced features such as 24/7 availability, multilingual support, and seamless integration with CRM, ERP, and other business systems, our chatbot platform ensures a smooth customer experience.

We offer highly customizable chatbots tailored to your brand’s voice, enabling businesses to manage high volumes of interactions, enhance user engagement, and boost sales. Our chatbots also feature in-depth analytics that provides valuable insights into user behavior, helping you continuously optimize your customer service efforts. Whether you’re a small and medium enterprise (SME) or a large business enterprise, our chatbot services can be adapted to meet your specific needs. With support for both audio and video calls, and integration with multiple platforms like AWS, Google Cloud, and Azure, our chatbots are the smart choice for businesses looking to improve customer satisfaction and drive revenue growth.

Contact Information

Email: sales@evontech.com

Phone Numbers: +1 408 454 6110

Location: 410 E Santa Clara Street, Unit #1023, San Jose, CA 95113 

[atcuality1]

Simplify Transactions and Boost Efficiency with Our Cash Collection Application

Manual cash collection can lead to inefficiencies and increased risks for businesses. Our cash collection application provides a streamlined solution, tailored to support all business sizes in managing cash effortlessly. Key features include automated invoicing, multi-channel payment options, and comprehensive analytics, all of which simplify the payment process and enhance transparency. The application is designed with a focus on usability and security, ensuring that every transaction is traceable and error-free. With real-time insights and customizable settings, you can adapt the application to align with your business needs. Its robust reporting functions give you a bird’s eye view of financial performance, helping you make data-driven decisions. Move beyond traditional, error-prone cash handling methods and step into the future with a digital approach. With our cash collection application, optimize cash flow and enjoy better financial control at every level of your organization.

[gouravsapra]

From Vision to Reality: AI Developers are pioneering innovations that are transforming industries. Discover how AI is shaping the future and driving technological advancement. 🚀

[reputablesoftwaresolutions]

Best Web and Software Solutions Personalized for Your Company

Today, it's crucial for any business to have a strong online presence in the digital age. IT Solution company offers web and software solutions to help your business stand out and succeed, whether you're a small business owner or part of a large company. It creates websites and software that are tailored to your specific needs.

Software Solutions team of skilled developers is dedicated to building solutions that work for you. It uses the latest technology to design websites that look great and function smoothly. Whether you need a new website, an e-commerce platform, or a custom software application, we can make it happen.

Software Solutions understands that every business is unique, so we take the time to learn about your goals and challenges to create software solutions that match your vision. Its websites and software are designed not just to look good, but to drive real results for your business.

Its focus is on creating easy-to-use and secure solutions. Your customers will have a great experience when they visit your website, and software will help you run your business more efficiently. Additionally, Software Solutions are designed to grow your business and continue to meet your needs as you expand.

It provides ongoing support to ensure everything runs smoothly. As your business grows, we'll be there to update and improve your digital tools so you can keep focusing on what you do best.

[elsa16744]

10 Ways Artificial Intelligence is Transforming the Market Research Industry

Artificial intelligence (AI) is revolutionizing various industries, and the market research solutions sector is no exception. By harnessing the power of AI, companies can gain deeper insights into consumer behavior, optimize their strategies, and make data-driven decisions with greater precision. In this article, we’ll explore 10 transformative ways AI is reshaping the market research industry and how Gen AI development solutions are at the forefront of this evolution.

Understanding What Market Research Necessitates

Market research is essential for businesses seeking to understand consumer needs, preferences, and market dynamics. It involves collecting and analyzing data from various sources to inform strategic decisions. Effective market research solutions help brands grow by uncovering valuable insights into consumer behavior, market trends, and competitive positioning.

10 Ways Artificial Intelligence is Transforming the Market Research Industry

1. Context-Aware Virtual Chatbots

The use of context-aware virtual chatbots has become increasingly popular in market research. These advanced AI-driven tools engage customers in meaningful conversations, gather qualitative feedback, and provide insights into consumer preferences. By automating interactions and analyzing responses, businesses can enhance their market research efforts and increase survey participation.

2. Real-Time Behavior Monitoring

AI-powered tools enable real-time behavior monitoring, offering valuable insights into consumer interactions and product usage patterns. This real-time data helps businesses identify trends, optimize user experiences, and improve customer satisfaction.

3. Unstructured Data Processing

Processing unstructured data from sources like social media, news articles, and multimedia content is a critical aspect of market research. AI-driven solutions excel at unstructured data processing, turning diverse information into actionable insights for market research strategies.

4. Emotion-Driven Profiling

AI technologies enable emotion-driven profiling by analyzing sentiment and emotional responses from customer feedback. This approach helps businesses understand emotional drivers behind consumer behavior and refine their marketing strategies.

5. Predictive Analytics

With predictive analytics, AI helps market researchers forecast future trends, customer behaviors, and market shifts. These insights empower businesses to make informed decisions and stay ahead of the competition.

6. Customer Segmentation

AI enhances customer segmentation by analyzing data to group consumers based on shared characteristics. This segmentation enables businesses to create targeted marketing campaigns and improve customer engagement.

7. Cost-Time Analysis and Optimization

AI solutions streamline market research processes, reducing both cost and time. Through automation and advanced analytics, businesses can conduct comprehensive market studies efficiently, making cost-time optimization accessible to companies of all sizes.

8. Extensive Automation

AI facilitates extensive automation in market research tasks, allowing for continuous data collection and analysis. This automation frees up resources and enables employees to focus on strategic decision-making.

9. Product Performance Simulation

AI-driven product performance simulations allow businesses to test and refine product concepts in virtual environments. These simulations provide valuable insights into product durability, user experience, and potential improvements.

10. Risk Monitoring and Resolution

AI-powered risk monitoring tools help businesses identify potential issues in marketing strategies and product developments. By analyzing data for risk monitoring, businesses can implement proactive measures and ensure resilience against market fluctuations.

Conclusion

AI is a game-changer for the market research industry, offering innovative solutions for data analysis, customer engagement, and strategic planning. By exploring advanced market research solutions and leveraging Gen AI development solutions, businesses can unlock new opportunities and stay competitive in a rapidly evolving market landscape. Embracing these technologies will be crucial for market research professionals looking to drive success in the future.

[ciswomenofficial]

No matter whether AI does a good job at what it does or not, rage against the technology isn’t going to solve the labor issues. It isn’t going to stop artists and writers from losing their jobs. Whether it’s able to do the job adequately or not, it will be used to replace that job if all we do is protest against the technology itself. It will similarly do so if we rally around liberal principals like “copyright” and “intellectual property.” Most of the “intellectual property” belongs to conglomerates, not to intellectual laborers. The same if you misrepresent AIs water and energy consumption. None of these will get you anywhere productive, and some of them (“intellectual property”) even show a petty-bourgeoisie outlook.

Of course we should be concerned about small independent artists having their lives be less stable—even if it’s not our chief concern. Whether someone is an artisan proper or has some semi-proletarian characteristics (that is if they are working a side hustle to get by while they work on their passion project) that doesn’t mean we shouldn’t take their interests into account, but it does need to come from an industrial proletarian perspective first and foremost. Who will get laid off if AI technology is adopted? Who will lose their income? These are far more primary than independent artists.

The industrial proletariat is the most concentrated and unified force we have. It is this force with which we can fight and win. If we want to fight and win on the subject of AI, it must be fought with the organized industrial proletariat. Unions represent one lower form of this fight. The higher form of this fight is a political leadership that can lead to political reforms and regulations being adopted by the government as concessions, or perhaps even AI and other means of production being seized by the proletariat and regulated and technologically improved by the proletariat.

[shadow-redferne]

sooo fucking tired of people saying to "use nightshade/glaze to protect your art!", my pc cant fucking run them and for all i know techbros can just figure out a way to bypass it anyway.