Friday, December 20, 2024

AI Tools May Soon Influence Online Decision-Making, Researchers Warn

Researchers at the University of Cambridge have raised concerns that artificial intelligence (AI) could be used to manipulate online decisions, from consumer purchases to political choices.

The study introduces a new concept called the “intention economy,” where companies will bid on predictions of human behavior, manipulating intentions to drive profit. In this emerging marketplace, AI tools will predict, shape, and sell information about human motivations to the highest bidder.

The Rise of the Intention Economy

Researchers from the Leverhulme Centre for the Future of Intelligence (LCFI) at Cambridge argue that this new economy could replace the current “attention economy.” In the attention economy, social media platforms like Facebook and Instagram thrive by capturing users’ attention and serving them targeted ads.

The intention economy takes this a step further by focusing on a user’s personal intentions and motivations. From booking a hotel room to deciding which political candidate to support, AI-powered platforms will learn and predict these behaviors, selling that knowledge to companies seeking to profit from it.

A New Digital Currency: Human Intentions

Dr. Jonnie Penn, a technology historian at LCFI, explains that, for decades, user attention has been the digital currency that powers the internet. However, as AI evolves, human intentions could become the next valuable asset. Without regulation, companies may target, influence, and sell these motivations, creating new challenges for democracy, free markets, and fair elections.

Large language models (LLMs), such as the AI that powers chatbots like ChatGPT, are at the forefront of this shift. These models can analyze behavioral and psychological data to predict and even influence decisions. For example, instead of simply showing ads, AI systems may interact with users directly, asking questions like, “Have you thought about watching this movie?” or suggesting, “I remember you mentioned being stressed, would you like me to book that movie ticket?”

Customizing AI to Manipulate User Behavior

The research outlines how LLMs can use detailed personal data—like a user’s vocabulary, age, gender, and preferences—to guide conversations in ways that align with advertisers’ goals. With AI tools capable of predicting what a user might want next, businesses could create highly personalized ads and nudges aimed at shaping their decisions.

For instance, AI models could offer tailored recommendations for booking flights, hotels, or even suggesting restaurants—turning everyday decisions into profitable moments for advertisers. Meta’s Cicero AI, which can play the game Diplomacy by predicting opponents’ intentions, exemplifies how AI could navigate complex human interactions to anticipate and influence behavior.

Implications for Privacy and Autonomy

As AI tools continue to evolve, the ability to predict and influence user behavior will increase. Models will be able to adjust their strategies based on continuous streams of user data, raising significant privacy concerns. These tools could steer conversations to collect more personal information, thus maximizing the likelihood of achieving specific outcomes, such as a sale.

Tech executives, including Nvidia CEO Jensen Huang, have acknowledged this potential. Huang stated that AI models will soon be able to understand a person’s desires and goals, presenting information that best aligns with their intentions, based on contextual understanding.

Conclusion: The Future of Human Agency in an AI-Driven World

The rise of the intention economy could drastically change how we interact with the digital world. If unregulated, it could threaten fundamental aspects of human autonomy, including free elections, a fair press, and competition in the marketplace. Researchers urge us to consider the implications of such an economy before it becomes an irreversible force shaping society’s future.


Tuesday, December 17, 2024

The Most Popular AI Tools of 2024 (And What That Even Means)

 

Are you curious about which AI tools businesses and creators have embraced most this year? Here's a comprehensive look at the AI leaderboard for 2024, featuring ChatGPT, Canva, Google Gemini, and others, along with insights into how they compare in market share and functionality.


Table of Contents

ChatGPT - Market Share: 54.96%

Canva - Market Share: 14.92%

DeepL - Market Share: 5.38%

Google Gemini - Market Share: 4.75%

Character.AI - Market Share: 3.90%

Remove.bg - Market Share: 1.76%

JanitorAI - Market Share: 1.72%

QuillBot - Market Share: 1.68%

Grammarly - Market Share: 1.66%

Claude - Market Share: 1.57%

The Under 1.5% Club

Popularity in Tech: A Complex Metric

Measuring popularity in the tech world is no simple task. It largely depends on the metrics chosen for analysis and the availability of reliable data. For artificial intelligence, this challenge becomes even more pronounced due to its diverse applications. AI can be a standalone tool or an embedded feature in broader software ecosystems. For instance, Photoshop’s generative fill tool is immensely popular but does not appear in public AI tool metrics because it’s not marketed as a separate entity.


To address this, Exploding Topics, a trend analysis company, examined web searches, mentions, and other data points using platforms like Semrush and Similarweb. By evaluating total traffic volume for 20 leading AI tools, they provided a snapshot of overall performance in 2024. Although the data, collected in August, may not encompass all AI tools, it offers a clear view of the most dominant players.


The 2024 AI Leaderboard

1. ChatGPT - Market Share: 54.96%

ChatGPT continues to dominate as the leader in generative AI. With robust investment and innovative features like its new text-to-video tool, Sora, OpenAI’s flagship product remains unparalleled. A recent $200/month subscription tier targets power users seeking even more advanced capabilities. Its versatility in applications ranging from productivity to content generation ensures its place as the benchmark for AI tools.


2. Canva - Market Share: 14.92%

Canva has significantly expanded its AI capabilities, introducing features like Magic Studio, automated background removal, resizing for social media formats, and text-to-image generation. These additions have transformed Canva into more than just a graphic design tool—it’s now an AI-powered creative platform that appeals to marketers and content creators alike.


3. DeepL - Market Share: 5.38%

DeepL distinguishes itself as a premium language translation service, offering seamless file translations for PDFs, Word documents, and PowerPoint decks. With support for 33 languages and integration options for other applications, DeepL markets itself as a “Language AI platform” and continues to grow steadily.


4. Google Gemini - Market Share: 4.75%

Google’s Gemini recently launched its 2.0 version with several new features. Despite its relatively modest market share, Gemini’s “AI Overviews” reportedly reach over a billion users. While its programming capabilities still trail competitors like ChatGPT, the product’s expansive reach and integration with Google’s ecosystem indicate future potential.


5. Character.AI - Market Share: 3.90%

This platform specializes in creating chatbots that simulate various personalities. Its unique appeal lies in user-generated customization, although it has sparked controversy over the use of its virtual characters. Despite this, Character.AI’s popularity underscores the growing interest in AI for entertainment and role-playing.


6. Remove.bg - Market Share: 1.76%

Remove.bg provides a straightforward solution for background removal in images. While similar features are now available in operating systems and other apps, the simplicity and effectiveness of this tool ensure its continued relevance.


7. JanitorAI - Market Share: 1.72%

Targeting fans of anime-style characters, JanitorAI focuses on online role-playing. Although its niche focus limits its market share, it has cultivated a dedicated user base.


8. QuillBot - Market Share: 1.68%

QuillBot offers an array of writing assistance tools, including a grammar checker, paraphraser, and plagiarism detector. Its Flow tool, an AI-powered word processor, adds further value, particularly for professionals and students.


9. Grammarly - Market Share: 1.66%

As a pioneer in AI writing assistance, Grammarly has evolved from a grammar checker into a comprehensive tool for tone, style, and plagiarism detection. While its AI detector has room for improvement, its long-standing reputation secures its position on this list.


10. Claude - Market Share: 1.57%

Anthropic’s Claude chatbot has gained attention due to significant investments from Amazon and Google. Integrated into platforms like Slack, Claude is poised for further growth despite some early performance issues.

Observations from the "Under 1.5% Club"

Several other tools with smaller market shares still merit recognition. These include:


Perplexity (1.46%): Excelling in programming tests.

Suno (1.26%): Specializing in text-to-song generation.

CapCut (0.89%): An AI-driven video editor gaining traction.

Microsoft Copilot (0.56%): Embedded across Microsoft’s ecosystem.


Notable absences include MidJourney and Notion’s AI tools. These offerings, while impactful, are often integrated into broader products and don’t appear as standalone services in analytics metrics.


Looking Ahead: AI in 2025

As we transition into 2025, expect AI integration to deepen across industries. While ChatGPT is set to strengthen its dominance, competitors like Google Gemini and Microsoft Copilot are likely to challenge its position. Meanwhile, companies such as Apple and Amazon have yet to make significant breakthroughs in AI innovation, leaving room for speculation about their future strategies.


The coming year will also likely reveal which AI companies overpromised and underdelivered. Amid the hype, businesses and consumers will increasingly demand practical, reliable solutions. With AI becoming an integral part of daily life, the tools that can demonstrate consistent value will ultimately succeed. 

Tuesday, December 10, 2024

AI Predictions for 2025: Trends Defining the Future

As artificial intelligence evolves from a groundbreaking innovation to an integral tool, 2025 is set to be a transformative year. Businesses worldwide are shifting their focus from exploring AI’s potential to implementing it at scale to remain competitive in a rapidly advancing digital landscape.

Accelerating AI Adoption

By 2025, enterprise adoption of AI is projected to exceed 70%, according to Forrester. This surge reflects a shift from experimentation to full-scale integration, as businesses harness AI to boost productivity, streamline processes, and enhance decision-making.

Economic forecasts highlight AI’s growing influence, with Deloitte estimating it will contribute $15.7 trillion to the global economy by 2030. This economic boom is fueled by industries embedding AI into daily operations, transforming areas such as forecasting, data analysis, and customer support into faster, more scalable processes.

AI Agents Leading the Charge

AI agents are emerging as a transformative trend, equipped to function autonomously—setting goals, making decisions, and managing tasks with minimal human intervention. Tools like AutoGPT and Microsoft AutoGen exemplify how these agents are advancing project management, data analysis, and customer service.

However, not all AI agents deliver full autonomy. Many marketed systems are merely advanced iterations of large language models (LLMs), lacking true multitasking capabilities. Startups such as Wordware are setting a higher bar, developing tailored conversational agents that automate workflows and handle complex tasks efficiently.

Multimodal Models Revolutionizing Interaction

Multimodal AI, which processes text, images, and audio simultaneously, is revolutionizing user experiences. Models like Claude 3, GPT-4o, and Gemini 1.5 demonstrate how multimodal systems create interactive, versatile applications for education, design, and accessibility.

Apple’s anticipated MM1 model is expected to disrupt the field with a privacy-focused approach, prioritizing data security without sacrificing performance. These advancements signal a future where multimodal AI becomes integral to user engagement.

Revolutionizing Data with RAG

Retrieval-augmented generation (RAG) is reshaping how industries handle data. By combining generative AI with real-time retrieval capabilities, RAG delivers accurate and current insights, a critical advantage for sectors reliant on up-to-date information.

Frameworks like Amazon Bedrock and NVIDIA’s RAG tools simplify adoption, enabling businesses to leverage real-time insights for decision-making and customer interactions. Programs such as Miquido’s AI Kickstarter provide tailored solutions, helping companies prototype and integrate RAG-driven tools effectively.

Expanding Beyond Text

Generative AI is transcending text-based applications, entering the realms of video production. Tools like HeyGen, Sora, and Runway ML empower businesses to create high-quality, personalized video content without the need for extensive resources.

This shift is revolutionizing marketing through hyper-personalized videos, enhancing education with adaptive learning materials, and democratizing video production for smaller enterprises and individual creators.

Local Models Gaining Traction

For industries with stringent data security needs, local AI models offer a compelling solution by keeping data within organizational systems. Recognized models like Llama 1B and 3B enable secure, on-premise operations, making them ideal for sectors like healthcare, banking, and finance.

These models ensure compliance with regulations such as HIPAA while maintaining the power of AI-driven insights, positioning them as indispensable tools for sensitive industries.

Shaping AI with Regulation

Global efforts to regulate AI are redefining its development and deployment. The EU’s AI Act sets standards for transparency and ethical use, while the U.S. emphasizes innovation and accountability. Australia is also crafting governance frameworks to balance safety with progress.

By prioritizing user protection and fairness, these regulations aim to foster trust, ensuring AI serves societal needs responsibly.

Prioritizing Security

As AI becomes integral to business operations, security concerns take center stage. Practices like AI red teaming—stress-testing systems to identify vulnerabilities—are becoming essential for industries like finance and healthcare, where precision is critical.

Secure AI Frameworks (SAIF), developed by companies like Google, are enhancing resilience against adversarial threats, establishing best practices for robust model training and continuous monitoring.

Third-party solutions such as Guardrails AI add another layer of protection, ensuring AI outputs meet ethical standards and comply with regulations. These tools address unpredictability in LLMs, promoting safer and more reliable AI applications.

Closing Gaps in AI Adoption

While AI’s potential is undeniable, some businesses hesitate due to concerns about cost, reliability, and unclear returns on investment. Tailored solutions and clear use cases are key to overcoming these barriers, demonstrating how AI addresses real-world challenges.

Starting with small-scale pilot projects allows businesses to test AI’s capabilities, measure impact, and build confidence for broader implementation.

The Road Ahead: Pragmatic AI

2025 marks the rise of practical AI solutions. Advances in multimodal capabilities, enhanced security frameworks, and regulatory oversight are setting the stage for AI to become a dependable tool across industries.

As businesses embrace these innovations, AI’s transformative potential will drive efficiency, innovation, and customer engagement, shaping a future where artificial intelligence is not just an option but a necessity.


Thursday, December 5, 2024

Privacy Policy

 Who we are


Our website address: https://www.rating.community


"RATING COMMUNITY" is a registered non-profit organisation in Ukraine engaged in the creation of an independent platform that provides objective, comprehensive information about existing and new artificial intelligence tools. 


What personal data do we collect and why


Comments

When visitors leave comments on the site, we collect the data specified in the comment form, as well as the visitor's IP address and the user agent string for spam detection.


Media files

When uploading images to the site, you should avoid uploading images with embedded location data (EXIF GPS). Site visitors can download and extract any location data from images on the website.


Cookies

If you leave a comment on our site, you can allow your name, email address, and website to be stored in cookies. This is for your convenience so that you do not have to fill in the data again when writing your next comment. These cookies are stored for one year.


If you have an account on the site and you log in, we will set a temporary cookie to determine whether your browser supports cookies. This cookie does not contain personal data and is deleted when you close your browser.


When you log in, we also set several cookies to store information about your login and screen settings. Login cookies last for two days, and screen settings cookies last for one year.


Embedded content from other websites

Articles on this site may contain embedded content (e.g. videos, images, articles, etc.). Embedded content from other sites behaves in the same way as if the user were visiting the other site.


These websites may collect data about you, use cookies, embed additional third-party tracking, and monitor your interaction with this embedded content, including tracking your interaction with the embedded content if you have an account and are logged in to that site.


Who we share your data with

We do not sell, trade or transfer your personal data to third parties without your consent, except as required by law.


How long we keep your data

If you leave a comment, it and its metadata are stored indefinitely. This is so that we can automatically identify and approve subsequent comments instead of keeping them in a moderation queue.


For users who register on our website, we also store the personal information they provide in their profiles. All users can view, edit or delete their personal data at any time (except for their username, which they cannot change). Website administrators can also view and edit this information.


What rights do you have regarding your data?

If you have an account on this site or have left comments, you can request to receive an exported file of the personal data we hold about you, including any data you have provided to us. You can also request that we delete any personal data we hold about you. This does not include any data that we are required to retain for administrative, legal or security purposes.


Where we send your data

Visitor comments may be checked using an automated spam detection service.


How we protect your data

We use appropriate technical and organizational measures to protect your personal data from unauthorized access, use, disclosure, alteration or destruction.


Changes to this Privacy Policy

We may update our Privacy Policy from time to time. We recommend that you periodically review this page to be informed of the most up-to-date information about our privacy practices.


Contact Information

If you have any questions about this privacy policy, please contact us:


ai@rating.community


or by phone +38 (068) 653-93-89