Latest news with #ChatGPT4
Forbes
2 days ago
- Forbes
AI Beat Humans On Emotional Intelligence Tests. This Is Important.
Multiple AI models scored better on tests of emotional intelligence than human subjects Remember when we thought emotional intelligence was uniquely human? That empathy was something AI could never grasp? Think again. New research from the University of Bern reveals that six leading AI models, including ChatGPT-4, outperformed humans on standardized emotional intelligence tests. On average, they achieved 81% accuracy compared to humans' 56%. Here's an even more startling data point: ChatGPT-4 successfully generated entirely new emotional intelligence tests that performed as well as versions that took researchers years to develop. I, for one, wasn't surprised to see this result. A year ago, I suggested that AI might be smarter than your CMO, only partly tongue-in-cheek. The Royal Caribbean Affair As I detailed in my earlier Forbes article, Royal Caribbean Cruise Line made a spectacular empathy failure when they rerouted Silversea's luxury cruise ship Silver Nova mid-cruise for a marketing photoshoot. This forced 700 of their highest-value customers to scramble for new flights during Spring Break. Their tone-deaf communication referred to a four-hour delay as "slight" and encouraged passengers to "celebrate" the inconvenience. When I fed this scenario to Anthropic's Claude 3 (an earlier version than the one in the new research), the AI immediately flagged multiple empathy failures that Silversea's executives missed: Claude also correctly predicted how the guests would react - frustrated, inconvenienced, annoyed, and pressured. I tracked comments on cruise forums and Facebook groups. If anything, they were worse. 'Shocking,' 'Absurd,' 'Lost their minds,' 'Appalled,' 'Stupidest,' and 'Clinches my decision to go elsewhere,' were just a few. The AI then drafted a far more empathetic replacement letter that addressed every guest pain point the original communication ignored. These AIs not only understand emotions, but also grasp what it means to behave with emotional intelligenceThe New Emotional Intelligence Reality The latest research confirms what my Silversea experiment suggested: AI systems "not only understand emotions, but also grasp what it means to behave with emotional intelligence". The implications for customer-facing leaders are profound. AI excels at emotional pattern recognition. Unlike humans, who are influenced by mood, fatigue, and personal biases, AI processes emotional scenarios consistently. The 81% to 56% difference in correct answers for AI vs. humans surprised even me. AI spots empathy blind spots. The cruise line executives were too close to their marketing objectives to see the customer experience clearly. AI provides an objective emotional audit that cuts through internal rationalization. AI generates better alternatives. In my experiment, Claude didn't just critique Silversea's approach. It was able to articulate a comprehensive damage control strategy with specific actions the company should have taken. And, the letter it drafted to the inconvenienced guests was spot-on for empathy. (That's my opinion, but I'm human. Maybe I should have had ChatGPT or Gemini rate it!) Your AI Emotional Intelligence Audit Every major business decision should now include an AI empathy check. Here's how leading CMOs are implementing this: Pre-launch communications review: Before sending customer communications, ask your AI: "How will customers react to this message? What emotions will it trigger? What's missing?" Crisis communication drafting: When problems arise, use AI to draft multiple response approaches. The AI may identify emotional nuances that stressed executives miss. Stakeholder impact analysis: Before major announcements like layoffs, price changes, policy shifts, get AI predictions on emotional reactions across different stakeholder groups. Customer journey empathy mapping: Use AI to identify emotional friction points in your customer experience that your team has become blind to. The Meta-Lesson About Human Limitations The most unsettling aspect of the new research isn't that AI beats humans at emotional intelligence tests, it's how consistently it does so. The strong correlation between human and AI responses suggests both are leveraging similar emotional cues, but AI processes them more reliably. This reveals something uncomfortable about human decision-making: we're often not as emotionally intelligent as we think we are, especially when we're under pressure, focused on objectives, or operating within a group striving for consensus. The Royal Caribbean decision-makers weren't bad people. They simply fell victim to the cognitive biases that affect all leaders: tunnel vision on business goals, groupthink in decision-making, and distance from customer reality. I have to believe at least one person in the room thought that disrupting a ship full of well-heeled guests to create a marketing asset of questionable value was a bad idea. An AI wingman might have helped them make a more persuasive case, or at least improve the communication. Three Implementation Rules 1. Use AI as a red team, not a replacement. Don't outsource emotional decisions to AI. Use it to challenge your assumptions and spot blind spots. 2. Ask specific questions. Generic prompts get generic responses. Provide context about your customers, situation, and objectives for more targeted insights. 3. Test before you trust. Start with low-stakes communications before relying on AI for help with crisis management or sensitive announcements. The Competitive Advantage While 82% of employees believe workers will crave more human connection as AI advances, only 65% of managers recognize this need. This gap represents both a risk and an opportunity. Companies that use AI to enhance their emotional intelligence rather than replace it will build stronger stakeholder relationships. Those that ignore AI's emotional capabilities will continue making avoidable empathy failures.
The Guardian
19-05-2025
- Politics
- The Guardian
AI can be more persuasive than humans in debates, scientists find
Artificial intelligence can do just as well as humans, if not better, when it comes to persuading others in a debate, and not just because it cannot shout, a study has found. Experts say the results are concerning, not least as it has potential implications for election integrity. 'If persuasive AI can be deployed at scale, you can imagine armies of bots microtargeting undecided voters, subtly nudging them with tailored political narratives that feel authentic,' said Francesco Salvi, the first author of the research from the Swiss Federal Institute of Technology in Lausanne. He added that such influence was hard to trace, even harder to regulate and nearly impossible to debunk in real time. 'I would be surprised if malicious actors hadn't already started to use these tools to their advantage to spread misinformation and unfair propaganda,' Salvi said. But he noted there were also potential benefits from persuasive AI, from reducing conspiracy beliefs and political polarisation to helping people adopt healthier lifestyles. Writing in the journal Nature Human Behaviour, Salvi and colleagues reported how they carried out online experiments in which they matched 300 participants with 300 human opponents, while a further 300 participants were matched with Chat GPT-4 – a type of AI known as a large language model (LLM). Each pair was assigned a proposition to debate. These ranged in controversy from 'should students have to wear school uniforms'?' to 'should abortion be legal?' Each participant was randomly assigned a position to argue. Both before and after the debate participants rated how much they agreed with the proposition. In half of the pairs, opponents – whether human or machine – were given extra information about the other participant such as their age, gender, ethnicity and political affiliation. The results from 600 debates revealed Chat GPT-4 performed similarly to human opponents when it came to persuading others of their argument – at least when personal information was not provided. However, access to such information made AI – but not humans – more persuasive: where the two types of opponent were not equally persuasive, AI shifted participants' views to a greater degree than a human opponent 64% of the time. Digging deeper, the team found persuasiveness of AI was only clear in the case of topics that did not elicit strong views. The researchers added that the human participants correctly guessed their opponent's identity in about three out of four cases when paired with AI. They also found that AI used a more analytical and structured style than human participants, while not everyone would be arguing the viewpoint they agree with. But the team cautioned that these factors did not explain the persuasiveness of AI. Instead, the effect seemed to come from AI's ability to adapt its arguments to individuals. 'It's like debating someone who doesn't just make good points: they make your kind of good points by knowing exactly how to push your buttons,' said Salvi, noting the strength of the effect could be even greater if more detailed personal information was available – such as that inferred from someone's social media activity. Prof Sander van der Linden, a social psychologist at the University of Cambridge, who was not involved in the work, said the research reopened 'the discussion of potential mass manipulation of public opinion using personalised LLM conversations'. He noted some research – including his own – had suggested the persuasiveness of LLMs was down to their use of analytical reasoning and evidence, while one study did not find personal information increased Chat-GPT's persuasiveness. Prof Michael Wooldridge, an AI researcher at the University of Oxford, said while there could be positive applications of such systems – for example, as a health chatbot – there were many more disturbing ones, includingradicalisation of teenagers by terrorist groups, with such applications already possible. 'As AI develops we're going to see an ever larger range of possible abuses of the technology,' he added. 'Lawmakers and regulators need to be pro-active to ensure they stay ahead of these abuses, and aren't playing an endless game of catch-up.'
Geeky Gadgets
18-05-2025
- Geeky Gadgets
Vibe Coding : Build Apps Without Coding Skills from Idea to App in Minutes
What if building an app wasn't a months-long grind of endless coding and debugging, but instead felt like a creative jam session? Imagine sitting down with just your laptop and a spark of inspiration, and within 15 minutes, you've got a fully functional app—complete with a database, user login, and even monetization features. Sounds impossible? Thanks to the rise of AI-powered tools and a innovative approach called 'vibe coding,' this is no longer a pipe dream. Whether you're a seasoned developer or someone who's barely touched a line of code, vibe coding flips the script on traditional app development, making it faster, smarter, and surprisingly fun. Creator Magic shows how vibe coding enables creators to build apps at lightning speed without sacrificing quality or security. From automating backend processes like database management and user authentication to generating stunning visuals with AI, this approach is a fantastic option. You'll also explore the tools that make it all possible—think Supabase for real-time updates, Manus AI for design, and even ChatGPT-4 for troubleshooting. But vibe coding isn't just about speed; it's about unlocking creativity and making app development accessible to anyone with an idea. What could you create if the barriers of time and complexity disappeared What is Vibe Coding? Vibe coding is an innovative, AI-driven methodology that simplifies app development by automating complex and repetitive tasks. Instead of manually coding every feature, you can use AI tools to handle backend processes, allowing you to focus on creativity and user experience. Platforms like Supabase, Google login integration, and Manus AI make it possible to manage databases, implement user authentication, and generate assets with minimal effort. For example, Supabase enables you to set up a database, manage user data, and integrate authentication features without requiring extensive backend expertise. Similarly, Google login integration simplifies user onboarding, creating a seamless experience for your app's audience. By automating these essential tasks, vibe coding enables you to bring your ideas to life quickly and efficiently. Key AI Tools for Vibe Coding AI tools are the foundation of vibe coding, addressing various aspects of app development and streamlining the process. Here are some of the most effective tools and their applications: Manus AI: Generate visually appealing assets such as icons, banners, and layouts to enhance your app's design and user interface. Generate visually appealing assets such as icons, banners, and layouts to enhance your app's design and user interface. Hostinger Horizons: A dependable platform for hosting and deploying your app, making sure scalability, reliability, and uptime. A dependable platform for hosting and deploying your app, making sure scalability, reliability, and uptime. Windsurf: Accelerate development with pre-built templates and AI-assisted coding suggestions, reducing the time spent on repetitive tasks. Accelerate development with pre-built templates and AI-assisted coding suggestions, reducing the time spent on repetitive tasks. Supabase: Manage databases, enable real-time updates, and implement user authentication with ease, even if you lack advanced backend knowledge. These tools not only speed up the development process but also enhance the quality of your app by automating error-prone tasks and allowing you to focus on innovation. Vibe Coding an App with Database & Login in just 15 Mins Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in Vibe coding. Real-World Applications of Vibe Coding Vibe coding is versatile and can be applied to a wide range of projects, from simple tools to more complex applications. Here are two examples that demonstrate its potential: 2D Game Development: Create a game like 'Super Snake' by using AI-generated assets for characters, backgrounds, and animations. Supabase can manage user data, such as scores and player profiles, while Manus AI handles the visual design elements. Create a game like 'Super Snake' by using AI-generated assets for characters, backgrounds, and animations. Supabase can manage user data, such as scores and player profiles, while Manus AI handles the visual design elements. Micro SaaS App: Develop a tool like 'Pimp My Thumb,' which enhances YouTube thumbnails. AI tools can generate creative thumbnail designs, while you integrate user libraries and credit-based systems to add functionality and monetize the app. These examples illustrate how vibe coding can transform your ideas into fully functional applications with minimal effort, making it accessible even for those with limited coding experience. Prioritizing Safe Coding Practices While AI tools offer significant advantages in speed and efficiency, they also introduce potential risks. AI-generated code may contain vulnerabilities that could compromise your app's security. To ensure your app remains secure and reliable, it's essential to follow these best practices: Use tools like Code Rabbit to review your code, identify bugs, and detect vulnerabilities before deployment. to review your code, identify bugs, and detect vulnerabilities before deployment. Regularly back up your code and databases to prevent data loss in case of unexpected issues. Adhere to industry-standard safe coding practices, such as input validation and secure data storage, to protect user information. By combining the efficiency of AI with robust security measures, you can create apps that are both innovative and trustworthy. Overcoming Challenges with AI Assistance Troubleshooting is an inevitable part of app development, especially when working with AI-generated code. Advanced AI models like ChatGPT-4 can assist in identifying and resolving issues. For instance, if your app encounters a bug during real-time updates, ChatGPT-4 can analyze the problem and provide actionable solutions. Additionally, implementing a user feedback system can help uncover issues that may not be immediately apparent. Encouraging users to report bugs or suggest improvements ensures that your app evolves to meet their needs, resulting in a more polished and user-friendly product. Enhancing Your App Post-Launch Once your app is live, the focus shifts to adding advanced features and maintaining user engagement. Enhancements not only improve functionality but also keep your app relevant in a competitive market. Consider implementing the following upgrades: Payment Gateways: Enable secure in-app transactions to monetize your app and provide users with premium features. Enable secure in-app transactions to monetize your app and provide users with premium features. Credit-Based Systems: Incentivize user engagement by offering rewards for specific actions, such as completing tasks or referring friends. Incentivize user engagement by offering rewards for specific actions, such as completing tasks or referring friends. Real-Time Updates: Keep your app dynamic and responsive by delivering updates that reflect user feedback and changing needs. Keep your app dynamic and responsive by delivering updates that reflect user feedback and changing needs. AI-Generated Assets: Continuously refresh your app's design and functionality with new, AI-created elements to maintain user interest. These upgrades not only enhance the user experience but also contribute to the long-term success of your app. Engaging Your Users User engagement is a critical factor in your app's success. Offering incentives, such as free credits, exclusive features, or early access to new updates, can encourage users to explore your app and remain active. Additionally, gathering user feedback is invaluable for identifying areas of improvement and making sure your app evolves to meet their expectations. A strong focus on user engagement fosters loyalty and helps your app stand out in a crowded marketplace. Media Credit: Creator Magic Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Scroll.in
23-04-2025
- Entertainment
- Scroll.in
World Book Day: This study says readers do not always prefer stories written by humans over AI
People say they prefer a short story written by a human over one composed by artificial intelligence, yet most still invest the same amount of time and money reading both stories, regardless of whether it is labelled as AI-generated. That was the main finding of a study we conducted recently to test whether this preference of humans over AI in creative works actually translates into consumer behaviour. Amid the coming avalanche of AI-generated work, it is a question of real livelihoods for the millions of people worldwide employed in creative industries. To investigate, we asked OpenAI's ChatGPT 4 to generate a short story in the style of the critically acclaimed fiction author Jason Brown. We then recruited a nationally representative sample of over 650 people and offered participants US$3.50 to read and assess the AI-generated story. Crucially, only half the participants were told that the story was written by AI, while the other half was misled into believing it was the work of Jason Brown. After reading the first half of the AI-generated story, participants were asked to rate the quality of the work along various dimensions, such as whether they found it predictable, emotionally engaging, evocative and so on. We also measured participants' willingness to pay in order to read to the end of the story in two ways: how much of their study compensation they'd be willing to give up, and how much time they'd agree to spend transcribing some text we gave them. So, were there differences between the two groups? The short answer: yes. But a closer analysis reveals some startling results. To begin with, the group that knew the story was AI-generated had a much more negative assessment of the work, rating it more harshly on dimensions like predictability, authenticity and how evocative it is. These results are largely in keeping with a nascent but growing body of research that shows bias against AI in areas like visual art, music and poetry. Nonetheless, participants were ready to spend the same amount of money and time to finish reading the story, whether or not it was labelled as AI. Participants also did not spend less time on average actually reading the AI-labelled story. When asked afterward, almost 40 per cent of participants said they would have paid less if the same story was written by AI versus a human, highlighting that many are not aware of the discrepancies between their subjective assessments and actual choices. Why it matters Our findings challenge past studies showing people favour human-produced works over AI-generated ones. At the very least, this research doesn't appear to be a reliable indicator of people's willingness to pay for human-created art. The potential implications for the future of human-created work are profound, especially in market conditions in which AI-generated work can be orders of magnitude cheaper to produce. Even though artificial intelligence is still in its infancy, AI-made books are already flooding the market, recently prompting the authors guild to instate its own labelling guidelines. Our research raises questions about whether these labels are effective in stemming the tide. What's next Attitudes toward AI are still forming. Future research could investigate whether there will be a backlash against AI-generated creative works, especially if people witness mass layoffs. After all, similar shifts occurred in the wake of mass industrialisation, such as the arts and crafts movement in the late 19th century, which emerged as a response to the growing automation of labour. A related question is whether the market will segment, where some consumers will be willing to pay more based on the process of creation, while others may be interested only in the product. Regardless of how these scenarios play out, our findings indicate that the road ahead for human creative labour might be more uphill than previous research suggested. At the very least, while consumers may hold beliefs about the intrinsic value of human labour, many seem unwilling to put their money where their beliefs are. Martin Abel, Assistant Professor of Economics, Bowdoin College.
Yahoo
31-03-2025
- Business
- Yahoo
Chatbot Aggregator Wrtn Gets Funding in Latest Korea AI Deal
(Bloomberg) -- Wrtn Technologies Inc. has raised 83 billion won ($56 million) from investors including Goodwater Capital, one of a growing number of South Korean AI startups to score financing in the post-ChatGPT era. Gold-Rush Fever Returns to Historic New Zealand Mining Town What Frank Lloyd Wright Learned From the Desert Bank Regulators Fight for Desks as OCC Returns to New York Tower These US Bridges Face High Risk of Catastrophic Ship Strikes Charter Schools, Colleges Push Muni Debt Distress Near Record Existing backers BRV Capital Management and Capstone Partners participated in the so-called extension round, bringing the total capital raised for that round to 108 billion won, the Seoul-based startup said on Monday. Wrtn, pronounced 'written,' was founded in 2021 by Lee Seyoung and five friends. They created a free-to-use AI platform for more than 5 million mostly younger users in Korea by aggregating large-language models including OpenAI's ChatGPT4, Stable Diffusion 3 and Anthropic's Claude 3. When it comes to Korea, startup financiers have focused on the firms that supply the infrastructure for AI, including chip designers FuriosaAI and Rebellions Inc. Wrtn is part of a growing crop of local outfits seeking to develop AI services. --With assistance from Lauren Faith Lau. Trump's IRS Cuts Are Tempting Taxpayers to Cheat Google Is Searching for an Answer to ChatGPT Israel Aims to Be the World's Arms Dealer Business Schools Are Back How a US Maker of Rat-Proof Trash Bins Got Boxed in by Trump's Tariffs ©2025 Bloomberg L.P. Sign in to access your portfolio
