Latest news with #feedbackloop
Sustainability Times
2 days ago
- Science
- Sustainability Times
"This Could Trigger Global Chaos": Melting Ice in Antarctica May Unleash a Volcanic Hell No One Is Ready For
IN A NUTSHELL 🌋 Melting glaciers due to climate change may trigger increased volcanic activity, creating a feedback loop with global implications. due to climate change may trigger increased volcanic activity, creating a feedback loop with global implications. 🔍 Studies on Chilean volcanoes reveal that retreating ice sheets reduce pressure on magma chambers, potentially leading to explosive eruptions. 🌎 Potential hotspots for increased volcanic activity include regions in Antarctica , North America, New Zealand, and Russia, necessitating closer scientific monitoring. , North America, New Zealand, and Russia, necessitating closer scientific monitoring. 🌡️ While volcanic eruptions can temporarily cool the planet, the cumulative effect of multiple eruptions could contribute to long-term global warming. As the Earth's climate continues to warm, a new and intriguing consequence is emerging: the potential for increased volcanic activity as glaciers melt. Recent studies have brought to light the intricate relationship between retreating glaciers and volcanic eruptions, particularly in regions like Chile and Antarctica. This phenomenon underscores a complex feedback loop where climate change-induced ice loss may trigger volcanic activities, which in turn, could accelerate climate change. Understanding these dynamics not only deepens our comprehension of Earth's systems but also highlights the urgent need for monitoring and mitigation strategies. Glacier Retreat Fuels Future Eruptions The retreat of glaciers worldwide is setting the stage for potentially powerful and frequent volcanic eruptions. A groundbreaking study on six Chilean volcanoes suggests that the loss of glacial cover due to climate change could awaken dormant volcanoes, especially in regions like Antarctica. This research, presented at the Goldschmidt Conference, emphasizes a growing scientific concern: as glaciers recede, volcanoes once sealed under thick ice could erupt more frequently and explosively. This connection between glacial retreat and volcanic activity, studied extensively in Iceland, is now gaining attention in continental regions. As glaciers melt, they remove the immense pressure they once exerted on the Earth's crust. This reduction in pressure allows gases within magma chambers to expand, increasing the likelihood of eruptions. The findings suggest that glaciated volcanic regions might experience heightened volcanic activity, contributing to a feedback loop of climate change and eruptions. Such interactions could have far-reaching implications for global climate patterns, necessitating closer scientific scrutiny. 'It's Like a Tesla You Can Live In!': LOVT Unveils Futuristic Tiny House That's Modular, Eco-Friendly, and Ready to Disrupt Everything Andes Study Reveals Hidden Magma Clues Researchers from the University of Wisconsin–Madison, alongside colleagues from Lehigh University, UCLA, and Dickinson College, conducted an in-depth study of six volcanoes in southern Chile. Their focus included the dormant Mocho-Choshuenco volcano, where they applied advanced techniques such as argon dating and crystal analysis. These methods allowed them to investigate the impact of the Patagonian Ice Sheet's shifts on volcanic behavior over thousands of years. During the last ice age, thick ice sheets exerted significant pressure on volcanic regions, suppressing eruptions by preventing magma from reaching the surface. Beneath this icy cover, reservoirs of silica-rich magma accumulated at depths of 6 to 9 miles. As the glaciers melted, the pressure dropped, enabling gases in the magma to expand and potentially trigger explosive eruptions. The researchers believe that this process is currently unfolding as modern glaciers retreat, highlighting the importance of understanding these dynamics. 'They're Melting Living Flesh in Hours': Scientists Horrified as Swarm of Flesh-Eating Flies Begins Rapid Takeover of U.S. Ice Loss Triggers Explosive Reservoir The rapid melting of ice sheets at the end of the last ice age resulted in significant geological changes. As the weight of the glaciers diminished, the Earth's crust relaxed, allowing gases within magma to expand. This expansion led to explosive volcanic eruptions from deep magma reservoirs. Pablo Moreno-Yaeger from the University of Wisconsin-Madison presented these findings at the Goldschmidt Conference, noting the critical role of thick glacial coverage in suppressing volcanic activity. Moreno-Yaeger emphasized that as glaciers retreat due to climate change, volcanoes beneath them may erupt more frequently and explosively. This phenomenon is not limited to Iceland but could also occur in Antarctica and other continental regions. The potential for increased volcanic activity in these areas underscores the need for ongoing monitoring and study, as eruptions could have significant climatic impacts. 'They're Erasing Us From the Timeline': Scientists Furious as the Human Epoch Is Denied Official Status Despite Clear Start Date Global Hotspots & Climate Feedback This study suggests that increased volcanic activity due to glacial melting could have global climate implications. Though volcanic eruptions can temporarily cool the planet by releasing aerosols, the cumulative effect of multiple eruptions may contribute to long-term global warming due to greenhouse gas emissions. The 1991 eruption of Mount Pinatubo, which cooled global temperatures by approximately 0.9 degrees Fahrenheit, exemplifies the short-term cooling effect. The researchers caution that while the volcanic response to glacial melting is immediate in geological terms, changes in magma systems occur over centuries. This gradual process provides an opportunity for monitoring and early warning systems. However, as glaciers continue to retreat, the potential for increased volcanic activity and its impact on climate change remains a pressing concern. This underscores the importance of continued research and international cooperation to address these emerging challenges. The intricate relationship between glacial retreat and volcanic activity presents significant challenges and opportunities for scientific research. As glaciers continue to melt, understanding the potential for increased volcanic eruptions becomes crucial for predicting and mitigating the impacts on global climate systems. This dynamic interplay raises important questions about our planet's future: How can we best monitor and respond to these changes to protect our environment and communities? The answers may hold the key to navigating an uncertain climatic future. This article is based on verified sources and supported by editorial technologies. Did you like it? 4.3/5 (21)
Forbes
5 days ago
- Business
- Forbes
Meta's Reminder: The Feedback Loop Is The Real AI Advantage
Michael Malyuk, CEO & CoFounder @ HumanSignal. Meta's investment in Scale makes one thing clear: in the era of foundation models, owning a high-fidelity data supply is the new strategic moat. But you don't need to be Meta, or spend billions, to drive your AI strategy forward. Most companies are racing to adopt LLMs. Few are investing in what actually makes them work: the feedback loop. That loop isn't built by another API. It's built by your people, how they think, how they decide, and how that judgment gets captured and turned into data. If you're serious about deploying AI across your organization, you need your own internal Scale AI—not to label street signs, but to extract the intelligence already inside your company and operationalize it consistently, repeatably, at scale. Operationalizing Human Intelligence Is The New Moat Foundation models have commoditized baseline intelligence, everyone has access to GPT-4, Claude or Gemini. What separates organizations isn't just access to large models or cloud infrastructure, it's what they layer on top: proprietary, validated signal from real decisions, real workflows, real experts. Your most valuable data isn't scraped from the web or connected database. It's embedded in how your teams interpret inputs, manage edge cases, make decisions and escalate issues. And the companies that win aren't just using AI, they're feeding it signal no one else has. What Meta Gets Right Meta's investment in Scale is about vertical integration. Rather than relying on third parties, they're bringing data generation and evaluation in-house, tightening the loop between data, model development and product delivery. This move reflects an understanding that model performance is inseparable from the quality and specificity of the data feeding it or humans evaluating it. And as AI agents become more autonomous and embedded in decision-making, the bar for validation, control and domain-specific accuracy only rises. Most companies can't (and shouldn't) try to replicate Meta's investment dollar for dollar. But the strategy is sound. Enterprises need a data supply chain that they can trust, explain and repeat. That means building an internal "Scale AI"—a focused engine for generating and managing ground truth. Blueprint: Building Your Internal Scale AI You don't need a billion-dollar budget to start. But you do need to think intentionally about people, process and tooling. Reliable AI, whether predictive, generative or agentic, requires human intelligence. That doesn't just mean hiring more annotators, it means dedicating program managers and leads who understand model lifecycles, edge cases and how human input impacts business outcomes. These are the stewards of your internal ground truth engine. These teams should: • Design and oversee human-in-the-loop (HITL) evaluation workflows. • Manage vendor relationships or outsourced labeling if applicable. • Coordinate feedback from subject matter experts into structured pipelines. Labeling and evaluation shouldn't happen ad hoc. Leading organizations treat it as a core function of model development: • Use HITL evaluation to identify edge cases, failure modes and hallucinations. • Build escalation paths that mirror real-world workflows. • Use human feedback not just for training, but to continuously audit and improve models in production, creating ground truth test sets for evaluation. And, to be meta, you can use AI to scale this process. ML models can help triage tasks, pre-label data with common patterns and route complex decisions to humans. Enterprises with a multitude of business units and AI initiatives benefit from centralizing data insights and governance. Choose a platform that supports multi-modal data formats, model integrations and highly customized interfaces and workflows. The process and platform should support: • End-to-end management of labeling, review and evaluation tasks and configurable workflow • Real-time insights into quality and performance • Integration with model pipelines for AI-assisted labeling and auto-validation and QA • Role-based workflows for data privacy, compliance and auditability, whether you're using internal annotators, service providers or both The final (and often missing) piece is tying this investment in ground truth to tangible KPIs: • How much faster can models be deployed? • How much has prediction quality improved? • How many escalations or compliance risks were caught in the loop? When you tie high-fidelity data to business metrics, the ROI becomes clear. The cost of labeling is minor compared to the cost of bad decisions from unvalidated models. From Model Access To Model Advantage You don't need to be Meta to build a data advantage, but you do need to get serious about ground truth operations. The next generation of enterp rise AI systems will rely on a feedback loop that captures proprietary knowledge, evaluates agentic behavior and delivers measurable impact. Start with your people. They have intelligence and domain expertise. Your job is to turn it into fuel. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
Forbes
10-07-2025
- Forbes
5 ChatGPT Prompts To Go From Beginner To Advanced At Prompting
using chatgpt prompts to help in business Artificial intelligence has become a tool in business, education, and personal productivity—but for many, the true power of ChatGPT remains untapped. The quality of what you get from ChatGPT is directly tied to the quality of what you put in. Better prompts equal better results. If you've only scratched the surface of ChatGPT by asking it to "write an email" or "summarize this text," you're missing out on its deeper potential. The difference between basic and advanced ChatGPT users isn't technical knowledge—it's knowing how to communicate effectively with AI. Here are five ChatGPT prompts designed to take you from beginner to advanced, teaching you to think like a power user and get nuanced, creative, and highly actionable outputs. 1. The ChatGPT Feedback Loop Prompt: Iterate For Better Results Most people stop after ChatGPT's first response—but experienced users know the first draft is rarely the best. Advanced prompting involves learning to guide ChatGPT toward the desired outcome. Sample prompt: "That's a good start, but I'd like the tone to be more conversational, with shorter sentences and one relevant anecdote. Can you rewrite it with those changes?" How to use it: After receiving ChatGPT's initial response, identify what specific changes you want—tone, length, structure, or style. Be specific about adjustments rather than saying "make it better." This teaches ChatGPT your preferences and improves subsequent responses. ChatGPT learns from your feedback in session and adjusts accordingly. This "feedback loop" mirrors how you might give notes to a human writer. Over time, you'll become more adept at identifying what works for your needs. You can also ask ChatGPT for clarification: "What else do you need to know from me to refine this draft?" 2. The ChatGPT Role-Playing Prompt: Unlock Expert Perspectives One of ChatGPT's features is its ability to simulate expertise. Instead of asking a generic question, you can prompt ChatGPT to step into a specific role. By doing this you are able to get more tailored insights. Sample prompt: "Act as a career coach with 20 years of experience in the tech industry. What steps would you recommend for someone who wants to pivot from marketing to data science? Include specific timeline, required skills, and potential obstacles." How to use it: Choose a role that matches the expertise you need—lawyer, teacher, hiring manager, fitness trainer, or even historical figures. Get specific about their background and experience level. The more detailed you make the role, the more focused the advice becomes. This approach is beneficial for brainstorming or when you're looking for advice from a certain point of view. You can layer roles for more specific expertise: "Act as a TED Talk speaker and AI ethics professor. Write a 2-minute speech explaining the risks of bias in AI." 3. The ChatGPT Step-By-Step Prompt: Deconstruct Complex Tasks When faced with a big challenge—like writing a business plan or planning a marketing campaign—it's easy to feel overwhelmed. Advanced ChatGPT users know how to break down complexity into clear, actionable steps. Sample prompt: "Break down the process of writing a grant proposal into five clear, actionable steps. For each step, include the main objective, required resources, and estimated time to complete. Then help me draft the first section." How to use it: This approach applies to any complex project, whether launching a business, planning an event, or learning a new skill. Instead of asking for a complete deliverable all at once, you teach ChatGPT to act like a guide, helping you tackle one part at a time. This is particularly helpful when you don't know where to start or when you want to ensure you haven't missed any steps. You can even ask ChatGPT to quiz you on each step: "Test my understanding of step three by asking me three questions about it." 4. The ChatGPT Contrarian Prompt: Explore Alternate Perspectives Many people fall into the trap of only asking ChatGPT to validate their assumptions, but great decision-making often requires seeing both sides. Challenge yourself and ChatGPT with a contrarian prompt. Sample prompt: "Many people think remote work improves productivity. Make the strongest case for why remote work hurts productivity, citing evidence where possible. Include at least three specific drawbacks with supporting research." How to use it: Take a position you believe in and ask ChatGPT to argue against it. This forces you to consider counterarguments and strengthens your understanding of the topic. Be specific about wanting evidence or examples to make the opposing case more compelling. By deliberately asking ChatGPT to take the opposing position, you gain a fuller understanding of the issue and avoid potential blind spots. This is especially valuable for entrepreneurs, managers, and students writing persuasive essays or making strategic decisions. Advanced users take it a step further by asking ChatGPT to debate itself: "Present both the strongest argument for and against universal basic income, then summarize the most compelling points from each side." 5. The ChatGPT Format-Specific Prompt: Output Exactly What You Need Generic requests often yield generic results. Knowing how to specify output formats will save time and enhance usability. Sample prompt: "Summarize this research article into a five-slide PowerPoint outline with a title slide, bullet points for each slide, and one key takeaway per slide. Include suggested visuals for each slide." How to use it: Before asking your question, decide exactly what format you need the answer in—table, checklist, email draft, press release, lesson plan, or script. Specify the number of items, sections, or slides you want. This reduces editing time and gives you something immediately usable. ChatGPT is capable of producing outputs in many forms. When you tell it the format you want, you reduce post-editing and get a result you can use immediately. You can combine formats: "Create a three-column table comparing the pros, cons, and examples of different project management methodologies, with five rows total." Mastering ChatGPT Is About Mastering Clarity As artificial intelligence becomes more prevalent in professional settings, the ability to craft effective prompts will become a valuable skill across industries. The professionals who master AI communication today will have a significant advantage tomorrow. The goal isn't to outsource your thinking to ChatGPT, but to use it as a powerful thinking partner that amplifies your own creativity and problem-solving abilities. Remember, ChatGPT is only as good as your ability to guide it—and these techniques will help you unlock its full potential for any project, decision, or creative challenge you face.
Forbes
08-05-2025
- Science
- Forbes
A Symbiotic Dance: Navigating Loops Of Artificial And Natural Perception
Everything is connected. The interplay of AI and NI is influencing what we aspire to, how we feel, ... More what we think and how we perceive our environment - which in turn influences how we interact with it, and ourselves. The relationship between Artificial Intelligence and Natural Intelligence is rapidly evolving, moving beyond simple tool-use to a complex interplay that shapes the very fabric of human experience. This interaction operates across the four fundamental dimensions of human life – our aspirations, emotions, thoughts, and sensations/behavior – creating either a virtuous cycle of mutual enhancement or a vicious descent into cognitive and experiential distortion. Understanding this dynamic is crucial as AI becomes increasingly integrated into our daily lives, influencing everything from how we process information to how we perceive reality itself. At the heart of this relationship lies a feedback loop. AI is developed by human intelligence, trained on data generated by human activity, and designed to augment or replicate human capabilities. In turn, this AI influences human behavior, cognition, and even our internal states, which then generates new data and new possibilities for AI development. This continuous cycle can either elevate human potential and well-being (virtuous) or degrade them (vicious). Let's explore this feedback loop, which is the cause and consequence of a multitude of separate but interconnected cycles. Our relationship with AI has different implications depending on the aspect of our being that we focus on. In the following, we look at each of the four dimensions that shape our experiences and expressions as humans: aspirations, emotions, thoughts and sensations. AI can be a powerful engine for realizing human aspirations. It can automate tedious tasks, provide insights from vast datasets, unlock new avenues for creativity, and even help personalize learning and development, enabling individuals to pursue their goals more effectively. Consider how AI tools are used in scientific research to accelerate discoveries or in creative industries to generate novel ideas and content. This forms a virtuous cycle where AI empowers humans to achieve more, leading to higher aspirations and further innovation in AI. However, a vicious cycle can emerge if AI narrows our aspirations by making us overly reliant on automated solutions, discouraging effortful pursuits, or if AI systems are designed to manipulate our desires for commercial or other interests. If the ease of AI-driven task completion leads to a decline in the pursuit of challenging goals requiring deep human engagement, as discussed in the context of AI's impact on cognition and the workplace and potential cognitive atrophy, our collective aspirations may inadvertently shrink. AI's potential to stifle creativity by recycling existing knowledge also poses a risk to the pursuit of novel aspirations AI's impact on human emotions is multifaceted. AI-powered systems can analyze emotional states through facial recognition, voice analysis, and text sentiment, potentially offering personalized support or tailoring interactions. AI companions and chatbots are being developed that aim to provide emotional support, and research suggests that while AI can generate responses that make people feel heard, the perception of whether the response comes from a human or AI significantly impacts the emotional resonance. This could lead to a virtuous cycle where AI provides timely support and understanding, enhancing emotional well-being. Conversely, a vicious cycle can arise if over-reliance on AI for emotional connection diminishes genuine human interaction, leading to feelings of isolation, or if AI is used to manipulate emotions for persuasive purposes, eroding trust and authenticity in communication. The accelerating development of "emotion AI" highlights both the potential for therapeutic applications and the risks of misuse. The idea that perceiving AI as conscious can have carry-over effects on human-human interaction also touches upon the emotional dimension of this relationship. The realm of human thought is perhaps where the AI/NI cycle is most immediately apparent. AI, particularly generative AI, is fundamentally reshaping how we interact with information, learn, reason, and make decisions. AI can serve as a powerful tool for critical thinking, providing access to diverse perspectives and analyzing complex data. Collaborative problem-solving between humans and AI can outperform either alone, especially in tasks requiring both data analysis and human judgment. This can foster a virtuous cycle where AI augments human cognitive abilities, leading to deeper understanding and more effective problem-solving. However, a significant risk lies in the potential for cognitive offloading, where individuals delegate complex thinking tasks to AI, potentially leading to a decline in critical thinking skills and an over-reliance on AI outputs, even when they are flawed or biased. The ease of generating content with AI may also stifle creativity if it leads to the recycling of existing patterns rather than the generation of truly novel ideas. A particularly concerning aspect of AI's influence on thought is its capacity to distort memory and perception. Recent studies have demonstrated that exposure to AI-edited images and videos can implant false memories, leading individuals to confidently recall events or details that never actually occurred. The effect is particularly strong with AI-generated videos of AI-edited images, significantly increasing both the number and confidence level of false recollections compared to viewing unedited images. This highlights another vicious cycle where AI-altered realities can directly corrupt our personal histories and understanding of events, making it difficult to distinguish between authentic experiences and synthetic ones. While creating fully false memories might be harder than some earlier studies suggested, the ability of AI to introduce specific false details into existing memories remains a significant concern. This has dramatic implications for legal proceedings, the spread of misinformation, and our ability to trust our own recollections AI influences our sensations and behavior through interfaces, recommendations, and automation. From personalized content feeds that cater to our preferences to autonomous systems that perform physical tasks, AI is increasingly mediating our interaction with the world. AI-powered systems can analyze behavioral patterns to predict actions or tailor experiences, potentially leading to more efficient or engaging interactions. This can contribute to a virtuous cycle where AI enhances our capabilities and experiences, leading to more effective and fulfilling behaviors. However, a vicious cycle can develop if AI-driven systems are designed to exploit our sensory and behavioral vulnerabilities, leading to addictive interfaces, filter bubbles that limit exposure to diverse perspectives, or the erosion of privacy through constant surveillance and data collection. The convenience offered by AI can also lead to a decline in physical activity or the development of new forms of dependency, as discussed in the context of AI's impact on our brains and behaviors. The potential for AI to influence our moment-to-moment sensations and subsequent actions, often without conscious awareness of the AI's role, presents a subtle but powerful vector for shaping human behavior. The interplay across these dimensions forms interconnected cycles. For example, AI-driven manipulation of emotions (vicious emotional cycle) can influence our thoughts and lead to the formation of false beliefs or memories (vicious cognitive cycle), which in turn can alter our aspirations and behaviors. Conversely, using AI tools to enhance critical thinking and creativity (virtuous cognitive cycle) can lead to the pursuit of more ambitious goals (virtuous aspirational cycle), fostering positive emotions and more engaged behaviors. Navigating this complex landscape requires intentionality. To protect our "real" perspective and perception in the age of ubiquitous AI, consider these four practical takeaways: Be acutely aware that digital content, especially images and videos, can be easily and convincingly altered by AI. Develop healthy skepticism towards sensational or emotionally charged visuals encountered online. Learn to recognize potential signs of AI manipulation, cross-reference information from multiple trusted sources, and be wary of content that seems too perfect or aligns too neatly with existing biases. Understand that even seemingly minor AI edits can influence memory and perception over time. While AI can offer forms of interaction and support, it lacks genuine consciousness and emotional depth. Actively invest time and energy in face-to-face interactions, build strong relationships, and seek emotional support from other humans. Recognize that the nuances of human empathy and understanding are irreplaceable for true emotional well-being and a grounded sense of reality Resist the urge to delegate all challenging mental tasks to AI. Actively practice critical thinking, problem-solving, and creative generation without AI assistance. Engage in activities that require focused attention and deep processing to maintain cognitive fitness and avoid the pitfalls of cognitive offloading. Use AI as a tool to augment, not replace, your own intellectual efforts. Be conscious of how AI-driven platforms and content feeds are designed to capture your attention and influence your behavior. Regularly evaluate the time spent on digital media and its impact on your emotions, thoughts, and overall well-being. Actively seek out diverse perspectives and content that challenge your existing views. Configure privacy settings and be mindful of the data you share, understanding that this data fuels the AI systems that shape your digital experience. The interplay between our artificial and natural intelligences presents both opportunities and significant challenges. By understanding the potential for both virtuous and vicious cycles across the dimensions of our aspirations, emotions, thoughts, and sensations/behavior, and by adopting proactive strategies to safeguard our perception and cognitive autonomy, we can strive to ensure that AI serves as a tool to enhance, rather than erode, the richness of the human experience.
