Fulcra Dynamics

We loved sharing what we're building at Fulcra Dynamics with Fast Company's Steven Melendez, and we're thrilled to share it with the world. Fulcra's app Context is available in the Apple App Store now!

?? Can AI ever be truly unbiased? Every dataset has a human author—just like a textbook. That means AI isn’t neutral; it inherits the choices, perspectives, and biases of its creators. So the real question isn’t whether AI is biased, but whose bias it reflects. ?? Listen to the full episode of The Augmented Life by Fulcra here: ?? https://lnkd.in/e2Sg3rpF #TheAugmentedLife #Fulcra #AI #BiasInAI #MachineLearning #DataScience #EthicalAI #FutureOfTech

In human relationships, trust isn’t built overnight—it evolves through communication, consistency, and, most importantly, the ability to change one’s mind. The same principle applies to our relationship with artificial intelligence, especially when it comes to granting AI access to our private data. The Two-Way Street of Trust For AI to be truly useful, it needs access to data—whether for personalizing health insights, optimizing productivity, or enhancing everyday decision-making. However, access should never be a one-time, irreversible decision. Trustworthy systems must offer individuals the ability to revoke permissions, just as they granted them in the first place. Think about relationships in our personal and professional lives. If trust is to be sustained, both parties must have agency—the ability to set boundaries, reassess agreements, and withdraw consent when necessary. The same principle applies to AI: trust is not about blind faith but about continuous, controlled participation. The Right to Revoke In a world increasingly driven by AI, data sovereignty means having the power to not only grant access but also take it back. Without this fundamental right, trust in AI systems becomes fragile. A system that lacks revocation mechanisms forces users into an all-or-nothing decision—an approach that can erode confidence over time. The ability to change your mind fosters a sense of security. It encourages more people to engage with AI, knowing they are not locked into a permanent decision. This dynamic permission model is not just an ethical necessity—it’s a prerequisite for long-term adoption and responsible AI development. Building AI for Trust and Flexibility The future of AI depends on building trust-first systems where individuals maintain control. Transparency, user-friendly revocation mechanisms, and clear consent frameworks will define the next wave of ethical AI development. At Fulcra Dynamics, we believe data sovereignty isn’t just a feature—it’s a philosophy. Our platform is designed with the principle that access is dynamic, not static. We empower users to track, analyze, and share their data on their own terms, with the ability to change permissions as their needs evolve. The Bottom Line Trust isn’t about rigid commitments—it’s about adaptability. Whether in human relationships or AI ecosystems, the ability to change your mind is what makes trust sustainable. What do you think? Should AI systems always include revocable access as a standard feature?

Every biohacker is obsessed with optimization. Best device. Best tracker. Best data. Here’s the problem: That mindset slows you down. You can always throw out bad data in the future. But if you don’t collect it today, you’ll never have it when you need it. So instead of trying to optimize every little decision, take an abundance mindset—oversample, over-collect, and give yourself the raw materials to improve over time. Same goes for any new biohacking device. The more early adopters support niche sensors today, the more innovation we get tomorrow. If you want a badass home robot, early believers have to buy today’s clunky versions. If you want better biohacking sensors, you need to support the makers pushing the edge.

Ever woken up feeling off—but had no idea why? Imagine if your wearable could tell you exactly what’s happening inside your body before you even get out of bed. AI-powered wearables are making this a reality. They don’t just track steps; they analyze your sleep, heart rate variability (HRV), and recovery—then offer real-time, personalized insights. What’s Changing? Wearables like the Oura Ring, WHOOP Strap, and Apple Watch are evolving fast. But it’s AI that’s making the biggest leap. Instead of just showing you numbers, AI interprets them: ? Detects patterns—Did your HRV dip after a stressful day? AI connects the dots. ? Predicts outcomes—Could you be overtraining? Getting sick? AI knows first. ? Automates decisions—Should you push harder or take a rest day? AI gives the answer. AI as Your Health Coach? Imagine having an AI-powered coach that: ? Adjusts your workouts in real time based on muscle recovery. ? Tracks emotional shifts, predicting stress before you feel it. ? Optimizes sleep and nutrition with tailored recommendations. We’re no longer limited to generic advice—AI is customizing health for YOU in ways we’ve never seen before. But What About Privacy? With powerful insights comes an important question: Who owns your data? As AI gets more personal, ethical concerns around privacy and data security grow. Should companies have access to this level of personal health information? What’s Your Take? Would you trust AI to guide your daily health decisions? Or do you prefer old-school intuition? Let’s talk! ??

?? Would you trust your own data over traditional science? N=1 studies—self-experimentation with wearables and personal data—are changing how we optimize health. The best insights might not come from a lab but from you. ?? Listen to the full episode of The Augmented Life by Fulcra here: ?? https://lnkd.in/e2Sg3rpF #TheAugmentedLife #Fulcra #ExpertInsights #Biohacking #SelfOptimization #Wearables #FutureOfHealth #PersonalizedData

A mid-afternoon spike in anxiety isn’t random—it’s a pattern. Hidden within your daily routine are subtle triggers influencing your mood, from back-to-back meetings to a missed lunch. The good news? You don’t need a smartwatch or wearables to track them. Your iPhone already holds the data you need.

Robert Scoble thinks that you should be using AI for EVERYTHING. Consulting the AI about every problem he faces and every worry he has is part of his personal practice of “AI-first living.” And it's paid off - from finding the best seats at venues to getting nuanced medical insights from photos. He also uses it to predict what might happen in the future— like his wife falling on the floor and not being able to breathe. What should he do in that situation? ChatGPT has an answer. Sure, this is a bit extreme. But the general idea is that the more you interact with AI, the more information it will have, and the more likely you’ll be to rely on it as a resource. What do you think? More in the latest episode, out now at: https://lnkd.in/e2Sg3rpF

Maybe you started strong with a smoothie, grabbed a granola bar between meetings, and had a quick pasta dinner. Nothing out of the ordinary—but by evening, you’re drained, unfocused, and craving something sweet. ?? The science of sugar metabolism tells us why. Our bodies need sugar for energy, but how we consume it matters. Fast-digesting sugars (like those in fruit juices or processed snacks) can cause quick spikes in blood sugar, followed by crashes. These fluctuations impact energy, mood, and even sleep quality. On the other hand, pairing carbohydrates with protein, fiber, or fats slows absorption, leading to more stable energy throughout the day. ?? Why does this matter? Understanding how sugar affects your body isn’t about cutting it out—it’s about context. The same meal might leave one person feeling energized and another feeling sluggish. Tracking patterns over time—whether through food logs, energy levels, or wearable data—can help reveal what works best for you. ?? Have you ever noticed how different types of sugar affect your energy levels or focus? Do you track your intake in any way? Let’s discuss below! ??

We've heard of countless uses for AI, but this one will really make your jaw drop. Robert Scoble, the famous tech blogger, has a psychiatrist who uses ChatGPT IN their therapy sessions. Why? She uses it as a tool to take detailed notes in real time, and see patterns that she might’ve missed otherwise. Does that feel unethical to you? Well, his psychiatrist thinks it will actually be malpractice in the future to NOT use AI as a note-taking tool. It allows her to take more accurate notes, which in turn allows her to be more present with her patients and provide a higher quality of care. Robert absolutely loves it. What do you think? Listen to our whole conversation here: https://lnkd.in/e2Sg3rpF