TechFirst with John Koetsier

Quantum navigation: Unhackable, GPS-free

What happens when GPS goes down: jammed, spoofed, or completely denied?In this episode of TechFirst, host John Koetsier sits down with Michael Biercuk, founder and CEO of Q-CTRL, to explore one of the most surprising breakthroughs in quantum technology: quantum navigation.While most of the quantum world is focused on computing, Q-CTRL is building something entirely different: AI-powered quantum sensing systems that can navigate aircraft, drones, and vehicles without GPS.Even more surprising? This technology didn’t exist just over a year ago. Now it’s already shipping.You’ll learn:• How quantum sensors can “see” invisible features of the Earth• Why magnetic and gravitational fields enable GPS-free navigation• How this system achieves 100x better accuracy than current GPS alternatives• Why it works in environments where other systems fail (clouds, water, darkness, interference)• The role of AI software in stabilizing fragile quantum systems in real-world conditions• What this means for aviation, defense, and the future of autonomous systemsThis is a deep dive into a fast-moving frontier where quantum meets real-world deployment, and it’s happening faster than almost anyone expected.⸻Guest:• Michael Biercuk, Founder & CEO, Q-CTRL• Company: Q-CTRL • Website: https://q-ctrl.com⸻👉 Subscribe for more conversations on AI, quantum tech, and the future of innovation:https://techfirst.substack.com⸻⏱️ Chapters0:00 Quantum Navigation vs Quantum Computing0:34 Introduction to Michael Biercuk & Q-CTRL1:12 What Is Quantum Navigation?2:00 How Quantum Sensors Enable Navigation2:52 Magnetometers vs Gravimeters Explained3:28 Do You Need to Pre-Map the Earth?4:18 Earth’s Magnetic Field & Why Maps Stay Accurate5:18 GPS Spoofing & Why Quantum Nav Matters6:00 Accuracy: 100x Better Than GPS Alternatives7:00 Why Multi-Mode Navigation Is the Future7:42 Limits of Star Cameras & Visual Navigation8:38 The Vibration Problem in Quantum Systems9:30 How Software Replaces Hardware Stabilization10:28 System Size: From Sensor to Loaf of Bread11:15 Cost, Use Cases & Drone Deployment12:00 First Sales & Commercial Rollout12:45 Market Size: Aviation & Drone Opportunity13:20 Final Thoughts on Quantum Sensing13:45 Speed of Innovation & Closingr

Are AI agents the new apps?

Are AI agents really the future of software — or just the latest wave of hype?In this episode of TechFirst, host John Koetsier sits down with Don Murray, CEO of Safe Software, to break down what’s actually happening with “agentic AI.” From AI-washing and “agent-washing” to real-world use cases in coding, automation, and enterprise software, this conversation cuts through the noise.They explore how AI agents differ from traditional apps, why intent-based software is emerging, and how developers are already shipping faster with AI writing code. But it’s not all upside — there are real risks, from security vulnerabilities to the possibility of AI-driven mistakes at massive scale.You’ll also hear: • Why “agentic AI” might just be a rebrand of automation • How AI is changing software development (and junior dev roles) • The surprising productivity boost for senior engineers • Why AI could make companies faster — and more fragile • The rise of “good enough” content and the risk of mediocrity • How enterprises are (and aren’t) keeping upPlus: what happens when AI starts building itself — and whether we’re heading toward a breaking point.⸻This episode is sponsored by Apprentice: did you think AI was only for digital work? Nope ... AI-native manufacturing is here. This month's sponsor is Apprentice, which offers the first AI Agent built from the ground up for agentic manufacturing. Connects to all your systems, monitors everything, automates all your processes ... but keeps a human in the loop. Check it out at apprentice.io.⸻👤 GuestDon MurrayCEO & Founder, Safe Software🌐 https://www.safe.com00:00 AI washing and the agent hype00:02 What actually counts as an agent?00:03 Sponsor: Apprentice and agentic manufacturing00:03 New software architecture: intent-driven systems00:05 Are big legacy companies like Apple at risk?00:07 Day one vs. day two companies00:08 How AI changes software development00:09 Why junior devs struggle with AI-generated code00:10 Consumer benefits of agentic software00:11 Does AI save time or just make us busier?00:12 The downside: creativity, security, and mediocrity00:14 Why AI makes it easier to be average00:15 AI as an assistant and the blank-page problem00:16 AI removes excuses for building new products00:17 Can companies be rebuilt faster than bought?00:18 AI writing AI code00:19 Why developers are moving to Claude and Gemini00:20 Shipping faster vs. overwhelming customers00:21 Why every app may need an agent00:22 Talking to databases instead of learning SQL00:23 The risk of AI breaking companies fast00:24 Is there an AI bubble?00:25 Data centers, power, and water constraints00:26 AI’s upside in healthcare00:27 Using AI for legal documents and expert knowledge00:28 Final thoughts on agentic AI and AI-ready data

Amazing robot hands from Kyper Labs

What if the hardest part of building a humanoid robot isn’t the brain but the hands? Robot hands are half the complexity of a robot, a humanoid robot CEO told me a while back: they're insanely difficult to get right.In this episode of TechFirst, I talk with Kyber Labs co-founders Tyler Habowski and Yonatan Robbins about why dexterity, maybe even more than AI, is the true bottleneck in robotics.Some of the quotes:- “There are literally zero robot hands deployed right now doing routine work.”- “The best hands are hundreds of thousands of dollars, and they break all the time …”Before the interview, you’ll see an exclusive demo of their next-generation robotic hand in action showing just how far manipulation technology has come.We dig into:• Why humans rely on force, not precision, to manipulate objects• The surprising flaw in most robotic hands today• How Kyber’s “torque-transparent” design works without expensive sensors• Why hardware—not software—is still the limiting factor• A practical path to real-world automation (without sci-fi hype)This isn’t about futuristic humanoids doing everything. It’s about solving real problems today ... from lab automation to manufacturing ... by building hands that actually work.⸻👤 GuestsTyler HabowskiCo-founder, Kyber LabsBackground: SpaceX, robotics manufacturingYonatan RobbinsCo-founder, Kyber LabsBackground: Industrial design, mechanical engineering, medical devices⏱️ CHAPTERS00:00 Why Robot Hands Are So Hard01:30 Sneak Peek + Demo Setup01:30 Demo: Kyber Labs Robot Hand in Action05:30 Interview Start: Are Hands Half the Problem?06:45 Humans Use Force, Not Precision08:45 Why Most Robot Hands Fail10:45 How Kyber’s Hands “Feel” Without Sensors13:15 Back-Drivability vs Torque Transparency15:30 Hardware vs AI: What Actually Matters?17:30 Why Better Hands Unlock Better Robots19:15 Real-World Use Case: Automating Lab Work22:00 Vision vs Touch in Robotics24:00 Why Start With Stationary Robots25:45 Not Building Humanoids (Yet)27:15 What Is a “Minimum Viable” Robot Hand?29:15 The Problem With Today’s Grippers30:45 What the Ultimate Robot Hand Looks Like32:15 The Real Breakthrough: Deploy and Iterate33:30 Final Thoughts + Wrap-Up

Welcome to the agentic enterprise

What does the agentic enterprise of tomorrow look like? What happens when AI can build software in hours and agents can run entire business processes?In this episode of TechFirst, John Koetsier sits down with UiPath CEO Daniel Dines and CMO Michael Atalla to unpack one of the biggest shifts in enterprise technology: the rise of the agentic enterprise.We explore whether software is becoming disposable, why AI agents are fundamentally different from traditional automation, and what really happens to jobs as companies adopt these systems. Along the way, we dig into process orchestration, trust, judgment, and why human “taste” may become more valuable—not less—in an AI-driven world.This is a deep, practical look at how AI is reshaping work inside real companies as they become agentic enterprises. This isn't just hype, but what’s actually changing right now and what’s coming next.⸻👤 GuestsDaniel DinesCo-founder & CEO, UiPathMichael AtallaChief Marketing Officer, UiPath⸻Sponsor: KindBody Fitnesskindbody.fitnessBe kind to your body with AI-driven fitness customized exactly to you. All the health with none of the gym bro nonsense.⸻🚀 What You’ll Learn• Why AI is making software faster—and more disposable• The difference between task agents, stage agents, and process agents• What an “agentic enterprise” actually looks like in practice• Why trust, judgment, and taste become more important with AI• How AI could reduce enterprise costs—and even drive deflation• The future of work: builders, sellers, and critics• Why fully autonomous AI “swarms” aren’t ready for enterprise (yet)⸻🔔 Subscribe for more conversations on AI, tech, and the future of work👉 https://techfirst.substack.com

NanoClaw is a safer OpenClaw

NanoClaw is a new agent inspired by OpenClaw, but without the massive security risks you get with OpenClaw. Essentially, it's a safer OpenClaw.What if you could run a powerful AI agent on your own machine: one that can browse, automate tasks, connect to apps, and even manage your workflow ... but without the massive security risks?That’s the idea behind NanoClaw, a lightweight alternative to OpenClaw created by developer Gavriel Cohen. In just a few weeks, the project exploded on GitHub, attracting thousands of stars and a growing community of developers building their own AI agents.In this episode of TechFirst, we explore:• Why OpenClaw raised serious security concerns• How NanoClaw isolates agents in containers• Why a 3,000-line codebase is safer than 500,000 lines• The rise of AI agents that can actually do work• Why entire software categories may soon be replaced by prompts• The future of AI-native workflows and “disposable software”Gavriel also shares how his team uses AI agents in WhatsApp to run their sales pipeline automatically—and how developers are customizing NanoClaw with new capabilities like voice, images, and automation.If you’re interested in AI agents, autonomous workflows, vibe coding, and the future of software, this conversation is packed with insights.⸻GuestGavriel CohenFounder, QuibbitNanoClaw Creatorhttps://github.com/qwibitai/nanoclaw⸻If you enjoy conversations about AI, startups, and the future of technology, subscribe for more episodes:https://techfirst.substack.com⸻00:00 Intro: A safe OpenClaw for TechFirst01:22 Gavriel Cohen introduces NanoClaw03:25 Why OpenClaw feels unsafe03:55 Half a million lines of code vs. 3,00006:03 Dependency sprawl and supply-chain risk07:00 Why every agent needs its own container09:30 What NanoClaw can actually do10:16 Letting NanoClaw customize itself12:56 How NanoClaw recreates OpenClaw with far less code13:21 Memory, Claude Code, and agents.md15:34 Running NanoClaw on a laptop, server, or VPS16:22 What Gavriel learned from vibe coding19:50 The OpenClaw phase shift: everything changed21:16 From ChatGPT to real agents that do work23:15 Why AI-native workflows beat traditional SaaS24:46 Replacing CRM workflows with markdown and WhatsApp25:54 Product categories becoming prompts26:36 The key innovation: agents leaving the box28:45 Agent swarms and one-person companies29:22 Tokens, cost, and AI inequality30:30 Building secure, customizable software32:25 Self-modifying software and shared customizations33:44 Disposable software and infinite composability35:00 Outro