Kimon Roufas

What do you do when a radical new technology puts your main product right in the crosshairs of disruption? Listen to David Okuniev — co-founder of Typeform | Ask awesomely — discuss the challenges of innovation within existing structures. David shared a game-changing insight: Radical innovation is really, really difficult to do inside your own product. He emphasized the need to break free from the constraints of familiarity and embrace change from outside the box. Henrik Werdelin and I have both seen our fair share of this in our respective careers. What struck us most was how David leveraged structure to overcome the innovator’s dilemma. By creating a culture of experimentation and providing space for bold ideas, he propelled Typeform beyond incremental improvements. What other hacks have you seen or employed to help your organization overcome the innovator’s dilemma? Share your stories below! 👇 And if you want to dive deeper into our conversation, click the link in the comments to catch the full podcast episode!

4

2 Comments

This is f*cking hilarious: TuSimple's pivot from self-driving trucks to AI animation and gaming! 🤖🎮 Right now, everyone’s betting on humanoid and general-purpose robotics startups. But after 5 years in self-driving tech and building Kopernikus Auto, here’s the reality: most humanoid robotics companies will be dead. In the self-driving world, we’ve only seen a few real winners: Tesla, Waymo, and Comma.ai. Why?  - Humanoid robotics isn’t a hardware problem; it’s a software problem. - You either have infinite data, cash, talent, or a clear use case—or you won’t make it, no matter how much you raise. From over 100 companies, almost all in self-driving tech are dead or miles away from profitability. ✨ Don’t get distracted by the appeal of humanoids. Focus on real problems you can actually solve. What are you focusing on? 👇

13

1 Comment

Autonomous Vehicle (AV) funding is surging, according to PitchBook with Q2 2024 seeing $2.9 billion invested in AV startups - the highest since Q3 2021. While self-driving cars grab headlines, innovative startups are finding unique applications beyond passenger vehicles. Key developments: - Supply chain optimization: Outrider is revolutionizing yard operations with autonomous electric vehicles, addressing a $60 billion market. - Specialized transport: Pyka's autonomous planes for cargo and Gatik's local distribution trucks are gaining traction. - Safety & efficiency: Evitado Technologies automates airside operations, mitigating airport collision risks. Of course, more established companies such as Lyft & Uber are working on AV rideshare integration via partnerships with Waymo, BYD, Zoox, and others. The AV sector is focusing on gradual integration and specific use cases. While concerns about job displacement exist, proponents argue that automation could shift human capital to higher-value roles. What those roles are remains to be seen. As the AV landscape evolves, it's clear that the future of transportation extends far beyond just self-driving cars on city streets. Check out the full article by Nadine Manske here: https://lnkd.in/g3HJXZHc? And access the PitchBook Mobility Tech Report here: https://lnkd.in/g4_xP5pr #VentureCapital #AutonomousDriving #FrontierTech #FutureMobility

12

2 Comments

On Agent Dev & The Case for The Engineer’s Creative Process Agent development pulls engineers closer to the headspace of artist - and my bet is if engineers embrace and protect their creative processes, we unlock the next level of innovation in this agentic era. In machine learning, the saying goes, "it is more art than science." Building agents is a non-deterministic process that adds significant variance into systems. Engineers would be well-served to hone their creative process. The best engineers will become artists. 1. Building isn’t linear. Building agent infrastructure is far from linear. Engineers often experience a cycle of frustration and eventual breakthroughs. While not perfect, these reasoning systems are now stable enough for integration into our tools and lives. The history of AI, from machine learning to deep learning, has always involved non-linear development. Today's agent infrastructure development is even less linear, requiring engineers to understand complex semantic translations and carefully manage user rollouts to avoid failures. 2. Building with a relationship to the work. With new forms of intelligence come new relationships. Engineers must navigate a relationship to work that involves agent memory and understanding. What is it to build a system that knows you? When people feel understood, they feel loved. What is it to love the systems we’re creating? How does a creative process help? A non-linear process and a relationship to the work are the territories of the artist. Engineers, trained towards control, must embrace uncertainty, risk embarrassment, and accept that their efforts might yield unexpected results. We’re glimpsing a creator's role in a system that understands. While engineers have largely operated in a logical space, they are now called to form a heart connection with the systems they build. A creative process helps artists endure challenges and breathe life into their work. It involves a commitment to creating, discipline, and accepting that one can only control the process, not the outcome. Agent development pulls engineers closer to the mindset of artists. If engineers embrace and protect their creative processes, we can unlock the next level of innovation in society. Read more on this on my Twitter: https://x.com/ashebytes

17

2 Comments