WHAT IF: The future of software is significantly more secure. The idea of shift-left can reach new heights because we have newfound bandwidth to automate the bottom 80% of issues.
There's basically no world where Jevon's paradox ceases to be true.
Same for Moore's Law. Maybe the base number changes and the shape of the industry shifts. Either way the exponent carries the weight.
Plus fascinating takes on defense tech applications and why the future of advertising isn't demographic bucketing - it's individual creative generation in real-time.
Key insights:
→ Clean data beats fancy prompts every time
→ AI compliance is the next big vertical
→ Personalized ads will be generated per individual
→ Engineering fundamentals still matter at higher abstractions
Key insights:
→ Small AI models beat large ones for specific use cases
→ Social science students can build startups easier than ever; and they bring a unique edge
→ Is traditional VC dying in the AI era?
→ Build for your community, not the world
🎙️ New podcast drop: From FBI counterintelligence expert to serial entrepreneur
@MikeSJacobs1 is a serial entrepreneur and founder of Berkeley's startup incubator for cognitive science students.
https://t.co/4CM3FWFmOF #AI#Entrepreneurship#Startups#Patreon#TechPodcast
In this episode, Mike shares his unique journey from FBI counterintelligence to ideating on Patreon and cofounding OrderMark, and discusses why the future of AI entrepreneurship lies in small, focused applications.
1/ We made verifiable AI (zkML) 3-7x faster than everyone else! Here's how.
We asked a simple question. What if we modified a16z Crypto's sumcheck based & lookup-centric zkVM "JOLT" for ML operations?👇🧵
I got to chat with Fred Yang about his experience designing and building enterprise grade production agents at @indeed .
Interview: https://t.co/tzJcRZDNAt
We talked about:
-Why multi-agent architectures might be over-engineered for most use cases
-How evaluation-driven development is becoming the new standard for AI
-How the cost dynamics of code writing vs. code reviewing are fundamentally changing