Gabe
Showing 1–4 of 4 transcripts.
- Sequoia Capital22 min
Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory
Arjun Karanam, Ronak, Gabe, Harrison, Nico, Harvey
Trajectory, co-founded by Arjun and Ronak, addresses the lack of accumulated experience in AI by building a platform that enables models to continuously learn from the 100 trillion daily tokens generated by real-world agent interactions. The company utilizes a dual-learning architecture combining differential privacy with reinforcement learning on user-corrected traces, allowing organizations to transition from static models to systems that compound capability through automated post-training and flexible harness optimization. By abstracting complex training parameters into a 15-minute workflow, Trajectory empowers enterprises to retain ownership of their specialized models while refining agent performance directly against production traffic.
- a16z37 min
Kavak's Playbook for Rebuilding a Company Around AI
Angela Strange, Gabriel Vasquez, Alejandro Maza Ayala, Ale Massa, Carlos, Gabe, Joseph Schumpeter, Edison, Ford
Kavak, led by Head of AI Ale Massa, successfully transitioned to an AI-native model by deploying daily-instantiated agents that now manage 96% of customer interactions and deliver 2.1 times higher conversion rates than human teams. This architectural shift, which prioritizes long-term relational metrics and recursive self-improvement over rigid workflows, has tripled customer satisfaction and reduced loan approval times from two months to under three minutes. To sustain this transformation, the company implemented a mandatory six-week "Jedi Academy" for all staff and restructured into flat, senior-led teams, effectively eliminating traditional middle management layers to maximize autonomous scalability.
- a16z1h 10m
The AI Opportunity that goes beyond Models
Alex Rampell, Jen Kha, David Haber, Anish Acharya, Ari, Nick Kopp, Seema, Mark Andrusco, Joe Schmidt, Olivia, Kimberly, Gabe, Brian, Andy, Ben
The current AI era, driven by global smartphone adoption and the 2017 Transformer breakthrough, is enabling software companies to generate $100 million in revenue within two years while displacing human labor through specialized applications. Forward-thinking firms capitalize on this shift by establishing proprietary data moats and evolving from per-seat pricing models to outcome-based strategies that solve specific "labor replacement" needs. Concurrently, investors like Andreessen horowitz are prioritizing high-conviction deals in vertical roll-ups and "AI-native" ecosystems to secure defensible systems of record rather than temporary feature differentiation.
- Milken Institute1h 2m
Town Hall - Will Technology Save or Subvert Civility and Society?
A panel of tech leaders and academics argues that social media platforms have fundamentally degraded American politics by algorithmically prioritizing engagement over civility, with data showing zero perceived positive impact among attendees. Speakers detail how predictive modeling and recommendation engines exploit human vulnerabilities to amplify polarization and misinformation across major sites like YouTube and Twitter, creating a toxic feedback loop that erodes social fabric. To address this crisis, the group proposes a multi-stakeholder "troika" governance model, legislative reforms to the Section 230 framework, and the integration of digital ethics into educational curricula to establish new norms for the industry.