From Code Search to AI Agents: Inside Sourcegraph's Transformation with CTO Beyang Liu
20 January - 46 minsSourcegraph's CTO just revealed why 90% of his code now comes from agents—and why the Chinese models powering America's AI future should terrify Washington. While Silicon Valley obsesses over AGI apocalypse scenarios, Beyang Liu's team discovered something darker: every competitive open-source coding model they tested traces back to Chinese labs, and US companies have gone silent after releasing Llama 3. The regulatory fear that killed American open-source development isn't hypothetical anymore—it's already handed the infrastructure layer of the AI revolution to Beijing, one fine-tuned model at a time.
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The AI Opportunity That Goes Beyond Models
The a16z AI Apps team outlines how they are thinking about the AI application cycle and why they believe it represents the largest and fastest product shift in software to date. The conversation places AI in the context of prior platform waves, from PCs to cloud to mobile, and examines where adoption is already translating into real enterprise usage and revenue. They walk through three core investment themes: existing software categories becoming AI-native, new categories where software directly replaces labor, and applications built around proprietary data and closed-loop workflows. Using portfolio examples, the discussion shows how these models play out in practice and why defensibility, workflow ownership, and data moats matter more than novelty as AI applications scale.
1 hour 10 mins
19 January Finished
How Foundation Models Evolved: A PhD Journey Through AI's Breakthrough Era
The Stanford PhD who built DSPy thought he was just creating better prompts—until he realized he'd accidentally invented a new paradigm that makes LLMs actually programmable. While everyone obsesses over whether LLMs will get us to AGI, Omar Khattab is solving a more urgent problem: the gap between what you want AI to do and your ability to tell it, the absence of a real programming language for intent. He argues the entire field has been approaching this backwards, treating natural language prompts as the interface when we actually need something between imperative code and pure English, and the implications could determine whether AI systems remain unpredictable black boxes or become the reliable infrastructure layer everyone's betting on.
57 mins
16 January Finished
Ben & Marc: Why Everything Is About to Get 10x Bigger
a16z cofounders Marc Andreessen and Ben Horowitz join a16z general partner Erik Torenberg and Not Boring founder Packy McCormick for a conversation on how the media and information ecosystem has changed over the past decade. The discussion breaks down the shift toward a more open and decentralized speech environment, the rise of writer- and creator-led platforms like Substack, and the erosion of centralized media gatekeepers. Marc and Ben also tie these dynamics to their investing worldview, outlining how supply-driven markets, major technological step changes, and reputation-driven venture platforms shape outcomes in the AI era.
58 mins
15 January Finished
Alex Rampell on TBPN: Revenge, Redemption, and Founder Drive
a16z General Partner Alex Rampell joined the Technology Brothers Podcast Network following the announcement of Andreessen Horowitz’s new fund to discuss what drives founders to build enduring companies. Drawing on his journey from early software entrepreneur to leading a16z’s apps fund, Alex shared how high agency, deep historical understanding, and the ability to attract talent, capital, and customers separate great founders from the rest. He reflected on motivation beyond money, explaining why “revenge or redemption” often fuels the resilience required to push through the hardest moments of company building.
17 mins
14 January Finished
Ben Horowitz on Investing in AI: AI Bubbles, Economic Impact, and VC Acceleration
AI is changing how companies are built and how venture firms operate, forcing faster decisions, clearer judgment, and new ways of working. In this exclusive conversation, Ben Horowitz shares how Andreessen Horowitz adapts to that shift. He explains why managing GPs is different from running a company, how investors are evaluated at the moment of decision rather than years later, and why verticalized teams help the firm scale without internal politics. Ben also breaks down the current AI cycle, from treating AI as a new computing platform to why application design and model orchestration matter more than raw model size. He discusses the return of M&A and why today’s AI market reflects real demand, not just inflated valuations.
34 mins
13 January Finished