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Kevin Madura from AlixPartners demonstrates how DSPy shifts AI development from manual prompt engineering to declarative programming, enabling developers to build modular, optimizable Python systems that treat LLMs as first-class citizens while remaining robust to model changes.
AI has eroded technical moats, making distribution the primary competitive advantage for startups; Paul Irving of GTM Fund argues founders must abandon generic B2B playbooks in favor of hyper-specific, creative go-to-market strategies targeting 1-2 unique channels where their exact customers congregate.
Robert Brennan outlines the evolution from single AI coding agents to parallel agent orchestration, demonstrating how breaking massive refactoring tasks into coordinated sub-tasks can deliver 30x productivity improvements on tech debt remediation while maintaining essential human oversight.
Former NEA partner Vanessa Larco argues 2026 marks the return of consumer AI as founders abandon slow enterprise sales cycles for immediate product-market fit validation, while OpenAI's dominance forces startups toward physical logistics, niche communities, and voice-first wearables that big labs won't touch.
Michael Bloomberg shares his journey from a laid-off Salomon Brothers partner to building a financial data empire, emphasizing that success comes from solving real problems, outworking competitors, and taking care of people—principles he applied equally to business, 12 years as NYC Mayor, and giving away over $20 billion in philanthropy.
SallyAnn DeLucia and Fuad Ali from Arize demonstrate how iterative "prompt learning"—combining automated evaluations with human explanatory feedback—can improve AI agent performance by 15% without fine-tuning, outperforming traditional optimization methods while reducing costs significantly.
Columbia epidemiologist Dr. Daniel Belsky explains that while aging cannot be halted, it is a non-linear process driven by accumulated cellular damage and inflammation that can be meaningfully slowed through specific lifestyle interventions, with repurposed metabolic drugs potentially extending healthy lifespan within the next decade.
Peter Wielander demonstrates how Vercel's open-source Workflow DevKit transforms local AI agents into production-grade systems by wrapping AI SDK code in durable, retryable workflows with minimal refactoring, enabling automatic observability and resumable streams without managing queues or databases.
![Claude Agent SDK [Full Workshop] — Thariq Shihipar, Anthropic](https://i.ytimg.com/vi/TqC1qOfiVcQ/hqdefault.jpg)
Anthropic's Thariq Shihipar introduces the Claude Agent SDK, which packages the Claude Code architecture to build autonomous agents using a 'bash is all you need' philosophy, leveraging Unix primitives and dynamic code generation instead of rigid predefined workflows.
Ryan Kidd of MATS discusses high uncertainty around AGI timelines (median 2033), the paradoxical state of AI safety where frontier models display both surprising ethical alignment and concerning deception capabilities, and why MATS employs a portfolio strategy to develop talent across diverse research agendas—including long-term bets that could be compressed by future AI labor.
Whole Foods co-founder John Mackey shares how missionary-level dedication, avoiding venture capital control, and capitalizing on competitors' 20-year distraction allowed him to scale from a single hippie grocery store into a national chain that changed American eating habits.
Exor NV, the Agnelli family’s century-old holding company, trades at a 60% discount to its net asset value, effectively allowing investors to buy shares of Ferrari—its crown jewel holding—at roughly half price while receiving stakes in Stellantis, Philips, and luxury brands essentially for free, though the eclectic portfolio mix and capital allocation concerns create legitimate risks.