Latest Interviews

Signals & Noise: Four Themes Driving Emerging Markets

David Hauner

David Hauner of BofA Securities outlines a constructive outlook for emerging market carry trades in September 2026, driven by high global rates and a range-bound dollar despite risks from rising inflation and geopolitical tensions. The strategy favors high-yield assets in Brazil, Turkey, and frontier markets while avoiding sovereign credit spreads, viewing Treasury buybacks and a potential three-rate hike cycle as catalysts for dollar weakness that support EM currencies. Key catalysts include the US midterms delaying a September rate decision, a constructive Trump-Xi summit aiding the offshore Renminbi, and Brazil's upcoming elections, though persistent inflation remains a primary constraint on fixed income returns.

Signals & Noise: AI Exposure, Less Volatility? Enter Converts

Michael Youngworth

The global convertible bond market has surged to $600 billion, driven by $175 billion in year-to-date issuance as artificial intelligence companies transition from adjacent players to primary financing engines. Despite a July 2026 correction that reduced valuations to their most attractive levels of the year, the asset class outperformed equities on risk-adjusted bases by limiting drawdowns to 11% while capturing 80% of AI theme correlation. This performance, supported by a shift toward investment-grade issuers and over $2 billion in recent retail inflows, signals strong institutional confidence in convertibles as a strategic vehicle for AI capital formation.

How To Get Better At Outbound Sales

Christina Gilbert

Founder-led sales strategies prioritize executing at least 100 manual outreach attempts to validate messaging and targeting before attempting automation, ensuring high conversion rates through rigorous prospect research and job title verification. This approach relies on constructing problem-centric, peer-to-peer communication while leveraging customer feedback to build credibility and optimize LinkedIn profiles for maximum trust. Successful execution requires strict operational discipline, including daily time-blocking for consistent volume and a systematic debugging framework that iterates through deliverability, content, and market fit until a viable reply rate of two to three per hundred is achieved.

How Companies Are Building Their Own Intelligence | Sonya Huang, Sequoia Capital

Sonya Huang

Approximately 80 portfolio company founders and AI leaders convened to strategize the adoption of Sovereign AI, a framework defined by vertical integration where organizations own model weights rather than relying on external APIs. The event combined high-level market analysis with technical workshops led by industry experts to outline a four-step roadmap for building custom intelligence capabilities. Participants explored critical architectural decisions regarding cost efficiency, latency reduction, and the necessity of dedicated research labs to leverage open-weight models for proprietary domain performance.

How to Get Your First 10 Customers

Max Kolysh

This guide outlines a tactical framework for founders to secure their first ten customers by prioritizing manual, high-trust interactions over scalable automation. Early acquisition focuses exclusively on personal networks and in-person efforts, utilizing specific channels like micro-events, targeted Reddit DMs, and value-driven advice requests before ever deploying prospecting tools. Once these foundational deals are won through unscalable work, the strategy shifts to utilizing software like Apollo and Clay to replicate the validated pitch for subsequent growth.

You can't win a war in space

Rob Wiblin, Beren Millidge

This analysis concludes that in a universe without faster-than-light travel, the inherent physics of interstellar distances grants overwhelming defensive advantages to mature civilizations, rendering large-scale conquest irrational. The study details how mobile habitats, relativistic kill vehicle defenses, and distributed sensor networks create insurmountable barriers for invading fleets, effectively negating the "Dark Forest" hypothesis of constant galactic warfare. Consequently, the document warns that humanity faces a critical existential threat over the next ten millennia unless it rapidly transitions from a vulnerable single-planet state to a dispersed, mobile infrastructure comparable to a Kardashev III civilization.

Must Read Research: Bull & Bear, AI Infrastructure, Underdog and Housing Markets

Candice Browning, Michael Hartnett, Rafe Jadrosich

Recorded on June 8, 2026, this session analyzes a macroeconomic backdrop defined by $6 trillion in U.S. equity wealth gains alongside persistent inflation that has pushed nearly two-thirds of global central banks past their targets. The discussion details specific growth opportunities in hyperscale data center industrial catering, projected to reach $100 billion, and Underdog's expansion as a top-ranked social-first prediction market platform. Additionally, the briefing evaluates diverging housing sector trends, where affordability constraints have forced major builders to cut margins in key regions while luxury segments and remodel markets benefit from resilient high-income demand.

ITPM Flash Ep114 Point, Click, Profit.

Ben Berggreen

Amidst stretched tech valuations and cooling inflation narratives, Logitech International presents a strategic opportunity as a debt-free hardware provider capitalizing on the enterprise PC refresh cycle driven by the Windows 10 end-of-life deadline and AI hardware adoption. The company's robust fiscal 2024 performance, characterized by positive operating cash flow and a new CEO-led R&D push, is supported by a bullish option strategy that pairs long August $130 calls with short July $140 calls to limit risk while targeting a potential price run to $155 by late July. This setup seeks to profit from the anticipated low-expectation Q1 earnings catalyst and the broader rotation toward companies with solid fundamentals over speculative assets.

Is it still worth going to university?

A narrowing unemployment gap between graduates and the general youth population in the US and EU masks a broader structural shift driven by post-2009 financial contractions rather than recent generative AI developments. While enrollment in traditional university programs declines in the US, employers increasingly prioritize adaptability and practical experience, with internship participation raising full-time employment probabilities by 23% within six months of graduation. Consequently, the labor market is pivoting toward sectors like robotics and trades that resist automation, while valuing uniquely human skills such as critical thinking over rote subject mastery.

OpenAI vs. Deepseek vs. Qwen: Comparing Open Source LLM Architectures

Ankit Gupta

OpenAI, Alibaba Cloud, and DeepSeek have each launched significant open-weight language models featuring distinct Mixture of Experts architectures and advanced long-context capabilities. While OpenAI's GPT-OSS prioritizes inference efficiency on consumer hardware, Alibaba's Qwen 3 introduces flexible dense and sparse variants with dual reasoning modes, and DeepSeek's V3.1 achieves superior memory efficiency through Multi-Head Latent Attention. Despite differing engineering strategies for scaling and alignment, all three families demonstrate comparable performance benchmarks derived from trillions of tokens and complex post-training pipelines.

The Sales Playbook For Founders | Startup School

Tom Blomfield

Early-stage B2B founders often stall in non-revenue design partnerships, so this guide outlines a four-stage framework to accelerate sales from initial discovery to signed Annual Recurring Revenue contracts. The strategy replaces vague, months-long pilots with narrow, paid trials that enforce financial commitment and specific ROI metrics, culminating in recurring contracts featuring automatic renewal clauses. By integrating operational tactics like immediate security certification and high-touch onboarding, founders can bypass traditional procurement bottlenecks and establish scalable revenue streams.

The Ultimate AI Video Stack: Up-to-Date Best Tools to Make Content With AI

Justine Moore

Justine, a partner at A16C and the "Venture Twins" creator, outlines a comprehensive workflow for early-stage AI video production that leverages Google Flow for text-to-video generation and Cling 2.1 for consistent character animation. The presentation details how Hedra facilitates precise lip-syncing with voice cloning capabilities while Higgs Field and Crea manage specialized visual effects and multi-model comparison to refine output quality. By synthesizing these distinct tools into a unified pipeline, creators can currently overcome limitations in audio generation and scene continuity despite the field remaining in its nascent, rapidly evolving stage.

How To Get The Most Out Of Vibe Coding | Startup School

Tom Blomfield

The session establishes "vibe coding" as a disciplined engineering practice, recommending specific tool strategies such as using Replit for novices and dual-workflow setups with Cursor and Windsurf for experienced developers. It outlines a rigorous methodology involving architectural planning, modular Git-based implementation, and strict error handling protocols to manage AI-generated code effectively. The discussion further analyzes current model capabilities, highlighting Claude Sonnet 3.7 for implementation and Gemini for planning, while noting expected performance shifts due to training data biases in frameworks like Ruby on Rails.

How Scaling Laws Will Determine AI's Future | YC Decoded

Garry Tan

This event analyzes the evolution of AI scaling laws, tracing the transition from the 2020 Chinchilla optimization that prioritized data volume over model size to the current era where OpenAI's O3 model demonstrates that intelligence scales linearly with test-time reasoning compute. The discussion highlights industry concerns regarding pre-training data plateaus while arguing that the scaling revolution is shifting toward reasoning depth and unexplored modalities like robotics and chemical modeling. These insights collectively outline a new trajectory for Artificial General Intelligence that moves beyond simple architectural expansion to leverage extended inference and cross-domain applications.

How To Use AI In Your Startup

Brad, Pete, Gustav, Nicola

The Y Combinator Spring Batch application deadline of February 11th offers selected startups a $500,000 investment and critical network access, with a strong emphasis on relocating to the San Francisco Bay Area to stay synchronized with rapidly evolving market conditions. Founders are advised to integrate large language models into their core product or operations rather than merely pivoting for trendiness, leveraging their physical proximity to industry leaders to identify automation opportunities in sectors like healthcare and legacy software replacement. Case studies such as WAPI illustrate how embedding within the SF community enabled an early pivot to voice AI, contrasting with remote companies that failed to adapt due to an informational lag in understanding current technological capabilities.