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Latest Interviews

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  1. Y Combinator12 min

    Pick One Idea and Go Deep

    Jon Xu, John

    Founders must abandon the search for a theoretically perfect idea and instead commit fully to a single concept to generate reliable market data and achieve deep expertise. This approach demands a radical identity shift and a "burn the boats" mentality, ensuring leaders can run a customer's business with precision while targeting high-stakes sectors like regulated industries or hard tech. By operating at the frontier of AI capabilities and owning specific outcomes rather than just selling software, entrepreneurs validate their viability through real-world execution or acquire unambiguous failure data necessary for strategic pivots.

  2. Y Combinator8 min

    What Everyone Is Getting Wrong About AI And Jobs

    Garry Tan

    This analysis synthesizes historical precedents like containerization and cloud computing to refute extreme predictions of mass unemployment, demonstrating instead that AI efficiency triggers Jevons' Paradox by lowering costs and exploding demand for services. Prominent figures such as Andrej Karpathy and Aaron Levy argue that while AI automates rote tasks, it predominantly refills labor markets by elevating human roles to supervisory positions and addressing pent-up demand in sectors like healthcare and law. Consequently, founders and investors are urged to actively build solutions that leverage this latent demand rather than waiting for policy interventions or succumbing to fatalistic views on economic transformation.

  3. Y Combinator17 min

    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.

  4. Y Combinator8 min

    The Next Breakthrough In AI Agents Is Here

    Garry Tan

    Chinese startup Manus has officially launched a general-purpose AI agent that leverages Anthropic's Claude 3.7 Sonnet to orchestrate a multi-agent system capable of executing complex real-world tasks. The platform achieved an 86.5% score on the GAIA benchmark and offers transparent, customizable workflows at a cost of approximately $2 per task, effectively positioning itself as a sophisticated alternative to opaque single-model competitors. While critics question its reliance on existing foundational models, co-founder Yiqiao Peek Ji defends the strategy as a deliberate focus on architectural innovation and user experience rather than model development.

  5. Y Combinator8 min

    GPT-4.5 = Big Model Energy | YC Decoded

    Tom Blomfield

    OpenAI has released GPT-4.5, a significantly larger and more human-like model that surpasses its predecessor in emotional intelligence and creative fluency while facing higher costs and specific limitations in complex STEM reasoning. Market reception remains measured as benchmarks show incremental rather than revolutionary improvements, leading researchers to predict a future convergence of general and reasoning capabilities in the upcoming GPT-5 architecture. Simultaneously, YC is hosting a free AI Startup School in San Francisco featuring industry leaders such as Elon Musk, Sam Altman, and Satya Nadella to support emerging AI talent.

  6. Y Combinator13 min

    The Engineering Unlocks Behind DeepSeek | YC Decoded

    Diana Hu

    DeepSeek unveiled its open-source R1 reasoning model and V3 base architecture, delivering performance parity with top-tier proprietary systems like OpenAI o1 through novel algorithmic optimizations such as native FP8 training and Group Relative Policy Optimization. The announcement triggered significant market volatility, erasing nearly $600 billion from NVIDIA's capitalization, while demonstrating that software stack efficiency can rival the hardware advantages of major US tech ecosystems despite strict GPU export controls. This breakthrough validates a new trajectory for the industry by proving that high-cost AI development can be drastically reduced, thereby lowering barriers for startups and accelerating the adoption of accessible, locally deployable intelligence.

  7. Y Combinator10 min

    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.

  8. Y Combinator20 min

    How David Lieb Turned a Failing Startup Into Google Photos | Backstory

    David Lieb

    David Lieb co-founded the contact-sharing startup Bump, which was eventually acquired by Google in 2015, but his subsequent secret launch of the billion-user Google Photos product resulted in two firings before its 2015 debut. Following a 2020 leukemia diagnosis and a grueling year-long treatment regimen, Lieb transitioned from a product builder to a mentor at Y Combinator. He now leverages his history of strategic pivots and near-death survival to guide and protect the next generation of founders.

  9. Y Combinator8 min

    Anthropic’s Claude Computer Use Is A Game Changer | YC Decoded

    Garry Tan

    Anthropic has launched a public beta of "Claude Computer Use," an AI agent that autonomously navigates websites and executes tasks by interpreting screen screenshots to determine precise pixel locations for clicks and keyboard inputs. While the system successfully automates complex workflows like travel planning and safety compliance analysis, it currently faces performance limitations and security vulnerabilities such as prompt injection. This development marks a significant industry shift as competitors race to release similar autonomous agents, signaling a transition toward AI systems that execute entire tasks rather than serving merely as conversational assistants.

  10. Y Combinator9 min

    Lessons From The Founders Scaling Their Startup In A War Zone

    Stacy Pavlyshyna, Roman Sevast

    On February 28, just four days after the full-scale Russian invasion began, Isomic co-founders Stacy and Roman narrowly survived a missile strike near their Kyiv residence while executing emergency evacuation protocols for their distributed design workforce. Despite the immediate danger and subsequent psychological trauma from reports of atrocities in Bucha, the company maintained uninterrupted 24-hour operations, deliberately choosing to remain in Ukraine to generate foreign currency and support the national economy. The founders implemented specialized safety measures, including hiring expert drivers to navigate active combat zones, while fostering a united outlook on long-term societal resilience and economic rebuilding.

  11. Y Combinator7 min

    The Biggest Mistakes First-Time Founders Make - Michael Seibel

    Michael Seibel

    The event outlines critical strategies for startup success, emphasizing that founders must select problems aligned with personal passion and choose co-founders based on pre-existing relationships to ensure long-term commitment. It advocates for rapid product launches within a month to enable user validation, arguing that external distractions like press events often distract from the essential work of shipping an MVP. Furthermore, the discussion highlights the necessity of implementing user analytics and acquiring initial customers through the founder's network to drive effective iteration and growth.

  12. Y Combinator17 min

    Reshma Shetty, Founder of Ginkgo Bioworks at the Female Founders Conference

    Reshma Shetty

    Ginkgo Bioworks, a Boston-based female-founded unicorn, leverages the digital nature of DNA to program organisms with sub-nanometer precision while advising founders to raise substantial capital only under strict fiscal discipline to avoid the pitfalls of organizational bloat. The company distinguishes its scaling strategy by enforcing efficiency through a "Scrooge McDuck" leadership role and a "Mission to Metrics" framework that explicitly links its core goal of making biology easier to engineer with quantitative measures like output per employee. This approach allows Ginkgo to decouple commercial growth from headcount expansion, thereby mitigating non-linear interpersonal conflicts and sustaining a competitive advantage despite rapid organizational expansion.

  13. Y Combinator19 min

    Olga Vidisheva Speaks at Female Founders Conference 2015

    Olga Vidisheva

    ShopTix, founded by a Wellesley and Harvard Business School graduate, operates a two-sided marketplace connecting independent global boutiques with shoppers after validating demand through 800+ store owner interviews. Following a Y Combinator acceptance and seed investments from firms like Andreessen Horowitz and Greylock, the company resolved early scaling failures by replacing co-founders with a professional CTO, which drove a 700% growth rate and turned the venture profitable. Now preparing to launch its mobile application on March 18, ShopTix continues to aggressively scale its infrastructure to capture the market inflection point characteristic of successful multi-year marketplace maturation.