Latest Interviews

90% of AI tokens will be asynchronous | Matan Grinberg, Factory

Matan Grinberg

The event outlines a critical shift in AI consumption from fragile, prompt-dependent synchronous models to robust asynchronous workflows where autonomous agents initiate tasks without human triggers. Industry forecasts predict that within 12 to 24 months, 90% of tokens will be generated by these autonomous systems, marking the transition from current "co-pilot" tools to fully "agent-native" operations. This evolution promises to decouple revenue growth from active human intervention by enabling systems to independently identify customer signals and execute first-pass solutions.

Kalshi's Co-CEOs Disagree by Design — Why Constant Conflict Became Their Pattern

The event details a leadership model within a complex organization where intentional, continuous disagreement serves as a core operating pattern to balance regulatory risk against innovation. This approach relies on designated contrarian voices that act as a necessary check by identifying potential failure points when team enthusiasm peaks. Ultimately, the strategy establishes a delicate, constant mechanism for navigating the tension between advancing new initiatives and adhering to strict regulatory constraints.

Every Startup Has a Hole in the Ship — Kalshi's Tarek Mansour on the Problem You Can't Delegate

Tarek Mansour

The speaker distinguishes between organizations that actively confront critical internal flaws and those that ignore them, asserting that unaddressed defects inevitably lead to failure despite external growth. In January, the industry identified a reputational leak caused by public confusion between regulated platforms like Calci and unregulated offshore operators such as Polymarket. To resolve this, the organization has initiated a strategy to educate stakeholders on the necessity of regulation, aiming to normalize compliant operations and distinguish them from non-compliant models.

A Look Inside Jane Street’s Internship Program 2026

A candidate from an aerospace and computer science background secured an internship at Jane Street by solving a puzzle and demonstrating a collaborative problem-solving approach during interviews. During the role, the intern built a tool for bond desks and optimized GPU memory management using autoencoders, with the resulting code now deployed in active training systems. The experience highlighted a firm culture that values learning from mistakes and adaptability, featuring mentorship in a commodities trading project and social connections through shared hobbies like the Irish fiddle.

8 Figures on a Design Doc

Jacob Baskin

Before launching its "Superstore" system, Jane Street authorized a small team to purchase 10 petabytes of storage appliances for approximately $80 million based solely on a design document. This rapid, high-stakes capital expenditure of eight figures, which starkly contrasts with the centralized allocation processes the decision-maker previously encountered at Google, highlights the firm's unique operational agility. The speaker describes this unprecedented scale of immediate spending as both impressive and nervously significant for an organization of its size.

" It is very possible that the first people to live to a thousand are alive right now."

Max Hodak

Technological accelerations in artificial intelligence and brain-computer interfaces are driving a paradigm shift where the first individuals capable of living to 1,000 years may already exist. By 2035, widespread AI accessibility and new lateral treatments will reframe the human condition despite market undervaluation and low public awareness. These advancements will fundamentally reconfigure human interaction by creating functional equivalents to direct brain-to-brain communication.

Differences Between The Leading AI Models

Madhav Jha

Current AI models operate as specialized tools where Opus functions as a general workhorse, Codex excels in back-end debugging, and Gemini leads in front-end applications. Within three to six months, the market is expected to shift toward commoditization driven by converging model behaviors and narrowing gaps between open-source and proprietary options. Strategic success will therefore depend on building a user-centric layer that leverages these unique capabilities to optimize the customer journey rather than relying on raw model differentiation.

This Is The Holy Grail Of AI

Ian Fischer

Poetic is advancing a recursively self-improving AI system that autonomously enhances its own intelligence at a fraction of the cost and time required by major competitors like Anthropic, OpenAI, and Google. Unlike industry standards that demand hundreds of millions of dollars and months of effort to train new Large Language Models from scratch, Poetic's proprietary method accelerates these cycles significantly. This speed and efficiency advantage allows Poetic to potentially outpace rivals who remain constrained by the prohibitive expenses and long timelines of traditional retraining approaches.

What Boris Cherny Learned From Building Claude Code

Boris Cherny

Quad Code's founder executed a grueling three-month sprint to launch a terminal-based product, accepting current code-generation limitations as an inevitable starting point rather than a final state. This strategy mirrors Anthropic's philosophy of building software for capabilities expected six months into the future, encouraging founders to target where models currently fail rather than optimizing for today's constraints. By prioritizing this forward-looking approach, both entities anticipate that natural model progression will resolve existing gaps without requiring premature adaptation to immature technology.

Why OpenClaw Broke The Internet

OpenClaw distinguishes itself as a local AI agent that executes autonomously on user hardware with full permissions to interface directly with IoT devices and control physical environments. By leveraging comprehensive access to a user's entire local dataset, the system successfully reconstructed detailed historical narratives from forgotten files to deliver deep, unexpected insights. Unlike cloud-based competitors, this platform grants users granular control over their digital footprint while enabling direct interaction with tangible assets such as vehicles, appliances, and smart beds.

Building The World's First Reusable Rockets

Andy Lapsa, Tom Feldman

Recognizing a critical industry flaw where single-use rockets are discarded after a single flight, founders launched a venture dedicated to developing rapidly reusable orbital vehicles to fill this technological vacuum. They proceeded with the conviction that full reusability was a necessary pursuit, accepting the venture as the "easiest hardest decision" based on a moral imperative to attempt the solution regardless of the probability of failure. This bold entry into the aerospace market was driven by the belief that the potential for a sustainable launch model justified the risks of building a new company from scratch.

The AI Economy Is Stabilizing

Jared Friedman

By 2025, the AI economy has stabilized into a three-tier ecosystem of model developers, application providers, and infrastructure firms following a volatile 2024. A standardized playbook for building AI-native companies has enabled broad profitability across all layers without any single entity achieving market dominance. This progression reflects steady, incremental improvements in model capabilities rather than revolutionary breakthroughs that would disrupt the current trajectory.

Finding Opportunity in Outdated Rules

Emerging companies frequently capitalize on legal ambiguities, such as OpenAI's copyright challenges or Lyft's initial fear of criminal liability, to launch disruptive models before regulations adapt. These ventures often succeed because legal frameworks evolve post-launch to accommodate high-value consumer innovations, creating a window where outdated statutes fail to align with modern technological realities. Consequently, identifying and exploiting these gray areas becomes a strategic pathway for market entry, as the substantial value delivered to consumers eventually forces the superseding of obsolete laws.

Founder Stories: Rishi Choudhary

Rishi Choudhary

Founded by Rishi Chaudhry, Castle AI deploys voice automation agents to serve three of the top 25 US loan servicers, specifically targeting large banks and mortgage lenders. Moving away from previous corporate constraints, Chaudhry now facilitates direct executive engagement to help enterprise clients define their five-year AI roadmaps. This strategic partnership enables major financial institutions to integrate Castle AI as a central component of their long-term technology transformation.

Founder Stories: Cathy Di

Cathy Di, kathy

Princeton senior Kathy founded Daedalus Labs just months before submitting a late application to Y Combinator's Summer Batch, transitioning from a student to the CEO of an $11 million valued AI agent platform. The company, which provides a simplified environment for building and deploying artificial intelligence agents, leveraged immediate alumni support to bridge its initial lack of customers and revenue. Kathy's rapid trajectory and success at age 21 underscore her belief that current market conditions are optimal for launching new ventures despite the risks of abandoning a traditional big tech career path.