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Weekly reads: Jan 26, 2026

2 reads selected from 2 stories across 1 sources published in this period.

We take turns across sources, starting with their most recent stories. This is a reading selection, not an importance ranking or an archive of the email newsletter.

Dates follow Korea Standard Time. Weekly selections cover Monday through Sunday.

Our editorial policy and selection method

  1. 01 / Sequoia Capital

    Spector Brothers Launch Flapping Airplanes to Build Data-Efficient AI Lab with Young Talent, Challenging Scaling Paradigms

    Flapping Airplanes, founded by Ben and Asher Spector, aims to create a lab for young talents to develop data-efficient AI models, addressing the key bottleneck in AI advancement. The company emphasizes raw talent over big names and contrasts with current trends in AI hiring. It draws from biological inspirations to push forward machine intelligence.

    Why it matters

    This initiative underscores the shift towards data efficiency as crucial for AI progress, potentially reducing reliance on vast data resources. It could spark a trend in talent-focused research labs, influencing how AI companies approach innovation. As the AI field debates scaling versus efficiency, such efforts might accelerate breakthroughs in intelligent systems.

    Read the full brief →Read original ↗

  2. 02 / Sequoia Capital

    Pace AI Automates Tedious Insurance Claims Processing, Freeing Professionals from Manual Workloads in Regulated Industries

    Insurance professionals often spend hours on manual tasks like reviewing claims and cross-referencing data, which is essential but exhausting. Pace's AI agents handle these processes automatically by analyzing documents and interacting with systems, allowing workers to focus on higher-value activities. This innovation is already in use at major insurers, processing thousands of tasks monthly.

    Why it matters

    The rise of AI tools like Pace could transform regulated industries by boosting efficiency and reducing errors in routine operations. This trend may accelerate digital adoption across sectors, as predicted by experts, leading to broader workforce changes. Ultimately, it highlights how AI is bridging the gap between demos and real-world enterprise applications.

    Read the full brief →Read original ↗