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    About skim

    skim any YouTube video: just the parts that matter

    YouTube holds more than a billion videos and the world's biggest podcasts. Joe Rogan, Lex Fridman, Huberman Lab, ALL-IN, Diary of a CEO, PBD, Call Her Daddy, SmartLess, Theo Von, Tim Dillon, Tucker Carlson, Alex Hormozi, Jordan Peterson, and more than two hundred other channels.

    The skim platform is patent-pending. It plays only the parts that matter through YouTube's native player, so creators keep full credit. Views count, ads play, and watch time stays intact. Get through a three-hour Joe Rogan episode in thirty minutes. Catch a full Call Her Daddy in twenty. Every video also arrives with timestamped key points, a credibility read, a bias read, and claim-by-claim analysis, so you understand a long episode as fast as you move through it.

    Set your own pace with skim slices: Short for the gist, Medium when you have more time, and Relaxed to skip the filler and keep the rest. This patent-pending depth control is what lets you decide how much of an episode you actually watch. skim is the credibility layer of the internet, built by Silicon Valley veterans at Credible AI, and the full skim app suite is available at skim.plus.

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    Sam Altman On AI Revolution, Superintelligence & Future Of Humanity | FO583 Raj Shamani

    Tech1 of 8
    Sam Altman on AI Adoption and Market Growth in India
    India has become OpenAI's largest market by user count, driven by strong adoption and builder energy. Rapidly developing economies show higher openness to AI tools compared to mature markets.

    Sam Altman on Scaling Neural Networks and AI Intuition

    Early conviction in AI stemmed from observing super-linear returns when scaling system architecture. While mainstream academics favored symbolic logic, scaling neural networks demonstrated continuous emergent reasoning capabilities.

    Sam Altman on Bet-the-Company Compute Investments

    Following the completion of GPT-4 training in mid-2022, OpenAI elected to commit massive capital toward purchasing compute infrastructure. This decision was made before public release or external validation of the model's capabilities.

    Sam Altman on Finding Contrarian Startup Bets

    Building truly transformative ventures requires taking non-consensus positions where expected value is immense despite initial low status. Most founders fail to pursue ambitious moonshots due to social and evolutionary pressures to remain within the consensus.

    Sam Altman on Early Releases and User Feedback Loops

    Launching ChatGPT early was contested internally due to low 5% retention figures on initial prototypes. However, the intense dedication of that core user subset justified releasing the product to gather real-world data and iterative feedback.

    Sam Altman on AI Governance and Power Pluralism

    Concentration of AI capability in a single corporation or nation poses severe societal risks, alongside potential loss-of-control scenarios. A healthier ecosystem relies on multiple competing initiatives pursuing distinct architectural approaches.

    Sam Altman on Executive Departures and Lab Culture

    High turnover among founding researchers in frontier AI labs stems largely from the existential stakes involved, leading executives to trust only their own oversight. OpenAI's primary innovation lies in reviving historical research lab culture.

    Sam Altman on AI Scientific Discovery

    The ultimate scientific frontier for artificial intelligence lies in accelerating novel discoveries across physics, mathematics, energy, and medicine to fundamentally advance human understanding.

    Sam Altman On AI Revolution, Superintelligence & Future Of Humanity | FO583 Raj Shamani
    RSRaj Shamani1h 8m