Hardware Podcasts

Character Limit with Kate Conger and Ryan Mac

Oxide and Friends · 17 Apr 2025 · 1h 27m · Episode 13

What this episode covers

Kate Conger and Ryan Mac, authors of the book Character Limit, discuss Elon Musk's acquisition of Twitter and his subsequent management chaos with hosts Bryan Cantrill and Adam Leventhal. The conversation details how Musk's lack of due diligence, paranoia, and managerial incompetence led to the destruction of Twitter's culture and infrastructure, including the firing of thousands of employees and the bot problem. The authors explain how these events serve as a playbook for Musk's current involvement in the Department of Government Efficiency (DOGE) and his recent financial maneuvers involving X and xAI.

Most relevant to

large enterprises

Topics

Mentioned

Companies
Twitter, X, xAI, Tesla, SpaceX, OpenAI
Products
Character Limit, Grok
Also
DOGE, Walter Isaacson, Gwen Shotwell, Ben Shotwell, Linda Yaccarino, Parag Agarwal, Alex Spiro, Esther Crawford, Donald Trump, Joe Biden, Andy Grove, Paul Graham, Pete Navarro, Jonah Swan, Maggie Haberman

Related episodes from other shows

Other shows on the same ground, closest first.

  • How I Built This · 36m

    HIBT Lab! Burn Rate: Andy Dunn

    Andy Dunn, co-founder of Bonobos, discusses his new book, Burn Rate, and his public disclosure of living with bipolar disorder. He details a severe manic episode in 2016 that led to hospitalization and arrest, which occurred while he was navigating the acquisition of Bonobos by Walmart for $300 million. Dunn explains how he managed the illness in secret while running the company, eventually finding effective treatment through medication and therapy, and now advocates for mental health transparency in the workplace.

    Founder wellbeingGrowth, exits & acquisitions
    8 chapters

  • How I Built This · 22m

    Live From The HIBT Summit: Kevin Systrom & Mike Krieger Of Instagram

    Kevin Systrom and Mike Krieger, co-founders of Instagram, discuss their lives after stepping down from the company they sold to Facebook for a billion dollars. They reflect on the transition from running a massive platform to being beginners again, the challenges of scaling social media responsibly, and the enduring trust in their co-founder relationship that allowed them to navigate both the company's growth and their departure.

    Growth, exits & acquisitionsLeadership, teams & culture
    7 chapters

  • Built 2 Scale · 20m

    Tool of the Week Segment | Episode 31

    Hosts Matt Perrott and Scott Wilcox discuss strategies for founders, starting with a recommendation of David Senra's 'Founders' podcast, which distills biographies of figures like Elon Musk and James Dyson. They emphasize the importance of curating one's content diet to avoid doom-scrolling and the necessity of knowing oneself before hiring. The conversation concludes with advice on clarifying vision in writing and prioritizing three foundational roles: Product (CTO), Brand (CMO), and Distribution (Head of Sales).

    Leadership, teams & cultureHiring & workforce
    6 chapters

  • How I Built This · 29m

    HIBT Lab! WeWork: Miguel McKelvey

    Miguel McKelvey, co-founder of WeWork, reflects on the company's rapid expansion following a $4 billion SoftBank investment, explaining how the shift to capturing market share over profitability led to unsustainable losses and a failed IPO. He discusses the cultural impact of Adam Neuman’s leadership, the painful downsizing during the pandemic, and his decision to leave the company in 2020. McKelvey now focuses on supporting excluded entrepreneurs through his financial platform Known and his new company, Naya Studio, which builds physical businesses like the Shoot 360 basketball facility.

    Growth, exits & acquisitionsLeadership, teams & culture
    8 chapters

  • Embedded.fm · 1h 10m

    275: Don't Do What the Computer Tells You

    Janelle Shane, creator of the AI Weirdness blog and author of the upcoming book 'You Look Like a Thing and I Love You', explains how character-level Recurrent Neural Networks (RNNs) generate surreal and often hilarious outputs like paint colors, ice cream flavors, and cocktails. She details the technical limitations of these models, such as short memory windows and lack of semantic understanding, which lead to nonsensical results like 'raspberry turd' pony names or recipes requiring a blender for 2 hours. Shane also discusses the dangers of algorithmic bias in serious applications, citing Amazon's failed resume screener, and contrasts the limited 'jellyfish-level' intelligence of current AI with the complexity of biological neural networks.

    AI & machine learningDebugging & failure analysis
    7 chapters

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Oxide and Friends. The episode itself belongs to its publisher.