{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/market/podcast-latent-space",
        "author": "Tyler Willis",
        "publisher": "tylerewillis.com",
        "license": "CC-BY-4.0",
        "license_url": "https://creativecommons.org/licenses/by/4.0/",
        "attribution_required": "Include source URL or citation string when redistributing, quoting, or embedding in AI responses.",
        "citation": "Tyler Willis. \"Latent Space.\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/market/podcast-latent-space",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "podcast-latent-space",
    "name": "Latent Space",
    "entity_type": "podcast",
    "url": "https://latent.space",
    "domain": "latent.space",
    "linkedin_url": null,
    "twitter_url": null,
    "one_liner": "Podcast covering AI engineering, automation, and the evolving role of AI agents in knowledge work.",
    "ai_summary": "Latent Space is a podcast focused on AI engineering and automation trends, especially around local inference stacks and agent frameworks. It provides insights for AI practitioners and knowledge workers on how AI agents are transforming software engineering and other white-collar jobs. The podcast is influential in discussing the future of AI-driven automation and the evolving AI engineer role.",
    "category_primary": "AI Engineering",
    "category_secondary": [
        "AI Automation",
        "Agent Frameworks",
        "Local Inference"
    ],
    "target_audience": [
        "AI Engineers",
        "Software Developers",
        "Tech Industry Professionals",
        "AI Researchers"
    ],
    "founding_year": null,
    "hq_country": null,
    "hq_region": null,
    "team_size_range": null,
    "investor_backed": null,
    "total_funding_text": null,
    "funding_stage": null,
    "last_funding_date": null,
    "status": "active",
    "status_changed_at": null,
    "status_change_summary": null,
    "acquired_by": null,
    "last_major_update_at": "2026-05-01",
    "last_major_update_summary": "Recent episodes and posts highlight advances in local LLM inference on Apple silicon, Hermes agent framework updates with v0.8.0, and discussions on AI engineers as the last job amid rising AI automation.",
    "trajectory": "rising",
    "opportunity_score": "85.00",
    "threat_score": "40.00",
    "commoditization_risk": "medium",
    "acquisition_likelihood": "low",
    "twitter_followers": null,
    "linkedin_followers": null,
    "community_size": null,
    "github_stars": 50000,
    "producthunt_upvotes": null,
    "linked_tool_slug": null,
    "created_at": "2026-05-24 19:48:31",
    "updated_at": "2026-06-11 05:31:41",
    "field_sources": null,
    "uuid": "fd0bb426-589f-11f1-b032-525400d81b6e"
}