Almost Human Podcast Por Eden Shochat arte de portada

Almost Human

Almost Human

De: Eden Shochat
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Almost Human is a podcast about how AI is reshaping the world faster than we can keep up and how it’s changing the way we see ourselves in the process.
Episodios
  • Shai Wininger Takes on AI-first Product Organizations

    Shai Wininger Takes on AI-first Product Organizations
    Feb 10 2026
    MIT famously claims that 95% of AI projects fail, not because the models don’t work, but because organizations aren’t built for AI. In this episode of Almost Human, Shai Wininger, Co-Founder & President of Lemonade, explains how one of the most AI-native consumer companies rebuilt its product org, workflows, and technology stack to make AI work in production in one of the most regulated industries in the world. We unpack Lemonade’s internal LoCo platform (an LLM-first, no-code insurance application builder), why “engineers writing code” is being replaced by engineers writing text configuration, and how specs are evolving from static Google Docs into tests that define when an AI agent is done. Shai shares: Why 1 engineer + AI tools can now replace traditional teams How Lemonade iterates on pricing, underwriting, and claims with AI at scale Why tests act as guardrails and reward functions for AI agents How product specs, workflows, and artifacts are changing What an AI-native product organization will look like 12 months from now How to build AI systems that self-heal, self-improve, and eventually pursue business goals This episode is a tactical playbook for founders and product leaders who want AI to be a durable capability, not a perpetual experiment. Please rate this episode 5 stars wherever you stream your podcasts!
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    32 m
  • Assaf Elovic Takes on the SMB AI Revolution

    Assaf Elovic Takes on the SMB AI Revolution
    Dec 9 2025
    What does “Head of AI” actually mean inside a company like Monday.com and why are SMBs such an insane AI opportunity? In this episode, Eden talks with Assaf Elovic, Head of AI at Monday.com, about bringing a massive SaaS company from “almost no AI” to AI products that ship real value across millions of users. Assaf shares how his role evolved from a 0→1 “startup inside Monday” to building an internal AI platform and culture the whole company can build on. They break down why AI is 10% model, 90% workflows and culture, and why SMBs don’t need more magical chatbots - they need AI that is transparent, constrained, and deeply tied to the way they already work. Assaf walks through Monday’s first failed AI co-pilot, why users didn’t know what to ask, and how they reversed course by killing the chat, embedding AI Blocks directly into boards, and then adding explainability and feedback to rebuild trust. From there, they zoom out to how Monday runs AI internally: AI Champions across departments, an “AI month” where everyone paused roadmaps to build AI, and a bottom-up culture where people share new papers and tools because they’re genuinely afraid to miss the next unlock. For founders, Assaf and Eden get tactical: Why risk analysis with generic LLMs backfired and what it taught them about subjective risk and domain-specific models How to think “business problem → research task → product,” instead of doing cool research and hoping it lands A simple framework for interviewing SMBs and finding a first workflow worth automating Why a two-person startup today should be obsessed with voice agents and narrow, high-value workflows If you’re building AI for real businesses, especially SMBs, this episode is a playbook on turning research into product, closing the trust loop with users, and using AI to actually do the work, not just manage it. Please rate this episode 5 stars wherever you stream your podcasts!
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    25 m
  • Zeev Farbman Takes on Real-Time Diffusion Models

    Zeev Farbman Takes on Real-Time Diffusion Models
    Nov 26 2025
    What if video wasn’t a file you export, but a service that responds to every viewer in real time? In this episode, Eden Shochat talks with Lightricks co-founder & CEO Zeev Farbman about LTX 2, their real-time video diffusion model that runs on edge devices (phones and gaming GPUs) instead of giant cloud data centers. They break down: Why “every pixel is programmable” is the real story behind diffusion models How we got from Facetune to a real-time video engine Why edge AI might beat cloud APIs for the next wave of products China’s open-weight strategy vs the West’s closed, API-first approach What happens when you can personalize every ad impression with generated video Why foundation models are a fast-depreciating asset and where the real moats will be How Lightricks thinks about being both a product company and a platform/API The coming shift from blank 3D scenes to “never start from scratch” creative workflows The sci-fi idea from Neal Stephenson’s Diamond Age that Zeev would build as a startup today If you’re a founder, engineer, or creator thinking about the future of video, gaming, or adtech, this episode is a playbook for what’s now possible when real-time, per-user video runs on everyday hardware. Please rate this episode 5 stars wherever you stream your podcasts!
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    40 m
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A ton of information, easily digestible. Eden brings experts to teach complicated AI topics in ways the avg Joes could understand. Love that there are tangible takeaways in each episode that I could apply to my life and career in today’s tech/AI world.

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