Inference by Turing Post

• When Will We Stop Coding? A conversation with Amjad Masad, CEO and co-founder @ Replit

  What happens when the biggest advocate for coding literacy starts telling people not to learn to code? In this episode, Amjad Masad, CEO and co-founder at Replit, joins me to talk about his controversial shift in thinking – from teaching millions how to code to building agents that do it for you. Are we entering a post-coding world? What even is programming when you're just texting with a machine?We talk about Replit's evolving vision, how software agents are already powering real businesses, and why the next billion-dollar startups might be solo founders augmented by AI. Amjad also shares what still stands in the way of fully autonomous agents, how AGI fits into his long-term view, and why open source still matters in the age of AI. Whether you're a developer, founder, or just AI-curious, this conversation will make you rethink what it means to “build software” in 2025. Did you like the video? You know what to do: Subscribe to the channel. Leave a comment if you have something to say. Like it if you liked it. That’s all. Thanks. Guest: Amjad Masad, CEO and co-founder at Replit Website: https://replit.com/~ Additional Reading: https://www.turingpost.com/p/amjad Chapters 00:00 Why Amjad changed his mind about coding 00:55 From code to agents: the next abstraction layer 02:05 Cognitive dissonance and the birth of Replit agents 03:38 Agent V3: toward fully autonomous software developers 04:51 Engineering platforms for long-running agents 05:30 Do agents actually work in 2025? 05:48 Real-world examples: Replit agents in action 06:36 Is Replit still a coding platform? 07:43 Why code generation beats no-code platforms 08:22 Can AI agents really create billionaires? 10:59 Every startup is now an AI startup 12:31 Solo founders and the rise of one-person AI companies 14:00 What Amjad thinks AGI really is 17:46 Replit as a habitat for AI 19:50 Open source tools vs internal no-code systems 21:02 Replit's evolving community vision 22:19 MCP vs A2A: who’s winning the protocol game 23:48 The books that shaped Amjad’s thinking about AI 25:47 What excites Amjad most about an AI-powered future Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Semenova explores how intelligent systems are built – and how they’re changing how we think, work, and live. Sign up: Turing Post: https://www.turingpost.com FOLLOW US Amjad: https://x.com/amasad Replit: https://x.com/replit Ksenia and Turing Post: Hugging Face: https://huggingface.co/KseniaseTuring Post: https://x.com/TheTuringPost Ksenia: https://x.com/Kseniase_ Linkedin: TuringPost: https://www.linkedin.com/company/theturingpost Ksenia: https://www.linkedin.com/in/ksenia-se

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• When Will We Solve AI Hallucinations? A conversation with Sharon Zhou, CEO @ Lamini

  In the episode 001: the incredible Sharon Zhou, co-founder and CEO of Lamini. She’s a generative AI trailblazer, a Stanford-trained protégé of Andrew Ng – who, along with Andrej Karpathy and others, is also an investor in her company Lamini. From co-creating one of Coursera’s top AI courses to making MIT’s prestigious “35 under 35” list, Sharon turns complex tech into everyday magic.She is also super fun to talk to! We discussed: – How to empower developers to understand and work with AI – Lamini's technical approach to AI hallucinations (it's solvable!) – Why benchmarks ≠ reality – A notable industry use case and the importance of focusing on objective outputs: Subjective goals confuse it! – And one of my favourite moments: Sharon crushes two of the hottest topics – agents and RAG. Turns out researchers don’t understand why there’s all this hype around these two. – We also talked about open-source and its importance. – And last but not least, Sharon (who teaches millions on Coursera) shared how to fight the lack of knowledge about AI. Her recipe: lower the barrier to entry, help people level up – plus memes! Please give this video a watch and tell us what you think! Likes and subscribing to the channel are hugely appreciated. 00:00 Intro & Sharon Zhou’s Early Days in GenAI 01:25 Maternal Instincts for AI Models 02:42 From Classics to Code: Language, Product, and AI 04:30 The Spark Behind Lamini 07:45 Solving Hallucinations at a Technical Level 09:20 Benchmarks That Matter to Enterprises 11:58 Staying Technical as a Founder 13:27 The Agent & RAG Hype: Industry Misconceptions 18:44 Use Cases: From Colgate to Cancer Research 20:07 The Power of Objective Use Cases 22:28 What Comes After Hallucinations? 23:21 Following AI Research (and When It’s Useful) 26:23 Open Source & Model Ownership Philosophy 28:06 Bringing AI Education to Everyone 32:36 AI Natives & Edutainment for the Next Gen 34:18 Outro Lamini Website - https://www.lamini.ai Twitter - https://x.com/laminiai Sharon Zhou LinkedIn - https://www.linkedin.com/in/zhousharon/ Twitter - https://x.com/realSharonZhou/ Turing Post Website - https://www.turingpost.com/ Twitter - https://x.com/TheTuringPost Ksenia Se (publisher) LinkedIn - https://www.linkedin.com/in/ksenia-se Twitter - https://x.com/kseniase_

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• When Will We Speak Without Language Barrier? A conversation with Mati Staniszewski, CEO @ ElevenLabs

  In this episode of Inference, I sit down with Mati Staniszewski, co-founder and CEO of ElevenLabs, to explore the future of AI voice, real-time multilingual translation, and emotionally rich speech synthesis. We dive into what still makes dubbing hard, how Lex Fridman's podcast was localized, and what it takes to preserve tone, timing, and emotion across languages. Mati shares why speaker detection in noisy rooms is tricky, how fast their models really are (70ms TTS!), and the deeper strategy behind partnering with creators and enterprises to show – not just tell – what the tech can do. What needs to happen for natural, free-flowing multilingual conversations to become reality? Mati says: give it two or three years. Watch to learn more! Guest: Mati Staniszewski, co-founder and CEO at ElevenLabs Website: https://elevenlabs.io/ Additional Reading: https://www.turingpost.com/p/mati Chapters 0:00 Real-time voice translation 0:11 Language barriers and AI 0:29 Why ElevenLabs started 0:36 Dubbing in Poland 0:45 Preserving emotion in translation 1:06 Tech challenges in real-time translation 1:17 Ideal device setup 2:32 Speaker diarization and emotional nuance 3:04 Speech-to-text to LLM to TTS pipeline 5:51 Concrete examples: healthcare & customer support 7:05 Real-time AI dubbing use cases 8:02 Lex Fridman podcast dubbing challenge 13:01 Audio model performance & latency 14:44 Conversational AI & multimodal future 16:57 Product vs research focus at ElevenLabs 20:42 Why ElevenLabs didn't open source (yet) 21:28 Strategy: creators, enterprises & brand building Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Semenova explores how intelligent systems are built—and how they’re changing how we think, work, and live. Sign up: Turing Post: https://www.turingpost.com FOLLOW US ON SOCIAL Twitter (X): Mati: https://x.com/matistanis ElevenLabs: https://x.com/elevenlabsio Turing Post: https://x.com/TheTuringPost Ksenia: https://x.com/Kseniase_ Linkedin: TuringPost: https://www.linkedin.com/company/theturing... Ksenia: https://www.linkedin.com/in/ksenia-se SUBSCRIBE TO OUR CHANNEL, SHARE YOUR FEEDBACK

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