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Inference by Turing Post
Turing Post
13 episodes
1 week ago
Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads. Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes. It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions. If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
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Technology
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Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads. Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes. It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions. If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.
Show more...
Technology
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Why AI Still Needs Us? A conversation with Olga Megorskaya, CEO of Toloka
Inference by Turing Post
29 minutes
4 months ago
Why AI Still Needs Us? A conversation with Olga Megorskaya, CEO of Toloka
In this episode, I sit down with Olga Megorskaya, CEO of Toloka, to explore what true human-AI co-agency looks like in practice. We talk about how the role of humans in AI systems has evolved from simple labeling tasks to expert judgment and co-execution with agents – and why this shift changes everything. We get into: - Why "humans as callable functions" is the wrong metaphor – and what to use instead - What co-agency really means? - Why some data tasks now take days, not seconds – and what that says about modern AI - The biggest bottleneck in human-AI teamwork (and it’s not tech) - The future of benchmarks, the limits of synthetic data, and why it is important to teach humans to distrust AI - Why AI agents need humans to teach them when not to trust the plan If you're building agentic systems or care about scalable human-AI workflows, this conversation is packed with hard-won perspective from someone who’s quietly powering some of the most advanced models in production. Olga brings a systems-level view that few others can – and we even nerd out about Foucault’s Pendulum, the power of text, and the underrated role of human judgment in the age of agents. Did you like the episode? You know the drill: 📌 Subscribe for more conversations with the builders shaping real-world AI. 💬 Leave a comment if this resonated. 👍 Like it if you liked it. 🫶 Thank you for watching and sharing! Guest: Olga Megorskaya, CEO of Toloka 📰 Want the transcript and edited version? Subscribe to Turing Post https://www.turingpost.com/subscribe Chapters 0:00 – Intro: Humans as Callable Functions? 0:33 – Evolving with ML: From Crowd Labeling to Experts 3:10 – The Rise of Deep Domain Tasks and Foundational Models 5:46 – The Next Phase: Agentic Systems and Complex Human Tasks 7:16 – What Is True Co-Agency? 9:00 – Task Planning: When AI Guides the Human 10:39 – The Critical Skill: Knowing When Not to Trust the Model 13:25 – Engineering Limitations vs. Judgment Gaps 15:19 – What Changed Post-ChatGPT? 18:04 – Role of Synthetic vs. Human Data 21:01 – Is Co-Agency a Path to AGI? 25:08 – How To Ensure Safe AI Deployment 27:04 – Benchmarks: Internal, Leaky, and Community-Led 28:59 – The Power of Text: Umberto Eco and AI 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 If you’d like to keep following Olga and Toloka: https://www.linkedin.com/in/omegorskaya/ https://x.com/TolokaAI Ksenia and Turing Post: https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase
Inference by Turing Post
Inference is Turing Post’s way of asking the big questions about AI — and refusing easy answers. Each episode starts with a simple prompt: “When will we…?” – and follows it wherever it leads. Host Ksenia Se sits down with the people shaping the future firsthand: researchers, founders, engineers, and entrepreneurs. The conversations are candid, sharp, and sometimes surprising – less about polished visions, more about the real work happening behind the scenes. It’s called Inference for a reason: opinions are great, but we want to connect the dots – between research breakthroughs, business moves, technical hurdles, and shifting ambitions. If you’re tired of vague futurism and ready for real conversations about what’s coming (and what’s not), this is your feed. Join us – and draw your own inference.