Inference by Turing Post
Inference by Turing Post
Podcast Description
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.
Podcast Insights
Content Themes
The podcast explores themes centered on AI development, coding philosophy, and AI challenges. Key episodes include discussions on the future of coding with Amjad Masad reflecting on AI agents and their role in software development, Sharon Zhou dissecting AI hallucinations and the importance of grounding benchmarks in reality, and Mati Staniszewski tackling real-time language translation and maintaining emotional nuance in AI voice synthesis, illustrating a commitment to thoughtful, nuanced explorations of AI's impact on society.
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.
GitHub’s CPO Mario Rodriguez on how AI agents transformed the platform in December 2025 — record commits, new Copilot direction, and what “agent-native” coding actually means for developers.
What happened to GitHub then? Record acceleration across commits, PRs, Actions, and security scans – and a fundamental rethink of what GitHub even is.
*In this episode of Inference, we get into:*
The December 2025 capability jump
GitHub’s massive scale challenge
“Low floor, high ceiling” – why lowering the barrier to creation may be the biggest GDP unlock in history
The Mozart problem: how many geniuses never had access to a piano – and why AI changes that
From UI → UX → AX:
The new Compiler app and “canvases” – bidirectional surfaces where humans and agents co-create in real time
Why Mario is anti-parallelization hype: “You could parallelize yourself to no value at all”
Macro vs. micro delegation
Why CoPilot will always be co-pilot, not pilot – and where the human stays in the loop
We also talk about the redefinition of “developer,” why creation (not efficiency) drives human progress, and how GitHub plans to serve both the first-time builder and the Picasso-level craftsman on the same continuum.
This is a conversation about the future of software, the role of the human, and what it means when everyone becomes a builder. Watch it!
*Guest:*
Mario Rodriguez, Chief Product Officer at GitHub:
https://www.linkedin.com/in/mariorodriguez3/
https://x.com/mariorod1
https://github.com/mariorod
*Chapters:*
0:00 Intro — GitHub’s Agentic Future
0:35 What Changed When AI Agents Started Working
4:41 The Engineering Challenges of Explosive AI-Driven Growth
6:59 GitHub’s New Mission: Lower the Floor, Raise the Ceiling
9:58 Why AI Will Create More Builders, Not Fewer Developers
11:44 From UI to AX: Designing an Agent-Native GitHub
14:54 Is Everyone a Developer Now?
17:54 Advice for Young Developers in the AI Era
19:28 The Art of Micro-Delegation with AI Agents
21:14 Copilot Pricing, Token Costs, and Smarter AI Usage
24:40 AGI, Human Progress, and the Future of Creation
27:22 Why Humans Will Stay in the Loop Forever
29:24 The Books and Ideas That Shaped Mario Rodriguez
*Follow on*: https://www.turingpost.com/
📖 Related reading on turingpost.com:
→ AI Agents Vocabulary: https://www.turingpost.com/p/agentsvocabulary
→ The AI Software Stack Explained: https://www.turingpost.com/p/aisoftwarestack
→ Inside Cognition — Devin and the Coding Agent Era: https://www.turingpost.com/p/cognition
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