Inference by Turing Post

We're no longer in the world of chatbots – we're in the world where AI systems take real-world action. So what does responsible AI even mean when agents write the code, review the code, and act across organizational boundaries?

Sarah Bird, Chief Product Officer of Responsible AI at Microsoft, has been in this field since it was a niche. Now it's everywhere. In this episode of Inference, she explains why the entire software development lifecycle is changing – and why human oversight has to evolve with it.

*In this episode of Inference, we get into:*
- Why "responsible AI" is the wrong framing – and why "trustworthy AI" matters more 
- What changes when agents write the code AND review the code 
- Why open-sourcing responsible AI tools is non-negotiable – "we don't want to be competing on this" 
- The dual-use problem: AI that finds vulnerabilities helps defenders AND attackers 
- Why fixing it "in the model" sounds easy but doesn't work – and who's actually responsible at each layer 
- The shift from chat to agentic to physical AI – and why consequences scale dramatically 
- What kids should learn about AI: the "stoplight" framework from New South Wales schools 
- Why Sarah is surprisingly optimistic – and why low p(doom) is a rational position 
- The three problems her team is solving right now: emerging risks, agent governance, and the new software lifecycle

We also talk about regulation, why responsible AI requires linguists alongside engineers, the rise of "psychosocial risk," and why humans + AI is more exciting than AGI alone.

This is a conversation about what it actually takes to make AI systems we can trust – and why humans are not optional. *Watch it!*

*Guest:* 
Sarah Bird, Chief Product Officer of Responsible AI at Microsoft https://www.linkedin.com/in/slbird/ 
https://x.com/slbird   
https://www.microsoft.com/en-us/ai/responsible-ai 

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📰 Want the transcript and edited version? Subscribe to Turing Post: https://www.turingpost.com/subscribe

*Chapters:*
0:00 Is Responsible AI Possible?
1:21 The Pace of AI Innovation
3:10 Tools: Assert & Agent Control
5:21 Defining Trustworthy Contexts
6:38 Diverse Teams & Cross-Domain Work
8:16 The Need for Regulation
11:37 Defining AGI & Human-in-the-Loop
13:55 Limits of Agent Delegation
16:12 Generative vs. Physical AI
17:25 Addressing Accountability
20:36 User Responsibility & Best Practices
22:01 AI Literacy for Children
23:28 Democratizing Innovation
29:21 Three Strategic Focus Areas
31:37 Book Recommendation: The Culture Map

*Turing Post* is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live.

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#ResponsibleAI #Microsoft #AIAgents #AGI #TrustworthyAI #AIGovernance #AIRisk #SarahBird

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
*Did you like the episode? You know the drill:*
📌 Subscribe here and here (https://www.turingpost.com/subscribe) for more conversations with the builders shaping real-world AI.
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👍 Like it
🫶 Thank you for watching and sharing!
#GitHub #AI #AIAgents #Developers #Copilot #VibeCoding #AgenticAI #futureofcoding #githubcopilot #AIagents2026 #GitHubCPO #agenticcoding #futureofdevelopers #GitHubAI #codingagents #GitHub2026 #turingpost

What does it really take to put AI-powered building into the hands of millions and even billions – and what happens when everyone becomes a builder? How to do impossible things?
Ammaar Reshi leads Product and Design at Google AI Studio (DeepMind). His path is unusual: from writing iPhone app reviews as a teenager, to Palantir, Brex, and ElevenLabs, to now designing how millions of people build apps with AI in Google. His philosophy is simple – nothing is impossible, it's just time and iteration, and you learn by making and showing your work openly. Ammaar has a great energy and insights into how to stay relevant with AI.
*In this episode of Inference, we get into:*
How "tap, tap, tap" prompting helps anyone write rich specs without knowing what an NPM package is
Why the chat interface is evolving into something more like Slack – with daily standups with your agents
The case for abstraction: hiding Firebase, OAuth, and the messy parts from people who just want to build
Why speed (not intelligence) is now the real bottleneck for AI building
The gap between a stunning demo and a product that serves billions
How Ammaar is retraining Google itself – PMs across the company learning to vibe code and come up with amazing ideas
Why Ammaar open-sources almost every demo he builds – and how that inspires the next wave of builders
Ammaar's definition of AGI and lessons from Steve Jobs and Aurelius
A conversation about building, designing, and the new relationship between humans and intelligent tools. Watch it!
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: Ammaar Reshi, Lead Product + Design at Google AI Studio (DeepMind) https://www.linkedin.com/in/ammaarsreshi https://x.com/ammaar https://ammaar.me
📰 Want the transcript and edited version? Subscribe to Turing Post: https://www.turingpost.com/subscribe
Turing Post is a newsletter about AI's past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live.
Sign up: https://www.turingpost.com
Follow us - https://x.com/TheTuringPost https://www.linkedin.com/in/ksenia-se https://huggingface.co/Kseniase
#AI #GoogleAIStudio #DeepMind #VibeCoding #AIAgents #AGI #Gemini

Eric Ries, author of The Lean Startup, on why success corrupts companies faster than failure — and how AI will accelerate that collapse if builders don't protect their mission from day one.
Eric Ries, entrepreneur and author of The Lean Startup and Incorruptible, argues that the more valuable a company becomes, the more pressure it faces to make money without creating real value. In other words: corruption in business doesn’t begin at the margins. It begins when builders stop protecting what made their company worth building in the first place.
*In this episode of Inference, we get into:*
- Why every successful company eventually becomes a target
- What “corruption” really means in business
- Why it’s always too early to protect your mission – until it’s too late
- How trust and love become real competitive advantages, not just soft language
- What Eric means by “financial gravity” and how companies get pulled into mediocrity
- How mission-driven companies can “bend the light” and shape the economy around them
- Why younger generations no longer trust institutions – and what builders must replace
- How AI will accelerate institutional collapse if we use it only for cost-cutting
- Whether AI could become a “mission guardian” inside companies
- What it would mean to redefine capitalism around human flourishing
We also talk about private equity, broken incentives, collapsing institutions, the civic consequences of replacing old systems with new technologies, and why the next generation of founders may have to rebuild far more than startups – including the trust infrastructure of society itself.
This is a conversation about business, power, values, and what it takes to build something that can survive success without losing its soul. It’s truly a must watch.
*Guest:*
Eric Ries, entrepreneur, author of The Lean Startup and Incorruptible
🔗 LinkedIn: https://www.linkedin.com/in/eries
🔗 X / Twitter: https://x.com/ericries
🔗 Incorruptible (new book): https://incorruptible.co
🔗 Lean Startup: https://leanstartup.co
#EricRies #Incorruptible #LeanStartup #AI #AGI #Startups #Entrepreneurship #Capitalism #Trust #Innovation

*Turing Post* is a newsletter about AI’s past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.
📖 Why AI transformation is harder than it looks: https://www.turingpost.com/p/orgage1
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"The numbers of people who are going to be able to become AI builders is going to explode. It's gonna go from maybe a few hundred thousands or low millions… to maybe tens of millions, fifties of millions, maybe a hundred million at some point."
Clément Delangue, co-founder and CEO of Hugging Face, believes we are entering a new phase of AI – one where building models, fine-tuning systems, running local AI, and even experimenting with robotics may no longer be limited to a small technical elite.
His passion for open source is very contagious! I enjoyed chatting with him about:
Why the next wave of AI builders won't be traditional engineers – and how that could push the field beyond slop toward biology, medicine, and climate
What open source actually solves in cybersecurity – and why "safety" is often a cover story for business strategy
Why lobbying against open source in the US would be a strategic mistake that could cost the country its AI leadership
Why comparing open weights to closed APIs is irrelevant and why benchmarks miss what really matters
What Hugging Face is learning as agents become a new kind of user
How LeRobot and Reachy Mini are turning AI into something people lile
Why training, fine-tuning, and post-training on your own data are becoming the real differentiators as building apps gets trivial
What three months of paternity leave taught Clem
We also talk about fear-based AI marketing, how public perception shifts the moment people build with AI, what's missing in robotics datasets, and why Clem keeps coming back to Camus' Sisyphus as a metaphor for being a founder right now
A conversation about agency, openness, and what it means to democratize AI before it gets locked down. Watch it.
*Chapters:*
00:00 AI Builders Are About to Explode
00:35 Why Coding Agents Still Struggle with AI
02:23 100 Million AI Builders
03:30 Non-Technical People Entering AI
05:15 How Building AI Can Change Public Perception
06:22 Who Can Make AI More Open?
08:02 Fear-Based Marketing in AI
09:33 Open Source, Cybersecurity, and Risk
12:31 Why Companies Don’t Open Source
14:30 Lobbying Against Open Source
17:24 What Changed During Paternity Leave
19:11 Making Hugging Face Agent-Native
21:00 Hugging Face Robotics and LeRobot
23:01 Local AI, Open Models, and the Future
*Did you like the episode? Do the following:*
📌 Subscribe here and here (https://www.turingpost.com/subscribe) for more conversations with the builders shaping real-world AI.
💬 Leave a comment
👍 Like it
🫶 Thank you for watching and sharing!
*Guest:*
Clément Delangue, co-founder & CEO of Hugging Face
https://x.com/ClementDelangue
https://www.linkedin.com/in/clementdelangue
https://huggingface.co/clem
https://huggingface.co/
*Projects discussed:*
ML Intern
LeRobot
SO-101 / LeRobot docs
📰 Want the transcript and edited version?
Subscribe to Turing Post: https://www.turingpost.com/subscribe
Turing Post is a newsletter about AI’s past, present, and future. Publisher Ksenia Se explores how intelligent systems are built – and how they’re changing how we think, work, and live.
Follow us - Ksenia and Turing Post:
https://x.com/TheTuringPost
https://www.linkedin.com/in/ksenia-se
https://huggingface.co/Kseniase
#HuggingFace #ClemDelangue #OpenSourceAI #LocalAI #AIAgents #RoboticsAI #LeRobot #MLIntern #AIBuilders #FutureOfAI