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Artwork for Artificial Developer Intelligence

Artificial Developer Intelligence

Shimin Zhang, Dan Lasky, & Rahul Yadav
Openai
Artificial Intelligence
Anthropic
Claude Code
Nvidia
Software Engineering
Elon Musk
Brex
AI Benchmarks
AGI
Groq
Gastown
Gpt-5.2
Claude Agent Skills
Gemini 3.5 Flash
AI Burnout
Gemini 3
Pentagon
Gemma 4
Claude Opus 4.6

Three engineer friends argue about AI so you don't have to. Shimin Zhang, Dan Lasky, and Rahul Yadav are working developers who've been watching AI transform their profession in real time, and they got opinions on the robot takeover. Every week the three get together to riff on the latest AI news, geek out over research papers, roast each other's tool choices, and occasionally have an existential ... more

PublishesWeeklyEpisodes31Founded7 months ago
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Artwork for Artificial Developer Intelligence

Latest Episodes

MidJourney — the AI image company — just quit image generation to build 50,000 spas that scan your body slice by slice. Then the week got weirder.

Co-hosts: Shimin Zhang, Dan Lasky, Rahul Yadav.

▸ SpaceX buys Cursor — Elon's SpaceX (xAI/"Grok Curso... more

Three days after Fable 5 launched, the US government banned it — for every foreign national on Earth, including Anthropic's own employees. Then it got weirder.

This week on ADI Pod: the Fable 5 export ban, Meta's applied-AI "gulag," the Elias Thorne... more

"I think this is the first time ever where the user has no control over which model you're actually using." — Shimin on Fable 5's safety fallback, which answers blocked questions with Opus 4.8 instead.

This week on ADI Pod: Anthropic ships Fable 5 a... more

"Every time you vibe code, you're gonna spend compute to skip the bottleneck of code review." — Shimin's cold open on ep-28. Trading compute for human labor: that's the default that's coming.

This week on ADI Pod: Claude Opus 4.8 and Anthropic's dyn... more

Key Facts

Accepts Guests
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Recent Guests

David Ng
Writer of the LLAM Neural Anatomy blog post; head of AI product and engineering at UMD
UMD
Episode: LLM Neuralanatomy with David Noel Ng, Forward Deployed Everybody, Preferences Revealed by AI
Nathan Lubchenco
Machine Learning Engineer, Substack author
Substack / The Future Was Yesterday
Episode: Why Models Over-Edit Your Code, Meta Keystroke Surveillance, Interviewing Engineers in the AI Age
Martin Alderson
Hacker News blogger all-star; co-founder of Catch Metrics
Catch Metrics
Episode: Pentagon Anthropic Drama, Verified Spec-Driven Development, and Interview with Martin Alderson!

Hosts

Shimin Zhang
Host with a focus on AI tooling and engineering practices; provides leadership in discussions and introduces topics.
Dan Lasky
Co-host providing analysis and commentary; anchors technical debates with practical engineering insights.
Rahul Yadav
Co-host and engineer who contributes practical perspective on AI adoption in software development.

Reviews

5.0 out of 5 stars from 9 ratings
  • Approachable and to the point

    This podcast is the main source I use to stay up to date on what’s going on in AI tech. It’s very approachable to me as a staff engineer who hasn’t been paying much attention to AI developments and doesn’t have deep knowledge of AI concepts. Many other AI podcasts are difficult to follow but this one uses more high level concepts, and then gets into thoroughly explained details in the technique section that are usually easy to understand.

    Apple Podcasts
    5
    Milky Way Porcupine
    United States3 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Hosts' banter keeps topics engaging without sacrificing depth.
Loved for approachable AI news and deep dives into techniques.
Appreciated for practical tips that apply to real-world coding.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#174
South Africa/Technology

Talking Points

Recent interactions between the hosts and their guests.

LLM Neuralanatomy with David Noel Ng, Forward Deployed Everybody, Preferences Revealed by AI
Q: What motivated your ALM Neural Anatomy experiments and how did you approach testing layers and blocks to find the most effective configuration?
Ng explains beam-search experiments over multiple model layers, testing single and repeated blocks across Llama 2 and Qwen35 families, and using a meta-model to predict performance; the surprising result was that simple repeated blocks often outperform complex multi-block configurations, with layer 33-35 being particularly effective.
LLM Neuralanatomy with David Noel Ng, Forward Deployed Everybody, Preferences Revealed by AI
Q: Can you tell us a little bit about how you went from a PhD in organic chemistry to AI and neurobiology-inspired machine learning work?
David Ng describes a journey from brain-focused biosensor work and optogenetics into AI, driven by the rapid pace of AI development and the parallel between neural data processing and model inference, ultimately applying neuroanatomy concepts to AI architectures and moving into AI product and engineering roles.
Why Models Over-Edit Your Code, Meta Keystroke Surveillance, Interviewing Engineers in the AI Age
Q: Nathan, how did you arrive at the idea of interviewing software engineers in the age of AI, and what did you discover while writing Integrating Software Engineers in the Age of AI?
Nathan explains his journey from philosophy to data science and engineering, how experimental philosophy informs empirical questions about AI, and how take-home tests and realistic coding scenarios can improve hiring signals in an AI-heavy landscape.

Audience Metrics

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Listeners per Episode
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Frequently Asked Questions About Artificial Developer Intelligence

What is Artificial Developer Intelligence about and what kind of topics does it cover?

Three engineers riff on AI from the trenches, mixing news, in-depth technique, and hands-on experimentation with open models, agent-based orchestration, and practical tooling. Episodes balance high-signal debates on multi-agent systems, RSI, and the economics of AI deployments with approachable explanations of complex concepts, ongoing industry drama, and candid field observations. A signature blend of sharp analysis, humor, and confrontations about the craft's future makes it likely to appeal to senior developers, engineers exploring AI tooling, and teams evaluating AI enablement at scale. Notable strengths include accessible explanations of technical topics, strong chemistry among hosts, and a running doomsday-style humor about the AI hyp... more

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1. The AI Daily Brief: Artificial Intelligence News and Analysis
2. The Pragmatic Engineer
3. The Headlines
4. Planet Money
5. Darknet Diaries

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Artificial Developer Intelligence launched 7 months ago and published 31 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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Recent guests on Artificial Developer Intelligence include:

1. David Ng
2. Nathan Lubchenco
3. Martin Alderson

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