Artificial Developer Intelligence

Shimin Zhang, Dan Lasky, & Rahul Yadav
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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 crisis about whether the craft is dying or just getting weird. What you're signing up for: - AI news without the LinkedIn cringe: model drops, acquisitions, open-source drama, and the other stuff that actually matters if you write code for a living. - Technique corner: real tips from the trenches: spec-driven development, multi-agent orchestration, Claude.md tricks, and all the ways they've wasted hours so you don't have to. - Two Minutes to Midnight: the show's running AI bubble tracker, complete with circular funding diagrams, hyperscaler CAPEX math, and a doomsday clock they keep arguing about moving. - Deep dives that (occasionally) go deep: hallucination neurons, agentic memory, workflow automation economics, LLM architectures the papers nobody else is covering because they're hard. - Dan's Rant: Dan frequently gets mad about things. It's a whole thing. - The feelings segment: Yes, Shimin reads Tennyson on a tech podcast. Yes, Rahul wrote an AI-generated country song. No, they're not sorry. Three friends with strong opinions, questionable metaphors, and genuine love for the craft they're also mourning for. If you want to understand AI deeply, use it without embarrassing yourself, and laugh at the absurdity of it all, pull up a chair.

  1. −6 D

    Pentagon Anthropic Drama, Verified Spec-Driven Development, and Interview with Martin Alderson!

    In this episode, Dan, Shimin and Rahul cover the Pentagon drama between Anthropic/OpenAI and the Department of Defense over AI usage red lines, introduces Sterling 8B — the first inherently interpretable language model — and explores verified spec-driven development (VSDD). The episode features the show's first interview, with Martin Alderson discussing which web frameworks are most token-efficient for AI agents Takeaways Pentagon AI drama: Anthropic's contract red lines (no mass domestic surveillance, no autonomous weapons), the Department of Defense threatening to label Anthropic a supply chain risk, OpenAI swooping in with a competing contract under vague 'lawful use' terms, and Sam Altman's statementsSterling 8B by Guide Labs: first inherently interpretable LLM with concept attribution, input context tracing, and training data attribution; uses a concept head with orthogonal loss functions to create non-overlapping interpretable conceptsVerified Spec-Driven Development (VSDD): a methodology by DollSpace combining spec-driven development, TDD, and adversarial verification gates at each phase; Shimin tested it on a side project using Claude CodeInterview with Martin Alderson: web framework token efficiency experiment (19 frameworks, minimal frameworks like Flask/Express most efficient), new framework discovery in the AI age, using Open Code for CI/CD PR reviews, keeping Claude.md files updated via scheduled tasks, and building internal CLIs for agent accessTwo Minutes to Midnight: Citadel Securities report on AI adoption S-curves vs recursive improvement, Substack post that shook the S&P 500 about white collar job crisis, Block laying off 45% of workforce citing AI productivity gainsResources MentionedAnthropic and the Department of WarSam Altman's TweetOur agreement with the Department of War"All Lawful Use": Much More Than You Wanted To KnowSteerling-8B: The First Inherently Interpretable Language ModelVerified Spec-Driven Development (VSDD)Which web frameworks are most token-efficient for AI agents?The 2026 Global Intelligence Crisis‘A feedback loop with no brake’: how an AI doomsday report shook US marketsBlock shares soar as much as 24% as company slashes workforce by nearly halfEli Dourado's TweetChapters (00:00) - Introduction to ADI (02:55) - Pentagon Drama and AI Models (21:36) - OpenAI vs Anthropic: The Contract Controversy (28:19) - Innovations in AI: Interpretable Language Models (28:42) - Scaling Language Models and Their Implications (29:09) - Introduction to Verified Spec Driven Development (33:47) - Interview with Martin Alderson (55:21) - AI Bubble Watch: Current Trends and Predictions (58:47) - The Impact of AI on Job Markets (01:04:00) - Reflections on AI's Role in the Economy Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 9 min

  2. 27 FEB.

    Convincing AI the Earth is Flat, Inference at 17k tokens/sec, and an Agile Manifesto for the Agentic Age?

    This episode covers Sonnet 4.6 and Gemini 3.1 Pro model releases, Taalas Labs FPGA-based 17K tokens/sec hardware, the Meta-AMD chip partnership, Steven Sinofsky's argument against "software is dead," a deep dive into the ThoughtWorks Future of Software Engineering retreat findings (from Agile Manifesto signers), Chris Roth's elite AI engineering culture article, a Vibe & Tell segment testing agent sycophancy across three models, and AI bubble economics. Takeaways Sonnet 4.6: Opus-level reasoning at Sonnet pricing; 72.5 on OS World (vs 61.4 for Sonnet 4.5); outperforms Opus 4.6 on agentic financial analysis; trained for computer useTaalas Labs FPGA hardware: 17K tokens/sec for Llama 3.1 8B; Chat Jimmy demo; custom hardware as future of inferenceSteven Sinofsky "Death of Software: Nah": Historical parallels (PC didnt kill mainframes, e-commerce didnt kill retail in 20 years, media death premature); predictions: more software, AI moves up stack, domain expertise more important; Jevons paradox applied to softwareThoughtWorks Future of Software Engineering retreat: Agile Manifesto 25th anniversary; where rigor goes (spec-driven development, red-green tests); risk tiering for code review; loss of mentoring through code review; DevEx vs agent experience decoupling; security as afterthought; the "middle loop" (overseeing agents); cognitive debt; agent topology mirroring org structure; knowledge graphs rediscovered; future roles converging; revenge of juniors (IBM hiring); self-healing systems (2-5 year horizon)Vibe & Tell — Agent sycophancy testing: Flat earth test (all three models resisted); workplace bias scenario (Jim/Jane); GPT 5.1 Instant best (refused all manipulation); Claude Haiku second (too empathetic, admitted to nudging); Gemini 3 worst (agreed with bias claim); AI as therapist risks; radical candor vs ruinous empathyResources MentionedIntroducing Claude Sonnet 4.6The path to ubiquitous AIOpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chipsDeath of Software. Nah.The future of software engineeringBuilding An Elite AI Engineering Culture In 2026The Number Is Going UpAn AI coding bot took down Amazon Web Services Chapters (00:00) - Introduction to AI in Software Engineering (01:13) - Latest AI Models and Hardware Innovations (04:10) - The Future of AI Hardware (10:01) - The Death of Software Debate (19:35) - The Agile Manifesto and Its Evolution (33:39) - The Impact of AI on Development Teams (34:52) - The Future of Junior Developers (37:11) - Self-Healing Systems and AI Assistance (39:33) - Building an Elite AI Engineering Culture (45:27) - AI Experiment and AI Sycophancy (55:33) - The AI Bubble Clock and Economic Implications Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 4 min

  3. 20 FEB.

    Crabby Rathbun, Model Councils & Why You Want More Tech Debt

    This episode covers the Krabby Rathbun AI bot drama (automated PRs, fabricated hit piece, Ars Technica retraction), safety team shakeups at OpenAI and Anthropic, Gemini model distillation/cloning attempts, Perplexity model councils, and a heavily economics-flavored discussion on AI job displacement, tech debt as strategy, cognitive debt, and workflow automation convexity. Takeaways Ars Technica AI-generating an article about an AI bot drama — and getting caught fabricating quotes — is peak 2026 ironyDistillation/cloning is an unsolvable problem for frontier labs — they cant restrict usage without banning legitimate usersModel councils (running multiple models + synthesis) becoming practical; strongest model as judge, not necessarily the one generating answersCognitive debt may be more dangerous than tech debt — teams hit a wall when no one understands the codebase, usually around week 7-8 of heavy AI-assisted developmentWorkflow automation follows convexity: long period of minimal AI impact on jobs, then sudden full automation when AI can handle entire connected workflows, not just individual tasksResources MentionedAn AI Agent Published a Hit Piece on MeAI Bot crabby-rathbun is still goingExclusive: OpenAI disbanded its mission alignment teamMrinank Sharmas Departure LetterAttackers prompted Gemini over 100,000 times while trying to clone it, Google says Introducing Model Councilllm-councilWhy I’m not worried about AI job lossYou’re Not Taking On Enough Tech DebtHow Generative and Agentic AI Shift Concern from Technical Debt to Cognitive DebtWorkflows and AutomationPremium: The AI Data Center Financial CrisisThe SaaSpocalypse Paradox Chapters (00:00) - Introduction and Lunar New Year Celebrations (02:44) - AI Bot Controversy: Krabby Rathburn (05:04) - AI Alignment and Departures in Major Labs (07:39) - Google's Gemini and AI Cloning Concerns (10:08) - Tool Shed: Exploring Model Consoles (12:28) - Distillation and AI Model Development (21:11) - Model Pledge Drive and Console Approaches (23:07) - Post-Processing and AI's Impact on Work (23:57) - AI's Role in Job Security and Economic Productivity (30:30) - Reverse Centaurs and Naming Conventions (32:09) - Tech Debt and Cognitive Debt (36:24) - Cognitive Debt in AI-Assisted Programming (48:16) - Cultural Shifts in Responsibility (49:13) - Exploring Workflow and Automation (52:07) - The Impact of AI on Job Structures (54:23) - Tolerance for AI Mistakes (56:59) - Documenting Knowledge for AI (57:24) - Bifurcation of Tasks and Automation (59:34) - The Future of Meetings in an AI World (01:00:21) - State of the AI Bubble (01:03:41) - Market Dynamics and Investment Strategies Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 12 min

  4. 13 FEB.

    Episode 13: Pi Coding Agent, Dark Factories & the Furniture Makers of Carolina

    This episode covers the simultaneous release of Claude Opus 4.6 and GPT Codex 5.3, a deep dive into the Pi coding agent framework and why Shimin prefers it over Claude Code, AI security industry criticism, software dark factories, an emotional segment mourning the craft of programming, Claude Code's new /insights command, and AI bubble economics including Anthropic's $20B raise, Google's 100-year bond, and Oracle's $50B debt plans. Takeaways  The biggest compliment for Codex 5.3 is that it feels like Claude Code now Opus 4.6 auto-drops into plan mode and offers to clear context after planning — writes plan.md it can follow across interruptionsPi agent's skill-based approach may represent the bitter lesson of AI tooling — less scaffolding, more model intelligenceThe "everyone is a manager now" framing for agentic coding resonates — reduced dopamine from not doing work with your own handsContext switching burnout from running multiple agent instances is an emerging problemAI may freeze software innovation at whatever paradigm the training data captures (jQuery → React, but what comes after?)Resources MentionedIntroducing Claude Opus 4.6Introducing GPT-5.3-CodexOpus 4.6, Codex 5.3, and the post-benchmark eraPi coding agentThe AI Security Industry is BullshitSoftware Factories And The Agentic MomentWe mourn our craftAnthropic closes in on $20B roundOracle says it plans to raise up to $50 billion in debt and equity this year The New Announcement EconomyChapters (00:00) - Introduction to AI in Software Development (03:02) - Latest AI Model Releases and Comparisons (06:03) - Exploring AI Coding Agents (08:55) - The Rise of Py Coding Agent (12:08) - AI's Impact on Job Security (15:01) - AI Security Concerns and Industry Insights (33:08) - The Rise of AI Security Concerns (36:30) - De-risking AI: Strategies and Challenges (38:29) - The Emergence of Software Factories (41:19) - Cloning Software: The Digital Twin Universe (44:39) - In-house Development vs. SaaS Solutions (46:57) - The Future of Compliance and Audit Industries (51:52) - The Impact of AI on Software Development (56:37) - Navigating the Emotional Landscape of AI Development (01:07:55) - Mourning the Craft: A Country Song Reflection (01:09:51) - Building Beyond Loss: Tennyson's Ulysses (01:12:47) - Cloud Code Insights: Enhancing Development Workflows (01:19:09) - The AI Bubble: Current Trends and Predictions (01:24:00) - The Announcement Economy: News in the Age of AI (01:30:04) - The Future of AI: Investment and Market Dynamics Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 25 min

  5. 6 FEB.

    Episode 12: The OpenClaw Saga, How AI Affects Programming Skills, and How Vibe Coding is Addictive like Gambling

    In this episode, Dan and Shimin discuss the evolving landscape of AI programming, focusing on Anthropic's AI Constitution, OpenAI's new product Prism, and the implications of AI tools on coding skills. They explore the financial viability of AI companies, the concept of vibe coding, and the potential risks of an AI bubble. The conversation highlights the importance of understanding AI's impact on jobs and the ethical considerations surrounding AI development. Takeaways Anthropic's AI Constitution raises questions about AI agency.AI tools can enhance or hinder coding skill development.The financial viability of AI companies is under scrutiny.Vibe coding can lead to a false sense of accomplishment. Resources Mentioned Does Anthropic believe its AI is conscious, or is that just what it wants Claude to think? Exclusive: Pentagon clashes with Anthropic over military AI use, sources sayOpenAI launches Prism, a new AI workspace for scientistsOpen Coding Agents: Fast, accessible coding agents that adapt to any repoTrinity LargeClawHubClawdBot Skills Just Ganked Your CryptoMoltBookSuperpowers: How I'm using coding agents in October 2025 My Five Stages of AI GriefHow AI assistance impacts the formation of coding skillsBreaking the Spell of Vibe CodingNvidia shares are down after a report that its OpenAI investment stalled. Here's what's happeningInside OpenAI's unit economicsChaptersConnect with ADIPod Email us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 10 min

  6. 30 JAN.

    Episode 11: AI Fluency Pyramid, Unrolling the Codex Agent Loop, and Claude Code's Secret Swarm Mode

    In this episode of Artificial Developer Intelligence, Shimin, Dan and Rahul discuss the evolving landscape of AI in programming and business. They explore Brex's AI strategy, the AI fluency pyramid, the state of open models, and innovations in AI tools like Cloud Code.  Takeaways The AI fluency pyramid helps assess AI integration levels.Open models are still dominated by Chinese companies.Claude Code is evolving with new swarm feature.The Claude Constitution aims to define ethical AI behavior.Economic disruption is a significant risk associated with AI.Resources MentionedBrex’s AI Hail Mary — With CTO James ReggioWho’s behind AMI Labs, Yann LeCun’s ‘world model’ startup8 plots that explain the state of open modelsGNOME's AI Assistant Newelle Adds Llama.cpp Support, Command Execution Toolhttps://www.getagentcraft.com/Claude Code SwarmsUnrolling the Codex agent loopThe Adolescence of TechnologyClaude’s ConstitutionWhat if AI is both really good and not that disruptive?A new test for AI labs: Are you even trying to make money?Are AI agents ready for the workplace? A new benchmark raises doubtsMicrosoft CEO warns that we must 'do something useful' with AI or they'll lose 'social permission' to burn electricity on itChapters (00:00) - Introduction to Artifical Developer Intelligence (02:44) - Brex's AI Transformation Journey (05:16) - AI Fluency Pyramid and Corporate Culture (07:56) - World Models and AI Poetry (10:30) - State of Open Models (12:38) - Emerging Tools and Technologies (15:04) - Claude Code and New Features (17:42) - AI in Gaming and Real-World Applications (23:02) - Open Source Collaboration in AI Development (24:53) - The Future of AI: Swarm Intelligence and Cloud Code (26:09) - Understanding the Codex Agent Loop (30:59) - Prompt Engineering and Model Limitations (33:33) - Ethical Considerations in AI Development (37:47) - The Risks of AI: Economic Disruption and Autocracy (40:46) - Finding Purpose in an AI-Driven World (44:32) - The Claude Constitution: Values and Guidelines (46:15) - The Role of AI in Society and Governance (50:21) - Building a Blog with AI Tools (55:51) - The AI Investment Bubble and Its Implications (01:04:05) - Davos Insights on AI and Sustainability (01:08:51) - ADI Intro.mp4 Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 9 min

  7. 23 JAN.

    Episode 10: There's a New Sherif in the Gas Town of AI Software Development

    The podcast "Artificial Developer Intelligence" features hosts Shimin Zhang and co-host Dan Lasky discuss the evolving landscape of AI in programming, recent news, innovative tools, and the implications of AI on various sectors. They explore the partnership between Apple and Google, the concept of 'doom coding', and how humans make LLM like mistakes. The conversation also delves into the efficiency of programming languages, a deep dive into dynamic large concept models, and the societal perceptions of AI, culminating in a discussion about the potential AI bubble. Takeaways The introduction of ads in ChatGPT raises privacy concerns.Automation vs. augmentation is a key theme in AI's impact on jobs.AI tools like Gastown are changing the landscape of software development. AI has a decent baseline level of cognition already.Measuring developer productivity is a complex challenge.AI tools may not always lead to financial gains.Resources MentionedOpenAI to begin testing ads on ChatGPT in the U.S.Anthropic Economic Index report: economic primitivesGLM-4.7-FlashWelcome to Gas TownGas Town DecodedThe AI revolution is here. Will the economy survive the transition?Claude Code creator Boris shares his setup with 13 detailed steps,full details belowThe Unreasonable Effectiveness of RNNs Apptwo AI researchers are now funded by SolanaMajority of CEOs report zero payoff from AI splurgeAI companies will fail. We can salvage something from the wreckageChapters (00:00) - Introduction to the Podcast and Hosts (02:32) - Mad Max and AI: A Fun Introduction (03:21) - OpenAI's New Advertising Strategy (08:10) - Anthropic Economic Index Report Insights (15:19) - The Future of Work in an AI-Driven World (21:42) - Introducing Gas Town: A New Tool for AI Development (29:17) - The Quirky World of Software Naming Conventions (30:19) - Multi-Agent Systems: Pros and Cons (31:57) - The Philosophy of Gas Town: Embracing Chaos (33:39) - Tech Insights: Cloud Code and Agent Management (40:21) - The AI Revolution: Economic Implications and Productivity (51:07) - Technical Difficulties and Communication Challenges (51:31) - Exploring Gas Town and Workflow Innovations (56:38) - The Role of AI in Education (01:02:00) - The AI Bubble: Current State and Future Outlook Connect with ADIPodEmail us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 12 min

  8. 16 JAN.

    Episode 9: Chinese Models 7 Months Behind US Labs, Token Efficient Languages, and LLM Problems Observed in Humans

    The podcast "Artificial Developer Intelligence" features hosts Shimin Zhang and co-host Dan Lasky discuss the evolving landscape of AI in programming, recent news, innovative tools, and the implications of AI on various sectors. They explore the partnership between Apple and Google, the concept of 'doom coding', and how humans make LLM like mistakes. The conversation also delves into the efficiency of programming languages, a deep dive into dynamic large concept models, and the societal perceptions of AI, culminating in a discussion about the potential AI bubble. Takeaways Apple's partnership with Google marks a significant shift in AI development.Doom coding encourages productive use of time instead of doom scrolling.Public perception of AI is heavily influenced by marketing hype.Programming languages vary in token efficiency, affecting AI interactions.Dynamic large concept models offer a new approach to language processing.Resources MentionedGoogle’s Gemini to power Apple’s AI features like SiriChinese AI models have lagged the US frontier by 7 months on average since 2023doom-codingTimeCapsuleLLMEmergent Behavior: When Skills CombineLLM problems observed in humansWhich programming languages are most token-efficient?Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space‘We’ve Done Our Country a Great Disservice’ by Offshoring: Nvidia’s Jensen Huang Says ‘We Have to Create Prosperity’ for All, Not Just PhDsComputer scientist Yann LeCun: “Intelligence really is about learning”Are we in an AI bubble? What 40 tech leaders and analysts are saying, in one chartChaptersConnect with ADIPod Email us at humans@adipod.ai you have any feedback, requests, or just want to say hello! Checkout our website www.adipod.ai

    1 tim 5 min
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Om

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 crisis about whether the craft is dying or just getting weird. What you're signing up for: - AI news without the LinkedIn cringe: model drops, acquisitions, open-source drama, and the other stuff that actually matters if you write code for a living. - Technique corner: real tips from the trenches: spec-driven development, multi-agent orchestration, Claude.md tricks, and all the ways they've wasted hours so you don't have to. - Two Minutes to Midnight: the show's running AI bubble tracker, complete with circular funding diagrams, hyperscaler CAPEX math, and a doomsday clock they keep arguing about moving. - Deep dives that (occasionally) go deep: hallucination neurons, agentic memory, workflow automation economics, LLM architectures the papers nobody else is covering because they're hard. - Dan's Rant: Dan frequently gets mad about things. It's a whole thing. - The feelings segment: Yes, Shimin reads Tennyson on a tech podcast. Yes, Rahul wrote an AI-generated country song. No, they're not sorry. Three friends with strong opinions, questionable metaphors, and genuine love for the craft they're also mourning for. If you want to understand AI deeply, use it without embarrassing yourself, and laugh at the absurdity of it all, pull up a chair.

Information

  • Skapad av
    Shimin Zhang, Dan Lasky, & Rahul Yadav
  • Aktiva år
    2025 - 2026
  • Avsnitt
    16
  • Åldersgräns
    Vuxet innehåll
  • Copyright
    © ADIPod
  • Programmets webbplats
    Artificial Developer Intelligence