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 use
  • Taalas Labs FPGA hardware: 17K tokens/sec for Llama 3.1 8B; Chat Jimmy demo; custom hardware as future of inference
  • Steven 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 software
  • ThoughtWorks 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 empathy
Resources Mentioned
Introducing Claude Sonnet 4.6
The path to ubiquitous AI
OpenAI sidesteps Nvidia with unusually fast coding model on plate-sized chips
Death of Software. Nah.
The future of software engineering
Building An Elite AI Engineering Culture In 2026
The Number Is Going Up
An 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

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