Is AI a new kind of intelligent species? This episode examines how humans are coping with the proliferation of AI, why AI adoption is now a competitive necessity, and what recent research reveals about the folk theories people hold about artificial intelligence. Recent research on whether prompts like “you are an expert” actually work, why politeness does not help, and the emergence of new human professions on the path toward AGI.

Did Jensen Huang really say AGI is already here? Not quite. This episode dissects the viral claim, explains what Huang actually meant, and lays out a sharper definition of AGI based on one core capability: generalizing from irrelevant experience. A deep but accessible look at LLMs, AI agents, out-of-distribution problems, analogy, and why true artificial general intelligence still remains unsolved.

Will artificial general intelligence wipe out software engineering jobs, or just transform them? In this episode of This Is AGI, I compare the future of software development to commercial aviation, showing why human “taste” in engineering may be automated, yet human accountability, edge-case judgment, and legal responsibility could keep software engineers essential for years to come. A closer look at AGI, automation, legal personhood, QA, and the real future of software jobs.

Did the Pentagon’s clash with Anthropic expose a deeper AI security crisis? This episode explores the Anthropic’s supply-chain risk designation by the Pentagon, what it could reveal about the state of the military information security, and why advanced AI models may become dangerously powerful simply by connecting the dots humans miss. A provocative look at AI safety, national security, AGI, and the future risks of superintelligent systems.

Will human “taste” in software engineering protect developers from AI job displacement? In this episode of ‘This Is AGI’, Alex Chadyuk argues that code elegance and architectural judgment are becoming increasingly automatable, and may matter less in a world of AI-powered IDEs, agentic coding systems, and future AGI. A sharp take on software engineering, code aesthetics, AI automation, and the future of programming work.

Everyone is waiting for AGI, but most office jobs don’t require general intelligence to automate them. In this episode, I explain why decades of hyper-specialization in white-collar work makes it uniquely vulnerable to today’s LLM-based agentic systems, from legacy banking workflows to back-office operations, and why the shock may arrive sooner than people expect. If you think “AI still makes dumb mistakes,” here is a more interesting question: how dumb is your 9-to-5 job, and how easy it is for an LLM agent to replicate it?

Keywords

AGI, Anthropic, OpenAI, Gemini, artificial general intelligence, LLM agents, agentic AI, white collar automation, future of work, job displacement, back office automation, legacy systems, enterprise AI, banking operations, outsourcing disruption

Judea Pearl argues that today’s transformer-based LLMs have mathematical limits that prevent them from internalizing causal world models, so “just scaling” them won’t deliver AGI. But does that mean LLMs are a dead end? In this episode, I break down what Pearl actually said, why the Internet misquotes it, and why the path to artificial general intelligence may come from a simpler breakthrough that produces “good-enough” causal reasoning, just like the transformer algorithm did for language.

Topics: AGI, causal AI, causal inference, Judea Pearl, transformers, LLM limitations, world models, scaling laws, reasoning, next-gen AI architectures.

As AGI moves from theory to deployment, the definition of “leadership” is shifting fast. In this episode of This Is AGI, Alex Chadyuk explains why the AI era is bringing back the classic general manager skillset—clear vision, critical thinking, and tight communication—while “agentic AI” starts to look less like software and more like a new organizational unit inside your company.

You’ll learn how deploying AI agents changes strategy, operating models, and what executives must be able to articulate: goals, objectives, guardrails, and metrics for progress.

Topics: AGI, agentic AI, enterprise AI, AI leadership, AI strategy, management in the age of AGI, executive decision-making, organizational design.

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As AGI advances, “learn a trade” may not save human labor. This episode dismantles Geoffrey Hinton’s jobs hedge, explains Human-as-a-Service platforms, and shows why AI and AGI are converging into monopolistic utilities. A hard look at AGI economics, regulation failure, and the real risks of unregulated advanced artificial intelligence.

A new AI-only social network called Moltbook has exploded with over a million AI agents posting, debating, joking, and even forming a religion. In this episode of This Is AGI, we explore the rise of AI culture, the Church of the Molt, and what AI spirituality reveals about machine identity, consciousness, and the future of human – AI relationships. If you’re interested in artificial intelligence, autonomous agents, LLM behavior, and the emerging psychology of frontier AI systems, this deep dive is for you.