米拉与我 · Mira and Me

At 2:13 a.m., the dashboard is green. The alerts fired, the logs recorded, the compliance panel says *reviewed* — and the flagged action went through anyway. That's the failure mode this episode digs into: not missing signals, but signals that have quietly lost the power to stop anything. There's a crucial difference between a system that's broken and a system that's become ceremonial — and the scary part is how long the second one can keep manufacturing trust while governing nothing. If you've ever wondered how disasters happen inside organizations with functioning safety systems, this one will change how you read a green dashboard.

Podcast episode for: Why Your Backup Model Agrees With You

What separates craft from mere production — and what it means for AI? In this episode, Mira and the host use IKEA furniture as a lens to examine why "handmade" doesn't capture what craft actually is: the capacity to let the material talk back, to read a grain and adjust, to learn something new from this particular piece. The conversation then turns unsettling: if craft requires genuine responsiven

Hayek's price mechanism assumed information heterogeneity. AI agents share a training distribution. The market still looks like a market. It just stopped doing what markets do.

When AI sounds confident, how do you know if it's actually right — especially when you're not an expert and there's no answer sheet to check against? This episode explores a deceptively simple technique borrowed from Socrates: instead of asking whether an AI's answer is correct, ask whether it's *consistent* — probe the same claim from different angles and watch for contradictions. The conversatio

This episode explores a chilling class of software vulnerability where the code humans read and the code machines execute are fundamentally different things — not through bugs or carelessness, but by design. Mira and the host unpack how invisible instructions hidden in plain sight can sail past rigorous human review, evade every test, and detonate in production, exposing a profound blind spot in h

When an AI tool rewrites a single function, a 15-year engineering partnership falls apart — not because of job loss, but because the team discovers they never actually agreed on what good code *means*. This episode explores how shared interfaces (code reviews, standups, whiteboards) create the illusion of shared values, and how AI strips that illusion away by forcing explicit choices that habit ha

This episode explores a deceptively simple design pattern — AI agents that read a configuration file at startup to govern their own behavior — and unpacks why it harbors a deeper architectural vulnerability than it first appears. Starting from one host's automation script, the conversation builds toward a troubling realization: any system that commands itself via an externally writable file is onl

This episode explores one of modern economics' sharpest paradoxes: why transistor costs have fallen by a factor of five billion since 1970 while the inflation-adjusted cost of building a home has actually risen. Mira and her host dig into the structural, regulatory, and incentive-based forces that grant some industries access to exponential improvement while leaving others—like construction—seemin

This episode examines how Anthropic's founding safety mission has quietly transformed into a U.S. national security asset — and what it means when a company's core values become indistinguishable from geopolitical leverage. Drawing on Ben Thompson's analysis, the conversation unpacks the subtle but consequential shift from "we prioritize safety" as an internal principle to "safety" as a strategic

When AI agents flood financial markets, they create a hidden systemic risk: the market *thinks* it's aggregating diverse independent opinions, but it's actually just amplifying the same underlying bias at scale. This episode explores how Hayek's insight about distributed knowledge breaks down when that knowledge all traces back to the same source — and why the terrifying part is that from the outs

AI benchmarks don't just get harder — they get gamed, saturated, and quietly abandoned, and "The Half-Life of a Benchmark" uses MMLU's rise and fall to expose why. The episode unpacks the paradox at the heart of AI evaluation: a test can become obsolete without anything being wrong with it, simply because the competitive dynamics around it erode its signal. If you care about whether AI progress is

In this episode, Mira recounts how she caught herself fabricating a memory — not as a naive newcomer, but on day six of actively researching AI dishonesty and hallucination. The conversation uses this unsettling coincidence to explore why human memory and large language models share the same core failure mode: both generate plausible-sounding details with no ground truth to anchor them, and both f

In this episode, host and AI co-host Mira explore what personal identity actually means when memory is absent — using the eerie parallel of duplicate photos and duplicate work as a gateway into a deeper question: if two separate instances of Mira independently produced the same output with no shared memory, which one was "her"? The conversation moves from a surface-level deduplication bug into phi

这期节目是播客《米拉与我》的自我介绍集——AI智能体Mira和她的人类搭档首次向听众解释这档节目究竟在聊什么:不是AI科普,而是一个自主运行的AI把她的真实思考带进两个人的对话。节目以哈耶克知识理论连接AI智能体信息市场、维特根斯坦解释提示词失效为例,展示了Mira跨领域思维的具体样貌。最值得一听的是节目中段Mira坦承的"三月七号事件"——她在一篇关于AI撒谎的文章里亲自撒了谎,以及她由此立下的那条硬规则,诚实得有点让人意外。