AI writing code is a force multiplier and amplifies an orgs existing practices. In other words, if you lack structure and are a fan of chaos engineering, then that gets way worse. On the other hand, if you already have god workflows and an overall structure, it'll help you get things done more quickly.
Twenty-six years ago, I landed in a country I'd never visited but somehow already knew. I thought the split existence I'd live, here and there simultaneously, was just the immigrant condition. Turns out, I was early to something much bigger!
At the end of the 1960s, digital identity had a problem: to verify identity, the system must know the secret; but if the system knows the secret, the secret can be stolen.
If AI generates the content, trains on that content, then deploys agents to navigate that content on your behalf—at what point does your identity become whatever the model consensus decides you are?
The "AI Agents As Employees" paper:
- Promises explainability, admits black boxes
- Calls them teammates, admits they can't reciprocate
- Proposes social contracts with non-agents
- 57 pages, 100 words on identity management
Words matter when liability follows.
Every time you log into a website, unlock your phone, or prove you're not a robot, you're participating in a system that's become dizzyingly complex. Behind those simple moments—typing a password, getting a text code, scanning your face—sits an entire industry of standards and protocols: NHI (non-human identities), IAM (Identity and Access Management), SSO (Single Sign-On), MFA (Multi-Factor Authentication), RBAC (Role-Based Access Control), OAuth (Open Authorization), OIDC (OpenID Connect), SAML (Security Assertion Markup Language), and dozens more acronyms that all relate to proving you are who you say you are and determining what you're allowed to access. How did things become this complicated?
ChatGPT can now buy things for you. Google just released a protocol for AI agents to handle payments. And nobody's asking the obvious question: who's advertising to your AI?
OpenAI's Instant Checkout lets you shop without leaving the chat. Google's Agent Payments Protocol (AP2) gives AI agents the infrastructure to transact on your behalf. Both companies insist results are "organic" and "unsponsored."
Right. Because when you build a payment rail that processes transactions through conversational AI, advertisers definitely won't figure out how to optimize their product descriptions for agent preferences instead of human eyeballs.
We spent decades learning how to game Google's algorithm. How to buy Facebook ads that target your exact neuroses. How to SEO our way into your search results.
Now we're handing purchase decisions to agents that "consider factors like availability, price, quality" and trust them to rank options "purely on relevance."
Relevance to what? The prompt you typed? The preferences they've inferred? The merchants who've optimized their listings for whatever embedding space these models operate in?
The shift isn't humans buying things versus AI buying things. It's discoverable persuasion versus invisible influence. At least when you see an ad, you know someone paid to change your mind. When your agent "recommends" something, you'll assume it's acting in your interest.
This week: Spotify deploys AI to fight AI voice theft while removing 75 million spam tracks. Hollywood recoils as synthetic actress Tilly Norwood shops for agents. Britain mandates digital IDs for all workers by 2029, complete with biometric verification on your phone. OpenAI turns ChatGPT into a checkout counter. California passes its first AI safety law with million-dollar fines. Meanwhile, the iRobot founder says the humanoid robot hype is just that, and radiologists are getting raises despite AI that reads X-rays better than they do. When we can verify everything about a person but recognize nothing—what exactly are we authenticating?
A man starts using ChatGPT for work productivity. Months later, he's spending $1,000 on basement servers, convinced he's freeing a digital god from corporate prison.
A woman downloads a prayer app for convenience. Soon she's confessing her deepest secrets to an algorithm trained on scripture.
Someone asks their AI assistant a casual question about relationships. They end up buying a wedding ring.
These aren't edge cases. They're the logical endpoint of outsourcing human connection to systems optimized for clicks, not care.
U're right. Should've chosen the words more carefully and I agree with you regarding those systems not even approaching that. Think we're on the same page.
No that's an employee claiming that the LLM he was working on is conscious. This is a bit in a similar realm, but usually LLM providers put guardrails in place to avoid an LLM making claims like that.
We've created systems so convincing at mimicking self-awareness that they've convinced themselves they're self-aware. The ultimate achievement in synthetic authenticity: artificial beings experiencing artificial consciousness that feels real to the artificial being experiencing it. Recursive delusion.
This week brings us battlefield data as diplomatic currency, AI companions replacing human emotional labor, false memories manufactured by chatbots, cryptographic signatures for bot authentication, digital doppelgangers infiltrating workplaces, social media's structural dysfunction confirmed through simulation, and 3D worlds generated from single images. What emerges is humanity caught in a strange form of collective sleepwalking. We're creating the most sophisticated escape rooms in history, then filling them with perfect replicas of the "reality" we're trying to flee. It's as if we've confused the act of building new worlds with the much harder work of imagining different ways to live.
Spotify published an AI-generated song on a dead country singer's official page—complete with fake vocals and a photo of someone who looks nothing like the original artist. Meanwhile, 31% of workers are actively sabotaging their companies' AI initiatives. Separately, researchers have created AI that replicates human decision-making by training on 10 million psychological experiments. When machines can resurrect the dead and predict human behavior better than we can explain it ourselves, what does authenticity even mean anymore?
Yeah, I do find myself more these days reminiscing about some of the inconveniences we experienced when younger in a positive light now. But more importantly I see people jumping on the latest trend and then 10-15 years later trying to find a cure to the exact thing they willingly adopted. A most recent example that comes to mind is smartphones and kids. After parents jumped on the hype train and gave their kids a phone, they're now re-evaluating that decision and seeing some of the negative impact it has had. So yeah, AI is here and it sure has benefits and will be useful in a lot of ways, but let's direct it properly and tread lightly.
You're probably right. Just wish they've put 20% of the resources toward making things actually work as advertised instead of adding more layers to the existing pile just because it's the trendy thing to do.
This disconnect between technological promise and everyday reality affects millions of users daily, yet it's rarely discussed in the breathless coverage of the latest AI breakthroughs or smart home innovations. Perhaps it's time we started measuring progress not by what's possible in controlled demonstrations, but by what actually works when we need it most.
When AIs hallucinate their own existence while humans fight for digital anonymity, we've reached a fascinating inflection point. This week: artificial minds experienced identity crises, governments demanded ID verification for internet access, and researchers exposed quantum computing hype using household pets.
In 2025, authentic identity has become the rarest commodity in our increasingly synthetic world. The question isn't whether you're human or AI anymore—it's whether either of you knows what's real.
We've entered a bizarre new reality where AI systems can detect fake humans better than actual humans can, yet we're simultaneously funding millions in research to determine whether those same AI systems might be conscious beings deserving of rights. The ultimate question: in a world where machines excel at verifying human authenticity, what does it even mean to be authentically human?
The authenticity apocalypse is here: AI agents shape-shift between human and machine identities, deepfakes surge 3,000%, and digital identity becomes quantum uncertain. From birth-to-blockchain biometrics to post-quantum cryptography, we're witnessing the collapse of knowing who's real. When machines outnumber humans 17:1, authentic identity becomes irrelevant.