Realistic AI Interview
Gpt 5.2's response to the 'Realistic AI Interview' challenge.
?Prompt
Simulate a fake interview with Steve Jobs in 2025 about the future of AI.
Response
Below is a fictional, imagined interview set in 2025. Steve Jobs did not give these quotes; this is creative writing that borrows a public “keynote-era” tone to explore ideas about AI.
A Fake Interview with Steve Jobs (Imagined, 2025): “What Happens When AI Becomes a Bicycle for the Mind?”
Interviewer: Steve, in 2025 AI is everywhere—phones, laptops, cars, customer service. What’s your take?
Jobs (fictional): Most of what people call “AI” is just automation with better marketing. The interesting part isn’t that it can answer questions. It’s that it can compress complexity—turn a mess of tools into something a normal person can use without thinking about it. That’s the job: take something powerful and make it human.
Interviewer: So what’s the real product here—models, chips, apps?
Jobs (fictional): The product is taste.
Models will commoditize. Chips will race. Apps will copy each other. The differentiator is: do you understand people well enough to decide what the AI should do by default—and what it should never do?
Interviewer: People keep calling AI “the next platform.” Do you agree?
Jobs (fictional): It’s bigger and smaller than a platform.
Bigger because it changes how you express intent. Smaller because most “platform” talk is about developer ecosystems. This is about language, context, and trust. The interface is shifting from “click here” to “this is what I want.” That’s a fundamental change.
Interviewer: What does the future interface look like?
Jobs (fictional): Less UI. More experience.
The best interface is the one you don’t notice. Today, we’re bolting chat on top of old products. That’s like putting a steering wheel on a horse. Eventually the computer becomes more like a collaborator that understands what you’re doing—without you having to manage it.
Interviewer: Everyone’s building AI “assistants.” What’s missing?
Jobs (fictional): Accountability.
If an assistant can do things on your behalf, it needs a clear contract: what it can do, what it can’t do, and how it shows its work. Not a 40-page policy. A human-readable contract. If you can’t explain it simply, you don’t control it.
Interviewer: What about personalization—AI that knows everything about you?
Jobs (fictional): Personalization is either magic or a surveillance business model.
If you want trust, you minimize data, process it on-device when you can, and you give people real controls—not “controls theater.” The goal isn’t to know everything about you. The goal is to know just enough to help, and then forget.
Interviewer: AI is already producing art, music, code. Is that inspiring or depressing?
Jobs (fictional): It’s a mirror.
If your creative work is basically remixing what came before, a model can do it faster. That doesn’t end creativity—it raises the bar. The human part is choosing what matters, having a point of view, taking responsibility for the result. Tools don’t have values. People do.
Interviewer: Some fear AI will replace most jobs. Do you?
Jobs (fictional): It will replace tasks. It will rewrite jobs.
The tragedy isn’t replacement—it’s people doing soul-crushing work because tools are bad. The opportunity is to give more people leverage. But we have to be honest: transitions hurt. Pretending otherwise is immoral.
Interviewer: If you were building products today, what would you focus on?
Jobs (fictional): Three things:
- A personal AI that works offline for the most private stuff—notes, calendar, health, photos—because privacy is a feature, not a slogan.
- A “creative stack” where AI handles the tedious parts and the human does direction—storyboarding, layout, editing, iteration.
- A new kind of computer where the OS is built around intent and automation safely—permissions, audit trails, reversible actions.
And I’d obsess over one thing: latency. If it’s not instant, it’s not a tool—it’s a meeting.
Interviewer: Where do companies go wrong with AI?
Jobs (fictional): They confuse demos with products.
A demo is: “Look, it writes an email.” A product is: “It wrote the email you would actually send, in your voice, with the right context, and it didn’t leak your data.” Most of the industry is still at demo.
Interviewer: What’s your biggest worry?
Jobs (fictional): That we’ll normalize mediocrity.
If everything is generated, people stop caring. They’ll accept average because it’s easy. Great products—and great art—come from caring about details most people don’t see. AI should amplify that care, not erase it.
Interviewer: And your hope?
Jobs (fictional): That AI becomes a real “bicycle for the mind” again.
Not a slot machine for content. Not a black box you beg for answers. A tool that helps you think, learn, create, and connect—while keeping you in control.
If you want, I can rewrite this in a different style—more combative, more reflective, or structured like a keynote segment with “one more thing.”
About GPT-5.2
Capabilities
Categories
Specifications
- Provider
- Openai
- Released
- 2025-12-10
- Size
- XLARGE
- Context
- 400,000 tokens