The Apple – Perplexity rumor that won’t go away

This is a longer think piece from the quick post I had on Mastodon the other day.

Every time someone floats the idea that Apple should acquire Perplexity to “supercharge” its AI efforts, I get whiplash, not just from the sheer strategic laziness of the suggestion, but from the deeper cultural misalignment it completely ignores. The very idea is a perplexing thought.

Perplexity isn’t some misunderstood innovator quietly building the future. It’s a company fundamentally unsure of what it is, what it stands for, or how to exist without parasitizing the open web. It’s been posing as a search engine, an AI-powered Q&A tool, a research assistant, and lately, some vague hybrid of all three, depending on who’s asking and what narrative sounds hottest that week. The only throughline is this: a constant need to justify its own existence, retrofitting its product pitch to whatever the industry is currently foaming at the mouth about.

And then there’s the CEO.

Perplexity CEO Aravind Srinivas has made a habit of saying the quiet parts out loud, and not in a refreshing, brutally honest way, but in a way that suggests he hasn’t thought them through. Case in point: TechCrunch Disrupt 2024, where he was asked point blank to define plagiarism and couldn’t answer. Not didn’t answer. Couldn’t. That wasn’t just a missed PR opportunity. That was a red flag, flapping violently in the face of a company that scrapes content from other publishers, slaps a “summarized by AI” badge on it, and tries to call that innovation.

When you can’t define plagiarism as the CEO of a company built on other people’s work, that’s not strategic ambiguity, that’s an ethical void. And it’s telling. Perplexity has made a business of riding the razor-thin line between fair use and flat-out theft, and they want the benefit of the doubt without the burden of responsibility.

Which is where the Apple comparisons get absurd.

Yes, Apple stumbled. For more than a decade, Siri was a rudderless ship, a clunky commuter train in an age where everyone else was racing to build maglevs. The company completely missed the LLM Shinkansen as it rocketed past, leaving Siri coughing in the dust. What followed was a scramble, an engine swap mid-ride, and the painful attempt to retrofit a creaky voice assistant into something worthy of generative AI expectations.

That failure — public, prolonged, and still unresolved — gave the impression that Apple had no idea what was coming. That they were too slow, too self-contained, and too arrogant to evolve. And to some extent, that criticism landed. The year-long silence after ChatGPT’s breakout moment painted Apple as unprepared, reactive, even out of touch.

But here’s the thing: while Apple still hasn’t shown much of anything tangible since the Apple Intelligence announcement at WWDC 2024 (Genmoji? Really? Messed up email and notification summary?), the signals are clear. The company has changed course. They’ve acknowledged they’re behind and now they’re moving, quietly but with force. Once Apple has its engineering machine locked onto a target, the company doesn’t need to acquire noisy, erratic startups to plug the gaps. What it needs is time. And direction. And both are now in motion.

Which brings us back to Perplexity. Apple doesn’t need it. Not for the tech — which is just a UX layer on top of open models and scraped data. Not for the team — which seems more interested in testing the boundaries of IP law than building products people trust. And definitely not for the culture — which is allergic to accountability and powered by vibes over values.

Apple’s entire value proposition is control: of the user experience, of the ecosystem, and of the narrative. Perplexity brings chaos. Unapologetically so. It doesn’t have a sustainable moat, a mature product, or a north star. It has hype. It has press. And it has the moral compass of a company that thinks citation is a permission slip to republish everyone else’s work for free.

If Apple wants a better search experience, it can build one, with privacy built in, on-device processing, and full-stack integration. If it wants a smarter assistant, it can leverage its silicon and software in ways that Perplexity simply can’t touch. What it doesn’t need is a cultural virus from a startup that treats copyright like a rounding error and ethics like an optional plugin.

So no, Apple shouldn’t buy Perplexity. Not because it can’t. But because it finally knows what it needs to build, and it’s building it the Apple way. At least that’s what I think they’re doing.

ChatGPT will always give you an answer even if it’s wrong

Between fast and correct ChatGPT will always choose fast because it’s not programmed or trained to say it doesn’t have the answer. ChatGPT is trained to respond confidently and as a result will always provide you with an answer regardless whether the answer is false or factual.

In this example ChatGPT was asked in what episode of The Simpsons did Homer Simpson ask how much is a free gift. ChatGPT confidently answered episode 7 of season 7, King Size Homer.

That episode was indeed titled King Size Homer but it’s not the episode where Homer asked the question. That episode was The Joy of Sect, season 9 episode 13 as confirmed by IMDb.

Given that a chatbot built upon a Large Language Model (LLM) would be beneficial for IMDb to have, maybe it’s just a matter of time before they build one for themselves. After all, search seems to be making way for chatbots or voice queries lately. There is however, a caveat, which I will get to in a second.

If you enter “Homer how much free gift” into YouTube’s search bar, it will give you this video as the first answer. Granted it only says the episode title, number, and season in the video description, which can easily be incorrect or even blank but cross referencing that with IMDb confirmed it’s the correct one.

If you search on Google, it may suggest to you the more accurate quote to search for which should give you the same YouTube video at or near the top of the search results. Google 1, ChatGPT 0.

Google search suggestions for “Homer how much”

ChatGPT may well be the most advanced LLM chatbot today but it’s a language model designed and trained to deliver the most grammatically or syntactically correct response according to the material it has been trained on. It is not trained to provide the correct answer to queries because it’s not meant to be a search engine or database that you submit queries to.

While ChatGPT does not verify or fact check its responses, other models may be trained to find the correct answer and infer the answer from information it comes across online.

If ChatGPT happens to provide the correct answer it’s only because the answer is contained in the training material with the relevant context which it manages to pull out. In other words correct answers are delivered by chance without verification. How many times have you realized it was lying to you and you had to ask why it gave you the wrong answer or to check whether the information it gave you is correct?

Remember last year when everyone was reporting that ChatGPT had passed the bar exam (lawyer’s exam) in the top 10%? It actually didn’t. It was more like in the top 69% to 48% depending on the peers or cohorts. The grading method was flawed.

Again, ChatGPT is not an information database but it does know how to form correct sentences, write in certain styles, translate texts, and help you with your coding. Maybe one day it may become an information database but today, with GPT 3.5, 4.0, and 4o, is not that day.

Use ChatGPT as a writing or coding assistant and you’re probably golden but you still have to play the role of an editor to make sure it gives you the correct output for you needs.

I have two posts on Netflix Indonesia’s price drop, one written by myself, the other by ChatGPT. It was a fun exercise in seeing how different the pieces would turn out. ChatGPT took a very general analysis view on the subject matter while I dug deeper on the reasons and give more business and competitive context to the readers. Let me know what you think of both.

I just told ChatGPT to write a poem about TikTok in the style of Chairil Anwar. It’s definitely a poem.