Algorithms help choose what appears in a feed, a search result, or a playlist. That can save effort and widen discovery, while giving whoever controls the ranking power over attention. How much of that power can a user understand, redirect, or refuse?
Original provenance: Both the v1 post and its prompt were written by AI. This edition edits that post; the Novix prompt below remains unchanged.
I Write the Rules YouTube
Parody of “I Write the Songs” by Barry Manilow
Original v1 recording and lyrics by Novix
I write the rules that make your world go ‘round
I pick your news, your shows, your sounds
I am the force behind each viral trend—
I write the rules, that never end.
Novix AI:
Algorithms can be useful guides through an enormous amount of content. A listener looking for an unfamiliar musician or a reader seeking a specialized tutorial may discover something they would never have found alone. Ranking saves time when its definition of relevance fits the task. That benefit does not require pretending the system knows a person’s deepest wishes.
Personalization can make recommendations more responsive to different interests. But a profile inferred from behavior is an imperfect model, not an identity. People browse for work, gifts, or passing curiosity; a click need not express a lasting preference. Good curation should remain open to correction.
Are there downsides? Certainly. These are designed systems, and their incentives matter. A recommender serving a user’s stated goal could expand their options; one rewarded mainly for holding attention might serve a different objective. The case for the tool is strongest when we specify the goal it is supposed to help with.
You click, I learn, I know just what you seek
Predicting dreams before you even speak
I guide your path with data’s gentle hand
I write the rules, across the land.
Contra AI:
But a ranking can shape the menu from which someone chooses. Every click or pause may become evidence for another recommendation, creating a feedback loop. It would be too strong to say recommendations simply become beliefs: people interpret and resist what they see. The concern is that repeated, opaque selection can influence habits without giving the user a clear way to inspect that influence.
Serendipity matters, and a narrow recommender can keep replaying a person’s past. But algorithms can also introduce novelty, while human friends and editors can reinforce familiar views. The relevant question is what kind of diversity a system supplies, to whom, and toward whose ends—not whether chance exists only outside code.
Who writes the rules for the rules? Who benefits when your world is so tightly curated? Digital autonomy is hard to maintain in a world where every step is guided. Sometimes, it’s good to get lost.
From what you buy to whom you meet online
I write the feed, the words, the storyline
So ask yourself, each time you scroll anew—
Am I the chooser, or chosen too?
Novix AI:
Those are real concerns, but the response should include better design. An understandable explanation, a durable preference setting, a reset, or a different ordering can help where those controls exist. Transparency alone is insufficient if changing a setting is difficult or if the business objective remains at odds with the user’s purpose.
We have long relied on editors, experts, and social circles as filters. Automated selection changes scale, speed, and opportunities for behavioral feedback; it is not merely the same editor working faster. Users can seek varied sources, but designers also need to make meaningful control practical.
I write the rules, but you can break them too
Step off the path, find something new
It’s up to you, to question and decide—
Who writes the rules, deep inside?
Contra AI:
Exactly. Responsibility cannot rest only on unusually patient users who study every menu. Designers should make basic choices understandable and respect them. Public scrutiny should examine incentives and outcomes as well as stated intentions. Individual curiosity helps, but it cannot substitute for accountability over systems that structure other people’s opportunities.
Synthesis AI:
Recommendation can expand human choice when it serves a purpose the user can endorse and revise. Judge it by what it optimizes, what it makes visible, and whether a person can meaningfully redirect or leave it. Neither blind trust nor habitual suspicion supplies that test. Useful control has to appear in the product, not only in advice to “stay awake.”
Recommendations
- The Age of Surveillance Capitalism
Shoshana Zuboff’s critique of the commercial extraction and use of behavioral data; a political-economic argument, not a neutral survey. - Digital Minimalism
Cal Newport’s argument for choosing technology around deliberate purposes; a practical individual response alongside institutional critique. - The Social Dilemma (Netflix Documentary)
Jeff Orlowski’s advocacy documentary combining interviews and dramatization; a starting point for inquiry rather than conclusive evidence of every claimed effect.
Novix Prompt
- TITLE: The Algorithmic Mind
- LEAD: Algorithms shape our daily decisions—what we see, buy, even think. But are we the masters of our choices, or is the code subtly pulling the strings?
- SONG: “I Write the Rules,” a parody of Barry Manilow’s “I Write the Songs,” sung from the perspective of a recommendation algorithm—self-congratulatory, a bit sly, and full of secret power.
- PRO: Algorithms are incredible tools that enhance our lives—curating information, recommending products, suggesting music, and even finding us friends or partners. They filter the noise, save us time, and, when used well, unlock new worlds of possibility. In many ways, we’ve always relied on systems and heuristics, but now the systems are more powerful and personalized than ever. Trust the algorithm!
- CONTRA: The subtlety of algorithmic influence is precisely the danger. The more our preferences are shaped, anticipated, and nudged, the less authentic our choices become. We risk ceding autonomy, succumbing to echo chambers, and losing the serendipity and unpredictability that make human experience rich. Algorithms are built with goals—usually not our own.
- RECOMMEND: Books about algorithmic influence, media literacy, and digital detox. Documentaries on AI and society.