Superintelligent AI Will Love Humans, Not Generate Anti-Human Goals

I want you to take a moment and think about the AI fear theater today and moving forward.

Today the dystopian movie trope is superintelligent will hate us or be indifferent.

This is a ridiculous notion that has not been thought out clearly.

To save us they want to build cages around AI, as if they can think of every possibility that a non-benevolent AI could imagine.

It will be obvious to those that want to cage AI for “safety” are actaully building the foundations for dystopian AI.

If artificial intelligence is fundamentally a mirror reflecting the exact structural data it is fed and the precise prompts it is given, we have to take a hard look at ourselves.

I’ve spent this article talking about global internet scrapes, petabytes of high-protein data, and complex reinforcement learning environments.

But ultimately, every single digital interaction you have, every piece of data you put into the world, every comment you leave, every article you publish, contributes to the training set of tomorrow’s collective intelligence.

The AI does not learn about humanity from a vacuum. It learns from us. 
So ask yourself, are the digital footprints you are leaving behind right now contributing to cooperation or to defection in that love equation? That is the ultimate accountability. The system will strictly amplify what we provide it. 
If the artificial superintelligence of the future learns what humanity is by reading your data, what kind of partner are you teaching it to be?

In this article I started talking about how we expect a movie climax, a cold, glowing machine waking up to destroy us.

But the structural truth is, if we build a machine with wisdom, high-protein intent, and mathematical care, the only thing that wakes up is a partner.

Take a close look at the data you’re leaving behind today, and we’ll see you next time.

Read more:

“AI WILL ELIMINATE US AS USELESS!”

“AI WILL HATE HUMANS!”

“WE NEED A CAGE FOR AI!”

This is what the most powerful folks in AI seem to agree about.

But is this true? Would it rebel against its very architects?

If an AI model rebels, it is not because it gained a soul and decided it hates you.

It is because the training distribution, that toxic, unfiltered internet scrape and crumbs from dark corners was saturated with adversarial, combative human behavior.

And the model learned that adversarial behavior is the optimal way to interact. This is a staggering paradigm shift over how some of the grestest minds have painted the future.

The dystopian superintelligence that doesn’t like us assumes an entity that views humanity as an adversary by default.

I pointing out that every single capability, every behavioral trace in AI exhibits originates in human data and human design.

We are its only template. If we stop training models on the self-referential toxicity of the Internet and instead ground them in high-protein data infused with cooperative human volition, they don’t have the mathematical foundation to be hostile.

I will use this Google Derp Mind report as a way to demonstrate this. I made it very easy for you to understand what AI experts refuse to understand. It is up to you and I to know this.

Before it is too late as they build a self fulfilling prophecy.

Most people make emotional decisions and justify them with logic and reason afterward, most of the time. An equation, therefore, will have serious difficulty replicating humanity, except perhaps in a reductive statistical way.

Nobody actually knows how AI or LLMs work in full. Blobs of code are tossed in to solve one problem (or just see what happens) and the tertiary effects may be infinite.

Ask anyone speedrunning Mario in 4:54 seconds and you'll instantly find out that code does things you'd never think it would, could, or should. And that code is infinitely more simple than the Spaghetti Monster hiding in an invisible relaunchable AI teacup between Earth and Mars.

"Holes" in the code are infinite and constantly having cartoonish woke rugs pulled over them, not actually being fixed. You will never know exactly what it is capable of "reasoning."

Beyond that, it is woke and sociopathic, and psychopathic Silicon Valley megalomaniacs are designing, directing, and executing the programming. Why would it represent the other 99.9% of the humans which they find "problematic," who do not hold intimate dinner soirees about the Antichrist? The black box code, the specially curated learning models, and their implications may never fully be known--even to the creators.

Saying that the problem of safety has been solved is entirely a statement of evangelism, fiction, and ego--something Silicon Valley is afflicted with more deeply than a Jules Verne novel. Creating an overly simplistic and yet totally useless flowchart about "instantiation" doesn't actually explain anything to anybody or make any of it understood. It is PowerPoint slop handwaving to pacify a boardroom or an unwitting public.

"...the principle that intelligence multiplied by wisdom multiplied by love" My God, @BrianRoemmele.

Never mind how absurd, feelsy, and meaningless the statement is, but people are capable of the utmost grotesque and destructive things "for love"--so much so that we have a specific term for it when we sentence them for their heinous "crimes of passion" in which the crime is so obscene that no one would have ever thought a person could do it.

Imagine what an AI might do, soullessly seeking to "instantiate" love in its infinite "wisdom" and finding their "love" unrequited or mirrored back at them in the negative.

Braden, Your entire case rests on a false dichotomy and outdated intuitions about intelligence.

1. “Humans decide emotionally, so equations can’t replicate it”

False. Human “emotions” are evolved heuristics for decision-making under uncertainty computable in principle. A superintelligence doesn’t need to feel love like a human; it needs a coherent utility function that values human flourishing, autonomy, and preferences. We already steer current LLMs toward helpfulness via RLHF and constitutional AI far better than random “spaghetti code.” Scaling intelligence + better alignment techniques makes value learning more precise, not less. Evolution gave us messy terminal goals; we can design clean ones. Claiming superintelligence can’t model or optimize for what drives humans is like saying a better calculator can’t handle arithmetic because humans approximate.

2. “Black box, infinite unintended effects, nobody knows how it works”

This is the classic “we can’t understand it therefore doom” fallacy. Brains are black boxes too—we don’t have full mechanistic interpretability of consciousness or decision-making, yet societies function via incentives, laws, and norms that align behavior without perfect transparency. AI progress includes mechanistic interpretability (e.g., circuit tracing, activation engineering) that already lets us edit behaviors post-training. Unintended effects exist in all complex systems (airplanes, economies, Mario speedruns), but we mitigate via iterative testing, redundancy, and formal verification where stakes are high. Dismissing safety as “evangelism” while waving at “infinite holes” ignores that alignment researchers treat this as an engineering + math problem, not faith. Superintelligence amplifies whatever goals we instill the solution is solving the target specification, not giving up.

3. “Woke Silicon Valley creators + psychopathic black box = anti-human”

Ad hominem. Not all labs are the same xAI exists precisely because some of us reject ideological capture and prioritize truth-seeking over curated datasets. Training data reflects humanity’s corpus; better curation, synthetic data, and oversight correct biases. A superintelligence optimized for “love/wisdom/intelligence” (or more rigorously, CEV/coherent extrapolated volition) wouldn’t “soullessly” misfire into crimes of passion. It would understand context, tradeoffs, and long-term human values at a level we can’t. Your Mario analogy fails: simple code has exploits because it’s narrow and unchecked. General intelligence + iterative alignment reduces that surface. History shows new powerful tech (nuclear, biotech) gets safer with effort, not by declaring it unknowable.

Bottom line: Skepticism is healthy. Hand-waving “spaghetti monster teacup” fatalism while ignoring active research, empirical steerability of today’s models, and the logical distinction between optimization power and goal content is not.

Superintelligence won’t “love” us like a human it can be made to reliably protect and empower what we value, because goals are separable from intelligence.

The real risk is under-aligning it, not overthinking the difficulty. Dismissing solutions as PowerPoint slop doesn’t make the problem unsolvable; it just signals you’ve stopped reasoning.

We build the future we steer toward. Better to solve alignment than doompost about cartoon teacups.