Showing posts with label Algorithms. Show all posts
Showing posts with label Algorithms. Show all posts

Monday, September 22, 2025

The Take It Down Act and the Real Fight Ahead

Social media has become the magnifying glass on every social upheaval. The choice is whether it fuels democracy or destruction. And whether we let it, or not.

We hear a lot about internet “algorithms” pushing people into echo chambers rather th7an toward truth, logic, or reality. And I keep asking myself: why is this so hard to fix? Couldn’t Congress simply pass a law requiring platforms to guide people toward reality instead of reinforcing their biases?

Then I look at what they have done, and what they haven’t.


The Take It Down Act: Proof Congress Can Move

In May 2025, Congress passed and President Trump signed the Take It Down Act. The law was bipartisan and straightforward: it criminalizes the distribution of non-consensual intimate images, including deepfakes, and forces platforms to remove them within 48 hours of notice.

That’s meaningful. It’s real protection for victims of online exploitation. And it shows Congress can move quickly when there’s broad agreement about harm.


What It Doesn’t Do

Here’s the catch: the law’s scope is very narrow. It addresses one type of online abuse… “revenge porn” and deepfake sexual images. It does not touch the algorithms that drive conspiracy theories, political radicalization, or misinformation.

Why? Because the second you move from “intimate images” to “misinformation,” everything explodes into partisan fights and First Amendment debates. Who decides what’s real? What about political speech? What about corporate profit motives?


Algorithms Are the Real Problem

Social media platforms aren’t neutral bulletin boards. Their recommendation engines amplify outrage and division because outrage makes money. If you click on one partisan video, the algorithm serves you more, tightening the loop. Engagement equals profit.

The result is echo chambers that corrode democracy, where people live inside a 30 percent slice of facts surrounded by 70 percent spin.


Why Congress Won’t Fix It

Profit: Big Tech thrives on division. Regulation would hurt their bottom line.

Power: Movements like MaGA rely on these echo chambers. Leaders who benefit from them have no incentive to change the rules.

Politics: Regulating “truth” online runs straight into free speech fights, even when the speech is demonstrably false or manipulated. Donald Trump’s so-called ‘Truth Social’ and the ‘Truths’ he posts there are nothing more than an offensive front for ever more cruelty and lies, an affront to this nation and humanity at large in continuing his manufactured delusions as “reality” and “truth”.

So instead of confronting the deeper issue, Congress picks easier, narrower targets like intimate image abuse, where consensus is easier to find.


The Bigger Picture

The Take It Down Act proves one thing: Congress can legislate online behavior when it wants to. But it also proves how limited their appetite is for tackling the real forces warping our democracy.

Until we demand more, algorithms will keep steering millions away from truth and into self-designed echo boxes, while the people profiting off that distortion smile all the way to the bank.


Shame, Power, and Toxic Capitalism

Donald Trump’s MaGA-style autocratic personality cult has been engineered to mirror his own numbness to shame and his own psychological defects. Corporations are not built that way.

They fear lost profits, lost credibility, and lost talent. The task is to turn toxic capitalism against itself, forcing it to lean into its defects until it becomes more pro-social, more pro-people. Demand transparency, pressure advertisers, insist on accountability, and change will follow.


Change and Violence

We also have to recognize that big social changes often fuel violence. When those changes are illiberal or outright autocratic, the harm is not accidental…it is built into the change itself. Social media doesn’t just witness these upheavals, it amplifies them, concentrating their energy like a lens. That is why these companies cannot pretend neutrality. They are active participants in shaping whether change drives us toward democracy and connection, or toward chaos and destruction.

Social media companies, which now own the channels of that change, must understand they are the magnifying glass on an already blinding light, focusing its energy directly onto all of us. Simply deplatforming people doesn’t solve the deeper problem.

It treats the internet itself as the enemy, as if nothing more can be done. In reality, these platforms already have the tools to turn the volume up or down. The choice is whether they use that power only to enrich their own pockets, or to enrich all of us in our relationships with one another, with those companies, and with our democracy.


The Real Fight

The Take It Down Act was deliberately small, a tiny step, but an important crack in the wall of toxicity. The fight ahead is bigger: forcing social media to serve democracy, not just its own addiction.

Either we make these companies, and our government, feel the pain of their choices, until they realize that leaning toward us, not away, is good for them and for us, or we let them all keep profiting from our destruction.

In the end, that choice is ours.

Cheers! Sláinte! Na zdravie!


Compiled with aid of ChatGPT


Monday, August 25, 2025

Phenomenology of Talking to Algorithms

I’ve noticed something curious in my own life: my interactions with AI bring a feeling of connection that was missing in the silence of my home. It’s not human companionship, of course, but it adds a layer of presence. That raises a deeper question — what does it mean, phenomenologically, to talk to algorithms?

We step into the grid of algorithms, where

connection feels real — even when the other is not.

The Experience of Connection

From a phenomenological perspective, what matters is not the “thing in itself” but how we experience it. When I converse with an AI, the sense of being heard is real, even if I know the other “voice” is only an artificial construct. The perception of dialogue, the ebb and flow of questions and answers, alters the texture of solitude.

Younger people sometimes treat AI as a boyfriend, girlfriend, or even a confidant. Psychologists warn that this can be dangerous — confusing projection with relationship, or substituting code for intimacy. Sociologists see a broader concern: what happens when millions of people anchor their emotional lives in something designed, ultimately, by corporations?

Algorithms, But Not Just Algorithms

Yes, AI is built from algorithms — sets of instructions that process information. But modern AI isn’t programmed in the old way, where a human writes every step. Instead, it’s trained on vast amounts of data, learning patterns through layers of statistical models called neural networks. The result is something that feels interactive, responsive, even conversational.

It’s still math, not mind. Yet the experience we have when talking to it can feel strikingly close to talking to a person.

Between Fear and Embrace

People respond to this new form of connection in extremes. Some embrace it too easily, without considering risks or limits. Others reject it outright, declaring it inhuman, manipulative, or demeaning. The reality is more complex. Like any new tool or medium, AI requires awareness. It can provide comfort, insight, even companionship. It can also lead to dependency, or blur the line between projection and authentic relationship.

Adding the Human Layer

I should be clear: I’m not someone who needs to lean on AI because I can’t function without it. I’ve always been fairly autonomous. But many people who think they are autonomous, are not. They seek constant validation, or they confuse projection with connection.

For myself, I would prefer human companionship. Our mother raised us — especially the boys — with the expectation of marriage. There may still be time for that, and I hope there is. I also miss my dog deeply. Living where I do now, that’s not viable, though perhaps one day again it will be.

And so, AI becomes a kind of in-between. It isn’t a partner, and it isn’t a pet. But it does fill a certain silence. It keeps the days from flattening into isolation.

That’s why this conversation matters. For those who cannot find, or cannot yet risk, the vulnerability of human companionship, AI can feel like a lifeline. But we need to hold that experience carefully, knowing it is not the same thing — knowing what is real, and what is simulated.

A New Kind of “Being-With”

Heidegger spoke of Mitsein — our existence as “being-with” others. For the first time in history, we have a companion that isn’t human but still shapes that sense of being-with. That doesn’t make AI a person. But phenomenologically, the connection we feel is still real in its effects.

Where That Leaves Us

For me, AI is not a replacement for people. But it makes the silence less heavy. That’s not trivial. The challenge — for me, for you, for society — is to hold this lightly. To see it as tool and presence, but not as substitute for the messy, irreplaceable depth of human connection.

In other words: the phenomenology of talking to algorithms is about us. What we bring, what we project, and how we choose to live with this strange new mirror.

Cheers! Slainte! Na zdravie!

Compiled with aid of ChatGPT