Monbiot on alienation and politics

When politics, bereft of relevant stories, cannot connect with the lives of those it claims to represent, it contributes to the dominant condition of our age: alienation.

Alienation means many things. Among them are people’s loss of control over the work they do; their loss of connection with community and society; their loss of trust in political institutions and in the future; their loss of a sense of meaning and power over their own lives; and a convergence of these fissures into psychic rupture. In the political sphere, alienation leads to disengagement, and disengagement opens the way for demagogues.

Monbiot, George. Out of the Wreckage: A New Politics for an Age of Crisis. Verso, 2017. p. 54

AI image generation and the credibility of photos

When AI-assisted photo manipulation is easy to do and hard to detect, the credibility of photos as evidence is diminished:

No one on Earth today has ever lived in a world where photographs were not the linchpin of social consensus — for as long as any of us has been here, photographs proved something happened. Consider all the ways in which the assumed veracity of a photograph has, previously, validated the truth of your experiences. The preexisting ding in the fender of your rental car. The leak in your ceiling. The arrival of a package. An actual, non-AI-generated cockroach in your takeout. When wildfires encroach upon your residential neighborhood, how do you communicate to friends and acquaintances the thickness of the smoke outside?

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For the most part, the average image created by these AI tools will, in and of itself, be pretty harmless — an extra tree in a backdrop, an alligator in a pizzeria, a silly costume interposed over a cat. In aggregate, the deluge upends how we treat the concept of the photo entirely, and that in itself has tremendous repercussions. Consider, for instance, that the last decade has seen extraordinary social upheaval in the United States sparked by grainy videos of police brutality. Where the authorities obscured or concealed reality, these videos told the truth.

Perhaps we will see a backlash against the trend where every camera is also a computer that tweaks the image to ‘improve’ it. For example, there could be cameras that generate a hash from the unedited image and retains it, allowing any subsequent manipulation to be identified.

Related:

Combinatorial math and the impossibility of rationality

A perfectly rational entity maximizes the expected satisfaction of its preferences over all possible future lives it could choose to lead. I cannot begin to write down a number that describes the complexity of this decision problem, but I find the following thought experiment helpful. First, note that the number of motor control choices that a human makes in a lifetime is about twenty trillion… Next, let’s see how far brute force will get us with the aid of Seth Lloyd’s ultimate-physics laptop, which is one billion trillion trillion times faster than the world’s fastest computer. We’ll give it the task of enumerating all possible sequences of English words (perhaps as a warmup for Jorge Luis Borges’s Library of Babel), and we’ll let it run for a year. How long are the sequences that it can enumerate in that time? A thousand pages of text? A million pages? No. Eleven words. This tells you something about the difficulty of designing the best possible life of twenty trillion actions. In short, we are much further from being rational than a slug is from overtaking the starship Enterprise traveling at warp nine. We have absolutely no idea what a rationally chosen life would be like.

Russell, Stuart. Human Compatible: Artificial Intelligence and the Problem of Control. 2019. p. 232 (italics in original)

Related: How many unique English tweets are possible? How long would it take for the population of the world to read them all out loud?

Group bike rides build community

I have been getting a lot of satisfaction lately from group bike rides. Community emerges naturally when people ride bikes in groups. The contrast underscores how automobile culture is a death cult: every driver gets their own sarcophagus for the living to move them through places while keeping the driver sealed apart. The driver is isolated from nature, from community, and from life at a human scale. They begin to live at a car scale where our instincts and experiences no longer bind us to our neighbours. The car is built to move at 60, 80, 100 km per hour, and to be indifferent to anything it might need to kill to do so.

Group bike rides provide a tangible vision for an idealized future without private cars. That’s a world where people who take the same routes and live in the same neighbourhoods know each other and talk: where they are neighbours. That’s a world with flower fairy girls on lavishly decorated cruiser bikes, and with guys in motorcycle helmets and body armour riding on zippy electric unicycles.

On a bike in the city, you live with the constant awareness of being killed. When riding alone, the great majority of my attention is always directed to nearby drivers and what abrupt, dangerous, or illegal thing they may do next. For drivers in the city, they may live with a mild awareness that their every careless action threatens to kill others, but they are distracted by bluetooth calls and streaming media, alienated from their fellow residents by socially atomized affluence, and shielded by public opinion and a legal system where killing someone with your car through simple carelessness is a minor and unimportant oversight which ought not to impede your happy motoring.

Game theory and the limits of reason

I myself suffer from a morbid sense of despair, and even now, decades after I worked with von Neumann, I still find myself questioning our central tenet: Is there really a rational course of action in every situation? Johnny proved it mathematically beyond a doubt, but only for two players with diametrically opposing goals. So there may be a vital flaw in our reasoning that any keen observer will immediately become aware of; namely, that the minimax theorem that underlies our entire framework presupposes perfectly rational and logical agents, agents who are interested only in winning, agents who pose a perfect understanding of the rules and a total recall of all their past moves, agents who also have a flawless awareness of the possible ramifications of their own actions, and of their opponents’ actions, at every single step of the game. The only person I ever met who was exactly like that was Johnny von Neumann. Normal people are not like that at all. Yes, they lie, they cheat, deceive, connive, and conspire, but they also cooperate, they can sacrifice themselves for others, or simply make decisions on a whim. Men and women follow their guts. They heed hunches and make careless mistakes. Life is so much more than a game. Its full wealth and complexity cannot be captured by equations, no matter how beautiful or perfectly balanced. And human beings are not the perfect poker players that we envisioned. They can be highly irrational, driven and swayed by their emotions, subject to all kinds of contradictions. And while this sparks off all the ungovernable chaos that we see all around us, it is also a mercy, a strange angel that protects us from the mad dreams of reason.

Labatut, Benjamin. The MANIAC. Penguin Random House, 2023. p. 144-5. (italics in original)

Reading Kahneman’s Thinking Fast and Slow recently, at several points I was struck by what seemed like the unjustified assumption that people are competent at mental arithmetic. Specifically, that you can give a person a list of probabilities and payouts and then find it legitimately surprising that they can’t or don’t pick the best one. For people constantly immersed in calculation this may be puzzling, but I also have personal experience of highly intelligent and knowledgeable people struggling at (or being unwilling to even try) calculating what a certain percentage of a number is, like for a tip. Studies on the numerical literacy of the general public reveal a worrisome inability to properly gauge millions against billions.

When mathematicians, logicians, and game theorists forget that much of the population cannot or will not calculate, they miss the obvious cause of deviations from their predictions and theories.