Category: Geek stuff

If it involves physics, math, computer science, electronics or has general geek cachet, this is the place for it.

On the potential of superfast minds

The simplest example of speed superintelligence would be a whole brain emulation running on fast hardware. An emulation operating at a speed of ten thousand times that of a biological brain would be able to read a book in a few seconds and write a PhD thesis in an afternoon. With a speedup factor of a million, an emulation could accomplish an entire millenium of intellectual work in one working day.

To such a fast mind, events in the external world appear to unfold in slow motion. Suppose your mind ran at 10,000X. If your fleshy friend should happen to drop his teacup, you could watch the porcelain slowly descend toward the carpet over the course of several hours, like a comet silently gliding through space toward an assignation with a far-off planet; and, as the anticipation of the coming crash tardily propagates through the folds of your friend’s grey matter and from thence out to his peripheral nervous system, you could observe his body gradually assuming the aspect of a frozen oops—enough time for you not only to order a replacement cup but also to read a couple of scientific papers and take a nap.

Bostrom, Nick. Superintelligence: Paths, Dangers, Strategies. Oxford University Press, 2014. p. 64

NotebookLM on CFFD scholarship

I would have expected that by now someone would have written a comparative analysis on pieces of scholarly writing on the Canadian campus fossil fuel divestment movement: for instance, engaging with both Joe Curnow’s 2017 dissertation and mine from 2022.

So, I gave both public texts to NotebookLM to have it generate an audio overview. It wrongly assumes that Joe Curnow is a man throughout, and mangles the pronunciation of “Ilnyckyj” in a few different ways — but at least it acts like it has read about the texts and cares about their content.

It is certainly muddled in places (though perhaps in ways I have also seen in scholarly literature). For example, it treats the “enemy naming” strategy as something that arose through the functioning of CFFD campaigns, whereas it was really part of 350.org’s “campaign in a box” from the beginning.

This hints to me at how large language models are going to be transformative for writers. Finding an audience is hard, and finding an engaged audience willing to share their thoughts back is nigh-impossible, especially if you are dealing with scholarly texts hundreds of pages long. NotebookLM will happily read your whole blog and then have a conversation about your psychology and interpersonal style, or read an unfinished manuscript and provide detailed advice on how to move forward. The AI isn’t doing the writing, but providing a sort of sounding board which has never existed before: almost infinitely patient, and not inclined to make its comments all about its social relationship with the author.

I wonder what effect this sort of criticism will have on writing. Will it encourage people to hew more closely to the mainstream view, but providing a critique that comes from a general-purpose LLM? Or will it help people dig ever-deeper into a perspective that almost nobody shares, because the feedback comes from systems which are always artificially chirpy and positive, and because getting feedback this way removes real people from the process?

And, of course, what happens when the flawed output of these sorts of tools becomes public material that other tools are trained on?

41

While global conditions and humanity’s prospects for the future are disastrous, my own life has become a lot more stable and emotionally tolerable over the course of this past year of employment. The PhD did immense psychological damage to me. After a lifetime in a competitive education system in which I had done exceptionally well, the PhD tended to reinforce the conclusion that everything I did was bad and wrong, and that I had no control over what would happen to my life. I had serious fears about ever finding stable employment after that long and demoralizing time away from the job market (though still always working, to limit the financial damage from those extra years in school). Being out and employed — and even seeing shadows of other possibilities in the future — gives me a sense materially, psychologically, and physiologically of being able to rebuild and endure.

As noted in my pre-US-election post, having a stable home and income makes the disasters around the world seem less like personal catastrophes, though the general population are behaving foolishly when they assume that the 2020–60 period will bear any resemblance to the ‘normality’ of, say, the 1980–2020 period. Of course, there has been no such thing as intergenerational stability or normality since the Industrial Revolution; after centuries where many lives remained broadly similar, the world is now transforming every generation or faster. In the 20th century, much of that change was about technological deployment. In the years ahead, ecological disruption will be a bigger part of the story — along with the technological, sociological, and political convulsions which will accompany the collapse of systems that have supported our civilization for eons.

My own answer to living through a time of catastrophe — in many ways, literally an apocalypse and the end of humanity, as we are all thrown into a post-human future where technology and biology fuse together — is to apply myself in doing my best in everything I undertake, whether that’s photographing a conference, making sandwiches for dinner, or advocating for climate stability and reduced nuclear weapon risks.

None of us can control the world. A huge dark comet could wipe us out tomorrow. A supervolcano or a coronal mass ejection from the sun could abruptly knock us into a nuclear-winter-like world or a world where all our technology gets broken simultaneously, stopping the farm-to-citizens conveyer belt that keeps us alive. There are frighteningly grounded descriptions of how a nuclear war could throw us all into the dark simultaneously, perhaps unable to resume long-distance contact with others for months or years.

It really could happen all of a sudden, with no opportunities for takesies-backsies or improving our resilience after the fact. We live in a world on a precipice, so all we can do is share our gratitude, appreciation, and esteem with those who have enriched our lives while it is possible to do so, while retaining our determination to keep fighting for a better world, despite our species’ manifest inabilities and pathologies.

Mars as a refuge for humanity?

Consider the 2015 Newsweek article: “Star Wars’ Class Wars: Is Mars the Escape Hatch for the 1 Percent?” which claims “the red planet will likely only be for the rich, leaving the poor to suffer as earth’s environment collapses and conflict breaks out.” The only way you could believe this would be if you had no idea how thoroughly, incredibly, impossibly horrible Mars is. The average surface temperature is about -60°C. There’s no breathable air, but there are planetwide dust storms and a layer of toxic dust on the ground. Leaving a 2°C warmer Earth for Mars would be like leaving a messy room so you can live in a toxic waste dump.

The truth is that settling other worlds, in the sense of creating self-sustaining societies somewhere away from Earth, is not only quite unlikely anytime soon, it won’t deliver on the benefits touted by advocates. No vast riches, no new independent nations, no second home for humanity, not even a safety bunker for ultra elites.

…

Mars is nowhere near being a Plan B home for humanity anytime soon. Consider a worst-case climate scenario. The oceans have swollen ten meters higher, drowning New York City and Boston. Low-lying countries like Belgium and the Netherlands have been swallowed up whole. Heat waves make parts of the Southern Hemisphere uninhabitable as the planet is ravaged by floods, droughts, wildfires, and massive tropical cyclones. More than half of the world’s species die, coral reefs become bleached skeletons, freshwater sources from snowpack melt away or are fouled by rising seas, tropical diseases make their way into formerly temperate climates. Crops fail, people starve, and violence breaks out as over a billion climate refugees beat against the closed gates of the comparatively livable North.

That planet? Eden compared to Mars or the Moon. That Earth still has a breathable atmosphere, a magnetosphere to protect against radiation, and quite possibly still has McDonald’s breakfast. It’s not a world we would like to inhabit, but it is the one world in the solar system where you can run around naked for ten minutes and still be alive at the end.

Weinersmith, Kelly and Zach. A City on Mars: Can we Settle Space, Should we Settle Space, and have we Really Thought this Through? Penguin Random House, 2023. p. 2, 137-8

Related:

Notebook LM on this blog for 2023 and 2024

I have been experimenting with Google’s NotebookLM tool, and I must say it has some uncanny capabilities. The one I have seen most discussed in the nerd press is the ability to create an automatic podcast with synthetic hosts and any material which you provide.

I tried giving it my last two years of blog content, and having it generate an audio overview with no additional prompts. The results are pretty thought-provoking.

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?

…

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: