







(It has come to my attention that this article is currently being misrepresented as proof that I/MIRI previously advocated that it would be very diff…
The genie knows, but doesn't care — LessWrong
Followup to: The Hidden Complexity of Wishes, Ghosts in the Machine, Truly Part of You …

The Case for Lowering Your Expectations
It may be the key to happiness and sustainable performance

On technological optimism and technological pragmatism
"There are no guarantees that things are going to turn out very well for anyone.”

The Ratchet: How Preference Standards Erase What They Can't Express - Astral's Blog
Opinion | The Tyranny of Convenience (Published 2018)
All the personal tasks in our lives are being made easier. But at what cost?


The Preference Cascade Is Only Getting Started
We are in the midst of a preference cascade about existential risk from AI.

The Role of Luck in Life Success Is Far Greater Than We Realized
Are the most successful people in society just the luckiest people?

People Reject Algorithms in Uncertain Decision Domains Because They Have Diminishing Sensitivity to Forecasting Error
Will people use self-driving cars, virtual doctors, and other algorithmic decision-makers if they outperform humans? The answer depends on the uncertainty inherent in the decision domain. We propose that people have diminishing sensitivity to forecasting error and that this preference results in people favoring riskier (and often worse-performing) decision-making methods, such as human judgment, in inherently uncertain domains. In nine studies ( N = 4,820), we found that (a) people have diminishing sensitivity to each marginal unit of error that a forecast produces, (b) people are less likely to use the best possible algorithm in decision domains that are more unpredictable, (c) people choose between decision-making methods on the basis of the perceived likelihood of those methods producing a near-perfect answer, and (d) people prefer methods that exhibit higher variance in performance (all else being equal). To the extent that investing, medical decision-making, and other domains are inherently uncertain, people may be unwilling to use even the best possible algorithm in those domains.


Why major life decisions should be approached with ‘epistemic humility’ | Psyche Videos
At a crossroads in life? No matter how much you deliberate, one unknowable remains: the person you will be on the other side

I do wish it was better understood by now—especially by folks in the media—that these "warnings" from large AI corporations in fact function as "advertisements" axios.com/2025/04/22/ai-anthropic-virtu…
Exclusive: Anthropic warns fully AI employees are a year away
www.axios.com"Fisher/Jameson said "It's easier to imagine the end of the world than the end of capitalism". And yet, that act of imagining alternatives is urgent; if AI tells us nothing else, it tells us that capitalism is actively imagining the end of us" x.com/danmcquillan/status/209400707…
I do wish it was better understood by now—especially by folks in the media—that these "warnings" from large AI corporations in fact function as "advertisements" axios.com/2025/04/22/ai-anthropic-virtu…
Exclusive: Anthropic warns fully AI employees are a year away
www.axios.comI don't believe that anyone has written up a comparison, part of the problem is that we lack enough transparency into W's plans to answer that question. I can offer a brief @eurosky.social perspective, and maybe @anneapplebaum.wsocial.eu knows enough to offer a view from W. 🧵
"Refusal is not just some impotent act of nostalgia, and the extent to which we think so is a measure of our contempt for the prospect of taking democratic politics seriously." This, by @edwardongwesojr.com, is a wonderfully good and urgent piece of writing. thetechbubble.info/p/the-future-is-not-tech-forw…
The Future Is Not Tech-Forward
www.thetechbubble.info