I have a simple hack to achieve most of the advantages of the Daylight Computer: set the display of your computer, tablet or smartphone to greyscale. Voila!
Author here. I haven't had Promite for several years (it's impossible to find where I live) but I remember it being softer in texture (more like a normal spread) and a smoother flavour profile. Less intense (in a good way!) but still robust and flavourful. It was my favourite over Vegemite.
You are entirely correct. However, it's also important to imagine the future we DON'T want to create, and then do our best to prevent it. Otherwise books like 1984, Fahrenheit 451, and Dr. Strangelove wouldn't be such beloved classics.
A lot of the confusion and anxiety will melt away if we distinguish the terms “optimal” and “desirable”.
The most desirable amount of fraud, corruption or tax evasion is zero.
In the real world we don’t get what we desire. The closest we can came is to the optimal amount, where the marginal cost has to equal the marginal benefit.
The good thing about twitter is people of expertise chiming in to deconstruct or fortify an argument. The whole process is like having a peek into a writer's draft of a book and get a feel for the process (word choices, flow, rewrites) rather than just reading the final finished "perfect" chapter. In blog scenario, the writer is embodying all these distinct positions and forging a path from premises to conclusions to make a case. Being a fallible human, he will prefer a path which makes his pre-decided conclusions stand out best.
On twitter, the replies that deconstruct or fortify an argument are interspersed with a lot of junk. I've built https://en.howtruthful.com/ as a tool specifically for deconstructing and fortifying arguments. I see a lot of potential to succeed where twitter failed.
"The test of a first-rate intelligence is the ability to hold two opposed ideas in the mind at the same time, and still retain the ability to function" — F. Scott Fitzgerald.
Infact we can generalize this to N ideas cases.
Take two ideas. A and B. Give weight ∆ and 1-∆ to them. Multiple the positions of those ideas with the weights. This gives you a new interpolated position. Now repeat this with new position and idea C. And so on. You will quickly cover the area of convex hull of these ideas.
I think with future advanced LLMs the above scenario is achievable.
