I’m sorry but this article‘s headline/thesis is atrocious. The headline strongly implies there were e-scooters back then; there weren’t. Second, London’s pavements weren’t cluttered with autopeds; or if they were, there’s no evidence offered. Third, why expand the image with AI? The original is fine.

I do appreciate the dive back into history, but ianvisits.co.uk (which I usually like) can do much better.

If “your own cards” are with non-neobanks, they tend to offer poor exchange rates, and add commission on top.

While it seems the Wim Hof Method (WHM) is great for an energy boost, mindfulness meditation actually outperformed it in a couple of areas: significantly higher accuracy on executive function tasks; and significantly higher objective sleep quantity (total minutes asleep). Personally I’d rather have slightly slower reaction times and better accuracy than rapid “hot takes”. Funnily enough these aspects are not mentioned on the linked article; see the full study here:

https://rdcu.be/eUPOv

I’m amazed by how much Gemini 3 flash hallucinates; it performs poorly in that metric (along with lots of other models). In the Hallucination Rate vs. AA-Omniscience Index chart, it’s not in the most desirable quadrant; GPT-5.1 (high), opus 4.5 and 4.5 haiku are.

Can someone explain how Gemini 3 pro/flash then do so well then in the overall Omniscience: Knowledge and Hallucination Benchmark?

Hallucination rate is hallucination/(hallucination+partial+ignored), while omniscience is correct-hallucination.

One hypothesis is that gemini 3 flash refuses to answer when unsuure less often than other models, but when sure is also more likely to be correct. This is consistent with it having the best accuracy score.

I'm a total noob here, but just pointing out that Omniscience Index is roughly "Accuracy - Hallucination Rate". So it simply means that their Accuracy was very high.

> In the Hallucination Rate vs. AA-Omniscience Index chart, it’s not in the most desirable quadrant

This doesn't mean much. As long as Gemini 3 has a high hallucination rate (higher than at least 50% others), it's not going to be in the most desirable quadrant by definition.

For example, let's say a model answers 99 out of 100 questions correctly. The 1 wrong answer it produces is a hallucination (i.e. confidently wrong). This amazing model would have a 100% hallucination rate as defined here, and thus not be in the most desirable quadrant. But it should still have a very high Omniscience Index.

This comprehensive response/rebuttal [1] buried in the article’s comments, by one of the authors of the World Happiness Report, is worth reading. One of the most interesting points is how subjective well-being indicators predict people’s voting behavior: “…in 2016 US presidential elections, subjective well-being indicators - especially Cantril Ladder now and expected Cantril Ladder in five years - measured on a county level predicted voting for Trump better than any county-level economic indicator.” The unhappier people were, the more likely they voted for Trump.

Also, it links to a report on why Nordic countries tend to perform so well on life evaluation indicators: “ the most prominent explanations include factors related to the quality of institutions, such as reliable and extensive welfare benefits, low corruption, and well-functioning democracy and state institutions. Furthermore, Nordic citizens experience a high sense of autonomy and freedom, as well as high levels of social trust towards each other, which play an important role in determining life satisfaction. On the other hand, we show that a few popular explanations for Nordic happiness such as the small population and homogeneity of the Nordic countries, and a few counterarguments against Nordic happiness such as the cold weather and the suicide rates, actually don’t seem to have much to do with Nordic happiness.”

[1] https://open.substack.com/pub/yaschamounk/p/the-world-happin...

We didn’t tax tractors, but we did tax the expanded economy tractors enabled, and built institutions to manage the transition.

Ex-farmhands had time to move into new jobs created by the Industrial Revolution, and it took decades. People also moved into knowledge work. What happens when AI takes all those jobs in far less time, with no other industries to offer employment?

If AI makes a few people trillionaires while hollowing out the middle class, how do we keep the lights on?

> If AI makes a few people trillionaires while hollowing out the middle class, how do we keep the lights on?

Tax the thing you care about? You don't need to care really about the definition of AI or what an AI is or anything like that, you care that some people got trillions.

Tax "making an absolute shitton of money" or "being worth an insane amount". Taxing AI specifically means you're absolutely fucked if Altman turns out to not earn that much but someone who makes a specific connector to data centres is the richest person in the world. Is Nvidia an AI company? What is AI? *Who cares?* The point is to figure out some way as a society of continuing.

Easy to say in a online forum, I imagine this could quite literally start a civil war in some nations.

There is a scene of wealth transfer agent simulations. With some dynamics you easily end up in a situation where after enough transactions, all of the wealth is concentrated on one single agent. Think about "I am the state" but extended to the whole world. Billionaires trying to affect countries' elections seems child's play compared to that.

That's not a phone and a desktop. I feel like I'm stating the obvious here; it's too big to be a phone, for any reasonable definition of 'phone'.

Not by definition; from the Vlad response linked above: "we do not call all sources for all queries, as we balance cost efficiency with result quality - a delicate optimization". But I could understand how one may want to eliminate any possibility!

wouldn't a smart sales strategy be to always show that some of the available items have sold, even if they haven't?

Implying that they're lying in order to collect emails for marketing purposes? Unheard of.

Which would need completely different signaling systems, where sensors for sections are every few meters instead of like now having sections hundreds of meters or even kilometers long. That's investment of hundred of billions + maintenance.

In Europe we are integrating ETCS since 1996 and it is still not done.