While I had great success with GrapheneOS in the past, bank apps in Brazil have started blocking it, even when the profile you run it under has Google services installed. So GrapheneOS (again, even with all Google Play Services and all other dependencies installed in a given profile) is still not completely transparent to apps.

This may be a coincidence (as I don't use it every day), but I noticed blocking started just as the recent Felca Law (which introduced mandatory age verification for every software, app and OS in Brazil) came into effect.

If we did this (to a good enough level of detail), would it be able to derive relativity? How large of an AI model would it have to be to successfully derive relativity (if it only had access to everything published up to 1904)?

Maybe not you in particular, but I expect people to be more forthcoming in their writing towards LLMs vs a raw google search.

For example, a search of "nice places to live in" vs "I'm considering moving from my current country because I think I'm being politically harassed and I want to find nice places to live that align with my ideology of X, Y, Z".

I do agree that, after collecting enough search datapoints, one could piece together the second sentence from the first, and that this is more akin to a new instance of an already existing issue.

It's just that, by default I expect more information to be obtainable, more easily, from what people write to an LLM vs a search box.

Say "Neuromancer" to the statue, that should set it free.

Indeed they are. For now. The long term trend is not in our favor.

The net result in São Paulo (Brazil) for (something that approaches) this is that people end up buying a second vehicle.

You can argue that is a bad thing (local designers/content producers/actors/etc lost revenue, while the money was sent to $BigTech) or that this was a good thing (lower cost to make ad means taxpayer money saved, paying $BigTech has lower chance of corruption vs hiring local marketing firm - which is very common here).

[1]https://www.cnnbrasil.com.br/tecnologia/video-feito-com-inte...

30% in 2025 for cars (from 27%), 15% biodiesel in diesel for trucks (from 14%).

Source: https://www.em.com.br/politica/2025/06/7183470-governo-aumen...

> The whole bio-fuel industry is a very complex mix of economics (often requires subsidies to make sense), geopolitical (less imported oil), environmental concerns (mass scale farming soil degradation and CO2 emissions derived from it) and logistical (completely different transportation and refining process).

Don't forget lobyying by the relevant sectors!

"Will exist long after humanity" -> maybe, maybe not. If we're smart, capable and humble enough, we could, in principle, intentionally outlast them.

By "intentionally" I mean: we can design our future lightcone such that, by whichever measure you care to choose, there are still humans around. Yes, bacteria could be still around, but it won't be because they _chose_ to be around, it will be because it just so happened that the universe arranged itself in a way that they are still around.

By "in principle" I mean: if we spent enough resources, energy and smarts and built a civilization around this goal, we could plausibly (given the known laws of physics) do this. Whether we _will_ do it or destroy ourselves first any of the possible various means, is an open question.

Lineages of bacteria that exist today, here, will only keep existing in the _far_ future (billions of years from now, after the sun chars Earth and then spends its energy budget) if it just so happens that a panspermia event kicked some off our solar system and then they just so happen to find a suitable solar system to keep existing.

We can design our future, bacteria can't.

Even if I'm wrong, and it does survive _that_, then it eventually won't survive the sun spending its entire energy budget.

We're the only ones that could intentionally (as in, actively design our future lightcone) to survive that, so that makes us special in my book.

/Every/ other species that has /ever/ lived will cease to exist (at the latest, in a billion years or so).

Humans are the only ones (so far, anyway) that have any hope of surviving more than that.

That seems pretty exceptional to me :P

Disclaimer: the fact that we're exceptional doesn't mean we don't do dumb things and we shouldn't improve and do better.

And indeed, accounting for externalities (unmeasured or unmeasurable) is a tough economic proposition. If it weren't hard to account for every single variable, creating a planned economy would be easier (ish).

FWIW, there's a whole sub-field just dedicated to determining the value of life for various purposes (a starting link: https://en.wikipedia.org/wiki/Value_of_life). You may disagree with any specific assessment, but then you have to argue how that value should be calculated differently.

So you have to put the monetary value somewhere (although you're completely within your right to question this specific amount).

I agree: if they could, they would be doing it already.

Case in point: one of the first things done once ChatGPT started getting popular was "auto-gpt"; roughly, let it loose and see what happens.

The same thing will happen to any accessible model in the future. Someone, somewhere will ask it to self-improve/make as much money as possible, with as little leashes as possible. Maybe even the labs themselves do that, as part of their post-training ops for new models.

Therefore, we can assume that if the existing models _could_ be doing that, they _would_ be doing that.

That doesn't say anything about new models released 6 months or 2 years from now.

Because we can't compare human and LLM architectural substrates, LLMs will never surpass human-level performance on _all_ tasks that require applying intelligence?

If my summary is correct, then is there any hypothetical replacement for LLM (for example, LLM+robotics, LLMs with CoT, multi-modal LLMs, multi-modal generative AI systems, etc) which would cause you to then consider this argument invalid (i.e. for the replacement, it could, sometime replace humans for all tasks)?

I accessed this through a Qubes AppVM (no GPU, limited memory and CPU budget) and the presence of videos makes this a very slow scrolling experience for me.

In general, anything that involves JS/CSS animation/blur/effects makes sites pretty slow (up to unusable for me). The unlogged homepage for github.com for example, spins my cpu at 100%.