Are the originators of these investigations the same? Might that matter?

> Crime shouldn't suddenly be ok if you pay taxes on it

Cool. Nobody is making that argument.

Maybe they aren't! But you can't infer that from the mere correlation. Hence that phrase about its relationship to causation.

OP uses that phrase to imply the (un)worthiness of spend. You're using it to mean that it doesn't build or maintain equity, which is true almost tautologically but wouldn't be very meaningful unless your audience doesn't understand what it means to rent something.

The main issue I've had with Kagi is that using "before:" and "after:" just seems weirder than it does on Google, and will throw in some stuff that's visibly outside the ranges I selected sometimes.

My early experiments with LLM Python seemed to give me that impression, but I'm wondering if it's better now or people have other experiences.

Are we overloading the term "datacenter"? Or is it not overloaded but somehow able to achieve datacenter-like speeds / (tail) latency even when distributed across satellites?

Well put.

Pop science is what it is, but I'm bewildered when the rhetoric around plants "screaming in pain" weasels its way into my conversations. Then it's a game of understanding whether my correspondent sees it as a funny way of straining language, or whether they think it's close to the truth.

- I already isolate workloads between VMs or containers

- Wayland support isn't really there yet without breaking the interop that Qubes provides

- Personal Qubes use cases (e.g banking) overlap with GrapheneOS profiles for me, which I already use. Though Graphene profiles are less ergonomic in that they don't support templating yet.

But I've thrown it on my carry-around Thinkpad to give it a shot and I like it so far.

The transition from GPT4 to GPT5 was not well recieved among this crowd -- nevermind that I think this crowd is pretty small (comparatively) to begin with. I just don't imagine you can build a business on that sliver of a sliver, much less one that justifies OpenAI's spending.

Internet Explorer being pre-installed on Windows devices didn't prevent it from being demolished by newcomer Chrome throughout the 2010s. Now we're looking at a product that's even less integrated, and whose value is exposed through universal interfaces (human language, images, etc.).

If OpenAI succeeds, I imagine that remarkably little of it will have come from the brand. But subtracting the first-mover brand advantage: they can either compete on the frontier, which seems difficult and bears potentially diminishing returns (particularly wrt to distillation); or compete as a commodity, which I imagine cannot justify their valuation/spend.

It seems very uphill of a battle.