It’s also very hard to make them resistant to water and dust, I really like that I can wash my iPhone in the sink and don’t have to worry about it getting wet in general. This is a lot harder to achieve with battery doors, especially if they need to be as big as a phone back.

Completely untrue and debunked ad nauseum.

Rugged phones with removable batteries has vastly superior IP ratings. Glues go bad faster than O-rings used in removable batteries do.

I've had water intrusion with an iPhone, and it drove a sales of a new display panel from myself. Not so much with an actual rugged phone.

Rugged phones are so far removed from any consumer phone in terms of size and weight the comparison is about as apt as comparing military use laptops with a MacBook.

You... wash your phone in the sink?

Easiest way to get rid of dust and other buildup, free flowing water for a few seconds and done. Compared to the Middle Ages of using tooth picks or similar to clean the ports and speakers it’s much nicer. And no, I don’t have my phone in any weird places, just my pocket.

”Any host” of what? That’s such a non-descriptive statement and clearly not true at face value.

Snark aside, this is an actual problem for a lot of developers in varying degrees, not understand anything about the layers below make for terrible layers above in very many situations.

That would be the definition of learning something, yes.

Understanding is not learning. Zero effort gives zero rewards, I ask Claude plenty of things, I get answers but not learnings.

That valuation is more insane than most, I would’ve loved to hear the arguments for it, it was a given they would have to compete with the companies who provides them with the models, anyone who thought they would just leave that market alone is a damn fool (the vendor lock-ins are great too, add some hosting, domain selling, etc and you got free money).

All while Frank is pitching his state of the art basement datacenter to VC's, getting billions of dollars in investments.

You still have to account for the non-deterministic behavior of an LLM, when do you know you have exhausted its possible outcomes for any given piece of code?

It’s almost cute how insignificantly small that amount is considering the companies named. Great for The Linux Foundation of course, but it still feels like they are being cheap as heck.

17M seems like a rounding error these days with all the AI investments. Probably some spare cash in a fund that needed to be closed or something.

Solving actual problems are hard, and even harder to get money for (see research). Most VC’s are in it for the returns only, not actually making a change, there are some exceptions but they are far and few apart.