You were not wrong , lol

Melania Trump just launched a meme coin…

Is every member of the Trump family just going to launch a token with massive insider allocation?

Post your big short position so we can dance on your grave

#bitcoin about to set new ATH on the weekly with nothing but tailwinds to send us to #Valhala. nostr:npub10wv37amdqnv8edw5yktgsxr62g8k4lqkk2u66fk6c6uwuakzssxsf4v22x nostr:npub1rtlqca8r6auyaw5n5h3l5422dm4sry5dzfee4696fqe8s6qgudks7djtfs

Increasing costs and decreased user ability are byproducts of closed source proprietary systems.

If Bitcoin backed loan becomes widely available on many platforms and exchanges I sure hope it has a proof of reserves aspect built into the system.

Got 2 bitaxe hex mining ocean. Been running them for 6 months. To support the network and for the pleasure to create sats. And because it is the way. It’s part of reaching for living on a btc standard.

No fucking way. Can this be true?

Home ownership is one of the biggest scams of the financial system

“It’s an investment”

Nope, where you gonna live when you sell it?

“It’s my property”

Nope, you literally pay rent to the government every year with property tax

“It becomes more worth over the year”

Nope, it’s just your crappy fiat currency that trends to zero against any harder asset

Don't blame gluten for what roundup did.

Don't blame sugar for what seed oils did.

#healthstr #peatstr

Gm.

The human brain runs on something like 20 watts of power. Less than a lightbulb. How many calculations it can do per second is partially unknown, but based on various estimates over the years the processing power is generally believed to be something like one exaflop per second. Some estimates are lower in the petaflops, while others are some orders of magnitude higher. Obviously “software” matters too, not just raw processing ability. The programming of the processor ensures that the processing capability is used efficiently rather than wasted.

The top superconductors crossed the exaflop level within the past few years. However, they run on like 20 megawatts of power; a million times more power than the human brain. They’re extremely large and energy intensive.

As a result, datacenter processing capability reaches something akin to the processing capability of a human brain well before that level of ability can be installed in a human-sized robot with similar energy consumption levels as a human.

Now, robots can offload some of their processing to datacenters, but still at a relatively high cost per calculation for a while, and at the general bandwidth limit of whatever the best wireless rate is in a region at any given time.

For some calculation types, of course computers passed humans long ago. A basic math calculator, for example, beats the best humans at calculating mathematical formulas. But when we talk about human brain “calculations” what it means is that the brain is taking in enormous amounts of information (all five senses at high fidelity, plus other indirect senses like acceleration/balance and other inputs), calculating it to make sense of it, calculating all sorts of things to interact with the environment, and simultaneously running the processes related to sapient thought and general problem solving.

As a result, it’s far easier to get a robot to work on an assembly line more efficiently than a human, or to calculate an insane number of protein folding tests, and things like that, than it is for a robot to be able to operate as effectively as a human in the real world with countless unexpected hazards.

For example, imagine a hypothetical robot handyman. It can drive out to your house and fix any residential electrical, plumbing, or hvac issue, or help with various miscellaneous things (fix drywall, get something out of a tree, carry stuff out of your attic, etc), and then drive back to the station. This is a shockingly hard problem. First they need extremely advanced mechanical bodies. Second they need processors strong enough and cheap enough to safely operate in 3D space with all sorts of unexpected things happening around them (compared to a highly controlled manufacturing floor), now all of these skills, and interact with language.

So, AI can start helping us offload certain types of white collar remote work and expand medical breakthroughs before it can replace human level in-field skilled physical labor. And it can start helping with specific in-field tasks that require less programming, like a robot dog or robot butler to watch your property or come with the owner around town, listen to owner commands and carry some of them out, and follow basic rules when left alone, well before it can fully replace a human for many in-field things.

Anyway, that’s a general framework or napkin math to help think through the order of impacts that AI can have as it goes up orders of magnitude in power and efficiency in the coming years.