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Plunger
74eb3a135097e9d7d8f4c672cb99002a1281488429b444488f8c7b666afa84cd
Plumbing - Cycling - Drumming - Bitcoin Educator at Bitcoin Citadel

If it's good enough for Blackrock, #bitcoin is good enough for me.

You are an inspiration, sir. Your videos are awesome too. This year I am making it a priority to be in riding shape for long road cycling season in the summer and fall.

Replying to Avatar Anarko

🌊 SURF 'N TURF 🏝️

-THE BITCOIN ISLAND LIFE-

5 Albums (1980) Enuff said .....

https://youtu.be/9dD5r7N7Imw

Credits Goes to the respective

Author ✍️/ Photographer📸

🐇 🕳️

#Bitcoin #Satoshis #Freedom #Apocalypse #Music #Movies #Philosophy #Literature

#dogstr #islands #scuba #marinelife

All amazing albums. This is the stuff that defines that defines our generation. You and I are the same bro.

Instantly thought of you when I saw it.

Replying to Avatar HODL

A lot of people have heard my moped story, but heres the math on it.

In 2016 I needed $5,000 to pay my wife’s master’s school tuition.

I didn’t have $5,000 cash at the time, but I did have bitcoin.

Bitcoin was trading at roughly $500, so I would have had to sell 10 bitcoin in order to pay the tuition.

I didn’t want to do that so I sold my car instead for $5,500.

I took $500 of that and bought a shitty moped and used the rest to pay my wife’s tuition.

So I rode the moped around the rest of the year and everyone made fun of me. Usually I play this part of the story up, but tbh it didn’t bother me. The people making fun of me were poorer than I was, they didn’t understand bitcoin or the market or even basic budgeting.

When people would make fun of me I would tell them why I was doing what I was doing. Then I would start peppering them with questions about their financial life.

“Oh so you financed your refrigerator? You’re still paying that off huh?”

“You have a timeshare you’ve never been to? How’d you get talked into that?”

People would generally go from laughing at me riding the moped to feeling shell shocked by me popping their bubble of comfortable delusion.

Still I drove the moped and everyone thought I was being weird and ridiculous and silly etc…

At 100k that decision was worth a million dollars.

At a million it will have been worth 10 million.

And at 10 million it will have been a nine figure decision.

100 million dollars.

I only rode the stupid moped for 8 months.

Ask yourself? Would you face 8 months of sacrifice and ridicule for 10 million in the future?

Because there are things you could be doing today that would generate that for future you.

My advice is to have your own moped moment.

Do something a little weird/cringe/out there in order to stack more sats and then check in on the sats in 10-15 years.

I think you’re going to be happy with the results.

You are an inspiration. Thank you.

You go back asking for a cheeseburger and they look at you sideways

Great dinner to start a nice evening for New Years at Gordon Ramsay Burger Vancouver. nostr:nprofile1qqsdgvut0sesvjgulh65j9x3554cp2t9dp0hxcf3r6h9704078fr5kcprpmhxue69uhkummnv3exjan99eshqup0wfjkcctemgrnlp espresso martini....

Replying to Avatar Lyn Alden

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.

I think we are a little ways off from that. When a robot can offer the superb customer service that a skilled technician can deliver, come talk to me. Humans understand other humans.