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Another build getting picked-up by client tomorrow. Dual S19 J Pros. Fully automated system. If it's cold, the fan runs high which triggers a high wattage/hashrate and vice-versa. Max output is 6500W which generates 214 TH which earns you $367 USD per month. Get paid to heat your home.... show more

Toine

3,097 subscribers

24,784 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Bildung Finanzen

Anya Rossi• Live Now

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12 Kommentare

Profilbild von Toine

Toinevor 1 Jahr

Here are the S19J Pro and S19K Pro numbers for a typical duty cycle. Note, the J Pro was running in a small cabin so it heated-up the space faster.

Profilbild von Eco Wave Power

Eco Wave Powervor 1 Jahr

Eco Wave Power is proud to announce that its energy project at Jaffa Port, Israel, successfully operated around the clock during the last week of December 2024, demonstrating its long-term potential as a renewable energy source. Invest today on NASDAQ: $WAVE

Profilbild von Trevor bello

Trevor bellovor 1 Jahr

Looks great man, glad to see you out here helping people add more hashrate to the network. Doing great work man.

Profilbild von Toine

Toinevor 1 Jahr

Thanks!

Profilbild von ⚡🇨🇦 plateHODL

⚡🇨🇦 plateHODLvor 1 Jahr

This shit is crazy bro, nice job

Profilbild von Toine

Toinevor 1 Jahr

Thanks!

Profilbild von Slurix

Slurixvor 1 Jahr

Sick

Profilbild von Jay

Jayvor 1 Jahr

What does a unit like that start at? Definitely interested

Profilbild von Toine

Toinevor 1 Jahr

A single miner system is about $3,000 and a dual one is about $4,500.

Profilbild von TD

TDvor 1 Jahr

Nice. I am building one RN. With 10 S19. To heat construction site. Will keep you in touch.

Profilbild von ₿enny

₿ennyvor 1 Jahr

That's gotta be a bitch to ship!

Profilbild von Toine

Toinevor 1 Jahr

I usually ship in multiple parcels for out-of- town projects, but this client will be in town and they have a truck. For most local installations, I build the units on-site.

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If you want some definitive proof that ABC destroyed the audio in Biden's interview, here you are. Left: original audio Right: denoised audio Bidens mic was EQ'd to pick up as much low end and high end ambient noise as possible, which is why his voice sounds so much more distorted than Stephanopoulos. Even with noise removal, the audio was beyond salvaging. You can listen for yourself. Biden team, if you're listening, never do another network interview/speech unless your own audio engineers get to set up the equipment.

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Andy Dunn (Andy Dunn) says he wants his company Pie to "be the operating system by which you get off your phone and back into real life." "It's an app and an AI agent to build infrastructure for your whole social life." "The primary product is an app that has events that we think you might want to go to, communities that you might want to belong to, and people we think you'd want to meet. And that's how it gets going." "Sometimes, [even] if you have a lot of friends, and you have a good social life, what sucks is it's hard to find time to see them. It's hard to get out of this rat race to actually prioritize seeing the people you care about." "So that's why we just launched an AI agent called Pienelope. Her job is in iMessage as well as — soon, in the app — to help be a 'social life instigator' and 'chaos coordinator' to get you together with the people that you should be spending more time with."

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How I get shit done, Episode 001 I've set up a playbook called ‘land’, which is triggered automatically when I drag an issue into the merging column in Linear. That reliably runs CI and merges any green PRs. This has allowed me to ship way faster than before. I think the key takeaway here is you can try to build your own code factory and your own agent orchestration layer, but it is a huge amount of work. The truth is there are entire companies with massive funding that are already tackling this and it's just easier to use their platform. I think this is a lot like if you were a carpenter: you could build your own generator, fuel it, wire it up, and then build a plug and then you could plug your saw into it. Or you could just plug your saw into the wall. Because the electricity company has already done all the work in the infrastructure and investment to make that plug work. I think more of us who are building companies should just be plugging into the wall instead of trying to build all this tooling ourselves. As a dev it's so tempting to build your own dev tools but I think a lot of times, even though you can build fast with agents now, it's a complete waste of time. It probably sounds like I'm being paid by Devin or something but I have zero financial interest here. They don't give me credits. I'm not an investor. I'm not being paid. I just think the tooling is really damn good. If you used Devin a long time ago and wrote it off, you really should have another look - for $500/month it's pretty obscene what you can get done.

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Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

Dylan Patel of SemiAnalysis says speed is the moat in AI inference, and getting there runs through new compute (Groq/Cerebras), KV-cache offload, and networking optimization (Aria). "Most of the infrastructure is pretty optimized for high throughput, I would say, but more and more people want to pay for speed. It turns out agents are very sequential, task-oriented, and models running in sequential tasks." "Trying something, verifying it, checking if it's right, and you do that in a loop. It ends up being very slow." "And speed is the moat. The faster you go, speed is the moat." "So a lot of the workloads and high-end use cases that people are developing now are all focused on high interactivity, and the infrastructure there is quite different." "So let's break that down into a few components." "One is you can do new compute: you can do Groq or Cerebras-style compute, which is very much focused on high interactivity." "But even with existing GPUs you can do a few things. One, if you're focused heavily on time to first token, you might offload KV cache to storage, keep it cached, move it back into the compute whenever you need it, much faster than recomputing." "And the third thing you can do is you have to optimize the network."

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"How will they accomplish the 15-minute smart city plan?" "The first step is digital ID, centralising all your personal data into one system that the state can switch off if you're deemed to be a bad citizen." "Then comes carbon tracking, which is linked to your food, travel and basically everything that you buy." "Next is CBDCs... which give total control to the state over every purchase that you make." "This will all be justified under the banner of climate action and pandemic prevention, or whatever new crisis they create, leading to their end goal which is to imprison humanity within digital control zones disguised as 15-minute smart cities." "And as scary as all that is, there is some good news. Their system only works if we depend on it. Take away that dependence and it all falls apart." "So get out of the cities; get back to the land; create water, energy and food security; build small, decentralised, knowledgeable communities; and basically build the kind of life that just makes their plan irrelevant."

"How will they accomplish the 15-minute smart city plan?" "The first step is digital ID, centralising all your personal data into one system that the state can switch off if you're deemed to be a bad citizen." "Then comes carbon tracking, which is linked to your food, travel and basically everything that you buy." "Next is CBDCs... which give total control to the state over every purchase that you make." "This will all be justified under the banner of climate action and pandemic prevention, or whatever new crisis they create, leading to their end goal which is to imprison humanity within digital control zones disguised as 15-minute smart cities." "And as scary as all that is, there is some good news. Their system only works if we depend on it. Take away that dependence and it all falls apart." "So get out of the cities; get back to the land; create water, energy and food security; build small, decentralised, knowledgeable communities; and basically build the kind of life that just makes their plan irrelevant."

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When do the Clintons get arrested “USAID gave Chelsea Clinton $82 million through the Clinton Global Initiative. $82 million dollars — It's documented. We have receipts” - $11 million went to pay for a mansion - $3 million went to her wedding - $83 million was given total - Not a dime of income tax was paid on any of it “All of it is theft. So let me ask you something. If you or I skipped out on paying taxes, what would happen? The IRS would be at our door tomorrow. They'd freeze your account, they'd garnish your paycheck, they'd throw your ass in jail. But if your last name is Clinton, well, you get a pass, right? And you get a check from the government, a fat one. You get a wedding on the house. You get a mansion all paid in full and you walk away smiling. That's the system. It's not broken, it's rigged.”

Wall Street Apes

804,440 Aufrufe • vor 10 Monaten

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Valerie Anne Smith

49,276 Aufrufe • vor 1 Jahr

If you don't know what a RAG system is, you're already behind. Plenty of people are still typing questions into ChatGPT and pasting answers back out. That's the beginner level. You're renting a smart stranger who forgets you the second you close the tab and makes things up, because it has never seen your actual work. A RAG system is a completely different level of using AI. You build an AI plugged into your own world. Your files, company's docs, notes. It's not pulling from the internet, it only knows what you fed it. Ask it anything and it digs through your data, finds the answer, and shows you which document it came from. That's the gap. One person is asking a chatbot for generic answers. The other has built a private expert that knows their business cold and answers with receipts. And that gap is worth real money: > At work, the person who can wire a company's knowledge into an AI that actually answers correctly is rare and paid like it. > As a business, companies pay serious money for a system that reads their internal docs and answers staff and customers accurately. You build it once, you sell it. > For yourself, you get a second brain that actually remembers. Same skill behind all three, and it's still rare enough to be worth learning. Full breakdown in the article below.

If you don't know what a RAG system is, you're already behind. Plenty of people are still typing questions into ChatGPT and pasting answers back out. That's the beginner level. You're renting a smart stranger who forgets you the second you close the tab and makes things up, because it has never seen your actual work. A RAG system is a completely different level of using AI. You build an AI plugged into your own world. Your files, company's docs, notes. It's not pulling from the internet, it only knows what you fed it. Ask it anything and it digs through your data, finds the answer, and shows you which document it came from. That's the gap. One person is asking a chatbot for generic answers. The other has built a private expert that knows their business cold and answers with receipts. And that gap is worth real money: > At work, the person who can wire a company's knowledge into an AI that actually answers correctly is rare and paid like it. > As a business, companies pay serious money for a system that reads their internal docs and answers staff and customers accurately. You build it once, you sell it. > For yourself, you get a second brain that actually remembers. Same skill behind all three, and it's still rare enough to be worth learning. Full breakdown in the article below.

Yarchi

32,840 Aufrufe • vor 29 Tagen

🧵Nurse Erin worked in NYC at the hardest hit COVID hospital in America. She witnessed a horrifying number of needless deaths and exposed why so many people actually died. This secret recording shows how doctors would not treat patients they knew would die with anything except the standard protocols (which had a 90% fatality rate), even when she begged them to use the off-patent therapies which were saving lives around the world. This demonstrates the perverse incentives in medicine. If you do what you are supposed to, you get paid generously and never have to worry about getting in trouble, even if you kill all of your patients. In contrast, if you do the right thing and fight for your patients (saving their lives), the medical profession and the legal system will target you, even if you're the only one saving lives. Many stories like Erin's happened throughout the pandemic, but her recordings provide the critical proof of what actually happened throughout the pandemic.

🧵Nurse Erin worked in NYC at the hardest hit COVID hospital in America. She witnessed a horrifying number of needless deaths and exposed why so many people actually died. This secret recording shows how doctors would not treat patients they knew would die with anything except the standard protocols (which had a 90% fatality rate), even when she begged them to use the off-patent therapies which were saving lives around the world. This demonstrates the perverse incentives in medicine. If you do what you are supposed to, you get paid generously and never have to worry about getting in trouble, even if you kill all of your patients. In contrast, if you do the right thing and fight for your patients (saving their lives), the medical profession and the legal system will target you, even if you're the only one saving lives. Many stories like Erin's happened throughout the pandemic, but her recordings provide the critical proof of what actually happened throughout the pandemic.

A Midwestern Doctor

996,352 Aufrufe • vor 1 Jahr