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STARLINK CHARGES $120/MO TO GET ONLINE OFF-GRID. HE DOES IT FOR $0 - A $30 PANEL ANTENNA ON A MAST REACHING A USED GPU 80KM OUT. RUNS OPUS-5 AND GPT-5.6 LOCALLY he clamped a directional panel and a tp-link adapter to a telescoping mast and ran it up past...

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starmex

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141,937 просмотров • 6 дней назад •via X (Twitter)

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AS SOMEONE WHO TESTED THIS $30 SOLAR MESHTASTIC RIG FROM HIS ROOFTOP ACROSS 71 NEIGHBORING NODES, IT KILLED HIS $200 CHATGPT PRO AND $200 CLAUDE CODE MAX three months ago he bolted a rak 4630 lora board with a 6-watt solar panel to a rooftop mount, whole rig cost him $30 in used marketplace parts solar charges under complete cloud cover -> pi zero 2w runs quantized qwen 2.5 7b on ollama -> mesh services 71 neighboring nodes -> phone tunnels ai prompts through the mesh -> answers land locally with zero cell tower the panel keeps the battery full even through a full day of cloud cover, mesh handshakes with 71 neighboring nodes automatically, every prompt over the rf link answers back in under 3 seconds without cellular $200 claude code max and $200 chatgpt pro cancelled the day the solar started charging in cloud cover, a $30 rooftop rig handles what those subs charged $400 for bookmark this and read the article below
1:57

AS SOMEONE WHO TESTED THIS $30 SOLAR MESHTASTIC RIG FROM HIS ROOFTOP ACROSS 71 NEIGHBORING NODES, IT KILLED HIS $200 CHATGPT PRO AND $200 CLAUDE CODE MAX three months ago he bolted a rak 4630 lora board with a 6-watt solar panel to a rooftop mount, whole rig cost him $30 in used marketplace parts solar charges under complete cloud cover -> pi zero 2w runs quantized qwen 2.5 7b on ollama -> mesh services 71 neighboring nodes -> phone tunnels ai prompts through the mesh -> answers land locally with zero cell tower the panel keeps the battery full even through a full day of cloud cover, mesh handshakes with 71 neighboring nodes automatically, every prompt over the rf link answers back in under 3 seconds without cellular $200 claude code max and $200 chatgpt pro cancelled the day the solar started charging in cloud cover, a $30 rooftop rig handles what those subs charged $400 for bookmark this and read the article below

starmex

49,750 просмотров • 9 дней назад

THIS SOLAR-POWERED MESH NODE PACKS A LOCAL LLM AND A 6-WATT PANEL, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT LIVE AND RUNS AT $0/MO EVEN UNDER CLOUD COVER 00:22 he taps the case with the red led blinking, "even though we have complete cloud cover today, the sun's not even out and we're still getting a charge, that's absolutely phenomenal" the node runs a rak 4630 lora board with a 6-watt solar panel, a small battery bank inside the ip67 case, and a raspberry pi zero 2w wedged next to it running a quantized 3b model on ollama from the rooftop it services 71 other meshtastic nodes across the neighborhood offline, and the same box also handles ai queries piped in over the mesh from his phone without touching the internet claude code points at the pi over tailscale, the cli behaves identically to the cloud version except every token generates on his own rooftop under the panel that keeps charging through cloud cover $200 chatgpt pro and $200 claude code max used to hit his card monthly, and the whole stack died the day the rooftop went live because ai queries now travel over lora mesh and generate on his own hardware for free bookmark this and read the article below
1:56

THIS SOLAR-POWERED MESH NODE PACKS A LOCAL LLM AND A 6-WATT PANEL, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT LIVE AND RUNS AT $0/MO EVEN UNDER CLOUD COVER 00:22 he taps the case with the red led blinking, "even though we have complete cloud cover today, the sun's not even out and we're still getting a charge, that's absolutely phenomenal" the node runs a rak 4630 lora board with a 6-watt solar panel, a small battery bank inside the ip67 case, and a raspberry pi zero 2w wedged next to it running a quantized 3b model on ollama from the rooftop it services 71 other meshtastic nodes across the neighborhood offline, and the same box also handles ai queries piped in over the mesh from his phone without touching the internet claude code points at the pi over tailscale, the cli behaves identically to the cloud version except every token generates on his own rooftop under the panel that keeps charging through cloud cover $200 chatgpt pro and $200 claude code max used to hit his card monthly, and the whole stack died the day the rooftop went live because ai queries now travel over lora mesh and generate on his own hardware for free bookmark this and read the article below

starmex

50,557 просмотров • 1 месяц назад

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.
0:42

This guy runs an Nvidia Spark from his desk and pulls in $8,000 a month The device is the size of a small speaker and sits right on his desk. Inside is a full Nvidia GPU running AI workloads 24/7. He rents out the compute power to companies that need local AI processing. They pay him a flat monthly fee to use it remotely. $8,000 lands in his account every single month. He just plugged it in and that was it. The $4,000 box paid for itself in two weeks. Now it prints $96,000 a year from a device smaller than a coffee machine. Companies are desperate for local compute and regular people are quietly supplying it. Save this before everyone figures out what he already knows.

winkle.

57,919 просмотров • 2 месяцев назад

A guy got tired of renting intelligence from the cloud, so he put a 120-billion-parameter model in his closet for $0 a month. One mini PC. The Minisforum MS-S1 MAX. 128GB of unified memory, and a trick that hands 96GB of it straight to the GPU. Here's how it breaks: That 96GB is the whole game. Enough to run GPT-OSS-120B fully local, and still keep the agent and dashboard on the same box. 120 billion parameters. 56.6 tokens a second. A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local. Then Hermes Agent goes on top, pointed at localhost. No API key, because there's nothing to phone home to. It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network. The cloud version cost $10 to $20 a day, keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month. The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill he paid every morning and became a machine he owns, humming in a closet, working for free.
0:39

A guy got tired of renting intelligence from the cloud, so he put a 120-billion-parameter model in his closet for $0 a month. One mini PC. The Minisforum MS-S1 MAX. 128GB of unified memory, and a trick that hands 96GB of it straight to the GPU. Here's how it breaks: That 96GB is the whole game. Enough to run GPT-OSS-120B fully local, and still keep the agent and dashboard on the same box. 120 billion parameters. 56.6 tokens a second. A 5,000-word essay in one pass at 110W and 68°C. Quiet. Cool. Local. Then Hermes Agent goes on top, pointed at localhost. No API key, because there's nothing to phone home to. It drafts, researches, runs tool calls, manages sub-agents. None of it leaves the network. The cloud version cost $10 to $20 a day, keys and customer data routed through machines he didn't own. Now it's a box in a closet. $0 a month. The chip is real. The build is brilliant. And somewhere in the first few minutes, the AI stopped being a bill he paid every morning and became a machine he owns, humming in a closet, working for free.

shmidt

245,607 просмотров • 1 месяц назад

THIS 1-WATT RASPBERRY PI ON A MOUNTAIN TOP PIPES AI QUERIES OVER A PRIVATE MESH TO A LOCAL LLM AT HOME, KILLED $200 CHATGPT PRO AND $200 CLAUDE CODE MAX SUBSCRIPTIONS THE DAY IT WENT LIVE 01:25 he picks up the handheld and says, "this node is tough as nails and the battery life is around 10 days" the mountain pi sits a few kilometers from his apartment with a 915 mhz antenna tuned for long range, meshtastic firmware handles the packet routing between nodes on the mesh wireguard stitches the mountain pi to his home rig running qwen 3.6 27b on a used rtx 3090, ai prompts travel over the private mesh and answers come back the same way without ever touching the public internet the ollama stack handles his coding, writing and research from any point on the network, no cloud api reads his prompts and no rate limit hits on a friday launch because nothing runs on someone else's servers $200 chatgpt pro and $200 claude code max used to cover the queries he now sends over his own antennas, the whole subscription stack died the day the pi went live because the local rig handles what those apis used to charge for bookmark this and read the article below
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THIS 1-WATT RASPBERRY PI ON A MOUNTAIN TOP PIPES AI QUERIES OVER A PRIVATE MESH TO A LOCAL LLM AT HOME, KILLED $200 CHATGPT PRO AND $200 CLAUDE CODE MAX SUBSCRIPTIONS THE DAY IT WENT LIVE 01:25 he picks up the handheld and says, "this node is tough as nails and the battery life is around 10 days" the mountain pi sits a few kilometers from his apartment with a 915 mhz antenna tuned for long range, meshtastic firmware handles the packet routing between nodes on the mesh wireguard stitches the mountain pi to his home rig running qwen 3.6 27b on a used rtx 3090, ai prompts travel over the private mesh and answers come back the same way without ever touching the public internet the ollama stack handles his coding, writing and research from any point on the network, no cloud api reads his prompts and no rate limit hits on a friday launch because nothing runs on someone else's servers $200 chatgpt pro and $200 claude code max used to cover the queries he now sends over his own antennas, the whole subscription stack died the day the pi went live because the local rig handles what those apis used to charge for bookmark this and read the article below

starmex

38,666 просмотров • 1 месяц назад

THE NEXT WAVE OF LOCAL AI BUILDERS SHIPS PORTABLE STACKS WITH HANDHELD $40 SDR SCANNERS, LOCAL LLMs ONLY WORK OFF-GRID WHEN SOMETHING ELSE IS LISTENING TO THE AIR 00:30 he opens the case and points at each component, "really it's a pi sugar power pack mounted to a raspberry pi zero 2w and a little adafruit bonnet" the scanner adds a noelec sdr dongle and a 2m antenna, boots up as a spectrum analyzer he takes to the park with his kid to identify local radio transmissions the same maker keeps a $600 mini pc running qwen 3.6 27b on his desk with claude code pointed at localhost, the offline ai handles his coding, writing and research without a single cloud api call the sdr scanner completes the sovereignty stack, the mini pc thinks locally while the scanner listens locally, and neither needs the internet for the parts of his work that used to require it builders who moved off cloud ai are now moving off cloud everything, the pattern isn't just $459 in subscriptions dead but a full stack that survives when the cloud goes down bookmark this and read the article below
3:58

THE NEXT WAVE OF LOCAL AI BUILDERS SHIPS PORTABLE STACKS WITH HANDHELD $40 SDR SCANNERS, LOCAL LLMs ONLY WORK OFF-GRID WHEN SOMETHING ELSE IS LISTENING TO THE AIR 00:30 he opens the case and points at each component, "really it's a pi sugar power pack mounted to a raspberry pi zero 2w and a little adafruit bonnet" the scanner adds a noelec sdr dongle and a 2m antenna, boots up as a spectrum analyzer he takes to the park with his kid to identify local radio transmissions the same maker keeps a $600 mini pc running qwen 3.6 27b on his desk with claude code pointed at localhost, the offline ai handles his coding, writing and research without a single cloud api call the sdr scanner completes the sovereignty stack, the mini pc thinks locally while the scanner listens locally, and neither needs the internet for the parts of his work that used to require it builders who moved off cloud ai are now moving off cloud everything, the pattern isn't just $459 in subscriptions dead but a full stack that survives when the cloud goes down bookmark this and read the article below

starmex

40,403 просмотров • 1 месяц назад

A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.
0:33

A guy put an XFRA box outside his house and now gets paid $2,500 a month for doing nothing The box is about the size of an AC unit and mounts right on the wall. Inside it connects your home to a distributed AI compute network. Companies pay to run their AI workloads through it around the clock. He just plugged it in and that was it. Now $2,500 lands in his account every single month. That is $30,000 a year from a box he never touches. It is not Nvidia. It is not a government program. It is XFRA and regular homes are quietly becoming AI infrastructure. Every house a node. Every node earning. The people who move first lock in the best rates. Save this before your neighborhood figures it out before you.

winkle.

16,774 просмотров • 2 месяцев назад

running a 405-billion-parameter model used to mean a $30,000 GPU rack. one developer made it run on a single 8GB card the kind that's been sitting in gaming laptops for years. it's called AirLLM, and the trick is almost stupidly simple: instead of loading the whole model, it keeps one layer on the GPU at a time and streams the rest through. / Llama 3.1 405B on 8GB / DeepSeek-V3, all 671B of it, on about 12GB / no quantization, no distillation, no pruning the full-precision model / works with Llama, Qwen, DeepSeek, Mistral, Gemma, and more it's Apache 2.0 and already past 22,600 stars. → bookmark it.
0:21

running a 405-billion-parameter model used to mean a $30,000 GPU rack. one developer made it run on a single 8GB card the kind that's been sitting in gaming laptops for years. it's called AirLLM, and the trick is almost stupidly simple: instead of loading the whole model, it keeps one layer on the GPU at a time and streams the rest through. / Llama 3.1 405B on 8GB / DeepSeek-V3, all 671B of it, on about 12GB / no quantization, no distillation, no pruning the full-precision model / works with Llama, Qwen, DeepSeek, Mistral, Gemma, and more it's Apache 2.0 and already past 22,600 stars. → bookmark it.

dunik

148,663 просмотров • 22 дней назад

This man bought a lottery ticket on his way out of the grocery store, as he scratched it off he couldn’t believe his luck he just won $300. The ticket was a $30 ticket and he made all of his money back. He walked over to customer service who took the ticket and claimed he scanned it and put a post it on the ticket and put it in the drawer. He then tries to hand the man $5 as the prize and claims that’s what the ticket says he won. The man know you can’t win $5 on a $30 high prize ticket. He asks the man to scan it again and he refuses and claims $5 is what it shows. The man escalates it further and asks for a manager. The customer service rep finally scans it again and it showed $300 and the man finally gets his money he won. Do you really believe the ticket scanned as a $5 winner or was the customer service rep trying to finesse him out of his money?
2:28

This man bought a lottery ticket on his way out of the grocery store, as he scratched it off he couldn’t believe his luck he just won $300. The ticket was a $30 ticket and he made all of his money back. He walked over to customer service who took the ticket and claimed he scanned it and put a post it on the ticket and put it in the drawer. He then tries to hand the man $5 as the prize and claims that’s what the ticket says he won. The man know you can’t win $5 on a $30 high prize ticket. He asks the man to scan it again and he refuses and claims $5 is what it shows. The man escalates it further and asks for a manager. The customer service rep finally scans it again and it showed $300 and the man finally gets his money he won. Do you really believe the ticket scanned as a $5 winner or was the customer service rep trying to finesse him out of his money?

SonnyBoy🇺🇸

6,191,873 просмотров • 3 месяцев назад

Gavin Baker: "which AI company actually survives? Google - already multi-trillion Microsoft, OpenAI, Meta chose open source - the only ones left is xAI and Anthropic - xAI + X will be worth over a trillion" this is him explaining what he actually invests in - and why Taiwan sells sand to Nvidia for $700 that Nvidia sells for $50,000 His words: what to invest in: "we're investing in things that increase the GPU utilization rate - because if you take a GPU from 30% utilized to 60%, you've doubled the output of that AI factory" what not to Invest in: "the models will basically go to zero - the data center is a commodity - energy might be short for a while but is also a commodity - the only thing in the whole stack with real value is the data moat and reinforcement learning" "the GPU has gotten 50 times faster in the last four years - that's a big part of why we're living through this AI revolution" he doesn't rent intelligence - he owns the thing it runs on bookmark & watch - see how below with local agent ↓
13:10

Gavin Baker: "which AI company actually survives? Google - already multi-trillion Microsoft, OpenAI, Meta chose open source - the only ones left is xAI and Anthropic - xAI + X will be worth over a trillion" this is him explaining what he actually invests in - and why Taiwan sells sand to Nvidia for $700 that Nvidia sells for $50,000 His words: what to invest in: "we're investing in things that increase the GPU utilization rate - because if you take a GPU from 30% utilized to 60%, you've doubled the output of that AI factory" what not to Invest in: "the models will basically go to zero - the data center is a commodity - energy might be short for a while but is also a commodity - the only thing in the whole stack with real value is the data moat and reinforcement learning" "the GPU has gotten 50 times faster in the last four years - that's a big part of why we're living through this AI revolution" he doesn't rent intelligence - he owns the thing it runs on bookmark & watch - see how below with local agent ↓

bodila

310,401 просмотров • 9 дней назад

AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does
1:00

AMD on local AI: "this is the smallest AI development system in the world, capable of running models up to 200 billion parameters locally, not connected to anything" 128GB of unified memory shared by CPU, GPU, and NPU fits in your hand. Runs a model larger than GPT-3 with no internet $3,999 once. roughly $16 a month in power Cloud equivalent: up to $750 a month The question was never whether local AI could compete on power It was whether it could compete on price. Now it does

plutos

151,966 просмотров • 1 месяц назад

THIS CHINESE DEVELOPER TOLD A TINY AI DEVICE "I NEED A CAR CONTROL PROGRAM" - AND IT WROTE THE CODE, FLASHED THE HARDWARE AND LIT UP THE LEDS IN ONE SHOT small white screen showing "listening..." - he speaks the command out loud - the device hears it, writes the firmware, flashes the Raspberry Pi Pico and the red LEDs fire up in sequence no keyboard, no IDE, no Stack Overflow - just talking to a device that understands what he wants and builds it the breadboard on the desk is the hardware - the tiny screen in his hand is the AI that programs it - voice in, working electronics out he vibe coded the entire control system by describing it - the AI handled every line of MicroPython, every GPIO pin assignment and every LED pattern what used to require an electronics degree and a week of debugging now takes one sentence spoken out loud the people still manually writing firmware are one voice command behind
1:36

THIS CHINESE DEVELOPER TOLD A TINY AI DEVICE "I NEED A CAR CONTROL PROGRAM" - AND IT WROTE THE CODE, FLASHED THE HARDWARE AND LIT UP THE LEDS IN ONE SHOT small white screen showing "listening..." - he speaks the command out loud - the device hears it, writes the firmware, flashes the Raspberry Pi Pico and the red LEDs fire up in sequence no keyboard, no IDE, no Stack Overflow - just talking to a device that understands what he wants and builds it the breadboard on the desk is the hardware - the tiny screen in his hand is the AI that programs it - voice in, working electronics out he vibe coded the entire control system by describing it - the AI handled every line of MicroPython, every GPIO pin assignment and every LED pattern what used to require an electronics degree and a week of debugging now takes one sentence spoken out loud the people still manually writing firmware are one voice command behind

Cortex

11,462 просмотров • 1 месяц назад

Boris Cherny, creator of Claude Code: "Opus 5 does in a day what used to take your team a month. Most people will keep using it wrong." In 12 minutes he explains why Opus 5 needs less prompting than any model before, and why your old detailed prompts now work against you. Watch it, then read the article below on how to prompt Opus 5 👇
10:59

Boris Cherny, creator of Claude Code: "Opus 5 does in a day what used to take your team a month. Most people will keep using it wrong." In 12 minutes he explains why Opus 5 needs less prompting than any model before, and why your old detailed prompts now work against you. Watch it, then read the article below on how to prompt Opus 5 👇

Rahul

302,829 просмотров • 10 дней назад

THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below
1:03

THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below

starmex

25,094 просмотров • 1 месяц назад

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.
0:33

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.

Blaze

89,297 просмотров • 1 месяц назад

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs
2:54

THIS AI DEVELOPER RUNS 120B PARAMETER MODELS LOCALLY AND HIS MACBOOK PRO CAN’T EVEN OPEN THEM he bought a DGX Spark, gave it the model, went back to his desk by end of day the inference was done, tested, committed his team is still waiting for the cloud GPU queue to free up the only thing between them is 128GB of unified memory in a box smaller than your lunch one Spark is a datacenter node, two Sparks is your own cluster bookmark this and send it to whoever is still paying for cloud GPUs

leopardracer

85,726 просмотров • 2 месяцев назад

THIS CHINESE BUILDER TURNED 8 RETIRED TESLA P40s INTO A 192GB PRIVATE AI SERVER THAT CAN WORK 5,760 GPU-HOURS EVERY MONTH. 00:06 he holds up one used Tesla P40 while seven more sit behind it, then installs the full stack inside a massive dual-Xeon server chassis. each card carries 24GB of VRAM, giving the system 192GB across eight GPUs for local models, video processing, transcription, private documents and AI agents. the real advantage is parallel work. some cards can serve a local model while the rest generate images, process files and run overnight automation at the same time. eight GPUs running continuously deliver 5,760 GPU-hours every 30 days. rent that workload from the cloud and the meter keeps moving for every minute the server stays online. a $412 monthly AI stack already costs $4,944 a year before serious GPU rental. he bought retired hardware once, kept the data local and built a machine that keeps working after the browser closes.
0:55

THIS CHINESE BUILDER TURNED 8 RETIRED TESLA P40s INTO A 192GB PRIVATE AI SERVER THAT CAN WORK 5,760 GPU-HOURS EVERY MONTH. 00:06 he holds up one used Tesla P40 while seven more sit behind it, then installs the full stack inside a massive dual-Xeon server chassis. each card carries 24GB of VRAM, giving the system 192GB across eight GPUs for local models, video processing, transcription, private documents and AI agents. the real advantage is parallel work. some cards can serve a local model while the rest generate images, process files and run overnight automation at the same time. eight GPUs running continuously deliver 5,760 GPU-hours every 30 days. rent that workload from the cloud and the meter keeps moving for every minute the server stays online. a $412 monthly AI stack already costs $4,944 a year before serious GPU rental. he bought retired hardware once, kept the data local and built a machine that keeps working after the browser closes.

Gipp 🦅

42,332 просмотров • 1 месяц назад

$0.05 PER KWH IN PARAGUAY VS $0.15 IN THE US, A 5,000 GPU FARM NEAR ASUNCION CLEARS $4.7M/MO ON VAST AI WHILE US OPERATORS NET $1.8M ON THE SAME RACK the warehouse in the clip is somewhere outside asuncion, multi story racks running floor to ceiling, the operator built it next to a hydroelectric dam where electricity costs 5 cents per kilowatt hour a US warehouse running the same 5,000 GPU rack burns through $1.6M a month in electricity at $0.15/kWh, the same rack in paraguay burns $530K, the gap is $1M of pure margin every 30 days the racks host RTX 4090s, A100s and H100s on vast ai and clore ai, indie AI startups and image generation services rent them by the hour because aws is rationing GPU access to fortune 500 a 4090 nets the US operator $500 to $1,000 a month, the paraguay operator clears $850 to $1,400 on the same card because power eats half what it does north of the equator bitfarms, riot and core scientific have all expanded into paraguay since 2024, the next 10,000 GPU AI farm coming online in 2026 is more likely to sit near a paraguayan dam than in texas bookmark this and read the article below
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$0.05 PER KWH IN PARAGUAY VS $0.15 IN THE US, A 5,000 GPU FARM NEAR ASUNCION CLEARS $4.7M/MO ON VAST AI WHILE US OPERATORS NET $1.8M ON THE SAME RACK the warehouse in the clip is somewhere outside asuncion, multi story racks running floor to ceiling, the operator built it next to a hydroelectric dam where electricity costs 5 cents per kilowatt hour a US warehouse running the same 5,000 GPU rack burns through $1.6M a month in electricity at $0.15/kWh, the same rack in paraguay burns $530K, the gap is $1M of pure margin every 30 days the racks host RTX 4090s, A100s and H100s on vast ai and clore ai, indie AI startups and image generation services rent them by the hour because aws is rationing GPU access to fortune 500 a 4090 nets the US operator $500 to $1,000 a month, the paraguay operator clears $850 to $1,400 on the same card because power eats half what it does north of the equator bitfarms, riot and core scientific have all expanded into paraguay since 2024, the next 10,000 GPU AI farm coming online in 2026 is more likely to sit near a paraguayan dam than in texas bookmark this and read the article below

starmex

27,045 просмотров • 1 месяц назад

I applied Matt's prompt, ran it for a little over ten hours. About 1.3 million tokens on Opus 5. It created the game. I also made a video of it using Opus 5. Here's the video (and in my reply to this is a link to the actual game so you can play).
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I applied Matt's prompt, ran it for a little over ten hours. About 1.3 million tokens on Opus 5. It created the game. I also made a video of it using Opus 5. Here's the video (and in my reply to this is a link to the actual game so you can play).

James Altucher

128,044 просмотров • 11 дней назад

Recently, Morphware’s Head of Infrastructure and Development Asim, made a visit to the Boston Limited warehouse to get his hands on the NVIDIA 8 x H200 GPU server rack before shipping it to our UK Node. It has arrived and we have officially started getting the GPU’s online! $XMW $NVDA #AI #Compute
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Recently, Morphware’s Head of Infrastructure and Development Asim, made a visit to the Boston Limited warehouse to get his hands on the NVIDIA 8 x H200 GPU server rack before shipping it to our UK Node. It has arrived and we have officially started getting the GPU’s online! $XMW $NVDA #AI #Compute

Morphware

65,306 просмотров • 1 год назад