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$140,000,000 power bank giant CUKTECH just unlocked a fully mobile battery-powered Mac mini setup Tech creators are using high-output CUKTECH 25000mAh power banks paired with custom USB-C to AC converters to run desktop M-series Apple silicon off the grid. The setup delivers continuous 140W PD output to drive a... show more

Rich Odin

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17,172 görüntüleme • 15 gün önce •via X (Twitter)

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A Mac Mini M4 ran 3 hours 50 minutes on a pocket power bank. It idles at 1.5 watts. Light work pulls 3 to 5 watts. The same machine that once needed a wall outlet now sits on a desk as a full home server, drawing less power than a night light. An iPad becomes the wireless display. Touch works. Apple Pencil works. Then the Vision Pro takes over for a bigger screen. The tiny bank never dropped below critical. No wall plug. No UPS. Just the Mac Mini doing real work for almost 4 hours. That efficiency is why the M4 Mini is the new default for always-on home servers. Quiet. Tiny. Cheap to keep alive. The power bank still had charge left.

A Mac Mini M4 ran 3 hours 50 minutes on a pocket power bank. It idles at 1.5 watts. Light work pulls 3 to 5 watts. The same machine that once needed a wall outlet now sits on a desk as a full home server, drawing less power than a night light. An iPad becomes the wireless display. Touch works. Apple Pencil works. Then the Vision Pro takes over for a bigger screen. The tiny bank never dropped below critical. No wall plug. No UPS. Just the Mac Mini doing real work for almost 4 hours. That efficiency is why the M4 Mini is the new default for always-on home servers. Quiet. Tiny. Cheap to keep alive. The power bank still had charge left.

HodlReaper

12,887 görüntüleme • 15 gün önce

Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.

Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.

Lummox

262,119 görüntüleme • 1 ay önce

APPLE IS LYING TO YOU ABOUT THE MAC MINI, AND THIS SUB-$100 FIX PERMANENTLY UNLOCKS ITS TRUE POWER The Mac Mini is an absolute beast until you run out of ports in exactly 5 seconds and your system begins throttling to death under heavy video editing or gaming. Most users waste hundreds on messy dongles and external hubs, completely destroying their desk aesthetics. The ultimate power move is dropping a vertical, active-cooling dock right into your workstation ecosystem. Why this layout changes everything: The Thermal Shield: Integrated aluminum pads and a silent high-speed fan that completely eliminate system lag, heat build-up, and sudden freezing under load. Extreme Expansion: Instantly unlocks triple-monitor support via multiple HDMI ports, high-speed USB arrays, and a hidden SSD slot. Modular Integration: Bridges directly into the Mac's native ports using a flush, custom jump connector, keeping your desktop entirely cord-free. Stop letting Apple gatekeep your machine's peak performance.

APPLE IS LYING TO YOU ABOUT THE MAC MINI, AND THIS SUB-$100 FIX PERMANENTLY UNLOCKS ITS TRUE POWER The Mac Mini is an absolute beast until you run out of ports in exactly 5 seconds and your system begins throttling to death under heavy video editing or gaming. Most users waste hundreds on messy dongles and external hubs, completely destroying their desk aesthetics. The ultimate power move is dropping a vertical, active-cooling dock right into your workstation ecosystem. Why this layout changes everything: The Thermal Shield: Integrated aluminum pads and a silent high-speed fan that completely eliminate system lag, heat build-up, and sudden freezing under load. Extreme Expansion: Instantly unlocks triple-monitor support via multiple HDMI ports, high-speed USB arrays, and a hidden SSD slot. Modular Integration: Bridges directly into the Mac's native ports using a flush, custom jump connector, keeping your desktop entirely cord-free. Stop letting Apple gatekeep your machine's peak performance.

Ridark

86,314 görüntüleme • 1 ay önce

STOP UPGRADING YOUR MAC MINI, YOU ARE DOING IT WRONG Apple has been robbing us blind on storage upgrades for a decade, forcing people to throw away perfectly good computers. But if you have an M1 or M2 Mac Mini, this one insane vertical dock completely breaks the matrix. Forget ugly dongles and external enclosures dangling off your desk. This heavy-duty aluminum stand by Acasis transforms your base-model Mac Mini into a miniature Mac Pro footprint. Why this is the ultimate workspace hack: Hidden 40Gbps Enclosure: Slides out from the side panel to support up to an 8TB NVMe SSD at full native speed. Front-Facing Pro IO: Packs SD/microSD 4.0, dual 10Gbps USB-A, and a 10Gbps USB-C right where you can reach them. Dual Display Loop: Adds an integrated HDMI output for seamless dual 4K/60Hz monitor setups.

STOP UPGRADING YOUR MAC MINI, YOU ARE DOING IT WRONG Apple has been robbing us blind on storage upgrades for a decade, forcing people to throw away perfectly good computers. But if you have an M1 or M2 Mac Mini, this one insane vertical dock completely breaks the matrix. Forget ugly dongles and external enclosures dangling off your desk. This heavy-duty aluminum stand by Acasis transforms your base-model Mac Mini into a miniature Mac Pro footprint. Why this is the ultimate workspace hack: Hidden 40Gbps Enclosure: Slides out from the side panel to support up to an 8TB NVMe SSD at full native speed. Front-Facing Pro IO: Packs SD/microSD 4.0, dual 10Gbps USB-A, and a 10Gbps USB-C right where you can reach them. Dual Display Loop: Adds an integrated HDMI output for seamless dual 4K/60Hz monitor setups.

Shadow Nick

15,047 görüntüleme • 1 ay önce

THIS GUY POWERED A $599 MAC MINI WITH A LAWN MOWER BATTERY AND TURNED HIS TESLA MODEL Y INTO A MOBILE AI OFFICE 00:44 he plugs the mac mini into a green EGO battery through a portable inverter, giving the entire setup its own power source instead of pulling everything from the car. the weird battery is the smartest part. it is normally used for lawn mowers and workshop tools, but here it runs the computer, cables and portable display while the tesla handles the internet connection and cabin. open obsidian, claude code and 4 small agents, and the car becomes a private work pod that can sort 140 links, summarize a 55 minute call and prepare project notes before the next charging stop. the extra setup costs roughly $250 to $350 depending on the battery size. add the inverter, tray, display and cables, and the complete mobile desk lands near $950 before counting the tesla. a larger 56v battery could keep the mac mini running for around 3 to 5 hours during research and writing, or closer to 2 hours with transcription, local models and multiple agents working together. bookmark this before lawn mower batteries start powering better offices than coworking spaces.

THIS GUY POWERED A $599 MAC MINI WITH A LAWN MOWER BATTERY AND TURNED HIS TESLA MODEL Y INTO A MOBILE AI OFFICE 00:44 he plugs the mac mini into a green EGO battery through a portable inverter, giving the entire setup its own power source instead of pulling everything from the car. the weird battery is the smartest part. it is normally used for lawn mowers and workshop tools, but here it runs the computer, cables and portable display while the tesla handles the internet connection and cabin. open obsidian, claude code and 4 small agents, and the car becomes a private work pod that can sort 140 links, summarize a 55 minute call and prepare project notes before the next charging stop. the extra setup costs roughly $250 to $350 depending on the battery size. add the inverter, tray, display and cables, and the complete mobile desk lands near $950 before counting the tesla. a larger 56v battery could keep the mac mini running for around 3 to 5 hours during research and writing, or closer to 2 hours with transcription, local models and multiple agents working together. bookmark this before lawn mower batteries start powering better offices than coworking spaces.

Gipp 🦅

51,881 görüntüleme • 1 ay önce

A CHINESE BUILDER TURNED A MAC MINI INTO A PORTABLE AI WORKFLOW BOX THAT CAN RUN 18 HOURS OFF A BATTERY 01:14 he connects the power module to the mac mini and the whole setup stops being a desk computer. now the same tiny machine can run from a battery, drive a portable display, hold extra storage and stay online away from a normal desk. that matters because most ai workflows do not need a giant server. they need a quiet machine that can keep 12-20 background jobs alive, watch folders, move files, clean notes, sync research and process inputs without babysitting. paired with claude, this becomes a portable second brain machine. 3 long lectures can turn into notes, 25 saved articles can become summaries, research folders can get organized, and unfinished drafts can keep moving while the owner is away. the edge is not raw power. it is uptime in a tiny form factor. one small box can run 500-800 micro-tasks a month, while the same workflow inside cloud tools can quietly eat $60-150/month across storage, vps and automation apps. that is why this build is interesting. the chinese guy is not showing a random charger trick, he is showing what happens when a small computer gets enough ports, power and automation to behave like a pocket-sized home server. bookmark this before every desk setup gets a battery.

A CHINESE BUILDER TURNED A MAC MINI INTO A PORTABLE AI WORKFLOW BOX THAT CAN RUN 18 HOURS OFF A BATTERY 01:14 he connects the power module to the mac mini and the whole setup stops being a desk computer. now the same tiny machine can run from a battery, drive a portable display, hold extra storage and stay online away from a normal desk. that matters because most ai workflows do not need a giant server. they need a quiet machine that can keep 12-20 background jobs alive, watch folders, move files, clean notes, sync research and process inputs without babysitting. paired with claude, this becomes a portable second brain machine. 3 long lectures can turn into notes, 25 saved articles can become summaries, research folders can get organized, and unfinished drafts can keep moving while the owner is away. the edge is not raw power. it is uptime in a tiny form factor. one small box can run 500-800 micro-tasks a month, while the same workflow inside cloud tools can quietly eat $60-150/month across storage, vps and automation apps. that is why this build is interesting. the chinese guy is not showing a random charger trick, he is showing what happens when a small computer gets enough ports, power and automation to behave like a pocket-sized home server. bookmark this before every desk setup gets a battery.

Gipp 🦅

10,641 görüntüleme • 2 ay önce

APPLE CHARGES $200 TO GO FROM 256GB TO 512GB ON THE MAC MINI. $400 FOR 1TB. $600 FOR 2TB. AND YOU HAVE TO DECIDE BEFORE YOU BUY. Pick wrong and you're stuck forever. Apple soldered the storage shut. That's their entire business model. Sell the box cheap, charge a premium for every upgrade you can't do yourself. One dock just broke the whole system. The Acasis 8-in-1 plugs into the Mac Mini through a single Thunderbolt cable. Slide any NVMe SSD into the top. 2,819 MB/s write, 2,857 MB/s read. Faster than Apple's own base storage. A 2TB NVMe SSD costs about $100 on Amazon. Apple charges $600 for the same upgrade. That's a 6x markup for storage you could add yourself in 10 seconds. But it doesn't stop at storage. SD card reader, DisplayPort, USB ports, power delivery. Every port Apple left out, this dock puts back in. Surface temp under load: 26.7°C. Same aluminum finish. Sits right next to the Mac Mini like Apple designed it. That's when it clicks. The $599 Mac Mini was never the cheap option. It was the entry fee. The real cost was every upgrade Apple locked behind the checkout page. One $150 dock and a $100 SSD just replaced $600 worth of Apple tax. Still think you need the upgraded model?

APPLE CHARGES $200 TO GO FROM 256GB TO 512GB ON THE MAC MINI. $400 FOR 1TB. $600 FOR 2TB. AND YOU HAVE TO DECIDE BEFORE YOU BUY. Pick wrong and you're stuck forever. Apple soldered the storage shut. That's their entire business model. Sell the box cheap, charge a premium for every upgrade you can't do yourself. One dock just broke the whole system. The Acasis 8-in-1 plugs into the Mac Mini through a single Thunderbolt cable. Slide any NVMe SSD into the top. 2,819 MB/s write, 2,857 MB/s read. Faster than Apple's own base storage. A 2TB NVMe SSD costs about $100 on Amazon. Apple charges $600 for the same upgrade. That's a 6x markup for storage you could add yourself in 10 seconds. But it doesn't stop at storage. SD card reader, DisplayPort, USB ports, power delivery. Every port Apple left out, this dock puts back in. Surface temp under load: 26.7°C. Same aluminum finish. Sits right next to the Mac Mini like Apple designed it. That's when it clicks. The $599 Mac Mini was never the cheap option. It was the entry fee. The real cost was every upgrade Apple locked behind the checkout page. One $150 dock and a $100 SSD just replaced $600 worth of Apple tax. Still think you need the upgraded model?

Framez

49,948 görüntüleme • 15 gün önce

Our first customer just sent me this video of the Titan Mini running his washing machine ✅ A few people did not believe it would do this when I said it would, so here is video evidence✅ There's no need to do for a refrigerator as this washing machine is literally heavier than a refrigerator in terms of power draw, it can run this washing machine nonstop for up to 6hrs ⚠️ So there u have it, a much more affordable and portable brand in our Titan series 1.2Kwh Grade-A Lifepo4 battery✅ 1500 watts pure sine wave AC output power✅ 2x USB 3.0 ports & 1 USB type C PD port⚡️ Low battery auto shut down to protect the cells✅ Multifunction Display screen✅ Ergonomic design for easy carriage✅ Can be recharged with 'NEPA', generator or solar panels (panels sold separately) Current price is ₦650,000 Visit or send a WhatsApp msg to 08183093568 #Zedora #madeinNigeria 🇳🇬

Ziko Abara

66,213 görüntüleme • 8 ay önce

$The cheapest way to get internet off grid using a 20V DeWalt battery and an inverter. The setup: DeWalt 20V battery (the 10 amp hour is the big one, more capacity means longer runtime). DeWalt 20V inverter with AC outlet and DC outputs. Around $70. Starlink Mini for the internet connection. Runtime: Roughly 6 hours of continuous standard internet use per battery. If you're only using internet here and there (checking messages, downloading updates, sending status), that's several days of intermittent use per battery. Speed is as good as you need for anything: video calls, streaming, downloads, everything. If you have DeWalt, Milwaukee, Ryobi, or Harbor Freight brand batteries already, they all make inverters like this one. Match the inverter brand to your battery brand for reliability. Spend the little extra on the same brand as your battery. The inverter runs anything with a standard plug (laptops, chargers, small appliances) or USB ports (phones, tablets, portable devices). A few things worth knowing: Lightweight, portable setup. Easy to grab and go. Works in a truck, at a campsite, or during a grid down event. Higher amp hour batteries mean longer runtime. If you're running this often, invest in the largest batteries your ecosystem supports. Starlink Mini uses around 20 to 40 watts depending on load. Much more efficient than earlier Starlink dishes. Real backup communication doesn't have to be expensive. This whole setup costs a fraction of a dedicated portable power station and does everything you need for basic off grid internet.$

The cheapest way to get internet off grid using a 20V DeWalt battery and an inverter. The setup: DeWalt 20V battery (the 10 amp hour is the big one, more capacity means longer runtime). DeWalt 20V inverter with AC outlet and DC outputs. Around $70. Starlink Mini for the internet connection. Runtime: Roughly 6 hours of continuous standard internet use per battery. If you're only using internet here and there (checking messages, downloading updates, sending status), that's several days of intermittent use per battery. Speed is as good as you need for anything: video calls, streaming, downloads, everything. If you have DeWalt, Milwaukee, Ryobi, or Harbor Freight brand batteries already, they all make inverters like this one. Match the inverter brand to your battery brand for reliability. Spend the little extra on the same brand as your battery. The inverter runs anything with a standard plug (laptops, chargers, small appliances) or USB ports (phones, tablets, portable devices). A few things worth knowing: Lightweight, portable setup. Easy to grab and go. Works in a truck, at a campsite, or during a grid down event. Higher amp hour batteries mean longer runtime. If you're running this often, invest in the largest batteries your ecosystem supports. Starlink Mini uses around 20 to 40 watts depending on load. Much more efficient than earlier Starlink dishes. Real backup communication doesn't have to be expensive. This whole setup costs a fraction of a dedicated portable power station and does everything you need for basic off grid internet.

Rob Benson

31,258 görüntüleme • 4 gün önce

THIS GUY SPENT $829 TO TURN A MAC MINI INTO A BATTERY-POWERED AI WORKER THAT CAN RUN FOR 12 HOURS ALMOST ANYWHERE 02:10 he plugs the $599 mac mini into a portable battery and pure sine wave inverter. the power kit adds roughly $230 to the build, weighs about 2 kilograms and keeps the computer running for around 10 to 12 hours depending on the workload. suddenly, the mac is no longer tied to a desk. it can process documents, download files, run scheduled scripts and organize research from a backpack, a car or any place where a normal computer would need an outlet. claude handles the reasoning, obsidian becomes the permanent memory and local whisper converts hours of audio into text without charging by the minute. python connects the stack and starts each task automatically, even when nobody is watching the screen. one 2-hour lecture can become 5 key ideas, 3 timestamped quotes and 5 review questions. 120 unread links can become connected notes, while a 45-minute meeting is turned into a clean summary before the laptop is opened. the full $829 setup can replace a $25 storage plan, $39 automation tool, $20 transcription service and a $30 vps. instead of paying up to $114 every month, the machine runs locally with only a few dollars in claude api usage. bookmark this before ai computers stop needing desks.

THIS GUY SPENT $829 TO TURN A MAC MINI INTO A BATTERY-POWERED AI WORKER THAT CAN RUN FOR 12 HOURS ALMOST ANYWHERE 02:10 he plugs the $599 mac mini into a portable battery and pure sine wave inverter. the power kit adds roughly $230 to the build, weighs about 2 kilograms and keeps the computer running for around 10 to 12 hours depending on the workload. suddenly, the mac is no longer tied to a desk. it can process documents, download files, run scheduled scripts and organize research from a backpack, a car or any place where a normal computer would need an outlet. claude handles the reasoning, obsidian becomes the permanent memory and local whisper converts hours of audio into text without charging by the minute. python connects the stack and starts each task automatically, even when nobody is watching the screen. one 2-hour lecture can become 5 key ideas, 3 timestamped quotes and 5 review questions. 120 unread links can become connected notes, while a 45-minute meeting is turned into a clean summary before the laptop is opened. the full $829 setup can replace a $25 storage plan, $39 automation tool, $20 transcription service and a $30 vps. instead of paying up to $114 every month, the machine runs locally with only a few dollars in claude api usage. bookmark this before ai computers stop needing desks.

Gipp 🦅

14,055 görüntüleme • 1 ay önce

Dylan Patel just mapped out the most important investment theme in AI infrastructure (Save this). "In about two years, solar plus battery will be cheaper than gas." Every new NVIDIA Blackwell rack pulls 120 kilowatts, Rubin Ultra rack pulls 600 kilowatts and the next generation hits a megawatt. The US grid cannot keep up, interconnection queues now run five years in many markets so the entire industry is being forced to solve power from first principles. The solar thesis is already happening. BloombergNEF's 2026 LCOE report, covering 800+ financed projects across 50+ markets puts solar plus 4 hour battery storage at $57 per megawatt-hour. Combined cycle gas turbines hit $102 per megawatt hour, the highest on record, up 16% year over year. In California and parts of Texas, solar plus storage is already cheaper than gas for data center power today and solar panel costs are expected to drop another 30% by 2035. Getting power from the grid into the form chips actually require is an entire industry unto itself and NVIDIA just rewrote the rules. The 800 volt DC transition is the most important infrastructure shift that's happening right now. Today's data centers run on 48 volt DC power delivery, a single next-generation GPU pulls over 2,500 watts and at 48 volts, the current required to power a megawatt rack would melt the copper wiring. The investment thesis breaks into four layers and the first layer is power semiconductors, specifically silicon carbide and gallium nitride. At 800 volts, traditional silicon based IGBTs hit their physical limits. SiC and GaN devices are the mandatory replacement. Infineon estimates $175,000 of semiconductor content per megawatt of AI rack power, versus almost nothing today and by 2030, power semiconductor content per AI cabinet grows from $15,000 to $115,000+. The names here are Infineon ($IFNNY), ON Semiconductor ($ON), Wolfspeed ($WOLF), Navitas ($NVTS), and STMicroelectronics ($STM). The second layer is power management and conversion. Vertiv ($VRT) is NVIDIA's lead architectural collaborator for the 800V transition, building the hardware that converts grid AC to 800V DC and the DC to DC power shelves for ultra dense racks. Eaton ($ETN) and Monolithic Power Systems ($MPWR) round out this layer. The third layer is grid to site infrastructure, GE Vernova ($GEV) builds the heavy electrical equipment that connects utility power to the data center campus. Orders are running at twice the rate of shipments, the classic leading indicator of sustained multi year revenue growth. The fourth layer is behind the meter power generation like your bloom energy because grid interconnection queues run five years, hyperscalers are bypassing the grid entirely, building dedicated gas, solar and battery systems on site. Make sure to follow me Melvin for more opportunities across the AI supply chain.

Dylan Patel just mapped out the most important investment theme in AI infrastructure (Save this). "In about two years, solar plus battery will be cheaper than gas." Every new NVIDIA Blackwell rack pulls 120 kilowatts, Rubin Ultra rack pulls 600 kilowatts and the next generation hits a megawatt. The US grid cannot keep up, interconnection queues now run five years in many markets so the entire industry is being forced to solve power from first principles. The solar thesis is already happening. BloombergNEF's 2026 LCOE report, covering 800+ financed projects across 50+ markets puts solar plus 4 hour battery storage at $57 per megawatt-hour. Combined cycle gas turbines hit $102 per megawatt hour, the highest on record, up 16% year over year. In California and parts of Texas, solar plus storage is already cheaper than gas for data center power today and solar panel costs are expected to drop another 30% by 2035. Getting power from the grid into the form chips actually require is an entire industry unto itself and NVIDIA just rewrote the rules. The 800 volt DC transition is the most important infrastructure shift that's happening right now. Today's data centers run on 48 volt DC power delivery, a single next-generation GPU pulls over 2,500 watts and at 48 volts, the current required to power a megawatt rack would melt the copper wiring. The investment thesis breaks into four layers and the first layer is power semiconductors, specifically silicon carbide and gallium nitride. At 800 volts, traditional silicon based IGBTs hit their physical limits. SiC and GaN devices are the mandatory replacement. Infineon estimates $175,000 of semiconductor content per megawatt of AI rack power, versus almost nothing today and by 2030, power semiconductor content per AI cabinet grows from $15,000 to $115,000+. The names here are Infineon ($IFNNY), ON Semiconductor ($ON), Wolfspeed ($WOLF), Navitas ($NVTS), and STMicroelectronics ($STM). The second layer is power management and conversion. Vertiv ($VRT) is NVIDIA's lead architectural collaborator for the 800V transition, building the hardware that converts grid AC to 800V DC and the DC to DC power shelves for ultra dense racks. Eaton ($ETN) and Monolithic Power Systems ($MPWR) round out this layer. The third layer is grid to site infrastructure, GE Vernova ($GEV) builds the heavy electrical equipment that connects utility power to the data center campus. Orders are running at twice the rate of shipments, the classic leading indicator of sustained multi year revenue growth. The fourth layer is behind the meter power generation like your bloom energy because grid interconnection queues run five years, hyperscalers are bypassing the grid entirely, building dedicated gas, solar and battery systems on site. Make sure to follow me Melvin for more opportunities across the AI supply chain.

Melvin

107,791 görüntüleme • 1 ay önce

People are spending $600 to run AI agents that print money 24/7. The smart ones spend $8. Same agents. Same income. One of them just got robbed at checkout. The pitch sounds smart: buy a separate Mac Mini so OpenClaw never touches your personal data. $600 up front. One box. One plug. The math nobody runs: That box has 1 point of failure. Power blips, the Mac dies, every agent you built stops cold. You reboot and start from zero. Any automation you had running is dead until you do. Want more agents, more compute? You’re buying more hardware to stack on top. Here’s the setup that actually prints while you sleep: A VPS. A virtual private server. A company hosts OpenClaw for you, off your personal data, and it never goes down. Hostinger runs about $8 a month. $600 once vs $8 a month. Always on. No single plug to kill it. 2 reasons to still buy the Mac Mini: 1. You want to talk to your bot over iMessage. 2. You run a company with sensitive data that can’t touch any outside provider. Everyone else is burning $600 to feel safe. I wrote a dead simple OpenClaw setup guide. Comment Claw and I’ll send it. Follow for more AI.

People are spending $600 to run AI agents that print money 24/7. The smart ones spend $8. Same agents. Same income. One of them just got robbed at checkout. The pitch sounds smart: buy a separate Mac Mini so OpenClaw never touches your personal data. $600 up front. One box. One plug. The math nobody runs: That box has 1 point of failure. Power blips, the Mac dies, every agent you built stops cold. You reboot and start from zero. Any automation you had running is dead until you do. Want more agents, more compute? You’re buying more hardware to stack on top. Here’s the setup that actually prints while you sleep: A VPS. A virtual private server. A company hosts OpenClaw for you, off your personal data, and it never goes down. Hostinger runs about $8 a month. $600 once vs $8 a month. Always on. No single plug to kill it. 2 reasons to still buy the Mac Mini: 1. You want to talk to your bot over iMessage. 2. You run a company with sensitive data that can’t touch any outside provider. Everyone else is burning $600 to feel safe. I wrote a dead simple OpenClaw setup guide. Comment Claw and I’ll send it. Follow for more AI.

West Lord

10,352 görüntüleme • 2 ay önce

THIS BUILDER JUST DROPPED 256GB OF RAM INTO A MONSTER THREADRIPPER WORKSTATION TO RUN UNFILTERED LOCAL AI Imagine trying to fit a computer setup into a chassis that is basically the size of a mini fridge. That is the Corsair 1000D tower. The builder crammed an ASUS Pro WS WRX80E-SAGE motherboard inside and slapped a 64-core AMD Threadripper PRO 5995WX right into the socket Why go this heavy? Simple. To make sure local open weights models don't instantly choke standard desktop hardware during heavy reasoning tasks Then things get downright ridiculous with the memory configuration. He unboxes eight separate Kingston DDR4 modules, pinning a massive 256 gigabytes of system RAM directly to the board. Having that kind of local memory headroom is an absolute necessity if a team wants to handle massive datasets or run dense training loops without constantly swapping data to the storage drives Speaking of storage, the system relies on two lightning fast 2TB Samsung 990 PRO NVMe drives For the graphics pipeline, he drops in a top-tier ASUS ROG RTX 4090 boasting 24 gigabytes of VRAM. That is pretty much the gold standard right now if you want to run quick local inference cycles and completely stop paying corporate cloud token fees to OpenAI or Anthropic Powering this whole grid requires a monstrous ASUS ROG 1600W Thor Gen 2 power supply. And to prevent the entire workstation from turning into a space heater under full load, the builder went all out with a 360mm AIO liquid cooling setup and an insane cluster of sixteen Lian Li SL-Infinity RGB fans It looks incredibly flashy, probably sounds like a jet engine when the cores push maximum load What to buy for local AI? => my guide below Bookmark this so you don't lose it

THIS BUILDER JUST DROPPED 256GB OF RAM INTO A MONSTER THREADRIPPER WORKSTATION TO RUN UNFILTERED LOCAL AI Imagine trying to fit a computer setup into a chassis that is basically the size of a mini fridge. That is the Corsair 1000D tower. The builder crammed an ASUS Pro WS WRX80E-SAGE motherboard inside and slapped a 64-core AMD Threadripper PRO 5995WX right into the socket Why go this heavy? Simple. To make sure local open weights models don't instantly choke standard desktop hardware during heavy reasoning tasks Then things get downright ridiculous with the memory configuration. He unboxes eight separate Kingston DDR4 modules, pinning a massive 256 gigabytes of system RAM directly to the board. Having that kind of local memory headroom is an absolute necessity if a team wants to handle massive datasets or run dense training loops without constantly swapping data to the storage drives Speaking of storage, the system relies on two lightning fast 2TB Samsung 990 PRO NVMe drives For the graphics pipeline, he drops in a top-tier ASUS ROG RTX 4090 boasting 24 gigabytes of VRAM. That is pretty much the gold standard right now if you want to run quick local inference cycles and completely stop paying corporate cloud token fees to OpenAI or Anthropic Powering this whole grid requires a monstrous ASUS ROG 1600W Thor Gen 2 power supply. And to prevent the entire workstation from turning into a space heater under full load, the builder went all out with a 360mm AIO liquid cooling setup and an insane cluster of sixteen Lian Li SL-Infinity RGB fans It looks incredibly flashy, probably sounds like a jet engine when the cores push maximum load What to buy for local AI? => my guide below Bookmark this so you don't lose it

beamnxw ./

47,366 görüntüleme • 1 ay önce

Helion energy is building what will be the world’s first commercial fusion power plant, scheduled to be finished in 3 years. Great interview by Lex Fridman with David Kirtley (CEO of Helion). Most power plants are heat engines. You burn fuel or run fission, boil water, spin a turbine, and get about 35% electricity while the rest leaves as waste heat. Helion flips the flow. The fusion reaction makes charged particles that push back on a magnetic field tied to a capacitor bank, so you get direct electricity instead of a steam loop. That path can reach about 85% efficiency from fusion energy to electrical output, which means less conversion gear and tighter control over power delivery. 🧪 How the machine works A giant capacitor bank drives coils that both accelerate and squeeze plasma. Two plasmas, deuterium plus helium‑3, are launched from opposite sides and collide in the center. By rapidly reversing the magnetic field in about 1 microsecond, the plasma self-organizes into a field‑reversed configuration that traps itself. Then the machine compresses it hard. Fusion happens, new charged particles appear, and their pressure pushes the magnetic field so the system dumps energy back into the capacitors. It is pulsed, up to 100Hz in tests, so each shot is a clean measure of input versus recovered electricity. 🛡️ Safety and waste There is no chain reaction. The device only holds about 1 second of fuel at any time, so stopping the drive stops fusion. X‑rays and some neutrons exist during operation, so you use shielding and standard controls, similar to particle‑accelerator facilities. When the pulse stops, the radiation source stops. 🖥️ Why data centers care The output is high‑voltage DC sitting on capacitors. You can invert to AC for the grid, or route DC with fewer conversions into rectifier buses for racks. That cuts losses and simplifies backup. The company is targeting 2028 for a first grid-tied plant for a large buyer, which lines up with growing AI power needs. 🧩 What is still hard Helium‑3 is scarce on Earth, so you must produce it or source it. This fuel also likes higher temperatures, roughly 200M-300M degrees, so the pulsed magnets and power electronics must be very fast and very tough. Stability is managed by giving the plasma enough “spin” and length so it behaves like a fast top that stays upright, plus thousands of synchronized switches that fire with microsecond timing. If this architecture keeps showing pulse gain and high‑efficiency recovery, you get a compact generator that skips steam, feeds a capacitor, and delivers clean power in the exact format modern compute wants.

Helion energy is building what will be the world’s first commercial fusion power plant, scheduled to be finished in 3 years. Great interview by Lex Fridman with David Kirtley (CEO of Helion). Most power plants are heat engines. You burn fuel or run fission, boil water, spin a turbine, and get about 35% electricity while the rest leaves as waste heat. Helion flips the flow. The fusion reaction makes charged particles that push back on a magnetic field tied to a capacitor bank, so you get direct electricity instead of a steam loop. That path can reach about 85% efficiency from fusion energy to electrical output, which means less conversion gear and tighter control over power delivery. 🧪 How the machine works A giant capacitor bank drives coils that both accelerate and squeeze plasma. Two plasmas, deuterium plus helium‑3, are launched from opposite sides and collide in the center. By rapidly reversing the magnetic field in about 1 microsecond, the plasma self-organizes into a field‑reversed configuration that traps itself. Then the machine compresses it hard. Fusion happens, new charged particles appear, and their pressure pushes the magnetic field so the system dumps energy back into the capacitors. It is pulsed, up to 100Hz in tests, so each shot is a clean measure of input versus recovered electricity. 🛡️ Safety and waste There is no chain reaction. The device only holds about 1 second of fuel at any time, so stopping the drive stops fusion. X‑rays and some neutrons exist during operation, so you use shielding and standard controls, similar to particle‑accelerator facilities. When the pulse stops, the radiation source stops. 🖥️ Why data centers care The output is high‑voltage DC sitting on capacitors. You can invert to AC for the grid, or route DC with fewer conversions into rectifier buses for racks. That cuts losses and simplifies backup. The company is targeting 2028 for a first grid-tied plant for a large buyer, which lines up with growing AI power needs. 🧩 What is still hard Helium‑3 is scarce on Earth, so you must produce it or source it. This fuel also likes higher temperatures, roughly 200M-300M degrees, so the pulsed magnets and power electronics must be very fast and very tough. Stability is managed by giving the plasma enough “spin” and length so it behaves like a fast top that stays upright, plus thousands of synchronized switches that fire with microsecond timing. If this architecture keeps showing pulse gain and high‑efficiency recovery, you get a compact generator that skips steam, feeds a capacitor, and delivers clean power in the exact format modern compute wants.

Rohan Paul

63,912 görüntüleme • 9 ay önce

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints

Moon Dev

17,382 görüntüleme • 6 ay önce

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

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 görüntüleme • 1 ay önce

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this

This guy put an AI data center into a box that fits on a desk It doesn't look like a serious machine It looks like a mini PC you could hide behind a monitor But with enough unified memory it can run local models, answer over your own files, power agents and keep private work off someone else's servers That sounds like a hobby setup until you look at what people are actually renting every month Claude subscription ChatGPT subscription API credits cloud GPU time usage limits private files uploaded into third-party tools For years the deal was simple: if you wanted intelligence, you rented it Now a Mac Mini M4 Pro or a 128GB AMD mini PC can handle a big part of everyday AI work locally Ollama runs the models Open WebUI gives you the chat interface Tailscale lets you reach it from your phone or laptop without exposing it to the open internet The cloud still wins for the hardest tasks But most daily AI work is not frontier research It is reading documents, summarizing files, drafting, coding helpers, search, notes and private workflows Most people will keep paying rent because it is convenient Others are realizing the assistant they rent every month can become hardware they own save this

Asteri

12,171 görüntüleme • 1 ay önce

🚨 UVU STAGE FORENSIC BREAKDOWN: We're The Audio Mixer & Microphone Battery Pack Rigged for Charlie Kirk Explosion— Proof of "Testing" Weeks Before! Here's a forensic visual breakdown of the professional 4K streaming setup at Thanks to @AlleyFiles investigator overlays, we’ve now have every piece of gear on that stage noted—and the results are disturbing. ⚡️ THE FORENSIC MANIFEST: Audio Command: The U300 Digital Mixer (Annotated for potential surge/grounding points). Power Source: High-capacity mobile battery-powered rigs—standard for Kirk’s tours to avoid local grid instability. Monitoring: Professional-grade multi-cam 4K digital monitoring. Charlie’s Rode Mic Pack, worn on his belt under his shirt (left side), was directly aligned with the trajectory of the fatal entry wound on his neck. Witnesses reported a sound, but was it a gun? We believe the mic pack was rigged to explode, triggered by the very equipment on stage. Did the U300 play a pre-recorded gunshot over the PA system at the exact moment of the detonation to mask the sound of a small explosive charge? 🔊💥 Instagram stories from the Gear tech team show this exact setup was being prepped and tested for weeks. Was this "testing" actually a calibration for a remote trigger? If the FBI is calling this a "lone wolf" shooting, why does the physical evidence point to a digital execution? The gear was professional-grade, battery-isolated, and controlled. It didn't "malfunction"—it was used. The timeline doesn't lie. The tech doesn't lie.🕵️‍♂️🇺🇸 Credit to Alley Files for these pics, FOLLOW Her!

🚨 UVU STAGE FORENSIC BREAKDOWN: We're The Audio Mixer & Microphone Battery Pack Rigged for Charlie Kirk Explosion— Proof of "Testing" Weeks Before! Here's a forensic visual breakdown of the professional 4K streaming setup at Thanks to @AlleyFiles investigator overlays, we’ve now have every piece of gear on that stage noted—and the results are disturbing. ⚡️ THE FORENSIC MANIFEST: Audio Command: The U300 Digital Mixer (Annotated for potential surge/grounding points). Power Source: High-capacity mobile battery-powered rigs—standard for Kirk’s tours to avoid local grid instability. Monitoring: Professional-grade multi-cam 4K digital monitoring. Charlie’s Rode Mic Pack, worn on his belt under his shirt (left side), was directly aligned with the trajectory of the fatal entry wound on his neck. Witnesses reported a sound, but was it a gun? We believe the mic pack was rigged to explode, triggered by the very equipment on stage. Did the U300 play a pre-recorded gunshot over the PA system at the exact moment of the detonation to mask the sound of a small explosive charge? 🔊💥 Instagram stories from the Gear tech team show this exact setup was being prepped and tested for weeks. Was this "testing" actually a calibration for a remote trigger? If the FBI is calling this a "lone wolf" shooting, why does the physical evidence point to a digital execution? The gear was professional-grade, battery-isolated, and controlled. It didn't "malfunction"—it was used. The timeline doesn't lie. The tech doesn't lie.🕵️‍♂️🇺🇸 Credit to Alley Files for these pics, FOLLOW Her!

Project Constitution

255,646 görüntüleme • 5 ay önce

A rare insight into the AN/PRC-10 field radio used in Korea and early Vietnam war, mainly built by General Electric. A 1950s vacuum tube man-pack system, fully assembled and wired by hand, built around 16 subminiature vacuum tubes with no semiconductors, no digital control, and no onboard computation. To operate, it required a stacked multi voltage battery system producing 1.5V, 6V, 67.5V and 135V simultaneously, just to keep analog amplification and RF stages stable in field conditions. For scale, a modern smartphone battery like an iPhone stores roughly 10 to 12 watt hours of energy in a compact lithium cell. The PRC-10 was operating with far lower usable power output, around 1 watt of transmission power, but in a completely discrete high voltage analog architecture. Each unit costed roughly $300 to $430 in 1950s terms, about $4K to $5K today, not because of electronics complexity in the modern sense, but because every radio had to be individually hand calibrated for frequency stability and field reliability all built by hand. In practice, systems like this gave US infantry units reliable 5 to 12 km communication in terrain where coordination with artillery and manoeuvre units directly influenced survival outcomes. What looks like simple battlefield equipment today was a fully hand built analog communication system that carried command decisions across entire units in real time. 🎥Biofab138

A rare insight into the AN/PRC-10 field radio used in Korea and early Vietnam war, mainly built by General Electric. A 1950s vacuum tube man-pack system, fully assembled and wired by hand, built around 16 subminiature vacuum tubes with no semiconductors, no digital control, and no onboard computation. To operate, it required a stacked multi voltage battery system producing 1.5V, 6V, 67.5V and 135V simultaneously, just to keep analog amplification and RF stages stable in field conditions. For scale, a modern smartphone battery like an iPhone stores roughly 10 to 12 watt hours of energy in a compact lithium cell. The PRC-10 was operating with far lower usable power output, around 1 watt of transmission power, but in a completely discrete high voltage analog architecture. Each unit costed roughly $300 to $430 in 1950s terms, about $4K to $5K today, not because of electronics complexity in the modern sense, but because every radio had to be individually hand calibrated for frequency stability and field reliability all built by hand. In practice, systems like this gave US infantry units reliable 5 to 12 km communication in terrain where coordination with artillery and manoeuvre units directly influenced survival outcomes. What looks like simple battlefield equipment today was a fully hand built analog communication system that carried command decisions across entire units in real time. 🎥Biofab138

Ammanichanda

37,972 görüntüleme • 1 ay önce