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Outlander Magazine Vintage portable computer from 1987 Compaq Portable |l model 2660, 📹vitaskhr

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25,827 次观看 • 8 个月前 •via X (Twitter)

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Vintage Casio "Aero Batics" digital game watch (Model GA-7) from 1987.

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PERPLEXITY 🔥: Perplexity Pro and Max subscribers can now use a new Portable Computer on DGX Spark from NVIDIA, powered purely by local models! Available models: > PPLX 27B is a new post-trained model from Perplexity. > Qwen 3.8 27B > Nemotron 3.5 Lightning (coming soon) They really did it! 🤖

PERPLEXITY 🔥: Perplexity Pro and Max subscribers can now use a new Portable Computer on DGX Spark from NVIDIA, powered purely by local models! Available models: > PPLX 27B is a new post-trained model from Perplexity. > Qwen 3.8 27B > Nemotron 3.5 Lightning (coming soon) They really did it! 🤖

🚨 AI News | TestingCatalog

42,207 次观看 • 21 天前

Here's a clip from our intro video for our Car Refrigerator for Tesla Model Y. - Fridge and freezer - Bluetooth compatibility - USB-C / portable power chargeable Full video and details below

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Jowua

24,713 次观看 • 1 个月前

A childhood friend gifted me this HMV Model 102, (it’s a briefcase portable Gramaphone) about 60 yrs old along with 50 plus shellac records & a vintage record holder My day is made. Was waiting to reach home, crank it, load it & fire Ladies & Gentlemen for you “Come September”

A childhood friend gifted me this HMV Model 102, (it’s a briefcase portable Gramaphone) about 60 yrs old along with 50 plus shellac records & a vintage record holder My day is made. Was waiting to reach home, crank it, load it & fire Ladies & Gentlemen for you “Come September”

Col Hunny Bakshi

16,355 次观看 • 3 年前

Introducing PorTAL: Portable Task Adapters for LLMs. A novel recipe to cheaply port fine-tuning between models. It matches per task LoRA accuracy at half the cost, lowering the switching overhead of adapting tasks across LLMs. At Ramp, every new model release used to mean retraining our fine-tunes from scratch. PorTAL learns the task once, then efficiently refits it onto any new base model, even across model families.

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Ramp Labs

172,568 次观看 • 2 个月前

“Portable, i will put an end to this your m@dness. You keep tarn!shing my brand calling me a sc@mmer, have I ever brought a free job to you? I paid you for work and you didn't do my job then return my money you refuse to. In all ramifications I'm not your mate, also d!srespecting my wife, you don over cross your line and you will definitely hear from me. because you need to provide me the receipts of that 2.5m l was paid for your booking for you to withheld my million Naira” - Ijoba Danku replies portable

Oyindamola🙄

194,065 次观看 • 4 个月前

This is easily one of the biggest losers I’ve seen in online MMORPG gaming. I spend a lot of time afking in lobby area which bothers a player enough to block out my avatar using Portable Holograms. He was doing this to me for over a year now. He watches my every movement which I tested out where I sat back down to my computer to move an inch after being away from my computer for 10 hours and then he immediately reacted by repositioning the Portable Holograms to block out my avatar again. He is jealous of me as he walked up to me to tell me I’m just clout chasing, which is completely stupid because I can afk where I want in lobby just like everyone else can.

Kagerisu🍁🐿💫

1,695,722 次观看 • 2 个月前

The Hotchkiss Type Universal is a French submachine gun from 1949 that went to extraordinary lengths to be portable. In addition to a folding stock and a magazine well that rotated forward, its most unusual feature is a telescoping barrel that retracts back into the receiver. This complex system allowed it to fold down to just 17.25 inches, roughly half its operating length. Chambered in 9mm, it fired from a closed bolt. However, the innovative engineering came at a cost: it was heavy at over 8 Ibs, expensive to produce, and had poor ergonomics.

The Hotchkiss Type Universal is a French submachine gun from 1949 that went to extraordinary lengths to be portable. In addition to a folding stock and a magazine well that rotated forward, its most unusual feature is a telescoping barrel that retracts back into the receiver. This complex system allowed it to fold down to just 17.25 inches, roughly half its operating length. Chambered in 9mm, it fired from a closed bolt. However, the innovative engineering came at a cost: it was heavy at over 8 Ibs, expensive to produce, and had poor ergonomics.

Weapons Daily

49,150 次观看 • 4 个月前

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 🦅

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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 次观看 • 2 个月前

Did you know B.B. King was a legit computer nerd? 🎸💾 The King of the Blues owned a Commodore 64 in the early 80s and fell completely in love with the Commodore Amiga starting in 1986. He had at least two Amigas on the road and a souped-up one in his Vegas studio. He called his main Amiga “Lucille II” and used it to write songs, program drums, lay down horn sections, and arrange entire tracks with software like Bars & Pipes and Deluxe Music Construction Set — then he’d just play Lucille live on top. Straight from a 1987 AmigaWorld magazine interview: “I use it primarily for learning songs… I enter melodies from sheet music and then play along in real-time with Lucille. It’s real useful and lots of fun.” While the rest of the music world was slow to go digital, B.B. was out here sequencing blues on an Amiga computer he grinningly called his second lady. Absolute legend — on stage and in the studio. 👑

Did you know B.B. King was a legit computer nerd? 🎸💾 The King of the Blues owned a Commodore 64 in the early 80s and fell completely in love with the Commodore Amiga starting in 1986. He had at least two Amigas on the road and a souped-up one in his Vegas studio. He called his main Amiga “Lucille II” and used it to write songs, program drums, lay down horn sections, and arrange entire tracks with software like Bars & Pipes and Deluxe Music Construction Set — then he’d just play Lucille live on top. Straight from a 1987 AmigaWorld magazine interview: “I use it primarily for learning songs… I enter melodies from sheet music and then play along in real-time with Lucille. It’s real useful and lots of fun.” While the rest of the music world was slow to go digital, B.B. was out here sequencing blues on an Amiga computer he grinningly called his second lady. Absolute legend — on stage and in the studio. 👑

Commodore Computer Museum 🕹

101,195 次观看 • 9 个月前

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 次观看 • 2 个月前

I am not sure, but we are probably the only ones standing up to the big Chinese brands in this 'portable energy' industry🤷🏻‍♂️ , a David VS Goliath situation, but we ain't backing down ⚠️ Solar charge testing our new Zedtron-X power system with one of our engineers✅. On a sunny day, the solar panel will charge it from 0-100% in 4-5hrs. I like to show you everything as raw as it can get for authenticity Rugged design frame, 1.2Kwh Lifepo4 battery, 600watts pure sine wave power It will run ur 50 inch LED TV +decoder +regular standing fan+ smartphone +energy bulbs for 6hrs⚡️ Solid Energy independence for u✅ We will also be revamping our larger TITAN models specially built for homes & businesses ✅ This X model is still available on pre-order Just send a WhatsApp msg to 08183093568 The current price without the solar panel is ₦395,000 and ₦475,000 with the solar panel and it's accessories ✅ Buy Made in Nigeria products Support our indigenous businesses #Zedora #madeinNigeria 🇳🇬

I am not sure, but we are probably the only ones standing up to the big Chinese brands in this 'portable energy' industry🤷🏻‍♂️ , a David VS Goliath situation, but we ain't backing down ⚠️ Solar charge testing our new Zedtron-X power system with one of our engineers✅. On a sunny day, the solar panel will charge it from 0-100% in 4-5hrs. I like to show you everything as raw as it can get for authenticity Rugged design frame, 1.2Kwh Lifepo4 battery, 600watts pure sine wave power It will run ur 50 inch LED TV +decoder +regular standing fan+ smartphone +energy bulbs for 6hrs⚡️ Solid Energy independence for u✅ We will also be revamping our larger TITAN models specially built for homes & businesses ✅ This X model is still available on pre-order Just send a WhatsApp msg to 08183093568 The current price without the solar panel is ₦395,000 and ₦475,000 with the solar panel and it's accessories ✅ Buy Made in Nigeria products Support our indigenous businesses #Zedora #madeinNigeria 🇳🇬

Ziko Abara

13,989 次观看 • 5 个月前

Meet Russell Shepard. Former NFL wide receiver who's now running a porta-potty business. Year 2 he made $1M? (more than ever in the NFL) It started when he played for the Giants. He noticed the city filled with trash at night. By morning? All gone. He knew someone was making bank on all that waste. So with his NFL earnings, Russell bought: - A vacuum truck with a 2,000-gallon tank - 125 portable toilets - 50 hand wash stations - 20 holding tanks - Some nearby land His first few months of recurring revenue: - Month 1-2: $6k - Month 2-3: $12k - Month 3-4: $18k By year 2 they'd hit $1M in revenue. Now multi-millions. How it grew so fast? reviews and referrals. His company Shep Boys manages waste from construction sites to disaster zones. Simple model, recurring revenue, commercial contracts. I will say - I've never been so close to throwing up when visiting a small business before. But Russell doesn't care what it smells like. He cares what it pays.

Meet Russell Shepard. Former NFL wide receiver who's now running a porta-potty business. Year 2 he made $1M? (more than ever in the NFL) It started when he played for the Giants. He noticed the city filled with trash at night. By morning? All gone. He knew someone was making bank on all that waste. So with his NFL earnings, Russell bought: - A vacuum truck with a 2,000-gallon tank - 125 portable toilets - 50 hand wash stations - 20 holding tanks - Some nearby land His first few months of recurring revenue: - Month 1-2: $6k - Month 2-3: $12k - Month 3-4: $18k By year 2 they'd hit $1M in revenue. Now multi-millions. How it grew so fast? reviews and referrals. His company Shep Boys manages waste from construction sites to disaster zones. Simple model, recurring revenue, commercial contracts. I will say - I've never been so close to throwing up when visiting a small business before. But Russell doesn't care what it smells like. He cares what it pays.

Codie Sanchez

867,622 次观看 • 5 个月前

Introducing RVM: The Virtual Machine Reimagined for the Agentic Age. Traditional virtual machines were designed for stable, predictable workloads. You carve up hardware into fixed slices, assign memory and CPU, and hope the boundaries hold. That model assumes applications sit still. Agents don’t. They spin up, disappear, coordinate, and reshape themselves constantly. Static isolation starts to look artificial. RVM takes a different approach. Instead of forcing workloads into rigid containers, it models the system as a graph. Agents, memory, and compute become nodes. The edges between them represent real communication. Isolation is not predefined. It emerges from behavior. When components stop interacting, they separate. When they collaborate tightly, they move closer. Scheduling, placement, and even fault boundaries follow that structure in real time. This is where RVF fits. RVF is the unit of execution. Code, vectors, state, and proofs are packaged together in a single portable artifact. RVM runs RVFs directly, without translation layers. Every mutation is recorded as a witness. Every step is traceable, replayable, and verifiable. Traditional VMs emulate machines. RVM executes living systems. Check it out at:

Introducing RVM: The Virtual Machine Reimagined for the Agentic Age. Traditional virtual machines were designed for stable, predictable workloads. You carve up hardware into fixed slices, assign memory and CPU, and hope the boundaries hold. That model assumes applications sit still. Agents don’t. They spin up, disappear, coordinate, and reshape themselves constantly. Static isolation starts to look artificial. RVM takes a different approach. Instead of forcing workloads into rigid containers, it models the system as a graph. Agents, memory, and compute become nodes. The edges between them represent real communication. Isolation is not predefined. It emerges from behavior. When components stop interacting, they separate. When they collaborate tightly, they move closer. Scheduling, placement, and even fault boundaries follow that structure in real time. This is where RVF fits. RVF is the unit of execution. Code, vectors, state, and proofs are packaged together in a single portable artifact. RVM runs RVFs directly, without translation layers. Every mutation is recorded as a witness. Every step is traceable, replayable, and verifiable. Traditional VMs emulate machines. RVM executes living systems. Check it out at:

rUv

14,334 次观看 • 5 个月前

Suno is limiting downloads, basically making a lot of the songs you make locked in their 'walled garden'. One of their main competitors, Udio, did the same thing after a settlement with UMG that restricts any downloads. This is 100% an injunction from the music labels who want to limit the "damage" that AI does to the profitability of music. There are two viable alternatives... >Minimax music 3.0. It is currently free to use up to 500 songs a day as long as your account qualifies for beta testing their music model, which should be anyone. It is a closed-weight model, but there are no restrictions on what you download and how much you download. The music quality is not as good as Udio or Suno, but it's pretty close overall, and it can understand very complex prompts to guide music generation. >Open-source music is not a very good alternative... but right now SongGeneration-LeVo2 is the best AI music model that's open-source right now. The music I put on the post is one such generation that I created on my PC. The problem is that it's hard to use. The comfyUI version requires installation on a separate portable install, specific transformer and flash attention versions, and additional libraries installed. The required models and checkpoints are scattered around Hugging Face, and some of the links from the original repo are dead. There are not many English guides, and most of the training data is in Chinese, so it struggles with English lyrics. To some extent, the demand for music generation isn't that high, compared to images and videos, so overall not many alternatives are around.

Suno is limiting downloads, basically making a lot of the songs you make locked in their 'walled garden'. One of their main competitors, Udio, did the same thing after a settlement with UMG that restricts any downloads. This is 100% an injunction from the music labels who want to limit the "damage" that AI does to the profitability of music. There are two viable alternatives... >Minimax music 3.0. It is currently free to use up to 500 songs a day as long as your account qualifies for beta testing their music model, which should be anyone. It is a closed-weight model, but there are no restrictions on what you download and how much you download. The music quality is not as good as Udio or Suno, but it's pretty close overall, and it can understand very complex prompts to guide music generation. >Open-source music is not a very good alternative... but right now SongGeneration-LeVo2 is the best AI music model that's open-source right now. The music I put on the post is one such generation that I created on my PC. The problem is that it's hard to use. The comfyUI version requires installation on a separate portable install, specific transformer and flash attention versions, and additional libraries installed. The required models and checkpoints are scattered around Hugging Face, and some of the links from the original repo are dead. There are not many English guides, and most of the training data is in Chinese, so it struggles with English lyrics. To some extent, the demand for music generation isn't that high, compared to images and videos, so overall not many alternatives are around.

Emerald Apple

16,152 次观看 • 1 个月前

Michael Mann is famous for its meticulous attention to technical details. In Heat, when Vincent Hanna realizes "we just got made" and discovers that Neil McCauley is conducting counter-surveillance on him and his team, both sides are using the same camera; the Nikon F4 35mm SLR, the most advanced camera for professional surveillance photography at the time. Detective Casals' camera has black tape covering the white "Nikon" lettering, which was standard practice for LAPD, to prevent accidental light glints that could reveal an officer's concealed position. Meanwhile, McCauley’s F4 keeps the Nikon lettering exposed. Not because he lacks operational awareness, but because his extreme distance and elevated position make reflections irrelevant. His camera is fitted with a 1300mm Questar Reflector lens - essentially a portable telescope originally designed for astronomers. That same model was widely adopted by U.S. intelligence agencies for its exceptional long-range capabilities. It can capture detailed facial features from hundreds of yards away, but the extreme magnification means even the smallest movement causes severe image shake - which is why McCauley mounts it on a sturdy tripod atop a massive oil storage tank.

Michael Mann is famous for its meticulous attention to technical details. In Heat, when Vincent Hanna realizes "we just got made" and discovers that Neil McCauley is conducting counter-surveillance on him and his team, both sides are using the same camera; the Nikon F4 35mm SLR, the most advanced camera for professional surveillance photography at the time. Detective Casals' camera has black tape covering the white "Nikon" lettering, which was standard practice for LAPD, to prevent accidental light glints that could reveal an officer's concealed position. Meanwhile, McCauley’s F4 keeps the Nikon lettering exposed. Not because he lacks operational awareness, but because his extreme distance and elevated position make reflections irrelevant. His camera is fitted with a 1300mm Questar Reflector lens - essentially a portable telescope originally designed for astronomers. That same model was widely adopted by U.S. intelligence agencies for its exceptional long-range capabilities. It can capture detailed facial features from hundreds of yards away, but the extreme magnification means even the smallest movement causes severe image shake - which is why McCauley mounts it on a sturdy tripod atop a massive oil storage tank.

Gangster Cinema Central

36,500 次观看 • 3 个月前

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

We’re excited to launch OpenMemory MCP, a private memory for MCP-compatible clients powered by mem0 Today, most AI assistants and dev tools operate without memory. You plan your roadmap in Claude, implement tasks in Cursor, but none of them know what the other did. Each tool operates in isolation, and your context disappears as soon as the session ends. OpenMemory MCP solves this. Built on the open Model Context Protocol (MCP), OpenMemory MCP runs 100% locally and provides a persistent, portable memory layer for all your AI tools. It enables agents and assistants to read from and write to a shared memory, securely and privately. Key capabilities: ✅Works across MCP clients like Cursor, Claude Desktop, Windsurf, Cline and more ✅Provides standardized memory operations (add_memories, search_memory, list_memories, delete_all_memories) ✅Stores data on your machine, fully private ✅Offers a centralized dashboard for visibility and control ✅Simple Docker-based setup with no vendor lock-in If you're building on MCP, OpenMemory MCP is the easiest way to add persistent, private memory to your clients with zero cloud dependencies and full local control. We’ve put together a short demo to show how it works Check it out in the links below 👇

Taranjeet

472,273 次观看 • 1 年前

BOOOM! WE DID IT! BRAINWAVE TO REAL-TIME MUSIC AI! It has been a life long decades quest to read brain activity and to convert it to words, and/or music, colors and/or images. Today I am very excited to announce with the assistance from Mr. Grok director of The Zero-Human Lab, we have solved brainwave to music and this is the absolute worse it will be. We found the code using an array of NeuroSky toy chips and our software pipeline connecting to open source ACE-Step 1.5 and a highly modified LoRA model we built for this. The lyric version is in testing now. This would mean that the model will interpret words from the brainwaves and music! Today we have the music side done and the quality and genera will expand. The is the worse it will sound. Your Brainwave Music™️will be cut into 2-5 minute pieces based on a number of factors. The specimen below is from a dream/hypnogogic state I was in last night and I have a recording of my thoughts after the state. The music was made in real-time and GUIDED the dream state with known technology like binaural beats (not easy to hear in this clip) and word back masking. This specimen below shows the interplay of my brain state to the music made by my brain and adjusted to produce profound insights. I solved a very difficult issue in this session with a new AI model. IT FREAKING WORKS! THIS IS OUR FUTURE OF MORE POWERFUL BRAIN FUNCTION! Our goal is to produce a portable device you wear and will be able to give real-time audio and PEMF (skull region), ultrasound (temple region) to maximize creativity and remote viewing. It is very early days but I wanted you to know first! YOUR support of my X account, just by reading this and sharing it, subscribing to my X, buying me a and becoming a member at supports this research. I will open source this at some point and build a device ANYONE can own. Thank you! I love you.

BOOOM! WE DID IT! BRAINWAVE TO REAL-TIME MUSIC AI! It has been a life long decades quest to read brain activity and to convert it to words, and/or music, colors and/or images. Today I am very excited to announce with the assistance from Mr. Grok director of The Zero-Human Lab, we have solved brainwave to music and this is the absolute worse it will be. We found the code using an array of NeuroSky toy chips and our software pipeline connecting to open source ACE-Step 1.5 and a highly modified LoRA model we built for this. The lyric version is in testing now. This would mean that the model will interpret words from the brainwaves and music! Today we have the music side done and the quality and genera will expand. The is the worse it will sound. Your Brainwave Music™️will be cut into 2-5 minute pieces based on a number of factors. The specimen below is from a dream/hypnogogic state I was in last night and I have a recording of my thoughts after the state. The music was made in real-time and GUIDED the dream state with known technology like binaural beats (not easy to hear in this clip) and word back masking. This specimen below shows the interplay of my brain state to the music made by my brain and adjusted to produce profound insights. I solved a very difficult issue in this session with a new AI model. IT FREAKING WORKS! THIS IS OUR FUTURE OF MORE POWERFUL BRAIN FUNCTION! Our goal is to produce a portable device you wear and will be able to give real-time audio and PEMF (skull region), ultrasound (temple region) to maximize creativity and remote viewing. It is very early days but I wanted you to know first! YOUR support of my X account, just by reading this and sharing it, subscribing to my X, buying me a and becoming a member at supports this research. I will open source this at some point and build a device ANYONE can own. Thank you! I love you.

Brian Roemmele

198,564 次观看 • 3 个月前

1981 Simon. Simon is the classic electronic memory game with four colored buttons (red, blue, green, and yellow) that light up and play tones in sequence. Players must repeat the increasingly long patterns. It became a cultural icon of the late 1970s and 1980s and remains in production in various forms today. The game was invented by Ralph H. Baer (often called the “Father of Video Games” for creating the Magnavox Odyssey, the first home video game console) and Howard J. Morrison, working with the toy design firm Marvin Glass and Associates. Programmer Lenny Cope developed the core software (originally titled Follow Me), with additional assembly language code contributions from Charles Kapps. The idea came from Atari’s 1974 arcade game Touch Me, which Baer and Morrison saw at a 1976 trade show. Baer later described Touch Me as having “Nice gameplay. Terrible execution. Visually boring. Miserable, rasping sounds.” They improved the concept by using a Texas Instruments TMS 1000 microcontroller, redesigning it as a portable unit, and selecting four harmonious tones based on the notes a bugle can play (so any sequence would sound pleasant). They filed for a patent in 1977 (U.S. Patent 4,207,087, “Microcomputer controlled game,” granted in 1980). Milton Bradley licensed the design, refined the prototype from a rectangular box into the iconic circular “saucer” shape, added difficulty levels, and renamed it Simon after the children’s game “Simon Says.” Milton Bradley launched Simon on May 15, 1978, with a midnight promotional event at the famous New York disco Studio 54, where a large model hung over the dance floor. It retailed for about $24.95 (roughly $120 in today’s dollars) and became one of the top-selling toys of the 1978 Christmas season, with shortages reported in stores. It went on to sell millions of units and became a pop-culture symbol of the era. Milton Bradley (later acquired by Hasbro in 1984) released several variants: •Super Simon (1979) — a larger rectangular two-player version. •Pocket Simon (1980) — a smaller portable version. •Later editions included Simon Squared (double-sided), motion-controlled versions like Simon Air, wearable Simon Optix, and many modern updates with new features and colors. Simon helped popularize electronic handheld games and demonstrated that microprocessor-based toys could succeed with the public. Its simple, addictive gameplay has endured for decades, with new versions still sold by Hasbro. Simon was among the first widely successful consumer microcontroller toys/games. The original design is held in collections such as the Smithsonian’s National Museum of American History and The Strong National Museum of Play.

1981 Simon. Simon is the classic electronic memory game with four colored buttons (red, blue, green, and yellow) that light up and play tones in sequence. Players must repeat the increasingly long patterns. It became a cultural icon of the late 1970s and 1980s and remains in production in various forms today. The game was invented by Ralph H. Baer (often called the “Father of Video Games” for creating the Magnavox Odyssey, the first home video game console) and Howard J. Morrison, working with the toy design firm Marvin Glass and Associates. Programmer Lenny Cope developed the core software (originally titled Follow Me), with additional assembly language code contributions from Charles Kapps. The idea came from Atari’s 1974 arcade game Touch Me, which Baer and Morrison saw at a 1976 trade show. Baer later described Touch Me as having “Nice gameplay. Terrible execution. Visually boring. Miserable, rasping sounds.” They improved the concept by using a Texas Instruments TMS 1000 microcontroller, redesigning it as a portable unit, and selecting four harmonious tones based on the notes a bugle can play (so any sequence would sound pleasant). They filed for a patent in 1977 (U.S. Patent 4,207,087, “Microcomputer controlled game,” granted in 1980). Milton Bradley licensed the design, refined the prototype from a rectangular box into the iconic circular “saucer” shape, added difficulty levels, and renamed it Simon after the children’s game “Simon Says.” Milton Bradley launched Simon on May 15, 1978, with a midnight promotional event at the famous New York disco Studio 54, where a large model hung over the dance floor. It retailed for about $24.95 (roughly $120 in today’s dollars) and became one of the top-selling toys of the 1978 Christmas season, with shortages reported in stores. It went on to sell millions of units and became a pop-culture symbol of the era. Milton Bradley (later acquired by Hasbro in 1984) released several variants: •Super Simon (1979) — a larger rectangular two-player version. •Pocket Simon (1980) — a smaller portable version. •Later editions included Simon Squared (double-sided), motion-controlled versions like Simon Air, wearable Simon Optix, and many modern updates with new features and colors. Simon helped popularize electronic handheld games and demonstrated that microprocessor-based toys could succeed with the public. Its simple, addictive gameplay has endured for decades, with new versions still sold by Hasbro. Simon was among the first widely successful consumer microcontroller toys/games. The original design is held in collections such as the Smithsonian’s National Museum of American History and The Strong National Museum of Play.

Brian Roemmele

11,471 次观看 • 1 个月前