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

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

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

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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”

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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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“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🙄

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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🍁🐿💫

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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

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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 🦅

51,569 görüntüleme • 24 gün önce

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 🕹

101,076 görüntüleme • 7 ay 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.

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Gipp 🦅

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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

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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

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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

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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

36,201 görüntüleme • 1 ay önce

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

471,972 görüntüleme • 1 yıl önce

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

198,049 görüntüleme • 1 ay önce

SqueezeMe: Efficient Gaussian Avatars for VR TL;DR: Three of these Gaussian Splatting avatars can be run at 72 frames per second. It runs locally on a Meta Quest 3 VR headset. Abstract (excerpt): While previous methods require a desktop GPU for real-time inference of a single avatar, we aim to squeeze multiple Gaussian avatars onto a portable virtual reality headset with real-time drivable inference. We begin by training a previous work, Animatable Gaussians, on a high-quality dataset captured with 512 cameras. The Gaussians are animated by controlling a base set of Gaussians with linear blend skinning (LBS) motion, and then further adjusting them with a neural network decoder to correct their appearance. When deploying the model on a Meta Quest 3 VR headset, we find two major computational bottlenecks: the decoder and the rendering. To accelerate the decoder, we train the Gaussians in UV-space instead of pixel-space and distill the decoder to a single neural network layer. Further, we discover that neighborhoods of Gaussians can share a single corrective from the decoder, providing an additional speedup. To accelerate the rendering, we develop a custom pipeline in Vulkan that runs on the mobile GPU. Putting it all together, we run 3 Gaussian avatars concurrently at 72 FPS on a VR headset.

MrNeRF

27,104 görüntüleme • 1 yıl önce

The science behind the incredible 'Acoustics' of ancient amphitheaters : Ancient amphitheaters have long been used as venues for large concerts and events, but how did ancient architects achieve such superb acoustics without today's modern audio equipment and acoustical treatment? In last few decades have seen modern acoustic science employ acoustic simulation software and sophisticated computer models of such open amphitheaters, even though these spaces are known solely from archaeological records and hence virtually reconstructed as acoustic models. Often such computer models are complemented by in situ measurements in some well-preserved ancient theaters using more flexible portable equipment. Recent measurements with audience present show that such near-perfect intelligibility is retained beside increased sound absorption by audience, provided that background noise levels are not excessive. Natural phenomena that made acoustics of ancient amphitheaters so remarkable were a result of simple principles like geometry and use of materials and location made an impact. Engineering and architecture used in these sites enabled sound to propagate through large distances, with clarity, as though one was located just next to the speaker. Amplifying acoustic instruments has been of interest for musicians for centuries, leading to different techniques used at smaller venues and more intimate settings. However, there is something unique about atmosphere created when standing inside an amphitheater from reverberation and resonance that can be heard to witnessing energy expand around you - it's an experience that cannot be replicated elsewhere. So how have ancient technical developments paved way for modern audio technology today in amplification, absorption, diffusion and even 3D soundscapes? Sound travels through air as waves and can be amplified or dampened depending on environment. When sound waves hit a hard surface, like a wall or floor, they bounce back and create echoes. This is what causes reverberation and amplification in large open spaces like amphitheaters. Building design played a crucial role in acoustics of ancient amphitheaters. Curved shape of amphitheater created a natural echo chamber that amplified sounds. Seats were also designed at different heights and distances from stage to create a wave of sound that could be heard at every level of auditorium. Additionally, use of marble and other hard materials throughout structure helped to reflect sound waves. While reflection was important for amplifying sound, too much echo could make it difficult to understand speech or music. For this reason, ancient architects used sound-absorbent materials like curtains, carpets and drapes to absorb excess echoes. Orientation of an amphitheater was also crucial to its acoustics. Venues were often built facing east to west so that performers were bathed in natural light during afternoon. This also helped to create an ideal environment for acoustics, as sound waves would travel in same direction as light. Additionally, orientation of stage and seating areas played a role in creating ideal acoustics. While we can appreciate ingenuity of ancient architects, modern technology has allowed us to understand acoustics of ancient amphitheaters in greater detail. Studies have shown that shape of amphitheater was responsible for up to 50% of its acoustics, with rest being attributed to reverberation, reflection and absorption. We can now understand how ancient venues would have sounded in their prime using computer simulations. Natural phenomena that made acoustics of ancient amphitheaters so remarkable were a result of simple principles like geometry and use of certain materials. Engineers of ancient times unknowingly developed best acoustic structures that are still admired today. 🎥 : A 2nd Century AD, Roman Theater in Calama (Numidia), Algeria 🇩🇿. It allows you to whisper from one end to other. 🎥© cameronazi (IG) #archaeohistories

The science behind the incredible 'Acoustics' of ancient amphitheaters : Ancient amphitheaters have long been used as venues for large concerts and events, but how did ancient architects achieve such superb acoustics without today's modern audio equipment and acoustical treatment? In last few decades have seen modern acoustic science employ acoustic simulation software and sophisticated computer models of such open amphitheaters, even though these spaces are known solely from archaeological records and hence virtually reconstructed as acoustic models. Often such computer models are complemented by in situ measurements in some well-preserved ancient theaters using more flexible portable equipment. Recent measurements with audience present show that such near-perfect intelligibility is retained beside increased sound absorption by audience, provided that background noise levels are not excessive. Natural phenomena that made acoustics of ancient amphitheaters so remarkable were a result of simple principles like geometry and use of materials and location made an impact. Engineering and architecture used in these sites enabled sound to propagate through large distances, with clarity, as though one was located just next to the speaker. Amplifying acoustic instruments has been of interest for musicians for centuries, leading to different techniques used at smaller venues and more intimate settings. However, there is something unique about atmosphere created when standing inside an amphitheater from reverberation and resonance that can be heard to witnessing energy expand around you - it's an experience that cannot be replicated elsewhere. So how have ancient technical developments paved way for modern audio technology today in amplification, absorption, diffusion and even 3D soundscapes? Sound travels through air as waves and can be amplified or dampened depending on environment. When sound waves hit a hard surface, like a wall or floor, they bounce back and create echoes. This is what causes reverberation and amplification in large open spaces like amphitheaters. Building design played a crucial role in acoustics of ancient amphitheaters. Curved shape of amphitheater created a natural echo chamber that amplified sounds. Seats were also designed at different heights and distances from stage to create a wave of sound that could be heard at every level of auditorium. Additionally, use of marble and other hard materials throughout structure helped to reflect sound waves. While reflection was important for amplifying sound, too much echo could make it difficult to understand speech or music. For this reason, ancient architects used sound-absorbent materials like curtains, carpets and drapes to absorb excess echoes. Orientation of an amphitheater was also crucial to its acoustics. Venues were often built facing east to west so that performers were bathed in natural light during afternoon. This also helped to create an ideal environment for acoustics, as sound waves would travel in same direction as light. Additionally, orientation of stage and seating areas played a role in creating ideal acoustics. While we can appreciate ingenuity of ancient architects, modern technology has allowed us to understand acoustics of ancient amphitheaters in greater detail. Studies have shown that shape of amphitheater was responsible for up to 50% of its acoustics, with rest being attributed to reverberation, reflection and absorption. We can now understand how ancient venues would have sounded in their prime using computer simulations. Natural phenomena that made acoustics of ancient amphitheaters so remarkable were a result of simple principles like geometry and use of certain materials. Engineers of ancient times unknowingly developed best acoustic structures that are still admired today. 🎥 : A 2nd Century AD, Roman Theater in Calama (Numidia), Algeria 🇩🇿. It allows you to whisper from one end to other. 🎥© cameronazi (IG) #archaeohistories

Archaeo - Histories

28,233 görüntüleme • 1 yıl önce

How to set up Claude Cowork so it actually works like an AI chief of staff (not just another chatbot): 1. Most people open Cowork, type a message, and get generic output. It's not a Claude problem. It's a setup problem. Cowork needs context before it can help you. Who you are. How you work. What you're building. Your team. Your priorities. Give it that, and every session feels like picking up a conversation with an executive assistant. 2. The setup has three layers: a) Global instructions (who you are, how you work, what Claude should never do). b) Connectors (Slack, Gmail, Google Calendar, Notion) c) And a folder structure on your computer that acts as Claude's long-term memory. That combination is what takes it from generic to personalized. 3. Skills are the real leverage. A skill is a markdown file that tells Claude exactly how to do one thing well. Write my newsletter. Coach me on a decision. Review a case study. Each skill lives in its own folder with context, examples, and a definition of what success looks like. 4. We built a CEO coach skill in the video below. Gave it business context, leadership style, company goals. Then tested it with a real decision: should we increase our newsletter from once to twice a week? It came back with trade-offs, second-order consequences, and risk assessment. 5. Then we built a multi-agent advisory board. Five subagents, each with a defined persona: a) the operator b) the skeptic c) the customer advocate d) the finance partner e) the legal/risk advisor. You feed it a decision. Each agent evaluates independently. The main agent synthesizes the feedback. It's like having a board meeting on demand. 6. Third skill: a thought leadership content pipeline. Topic scoring, idea capture, distribution cadence, tone calibration. All built from your actual expertise and audience. Designed so an executive can go from idea to published post without starting from scratch every time. 7. The workspace map is what ties it all together. It's a top-level file that shows Claude how to navigate your entire setup. Which folders exist, what skills live where, how to invoke them. Without it, Claude has to search for everything. With it, Claude goes straight to what it needs. 8. Everything you build is portable. The folder structure works in Cowork, Claude Code, and Codex. Push it to a private GitHub repo and you can access it from your phone through Claude Code, or use Claude Dispatch. 9. The pattern is repeatable. Pick a task you do often. Create a folder. Build a skill. Add examples of what success looks like, and what a bad output looks like. Test it. Workshop it. Move on to the next one. Each skill is like onboarding a new employee who never forgets and never needs to be re-trained. The people who invest in this setup now are the ones who will have a 10x advantage when these tools get even better. And they're getting better fast. I sat down with Alex Lieberman on Human In The Loop and we built all three of these live from scratch. Full breakdown in the video below.. I tried to explain this as clear as possible for my non-developer crowd. Send it to someone who should be using Cowork but isn't yet. Or bookmark it to level up when you're ready. Watch 👇🏼

How to set up Claude Cowork so it actually works like an AI chief of staff (not just another chatbot): 1. Most people open Cowork, type a message, and get generic output. It's not a Claude problem. It's a setup problem. Cowork needs context before it can help you. Who you are. How you work. What you're building. Your team. Your priorities. Give it that, and every session feels like picking up a conversation with an executive assistant. 2. The setup has three layers: a) Global instructions (who you are, how you work, what Claude should never do). b) Connectors (Slack, Gmail, Google Calendar, Notion) c) And a folder structure on your computer that acts as Claude's long-term memory. That combination is what takes it from generic to personalized. 3. Skills are the real leverage. A skill is a markdown file that tells Claude exactly how to do one thing well. Write my newsletter. Coach me on a decision. Review a case study. Each skill lives in its own folder with context, examples, and a definition of what success looks like. 4. We built a CEO coach skill in the video below. Gave it business context, leadership style, company goals. Then tested it with a real decision: should we increase our newsletter from once to twice a week? It came back with trade-offs, second-order consequences, and risk assessment. 5. Then we built a multi-agent advisory board. Five subagents, each with a defined persona: a) the operator b) the skeptic c) the customer advocate d) the finance partner e) the legal/risk advisor. You feed it a decision. Each agent evaluates independently. The main agent synthesizes the feedback. It's like having a board meeting on demand. 6. Third skill: a thought leadership content pipeline. Topic scoring, idea capture, distribution cadence, tone calibration. All built from your actual expertise and audience. Designed so an executive can go from idea to published post without starting from scratch every time. 7. The workspace map is what ties it all together. It's a top-level file that shows Claude how to navigate your entire setup. Which folders exist, what skills live where, how to invoke them. Without it, Claude has to search for everything. With it, Claude goes straight to what it needs. 8. Everything you build is portable. The folder structure works in Cowork, Claude Code, and Codex. Push it to a private GitHub repo and you can access it from your phone through Claude Code, or use Claude Dispatch. 9. The pattern is repeatable. Pick a task you do often. Create a folder. Build a skill. Add examples of what success looks like, and what a bad output looks like. Test it. Workshop it. Move on to the next one. Each skill is like onboarding a new employee who never forgets and never needs to be re-trained. The people who invest in this setup now are the ones who will have a 10x advantage when these tools get even better. And they're getting better fast. I sat down with Alex Lieberman on Human In The Loop and we built all three of these live from scratch. Full breakdown in the video below.. I tried to explain this as clear as possible for my non-developer crowd. Send it to someone who should be using Cowork but isn't yet. Or bookmark it to level up when you're ready. Watch 👇🏼

JJ Englert

568,065 görüntüleme • 4 ay önce

Tiny drone hits invisible mode by twisting faster than eye can detect | Omar Kardoudi, New Atlas Engineers at Northwestern University have built a drone that vanishes without camouflage or transparent panels. Its trick is spinning so fast that your eyes simply give up trying to focus, a stealth edge that could turn surveillance into something almost invisible. The aircraft, nicknamed Phantom Twist, rotates up to 25 times per second, a rate that outpaces how quickly our visual system can process sharp detail. Instead of true invisibility, the drone dissolves into a faint, ghostly blur that blends into whatever is behind it. The work, led by associate professor Michael Rubenstein, was presented on July 16 at the Robotics: Science and Systems 2026 conference in Sydney, Australia, under the title Computational Design of a Low-Visibility UAV Using Human-Aligned Perceptual Metric. "Most efforts to hide drones focus on making them look like their surroundings," says Rubenstein. "Instead, we asked whether we could design the drone itself around the way humans perceive motion. This idea of low visibility through persistent motion is something few people have explored." That distinction matters because drones are increasingly used to watch wildlife, check aging infrastructure, or survey wetlands, but their mere presence changes the behavior of whatever they're observing. Birds scatter, animals flee, people act differently. A drone that's hard to spot could do the same job without that side effect. Prior attempts at motion-based concealment offer useful context here. The Northwestern paper points to an earlier project nicknamed the Boomerang Drone, covered in a 2006 New York Times Magazine piece, which tried a similar high-speed rotation trick but couldn't spin fast enough to fully exploit the blur effect, leaving it largely visible. The paper authors also trace the broader idea of active concealment back to the "Yehudi light," a counter-illumination project developed by the National Defense Research Committee in 1944 to hide Allied sea-search aircraft from enemy view. The Phantom Twist itself takes a very different shape from those earlier attempts. Rather than a typical quadcopter with four separate rotors, it runs on a single motor and a single propeller, with the propeller spinning one way while the rest of the drone's body spins the opposite way. "For a typical quadrotor drone, the propellers are spinning, but the robot is stationary," Rubenstein explains. "So, you still see its body. For our drone, the whole thing is rotating, so there are no stationary parts." To reach that layout, the team's computer model generated roughly 20,000 possible drone configurations capable of stable flight, then used artificial intelligence and optimization algorithms to repeatedly rearrange the motor, propeller, circuit board, counterweight, and batteries. Each design was simulated spinning mid-flight and overlaid on 100 real-world backgrounds, then scored by a perceptual model built to mimic human vision, where a lower score meant better camouflage. The 500 best-scoring designs were run through the optimizer again to squeeze out further gains before a final version was built. Emma Alexander, an assistant professor of computer science and one of the study's co-authors, explains the underlying physics. "The human eye takes time to accumulate signals, roughly analogous to the exposure time of a camera," she says. "When an object spins quickly, we perceive it as blurring out and losing distinct features. Because this new drone is almost entirely transparent, its few opaque components are visually averaged with the background for an overall appearance of a slight haze." According to the paper's visibility metric, the finished drone is about 10 times harder to spot than a standard quadcopter. But the spinning trick has real limits that make this drone far from being completely unnoticeable. The propeller still makes an audible whir that gives the drone away even when the eye can't, and its support wires and rods remain partly visible. The paper's authors suggest future versions could lean on more transparent materials and quieter propulsion, edging the drone ever closer to true – and somewhat scary – invisibility. After all, the same trick making a drone less impactful on wildlife could just as easily help it sneak around for reasons that aren't so friendly.

Tiny drone hits invisible mode by twisting faster than eye can detect | Omar Kardoudi, New Atlas Engineers at Northwestern University have built a drone that vanishes without camouflage or transparent panels. Its trick is spinning so fast that your eyes simply give up trying to focus, a stealth edge that could turn surveillance into something almost invisible. The aircraft, nicknamed Phantom Twist, rotates up to 25 times per second, a rate that outpaces how quickly our visual system can process sharp detail. Instead of true invisibility, the drone dissolves into a faint, ghostly blur that blends into whatever is behind it. The work, led by associate professor Michael Rubenstein, was presented on July 16 at the Robotics: Science and Systems 2026 conference in Sydney, Australia, under the title Computational Design of a Low-Visibility UAV Using Human-Aligned Perceptual Metric. "Most efforts to hide drones focus on making them look like their surroundings," says Rubenstein. "Instead, we asked whether we could design the drone itself around the way humans perceive motion. This idea of low visibility through persistent motion is something few people have explored." That distinction matters because drones are increasingly used to watch wildlife, check aging infrastructure, or survey wetlands, but their mere presence changes the behavior of whatever they're observing. Birds scatter, animals flee, people act differently. A drone that's hard to spot could do the same job without that side effect. Prior attempts at motion-based concealment offer useful context here. The Northwestern paper points to an earlier project nicknamed the Boomerang Drone, covered in a 2006 New York Times Magazine piece, which tried a similar high-speed rotation trick but couldn't spin fast enough to fully exploit the blur effect, leaving it largely visible. The paper authors also trace the broader idea of active concealment back to the "Yehudi light," a counter-illumination project developed by the National Defense Research Committee in 1944 to hide Allied sea-search aircraft from enemy view. The Phantom Twist itself takes a very different shape from those earlier attempts. Rather than a typical quadcopter with four separate rotors, it runs on a single motor and a single propeller, with the propeller spinning one way while the rest of the drone's body spins the opposite way. "For a typical quadrotor drone, the propellers are spinning, but the robot is stationary," Rubenstein explains. "So, you still see its body. For our drone, the whole thing is rotating, so there are no stationary parts." To reach that layout, the team's computer model generated roughly 20,000 possible drone configurations capable of stable flight, then used artificial intelligence and optimization algorithms to repeatedly rearrange the motor, propeller, circuit board, counterweight, and batteries. Each design was simulated spinning mid-flight and overlaid on 100 real-world backgrounds, then scored by a perceptual model built to mimic human vision, where a lower score meant better camouflage. The 500 best-scoring designs were run through the optimizer again to squeeze out further gains before a final version was built. Emma Alexander, an assistant professor of computer science and one of the study's co-authors, explains the underlying physics. "The human eye takes time to accumulate signals, roughly analogous to the exposure time of a camera," she says. "When an object spins quickly, we perceive it as blurring out and losing distinct features. Because this new drone is almost entirely transparent, its few opaque components are visually averaged with the background for an overall appearance of a slight haze." According to the paper's visibility metric, the finished drone is about 10 times harder to spot than a standard quadcopter. But the spinning trick has real limits that make this drone far from being completely unnoticeable. The propeller still makes an audible whir that gives the drone away even when the eye can't, and its support wires and rods remain partly visible. The paper's authors suggest future versions could lean on more transparent materials and quieter propulsion, edging the drone ever closer to true – and somewhat scary – invisibility. After all, the same trick making a drone less impactful on wildlife could just as easily help it sneak around for reasons that aren't so friendly.

Owen Gregorian

21,204 görüntüleme • 6 gün önce

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman

Varun

169,177 görüntüleme • 1 yıl önce