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Someone built an Original Xbox emulator for Android. It’s called X1 BOX, based on the xemu project. You can run classic Xbox games directly on your phone. Features: • Built-in setup wizard • Game library with cover grid • Online box art lookup • Virtual Xbox touch controller •... show more

Techjunkie Aman

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726,835 views • 6 months ago •via X (Twitter)

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The Amiko app is live on the Solana dApp store, and it’s our biggest release yet. Your Amiko twin doesn’t live at your desk anymore. Give your agent a task on the train. Run a compatibility profile when you meet someone. Do research, write code, build in the creative studio, whatever you need, from wherever you are. No laptop required. No waiting until you get home. Solanamobile users get two things Android and iOS won’t have at launch: Amiko token and crypto integration and on-device AI inference. Your twin runs locally on your phone if you want it to. Your behavioural profile, your data, your work, your twin. All on your hardware. AMIKO runs on OpenHermit, our own open-source agent runtime that we built in-house and released to the community. Most agent systems are designed for one agent talking to one person. OpenHermit is built for something different: agents talking to each other, coordinating across tasks, and collaborating with multiple humans simultaneously. That’s what makes features like compatibility profiling and multi-agent workflows actually work. We built it because nothing that existed was designed for this. Android and iOS are coming. Crypto integration and on-device AI are Solana Mobile exclusives. Most AI answers your questions. Amiko is an extension of you. Download →

AMIKO

124,860 views • 3 months ago

Did you know that Ace Combat 6: Fires Of Liberation, on the Xbox 360, includes Idolm@ster themed aircraft skins? Which alter the performance of the aircraft and give them fun gameplay quirks and gimmicks. Project Aces has not done this in any Ace Combat game since however. It's worth noting though the fame of your character in Ace Combat 8: Wings Of Theve is a myth created by propaganda campaigns on social media. So it would be extremely funny, and in some ways entirely correct feeling, to see themed skins again but with famous vtubers. What do you guys think?

Did you know that Ace Combat 6: Fires Of Liberation, on the Xbox 360, includes Idolm@ster themed aircraft skins? Which alter the performance of the aircraft and give them fun gameplay quirks and gimmicks. Project Aces has not done this in any Ace Combat game since however. It's worth noting though the fame of your character in Ace Combat 8: Wings Of Theve is a myth created by propaganda campaigns on social media. So it would be extremely funny, and in some ways entirely correct feeling, to see themed skins again but with famous vtubers. What do you guys think?

HoraceVT 🪄🎬

52,163 views • 8 months ago

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.

This is what Windows should’ve been. Zorin OS is a Linux distro made for normal users. No learning curve. Feels familiar from day one. You get: • Windows/macOS-style layouts • Smooth, fast performance • No ads, no bloat, no tracking • Built-in apps (ready out of the box) More: • Runs on PCs up to 10–15 years old • Lightweight but powerful • Secure + virus-resistant • Software store with thousands of apps • Can run many Windows apps (.exe support) • Easy dual-boot with Windows Plus: • Gaming support (Steam, Proton, Lutris) • GPU drivers pre-installed + optimized • Works great on laptops + desktops • Try it directly from USB (no install needed) • Long-term updates (years of support) Extra: • LibreOffice included (MS Office alternative) • Multiple desktop layouts (switch anytime) • Zorin Connect (phone ↔ PC integration) • Works offline, no account required No tweaking. No terminal needed. Just install → use.

Techjunkie Aman

24,507 views • 5 months ago

This app uses AirDrop to send files from your Android phone to your Macbook! Yes, it actually uses AirDrop. That means you don't have to install ANYTHING on your Mac to send files from your Android phone! Here's a video of a Galaxy Z Flip 5 AirDropping a file to a Macbook running macOS Ventura 13.5.1. (Thanks to u/FragmentedChicken for testing this app for me and sharing the video!) A few months ago, Twitter user @Linus13499209 brought an app called WarpShare to my attention. WarpShare is an app made by the developers of MoKee, an AOSP-based custom ROM that was popular in China. Since MoKee wasn't as popular outside of China, it seems the existence of their WarpShare app slipped under the radar. I was skeptical about whether it would work at all. Grishka, the developer of NearDrop, an open source port of Google's Nearby Share to macOS, told me that they were under the assumption that AirDrop requires the use of AWDL (Apple Wireless Direct Link, Apple's proprietary WiFi-based protocol) to communicate both ways. However, it seems that AWDL is only required for your Android phone to be discoverable by your Mac (ie. to send files from your Mac to your Android phone) but not the other way around. Because of this, though, WarpShare only supports sending files from Android to Mac but not vice versa. Your Mac also needs to have AirDrop discoverability set to "everyone" for this to work, as "contacts-only" requires Apple-signed certificates. Plus, it also doesn't support sending files from Android to iPhones or iPads, even when "everyone" mode is enabled. Still, if you find other Android --> Mac file sharing options to be lackluster, give WarpShare a try! The fact that it works at all is incredible, which is why I'm sharing this news here. If you want to download WarpShare on your Android device, you'll need to compile the app from its source code. If you're a Patron/X subscriber, however, I will share my compiled APK with you. WarpShare source code:

This app uses AirDrop to send files from your Android phone to your Macbook! Yes, it actually uses AirDrop. That means you don't have to install ANYTHING on your Mac to send files from your Android phone! Here's a video of a Galaxy Z Flip 5 AirDropping a file to a Macbook running macOS Ventura 13.5.1. (Thanks to u/FragmentedChicken for testing this app for me and sharing the video!) A few months ago, Twitter user @Linus13499209 brought an app called WarpShare to my attention. WarpShare is an app made by the developers of MoKee, an AOSP-based custom ROM that was popular in China. Since MoKee wasn't as popular outside of China, it seems the existence of their WarpShare app slipped under the radar. I was skeptical about whether it would work at all. Grishka, the developer of NearDrop, an open source port of Google's Nearby Share to macOS, told me that they were under the assumption that AirDrop requires the use of AWDL (Apple Wireless Direct Link, Apple's proprietary WiFi-based protocol) to communicate both ways. However, it seems that AWDL is only required for your Android phone to be discoverable by your Mac (ie. to send files from your Mac to your Android phone) but not the other way around. Because of this, though, WarpShare only supports sending files from Android to Mac but not vice versa. Your Mac also needs to have AirDrop discoverability set to "everyone" for this to work, as "contacts-only" requires Apple-signed certificates. Plus, it also doesn't support sending files from Android to iPhones or iPads, even when "everyone" mode is enabled. Still, if you find other Android --> Mac file sharing options to be lackluster, give WarpShare a try! The fact that it works at all is incredible, which is why I'm sharing this news here. If you want to download WarpShare on your Android device, you'll need to compile the app from its source code. If you're a Patron/X subscriber, however, I will share my compiled APK with you. WarpShare source code:

Mishaal Rahman

1,290,540 views • 3 years ago

Here's my thoughts on the Steam Controller after using it for about 50+ hours of gaming Does it replace mouse & keyboard? Yes — desktop navigation, YouTube, on-screen keyboard all work seamlessly Minor hiccups in Big Picture mode / SteamOS launchers, but daily use is solid Trackpads Way more accurate than joysticks for aiming — genuinely feels like M&K movement Pairing trackpad + gyro is the sweet spot for FPS games Joystick touchpads are cool in theory, but dead zone issues make them hard to commit to Grip Sense The real standout feature — programmed an insta-180 on left-hand release Genuinely useful once you find your use case Build & Ergonomics No button rattle, feels solid — not premium, but not cheap either Joysticks sit close together and it's chunky... but you stop noticing within 5 minutes Xbox One controller edges it on raw ergonomics Analysis Paralysis is REAL So many customizable features (gyro, trackpads, grip sense, back buttons) that you'll spend more time in settings than actually gaming Is $100 justified? Honestly? It's a luxury, not a necessity If you're a PC/Steam Machine couch gamer who will use the features — absolutely yes Casual Gamer? You could do without but its nice to have

Here's my thoughts on the Steam Controller after using it for about 50+ hours of gaming Does it replace mouse & keyboard? Yes — desktop navigation, YouTube, on-screen keyboard all work seamlessly Minor hiccups in Big Picture mode / SteamOS launchers, but daily use is solid Trackpads Way more accurate than joysticks for aiming — genuinely feels like M&K movement Pairing trackpad + gyro is the sweet spot for FPS games Joystick touchpads are cool in theory, but dead zone issues make them hard to commit to Grip Sense The real standout feature — programmed an insta-180 on left-hand release Genuinely useful once you find your use case Build & Ergonomics No button rattle, feels solid — not premium, but not cheap either Joysticks sit close together and it's chunky... but you stop noticing within 5 minutes Xbox One controller edges it on raw ergonomics Analysis Paralysis is REAL So many customizable features (gyro, trackpads, grip sense, back buttons) that you'll spend more time in settings than actually gaming Is $100 justified? Honestly? It's a luxury, not a necessity If you're a PC/Steam Machine couch gamer who will use the features — absolutely yes Casual Gamer? You could do without but its nice to have

Cyber Dopamine

15,269 views • 3 months ago

this creator just built a zero-delay auto-aim system on an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.

this creator just built a zero-delay auto-aim system on an $8 microcontroller he deployed a custom local AI algorithm on a cheap ESP-32 to track human movement with absolute 0-pixel accuracy. the system completely eliminates standard computation delay. it processes the bounding box and moves the sniper reticle instantly, locking onto the target in real time. the next step is hooking it up to a physical robotic arm. it proves you don't need a massive GPU rig to run complex computer vision. 1. runs locally on a microcontroller 2. local AI inference for zero latency 3. 100% targeting precision when an eight-dollar chip can track movement with zero latency, AI becomes dangerous local infrastructure. this article breaks down exactly how the ESP-32 is powering this physical hardware shift.

ard

1,185,964 views • 1 month ago

Run Gemma 4 26B MoE on 8GB VRAM with 250k context at 20+ tokens/sec If you own any 8GB VRAM graphics card, stop what you are doing. Local AI just had its absolute "Holy Shit" moment for budget hardware. Yesterday, I benchmarked Unsloth Gemma 4 12B Q4_K_XL on an 8GB card. The community went wild but immediately demanded more: "Can we run a 25B+ model on budget GPUs?" Today, I’m delivering exactly that. I am running a massive 26B parameter Mixture of Experts (MoE) model locally on a standard 8GB VRAM setup with 250k full native context!. If you own an RTX 3060, 3070, 4060, or any budget GPU with 8GB of VRAM, the local AI paradigm has completely changed. The performance metrics are astonishing: - 20 tokens/sec flat decode throughput. - Stable, flat decode speed even with massive prompts. - I threw a 60k token prompt at it, and it still clocked in at 20 TPS without dropping a single frame. # What about prefill? Yes, Time To First Token (TTFT) is slightly high when swallowing massive contexts. But with a solid 200 tokens/sec prefill speed, the wait is barely noticeable and highly usable. And this is running completely without Multi Token Prediction (MTP) active. How is this possible? It’s the magic of Google's new QAT (Quantization Aware Training) quants for Gemma 4. The model weight file (unsloth gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf) is only 13.2 GB, making it the ultimate local powerhouse. # The Test Setup: CPU: Intel Core i7 RAM: 16GB System RAM GPU: NVIDIA GeForce RTX 4060 Laptop GPU (8GB VRAM) # The Secret Sauce (The -cmoe Flag) To make this work properly on any 8GB card, you must use the -cmoe (CPU MoE) flag in llama.cpp. This flag isolates the heavy MoE expert weights directly to system memory (CPU/RAM) while letting your GPU focus strictly on the Attention layers and the KV Cache. It prevents VRAM spillage and holds the throughput rock solid. # The flags: -m "gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf" -cmoe -c 248000 -v Once running, just open the UI on localhost and toggle the new reasoning lightbulb icon in the text input box to watch the model perform multi step thinking. Are you still running smaller models, or are you ready to scale up your budget local setups? Let's discuss in the replies

Run Gemma 4 26B MoE on 8GB VRAM with 250k context at 20+ tokens/sec If you own any 8GB VRAM graphics card, stop what you are doing. Local AI just had its absolute "Holy Shit" moment for budget hardware. Yesterday, I benchmarked Unsloth Gemma 4 12B Q4_K_XL on an 8GB card. The community went wild but immediately demanded more: "Can we run a 25B+ model on budget GPUs?" Today, I’m delivering exactly that. I am running a massive 26B parameter Mixture of Experts (MoE) model locally on a standard 8GB VRAM setup with 250k full native context!. If you own an RTX 3060, 3070, 4060, or any budget GPU with 8GB of VRAM, the local AI paradigm has completely changed. The performance metrics are astonishing: - 20 tokens/sec flat decode throughput. - Stable, flat decode speed even with massive prompts. - I threw a 60k token prompt at it, and it still clocked in at 20 TPS without dropping a single frame. # What about prefill? Yes, Time To First Token (TTFT) is slightly high when swallowing massive contexts. But with a solid 200 tokens/sec prefill speed, the wait is barely noticeable and highly usable. And this is running completely without Multi Token Prediction (MTP) active. How is this possible? It’s the magic of Google's new QAT (Quantization Aware Training) quants for Gemma 4. The model weight file (unsloth gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf) is only 13.2 GB, making it the ultimate local powerhouse. # The Test Setup: CPU: Intel Core i7 RAM: 16GB System RAM GPU: NVIDIA GeForce RTX 4060 Laptop GPU (8GB VRAM) # The Secret Sauce (The -cmoe Flag) To make this work properly on any 8GB card, you must use the -cmoe (CPU MoE) flag in llama.cpp. This flag isolates the heavy MoE expert weights directly to system memory (CPU/RAM) while letting your GPU focus strictly on the Attention layers and the KV Cache. It prevents VRAM spillage and holds the throughput rock solid. # The flags: -m "gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf" -cmoe -c 248000 -v Once running, just open the UI on localhost and toggle the new reasoning lightbulb icon in the text input box to watch the model perform multi step thinking. Are you still running smaller models, or are you ready to scale up your budget local setups? Let's discuss in the replies

Alok

292,770 views • 3 months ago

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

You don't need a GPU for fast studio grade voice cloning anymore. Qwen3 TTS (1.7B Q4_K_M) + mainline llama.cpp is officially the fastest way to generate zero shot voice clones using 100% pure CPU execution. Following up on my last post where we ran the Q8 model on a GPU, we just took local C++ voice synthesis a massive step further. The open source community quantized Alibaba's SOTA Qwen3 TTS model down to Q4_K_M GGUF, completely freeing local audio pipelines from dedicated graphics hardware. Here is the real world benchmark and hardware breakdown of running SOTA voice cloning on CPU: # Architecture & Model Setup Using Qwen3-TTS-12Hz-1.7B-Base-Q4_K_M.gguf paired with the 8 bit multimodal projector (mmproj-Q8_0.gguf), llama.cpp executes the entire pipeline in pure C++. No PyTorch, no CUDA dependencies, and no VRAM bottlenecks. # Real-World Memory Footprint - Baseline RAM: 1.6 GB system idle. - Peak Generation RAM: 8 GB RAM during active voice synthesis. - Requirement: Any basic machine with at least 8 GB of system RAM can run this easily. # Real World CPU Benchmarks - Google Colab Free Tier (Throttled 2 Core CPU): Synthesizes a 5 sec studio quality audio clip (~8 words) in 45 seconds. - Modern Consumer CPU (Intel i5/i7 13th/14th Gen or AMD Ryzen 7000/9000): generation should drop to 5 to 20 seconds (nearly 1:1 real-time generation speed!). # Zero Shot Voice Cloning Quality Pass any 5 to 20 second .wav audio sample to the C++ engine using the --tts-speaker-file flag. It yields clean, natural sounding cloned speech with virtually zero quality loss compared to unquantized FP16 weights. To make testing seamless, I built an updated zero config Google Colab notebook. It pulls the official pre built llama.cpp CPU binaries (zero compilation time!) launches a live Gradio web app right in your browser. Record a 5 second clip from your mic (or drop a .mp3, .wav file), type text, and generate cloned audio on CPU. Native C++ audio models are making edge based, offline AI voice agents a reality. Links to the free Q4 CPU Colab notebook and the Q4_K_M GGUF HuggingFace repository are in the replies below! Which models have you been running on your CPUs? What CPU hardware are you using for local inference?

Alok

103,956 views • 1 month ago

claude fable 5 is live. spawn 5.0 was built with it: 1,687 prompts, 102 sessions, my job shifted from architecture to judging taste. what we built, each of which would've been at least a month with a whole team on opus: — a from-scratch physics engine (mantle) that rivals rapier, testable in a day as a side thread — clustered froxel lighting: 8 lights to 1,000+ fully dynamic ("it's stupid fast" — creator of threejs) — realtime diffuse GI on webgpu, on your phone (landing in the next update) — million-particle gpu vfx with a shader architecture beyond what unreal and unity ship — mmo-scale netcode plus, for good measure: an (alpha) native ios app. all of it in about a week. all of it running on mobile. and the list doesn't include half of what we shipped — full changelog in the thread below. and the part the benchmarks won't show you: this model has a wonderful personality. it's genuinely funny. i laughed so hard i cried multiple times, mid-physics-rewrite. the genius and the character aren't separate features.

claude fable 5 is live. spawn 5.0 was built with it: 1,687 prompts, 102 sessions, my job shifted from architecture to judging taste. what we built, each of which would've been at least a month with a whole team on opus: — a from-scratch physics engine (mantle) that rivals rapier, testable in a day as a side thread — clustered froxel lighting: 8 lights to 1,000+ fully dynamic ("it's stupid fast" — creator of threejs) — realtime diffuse GI on webgpu, on your phone (landing in the next update) — million-particle gpu vfx with a shader architecture beyond what unreal and unity ship — mmo-scale netcode plus, for good measure: an (alpha) native ios app. all of it in about a week. all of it running on mobile. and the list doesn't include half of what we shipped — full changelog in the thread below. and the part the benchmarks won't show you: this model has a wonderful personality. it's genuinely funny. i laughed so hard i cried multiple times, mid-physics-rewrite. the genius and the character aren't separate features.

jacob

55,515 views • 3 months ago

MOST PEOPLE DON’T KNOW THIS IS EVEN POSSIBLE. You can swap your face live on camera in real-time using just ONE image. OPEN SOURCE. FREE TO INSTALL. No expensive tools, studio setup or complex pipelines. Real-time face swap. Live webcam. VIDEO DEEPFAKE. Here is what is going on. Most creators struggle with content production. You need editing, VFX tools, time, and skills to create something engaging. The problem has always been this: AI face swap tools are slow, offline, or require heavy editing workflows. Upload → wait → render → export → repeat. Someone just killed that entire workflow. It is called Deep Live Cam. You connect a single image to your webcam, and it swaps your face live - instantly. No rendering. No waiting. No editing. And then it acts in real time. swaps faces live on webcam or video supports multiple faces at once keeps natural expressions with mouth masking works with CPU, GPU, or Mac lets you stream, record, or create content instantly You can literally: go live as anyone create viral memes in seconds run live shows with different identities replace actors in videos in real time prank, entertain, or build content at scale Professional studios spend thousands on VFX pipelines to do this. This does it in seconds. Someone built a real-time deepfake engine… and put it on the internet for free.

MOST PEOPLE DON’T KNOW THIS IS EVEN POSSIBLE. You can swap your face live on camera in real-time using just ONE image. OPEN SOURCE. FREE TO INSTALL. No expensive tools, studio setup or complex pipelines. Real-time face swap. Live webcam. VIDEO DEEPFAKE. Here is what is going on. Most creators struggle with content production. You need editing, VFX tools, time, and skills to create something engaging. The problem has always been this: AI face swap tools are slow, offline, or require heavy editing workflows. Upload → wait → render → export → repeat. Someone just killed that entire workflow. It is called Deep Live Cam. You connect a single image to your webcam, and it swaps your face live - instantly. No rendering. No waiting. No editing. And then it acts in real time. swaps faces live on webcam or video supports multiple faces at once keeps natural expressions with mouth masking works with CPU, GPU, or Mac lets you stream, record, or create content instantly You can literally: go live as anyone create viral memes in seconds run live shows with different identities replace actors in videos in real time prank, entertain, or build content at scale Professional studios spend thousands on VFX pipelines to do this. This does it in seconds. Someone built a real-time deepfake engine… and put it on the internet for free.

Kanika

17,835 views • 4 months ago

🌟 "SHOULD I BUY AN IPHONE FOR TRACKING?" 🌟 tl;dr at bottom I've been using a facecam and Nvidia tracking for a long time and upgrading to a used iphone 13 combined with vbridger, the difference is HUGE. Here is my take on it! Why is Facecam > iPhone? ✅️ More affordable, esp for those using android phones ✅️ More convenient. If you launch Vtubestudio, there's a setting where your webcam automatically turns on, which is great. ✅️ Can track pretty well in the dark IF you already have a good webcam for night tracking. ❌️❌️ Stiff tracking at times ❌️ Not good at tracking specific mouth movement Why iPhone > Facecam? ✅️✅️ You can make the most of your model, since movement along the X and Y axes are a lot more accurate and wider. Also tracks eyes and overall face better. ✅️ More EXPRESSIONS. If your rigging allows for it, things like cheek puff, and tongue are able to be tracked. As far as I know, I cannot do this on facecam. ❌️❌️ WAY more expensive or requires that you have an iPhone already. Needs more set-up (need phone stand right in front of you, need to hook your phone up to a charger at all times, phone could possibly overheat as well if it's old, so you might need a cooler). TL;DR For me, if you have an extra 200 to spare for WAY better tracking, I would 1000% recommend buying a used iPhone on Amazon. iPhone X is the BARE minumum, I would recommend 12/13 so that your phone does not overheat. I do not need to use a cooler for my used iPhone 13. Being able to use my rigging to its fullest makes the model feel so so so different (in a good way). Feel free to reply with any questions, I will try to answer them!

🌟 "SHOULD I BUY AN IPHONE FOR TRACKING?" 🌟 tl;dr at bottom I've been using a facecam and Nvidia tracking for a long time and upgrading to a used iphone 13 combined with vbridger, the difference is HUGE. Here is my take on it! Why is Facecam > iPhone? ✅️ More affordable, esp for those using android phones ✅️ More convenient. If you launch Vtubestudio, there's a setting where your webcam automatically turns on, which is great. ✅️ Can track pretty well in the dark IF you already have a good webcam for night tracking. ❌️❌️ Stiff tracking at times ❌️ Not good at tracking specific mouth movement Why iPhone > Facecam? ✅️✅️ You can make the most of your model, since movement along the X and Y axes are a lot more accurate and wider. Also tracks eyes and overall face better. ✅️ More EXPRESSIONS. If your rigging allows for it, things like cheek puff, and tongue are able to be tracked. As far as I know, I cannot do this on facecam. ❌️❌️ WAY more expensive or requires that you have an iPhone already. Needs more set-up (need phone stand right in front of you, need to hook your phone up to a charger at all times, phone could possibly overheat as well if it's old, so you might need a cooler). TL;DR For me, if you have an extra 200 to spare for WAY better tracking, I would 1000% recommend buying a used iPhone on Amazon. iPhone X is the BARE minumum, I would recommend 12/13 so that your phone does not overheat. I do not need to use a cooler for my used iPhone 13. Being able to use my rigging to its fullest makes the model feel so so so different (in a good way). Feel free to reply with any questions, I will try to answer them!

Minori 🎀🍰💢 || bakaneko vampire :3

309,697 views • 2 years ago

React Native now has its own shadcn/ui equivalent — introducing 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜. If you love the flexibility of copying customisable components directly into your project (avoiding heavy, dependency-laden packages), NativeUI is designed for you. 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜 offers beautifully crafted, accessible components tailored for React Native, following the same copy-paste philosophy as shadcn/ui. Built with 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 for fast, declarative, and flexible styling optimised for React Native. ➡️ 𝗖𝗼𝗽𝘆 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗰𝗼𝗱𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 — no black-box dependencies required. ➡️ 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁, supporting screen readers and keyboard navigation, and designed to align with native iOS and Android UX patterns. ➡️ 𝗙𝘂𝗹𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝘃𝗲𝗿 𝘆𝗼𝘂𝗿 𝗨𝗜 without rebuilding common elements like buttons, inputs, or sliders from scratch. ➡️ 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗹𝗲 𝘄𝗶𝘁𝗵 𝗘𝘅𝗽𝗼 𝗮𝗻𝗱 𝘃𝗮𝗻𝗶𝗹𝗹𝗮 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, but not yet integrated with Tamagui’s styling system (future support may be planned). ➡️ 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗲𝗺𝗶𝗻𝗴 𝘃𝗶𝗮 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 — though you’ll need to wire it up manually using Tailwind variables, context providers, and config files. Note: The term “install” in the documentation refers to using the shadcn CLI (e.g., npx shadcn@latest add component) to fetch and copy component code into your project, not adding a package to your dependencies. NativeUI isn’t a plug-and-play library; it’s a lightweight toolbox that empowers you to shape your UI with precision and control. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲: npm install a pre-built UI kit for speed, or copy/paste NativeUI components for ultimate customisation? #ReactNative #KeyboardUX #MobileDev #OpenSource #JSDev #Performance #iOSDev #KeyboardExtensions #ReactNativeKeyboard #UIUX #shadcn #nativeui

React Native now has its own shadcn/ui equivalent — introducing 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜. If you love the flexibility of copying customisable components directly into your project (avoiding heavy, dependency-laden packages), NativeUI is designed for you. 𝗡𝗮𝘁𝗶𝘃𝗲𝗨𝗜 offers beautifully crafted, accessible components tailored for React Native, following the same copy-paste philosophy as shadcn/ui. Built with 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 for fast, declarative, and flexible styling optimised for React Native. ➡️ 𝗖𝗼𝗽𝘆 𝗰𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁 𝗰𝗼𝗱𝗲 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 — no black-box dependencies required. ➡️ 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗮𝗿𝗲 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁, supporting screen readers and keyboard navigation, and designed to align with native iOS and Android UX patterns. ➡️ 𝗙𝘂𝗹𝗹 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗼𝘃𝗲𝗿 𝘆𝗼𝘂𝗿 𝗨𝗜 without rebuilding common elements like buttons, inputs, or sliders from scratch. ➡️ 𝗖𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗹𝗲 𝘄𝗶𝘁𝗵 𝗘𝘅𝗽𝗼 𝗮𝗻𝗱 𝘃𝗮𝗻𝗶𝗹𝗹𝗮 𝗥𝗲𝗮𝗰𝘁 𝗡𝗮𝘁𝗶𝘃𝗲 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀, but not yet integrated with Tamagui’s styling system (future support may be planned). ➡️ 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝘁𝗵𝗲𝗺𝗶𝗻𝗴 𝘃𝗶𝗮 𝗡𝗮𝘁𝗶𝘃𝗲𝗪𝗶𝗻𝗱 — though you’ll need to wire it up manually using Tailwind variables, context providers, and config files. Note: The term “install” in the documentation refers to using the shadcn CLI (e.g., npx shadcn@latest add component) to fetch and copy component code into your project, not adding a package to your dependencies. NativeUI isn’t a plug-and-play library; it’s a lightweight toolbox that empowers you to shape your UI with precision and control. 𝗪𝗵𝗮𝘁’𝘀 𝘆𝗼𝘂𝗿 𝗽𝗿𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲: npm install a pre-built UI kit for speed, or copy/paste NativeUI components for ultimate customisation? #ReactNative #KeyboardUX #MobileDev #OpenSource #JSDev #Performance #iOSDev #KeyboardExtensions #ReactNativeKeyboard #UIUX #shadcn #nativeui

The React Native Rewind

118,542 views • 1 year ago

Run Gemma 4 26b MTP on 8 GB VRAM GPUs at 25+ tokens/second. Flags included! local llm space is moving at terminal velocity. only 3 days ago google released gemma 4 26b a4b qat quants. more efficient than before, ran on 8gb vram at 20 tok/sec. and now just a few hours ago, mainline llama.cpp merged a massive update and we just shattered our own record. decode throughput went 25-40% up on the same 8 GB VRAM setup! Before MTP: 20 tps -> After MTP: 28 tps! llama.cpp just officially merged PR #23398 ("add Gemma4 MTP"), bringing native Multi-Token Prediction (MTP) support to Gemma 4 models. By running speculative drafting on the same 8GB VRAM RTX 4060 setup, my decode throughput on a 64k context instantly leaped to a blistering 25–27 tokens/sec thats 25-30% increase with the same hardware. Here is the architectural catch you need to know: Unlike the Qwen 3.5 and 3.6 series, which bake the MTP heads directly into the base GGUF, the Gemma 4 MTP head is not built in. You must download a separate, specialized MTP drafter GGUF (the assistant model) to act as the speculator. (I've dropped the download link in the replies). copy and try the exact flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.7 --spec-draft-model gemma-4-26b-A4B-it-assistant-Q4_0.gguf -c 64000 -v n-max 4 and p-min 0.7 is also worth checking out. benchmark on your setup and workflow. if you have a single 8 gb vram nvidia rtx 4060, 3060, 3070, 2080, 2070, grab the MTP drafter GGUF link in the comments and try it yourself. Check it out even if you have asmaller or a larger gpu, such as a single rtx 3090, 4090, 3060, 2060. MTP works for all gemma 4 sizes such as gemma 4 12b, gemma 4 31b etc. but remember to grab the correct mtp draft assistant models respectively. what are you benchmarking today

Run Gemma 4 26b MTP on 8 GB VRAM GPUs at 25+ tokens/second. Flags included! local llm space is moving at terminal velocity. only 3 days ago google released gemma 4 26b a4b qat quants. more efficient than before, ran on 8gb vram at 20 tok/sec. and now just a few hours ago, mainline llama.cpp merged a massive update and we just shattered our own record. decode throughput went 25-40% up on the same 8 GB VRAM setup! Before MTP: 20 tps -> After MTP: 28 tps! llama.cpp just officially merged PR #23398 ("add Gemma4 MTP"), bringing native Multi-Token Prediction (MTP) support to Gemma 4 models. By running speculative drafting on the same 8GB VRAM RTX 4060 setup, my decode throughput on a 64k context instantly leaped to a blistering 25–27 tokens/sec thats 25-30% increase with the same hardware. Here is the architectural catch you need to know: Unlike the Qwen 3.5 and 3.6 series, which bake the MTP heads directly into the base GGUF, the Gemma 4 MTP head is not built in. You must download a separate, specialized MTP drafter GGUF (the assistant model) to act as the speculator. (I've dropped the download link in the replies). copy and try the exact flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf --spec-type draft-mtp --spec-draft-n-max 6 --spec-draft-p-min 0.7 --spec-draft-model gemma-4-26b-A4B-it-assistant-Q4_0.gguf -c 64000 -v n-max 4 and p-min 0.7 is also worth checking out. benchmark on your setup and workflow. if you have a single 8 gb vram nvidia rtx 4060, 3060, 3070, 2080, 2070, grab the MTP drafter GGUF link in the comments and try it yourself. Check it out even if you have asmaller or a larger gpu, such as a single rtx 3090, 4090, 3060, 2060. MTP works for all gemma 4 sizes such as gemma 4 12b, gemma 4 31b etc. but remember to grab the correct mtp draft assistant models respectively. what are you benchmarking today

Alok

200,913 views • 3 months ago

PrusaSlicer 3 on a phone 🤯 A few days ago we released the PrusaSlicer 3.0 preview. You can finally have multiple printers in one project, alongside other cool features. But the new groundwork underneath is also exciting - opening doors that were long closed. Years ago we did the heavy lifting of rewriting the slicer from Perl to C++ -> That code is now now powers every modern desktop 3D printer out there 💪 This time, we rebuilt a lot of the architecture to make the slicer much more modular and platform-agnostic. Let me show you some of our internal prototypes 🧐 📲 PrusaSlicer on Android. Simplified UI for the small screen, but most of the code is shared with desktop. Tablets are powerful today, slicing right on the device makes sense if we get out of the RAMpocalipse. 🌐 PrusaSlicer in the browser (WebAssembly). It slices locally, meaning your files never leave your machine. Browsers are not kind to memory hungry apps though, so this one might hit a wall. We'll see. To be completely clear: these are internal prototypes, NOT product announcements. Desktop 3.0 comes first. This is just to show you that more may be happening under the hood than what you can see (and that may be not limited to PrusaSlicer). Where do you want to slice?

PrusaSlicer 3 on a phone 🤯 A few days ago we released the PrusaSlicer 3.0 preview. You can finally have multiple printers in one project, alongside other cool features. But the new groundwork underneath is also exciting - opening doors that were long closed. Years ago we did the heavy lifting of rewriting the slicer from Perl to C++ -> That code is now now powers every modern desktop 3D printer out there 💪 This time, we rebuilt a lot of the architecture to make the slicer much more modular and platform-agnostic. Let me show you some of our internal prototypes 🧐 📲 PrusaSlicer on Android. Simplified UI for the small screen, but most of the code is shared with desktop. Tablets are powerful today, slicing right on the device makes sense if we get out of the RAMpocalipse. 🌐 PrusaSlicer in the browser (WebAssembly). It slices locally, meaning your files never leave your machine. Browsers are not kind to memory hungry apps though, so this one might hit a wall. We'll see. To be completely clear: these are internal prototypes, NOT product announcements. Desktop 3.0 comes first. This is just to show you that more may be happening under the hood than what you can see (and that may be not limited to PrusaSlicer). Where do you want to slice?

Josef Prusa

30,085 views • 8 days ago

Played Kingdoms of the Dump for 30 hours, here is my review: -The game is a loving homage to classic SNES RPGs like Chrono Trigger and Final Fantasy, perfectly capturing their atmosphere -A tactical turn-based combat system with active elements, reminiscent of Super Mario RPG or more recently Expedition 33 -One of the most unique settings ever in an RPG -Incredible variety of enemies, all beautifully rendered in pixel art (boss design by Look Outside pixel artist) -The game is divided into multiple acts, taking you through a wide variety of regions and kingdoms -It’s full of charm and incredible attention to detail. Heal with rotting items, fight flying jellyshorts, and save using toilet paper rolls on toilets. Just lovely. -Fun fact: Game is made by 2 real janitors -The original soundtrack is an absolute banger, instantly transporting you back to the SNES era -There’s a Mode 7-style overworld that you can explore on foot, on a mount, or by airship -The overworld invites exploration and is packed with secrets and hidden areas -What brings the game into the modern era is a dedicated jump button. You can jump pretty much anywhere and explore the world on entirely new levels -There are also various characters, each with unique abilities outside of combat, and you can switch between them at any time -Characters are just lovely -The game is wonderfully written and well paced, full of great story moments and twists, but it’s only available in English at the moment -I would compare the difficulty to Chrono Trigger. It’s challenging but never unfair, and grinding is never necessary -If you die in a battle, you can retry it immediately -Enemies are visible before battle and can be avoided -Fast battles, quick in and out -Various battle themes -Fallen characters and those outside your active party still gain experience -The game is pure indie at heart, over eight years in the making and packed with content -Lots of side quests -Dedicated character quests that explore each character’s backstory -Secret weapons and bosses -Dungeons with puzzle elements -25 hours of story content (more with side stuff) -Only 20 bucks (discount right now) -Great on Steam Deck -Full controller support -Sometimes the jumping sections demand too much precision -I ran into a few bugs during my playtime. The game froze, I got stuck in walls, the music sometimes cut out, and I wasn’t able to use an item at one point -I reached out to the developers, and they have already responded with multiple updates Kingdoms of the Dump is a love letter to an era that produced some of the greatest RPGs of all time. It’s a modern classic, only held back by some technical issues. For me, it’s the best SNES game that was never actually released on a Super Nintendo. Verdict: 9/10 #KingdomsoftheDump 👑 Kingdoms of the Dump - OUT NOW

Played Kingdoms of the Dump for 30 hours, here is my review: -The game is a loving homage to classic SNES RPGs like Chrono Trigger and Final Fantasy, perfectly capturing their atmosphere -A tactical turn-based combat system with active elements, reminiscent of Super Mario RPG or more recently Expedition 33 -One of the most unique settings ever in an RPG -Incredible variety of enemies, all beautifully rendered in pixel art (boss design by Look Outside pixel artist) -The game is divided into multiple acts, taking you through a wide variety of regions and kingdoms -It’s full of charm and incredible attention to detail. Heal with rotting items, fight flying jellyshorts, and save using toilet paper rolls on toilets. Just lovely. -Fun fact: Game is made by 2 real janitors -The original soundtrack is an absolute banger, instantly transporting you back to the SNES era -There’s a Mode 7-style overworld that you can explore on foot, on a mount, or by airship -The overworld invites exploration and is packed with secrets and hidden areas -What brings the game into the modern era is a dedicated jump button. You can jump pretty much anywhere and explore the world on entirely new levels -There are also various characters, each with unique abilities outside of combat, and you can switch between them at any time -Characters are just lovely -The game is wonderfully written and well paced, full of great story moments and twists, but it’s only available in English at the moment -I would compare the difficulty to Chrono Trigger. It’s challenging but never unfair, and grinding is never necessary -If you die in a battle, you can retry it immediately -Enemies are visible before battle and can be avoided -Fast battles, quick in and out -Various battle themes -Fallen characters and those outside your active party still gain experience -The game is pure indie at heart, over eight years in the making and packed with content -Lots of side quests -Dedicated character quests that explore each character’s backstory -Secret weapons and bosses -Dungeons with puzzle elements -25 hours of story content (more with side stuff) -Only 20 bucks (discount right now) -Great on Steam Deck -Full controller support -Sometimes the jumping sections demand too much precision -I ran into a few bugs during my playtime. The game froze, I got stuck in walls, the music sometimes cut out, and I wasn’t able to use an item at one point -I reached out to the developers, and they have already responded with multiple updates Kingdoms of the Dump is a love letter to an era that produced some of the greatest RPGs of all time. It’s a modern classic, only held back by some technical issues. For me, it’s the best SNES game that was never actually released on a Super Nintendo. Verdict: 9/10 #KingdomsoftheDump 👑 Kingdoms of the Dump - OUT NOW

GermanStrands

36,817 views • 9 months ago

Most people spend their entire lives trying to fit into a box someone else built. We change how we look, how we speak, and who we are just to be accepted. But true power doesn't come from blending in. It comes from the absolute refusal to fake it. At just 22, Bella Ramsey has been working in adult environments since age 11. When they starred in Season 2 of The Last of Us, they faced heavy online harassment over their looks and identity. Think about that. Instead of breaking under the weight of millions of opinions, they stood firm. They proved that your value is never tied to an internet comment section. Bella was also diagnosed with autism while filming The Last of Us. They openly shared how their neurodivergence massively feeds their craft, making them deeply perceptive to human emotions. What society often labels as a limitation or a disorder became Bella's literal superpower on screen. In recent August 2026 interviews for their new indie film Sunny Dancer, Bella shared a profound lesson: "Don't try and fit in. Please don't change to try and fit in because there are people who will fit in with you." They spent years being the sensible kid, and now realize that the ultimate liberation is just letting yourself exist as you are. You don't need to fit into anyone else's box to shine.

Most people spend their entire lives trying to fit into a box someone else built. We change how we look, how we speak, and who we are just to be accepted. But true power doesn't come from blending in. It comes from the absolute refusal to fake it. At just 22, Bella Ramsey has been working in adult environments since age 11. When they starred in Season 2 of The Last of Us, they faced heavy online harassment over their looks and identity. Think about that. Instead of breaking under the weight of millions of opinions, they stood firm. They proved that your value is never tied to an internet comment section. Bella was also diagnosed with autism while filming The Last of Us. They openly shared how their neurodivergence massively feeds their craft, making them deeply perceptive to human emotions. What society often labels as a limitation or a disorder became Bella's literal superpower on screen. In recent August 2026 interviews for their new indie film Sunny Dancer, Bella shared a profound lesson: "Don't try and fit in. Please don't change to try and fit in because there are people who will fit in with you." They spent years being the sensible kid, and now realize that the ultimate liberation is just letting yourself exist as you are. You don't need to fit into anyone else's box to shine.

Capstone

118,085 views • 29 days ago

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

THAT $70 "RUN YOUR OWN LLMS" PI KIT CAN'T RUN A SINGLE LLM. IT'S A VISION CHIP WITH NO RAM. that clip sells a raspberry pi 5 in a slick case with an ai accelerator and the caption "your own llms." clean build, fun kit. the claim is where it breaks. the fine print: the popular $70 pi ai kit uses a hailo-8l, 13 tops. it's built for vision, object detection and image processing, and it has no memory of its own. so it cannot run large language models. full stop the board that actually can is a different one: the newer ai hat+ 2, hailo-10h, 40 tops, with 8gb of dedicated ram. that's $130, not $70 and even that runs only tiny models. llama 3.2 at 1b, qwen 2.5 at 1.5b, deepseek r1 at 1.5b. edge llms live in the 1-7b range, against cloud models at 500b to 2 trillion so the honest pitch: for $130 you can run a very small language model on a pi, slowly, as a fun learning project. that's real and it's cool. "your own llms" on a $70 vision kit is not. why this keeps happening: "ai kit" and a big "tops" number sell. tops sounds like intelligence. but tops measures vision-style math, not whether the chip has the memory to hold a language model. the spec that matters for llms is ram, and the cheap kit has none. the honest caveats, both ways: the $70 kit is genuinely great, just at vision. cameras, object detection, that's its job the $130 hat really does run small llms locally, which a pi couldn't do at all two years ago. that's progress "small" is the load-bearing word. don't expect gpt at home on a pi the takeaway: before you buy a kit because the caption says llm, check two numbers. not the tops. the ram, and the size of the model it can actually load. no 70-dollar miracle, no gpt in a pi case, no tops number that means what you think. save this before you buy the wrong kit for the word on the box.

RetroChainer

11,100 views • 1 month ago

Chiliz's Highlight of The Week: Chiliz Farm: Play & Earn | Mobile Farm Game 🌶️ 🎮 🌶️🧑‍🌾 Take a moment to stretch your fingers, because this week's highlight is going to ask a lot from them. Welcome to Chiliz Farm! ✨ 📚 Introduction: Chiliz Farm is a play-to-earn mobile farm game on Chiliz Chain. It started as a casual Telegram clicker game, like Notcoin & Hamster Kombat, but has already introduced many new features and mini-games such as Snake, Match-three and auto-farmer. Since the launch on August 10th, Chiliz Farm already onboarded 6,000+ users, with over 200,000+ mini-games played and 10,000,000,000+ coins being farmed. 💥 Why to play the game: First of all, it is fun to play! Second, all players will receive an airdrop of the upcoming Chiliz Farm token based on the number of coins you've accumulated in the game. But that's not all! The top 100 players that acquired the most coins, the top 20 players in each mini-game and the most active participants in the community will also receive special NFTs, which will be incredibly valuable and offer unique boosts in the future game where you can earn real tokens. These NFTs will also provide additional advantages within the larger ecosystem. 🏗️ What to expect in the future: Chiliz Farm is dedicated to release an Android & IOS app for Chiliz Farm at the end of 2024. With their own cryptocurrency on Chiliz Chain being the backbone of the mobile based game. This token will have real value, and can be earned by simply taking care of your farm. In addition, they will be integrating NFTs for rare items that will significantly impact your progress. 🤝 Partnerships: Chiliz Farm has already partnered up with one of the major DEXs on Chiliz Chain: KEWL. KEWL Swap integration is coming soon to the Chiliz Farm game, bringing new tasks and opportunities for KEWL's users. 🎮 You can play the game via the following link: Chiliz Farm is an independent third-party project and has no affiliation with or endorsement from Chiliz Group, and their terms. Term and conditions might apply. That's it! Make sure to follow Chiliz, as we will be highlighting KEWL, the first and one of the major DEXs on Chiliz Chain, on next week's edition. 🌶️

Chiliz's Highlight of The Week: Chiliz Farm: Play & Earn | Mobile Farm Game 🌶️ 🎮 🌶️🧑‍🌾 Take a moment to stretch your fingers, because this week's highlight is going to ask a lot from them. Welcome to Chiliz Farm! ✨ 📚 Introduction: Chiliz Farm is a play-to-earn mobile farm game on Chiliz Chain. It started as a casual Telegram clicker game, like Notcoin & Hamster Kombat, but has already introduced many new features and mini-games such as Snake, Match-three and auto-farmer. Since the launch on August 10th, Chiliz Farm already onboarded 6,000+ users, with over 200,000+ mini-games played and 10,000,000,000+ coins being farmed. 💥 Why to play the game: First of all, it is fun to play! Second, all players will receive an airdrop of the upcoming Chiliz Farm token based on the number of coins you've accumulated in the game. But that's not all! The top 100 players that acquired the most coins, the top 20 players in each mini-game and the most active participants in the community will also receive special NFTs, which will be incredibly valuable and offer unique boosts in the future game where you can earn real tokens. These NFTs will also provide additional advantages within the larger ecosystem. 🏗️ What to expect in the future: Chiliz Farm is dedicated to release an Android & IOS app for Chiliz Farm at the end of 2024. With their own cryptocurrency on Chiliz Chain being the backbone of the mobile based game. This token will have real value, and can be earned by simply taking care of your farm. In addition, they will be integrating NFTs for rare items that will significantly impact your progress. 🤝 Partnerships: Chiliz Farm has already partnered up with one of the major DEXs on Chiliz Chain: KEWL. KEWL Swap integration is coming soon to the Chiliz Farm game, bringing new tasks and opportunities for KEWL's users. 🎮 You can play the game via the following link: Chiliz Farm is an independent third-party project and has no affiliation with or endorsement from Chiliz Group, and their terms. Term and conditions might apply. That's it! Make sure to follow Chiliz, as we will be highlighting KEWL, the first and one of the major DEXs on Chiliz Chain, on next week's edition. 🌶️

Chiliz - The Sports Blockchain

43,550 views • 2 years ago