got cloud inference working! here i have smolvla running... on a remote 4090 on prime intellect with a thin client running on my local pc sending observations to the remote server and receiving action chunks back. round trip latency is varying between 320-470ms! the 4090 instance I'm using is $0.62/hr and not even one of the cheaper ones, a raspberry pi v5 is < $100 and about $25 for a v3, which works fine as a clientshow more

One of the coolest uses of LM Studio and... AI at AMD is using LM Link to have a Framework Desktop be a remote inference server for a laptop, including something little like Framework Laptop 12. It feels native on the laptop, but gets the desktop’s performance.show more

Claude Code is running on a remote server, along... with the web app it just built. You’re on your phone. You can still open localhost:3000 in Safari or Chrome. Just create a local port forwarding rule in Termius and securely tunnel the remote port to your device. No public ports. No extra setup.show more

One of my go to activities when I'm on... a field with many athletes and have minimal equipment. The pusher works his accel The resister works his decel Its feels awakward and unstable which is fine because their athletes not robots... #LTADshow more

I added a GUI file explorer to Loki C2!... It’s not winning any design awards, but it works surprisingly well. The Loki C2 client is built with Electron. I got the explorer up and running in just a few hours—AI is killer for web dev tasks.show more

Got all 12 student plus 1 instructor Raspberry Pi... Pico W with pimoroni GFX pack working and running my #redis streams #micropython workshop. Is this the most GFX Packs on a single project Hel Goblins ⚡🐍 vaporweave ? 😀 event is Thursday Oxford Pythonshow more

This is running in my web browser on my... laptop. It's deterministic and running using webgpu Tonight; I have a /goal going where it is going to set up one of my 4090s as the authority server, and then test all the rollback code. Goal is 50k boxes simmed per user, up to 512 users. Massively multiplayer massively rigid body physics online games inside your web browser. Why the hell not, we've got the tokens to spare!show more

Streaming iPhone data in real-time directly to Rerun 🚀... The collection process is one of the most frustrating parts of building imitation-learning datasets. I’ve got a little army of sensors—📱 iPhone, iPad, Quest 3—but getting them temporally aligned, spatially aligned, AND seeing real-time feedback while recording is tough. I stumbled on a great library from Cake Lab (WPI) called ARFlow. It’s a thin client built on Unity’s ARFoundation that connects over gRPC to a server running Rerun for live data logging. I forked it to: - Log the SLAM translation poses, and - Upgrade rerun to v0.23 for my use case. So far, it works well, but there are still a few hitches: 1. Right now, it’s solid on iPhone and iPad; my Quest 3 client is still slow and not super reliable. 2. I’m using an older ARFlow branch focused on real-time streaming only—no spatial or temporal sync yet. Unity builds for iOS keep failing. 🛠️ 3. Nothing is saved locally to the client, so packet loss is a risk on shaky networks. There’s huge potential in tapping the ubiquitous sensors we carry around every day, and ARFlow is a big step toward making that easyshow more

Switched to the Deere 3D nozzles. Running them on... A and B on the exact apply. One is facing forward one is facing back. 20gpa. 10oz veltyma and an insecticide. Doing a great job with coverage.show more

Working on a character as iconic as Optimus Prime... was truly a dream come true. I'll always be grateful for the opportunity, especially as a huge Transformers fan. Here is a comparison between the viewport playblast and the final shot for one of his transformations.show more

Woow Tencent has released a model 100% open source... which is better than Google Translate... And it runs locally on your phone?! - Only 440MB (!!) - 33 languages - On-device translation So we have now a local Google Translate which is running completely offline. They are using AngelSlim which their compression toolkit. That's why the model is so efficient.show more

The B-Wing Cockpit animation and model are done! I've... been at this one for a while, and I'm relieved to have it finished, so I can move onto something else. Enjoy! Rendered in 3dsmax 2024 using VRay 7 GPU on a 4090 RTX. It took about 3-3.5m per frame.show more

Dom Hamel is asked about his role with the... Mets and his future position on the team: "I'm trying not to leave them a choice, I don't want to go back [to AAA] - I'm thinking I'm up here for a reason"show more

MolmoAct2 is landing in LeRobot! Ai2's open Action Reasoning... Model combines a Molmo2-ER vision-language backbone with a flow-matching continuous action expert to predict robot action chunks from images, language instructions, and proprioceptive state. An open robot foundation model built for real-world control, with strong out-of-the-box performance and easy fine-tuning in LeRobot. Pick-and-place inference running on NVIDIA DGX Spark! Blog: Paper: Thanks to Ai2 Jiafei Duan Haoquan Fangshow more

This is only 1 Niagara emitter to handle thousands... of decals as particles using Data Channels! Significantly lower overhead on the GameThread and only a single component per grid cell. This also adds instancing to the decals which is normally not supported for individual decal components. Working on this as part of data-oriented projectiles that run without Actors, asynchronous collision and supporting multiplayer (incl. client side prediction). Removes a huge amount of overhead from the CPU, more on that soon!show more

OK, I have a definitive word on the CJ... Abrams play from today's Pittsburgh Pirates at Washington Nationals game after talking with Elias Sports Bureau on this. This play will stay as a sacrifice fly. The originial ruling of NOT a sacrifice fly was for the exact same reason that I thought, which is that the infielder is not running into the outfield, which is year's past would have been correct As it was explained to me, in past years, an infielder had to be running almost in a straight line towards the outfield wall to be considered "running in the outfield". Here, since he is running, and he ends up further away from home (157 feet) than when he started (145 feet), this is going to count as a sacrifice fly. That definition is changing, in part from this play to help bring greater consistency, and to take some of the guesswork out of it (the argument that he is running into the outfield as opposed to more parallel). Now, folks all the time ask "why doesn't MLB publish the OS Manual" and I always say because it is a living document that can have the wording change, and the wording for this play will be modified to something like "more towards the outfield wall than towards home plate" to eliminate any confusion. The big key to this play is that he was running on a full sprint. Also, and this is helpful for me, but for all fly ball outs that score a run, Elias Saba reviews to ensure consistency. So, yes, it's a sacrifice fly, and now that I have that info from Elias themselves, that sort of settles this one. Sounds like the guidelines for this definition will be changing, either this season, or certainly for next season.show more

This guy built a mini AI farm out of... 4 Nvidia boxes It does not look like a data center. It looks like a stack of small machines sitting next to a laptop. But each box is a DGX Spark with Grace Blackwell inside, 128GB unified memory, and enough room to run models normal gaming GPUs cannot even open. Using the launch price from the article, 4 of them is almost $12,000 of local AI compute on one desk. That sounds expensive until you compare it to cloud GPUs. A serious AI builder can burn $1,500 to $3,000 a month renting A100s and H100s for client work, fine-tunes, agents and 70B models. He basically moved that bill from the cloud into hardware he owns. 4 Nvidia boxes. 512GB unified memory. No hourly meter running in the background. No rented GPUs eating the margin every time an agent runs too long. The funny part is most people still think local AI means a slow laptop running a toy model. Meanwhile guys like this are stacking compute at home. Save this, local AI is turning into the new mining farm.show more

Op wants to go on a trip to Japan.... Op asked which place she likes the most as Sana always goes on a trip when she is back to Japan. Sana 🤔...answered Kyoto and even said, "Please ask Momorin about Kyoto!" 🤣show more

I Finally tried the Play For Dream, The "Apple... Vision Pro" running on Android 15 with controllers. I have to say, I'm very impressed! The hardware is solid, with eye tracking, auto IPD, pancake lenses, the software feels snappy, even if very "familiar" :P, and the MicroOled Screens really shine here. There was still some chromatic aberration and not many apps to play with, but playing PCVR on it was incredible ( with some latency tho ) Probably one of my fav demos at #CES2025 so far! I can't wait to share more and hopefully a full review soon.show more

This Chinese developer launched Llama 70B locally on a... MacBook on a plane and for a full 11 hours without internet ran client projects. He was sitting by the window on a transatlantic flight with a MacBook Pro M4 with 64 GB of memory. WiFi on board cost $25 for the flight. He declined. No cloud API, no connection to Anthropic or OpenAI servers, no internet at all. Just a local Llama 3.3 70B on bf16 and his own orchestrator script. The model runs through llama.cpp. Generation speed, 71 tokens per second. Context around 60,000 tokens. Memory usage, 48.6 GiB out of 64. Battery at takeoff, 3 hours 21 minutes. And he gave the orchestrator this system prompt before takeoff: "You are an offline orchestrator running on a single MacBook. There is no network. The only resources you have are local files in /Users/dev/work, the Llama 70B inference server at localhost:8080, and a battery budget of 3 hours 21 minutes. Process the queue at /Users/dev/work/queue.jsonl (one client task per line). For each task: draft → run local evals → save artefact to /Users/dev/work/done/. Save context checkpoints every 12 tasks so you can resume after a battery swap. Stop only on empty queue or when battery drops below 5%." So the system knows exactly what resources it is running on. It knows it has no connection to the outside world for the next 11 hours. It knows it has finite memory and a finite battery. It knows the human will not intervene until the plane lands. The system runs in 1 loop. Takes a task from the queue, runs it through inference, saves the artifact, writes a checkpoint. Task after task, just like that. And only when the battery drops below 5% does the orchestrator automatically pause, waits for the laptop to switch to the backup power bank, and continues from the last checkpoint. Here is what the system actually writes in his log during the flight: "saved context checkpoint 8 of 12 (pos_min = 488, pos_max = 50118, size = 62.813 MiB)" "restored context checkpoint (pos_min = 488, pos_max = 50118)" "prompt processing progress: n_tokens = 50 / 60 818" "task 37016 done | tps = 71 s tokens text → /Users/dev/work/done/proposal_westside.md" Outside the window, clouds, blue sky, and no WiFi. On the tray, 1 MacBook, an open terminal on 2 screens, and an inference server on localhost. From what I have observed, this is the cleanest offline AI workflow I have seen in the past year: 11 hours of flight, $0 for WiFi, and the entire client queue closed before landing.show more

By Thursday, we will be announcing Phase IV of... the Health Insurance for vulnerable citizens in Kaduna. The figure takes us to over 1, 000 in partnership with KACHMA. I missed being in the office. In the next few weeks, I will state my position politically. I owe the public that. I always state whatever I do through my handles. I was with my father for a few hours and he is fine with me running. As God is my witness, and on behalf of the excellent people Kaduna North, I will be running for office in 2027, if alive. We will still focus on the job we were elected to do, and there are a few leaders, Northern Statesmen and fathers that I have to speak to. My position is peculiar. But I have tried to handle with honour and dignity. My wife and I have decided this is the right course. And my people are with me, on social media and offline. I have never feared an election for a day. But it is the right of anyone to try. Respect that right knowing my record speaks for me. Thank you.show more