and it works on hardware, inference on a macbook... m3 pro. also great at handling highly precise placement / drop thanks to dense patch features solves the task more efficiently that ACT and diffusion.show more

Still need to do some cable management, but this... is a huge upgrade to my setup. I put my M3 MacBook Air on a SVALT dock (heatsink + fan) and thermal throttling is completely gone. Now when I’m home it basically performs like a MacBook Pro 🔥show more

Julio GUC stays on top of everything with a... task list that adapts to the way he works. His system lets you organize tasks by priority, deadlines, and more—great for everything from quick to-dos to big projects →show more

First Melbourne meal: The famous baked eggs at Hardware... Société — ft. chorizo, Spanish cow's milk cheese, spiced concassé, spinach, and more... HIGHLY recommend. Very different spin on breakfast and I enjoyed itshow more

Congrats to everyone at the Presidents Cup — the... organizers, the players, the staff, and the volunteers — on a fantastic tournament. Thanks for bringing it back to my hometown, and thanks to the fans for making it such a great time.show more

🪄 We're excited to introduce #Lottie by @airbnbdesign support!... 🎉 Simply drop a JSON or Lottie file on the patch graph and hook it up to the Lottie Animation patch. 💻 Download the latest version of Origami at:show more

Seedream 5.0 Pro. Unlimited. Now in 2K Every "what... if I try it again", at production resolution → Precise editing → Text that stays legible, even in dense layouts → 2K output, ready to post anywhere Try it now on Magnificshow more

Qwen3-TTS Web UI on Mac! Qwen3-TTS web UI now... works on Macs too, thanks to contribution from Pierre Bruno, who is also our Pinokio community mod. Thank you! Just install fresh and it should work, I've confirmed this working on my Macbook M1 Max hereshow more

Working on a new topic and hardware for a... while: Feet Language Action models. VLAs teach robots to act through vision and language FLAs teach legged robots to act through contact Given a task, terrain, body state, and instruction - decide where, when, and how to make contactshow more

Excited to introduce Diffusion Augmented Agents (DAAGs)✨. We give... an agent control of a diffusion model, so it can create its own *synthetic experience*.🪄 The result is a lifelong agent that can learn new reward detectors and policies, much more efficiently. Here's how. 👇show more

Preparing to run the new Llama 3.3 70B on... my mac cluster. Downloading model shards onto 3 x M4 Pro Mac Mini and 1 x M3 Max MacBook Pro. AI cluster is connected by Gigabit ethernet switch with EXO Labsshow more

🔜 Object Storage on Railway We’re actively working on... adding object storage support and we want your feedback: • What would you use it for on Railway? • How are you handling storage today, and what works or doesn’t? • Which features matter most to you?show more

Get Finals-ready! The official 2025 NBA Finals jersey patch... is AVAILABLE NOW in-store and online for $20. These limited-edited patches are available while supplies last so act fast if you don’t want to miss out on this piece of Pacers history! Fans coming to our Team Store location can buy a jersey and patch and have it applied to that jersey for no additional charge. We are only able to put the patch on our ’24-25 Nike Jerseys, no exceptions. Approved jerseys are our Icon (Navy), Association (White), Statement (Gold) and City Edition (INDY in White). We will be applying the patch only to jerseys that are bought in-person at our Team Store location at Gainbridge Fieldhouse. If you order a jersey and patch online, the jersey and patch will be shipped to you together for you to apply. If you bought a current jersey from this season and want it applied, you can bring that jersey in-store and purchase a patch and have it applied on-site. Yes 'Cers! Grab yours here: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

Palia's got a spring in its step, and our... upcoming patch is blooming with new features for you to bask in the great outdoors! 😎🌻 Patch 0.179 🌸 4.23.24 ☀️ Courtyard Add-On 💗 Friendship Level 5 Quests 🎒 Ammo Pouch 💐 More Flowers 🏆 Steam Achievements #Palia #PlayPaliashow more

Our self-improving agents optimized the full @vLLM_project inference stack,... with up to 16% more throughput and interactivity for DeepSeek v4 Pro and Z.ai GLM 5.2 on B200s (no MTP). Every change was verified and our agents got better and faster at it with each iteration.show more

WOW KIMI K3 ON MY MACBOOK PRO IS MIND... BLOWING! I am getting side by side comparisons that I can’t believe. By far the most powerful model I have ever run on a laptop. It is easily better than ChatGPT 3.5 at just a 1 bit quantized and close to ChatGPT 5. It beats most Claude models. More soon!show more

Thanks for all the great feedback and comments on... Angry, can’t wait for you to hear more!show more

I'm happy to announce PhiFlow version 3.0! Just in... time for #ICML2024 😀 There are many new features and improvements, such as unstructured meshes, particle processing, improved linear solves and more... Give it a try at:show more