TensorFold 1.2.6 is out. 🚀 The big one here is the prompt cache under multi-agent load. In the 16-agent Qwen3.8-27B + DFlash2 test, median follow-up time to first token dropped: • M3 Ultra: 546s → 15.9s • GB10: 105s → 25.8s Each agent started with a ~17k-token prompt. Same replies throughout that test. Also in this release: • Flash Next cold prompts finish 29 to 41% sooner on HIP, measured on the Radeon 8060S. • GLM-5.3-Flash single-stream code decoding is 32% faster on two GB10s at TP=2. • Opt-in DSpine-b16 drafting from Tencent for Qwen3.8-27B on CUDA. • An image-generation API for image-capable engines, local Unix sockets and tool-call fixes. One upgrade note: kept prompt states need a fresh prefill after updating. Massive thanks to everyone contributing code, testing on their hardware and reporting the things that need fixing. I really appreciate the time you all put into this. @andersjw_ @Bizuayeu @defilan @devopsfortunato @unigilby @jvr0x @teleogen And on GitHub: abm9111, AbrahamCete, akol1, BobClawblaw, chadhurley25075-png, davidtai, ElderOrb, jschmied, kotevcode, Mirrdhyn, mrv777, ppardus, robertung88 and volfco. @petruspennanen @volatilemarkts @plotarmordev @MiaAI_lab

TensorFold is coming to @ComfyUI. 🔥 I posted about wanting to integrate TF into ComfyUI, and they replied, "Let's talk". We're starting with an experimental MOSS Image sampler on GB10, using TensorFold's native CUDA worker. Video will be coming shortly. Huge thanks to the amazing Comfy team. I'm really excited to push this further. PR:

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Tensions flare in Philadelphia as anti-Israel demonstrators target Jewish-owned restaurants, drawing hundreds of counterprotesters into the streets. The demonstrators call for a boycott of six restaurants over alleged ties to Israel, but the protest sparks a major show of support for the businesses as customers line up outside and opposing groups exchange heated words. Police move in to keep the crowds separated, with three arrests reported as tensions escalate. The timing of the demonstration is also drawing backlash. Here's why Jewish community leaders are condemning it:

TensorFold 1.2.5 is out. 🚀 This release brings: • TensorFold Web, a local browser app for chat, models, learning, benchmarks and more. • LFM2.5-24B-A2B on CUDA. • Nemotron Parse and LightOnOCR-3 on HIP. • Clef's joint schema head on CUDA. Qwen3.8-27B MLX 8-bit on M5 Ultra also gets faster. In the measured test, cold prompts were 18% faster and decode 7.6% faster, with the same tokens and prompt state. There's lower memory use for Qwen CUDA streams, better conversation-cache handling and a fix for PDF rendering crashes on macOS too. A massive thank you to everyone contributing code, testing builds and reporting problems. These releases take a lot of work, and I really appreciate the time people put into them. @Bizuayeu @devopsfortunato @unigilby @teleogen @dubsthedev @kalin_swiss @Q4_K_M And on GitHub: AbrahamCete, gordonhatusupy, jschmied, mrv777 and yguanrong. Special credit to Stephane on GitHub for TensorFold Studio, which TensorFold Web builds on. @volatilemarkts @plotarmordev @MiaAI_lab @petruspennanen