if BACKEND == “triton”: @triton.jit def _vadd_kernel(a_ptr, b_ptr, c_ptr, n, BLOCK: tl.constexpr): pid = tl.program_id(0) offs = pid * BLOCK + tl.arange(0, BLOCK) mask = offs < n a = tl.load(a_ptr + offs, mask=mask) b = tl.load(b_ptr + offs, mask=mask) tl.store(c_ptr + offs, a + b, mask=mask) @triton.jit def _fused_gelu_kernel(x_ptr, w_ptr, b_ptr, o_ptr, n, BLOCK: … Read more
Robbyant, the AI unit embedded within the Ant Group, has released a LingBot-VA 2.0.The first model of the native base. It describes a video action base model for manipulating a general robot. The research team pre-trains the entire stack for simulation instead of fine-tuning the video generator. What is LingBot-VA 2.0? Many action video models … Read more
Automatic Music Transcription (AMT) converts audio into symbolic notes, usually MIDI. One tool script is already working fine. However, recording a full multi-instrumental mix is always difficult. The Kyutai and Mirelo groups are now released MuScriptor to fill that void. It’s an open-weight model trained on real, multi-instrument recordings in many genres. This article explains … Read more
def _hsize(nbytes): for u in [“B”, “KB”, “MB”, “GB”]: if nbytes < 1024: return f”{nbytes:.1f}{u}” nbytes /= 1024 return f”{nbytes:.1f}TB” def build_prompt(instruction, workspace): exts = (“.csv”, “.xlsx”, “.xls”, “.json”, “.xml”, “.yaml”, “.yml”, “.txt”, “.md”, “.tsv”, “.db”, “.sqlite”) files = sorted(f for f in os.listdir(workspace) if f.lower().endswith(exts)) lines = [f’File {i+1}: {{“name”: “{f}”, “size”: “‘ f'{_hsize(os.path.getsize(os.path.join(workspace, … Read more
Today, Meta Superintelligence Labs was released Muse Spark 1.1. Alongside it, Meta has opened a public preview of the Meta Model API. That second part is a structural change. Meta models have previously reached developers mainly as open weights. Muse Spark 1.1 is closed, managed, and metered per token. So the question is small. Where … Read more
Google AI Studio releases an ‘import from GitHub’ feature within it Build it mode. It takes the repo and converts it to a format compatible with the runtime. You can then keep iterating on it, using it, and more. The update was shared by the Google AI Studio account and … Read more
Google AI Studio releases an ‘import from GitHub’ feature within it Build it mode. It takes the repo and converts it to a format compatible with the runtime. You can then keep iterating on it, using it, and more. The update was shared by the Google AI Studio account and … Read more
DSpark’s new DeepSeek module brings predictive innovation to DeepSeek-V4. It may look like a niche inference tweak, but in production it increased the generation speed of each user by 60 to 85 percent with no decrease in model quality. What makes DSpark different is that it tackles two long-standing problems simultaneously, poor draft quality and … Read more
import torch.nn as nn import torch.nn.functional as F from dataclasses import dataclass torch.manual_seed(0) @dataclass class Cfg: d_model: int = 192 n_head: int = 6 n_layer: int = 4 ffn_mult: int = 2 n_mod: int = 3 text_vocab:int = 16 vis_dim: int = 8 act_dim: int = 4 Lt: int = 8 Lv: int = 8 … Read more
NVIDIA has been released Audex (Nemotron-Labs-Audex-30B-A3B)a large-scale text-to-text language model. It understands and produces both sound and speech. It also retains the intellectual intelligence of its core. Checkpoints, and the smaller Audex-2B, are released under a non-commercial license. Many multimodal models pay textual tax. When labs add audio or visual … Read more