Install
RedditVote46FlipShareTweet46 SharesRedditVote46FlipShareTweet46 Shares
- 1,175articles · 365d
- 10+ hour agolatest article
- Sep 13, 2025earliest in window
- 97%with images · 26 videos
- 339avg words
- Science & Technology 1,153
- Software Dev. 1,002
- Computers & Electronics 898
- Science & Nature 146
- Jobs & Education 101
- STEM 83
- News 33
- Business & Industrial 17
Please confirm you are human
This browser or connection looks automated. Press and continuously hold the control for 3 seconds to enable Google-hosted web results and, when separately allowed, AI-assisted answers.
A successful check enables 100 search requests. Interactive access does not authorize scraping, systematic collection, or reuse of search output.
News
Google Research Releases ToolGrad: Answer-First Framework Hits 99.8% Pass Rate for Tool-Use Data Generation
2+ day, 12+ hour ago (279+ words) Is it deployable? Yes. The code is Apache-2.0, the ToolGrad-500 dataset and the 1B, 4B, and 12B models are on Hugging Face, and there is a PyPI package. ToolGrad reverses the order. It first constructs a ground-truth tool-use chain by actually executing APIs,…...
GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecture
2+ week, 1+ day ago (384+ words) Two frontier open-weight models shipped within a day of each other this week. Z.ai released GLM-5.3-Flash, a 320B-parameter multimodal MoE model with 18B active parameters. Alibaba’s Qwen team released Qwen3.8-Flash-Next, a 125B model with 6B active parameters that previews the Qwen4 architecture. GLM…...
Alibaba's Qwen Team Releases Qwen3.8-Flash-Next: A 125B Multimodal MoE With 6B Active Parameters Previewing the Qwen4 Architecture
2+ week, 4+ day ago (336+ words) Yes but not on a workstation. The FP8 checkpoint is 172.78 GiB and the BF16 checkpoint is 335.28 GiB. Per vLLM recipes, TP2 is the minimum validated FP8 configuration on GB300 and TP4 is recommended. On an 8×H200 node, use TEP8; plain TP8 is incompatible with the checkpoint’s 128-wide quantization blocks....
Z.ai Ships GLM-5.3 Without Retraining the Base Model: Better at Complex Coding and Long-Horizon Tasks
4+ week, 2+ day ago (212+ words) Partially, GLM-5.3 is live through the Z.ai API, the GLM Coding Plan, and ZCode. Weights are not out. Z.ai says it will publish them roughly two weeks after launch, once safety evaluation and hardening finish. Terminal-Bench 3.0 moves from 4.6 to 28.3 against…...
AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs
1+ mon, 1+ week ago (252+ words) Partly. The weights ship under a ResearchRAIL license for academic and research purposes only, so this is not a drop-in commercial model. The training codebase is MIT licensed, and that is the more reusable asset here. Instella-MoE is a decoder-only…...
PolyAI Releases Dialog-RSN-1: An Audio-Native Dialog Model That Fuses Turn-Taking, Speech Recognition, Function Calling, And Response
1+ mon, 1+ week ago (205+ words) PolyAI has introduced Dialog-RSN-1, a dialog model that perceives the caller’s audio directly instead of reading a transcript. It fuses turn-taking, speech recognition, function calling and response generation into one audio-native model, and is already handling live production calls. Yes,…...
Black Forest Labs Releases FLUX 3: A Multimodal Flow Model for Image, Video, Audio and Robot Action Prediction
1+ mon, 2+ week ago (590+ words) Black Forest Labs (BFL) has released FLUX 3, a multimodal foundation model that learns from images, videos and audio inside a single architecture. It is also the first FLUX model to ship video, audio and action prediction from one set of…...
Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning
1+ mon, 2+ week ago (764+ words) Explore TileLang, a high-level Python domain-specific language that simplifies the design of high-performance GPU kernels. This tutorial provides a step-by-step approach to implementing complex workloads—including tiled tensor-core GEMM, fused softmax, and FlashAttention—while letting the compiler handle intricate thread…...
Unsloth vs Axolotl vs TRL vs LLaMA-Factory: A Fine-Tuning Framework Comparison on Speed, VRAM, and Multi-GPU
1+ mon, 3+ week ago (1264+ words) Four open source projects dominate LLM fine-tuning today. Unsloth, Axolotl, TRL, and LLaMA-Factory all wrap the same underlying PyTorch and Hugging Face stack. They diverge on where they spend engineering effort. Unsloth rewrites kernels. Axolotl composes parallelism strategies. TRL defines…...
Meet Nemotron Labs 3 Puzzle 75B A9B: A Compressed Hybrid MoE LLM Delivering 2.03x Server Throughput
2+ mon, 3+ day ago (1039+ words) The deployment target was fixed before the architecture search began. Target one was 2x server throughput at 100 tokens per second per user. Target two was 8 concurrent 1M-token requests on a single H100. Three checkpoints on Hugging Face: BF16, FP8, and NVFP4. Nemotron-3-Super is a…...