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qwenGPU compiles a 4-lane SIMT GPU into Qwen3.5-2B as 45 untrained layers. The model writes every step of real CUDA launches itself, using Gated DeltaNet state as registers and memory. The post Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA appeared first on MarkTechPost.
dbreunig/nesformer Inspired by qwenputer by Divyansh Agrawal, Drew Breunig baked a working emulator for a Nintendo Entertainment System 6502 CPU into the weights of Qwen3.5-4B. You can now play NES ROMs such as Super Mario Bros (very slowly) running inside Qwen! In a comment on Hacker News Drew reveals the Opus 5.5 prompts he used to build this system: Read this article and any relevant source code: https://divagr.com/blog/qwenputer. Then explore if you could emulate the chip and ram in a Nintendo Entertainment System (as people do today with FPGAs in MISTRs) using this technique. If so, what size model would you have to build and if you could use smaller faster ones, could you get it to be at the standard clockspeed. Followed by: I think we should build it! Just for fun. It's okay if it's
The other artificial intelligence shoe dropped this week, as Anthropic filed for what surely will be the second blockbuster AI initial public offering of stock this year. Nearly 70,000 words in the filing list a ton of risks, but in short, it’s making unimaginably huge bets on buying computing power, it’s uncertain on how long […] The post As Anthropic finally files for IPO, rising risks aren’t slowing the AI buildout – yet appeared first on SiliconANGLE.
Mistral’s open-weight release, frontier monitoring, and the day’s AI Twitter and Reddit recaps.
Quant: OCP FP8 E4M3 support (#27512) * WIP OCP FP8 E4M3 support * Fix python type-checker * Materialize input_scales also for FP8 when converting * Fix conversion of https://huggingface.co/RedHatAI/Qwen3.8-27B-NVFP4 1. Per row FP8 wrongly fell to NVFP4 conversion, as NVFP4 checked on dims alone. Also check on dtype for FP8 2. Need to reshape FP8 QKV projections scales in the same way that weights are reshaped * Allow remaining FP8 tensors to be dequantized during conversion * Allow tensor-strategy for FP8-only compressed-tensor ckpts * Fix and test gguf-py behavior for FP8_E4M3 * Disallow QKV-fusion for FP8 temporarily * Fix conversion of fused qkvz & FP8 for Qwen3-Next * Avoid fusing FP8 for --fuse-gate-up-exps as we may have different ws * Emit warnings when not fusing FP8 during convers
arXiv:2610.37731v1 Announce Type: new Abstract: Model discrepancy may prevent a single calibration parameter from reproducing a physical response across the context domain. In addition, uncertainties in observations and contexts affect calibration and must be accounted for and quantified. We construct a family of localized posteriors by weighting observation likelihoods according to their proximity to a target context. Gaussian localization weights incorporate context uncertainty through covariance inflation, with reflection at domain boundaries and an optional correction for uneven context sampling. A conditional normalizing flow approximates the family of posteriors through amortized variational inference. Integrating the localized posteriors under a prescribed context measure gives the
arXiv:2610.37905v1 Announce Type: new Abstract: Public disclosure repositories such as SEC EDGAR support informed investment through web access to corporate filings. Supporting their review with language model agents requires discovering unstated deficiencies across related documents, acquiring missing company facts, and verifying that requested revisions satisfy evidence-backed requirements. Existing financial question-answering evaluations provide limited evidence of these interactive capabilities. We introduce \textbf{FilingLoop}, an interactive benchmark and a self-evolving agent framework for corporate disclosure review and revision. Grounded in historical U.S.\ Securities and Exchange Commission correspondence, FilingLoop reconstructs 380 predominantly IPO review tasks from 96 compan
nemotron-halloween
Legal operations teams are finding that software built for sales pipelines can just as easily run investigations and member communications. As AI agents take on triage work, even nontechnical teams are building those workflows themselves. That shift is playing out at the Motion Picture Association Inc., where a CRM module on monday.com Ltd.’s AI work […] The post Motion Picture Association runs its legal operations on a CRM built for sales appeared first on SiliconANGLE.
Continuous close, in which a company’s books are closed every day instead of weeks after month-end, could change how accounting firms serve clients. As artificial intelligence shrinks the lag between a transaction and the advice built on it, year-end cleanup can become a running conversation. Software makers are retooling their products around the firms that […] The post Continuous close could make accountants everyday business advisors appeared first on SiliconANGLE.
As AI automates routine finance work, the repetitive tasks that once defined entry-level accounting are disappearing, and advisory services are moving to the center of how firms create value. That shift leaves colleges racing to prepare graduates for a job that looks very different from the one in the textbooks. Closing the gap between classroom […] The post Intuit rewires accounting education as AI pushes new hires toward client work appeared first on SiliconANGLE.
Mistral AI SAS today announced the availability of the open weights of its frontier model Mistral Large 4, nicknamed “Le Chonk,” the company’s most capable large language model to date, initially released in preview three weeks ago. With 1 trillion parameters and 52 billion active parameters, ML4 is natively multimodal and has received three additional […] The post Mistral releases open weights for Mistral Large 4, providing sovereign control for the company’s ‘Le Chonk’ AI model appeared first on SiliconANGLE.
## New Models ### Mistral Large 4 (Le Chonk) Mistral Large 4 is Mistral's largest and most capable model to date: a 1 trillion-parameter natively multimodal Mixture-of-Experts model with 49 billion active parameters per token (52 billion including embeddings and output layers), trained from scratch on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own datacenters in Europe. Mistral Large 4 unifies instruction following, reasoning, coding, and agentic workflows in a single set of weights. While a generalist model, it shows especially good performance on workloads such as cybersecurity, finance, and law, and it surpasses frontier closed models on visual grounding. It is natively fluent in 160+ languages, including every official language of the European Union. #### Key Features Mistral Large
The French AI lab claims its latest release matches or outperforms even the best models from DeepSeek and Z.ai in coding and cybersecurity.
Mistral says its new model can afford organizations a kind of control over its cyber defenses that closed models can't.
The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.
Infini-AI-Lab released Hermit, an Apache-2.0 harness adapter framework that trains an external layer of instructions, skills, memory and tools from task feedback, leaving the agent’s model and harness unchanged. The post Infini-AI-Lab Releases Hermit, an Open-Source Harness Adapter Framework for AI Agents appeared first on MarkTechPost.
Google’s new frontier model leads independent evals, with access initially limited to trusted defenders.
Nvidia Corp. today released a leaderboard-winning open artificial intelligence model for multilingual audio transcription and translation, along with an open data pipeline for fine-tuning Nemotron 3.5 Transcribe. Traditional transcription AI models follow a workflow that detects speech, transcribes it, identifies and labels different speakers, then answers questions about the transcription. Transcribe does all of this […] The post Nvidia releases all-in-one adaptable Nemotron 3.5 audio transcription and translation model appeared first on SiliconANGLE.
NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified […]
