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Anthropic Outage for Opus 4.5 and Sonnet 4/4.5 across all services

I fed 24 years of my blog posts to a Markov model

No-Tifier (2017)

Einstein: NewtonOS running on other operating systems

Tile IR Specification

Factor 0.101 now available

Super-Flat ASTs

Show HN: MCPShark – Traffic Inspector for Model Context Protocol

Mistral Releases Devstral 2 (72.2% SWE-Bench Verified) and Vibe CLI

To Mistral and other lab employees: please test with community tools BEFORE releasing models

New in llama.cpp: Live Model Switching

Built a GGUF memory & tok/sec calculator for inference requirements – Drop in any HF GGUF URL

[D] How did Gemini 3 Pro manage to get 38.3% on Humanity's Last Exam?

How to use an LLM Gateway for Request-Level Budget Enforcement

[R] [N] TabPFN now scales to millions of rows (tabular foundation model)

average tech american compagny when you ask to release a 100 parameters ai model outdated since 2017 who counts the number of tiles in a bathroom(the model is too dangerous for the user)

[D] Published paper uses hardcoded seed and collapsed model to report fraudulent results

Is MCP overrated?

mindsdb

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mindsdb

Federated query engine for AI - The only MCP Server you'll ever need

deepspeedai

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

microsoft

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

huggingface

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

microsoft

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qlib

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

aws

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Deci-AI

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super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

modelscope

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modelscope

ModelScope: bring the notion of Model-as-a-Service to life.