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NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🧠LLMs  Content type: Blog
blogs.nvidia.com·

PhysicsIntern: From an Autonomous Benchmark-Runner to a Research Sidekick

 🤖AI Agents  Content type: Blog
huggingface.co··Hacker News

Malicious Hugging Face Models Could Trigger Remote Code Execution

 🤨AI Criticism
techrepublic.com·

A Scalable PyTorch Abstraction for Multi-GPU Gaussian Splatting

 🧠LLMs  Content type: Academic
arxiv.org·

DiffusionGemma: 4x Faster Text Generation

 🧠LLMs  Content type: News  Content type: Blog

Mbodi AI (YC P25) Is Hiring Founding Machine Learning Engineer (Robotics)

 🤖AI Agents

macrodata-labs/refiner: Refiner by Macrodata Labs, a data processing framework for Machine Learning large scale datasets

 🧠LLMs  Content type: Code
github.com··r/LocalLLaMA

Google fills out the middle with the Gemma 4 12B

 🖥️Retro Computing
jonpeddie.com·

Hugging Face Transformers flaw enables RCE via malicious model configs

 🤨AI Criticism
4sysops.com·

Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark

 🧠LLMs
venturebeat.com·

Intro — Sehastrajit

 🖼️Frontend Dev  Content type: Blog
medium.com·

DiffusionGemma: The Developer Guide- Google Developers Blog

 🧠LLMs  Content type: Blog

AI #172: The First Fable

 🤖AI Agents  Content type: Blog
thezvi.wordpress.com·

Treble Technologies and Hugging Face Address Benchmark of Automatic Speech Recognition Models

 🧠LLMs
audioxpress.com·

Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimizations

 🏗️Agent Infra  Content type: Blog
aws.amazon.com·

Discrete Diffusion Modelling by Estimating the Ratios of the Data Distribution

 🧠LLMs  Content type: News  Content type: Blog

What's in the Box? A Field Guide to AI Models

 🧠LLMs  Content type: Blog
iankduncan.com·

New comment by Revanthkodati in "Ask HN: Who wants to be hired? (June 2026)"

 ⚙️Backend Dev

Announcing Forrester’s Top Cybersecurity Threats For 2026

 🏗️Agent Infra  Content type: Blog
forrester.com·

Pythia 1.4B reproduces 3.6% of training samples verbatim given 950-token prompts

 🌐Open Source  Content type: Blog
ret2libc.com··Hacker News

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