🤖 AI - inarcissuss

Discussed on Substack

🤖AI Development medium.com

The Pragmatic Shift: How to Actually Become an AI Engineer in 2026

💬LLM Prompting notes.dsebastien.net·

GLM-5.2

Covers 6 stories including zai-org/GLM-5.2 is here!

Covered by Sébastien Dubois

⚡LLM Optimization AWS·

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

Covers NVIDIA Blackwell Architecture

🗣️Large Language Models Cryptology ePrint Archive·

CRAfT: Constant-Round Non-Polynomial Approximation and P2P Network for Secure Transformer Inference

🤖AI Development dallasinnovates.com·

Reports: Dallas-Fort Worth Hiring Rebounded in May as AI Tops the Region’s Fastest-Growing Jobs in 2026

🔬Deep Learning Lil'Log·

Scaling Laws, Carefully

Covers 3 stories including [2203.15556] Training Compute-Optimal Large Language Models

Covered by Data Science Weekly Newsletter

Discussed on Hacker News

🤖AI Development GitHub

pytorch/executorch ciflow/cuda/20286

🤖AI Development hamanlp.org·

Lean Zig by building an LLM from scratch

Covers Zig Software Foundation ⚡ Zig Programming Language

Discussed on Hacker News

🧪AI Labs AI资讯速览·

阿里巴巴被Anthropic指控蒸馏Claude，OpenAI下一代旗舰得先问白宫

Covers 3 stories including Anthropic says Alibaba illicitly extracted Claude AI model capabilities (www.reuters.com)

🤖ai 应用 notes.dsebastien.net·

Mellum2

Covers Mellum2 Goes Open Source: A Fast Model for AI Workflows

⚡LLM Optimization Hugging Face·

Could you help me test MTP for GLM-4.7-Flash?

Discussed on r/LocalLLaMA

🤖AI Assistants TechTalks·

Loop engineering vs loopmaxxing

Covers 4 stories including karpathy/autoresearch: AI agents running research on single-GPU nanochat training automatically

Discussed on Substack

🧠Transformer Architecture arXiv·

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Covered by 9 sources including vettedconsumer.com, pathtostaff.com

🤖AI Development GitHub·

Show HN: Alloy – a PyTorch backend and inference engine for Apple Silicon

Discussed on Hacker News

💬LLM Prompting Silicon Opera·

Your LLM Prompt Isn't Being Read the Way You Think

🔬Deep Learning Nature·

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images

🤖AI Development together.ai·

ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet)

Covers 3 stories including NVIDIA/TensorRT-LLM

🧠LLM Engineering freeCodeCamp·

Bloomberg Sponsorship Spotlight: Our Latest Apache Solr Contributions

Why Current AI Guardrails Train Models to Fake Alignment

The Pragmatic Shift: How to Actually Become an AI Engineer in 2026

GLM-5.2

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

CRAfT: Constant-Round Non-Polynomial Approximation and P2P Network for Secure Transformer Inference

Reports: Dallas-Fort Worth Hiring Rebounded in May as AI Tops the Region’s Fastest-Growing Jobs in 2026

Scaling Laws, Carefully

pytorch/executorch ciflow/cuda/20286

Lean Zig by building an LLM from scratch

阿里巴巴被Anthropic指控蒸馏Claude，OpenAI下一代旗舰得先问白宫

Mellum2

Could you help me test MTP for GLM-4.7-Flash?

Loop engineering vs loopmaxxing

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Show HN: Alloy – a PyTorch backend and inference engine for Apple Silicon

Your LLM Prompt Isn't Being Read the Way You Think

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images

ParallelKernelBench: Frontier LLMs can't write fast multi-GPU kernels (yet)

How to Teach a Small LLM to Suggest K12 Creative Project Ideas