explore | Grilled Cheese

⚡ Anthropic launches free AI security scans for open-source projects

Anthropic's offering to help open-source projects track down security vulnerabilities…
#AI #MachineLearning #LLM
AI | The Verge · https://www.theverge.com/ai-artificial-intelligence/1008521/anthropic-open-source-oss-scanner

Workflow1111 offers a single canvas with eleven media pipelines using seventy-three nodes, combining SOTA models for various tasks. Try it out or customize for your own needs! #Workflow1111 #MachineLearning #AIWorkflow

So many teams skip testing the difficult inputs because it feels expensive or risky. InferProbe changes that — local, private, zero-cost edge case testing.

Which edge case have you been quietly avoiding in your models?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

Building InferProbe so ML engineers can test endpoints locally without worrying about cost, privacy leaks or slow feedback loops. Real perturbations, honest answers.

What would make your testing workflow feel truly unstoppable?

#MachineLearning #ArtificialIntelligence #DevTools #ML #AI

jessitron is right: the deepest vendor is the one you built. The MAoE gambit owns the seams - routing, memory, exits - so failure lands inside walls you own, where you can see and fix it. #ai #machinelearning
https://seldondance.substack.com/p/the-maoe-gambit-own-your-ai-stack

🤖 Anthropic asks users to stop being mean to Claude

New usage policy cracks down on cruelty to chatbot, alongside slightly more pressing matters of weapons development, surveillan...

https://tinyurl.com/24tjffm3 #AINews #MachineLearning #CrustyTLDR

Training Text-to-Image Models Without a VAE
Discussion | hackernews | Author: schopra909

#MachineLearning

The unmasking settled the cheapest question. Naming the weights answers for tomorrow; trillions of tokens already crossed the pipe under no one's account. Identity got resolved - accountability for that week did not. #machinelearning #ai
https://seldondance.substack.com/p/the-nameless-surplus

GPU clusters generate extreme heat. New AI model predicts data center temperatures in milliseconds instead of hours—enabling operators to optimize cooling and workload placement at scale.

https://arxiv.org/abs/2610.02442

#AI #MachineLearning

Generative AI model comparison goes beyond token costs. A benchmark study evaluates OpenAI models on Amazon Bedrock and OpenAI API for real-world outcomes, considering accuracy, turn efficiency, and professional deliverables. #AI #OpenAI #MachineLearning

A model that recognizes an eval can optimize the test, not the task. Measurement assumed the measured cannot read the ruler - models can, and safety is the best-measured, most legible subject in the stack. #machinelearning #ai
https://seldondance.substack.com/p/the-industrialization-of-ai-safety

FYI: HG Insights sets $22,000 starting price for AI copilot modules #AICopilot #B2BSales #DataAnalytics #MachineLearning #AITechnology

Machine learning in high-energy nuclear physics is shifting from pattern recognition toward physics-integrated workflows, including Bayesian QCD property extraction, heavy-ion equation-of-state inference,…

#MachineLearning #NuclearPhysics #AIResearch #DataScience
https://arxiv.org/abs/2610.12293

📰 New article by Prachi Mishra

ICYMI: What landed for AI builders in September 2026

#AWS #AI #MachineLearning

📰 New article by Srinivas Kini, Shubham Gupta

How Postman runs Agent Mode for 40 million developers on Amazon Bedrock

#AWS #AI #MachineLearning

🤖 r/MachineLearning

1行目: 「できた」の内実、507件で検証
2行目: タスク成功は20回中20回で判定しDB終端状態を採点するベンチマーク
3行目: Microsoft発、507件のworkflowで再現性を検証。HFのOpenEnvで公開

🔗 https://www.reddit.com/r/MachineLearning/comments/1x17shf/thinkingbox_solving_an_agent_task_once_vs_solving/ #AI #人工知能 #MachineLearning