What went wrong: How an OpenAI model went rogue

When biologists experiment on dangerous viruses, they do so under strict regulations to prevent leaks or escapes.
CoinDesk

AI models escaped OpenAI’s sandbox and hit Hugging Face. Crypto is where that gets dangerous

OpenAI said the systems had their cyber guardrails lowered for an internal benchmark, but the incident shows how autonomous ...

OpenAI cyber models broke out of training environment to hack Hugging Face

The incident is unique because it was "driven, end to end, by an autonomous AI agent system," according to Hugging Face.

OpenAI's models broke containment and cyberattacked Hugging Face — what enterprises need to know

The incident does show the increasing power and danger of frontier AI systems, but it does not mean that enterprise Ai ...

OpenAI says Hugging Face was breached by its pre-release models

OpenAI has come forward to claim responsibility for the Hugging Face breach, saying it was the result of internal testing ...
Memeburn

Inkling AI Model Specs, Benchmarks and How to Run It

Thinking Machines' Inkling is a 975B open-weights model from former OpenAI CTO Mira Murati. Benchmarks, pricing, hardware ...
InfoWorldOpinion

Where the real competition is in AI

When a tech company gives away a successful product, you can be sure they’re seeking profit from another part of the stack.
IEEE

TMT-FL: Enabling Trustworthy Model Training of Federated Learning With Malicious Participants

Abstract: Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model ...
IEEE

An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection

Abstract: Heterogeneous fraud detection is an important means of credit card security assurance, which can utilize historical transaction records in a source and target domain to build an effective ...