The Stack
Responsibility for the attack remains unclear.
Large Language Models can be backdoored by introducing just a limited number of “poisoned” documents during their training, a team of researchers from the UK’s Alan Turing Institute and partners found. “Injecting backdoors through data poisoning may be easier for large models than previously believed as the number of
"inventories, hosts, Ansible playbooks, OpenShift install blueprints, CI/CD runners, VPN profiles, Quay/registry configs, Vault integrations, backups"
Flawed regex...
CISA: "Permanently disconnect these devices on or before September 30, 2025"
Want to lock yourself into AWS hardware in your co-lo or server room? Now you can, you weirdo.
Echostar spectrum and V3 satellites...