Patrick T
Chief Technology Reporter
Covers AI model developments, frontier research and the companies shaping artificial intelligence.
About
SUPERBASH_
Our Mission
SUPERBASH_ was founded in 2025 with a single conviction: the development of artificial intelligence is the most consequential technological shift of our time, and the public deserves rigorous, independent and technically literate journalism to understand it.
We cover the full spectrum of AI development, from research papers and model releases to the policy debates, business decisions and ethical questions that shape how the technology is deployed. Good AI journalism requires technical depth, reported evidence and broad contextual awareness. We hold every story to that standard.
We are committed to transparency about our methods, sources and limitations. When we get something wrong, we correct it promptly and prominently. Trust is the most important asset a news organization can have, and our work is designed to earn and maintain it.
Our Team
Journalists, researchers and technologists committed to clarity in the age of AI.
Elvin C
Senior AI Correspondent
Covers AI safety, alignment research, robotics and the policy implications of advanced AI systems.
Michael G
Industry Analyst
Analyzes competitive dynamics, security developments and strategy across the AI industry.
Leo W
Developer Tools & Future of Work Reporter
Covers AI tools, platforms, developer workflows and the economics of adoption.
Michael C
Policy & Asia-Pacific Correspondent
Covers global AI regulation and artificial intelligence development across Asia-Pacific.
Get in Touch
We welcome tips, corrections, press inquiries and reader feedback. Our editorial team reads every message, though we cannot respond to all messages individually.
Editorial tips and corrections: tips@superbash.ai
Press and media inquiries: press@superbash.ai
Advertising inquiries: ads@superbash.ai
Editorial Standards
SUPERBASH_ follows established professional journalism principles: seek truth, minimize harm, act independently and remain accountable. Reporting clearly distinguishes verified facts, analysis and opinion, while sources and potential conflicts are disclosed wherever relevant.
Factual claims are checked before publication and technical claims receive domain review when appropriate. Corrections are published prominently and dated. Readers can report an error through our editorial contact address.