One of the most powerful AI models of its time, trained with huge computing power, which laws often treat as needing extra safety checks.
AI Drafted with AI help · Reviewed by Keshav Aggarwal · Updated
In simple words
Think of the tallest, newest buildings in a city. Because they are so big, they get extra safety inspections that a small house does not need.
Frontier models are the biggest and newest AI models. Because they can do so much, governments want extra checks on them.
The technical side
A frontier model is a general-purpose AI model at or near the leading edge of capability, usually trained by a large lab with vast amounts of computing power. Laws often draw the line by training compute: the EU AI Act presumes “systemic risk” for general-purpose models trained with more than 10^25 floating-point operations, and California’s Transparency in Frontier Artificial Intelligence Act (SB 53, 2025) uses 10^26 to set duties such as publishing safety frameworks and reporting incidents.
On 11 November 2026 Futurism reported a draft Ban Superintelligence Act, backed by Representatives Greg Casar and Alexandria Ocasio-Cortez and Senator Bernie Sanders, under which a new Department of Artificial Intelligence would issue permits to work on “advanced” AI and set a threshold that changes as the technology improves. It is a draft and has not passed. Compare leading models on AI models.
Frontier Model kya hai?
Frontier model apne samay ke sabse taakatwar AI models hote hain, jinhe bahut zyada computing power se train kiya jaata hai. Isliye kayi kaanoon inke liye extra safety checks maangte hain. Nov 2026 mein US mein ek draft bill ki khabar aayi jo aise AI par kaam karne ke liye sarkari permit maangta hai.
Related terms
- LLM (Large Language Model)AIAn AI model trained on huge amounts of text so it can read and write language, like the models behind ChatGPT, Claude and Gemini.
- SuperintelligenceAIAn AI that would be far smarter than the best humans at almost every task, from science to planning. No such system exists today.
- ParametersAIThe numbers inside an AI model that it learned in training. Model size is counted in parameters, often billions of them.
- Red TeamingAITesting an AI by attacking it on purpose, trying to make it break rules or cause harm, so the problems are fixed before the public uses it.
- Open WeightsAIAn AI model whose trained numbers (weights) are published, so anyone can download it and run it on their own computers.