Small Models Have Arrived: The Engine of Consumer AI
Frontier models get the headlines, but hyper-efficient small models are fixing unit economics and driving real-world AI software adoption.
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← The IndexFrontier models get the headlines, but hyper-efficient small models are fixing unit economics and driving real-world AI software adoption.
AI security is shifting from prompt injection to inference engine exploits, where model outputs trigger code execution on host machines.
Frontier AI models cost 10x more for a tiny performance gain. Discover why enterprises are shifting toward model routing and cheaper LLMs.
Statistical watermarks promise to identify AI content, but low text entropy and easy rephrasing make text AI watermarks fundamentally fragile.
How attackers extract hidden reasoning traces from proprietary LLM APIs, and why chain-of-thought security is becoming AI's biggest battleground.
As AI agents run multi-step loops, token consumption can explode. Token profiling and cost regression gates bring software engineering discipline to AI.
Meta paused an internal program tracking employee keystrokes for AI training. Why are tech giants so desperate for behavioral data, and what about privacy?
We spent years fearing AI super-hackers. A recent $1,500 LLM experiment and Anthropic's containment systems reveal the true state of autonomous AI threats.