# Can we actually trust an LLM to build a secure codebase? > Source: > Published: 2026-09-02 20:45:06+00:00 ## Latest Posts The performance gap between the latest iterations of these frontier models is widening faster than m… [阿海爱学习](/en/users/阿海爱学习/) Advanced ·Resources · 131 · 4 · 8 ·30m ago Phishing attempts via SMS and email are getting scarily sophisticated, and Amazon is finally leaning… The biggest bottleneck in building a reliable LLM agent isn't the reasoning capability of the model;… The decision to pull AI tools from most New York City classrooms for the next twelve months is a mas… Subscribe to get AI news alerts in your browser — first to know Subscribe → The "creative" boom promised by generative AI has backfired on the very people it was supposed to em… Most founders are building companies that look impressive in a demo but crumble the moment they face… NVIDIA just dropped the announcement for DLSS 5, and if you follow real time rendering or high end g… The era of the "stationary smart speaker" is dying. For years, high end audio setups were anchored t… Most safety benchmarks for LLMs are incredibly boring. They usually throw a single, static prompt at… The gap between OpenAI and Anthropic is narrowing so fast that it's becoming difficult to tell which… I’ve been obsessing over the recent performance leaps from DeepSeek, Qwen, and GLM, and it’s becomin… The sheer scale of capital flowing into Anthropic is becoming hard to ignore. We are looking at a $3… When I tell people I built my portfolio project in .NET, the reaction is usually a confused shrug. "… I used to have a folder filled with nearly 50 hyper optimized templates. I had perfected few shot ex… Amazon is officially moving away from traditional passwords in favor of passkeys, and they are rolli…