OpenAI has released its latest large language model, GPT 5.2, dubbed Garlic. This very cool announcement occurred on the same day that the tech world was abuzz awaiting Google’s unveiling of its latest artificial intelligence research assistant. Much to our vexation, it represents the biggest leap forward in artificial intelligence. It aims squarely at the troubling issue of AI hallucinations, a phenomenon where language models fabricate or otherwise disseminate inaccurate information.
AI hallucinations have plagued the industry, but GPT 5.2 addresses this with a firm hand. This issue has recently become a major pain point in applications that necessitate long-running, deep reasoning tasks. These flaws can erode the trustworthiness of AI systems, particularly in high-stakes environments where accurate details are critical. OpenAI is already doing something to change this worrisome trend. Their work is especially important as AI technologies are increasingly integrated into all sectors of society.
To better gauge the abilities of its new model, OpenAI created a new benchmark for it, DeepSearchQA. This benchmark aims to provide a clear measure of AI agents’ performance against truly complex, multi-step information-seeking tasks. OpenAI is establishing a very high bar for testing. This will increase the reliability and efficacy of its language models, allowing them to respond to more sophisticated questions.
OpenAI evaluated GPT 5.2 on the DeepSearchQA benchmark. They further tested the model on the independent benchmark Humanity’s Last Exam. Yet this evaluation pits applicants against an array of tasks that often feel impossibly niche. It extends the frontier of commonsense knowledge and reasoning capabilities in AI. The difficult, unusual, and unexpected tasks almost act as a litmus test for how well the model overall has learned to adapt to its environment.
Furthermore, OpenAI evaluated GPT 5.2 on BrowserComp, a benchmark for browser-based agentic tasks. Those tests will show, for the first time, what the model does well and what it’s doing poorly. They are particularly critical when traversing highly complicated web ecosystems.
GPT 5.2’s release and its accompanying benchmarks have sent the tech world buzzing with anticipation. All eyes are on San Francisco’s next Techcrunch Disrupt in 2026, October 13-15! Industry experts and stakeholders are keen to explore the implications of these advancements and their potential impact on the future of artificial intelligence.
