AI experts emphasize the need to identify transformative applications that demonstrate AI's potential, akin to the impact of Microsoft Excel and Apple's iTunes.

Current limitations of AI include restrictions on entering sensitive information, highlighting the need for caution in its implementation.

While Deep Research provides extensive context for analysis, users are advised to verify the accuracy of the information due to the possibility of referencing unreliable sources.

Mariner, while capable of performing tasks like typing and clicking, requires users to remain present to oversee its actions, limiting its multitasking efficiency.

Public reception of AI advancements has been mixed, with excitement for automation capabilities tempered by concerns over dependency on AI systems.

This AI system can execute programming code and perform tasks that involve thinking, remembering, planning, and acting on behalf of users.

In addition, Project Astra will be tested by select users with prototype smart glasses, while Project Mariner is available through a Chrome extension for trusted testers.

As AI systems evolve, experts stress the importance of safety and responsibility in development, marking a pivotal moment for the industry.

Google has unveiled Gemini 2.0, its latest AI model designed to enhance multimodal capabilities and introduce agentic functionalities.

Among its features, Deep Research allows users to request detailed reports on various topics, streamlining the research process by compiling information from the web.

Despite significant investments in AI by major tech companies, experts express uncertainty about the technology's practical applications and the quest for a 'killer use case'.

The new model has demonstrated a factuality score of 83.6% and a reasoning capability of 62.1%, though it has shown a decline in long-context understanding.