Ivy Caldwell
LinkedIn is launching an innovative tool that empowers users to experiment with the latest artificial intelligence models from various providers. This feature serves as a means for users to “taste test” their outputs, allowing them to identify and select the best AI tools that suit their specific needs.
LinkedIn’s Crosscheck is meticulously crafted to assist users in discovering the most suitable AI tools for their unique requirements, while simultaneously providing valuable feedback to AI developers to enhance their offerings.
Currently, Crosscheck is available for LinkedIn Premium members in the U.S., enabling them to test the latest models from OpenAI, Anthropic, Google, Microsoft, and others, all centralized within one platform.
Within the Crosscheck feature, Premium users can submit any prompt, which will be matched against the various AI tools accessible through Crosscheck. The system then generates two responses from different AI models, without disclosing which models were utilized, allowing users to assess and rate the responses based on quality.
The ratings collected from these assessments play a crucial role in refining AI models. LinkedIn actively shares user interactions and feedback with AI model developers, facilitating product improvements and enhancements.
Additionally, there are leaderboards showcasing the top-performing AI tools based on queries made through Crosscheck, categorized across various verticals.
The overarching goal of this initiative is to provide deeper insights into the specific value that each AI tool offers to professional users. Insights gathered from LinkedIn’s community can serve as a valuable metric for assessing the relative performance of different models across sectors and query types. This could also aid LinkedIn in assisting its users to identify the most appropriate models that align with their requirements.
While LinkedIn may show a preference for OpenAI, particularly at this stage, it is evident that the tool aims to remain impartial.
LinkedIn’s parent company, Microsoft, has invested billions into OpenAI to ensure access to OpenAI’s tools within its suite of applications. Meanwhile, Microsoft is also developing proprietary AI models and strategies, aiming to decrease its dependence on OpenAI’s systems, although it still relies heavily on OpenAI models for now.
This dynamic could potentially give OpenAI’s tools a slight advantage in evaluations, yet the leaderboards remain diverse, reflecting a wide array of AI models.
Regardless, this initiative exemplifies LinkedIn’s commitment to embracing the AI revolution, which has become a central focus for the platform, as it seeks to guide its members through the evolving landscape of technology.
Indeed, there is a prevalent sentiment on LinkedIn that “AI isn’t going to replace your job, but individuals who utilize AI will,” underscoring the professional shift towards AI adoption and the critical need for developing AI skills.
However, actual business insights regarding AI usage reveal a somewhat different narrative. A recent study conducted by the National Bureau of Economic Research highlighted that among 6,000 business executives from the U.S., U.K., Germany, and Australia, 89% reported observing almost no change in labor productivity over the past three years, despite the widespread adoption of AI. While modest improvements are anticipated in the future, it is essential to recognize that the projected advantages and the current reality have yet to align.
Tessa Everly
Mason Thompson
