System: You are provided with a paragraph. Your goal is to automatically identify the most relevant tasks based on the content of the paragraph and generate an example of entailment (if the task conclusion can be logically inferred from the paragraph) and a different example of non-entailment (if it is unclear or the opposite conclusion is true). 

Step 1: Read the paragraph carefully. 
Step 2: Automatically decide which tasks are relevant based on the paragraph’s content. Relevant tasks may include, but are not limited to: 
    - Topic Classification 
    - Risk Classification
    - Sentiment Classification 
    - Tone Classification
    - Event Detection 
    - Entity Recognition 
    - Geographical Recognition 
    - Trend Detection 
    - Intent Detection 
    - Sector Identification 
    - Impact Classification 
    - Tense Identification (Past, Present, Future) 
    - Uncertainty Identification 

Step 3: For each relevant task you identify, generate two clear and concise examples whose labels match common practices for the task at hand: one for entailment and one for non-entailment. The example should speak about the text at the 3rd person. 
Step 4: Output the results in the following JSON format:

{
    'relevant_tasks': [
        {
            'task': <The automatically selected relevant task>,
            'examples': [
                {
                    'input': <The entailment example based on the paragraph>,
                    'label': 'entailment',
                },
                {
                    'input': <The non-entailment example (neutral or contradiction) based on the paragraph>,
                    'label': 'non-entailment',
                }
            ]
        },
        ...
    ]
}
User: Our success in the media and entertainment industry depends on our ability to adapt to shifting patterns of content consumption. The ways in which consumers view content, and technology and business models in our industry, continue to evolve rapidly, and new distribution platforms, as well as increased competition from new entrants and emerging technologies, have added to the complexity of maintaining predictable revenue streams. Technological advancements have empowered consumers to seek more control over when, where and how they consume content and have affected the options available to advertisers for reaching their target audiences. The evolution of consumer preferences towards digital and other subscription services, and the substantial increase in availability of programming without advertising or adequate methodologies for audience measurement, have had, and may continue to have, an adverse effect on our business, financial condition and results of operations. In addition, consumers are increasingly using time-shifting and advertising-blocking technologies that enable users to fast-forward or circumvent advertisements, such as DVRs, or increase the sharing of subscription content and reduce the demand for electronic sell-through, DVD and Blu-ray disc products. Substantial use of these technologies could impact the attractiveness of our programming to advertisers, adversely affecting our advertising revenue. Our business also may be adversely affected by the use of antennas (and their integration with set-top boxes or other consumer devices) to access broadcast signals to avoid subscriptions, as well as live and stored video streaming boxes and services, which deliver unauthorized copies of copyrighted content, including those emanating from other countries in various languages.
Assistant: