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: The tax regimes that we are subject to or operate under, including income and non-income taxes, may be subject to significant change. Changes in tax laws, regulations, or rulings, or changes in interpretations of existing laws and regulations, could materially affect our financial condition and results of operations, and we must monitor such changes closely. For example, the TCJA, the Coronavirus Aid, Relief, and Economic Security Act enacted in 2020 and the Inflation Reduction Act enacted in 2022, made many significant changes to the U.S. tax laws, especially with regard to international aspects of taxation. Further, effective January 1, 2022, the TCJA eliminated the option to deduct research and development expenses for tax purposes in the year incurred, and instead requires taxpayers to capitalize and subsequently amortize such expenses over five years for research activities conducted in the U.S. and over 15 years for research activities conducted outside the U.S. Although there have been legislative proposals to repeal or defer the capitalization requirement to later years, there can be no assurance that the provision will be repealed or otherwise modified. Future guidance from the IRS and other tax authorities with respect to any existing or new laws may affect us, and certain aspects of such laws could be repealed or modified in future legislation. In addition, it is uncertain if and to what extent various states in the U.S. will conform to U.S. federal tax laws. In addition, the OECD has been working on a BEPS Project and issued a report in 2015, an interim report in 2018, and has issued additional guidelines, model rules, and final proposals that may change various aspects of the existing framework under which our tax obligations are determined in many of the countries in which we do business. In particular, the OECD is coordinating the implementation of rules to be adopted from 2023 for taxing the digital economy, specifically with respect to nexus and profit allocation (Pillar One), and for a global minimum tax (Pillar Two). While these and other BEPS initiatives are in the final stages of approval and/or implementation, we
Assistant: