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: As with any computer code generally, flaws in crypto asset codes, including Bitcoin codes, may be exposed by malicious actors. Several errors and defects have been found previously, including those that disabled some functionality for users and exposed users’ information. Exploitation of flaws in the source code that allow malicious actors to take or create money have previously occurred. Additionally, as AI capabilities improve and are increasingly adopted, we may see cyberattacks created through AI. These attacks could be crafted with an AI tool to directly attack information systems with increased speed and/or efficiency than a human threat actor or create more effective phishing emails. Despite our efforts and processes to prevent breaches, our devices, as well as our miners, computer systems and those of third parties that we use in our operations, are vulnerable to cyber security risks, including cyber-attacks such as viruses and worms, phishing attacks, denial-of-service attacks, physical or electronic break-ins, employee theft or misuse, and similar disruptions from unauthorized tampering with our miners and computer systems or those of third parties that we use in our operations. As technological change occurs, the security threats to our cryptocurrencies will likely change and previously unknown threats may emerge. Human error and the constantly evolving state of cybercrime and hacking techniques may render present security protocols and procedures ineffective in ways which we cannot predict. Such events could have a material adverse effect on our ability to continue as a going concern or to pursue our strategy at all, which could have a material adverse effect on our business, prospects or operations and potentially the value of any Bitcoin we mine or otherwise acquire or hold for our own account.
Assistant: