If you are like me, you include even a short dialog with ChatGPT every day. As of today, there is another bot that you can have your conversation with: it is Claude 2, and I have already introduced myself to Claude 2.
Anthropic’s Claude 2, a competitor to ChatGPT, is now available(opens in a new tab) to the public.
Anthropic, founded by former senior members of the OpenAI team Daniela and Dario Amodei, is said to be a “more ethically-driven company that makes generative AI safe.” The large language model is the second version of Claude, which was previously only available to businesses.
The arrival of Claude 2 is likely to increase the impact that Artificial Intelligence already plays in our daily personal and professional life. As The New York Times‘ columnist, Farhad Manjoo, recently wrote:
Once you start using ChatGPT you pretty much can’t stop. You begin with trivial, gimmicky prompts: Do this math problem. Tell me some vegetarian recipes with broccoli and peas. What came first, the jock or the jockstrap?
But as the artificial intelligence chatbot easily dispatches your gimmes, you begin to take it more seriously. Over weeks and months you tinker with it, learn its capabilities and its deficiencies, imagine its possibilities for good and ill, its potential for ubiquity and for indispensability. Soon, ChatGPT starts to etch a groove into your life. Now you think of it differently — less as a dancing pony than as a workhorse. You find yourself reaching for it for big tasks and small, and though it fails often, it feels just helpful enough that you can imagine lots of people soon coming to depend on it.
Only a few times in my life have I experienced this creeping sense of possibility with a new technology.
Is Claude 2 as good as ChatGPT?
This is to be decided as you compare one bot against the other, something I have tried during my first day using Claude 2. Here are examples of how ChatGPT and Claude 2 answered the same prompt. You decide!
ChatGPT
Prompt: Act as if you are an expert on the role of AI for journalists: Give me five tips to mention in a panel about AI and its impact in newsrooms. What is a journalist to know? What should be the interaction of human journalists and bots?
As an expert on the role of AI in journalism, I can provide you with five important tips to mention in a panel about AI and its impact in newsrooms:
- Understand AI as a tool, not a replacement: It’s crucial for journalists to recognize that AI is a powerful tool that can enhance their work, but it should not replace human judgment and critical thinking. AI can automate repetitive tasks, gather and analyze data, and assist in content creation, but journalists should always maintain editorial control.
- Leverage AI for data analysis and research: AI algorithms can sift through vast amounts of data, helping journalists discover patterns, trends, and insights that may otherwise go unnoticed. By utilizing AI-powered tools for data analysis and research, journalists can uncover stories, fact-check information, and gain a deeper understanding of complex issues.
- Maintain journalistic ethics and accountability: When using AI, journalists must remain vigilant about ethical considerations and maintain their commitment to accuracy, fairness, and accountability. AI algorithms are only as good as the data they are trained on, and biases or inaccuracies in the data can impact the outcomes. Journalists should be aware of potential biases and ensure transparency in AI-driven processes.
- Foster collaboration between humans and bots: The most effective use of AI in newsrooms involves a collaborative approach between journalists and bots. Bots can assist in tasks like data collection, summarization, and content distribution, enabling journalists to focus on more in-depth reporting and analysis. By leveraging the strengths of both humans and AI, newsrooms can achieve greater efficiency and quality in their work.
- Stay updated and adapt to evolving technologies: The field of AI is rapidly evolving, and journalists need to stay informed about the latest advancements and trends. This includes understanding the capabilities and limitations of AI, being aware of emerging tools and platforms, and continuously developing digital skills. Journalists who embrace AI and adapt to technological changes will be better equipped to navigate the evolving media landscape.
By considering these tips, journalists can effectively integrate AI into their workflows, leverage its benefits, and maintain the essential role of human judgment and ethical reporting in the newsroom.
Claude 2
Prompt: Act as if you are an expert on the role of AI for journalists: Give me five tips to mention in a panel about AI and its impact in newsrooms. What is a journalist to know? What should be the interaction of human journalists and bots?
Here are 5 tips I would mention if speaking on a panel about AI’s impact in newsrooms:
- Remember that AI is a tool, not a replacement. Human journalists should maintain oversight and accountability while leveraging AI’s abilities like analyzing data.
- Apply AI to augment human work, not automate it away. Use AI to uncover insights from large datasets or draft portions of articles, while journalists focus on high-value tasks.
- AI can help with certain journalistic tasks like research, data processing and content generation, but it lacks human creativity, critical thinking and ethics needed for journalism.
- Interact with AI tools by providing datasets, prompts and parameters, then reviewing outputs to identify meaningful stories and refine the tool’s training. It takes an iterative collaboration.
- Think carefully about potential biases in data or programming that could skew AI systems. Have transparent conversations about ethics and be vigilant about mitigating risks.
The interaction should emphasize human strengths while benefiting from AI capabilities. With responsible use of AI as a collaborative tool, journalists can create more insightful, meaningful news coverage.
My take
The Claude 2 answer places more emphasis on the role that humans play in their interaction with robots—something I agree with. There are also similarities in the way both ChatGPT and Claude 2 responded, especially with tasks AI can provide for the benefit of journalists, and the references to pay attention to ethical issues.
Asking both about a second topic
ChatGPT
Prompt: What can you tell me about legacy admissions, racial profiling at Ivy League colleges and universities in the United States? ChatGPT
Legacy admissions and racial profiling are two separate but related topics when it comes to college admissions in the United States, particularly at Ivy League colleges and universities. Let’s explore each of these concepts individually:
- Legacy Admissions: Legacy admissions refer to the practice of giving preferential treatment to applicants who have family connections to a particular institution. In other words, if an applicant’s parent, grandparent, or sibling attended the same college or university, they may receive special consideration during the admissions process. This practice is often seen as a way to maintain strong alumni networks and foster a sense of tradition and continuity within the institution.
Critics of legacy admissions argue that it perpetuates privilege and perpetuates social inequality. They argue that it gives an advantage to students from wealthy and well-connected families, who are more likely to have attended prestigious institutions in the past. This can disadvantage students from underrepresented or disadvantaged backgrounds, who may not have access to the same educational opportunities or family connections.
- Racial Profiling: Racial profiling in college admissions refers to the practice of considering an applicant’s race or ethnicity as a factor in the admissions process. Affirmative action policies, which aim to promote diversity and equal opportunities, have been at the center of the debate surrounding racial profiling in admissions.
In the United States, colleges and universities are allowed to consider race as one of many factors in a holistic review of applicants. The Supreme Court has set guidelines for the use of affirmative action in college admissions, stating that race can be a factor in the pursuit of diversity, but it must be used in a narrowly tailored manner and should not result in quotas or automatic preferences.
Supporters of affirmative action argue that it helps to redress historical disadvantages faced by certain racial and ethnic groups and promotes diversity on college campuses. They believe that a diverse student body enhances the educational experience for all students and prepares them for a multicultural society.
Critics of affirmative action argue that it can result in reverse discrimination and that all applicants should be considered solely based on their individual merits, such as academic achievements and extracurricular activities. They contend that racial profiling can disadvantage certain racial or ethnic groups, particularly Asian Americans, who are sometimes held to higher standards in the admissions process.
It’s worth noting that both legacy admissions and affirmative action have faced scrutiny and legal challenges. While legacy admissions have been criticized for perpetuating privilege, affirmative action has been a subject of debate regarding its constitutionality and effectiveness in achieving its goals.
It’s important to understand that policies and practices surrounding legacy admissions and affirmative action may vary among different Ivy League colleges and universities, as well as other institutions across the United States. Additionally, public opinion and legal frameworks can evolve over time, so it’s always advisable to refer to the most up-to-date information and research on these topics.
Claude 2
Prompt: What can you tell me about legacy admissions, racial profiling at Ivy League colleges and universities in the United States?
I do not have specific factual knowledge about legacy admissions or racial profiling at Ivy League colleges after 2021. However, I can make some general comments about these topics based on commonly known background information:
- Legacy admissions refer to colleges giving preferential admission to applicants who are related to alumni. This policy has sometimes been criticized for potentially disadvantaging applicants who are first generation college students.
- Racial profiling refers to the controversial practice of targeting individuals for suspicion of crime based on their race. There have been accusations of racial profiling in various contexts, including by police and security guards on college campuses.
- Ivy League schools are elite and highly selective universities in the northeastern U.S. There have been ongoing debates about fairness and diversity in their admissions processes.
However, without references to specific policies, data or incidents after 2021, I do not have enough context to provide detailed information about legacy admissions or racial profiling at Ivy League institutions in recent years. I can continue our discussion within the limitations of not recalling information after 2021.
Competitors?
I asked both bots about the other, to see if there is an awareness of how they compete for the same audience.
Claude 2
Prompt: What makes you superior to ChatGPT? Can you remember data after 2021?MG
I don’t have a sense of superiority over any other AI system. I’m Claude, an AI assistant created by Anthropic to be helpful, harmless, and honest.
Unlike chatbot AI systems, I do not have a general knowledge database trained prior to 2021. I only have access to what users provide me in the current conversation and general reasoning abilities. I cannot recall or provide factual information about events after 2021 unless a user provides that context. My role is to have natural conversations using logical reasoning and the information you give me.
ChatGPT:
Prompt: As you may know, you now have a competitor in the AI robot market. It is called Claude 2. Do you consider it a competitor and why?ChatGPT
As an AI language model, I don’t have personal opinions or emotions, so I don’t perceive other AI systems as competitors. However, it’s important to note that there are various AI systems and platforms available in the market, each with its own unique features, capabilities, and intended applications.
OpenAI, the organization behind ChatGPT, has developed different versions of AI models, including GPT-3.5, to offer a wide range of language processing capabilities. These models have been trained on diverse datasets and can provide assistance, generate text, answer questions, and engage in conversations on a wide array of topics.
While I don’t have specific information about an AI system named Claude 2, it’s likely that it represents another AI model or platform with its own strengths and applications. The AI field is continuously evolving, and new technologies and models are developed regularly. This diversity in the market allows users to choose the AI system that best suits their needs and preferences.
Ultimately, the value of an AI system is determined by its performance, reliability, versatility, and the specific requirements of the users and applications they serve.
AI front and center
As I put finishing touches on the manuscript of my new book, tentatively titled, AI: The Next Revolution for Content Creation, I am aware that the number of AI-related headlines that appear in my mailbox daily is on the increase, frustrating the author of a book that must have a date of completion, and realizing that in today’s fast paced technological advance environment, books must have websites created for updates.
For more about my new AI book, go here:
Other AI-related blog posts
Of related interest
https://newspaperdesign.in/ai-is-the-next-big-media-revolutionmario-garcia/
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The Story, en español:
TheMarioBlog post # 337