Should I use Claude or chatgpt?

I have about 2 weeks until my M&A internship starts, and I haven't touched accounting, technicals, or Excel in over a month. I had to focus on exams, and before that I was grinding interview prep, so there just wasn't enough time to keep everything fresh simultaneously.

I know the situation isn't ideal, but I couldn't realistically juggle interview prep, exams, technical review, and still get enough sleep without burning out.

With only 2 weeks left, my plan is mainly revision rather than trying to learn anything new. For refreshing Excel skills, reviewing accounting/valuation concepts, doing some data analysis practice, and creating condensed study guides, which AI tool would you recommend: ChatGPT or Claude?

I've heard Claude is generally better for data analysis and coding-related tasks, but in my experience ChatGPT feels more precise for reviewing material, summarizing concepts, and analyzing text. That said, I might be biased since I've used ChatGPT more.

For those who've used both, which would you recommend for internship prep (and generally to use during internship whenever I forget something technical(ofc I am NOT gonna upload any company related documents)) over the next couple of weeks? I am not really a big AI user and I have heard I should be using it more so I guess I'm gonna give it a try.

17 Comments
 
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I dunno man, tough one. Have you tried asking Grok?

"If you don't have any enemies in life you have never stood up for anything" - Winston Churchill | "It's a testament to the sheer belligerence of the profession that people would rather argue about the 'risk-adjusted returns' of using inferior tooth cleaning methods." - kellycriterion
 
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I used to use ChatGPT, then CoPilot was the only AI allowed at my old bank, and now my current company has gone all-in on Claude. Claude is far superior and once you learn how to use CoWork and Code versions, you’ll see why too. For your specific use case, do these steps in Claude:

- Create a dedicated Claude folder on your desktop/documents

- start a new CoWork project and link that folder

- ask it to create an “About Me” markdown file and just write about yourself and the types of topics you know and want a refresher on

- then ask it to create an html to help you prepare for your IB internship and ask it to ask you any clarifying questions.

You should then have a nice dynamic dashboard to guide your studies

 

I have heard 4.8 is awful and most people went back to using 4.6, is that true? Also which one should i use for most work questions/work like thinking low medium high or max? I should probably learn using it before i fall behind. 

 

I’d think less about “Claude vs ChatGPT” and more about chatbot vs coding agent. Examples of small local workflows around repeatable analyst work:

  • Comps refresh agent: drop in new CapIQ / Bloomberg exports, have it clean the data, standardize tickers / units / periods, regenerate the comps table, and show what changed vs the last version.
  • Earnings update agent: add a new earnings release / transcript, have it compare against the prior quarter, flag guidance changes, KPI movement, language changes, and pages in your old deck that likely need updating.
  • Precedent transaction builder: have it create a sourced first-pass deal database from public announcements / filings, with buyer, target, date, value, multiple, rationale, and deal theme.

You don’t need to become a software engineer. You just need to describe the workflow clearly: inputs, source hierarchy, transformations, checks, outputs, and what “wrong” looks like. 

Read more of my writing here: https://consulting2tech.substack.com/
 

Idk if I'd say ate their lunch, they started targeting fundamentally different markets with different offerings to users. OAI started on the consumer side and more general purpose, which with a low cost subscription model and no rate limiting was bound to scale to an unsustainable level while also hitting a hard ceiling on how they can price. Anthropic was smart and targeted a specific vertical (coding) and went to the enterprise side first, also without rate limiting which caused some pain but they were able to sustain it long enough to get embedded into people's workflows and (relative to consumers) enterprises at least are more inelastic to pricing. Good move by them. 

"If you don't have any enemies in life you have never stood up for anything" - Winston Churchill | "It's a testament to the sheer belligerence of the profession that people would rather argue about the 'risk-adjusted returns' of using inferior tooth cleaning methods." - kellycriterion
 

Well yeah I'd say it was a mistake for OpenAI to target consumer, especially products like Sora which were extremely costly.

By far, coding has been the most valuable use case of LLMs. I haven't used Codex yet but would only start if Claude Code rate limits get painful. OpenAI messed up a big lead here.

 

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"If you don't have any enemies in life you have never stood up for anything" - Winston Churchill | "It's a testament to the sheer belligerence of the profession that people would rather argue about the 'risk-adjusted returns' of using inferior tooth cleaning methods." - kellycriterion

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