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Perplexity Deep Research
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Re: Perplexity Deep Research
#12I'm super happy that these types of deep research applications are being released because it seems like such an obvious use case for LLMs. I ran Perplexity through some of my test queries for these. One query that it choked hard on was, "List the college majors of all of the Fortune 100 CEOs" OpenAI and Gemini both handle this somewhat gracefully producing a table of results (though it takes a few follow ups to get a…
Hopefully the end user of these products know something about LLMs and why asking a question such as "List the college majors of all of the Fortune 100 CEOs" is not really suited well for them.
Re: Perplexity Deep Research
#13That's the third product to use "Deep Research" in its name. The first was Gemini Deep Research: https://blog.google/products/gemini/google-gemini-deep-resea... - December 11th 2024 Then ChatGPT Deep Research: https://openai.com/index/introducing-deep-research/ - February 2nd 2025 Now Perplexity Deep Research: https://www.perplexity.ai/hub/blog/introducing-perplexity-de... - February 14th 2025.
It is a term of art now in the field.
Re: Perplexity Deep Research
#14I'm super happy that these types of deep research applications are being released because it seems like such an obvious use case for LLMs. I ran Perplexity through some of my test queries for these. One query that it choked hard on was, "List the college majors of all of the Fortune 100 CEOs" OpenAI and Gemini both handle this somewhat gracefully producing a table of results (though it takes a few follow ups to get a…
Hopefully the end user of these products know something about LLMs and why asking a question such as "List the college majors of all of the Fortune 100 CEOs" is not really suited well for them.
Perhaps you can enlighten us as to why this isn't a good use case for an LLM during a deep research workflow.
Re: Perplexity Deep Research
#15I'm super happy that these types of deep research applications are being released because it seems like such an obvious use case for LLMs. I ran Perplexity through some of my test queries for these. One query that it choked hard on was, "List the college majors of all of the Fortune 100 CEOs" OpenAI and Gemini both handle this somewhat gracefully producing a table of results (though it takes a few follow ups to get a…
Hopefully the end user of these products know something about LLMs and why asking a question such as "List the college majors of all of the Fortune 100 CEOs" is not really suited well for them.
For those that don't know, including myself, why would this question be particularly difficult for an LLM?
Re: Perplexity Deep Research
#16In about 2 weeks since OpenAI launched their $200/mo version of Deep Research, it has already been open sourced within 24 hours (Hugging Face) and now being offered for free by Perplexity. The pace of disruption is mind boggling and makes you wonder if OpenAI has any moats left.
Re: Perplexity Deep Research
#17In about 2 weeks since OpenAI launched their $200/mo version of Deep Research, it has already been open sourced within 24 hours (Hugging Face) and now being offered for free by Perplexity. The pace of disruption is mind boggling and makes you wonder if OpenAI has any moats left.
As a current OpenAI subscriber (just the regular $20/mo plan), I'm happy to not spend the effort switching as long as they stay within a few negligible percent of the State of the Art.
I tried DeepSeek, it's fine, had some downtime, whatever, I'll just stick with 4o. Claude is also fine, not noticeably better to the point where I care to switch. OAI has my chat history which is worth something I suppose - maybe a week of effort of re-doing prompts and chats on certain projects.
That being said, my barrier to switching isn't that high, if they ever stop being close-to-tied for first, or decide to raise their prices, I'll gladly cancel.
I like their API as well as a developer, but it seems like other competitors are mostly copying that too, so again not a huge reason to stick with em.
But hey, inertia and keeping pace with the competition, is enough to keep me as a happy customer for now.
Re: Perplexity Deep Research
#18That's the third product to use "Deep Research" in its name. The first was Gemini Deep Research: https://blog.google/products/gemini/google-gemini-deep-resea... - December 11th 2024 Then ChatGPT Deep Research: https://openai.com/index/introducing-deep-research/ - February 2nd 2025 Now Perplexity Deep Research: https://www.perplexity.ai/hub/blog/introducing-perplexity-de... - February 14th 2025.
It failed my first test which concerned Upside magazine. All of these deep research versions have failed to immediately surface the most famous and controversial article from that magazine, "The Pussification of Silicon Valley." When hinted, Perplexity did a fantastic job of correcting itself, the others struggled terribly. I shouldn't have to hint though, as that requires domain knowledge that the asker of a query might be lacking.
We're mere months into these things, though. These are all version 1.0. The sheer speed of progress is absolutely wild. Has there ever been a comparable increase in the ability of another technology on the scale of what we're seeing with LLMs?
Re: Perplexity Deep Research
#19It's great to see the foundation model companies having their product offerings commoditized so fast - we as the users definitely win. Unless you're applying to be an intern analyst of some type somewhere... good luck in the next few years.
I'm just starting to wonder where we as the entrepreneurs end up fitting in.
Every majorly useful app on top of LLMs has been done or is being done by the model companies:
- RAG and custom data apps were hot, well now we see file upload and understanding features from OAI and everyone else. Not to mention longer context lengths.
- Vision Language Models: nobody really has the resources to compete with the model companies, they'll gladly take ideas from the next hot open source library and throw their huge datasets and GPU farm at it, to keep improving GPT-4o etc.
- Deep Research: imo this one always seemed a bit more trivial, so not surprised to see many companies, even smaller ones, offering it for free.
- Agents, Browser Use, Computer Use: the next frontier, I don't see any startups getting ahead of Anthropic and OAI on this, which is scary because this is the 'remote coworker' stage of AI. Similar story to Vision LMs, they'll gladly gobble up the best ideas and use their existing resources to leap ahead of anyone smaller.
Serious question, can anyone point to a recent YC vertical AI SaaS company that's not on the chopping block once the model companies turn their direction to it, or the models themselves just become good enough to out-do the narrow application engineering?
See e.g. https://lukaspetersson.com/blog/2025/bitter-vertical/
Re: Perplexity Deep Research
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