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Perplexity Deep Research

perplexity.ai

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Re: Perplexity Deep Research

#151

Post by robwwilliams »

CjHuber wrote: post #93
TeMPOraL wrote: post #83

Earlier quoted context omitted.

Gemini was also "use us through this weird interface and also you can't if you're in the EU"; that + being far behind OpenAI and Anthropic for the past year means, they failed to reach notoriety, partly because of their own choices.

Honestly I don‘t get why everybody is saying Gemini is far behind. Like for me Gemini Flash Thinking Experimental performs far far better then o3 mini

I can tell you why I just stopped using Gemini yesterday.

I was interested in getting simple summary data on the outcome of the recent US election and asked for an approximate breakdown of voting choices as a function age brackets of voters.

Gemini adamantly refused to provide these data. I asked the question four different ways. You would think voting outcomes were right up there with Tiananmen Square.

ChatGPT and Claude were happy to give me approximate breakdowns.

What I found interesting is that the patterns if voting by age are not all that different from Nixon-Humphrey-Wallace in 1968.

Re: Perplexity Deep Research

#152

Post by wincy »

ThouYS wrote: post #111
wincy wrote: post #24

Earlier quoted context omitted.

My interest was piqued and I’ve been trying ChatGPT Pro for the last week. It’s interesting and the deep research did a pretty good job of outlining a strategy for a very niche multiplayer turn based game I’ve been playing. But this article reminded me to change next month’s subscription back to the premium $20 subscription. Luckily work just gave me access to ChatGPT Enterprise and O1 Pro absolutely smoked a really…

what kind of problem was it?

Authorization policy vs authorization filters in a .NET API. It’s not something I’ve used before and wanted permissive policies (the db to check if you have OR permissions vs AND) and just attaching attributes so the dev can see at a glance what lets you use this endpoint.

It’s a well documented Microsoft process but I didn’t even know where to begin as it’s something I hadn’t used before. I gave it the authorization policy (which was AND logic, and was async so it’d reject it any of them failed) said “how can I have this support lots of attributes” and it just straight up wrote the authorization filter for me. Ran a few tests and it worked.

I know this is basic stuff to some people but boy it made life easier.

Re: Perplexity Deep Research

#153

Post by throwaway314155 »

rr808 wrote: post #107
bsaul wrote: post #76

can someone explain what perplexity value is ? They seem like a thin wrapper on top of big AI names, and yet i find them often mentioned as equivalent to the likes of opena ai / anthropic / etc, which build foundational models. It's very confusing.

They are a little bit different because it operates more like a search tool. Its the first real company that is a good replacement for Google.

What about ChatGPT's search functionality? Built straight in to the product. Works with GPT-4o.

Re: Perplexity Deep Research

#155

Post by exclipy »

NewUser76312 wrote: post #41
saretup wrote: post #32

Earlier quoted context omitted.

4o isn’t really comparable to deepseek r1. Use o3-mini-high or o1 if you wanna stay near the state of the art.

I've had a coding project where I actually preferred 4o outputs to DeepSeek R1, though it was a bit of a niche use case (long script to parse DOM output of web pages). Also they just updated 4o recently, it's even better now. o3-mini-high is solid as well, I try it when 4o fails. One issue I have with most models is that when they're re-writing my long scripts, they tend to forget to keep a few lines or variables her…

Why not use a tool where it can perform pricision edits rather than rewrite the whole thing? Eg. Windsurf or Cursor

Re: Perplexity Deep Research

#157

Post by numba888 »

baxtr wrote: post #71
alexvitkov wrote: post #50

Every week we get a new AI that according to the AI-goodness-benchmarks is 20% better than the old AI, yet the utility of these latest SOTA models is only marginally higher than the first ChatGPT version released to the public a few years back. These things have the reasoning skills of a toddler, yet we keep fine-tuning their writing style to be more and more authoritative - this one is only missing the font and colo…

Just yesterday I did my first Deep Research with OpenAI on a topic I know well. I have to say I am really underwhelmed. It sounds all authoritative and the structure is good. It all sounds and feels substantial on the surface but the content is really poor. Now people will blame me and say: you have to get the prompt right! Maybe. But then at the very least put a disclaimer on your highly professional sounding dossie…

You didn't expect it to do all the job for you on PhD level, did you? You did? Hmm.. ;) They are not there yet but getting closer. Quite a progress for 3 years.

Re: Perplexity Deep Research

#159

Post by jdee »

season2episode3 wrote: post #131
calebkaiser wrote: post #122

Earlier quoted context omitted.

The question of "will people pay" is answered--OpenAI alone is at something like $4 billion in ARR. There are also smaller players (relatively) with impressive revenue, many of whom are profitable. There are plenty of open questions in the AI space around unit economics, defensibility, regulatory risks, and more. "Will people pay for this" isn't one of them.

As someone who loves OpenAI’s products, I still have to say that if you’re paying $200/month for this stuff then you’ve been taken for a ride.

Honestly, I've not coded in 5+ years ( RoR ) and a project I'm involved with needed a few of days worth of TLC. A combination of Cursor, Warp and OAI Pro has delivered the results with no sweat at all. Upgrade of Ruby 2 to 3.7, a move to jsbundling-rails and cssbundling-rails, upgrade Yarn and an all-new pipeline. It's not trivial stuff for a production app with paying customers.

The obvious crutch of this new AI stack reduced go-live time from 3 weeks to 3 days. Well worth the cost IMHO.

Re: Perplexity Deep Research

#160

Post by taf2 »

xiphias2 wrote: post #121
CjHuber wrote: post #93

Earlier quoted context omitted.

Honestly I don‘t get why everybody is saying Gemini is far behind. Like for me Gemini Flash Thinking Experimental performs far far better then o3 mini

o3 mini is still behind o1 pro, it didn't impress me. I think the people who think anybody is close to OpenAI don't have pro subscription

It’s speed makes it better for me to iterate … o1 pro is just too slow or not yet good enough to wait 5 minutes…
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