12 Insane Use Cases For The 200 $ ChatGPT Deep Research
ChatGPT Deep Research is pricey at $200/month to access, but in my opinion, it's actually worth it.
Let me show you 12 reasons why…
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Twitter Links:
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ChatGPT Deep Research Shared Links
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Chapters:
0:00 What is the Deep Research?
1:47 Skills Improvement
3:07 Money Making
5:54 Learning Plan
6:28 “Ultimate” Prompt
9:11 Hobbies Improvement
10:55 Products Research
12:52 AIA Community
14:33 Travel Planning
17:58 Overview of Research Papers
19:22 Personalized News Research
23:26 Healthcare Tips
25:39 Ancestral Research
26:44 Investigating Federal Procurement
#ai #openai #deepresearch
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Awesome, very useful
Super helpful insights!! 🔥
The Personalized News Research prompt does “reasonably” well using the free Google Gemini 2.0 Flash Thinking Model
nice video. Thank you.
Can you share the Generative AI Learning Plan?
Yes: https://chatgpt.com/share/67af105a-f894-800f-9433-223213489050
Are you missing the link to the learning plan?
Looks like it! Added it and here you go: https://chatgpt.com/share/67af105a-f894-800f-9433-223213489050
I wanted to test o3. So I just asked it a maths question from a competition from 2025 which couldn’t be found online. So it worked with zero sources and solved this very hard integral. So it probably is 03 reasoning.
Mindblowing! Thanks for sharing!
Great vid. Should ensure more people join your community
Perhaps the biggest one missing from these use cases: how far are we from a cure for T1DM (or whatever)? Give an overview of the most promising research avenues to date, identify gaps in the research to achieving a functional cure, then map clear paths to delivering that for each of the most promising research approaches such as cell replacement, transplant, islet therapy and so on.
Is there a way to find out how manny deep research a left in a month? ChatGpt doesn’t answer to this question
Unfortunately no
Which people using this deep research are posting their results to their websites? Please share the link.
15:35 😂 be careful!
That “…Assistant – she can do…” is slippery
That sounds great, and I’m really a tech/AI nerd. But for me, the problem is trusting the results. It doesn’t matter if there’s a lot of text that seems good or 100 categorized points when you still have to do your own research to check what’s hallucination.
Yeah but checking stuff is usually way quicker than doing the research yourself
Its not like you have to check every single thing. In the beginning, you can sample more and after you become more trusting of e.g. deep research, you can sample less. If you really need 100% accurate data and are generally distrustful of possible hallucinations, just don’t use them. I do not think we are getting at 100 accuracy anytime soon. Then again the internet is also full of subjective views, mistakes and inaccurate information.
I see your point but I gotta say all the stuff thsi deep research has been making is super accurate. I tested it with some reports in domains I have experience with and I don’t really have any complaints. Obviously you have to be careful but if you contrast it with the error rate of a person doing the job, damn this thing does super well.
Thanks.
13:37 “compare to traditional prompting”… Things are moving so fast that we already have traditional prompting
😂 facts
Thank you, great content!
Does deep research have access to publications that a user needs to pay to have access to?
Have you ever heard of the photo copier effect? that when you put an image on a photocopier and copy it, and then take that image and put it on the photocopier again… after a certain number of times, all you get is a blank white piece of paper with no information on it. I’m a little concerned about AI being like this, where currently it utilizes an immense amount of human driven data To provide excellent feedback. But the more that it trains, the more that the information that it gets is going to be AI. Generated, is it going to be a self-deprecating loophole 1 day?
Where can I see how many times I have already used “deep research?” I don’t want to hit my 100 use limit by surprise. Thanks
Needing prompt engineering still means that AI is quite dumb.