Deep Research gives you a good way to search for books. You can describe what you want out of a book and then it goes, does the research for you and brings you back an answer. What else do you want?
Deep research is an improvement over search engines, but it is still not great:
There is a difference between handing a prompt over to a LLM, waiting 5 minutes and evaluating the answer not being able to customize anything, versus interactively browsing and filtering data. Browsing has much better discoverability, similar items are clustered so you can discover them, you can explore and discover new dimensions of the data, you can tweak a bunch of knobs and filters with instant feedback until they are just right. It gives you the ability to iterate and refine the query hundreds of times very quickly. A domain where this difference is very crisp is music: you can hand over a prompt to a LLM and wait for it to generate a song, or you can be presented with various (AI) knobs to tweak and hear the sound track change live, iterating until you’re satisfied with the result. Maybe a mix between a chatbot and latent space browsing could get the best of both worlds.
I’ve had no luck with some deep researchs: I am looking for wholesome and inspiring content to boost my meditation practice and more generally as a way to improve mood, but since it’s pretty specific LLMs struggle with that. I was looking specifically for chinese anime the other day and it recommended “A Gentle Dragon of 5000 Years Old, It Was Recognized as an Evil Dragon Without Any Cause”. I would not say it is wholesome, it has a little girl with psychotic/violent tendencies and a bunch of fighting. I suspect a latent space over books or videos would have a “wholesome” dimension I can filter for.
you can hand over a prompt to a LLM and wait for it to generate a song, or you can be presented with various (AI) knobs to tweak and hear the sound track change live, iterating until you’re satisfied with the result.
I don’t get where the assumption that it takes a different time when you give an LLM a prompt than when you tweek a knob comes from. Both are just different forms of user input.
If we are at the topic of sounds, there’s plenty audio effects that also take some time to update the file you are working on before you see the result.
There are fast AI models that give you very fast feedback but the models that take longer give higher quality answers. Whether you would use a knob or chat prompt has little to do with how fast you get your answer.
AI photo software like Leonardo has plenty of knobs but those don’t give you faster image generation.
I’ve had no luck with some deep researchs: I am looking for wholesome and inspiring content to boost my meditation practice and more generally as a way to improve mood, but since it’s pretty specific LLMs struggle with that.
I wouldn’t use deep research for that. I would start by asking Gemini 2.5 Pro or ChatGPT 4.5: “I am looking for wholesome and inspiring content to boost my meditation practice and more generally as a way to improve mood, please ask me questions one at a time to clarify what I want and then go and search me some content”. Then, I’ll answer it. If it gives a suggestion that isn’t what I want, I explain it why it isn’t what I want. After playing that game a few times, you might ask for deep research to actually go more deeply into the issue.
On the other hand there are issues where I used deep research in the latest week: 1) I wanted shoes with a wide toe box, that make it possible to hit forefoot first, I want them also to be waterproof and look decent when I’m at a date where a woman might infer something from my choice of shoes. I think it took 2-3 deep seek attempts till I landed at a good choice.
2) I was seeking delayed-release melatonin supplements that don’t have immediate release baked into as I struggle to sleep through but not to get to sleep. Amazon.de for some reason didn’t have them. It found the correct immediate release melatonin to be ordered via pharmacy.
Unfortunately, the online pharmacies don’t deliever as fast as Amazon does, so I went to a in person pharmacy. There they didn’t have what I wanted but gave me a Melatonin supplement that also included three other things. Back at home deep research allowed me to review the evidence for all the three other elements without problem.
Deep Research gives you a good way to search for books. You can describe what you want out of a book and then it goes, does the research for you and brings you back an answer. What else do you want?
Deep research is an improvement over search engines, but it is still not great:
There is a difference between handing a prompt over to a LLM, waiting 5 minutes and evaluating the answer not being able to customize anything, versus interactively browsing and filtering data. Browsing has much better discoverability, similar items are clustered so you can discover them, you can explore and discover new dimensions of the data, you can tweak a bunch of knobs and filters with instant feedback until they are just right. It gives you the ability to iterate and refine the query hundreds of times very quickly. A domain where this difference is very crisp is music: you can hand over a prompt to a LLM and wait for it to generate a song, or you can be presented with various (AI) knobs to tweak and hear the sound track change live, iterating until you’re satisfied with the result. Maybe a mix between a chatbot and latent space browsing could get the best of both worlds.
I’ve had no luck with some deep researchs: I am looking for wholesome and inspiring content to boost my meditation practice and more generally as a way to improve mood, but since it’s pretty specific LLMs struggle with that. I was looking specifically for chinese anime the other day and it recommended “A Gentle Dragon of 5000 Years Old, It Was Recognized as an Evil Dragon Without Any Cause”. I would not say it is wholesome, it has a little girl with psychotic/violent tendencies and a bunch of fighting. I suspect a latent space over books or videos would have a “wholesome” dimension I can filter for.
I don’t get where the assumption that it takes a different time when you give an LLM a prompt than when you tweek a knob comes from. Both are just different forms of user input.
If we are at the topic of sounds, there’s plenty audio effects that also take some time to update the file you are working on before you see the result.
There are fast AI models that give you very fast feedback but the models that take longer give higher quality answers. Whether you would use a knob or chat prompt has little to do with how fast you get your answer.
AI photo software like Leonardo has plenty of knobs but those don’t give you faster image generation.
I wouldn’t use deep research for that. I would start by asking Gemini 2.5 Pro or ChatGPT 4.5: “I am looking for wholesome and inspiring content to boost my meditation practice and more generally as a way to improve mood, please ask me questions one at a time to clarify what I want and then go and search me some content”. Then, I’ll answer it. If it gives a suggestion that isn’t what I want, I explain it why it isn’t what I want. After playing that game a few times, you might ask for deep research to actually go more deeply into the issue.
On the other hand there are issues where I used deep research in the latest week:
1) I wanted shoes with a wide toe box, that make it possible to hit forefoot first, I want them also to be waterproof and look decent when I’m at a date where a woman might infer something from my choice of shoes. I think it took 2-3 deep seek attempts till I landed at a good choice.
2) I was seeking delayed-release melatonin supplements that don’t have immediate release baked into as I struggle to sleep through but not to get to sleep. Amazon.de for some reason didn’t have them. It found the correct immediate release melatonin to be ordered via pharmacy.
Unfortunately, the online pharmacies don’t deliever as fast as Amazon does, so I went to a in person pharmacy. There they didn’t have what I wanted but gave me a Melatonin supplement that also included three other things. Back at home deep research allowed me to review the evidence for all the three other elements without problem.