With the continuous refinement of the Gemini family, Google has launched the Deep Research feature, an innovative leap forward in automating in-depth research and report generation. This cutting-edge functionality has been rolled out worldwide, garnering positive feedback from users while also highlighting some limitations and concerns. Among AI search tools, Deep Research stands as a formidable competitor, albeit not without its imperfections.
In recent times, Google has quietly unleashed the Deep Research feature, marking a significant stride towards crafting the world’s most useful personal AI assistant. As the Gemini suite grows more robust and expansive, Google’s large-scale models are poised to take over a wider array of real-world tasks on behalf of users. Deep Research is capable of receiving research prompts, devising research plans, and offering users refined options before executing a fully automated delve into the matter. It scans multiple sources of information to compile a comprehensive report on the query, all in a matter of minutes.
### The Deep Research Feature
The role of Deep Research is to alleviate the headache of research under the supervision of a user. After inputting a question, it devises a multi-step research plan that users can modify or approve. Once approved, Deep Research delves into the vast expanse of the web, analyzing information comprehensively. Within minutes, Gemini can refine the analysis and produce an extensive report of findings.
The report includes links to original sources, allowing users to pose further questions to Gemini for a deeper understanding or to refine the report. Here are some highlights of the feature:
– Deep Research is currently available on desktop and mobile web via Gemini Advanced.
– It is planned to launch on mobile apps by early 2025.
– Gemini 2.0 Flash Experimental and 2.0 Experimental Advanced have also been introduced.
### User Feedback
Following its release, Deep Research has received accolades, with Ethan Mollick of the Wharton School praising it as the most “Google-like” AI application. However, not all feedback was positive, with some users pointing out issues such as speed and restrictions on political research topics.
Among the specific criticisms:
– Some users felt that paying for Perplexity is no longer justified.
– Thomas Burgess compared Perplexity with Gemini Deep Research, noting the latter’s slower pace.
– There were claims that Deep Research has limitations when it comes to political topics.
### Analysis
One user analyzed that there is often a trade-off between the “accuracy” and “depth” of AI search tools at this stage. Deep Research may excel in academic research that does not rely on real-time information retrieval, yet it is not without flaws.
### Summary
In the realm of AI services, Perplexity might be the top choice if one were to subscribe to only one. However, in every niche, there may be tools that surpass Perplexity’s capabilities.
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With the continuous refinement of the Gemini family, Google has launched the Deep Research feature, an innovative leap forward in automating in-depth research and report generation. This cutting-edge functionality has been rolled out worldwide, garnering positive feedback from users while also highlighting some limitations and concerns. Among AI search tools, Deep Research stands as a formidable competitor, albeit not without its imperfections.
In recent times, Google has quietly unleashed the Deep Research feature, marking a significant stride towards crafting the world’s most useful personal AI assistant. As the Gemini suite grows more robust and expansive, Google’s large-scale models are poised to take over a wider array of real-world tasks on behalf of users. Deep Research is capable of receiving research prompts, devising research plans, and offering users refined options before executing a fully automated delve into the matter. It scans multiple sources of information to compile a comprehensive report on the query, all in a matter of minutes.
The Deep Research Feature
The role of Deep Research is to alleviate the headache of research under the supervision of a user. After inputting a question, it devises a multi-step research plan that users can modify or approve. Once approved, Deep Research delves into the vast expanse of the web, analyzing information comprehensively. Within minutes, Gemini can refine the analysis and produce an extensive report of findings.
The report includes links to original sources, allowing users to pose further questions to Gemini for a deeper understanding or to refine the report. Here are some highlights of the feature:
- Deep Research is currently available on desktop and mobile web via Gemini Advanced.
- It is planned to launch on mobile apps by early 2025.
- Gemini 2.0 Flash Experimental and 2.0 Experimental Advanced have also been introduced.
User Feedback
Following its release, Deep Research has received accolades, with Ethan Mollick of the Wharton School praising it as the most “Google-like” AI application. However, not all feedback was positive, with some users pointing out issues such as speed and restrictions on political research topics.
Analysis
One user analyzed that there is often a trade-off between the “accuracy” and “depth” of AI search tools at this stage. Deep Research may excel in academic research that does not rely on real-time information retrieval, yet it is not without flaws.
In the realm of AI services, Perplexity might be the top choice if one were to subscribe to only one. However, in every niche, there may be tools that surpass Perplexity’s capabilities.
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