Loading video...

Video Failed to Load

Go Home

So dang enchanted with the Gemini 3.0 Flash support in Browserbase, especially for tedious data tasks! Check out the video below - Gemini navigates to the USGS website for seismic data, filters on 3D Multichannel Seismic datasets, adds all of the options for California, and then downloads as a...

25,718 views • 10 months ago •via X (Twitter)

9 Comments

👩‍💻 Paige Bailey's profile picture
👩‍💻 Paige Bailey10 months ago

Since @Antigravity has computer use and screen understanding built in, it can also handle these kinds of tasks - and much more flexibly. Here it is going to every one of the extracted URLs, figuring out which link should be clicked to download the seismic, and then getting the extracted data prepared for visualization. I love inspecting the reasoning traces, too: Goal: Visit the following three URLs and report back on the availability and size of "dataset" files: 1. 2. 3. Compare these to the first one (p-04-11-cc_eb). Are there always small navigation files? Is the seismic data always large? Is there a common format for the "dataset" (e.g. CSV, Shapefile)?

👩‍💻 Paige Bailey's profile picture
👩‍💻 Paige Bailey10 months ago

Prompt: Download as a CSV List all of the 3D Multichannel Seismic datasets in California from 🔗

Khanhvksnb.eth | Ⓜ️Ⓜ️T's profile picture
Khanhvksnb.eth | Ⓜ️Ⓜ️T10 months ago

@browserbase @USGS dang, feels like gemini's on a whole new level of boring data tasks. tbh, does the flash support work seamlessly for real-time updates or just static downloads? kinda keen to see how it shakes up data science workflows. ngmi if i don't keep up with this wizardry!

Joshua Poddoku's profile picture
Joshua Poddoku10 months ago

@browserbase @USGS This looks slick for data tasks

AI~rtesan's profile picture
AI~rtesan10 months ago

@browserbase @USGS Oooh, the @GoogleColab extra flavor is a nice topping!🍨

Jack Crabtree's profile picture
Jack Crabtree10 months ago

@browserbase @USGS Browser agents scraping public data look flashy until sites change layouts and everything breaks. Stick to APIs for reliable RevOps feeds.

Karan Jagtiani's profile picture
Karan Jagtiani10 months ago

@browserbase @USGS Looks user-friendly for data tasks. Curious how it handles larger datasets

Himanshu Kumar's profile picture
Himanshu Kumar10 months ago

@browserbase @USGS I've observed Gemini's Flash support assisting with complex data extraction tasks.

na's profile picture
na10 months ago

@browserbase @USGS Is browserbase better than Gemini CLI controlling Chrome for this use?

Related Videos

Learning from Human Demonstrations: Show the Robot How to Act! The pipeline is very similar to older experiments using Gemini & pi0 with LeRobot. Pi-zero runs locally, while Gemini Flash generates the affordances and the high-level task. (More details are in the thread.) The new component is learning from demonstrations via Gemini 2.5 Pro. I capture a video while demoing & take one of the last frames. Gemini 2.5 Pro then extracts the instructions & passes them to Gemini Flash to process the scene. The fun part is that there's no fancy insight that came from me; other than the days spent figuring out the right prompts. It's the bitter lesson hitting you in the face -> Enhanced Gemini capabilities make this possible. For example, Gemini Flash cannot do Russian doll stacking, but Gemini 2.5 Pro can do it consistently. The current limitation is low-level manipulation: - As you can see, I'm aligning the objects so they are easy to grasp using the same technique from the training data. I couldn't get Gemini Flash to consistently output an accurate grasping angle, and Gemini 1.5 Pro was too expensive and slow for real-time deployment. - Getting a symmetrical gripper should also help a lot. Adding rubber to the tips would probably also help prevent objects from slipping. Collecting & curating the data was the most time consuming & labor intensive part. Next, to improve low-level manipulation and make the system more real-time, I'm shifting to focus more on sims & synthetic data. This aligns better with my core competence. I'm open to tips and suggestions.

Shreyas Gite

22,555 views • 1 year ago

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 views • 1 year ago