visioninmyblood

6 ms·

31.
by visioninmyblood 11mo ago
I am confuded what is 4d about this 3d visualization? What is the camera capturing?
32.
by visioninmyblood 11mo ago
Man this was my favourite method before neural networks. people tried integrating it into models but somehow they never came back. Would love to see them in the future
33.
by visioninmyblood 11mo ago
Should we not start with Ramayana and Mahabartham? Although they are religious texts they had a lot of science fiction storylines.
34.
by visioninmyblood 11mo ago
Very funny i just a got a mail saying the review is ready after 5 hours and the website is down. https://paperreview.ai/
35.
by visioninmyblood 11mo ago
China is leading in a lot of recent technologies. need to see how US will be able to compete with them on these technologies. Even AI the opesource models are all coming from china and US is not able to compete
36.
by visioninmyblood 11mo ago
I’ve taken a more opinionated stance on this. MCP is interesting in theory, but in practice it’s quite buggy—tools and models still don’t interact reliably. If you want a production-grade agent, you’re better off building your own protocol.
37.
by visioninmyblood 11mo ago
I agree i think specifically the world is multi modal. Getting a chat to be truly multi modal .i.e interacting with different data types and text in an unified way is going to be the next big thing. Mainly given how robotics is taking off 3
38.
by visioninmyblood 11mo ago
The model is great it is able to code up some interesting visual tasks(I guess they have pretty strong tool calling capapbilities). Like orchestrate prompt -> image generate -> Segmentation -> 3D reconstruction. Checkout the result
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Visual Agent: Prompt → Image → Segmentation → 3D Mesh in One Chat(chat.vlm.run)
2 points by visioninmyblood 11mo ago|0 comments
40.
Build with Nano Banana Pro google official developer blog post(blog.google)
1 points by visioninmyblood 11mo ago|0 comments
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AI bots shake up hiring process(fortune.com)
1 points by visioninmyblood 11mo ago|0 comments
42.
by visioninmyblood 11mo ago
Not sure what is going on but seems like meta is lacking behind other startups and other frontier models in this space. They invested most in Meta reality labs in the last decade more than any other company and they come up with such poor r
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Orion: A Unified Visual Agent(arxiv.org)
1 points by visioninmyblood 11mo ago|0 comments
44.
by visioninmyblood 11mo ago
Found it from this x discussion https://x.com/osanseviero/status/1991921997639766420?s=20
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Nano Banana Pro Can Generate a Image from Lat Long(chat.vlm.run)
1 points by visioninmyblood 11mo ago|1 comments
46.
by visioninmyblood 11mo ago
This means longer driving in highways. Not sure if this is safe. have been developing this tech for a long time and highway speeds are dangerous.
47.
by visioninmyblood 11mo ago
I was working on semantic segmentation. used to spend a long time creating graphics for presenting at conferences. I had a link showing the results but people were saying i was sharing too many links so deleted the link. But these tools wit
48.
by visioninmyblood 11mo ago
I have been using different anonimization tools to blur out my face and license plate at as many locations as possible to keep my data as private as possible. This recent tool does it in a single shot in a chat. I was able to blur out LPR d
49.
by visioninmyblood 11mo ago
yeah the video models still do not understand physics the way humans do. We are getting there one step at a time. By the way, I am seeing a lot of people complain about google billing not working well. I was able to generate these for free
50.
by visioninmyblood 11mo ago
Claude, gemini and ChatGPT does image segmentation in surprising ways - we did a small evaluation [1] of different frontier models for image segementation and understanding, and Claude is by far the most surprising in results. https:/
51.
by visioninmyblood 11mo ago
I spend years working on training these models. Inference is always the fruit. The effort going into getting the data is the most time consuming part. I am not a fan of meta from a long time. But open sourcing the weights help move the fiel
52.
by visioninmyblood 11mo ago
If Nano-Banana-pro with Veo 3.1 existed during my PhD, I would’ve finished a 6-year dissertation in a single year — it’s generating ideas today that used to take me 18 months just to convince people were possible.
53.
by visioninmyblood 11mo ago
another interesting use case with synth https://chat.vlm.run/c/1c726fab-04ef-47cc-923d-cb3b005d6262 . made a puppet from a image of a model and made the puppet dance.
54.
by visioninmyblood 11mo ago
yeah sadly veo 3.1 has not caught up to the image generation capabilities. May be we need to work on how to make video generation more physically consistent. but the image generation results from banana pro are great.
55.
by visioninmyblood 11mo ago
yes they are pricey but the price will go down over time and then you can switch. vlm.run got access as early customers and are releasing it for free with unlimited generations(till they are bottlenecked by google). some results here combin
56.
by visioninmyblood 11mo ago
Wow! I was able to combine Nano Banana Pro and Veo 3.1 video generation in a single chat and it produced great results. https://chat.vlm.run/c/38b99710-560c-4967-839b-4578a4146956 . Really cool model
57.
by visioninmyblood 11mo ago
The problem is the data. LLM data is self supervised. Vision data is very sparsly annotated in the real world. Going a step further robotics data is is much sparser. So getting these models to improve on this long tail distribution will tak
58.
by visioninmyblood 11mo ago
Seems like a exciting problem. Hope you get tools in the future which can solve it well.
59.
by visioninmyblood 11mo ago
Not of fan of the company for the social media but have to appreciate all the open sourcing. none of the other top labs release thier models like meta.
60.
by visioninmyblood 11mo ago
Actually a combination of LLM and VLMs could work in such cases. I just tested on some circuit boards. https://chat.vlm.run/c/f0418b26-af20-4b3d-a873-ff954f5117af

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