Those videos are apex quality videos. You might as well ask for Nobel prize literature quality essays from ChatGPT.
You can probably imitate the structure/scaffolding of a 3b1b video in a cargo cult way, but you are losing domain expert level verification of quality (which is why AI fails, because it's not a domain expert).
So heres how I'm hearing yoir question, and it answers itself: "how do I get domain expert quality from a non-domain expert AI?"....
Great but wrong answers. I asked how big tree-3 was after some helpful explaining about exponentials, it tells me its 27. This is... an underestimate.
Whose voice are you 'borrowing' for this?
Compared to https://www.youtube.com/watch?v=24GfgNtnjXc this video is absurdly limited https://tma.live/video/9c8e725e-ec21-41a7-984a-317d84216497
Well, I'm blown away. "Show me how information propagates through a neural net."
I feel like this is the one thing that's been missing from all the LLMs: actual visual explainers, whether image or video. python plots only get you so far, and all the Diffusion stuff is nonsensical. This is amazing.
I have to give you props for not requiring me to sign up, I’ve seen many ShowHN posts lately that require me to unnecessarily create an account which always prompts me to close the tab immediately.
I tried a few times and this is my experience
1. Doesn't work at all on Firefox 133.0.3 (64-bit)
2. Works on Chrome 131.0.6778.205 (Official Build) (64-bit)
3. No existing links do anything but a sub second "Generating" which disappears quickly
4. Does not work in Incognito on Chrome 131.0.6778.205 (Official Build) (64-bit)
My prompt kind of worked but ended at 48 seconds
Prompt: "Describe a honeybee learning which flower to land on in a field using Markov Decision Process with Bellman updating":
https://tma.live/video/88f535b5-0e5f-41ca-9bd8-e35e7aa8a95a
I ran it a second time and got a longer video of 1:55 but it primarily just created Text. It also didn't explain Bellman's equation and wrote it incorrectly:
https://tma.live/video/88f535b5-0e5f-41ca-9bd8-e35e7aa8a95a
The second prompt kind of worked but ends at 47 seconds and then loops the final 4 seconds forever.
Prompt: "Describe how the OODA Loop, MDP and SPA learning approaches are the same"
https://tma.live/video/ee7b5048-3fde-4f1a-8ec1-c8bb48883c75
Overall this worked as described. It's more than fast enough, but fails to deliver on consistency and graphics.
A few more iterations and fine tuning and you'll have a solid Beta. I can see this being very useful after another year or so of use and tuning.
Great work and congrats on shipping.
MathGPT also has this (exactly in the same 3blue1brown style, so I guess they also use manim), and in my experience it does actually work better and tries to explain math and write the equations.
I think they use some extremely cheap model for writing the code, probably 4o-mini or similar.
Whether I click an existing example or type in my own it doesn't seem to work. A dialog pops up for a second saying 'generating video' and then disappears.
Most hilarious is https://tma.live/video/8eb2d318-3217-4c09-a8aa-3fc7e8bb7cca
I asked a history question - tell me about Reddy kings rule. It made up a physics rule and started talking about electrons.
The Manim is not great, words overlapping etc, the page itself needs a lot of work, generating and then nothing happens, and it seems in a lot of case your backend workflows have issues, with descriptions only starting and ending after a say 30s when it needs to go another 1-2 minutes at least
Thank you for sharing. This is a wonderful experiment and I think this concept has a lot of potential.
Pure Garbage: https://tma.live/video/5fe506ca-3831-4ba3-b9c6-ff899c571bf1
Although it is pretty impressive for what an LLM can generate these days.
Wow, this is awesome! Thanks for building. I didn't realize there was a protocol for streaming while rendering, though I noticed sumo.ai doing something similar for audio. Gemini with grounding is new to me also, very nice!
Haha that’s funny, the beehive one lays out the hexagons as if they were squares - so they overlap and have empty space lol! But still it’s a promising concept.
Btw for some reason on iOS I had to download to view the video
This is so cool! Streaming videos while the Manim code is still generating is super impressive - sure that took a lot of hacking.
Pretty incredible how fast those videos are being generated. Excellent work! You can now spam YT shorts all day.
Can I ask from curiosity how long it took you to program and design this entire project?
Kudos to you this is really impressive
Not working
Awesome!
As usual with these things: it is impressive that stuff like this can be generated so quickly at all, but the content is very superficial and often wrong or at least misleading. It's unusable for learning, but great for spamming platforms, just like NotebookLM for instance.
As an example, I asked about the Cantor function. It generated a 1:24 video, which is laughably short, explained correctly how the Cantor set is defined but showed a flawed visual representation, then simply skipped over how the Cantor function is constructed and simply states the basic properties. Sorry, but this is garbage content.