The Sora safety card lists data sources and seems to leave out anything which would cause a Yes resolution:
>>> Sora was trained on diverse datasets, including a mix of publicly available data, proprietary data accessed through partnerships, and custom datasets developed in-house. These consist of:

• Select publicly available data, mostly collected from industry-standard machine learning datasets and web crawls.

• Proprietary data from data partnerships. We form partnerships to access non-publicly available data. For example, we partnered with Shutterstock⁠ Pond5 on building and delivering AI-generated images. We also partner to commission and create datasets fit for our needs.

• Human data: Feedback from AI trainers, red teamers, and employees. 
  

I think until this is in the hands of the general public (or close to it) it will be difficult to resolve. It would need targeted testing, eg seeding with specific Unreal frames or footage, specifically generating scenes Unreal can be detected with tell-tale signs, etc and isn’t likely to definitively show in the hand-picked videos OpenAI releases.

I would be long yes on this from what I’ve seen and read but since there is no long and the market resolves soon, I’m staying out.

is this ever resolving lol

my priors would be 90% yes but i spoke to a knowledgeable person that suggested no, so i put it at 30% yes

https://twitter.com/Carnage4Life/status/1768267008192164313

No mention of internally generated synthetic data 🤔

Suppose GPT-4 labels youtube videos and Sora is trained on GPT-4 label -> video. Would this market resolve Yes?

The description specifically says:

Was synthetic data generated for training Sora, ie large scale clips from Unreal Engine as suggested by this tweet

We already knew that autocaptioning was used from the openai sora post before the market was created

Training text-to-video generation systems requires a large amount of videos with corresponding text captions. We apply the re-captioning technique introduced in DALL·E 330 to videos. We first train a highly descriptive captioner model and then use it to produce text captions for all videos in our training set. We find that training on highly descriptive video captions improves text fidelity as well as the overall quality of videos.

I think it's obvious that the intent of this market didn't include auto-captioning, and was intended to capture if that tweet was accurate.

(if we want to go by literal english meaning, "i.e." means "is" or "specifically" so it specifies what the previous clause means, while if it said "e.g." the video captions would potentially be one example of many)

It would not resolve yes. The market is specifically for a significant amount of synthetic video data generated for training Sora. Synthetic captions or other metadata doesn't count.

These are big limit orders - do you have inside info, @jacksonpolack ?

no! I just like large limit orders.

@jacksonpolack Can't tell if serious.

@EliezerYudkowsky it was serious! I was just guessing and like large limit orders. Seemed like the reasons to believe YES weren't too strong

So what happens if no new information is available about the training data by the close time?

@Shump Good question! I extended the close time until the end of the year. I will resolve this question early if new information is available before then and resolve as N/A otherwise.

I think it should plausibly stay open for longer, openai isn't very open about how their models are trained

people have already taken 1k of this order!

limit order up for 10k no!