Readit Newsmaytc commented on Vibechart vibechart.net/... · Posted by u/datadrivenangel
They fixed it in the press release charts
https://openai.com/index/introducing-gpt-5/
maytc commented on Triangle splatting: radiance fields represented by triangles trianglesplatting.github.... · Posted by u/ath92
2400+ fps (mindblown)
maytc commented on Why do LLMs attend to the first token? arxiv.org/abs/2504.02732... · Posted by u/adhi01
Curious if the authors had a chance to look at the Softpick paper?
https://arxiv.org/abs/2504.20966
maytc commented on Mercury: Commercial-scale diffusion language model inceptionlabs.ai/introduc... · Posted by u/HyprMusic
Ok. My go to puzzle is this:
You have 2 minutes to cool down a cup of coffee to the lowest temp you can
You have two options:
1. Add cold milk immediately, then let it sit for 2 mins.
2. Let it sit for 2 mins, then add the cold milk.
Which one cools the coffee to the lowest temperature and why?
And Mercury gets this right - while as of right now ChatGPT 4o get it wrong.
So that’s pretty impressive.
That example is probably in the training data?
The puzzle assumes that the room temperature is greater than the cold milk's temperature. When I added that the room temperature is, say, -10 °C, Mercury fails to see the difference.
The underrated release is the ChatGPT search Chrome extension that lets you bypass Google search completely.
https://chromewebstore.google.com/detail/chatgpt-search/ejcf...
Switched to Perplexity Pro and haven't looked back
maytc commented on Probably pay attention to tokenizers cybernetist.com/2024/10/2... · Posted by u/ingve
The difference in the dates example seems right to me
20 October 2024 and 2024-20-10 are not the same.
Months in different locales can be written as yyyy-MM-dd. It can also be a catalog/reference number. So, it seems right that their embedding similarity is not perfectly aligned.
So, it's not a tokenizer problem. The text meant different things according to the LLM.
A tool to auto-translate images and PDFs.