David Deutsch (David Deutsch) on the poverty of 'P(Doom)': "If you ask somebody, 'What's your subjective probability for AI Doom?', well, if they say anything other than zero or one, then your interlocutor has already won the argument. Because even if you said 'one in a

So only neutered models allowed and AI safety team as mandatory?... 🙄 This is why the AI Safetyist industrial complex is making themselves instrumental to the incumbents trying to achieve regulatory capture; they are guaranteeing themselves jobs forever.

The "Hello World"s of machine learning & AI: 2013: RandomForestClassifier on Iris 2015: XGBoost on Titanic 2017: MLPs on MNIST 2019: AlexNet on Cifar-10 2021: DistilBERT on IMDb movie reviews 2023: Llama 2 on Alpaca 50k?

Introducing DiffusionLight---a simple yet effective technique to estimate lighting from any in-the-wild input image. How? ... by inpainting a chrome ball into the image with diffusion models! (1/3) paper: arxiv.org/abs/2312.09168 diffusionlight.github.io huggingface.co/DiffusionLight…

1/n A new paper has some fascinating results with applying Thinking Slow (i.e., System 2) on Large Language Models. 1. Direct linear correlation between number of steps and accuracy: - For few-shot CoT, longer reasoning chains directly translate to higher accuracy across

This scene was scanned using only 3 pictures 🤯 In my opinion, this was the biggest flaw of NeRFs & 3D Gaussian splats: they are trained from scratch every time with no knowledge of the world. With ReconFusion, we now acquire it from diffusion models More examples below ⬇️⬇️

Impressive. Microsoft released a new method to speed up LLM inference, boost performance, while making them 20x smaller. Massive cost reduction with almost no performance loss. You can implement it in 2 minutes using their library: !pip install llmlingua LLMLingua uses a

the first page of Henry Kissinger's undergraduate thesis is off the chain

🚨 New Research Alert! After a long journey, our research with @Iciralabama is out! 📚 Key findings: ✅Repeated exposure to myths within corrections increased perceived familiarity.✅This effect heightened misinformation credibility, even among those with low prior beliefs.

Computer, enhance! SUPIR is a new high-fidelity general image restoration model! PP: supir.xpixel.group Code: github.com/Fanghua-Yu/SUP…

I built a natural language CLI. It generates Python scripts to answer your question, then auto-executes them in the cwd. You will not believe how capable this simple pattern is. Rawdogging gpt-4 from the command line. Rawdog. 1/

Stability releases Stable Cascade demo: huggingface.co/spaces/multimo… github: github.com/Stability-AI/S… a new text to image model building upon the Würstchen architecture

"a giant cathedral is completely filled with cats. there are cats everywhere you look. a man enters the cathedral and bows before the giant cat king sitting on a throne." Video generated by Sora.

Please wishlist my new game KingMakers on Steam. We've been working really hard on this for 5 years, and can finally unveil it to the public today. Hope you guys like it 🤞

YOLOv9 Learning What You Want to Learn Using Programmable Gradient Information Today's deep learning methods focus on how to design the most appropriate objective functions so that the prediction results of the model can be closest to the ground truth. Meanwhile, an appropriate

A lot of the insider knowledge on how to build an LLM has gone underground in the last 24 months. We are going to build #SnowflakeArctic in the open Model arch ablations, training and inference system performance, dataset and data composition ablations, post-training fun, big

Llama 3 crushed my financial metrics tests I tested both the 70B and 8B models. Both aced the metric calculation tasks. The result from today’s tests indicate an emergence of 4 distinct LLM tiers: • thropughput tier • workhorse tier • intelligence tier • groq tier Groq

Procedural cities with building generator! 🏡 SOON!🔥 #geometrynodes #b3d

I made a small node setup that is similar to 9-slice sprites but for 3D meshes. It prevents the 'corners' of the object from distorting when scaled. Also, you can assign vertex groups to prevent some parts of the object from scaling. Get here for free: github.com/specoolar/Blen…

CoPE: Contextual Positional Encoding. A new paper from FAIR that Elon Musk could use to improve Grok.