What Do Your Logits Know? (The Answer May Surprise You!)

Recent work has shown that probing model internals can reveal a wealth of information not apparent from the model generations. This poses the risk of unintentional or malicious information leakage, where model users are able to learn information that the model owner assumed was inaccessible. Using vision-language models as a testbed, we present the first …

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Accelerate Generative AI Inference on Amazon SageMaker AI with G7e Instances

As the demand for generative AI continues to grow, developers and enterprises seek more flexible, cost-effective, and powerful accelerators to meet their needs. Today, we are thrilled to announce the availability of G7e instances powered by NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs on Amazon SageMaker AI. You can provision nodes with 1, 2, …

Flux2Klein Ksampler Soon!

UPDATED Flux2Klein Ksampler has been added to the repo : here Sample Workflow: here —————————————————— dropping some news real quick I’m releasing a proper Ksampler for flux2klein because I figured out that using the raw formula produces way more accurate colors and I genuinely think THIS is the main reason we keep getting that color …

EditAnything IC-LoRA – LTX-2.3

This model was trained on 8,000 video pairs, and training is still ongoing for a few thousand more steps. It is still experimental, not trained with a fully professional production target, and the model may be updated unexpectedly as new checkpoints. The current goal is not final polished production quality, but to explore: edit-anything behavior …

Artificial neurons successfully communicate with living brain cells

Engineers at Northwestern University have taken a striking leap toward merging machines with the human brain by printing artificial neurons that can actually communicate with real ones. These flexible, low-cost devices generate lifelike electrical signals capable of activating living brain cells, a breakthrough demonstrated in mouse brain tissue.

Unpredictable AGI may resist full control, making diverse AI safer

Public concern about AI safety has grown significantly in recent years. As AI systems become more powerful, a key question is how we make sure they do what we actually want. Now, researchers suggest that rather than trying to eliminate misalignment between AI and humans, we should embrace and manage it through a diverse ecosystem …