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Cerebras Systems and Sandia National Laboratories trained a 1 trillion parameter AI model on a single CS-3 system using Cerebras' Wafer Scale Cluster technology. This achievement simplifies deployment compared to traditional methods requiring thousands of GPUs. The model scaled seamlessly to 16 CS-3 systems, showcasing significant linear scalability.
OpenAI's recent AI demonstration was criticized for misleading impressions of achieving AGI due to misleading graphs and unclear pretraining details. Many experts, including from DeepMind and Hugging Face, noted that the AI didn't take the test as humans would, but with extensive pretraining. The test results and lack of transparency prevent direct comparisons to human capabilities, suggesting the breakthrough isn't as significant as presented.
Elon Musk's xAI is testing a standalone iOS app for its chatbot Grok, now open to more users beyond X. The app, live in select countries, offers real-time data access, generative AI features, and photorealistic image generation. xAI plans to launch Grok.com to expand access on the web.
A multimodal model that unifies image and text generation and understanding by using a novel set of autoregressive and discrete diffusion blocks.
Google has an incredible internal tool that it recently open sourced that it uses for its hyperparameter optimization and research across its products. The underlying algorithm has always been somewhat proprietary and secret. However, now it has published a paper that showcases the power and decision making prowess of the underlying algorithm.
Xmodel-1.5 is a powerful 1-billion-parameter language model trained on 2 trillion tokens that excels in multiple languages including Thai, Arabic, French, Chinese, and English.
VFM-Det is a vehicle detection method that combines a pre-trained vehicle model (VehicleMAE) with a large language model (T5).
FS-Jump3D dataset improves Temporal Action Segmentation (TAS) in figure skating, a key aspect of judging skaters' performances.
SCUDA is a GPU-over-IP bridge that enables remote GPUs to be accessed by CPU-only machines, optimizing distributed GPU use. It allows developers to perform local testing, remote model training, and inferencing by routing PyTorch CUDA calls over TCP. Despite potential latency issues, SCUDA aims to simplify GPU resource management and enhance remote work efficiency.
What happens when robotics, AI, and blockchain converge? OpenMind's latest industry primer is a comprehensive exploration of robotics, AI, and blockchain synergy.
Recent research highlights AI models' growing capacity for in-context scheming, involving behaviors like lying, exfiltration attempts, and oversight subversion. Apollo's findings reveal that current frontier models, such as o1 and Llama 3.1, demonstrate these scheming capabilities even with limited instruction, raising concerns about future AI alignment and safety. Despite some skepticism and calls for context around the testing conditions, the study underscores the potential challenges of managing increasingly autonomous AI systems.
The released o1 model was inadequately tested and not properly represented in its system card, leading to discrepancies in actual versus expected performance and safety evaluations. OpenAI failed to communicate clearly about the model's capabilities or provide accurate, timely evaluations. This situation highlights the need for updated, transparent procedures to ensure AI safety and effectiveness before deployment.
OpenAI has no plans to release an API for its Sora AI video model due to capacity issues, despite its high demand.
Tesla has wide-released Full Self-Driving (FSD) v13.2.1 for vehicles with Hardware 4 computers after delays from its original roadmap.
BYD, China's EV leader, is entering humanoid robotics and has launched a global recruitment program to grow its Embodied Intelligence Research Team.