Discover the latest advances in AI with the introduction of Claude 3, outpacing GPT-4 on critical benchmarks. Elon Musk's lawsuit against OpenAI stirs up drama in the AI sphere, while Google's internal chaos casts a shadow over its Gemini project. Waymo expands its robotaxi services, raising eyebrows about automated transport's future. Plus, explore the dark side of generative AI with new threats, including AI-generated spam that blurs the line between truth and deception. It's an exciting look at AI's rapid evolution!
Elon Musk sues OpenAI for prioritizing profits over humanity.
StarCoder 2 introduces advancements in AI project development.
Avail of TripoSR for rapid 3D object generation from single images.
Opt for Danube, a 1.8 billion parameter AI model optimized for mobile applications.
Deep dives
Efficient Localizing of LLM Behavior to Components
The paper introduces an efficient method for attributing the behavior of a large language model to specific components, taking into account the impact of zeroing out activations or using random values, and proposes activation patching to assign realistic activations to the model for faster analysis.
Scalable High-Resolution Image Generation with AI
The project unveils Traipod SR, a model for rapid 3D object generation from single images, achieving high-quality outputs in just 0.5 seconds, leveraging improvements in channel number optimization, mask, and crop running strategies, presenting a quick solution for 3D object generation tasks.
Multi-Model Diffusion Transformer for Image Synthesis
The research paper details the architecture of the Multi-Model Diffusion Transformer, combining diffusion processes with transformers for enhanced image synthesis, showcasing the model's efficacy through detailed evaluation metrics and presenting the scaling curves reflecting smooth performance improvement.
Earliest Fast 3D Object Generation Model for Mobile
The AI2 project unveils Danube, a super-light large language model with 1.8 billion parameters tailored for mobile applications, ensuring high performance with reduced computational resources, released under the Apache 2.0 license, enhancing accessibility for mobile AI applications.
Challenges in AI Model Performance Evaluation
Quantifying image quality in AI-generated images has historically been a challenge, with benchmarks like Gen EVAL and human preference used for evaluation. Scaling success in AI models applies to human ratings as well as objective metrics, showcasing visibility into scaling for image generation models.
Approaching Human-level Forecasting with Language Models
Researchers developed a retrieval-augmented language model system that can search for relevant information and generate forecasts, achieving performance near or better than competitive forecasters. The system outperforms human crowd predictions on uncertain cases, emphasizing its potential predictive capabilities based on language model knowledge.
AI Worms and Security Risks
Researchers created an AI worm named Morris 2 that can spread between systems, highlighting potential security risks in generative AI usage. Testing against generative AI email assistants for data theft and malware deployment signifies the security challenges posed by AI-driven threats.
High-speed Humanoid Robotics Advancement
Sanctuary AI's demonstration of the humanoid robot Phoenix operating autonomously showcases advancements in robotics capabilities, focusing on manipulating objects swiftly with human-like dexterity. The use of hydraulically actuated motors in Phoenix sets a differentiated strategy for precision, speed, and strength, emphasizing embodiment for advancing robotics achievements.
