Non-humans

• HAS AI BECOME TOO HUMAN? Researchers At Google AI Find LLMs Can Now Use ML Models And APIs With Just Tool Documentation!
• Can Large-Scale Language Models Replace Humans in Text Evaluation Tasks? This AI Paper Proposes to Use LLM for Evaluating the Quality of Texts to Serve as an Alternative to Human Evaluation
  
• Large Language Models (such as GPT-3) have Acquired an Emergent Ability to Find Zero-Shot Solutions to a Broad Range of Analogy Problems
• Meet Lamini AI: A Revolutionary LLM Engine Empowering Developers to Train ChatGPT-level Language Models with Ease
  
• Google AI introduces Symbol Tuning: A Simple Fine-Tuning Method that can improve in-Context Learning by Emphasizing Input–Label Mappings
  
• UC Berkeley Researchers Introduce Dynalang: An AI Agent that Learns a Multimodal World Model to Predict Future Text and Image Representations and Learns to Act from Imagined Model Rollouts
  
• This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empiri
• SNAPCHAT ENGINEER DESIGNS AI-CAMERA THAT RUNS STABLE DIFFUSION TO TURN YOUR PHOTOS INTO AI ART
• cally and Theoretically, on Compositional Tasks
  
• Salesforce Researchers Introduce XGen-Image-1: A Text-To-Image Latent Diffusion Model Trained To Re-Use Several Pretrained Components
  
• Stability AI Team Introduces FreeWilly1 and FreeWilly2: New Open Access Large Language Models (LLMs)
  
• This AI Research from DeepMind Aims at Reducing Sycophancy in Large Language Models (LLMs) Using Simple Synthetic Data
  
• This AI Research Introduces LISA: Large Language Instructed Segmentation Assistant that Inherits the Language Generation Capabilities of the Multi-Modal Large Language Model (LLM)
  
• Meet CREATOR: A Novel AI Framework That Empowers LLMs To Create Their Own Tools Through Documentation And Code Realization
  
• Bots Are Better at Solving CAPTCHAs Than Humans, Research Shows
  
• World’s first mass-produced humanoid robot? China start-up Fourier Intelligence eyes two-legged robots with AI brains
  
• Cambridge Researchers are Developing Uncertainty into Machine Learning Systems
• ChatGPT with Eyes and Ears: BuboGPT is an AI Approach That Enables Visual Grounding in Multi-Modal LLMs
  
• eet Prismer: An Open Source Vision-Language Model with An Ensemble of Experts
  
• Enhancing Large Language Models (LLMs) Through Self-Correction Approaches
  
• Meet Cheetor: A Transformer-based Multimodal Large Language Models (MLLMs) that can Effectively Handle a Wide Variety of Interleaved Vision-Language Instructions and Achieves State-of-the-Art Zero-Shot Performance
  
• The Dawn Of Humanoid Robotics: A Glimpse Into The Future
  
• Meet 3D-VisTA: A Pre-Trained Transformer for 3D Vision and Text Alignment that can be Easily Adapted to Various Downstream Tasks
  
• UNITREE’S SECOND-GEN ROBOT DOG COMPANION OPENS UP FOR PRE-ORDERS : MEET THE GO2
  
• Meta AI’s Humpback! Making a Splash with Self-Alignment of LLMs with Instruction Backtranslation
  
• Unitree teases new H1 humanoid robot
  
• Link-Context Learning for Multimodal LLMs
  
• Meet Embroid: An AI Method for Stitching Together an LLM with Embedding Information from Multiple Smaller Models Allowing to Automatically Correct LLM Predictions without Supervision
  
• Neura Robotics
• Google DeepMind Unveils RT-2, Bringing Robots Closer to General Intelligence
• AI-powered robots could fix recycling's biggest problems
• Researchers train 'world's most advanced humanoid robot' Ameca on GPT-4, finds her less responsive
• Google’s AI can now design chips faster than humans
• Using AI to solve complex global problems
• AI is taking over the digital advertising industry
• AWS Expands Amazon Bedrock With Additional Foundation Models, New Model Provider, and Advanced Capability to Help Customers Build Generative AI Applications
• How do you explain AI limitations to stakeholders?
• The Difference Between Generative AI And Traditional AI: An Easy Explanation For Anyone
• Ilya Suskever: The 3 Challenges of Superintelligence
• Generalist Medical-AI System
• The takeaways from Stanford's 386-page report on the state of AI
• Google's new AI technology can design chips in less than six hours
• An AI was trained to play the world’s hardest video game and could become the best player
• AI’s education lesson; virtual power plants; open-source; brains, the microbiome, Snoop Dogg++ #421
• AI-powered robots could fix recycling's biggest problems
• AI learns another bias from us, thinks improvement equals addition
• AI Desperately Needs Global Oversight"
• Researchers train 'world's most advanced humanoid robot' Ameca on GPT-4, finds her less responsive
• The lies we tell ourselves about AI in education
• Why is there FINALLY so much interest in AI?
• This is the AI we didn’t see coming: artificial imagination
• Not everyone needs to be an AI expert - or even a beginner.
• A real conversation about whether AI is a risk for human extinction
• How to have discussions and conversations with the machines around us
• Web-Scale Training Unleashed: Deepmind Introduces OWLv2 and OWL-ST, the Game-Changing Tools for Open-Vocabulary Object Detection, Powered by Unprecedented Self-Training Techniques
  
• AI See What You See: Mind’s Eye is an AI Model That Can Reconstruct Brain Scans into Images