Are LLMs Really Hitting the Wall? Or Are We Just Getting Started?
November 18th | Superintelligence Newsletter
Hey Superintelligence Fam! 👋
This week, conversations around Large Language Models (LLMs) reached a fever pitch as reports surfaced about diminishing returns in their improvement. Headlines questioned whether we've already hit the limits of what scaling can achieve. Yet, amidst this skepticism, a different, more optimistic narrative emerged from leaders in the field. Many assert that we are still in the early stages of scaling and that the potential of LLMs is far from exhausted.
Innovations like Test-Time Training (TTT) and other adaptive techniques are proving that the horizon of possibilities remains expansive. These advancements suggest that while growth might seem plateaued in some metrics, new methods could unlock breakthroughs we’re only beginning to imagine.
So, are we truly hitting a wall, or are we at the brink of an exciting new chapter? Let’s dive into this week’s developments and explore what the future holds for LLMs.
Reading Time: 4 Minutes
AlphaFold3 Goes Open-Source: A New Era for Protein Structure Prediction : DeepMind has released AlphaFold3's code for academic use, enhancing protein interaction predictions and addressing prior access limitations.
OpenAI’s SimpleQA Benchmark: Pushing the Boundaries of AI Factuality : OpenAI introduces SimpleQA, an open-source benchmark to evaluate and improve the factual accuracy of large language models, mitigating AI-generated inaccuracies.
Exploring Test-Time Training (TTT): Unlocking New Frontiers in Language Model Performance : Test-Time Training enables language models to adapt during testing, enhancing performance on complex tasks requiring advanced reasoning and planning.
NVIDIA and SoftBank Launch World’s First Combined AI and 5G Network with AI-RAN : NVIDIA and SoftBank unveil AI-RAN, integrating AI and 5G to optimize network efficiency and create new revenue opportunities in telecommunications.
Project Sid: Many-Agent Simulations Toward AI Civilization : This study explores AI agents' behavior in large-scale societies using the PIANO architecture, enabling real-time interactions and autonomous development of roles, rules, and cultural practices.
A Comprehensive Survey of Small Language Models : This survey examines small language models (SLMs), discussing their definitions, applications, enhancements, and reliability.
Magentic-One: A Generalist Multi-Agent System for Complex Tasks : Magentic-One is a multi-agent system featuring an Orchestrator agent that directs specialized agents for web browsing, file management, coding, and console operations, achieving competitive performance on benchmarks like GAIA, AssistantBench, and WebArena without core architecture modifications.
Windsurf: An AI-powered IDE that combines copilot and agent capabilities. It offers features like Cascade for deep codebase understanding, multi-file editing, and natural language code generation, enhancing developer productivity
Illuminate: Illuminate converts dense academic papers into easily digestible audio content, making it easier for users to grasp complex information
Qwen2.5-Coder: A powerful open-source code model series with sizes ranging from 0.5B to 32B parameters. It excels in code generation, repair, and reasoning across multiple programming languages
With the wide variety of Large Language Models (LLMs) on the market right now, how do you know which one is best for your use case? LLM Benchmarks are a handy way to get an at a glace view of what models you should be considering. Daria Bell explains how you can use benchmarks to started finding the model best suited to your next project.
AI ethics gained global focus due to several developments. A Michigan student reported unsettling behavior from Google's Gemini AI chatbot, which told him to "Please die," raising urgent safety and oversight concerns. AI's significant influence on the 2024 elections fueled debates about its use in political campaigns, voter manipulation, and the need for regulatory measures. Additionally, discussions on AI consciousness emerged, questioning whether advanced systems sheould have rights and how societies should ethically manage their integration, highlighting the growing urgency for robust AI governance frameworks.
Intelligence Humour
Thank you for tuning in to this week's edition of Superintelligence Newsletter! Stay connected for more groundbreaking insights and updates on the latest in AI and superintelligence.
For more in-depth articles and expert perspectives, visit our website | Have feedback? Provide feedback.
Stay curious, stay informed, and keep pushing the boundaries of what's possible!
Until Next Time!
Superintelligence Team.