Saturday — November 9, 2024
Claude AI to analyze secret government data through a Palantir deal, researchers propose WACK to combat hallucinations in language models, and Llama Deck emerges as a CLI for managing Llama inference implementations in multiple languages.
News
Claude AI to process secret government data through new Palantir deal
Anthropic has partnered with Palantir and Amazon Web Services to bring its Claude AI models to US intelligence and defense agencies, allowing the AI to process and analyze secret government data. Critics argue that this deal contradicts Anthropic's publicly stated commitment to AI safety and ethics, as the company had marketed itself as a responsible and safety-focused AI developer.
Toy Models of Superposition (2022)
Researchers studied how artificial neural networks represent features, finding that some neurons correspond to clean features, while others don't, and that this phenomenon, called superposition, allows models to store additional features by tolerating some interference. They used toy models to demonstrate that superposition occurs in artificial neural networks and discovered that it exhibits complex geometric structure and may be linked to adversarial examples and other phenomena.
TSMC to stop supplying advanced AI processors for all of its China customers
TSMC will stop supplying advanced AI processors to all its China customers starting November 11, affecting chips made on 7nm-class and lower nodes. This change is reportedly due to US export restrictions and a desire to strengthen internal controls, and will impact China-based developers of AI processors, including Alibaba and Baidu.
Are Devs Becoming Lazy? The Rise of AI and the Decline of Care
The increasing use of AI-powered tools like GitHub Copilot in software development is leading to concerns that developers are becoming "lazy" and relying too heavily on these tools, potentially introducing security risks and neglecting critical thinking and problem-solving skills. To avoid this, developers should use AI tools as assistants rather than autopilots, reviewing and improving AI-generated code, staying sharp on core skills, and investing in security training.
Painting by A.I.-Powered Robot Sells for $1.1M
A portrait of British mathematician Alan Turing, created by a humanoid robot named Ai-Da powered by artificial intelligence, sold at auction for nearly $1.1 million. The painting, which depicted Turing as the god of artificial intelligence, was initially estimated to sell for $120,000 to $180,000 but received over 27 bids before being sold to an anonymous US buyer.
Research
Distinguishing Ignorance from Error in LLM Hallucinations
Large language models are prone to hallucinations, which can be divided into two types: those where the model lacks the correct answer and those where the model has the knowledge but answers incorrectly. Researchers have developed a method called Wrong Answer despite having Correct Knowledge (WACK) to identify and mitigate the second type of hallucination, which can be addressed by intervening in the model's internal computation.
AI Knowledge and Reasoning: Emulating Expert Creativity in Scientific Research
Researchers tested AI's ability to emulate expert creativity in scientific research by having it analyze and predict outcomes from recently published studies it had not been trained on. The results showed the AI's proficiency in understanding specialized research, deductive reasoning, and evaluating evidence, suggesting its potential to transform academia and automate roles requiring knowledge-based creativity.
LoRA vs. Full Fine-Tuning: An Illusion of Equivalence
Researchers analyzed how different fine-tuning methods, specifically full fine-tuning and Low-Rank Adaptation (LoRA), alter pre-trained language models, finding that the two methods produce models with distinct weight matrix structures and generalization behaviors. LoRA models, despite matching full fine-tuning performance on specific tasks, can become less robust and worse models of the pre-training distribution, particularly when exhibiting "intruder dimensions" in their weight matrices.
From MOOC to MAIC:Reshaping Online Teaching and Learning Through LLMdriven Agent
The integration of AI technologies, particularly large language models, has led to the development of educational AI applications and a new form of online education called MAIC, which leverages AI-augmented classrooms for scalable and adaptive learning. A preliminary experiment at Tsinghua University has yielded valuable observations, and the project aims to establish a comprehensive open platform for collaborative research and innovation in AI-driven online education.
Small Language Models: Techniques, Enhancements, Applications, Trustworthiness
Large language models (LLMs) face limitations due to their large parameter sizes and computational demands, leading to concerns over privacy, cost, and real-time application. Small Language Models (SLMs) are increasingly favored for their efficiency, cost-effectiveness, and adaptability, making them ideal for resource-limited environments and domain-specific applications.
Code
Show HN: HyperTAG, AI-Powered Telegram Bot That Summarizes URLs & YouTube Links
HyperTAG is a Telegram bot that uses advanced AI models to generate context-aware tags and summaries for messages, analyzing text content and links to produce relevant tags and summaries. The bot can be used to automatically create tags and summaries for channel posts and can be customized through a configuration file to optimize its functionality.
OpenHands AI
OpenHands is a platform for software development agents powered by AI, allowing agents to perform tasks such as modifying code, running commands, and browsing the web. The platform is open-source and community-driven, with various ways to contribute, including code contributions, research, and feedback.
Show HN: Beehive – AI Agent Orchestration
Beehive is an open-source framework for building AI agents that can cooperate to solve tasks, using a language model as the decision-making engine. It allows for rapid creation of complex chat patterns between agents and shares features with other agentic frameworks, including loops, conditionals, state management, and streaming support.
Llama Deck:CLI for running multiple language implementations of LLM inference
Llama Deck is a command-line tool for managing and experimenting with multiple versions of Llama inference implementations, allowing users to filter and download different implementations and models. The tool supports various languages and provides Docker images for easy deployment and running of the implementations.
Show HN: Real-time GPT-4o photo/video/voice chat
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