Apr 4, 2024

• LLocalSearch introduces significant performance upgrades and a new embedding model as of 05.04.2024, enhancing its capability to aggregate search results locally using a chain of LLM Agents without the need for OpenAI or Google API keys.

• Large Language Models (LLMs) are criticized for stagnating AI research, with improvements largely focused on scaling up rather than innovating in design or performance post-GPT4.

• An AI-generated sad girl with a piano performs the text of the MIT License, blending legal text with musical artistry.

• Plandex is an open-source, terminal-based AI coding engine designed to automate complex software development tasks by breaking them down into manageable subtasks, leveraging long-running agents for multi-file, multi-step operations.

• Aalto University's study reveals that Apple's default apps collect data even when disabled, challenging the company's privacy claims; the research was presented at the CHI conference and is detailed in a peer-reviewed paper.

• Great Tables aims to solve the great table dilemma by enabling the creation of sophisticated tables in Python, drawing from a rich history of table design and addressing modern data presentation challenges. Great Tables GitHub

• A Washington's Lottery AI mobile site inadvertently generated an image depicting a user in a state of undress, leading to the site's shutdown for review.

• Stock prediction research papers showcase impressive achievements but often remain unapplied in real-world scenarios, sparking curiosity about their practical viability.

• JetMoE-8B, costing under $0.1 million to train, surpasses Meta AI's LLaMA2-7B in performance, challenging the notion that large language model (LLM) training requires vast financial resources.

• Langflow, initially an open-source platform for exploring LLM applications, has joined forces with DataStax to focus on enhancing AI's interactivity, safety, and control.

• A rule-based system (RBS) outperformed a large language model (LLM) in extracting social support (SS) and social isolation (SI) information from clinical psychiatry notes, achieving higher macro-averaged f-scores.

• Fine-tuning a general-purpose LLM in 2024 involves navigating performance vs. cost trade-offs, especially when training from scratch is not financially viable.

• Think-and-Execute, a novel framework introduced in this study, enhances language models' algorithmic reasoning by decomposing the process into generating task-level pseudocode and simulating its execution.

• Alejandro Caceres, under the pseudonym P4x, executed a solo cyberattack that incapacitated North Korea's internet, motivated by personal grievances and a desire to demonstrate the vulnerability of the regime to American hackers.

• OpenAI has enhanced its fine-tuning API and expanded the custom models program, offering developers increased control and collaboration opportunities for model customization.