Issue 79 7th January 2025

Highlights

OpenAI is beginning to turn its attention to ‘superintelligence’

In a post on his personal blog, OpenAI CEO Sam Altman said that he believes OpenAI “know[s] how to build [artificial general intelligence]” as it has traditionally understood it — and is beginning to turn its aim to “superintelligence.” “We love our current products, but we are here for the glorious future,” Altman wrote in […]

AIOpsLab: Building AI agents for autonomous clouds

AIOpsLab is an open-source framework designed to evaluate and improve AI agents for cloud operations, offering standardized, scalable benchmarks for real-world testing, enhancing cloud system reliability.

Sora is here

Our video generation model, Sora, is now available to use at sora.com. Users can generate videos up to 1080p resolution, up to 20 sec long, and in widescreen, vertical or square aspect ratios. You can bring your own assets to extend, remix, and blend, or generate entirely new content from text.

Video

Kence Anderson - Silicon Minds, Human Hearts

In this episode, we're excited to have Kence Anderson, the CEO of Composabl, join us at the Microsoft San Francisco garage to discuss the fascinating world of autonomous agents.

Articles

Nvidia completes acquisition of AI infrastructure startup Run:ai

Nvidia has completed its acquisition of Run:ai, an Israeli startup that helps manage and optimize AI hardware infrastructure. As part of the merger, Run:ai said its software, which currently only works with Nvidia products, will be open sourced, meaning Nvidia rivals like AMD and Intel will be able to adapt it for their hardware.

Multi-Agentic RAG with Hugging Face Code Agents

Using Qwen2.5–7B-Instruct powered code agents to create a local, open source, multi-agentic RAG system.

‘Godfather’ of artificial intelligence has a surprising blindspot | Letters

Rachel Withers says people need to get real about their non-mastery of all they survey, and George Burt discusses slavery, political oppression and AI Prof Geoffrey Hinton, the “godfather of artificial intelligence”, states that he struggles to find examples of “more intelligent thing[s] being controlled by … less intelligent thing[s]”; the mother-baby relationship is the only example he can cite (‘Godfather of AI’ shortens odds of the technology wiping out humanity over next 30 years, 27 December). This seems a strange outbreak of aspect blindness, especially given Hinton’s specialism.

Improve RAG performance with torch.compile on AWS Graviton Processors

Large Language Models (LLMs) are trained on vast volumes of data and use billions of parameters to support tasks like answering questions, translating languages, and completing sentences. There are a few challenges when working with LLMs such as domain knowledge gaps, factuality issues, and hallucination, which affect their reliability especially for the fields that require high levels of accuracy, such as healthcare, law, or engineering. Retrieval Augmented Generation (RAG) provides a solution to mitigate some of these issues by augmenting LLMs with a specific domain or an organization’s internal knowledge base, without the need to retrain the model.

GDD: Generative Driven Design

The codebase balloons, and bot rot becomes obvious: duplicated and often conflicting business logic, colliding, generic and non-descriptive names for modules, objects, and variables, swamps of dead code and boilerplate commentary, a littering of conflicting singleton elements like loggers, settings objects, and configurations.

MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.

Building Safer AI Applications: A Practical Approach | Microsoft Community Hub

Building AI-powered applications requires careful attention to responsible development practices. This blog shares our experience implementing AI safety...

Announcing the NeurIPS 2024 Best Paper Awards

Announcing the NeurIPS 2024 Best Paper Awards By Marco Cuturi, Danielle Belgrave, Angela Fan, Ulrich Paquet, Jakub Tomczak, Cheng Zhang, Lora Aroyo, Francesco Locatello, Lingjuan Lyu The search committees for the “Best Paper Award” were nominated by the program chairs and the respective track chairs, who selected leading researchers with a diverse perspective on machine […]

Things we learned about LLMs in 2024

A lot has happened in the world of Large Language Models over the course of 2024. Here’s a review of things we figured out about the field in the past …

Upcoming events

Global AI Bootcamp 2025

The Global AI Bootcamp is an annual event that occurs worldwide, where developers and AI enthusiasts can learn about AI through workshops, sessions, and discussions. Local chapters of the Global AI…