Author: Advanced AI Editor

A high-profile legal case has unearthed a trove of internal Meta communications, and one particular document has caught the eye of some AI researchers.This reveals new insights into how models are built and could influence who gets to share in the spoils of this new technology.Buried in these court filings is a description of how Meta researchers used a process called ablation to identify which data helped improve the company’s Llama AI models.Ablation is a medical technique that purposely destroys tissue to improve things like brain function. In AI, it involves removing parts of a system to study how those…

ChatGPT went viral in late 2022, changing the tech world. Generative AI became the top priority for every tech company, and that’s how we ended up with “smart” fridges with built-in AI. Artificial intelligence is being built into everything, sometimes for the hype alone, with products like ChatGPT, Claude, and Gemini having come a long way since late 2022.As soon as it became clear that genAI would reshape technology, likely leading to advanced AI systems that can do everything humans can do but better and faster, we started seeing worries that AI would negatively impact society and doom scenarios where…

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers from Stanford University and Google DeepMind have unveiled Step-Wise Reinforcement Learning (SWiRL), a technique designed to enhance the ability of large language models (LLMs) to tackle complex tasks requiring multi-step reasoning and tool use.  As the interest in AI agents and LLM tool use continues to increase, this technique could offer substantial benefits for enterprises looking to integrate reasoning models into their applications and workflows. The challenge of multi-step problems Real-world enterprise applications often involve multi-step processes. For example, planning…

[Submitted on 8 Oct 2024 (v1), last revised 22 Apr 2025 (this version, v2)] View a PDF of the paper titled Multimodal Situational Safety, by Kaiwen Zhou and 5 other authors View PDF HTML (experimental) Abstract:Multimodal Large Language Models (MLLMs) are rapidly evolving, demonstrating impressive capabilities as multimodal assistants that interact with both humans and their environments. However, this increased sophistication introduces significant safety concerns. In this paper, we present the first evaluation and analysis of a novel safety challenge termed Multimodal Situational Safety, which explores how safety considerations vary based on the specific situation in which the user or…

Researchers from Stanford University early today published the latest edition of their annual AI Index Report, detailing the growing influence of artificial intelligence technologies on our society and the global economy. The Stanford Institute for Human-Centered Artificial Intelligence, known as Stanford HAI, has been publishing its annual reports on the state of the AI industry since 2017. This year’s edition, the eighth, is the “most comprehensive” report to date, spanning more than 430 pages. The authors say it’s arriving at a critical juncture as the influence of AI across society rapidly accelerates with the emergence of increasingly capable and sophisticated…

We don’t normally spend a lot of time writing about IBM mainframes, but these big iron systems drive a lot of transactions in the world – transactions flush with demographics and context that will feed into AI models – and will be doing native and integrated AI processing for the applications that push those applications. And most of the other big iron machines installed in the world are based on Big Blue’s other processing line, the Power Systems machines based on a dozen generations of Power RISC CPUs. These System z and Power Systems lines are running mission critical applications,…

But the topline figures obscure a fragmented regulatory approach The government wants the UK to provide an agile, adaptive environment for AI developers. Is the existing regulatory framework up to it? Following on from yesterday’s coverage in Computing of Labour Party proposals to manage and regulate AI technology development, the government yesterday set out it’s approach in response to the consultation it published last March. Last years’ white paper focused on an agile, pro-innovation approach to AI regulation. The government made clear that it wanted to regulate with a light touch. A crucial aspect of this light touch regulation was…

Trump’s tariffs have upended global trade and created an environment of uncertainty. But this situation wasn’t created in a vacuum. The rules of business have been shifting for years as technology moves quicker than regulation, geopolitics descend into turmoil, and the law erodes and becomes weaponized.  Businesses might be asking themselves, how are they meant to keep their heads above water? And what can they do to fight back?   Hence AI co-founder Sean West has some answers. With a team spread across the U.K., Rwanda, the U.S., and the Netherlands, the London-based startup has raised $5.2 million to date with…

#deeplearning #symbolic #research This video includes an interview with first author Stéphane d’Ascoli ( Deep neural networks are typically excellent at numeric regression, but using them for symbolic computation has largely been ignored so far. This paper uses transformers to do symbolic regression on integer and floating point number sequences, which means that given the start of a sequence of numbers, the model has to not only predict the correct continuation, but also predict the data generating formula behind the sequence. Through clever encoding of the input space and a well constructed training data generation process, this paper’s model can…

❤️ Check out the Gradient Dissent podcast by Weights & Biases: 📝 The paper “DC2: Dual-Camera Defocus Control by Learning to Refocus” is available here: The paper I am 🙌📜-ing in the intro: My latest paper on simulations that look almost like reality is available for free here: Or this is the orig. Nature Physics link with clickable citations: 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bret Brizzee, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Jace…