Welcome to M5BMachine 5-Minute Briefing

arXiv:2512.14712v1 Announce Type: new Abstract: Sepsis accounts for nearly 20% of global ICU admissions, yet conventional prediction models often fail to effectively integrate heterogeneous data streams, remaining either siloed by modality or reliant on brittle early fusion. In this work, we presen...

arXiv:2512.14714v1 Announce Type: new Abstract: Remotely detecting and classifying underwater acoustic targets is critical for environmental monitoring and defence. However, the complex nature of ship-radiated and environmental underwater noise poses significant challenges to accurate signal proces...

The following article originally appeared on Medium and is being republished here with the author’s permission. There’s a fake confidence you can carry around when you’re learning a new technology. You watch a few videos, skim some docs, get a toy example working, and tell yourself, “Yeah, I’ve got ...

The era of AI evangelism is giving way to evaluation. Stanford faculty see a coming year defined by rigor, transparency, and a long-overdue focus on actual utility over speculative promise.

Irving Finkel is a scholar of ancient languages and a longtime curator at the British Museum, renowned for his expertise in Mesopotamian history and cuneiform writing. He specializes in reading and interpreting cuneiform inscriptions, including tablets from Sumerian, Akkadian, Babylonian, and Assyri...

Stream every session from AIAI London, with sessions from OpenAI, Synthesia, Wayve, Databricks, Financial Times, BBC and more.

AI advice can be rated “safe” yet still harm vulnerable users. New research reveals why context, not benchmarks, defines real AI safety.

arXiv:2512.09947v1 Announce Type: new Abstract: Heterogeneous graph neural networks (HGNNs) have demonstrated strong capability in modeling complex semantics across multi-type nodes and relations. However, their scalability to large-scale graphs remains challenging due to structural redundancy and ...

arXiv:2512.09972v1 Announce Type: new Abstract: Constructing a Pareto set is pivotal for navigating the capability-efficiency trade-offs in Large Language Models (LLMs); however, existing merging techniques remain inadequate for this task. Coarse-grained, model-level methods yield only a sparse set...

arXiv:2512.10033v1 Announce Type: new Abstract: Accelerated gradient methods like Nesterov's Accelerated Gradient (NAG) achieve faster convergence on well-conditioned problems but often diverge on ill-conditioned or non-convex landscapes due to aggressive momentum accumulation. We propose Heavy-Bal...

Google DeepMind and UK AI Security Institute (AISI) strengthen collaboration on critical AI safety and security research

Deepening our partnership with the UK government to support prosperity and security in the AI era

The following article originally appeared on Medium and is being republished here with the author’s permission. This post is a follow-up to a post from last week on the progress of logging. A colleague pushed back on the idea that we’d soon be running code we don’t fully understand. He was skeptical...

Quantum computing (QC) and AI have one thing in common: They make mistakes. There are two keys to handling mistakes in QC: We’ve made tremendous progress in error correction in the last year. And QC focuses on problems where generating a solution is extremely difficult, but verifying it is easy. Thi...

Five teams will use the funding to advance their work in biology, generative AI and creativity, policing, and more.

Michael Levin is a biologist at Tufts University working on novel ways to understand and control complex pattern formation in biological systems. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep486-sc See below for timestamps, transcript, and to give feedback, sub...

In this post, I’ll introduce a reinforcement learning (RL) algorithm based on an “alternative” paradigm: divide and conquer. Unlike traditional methods, this algorithm is not based on temporal difference (TD) learning (which has scalability challenges), and scales well to long-horizon tasks. We ...

Dan Houser is co-founder of Rockstar Games and is a legendary creative mind behind Grand Theft Auto (GTA) and Red Dead Redemption series of video games. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep484-sc See below for timestamps, transcript, and to give feedba...

With corporate AI labs turning inward, academia must carry forward the mantle of open science.

Julia Shaw is a criminal psychologist and author who in her books explores human nature, including psychopathy, violent crime, the psychology of evil, police interrogation, false memory manipulation, deception detection, and human sexuality. Thank you for listening ❤ Check out our sponsors: https://...

What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in a minimal yet interesting language modeling task. Despite the fact that word2vec is a well-known precursor to modern language models, for many years, researchers lacked a quantitati...

× Predicting Ego-centric Video from human Actions (PEVA). Given past video frames and an action specifying a desired change in 3D pose, PEVA predicts the next video frame. Our results show that, given the first frame and a sequence of actions, our model can generate videos of...

"In projecting language back as the model for thought, we lose sight of the tacit embodied understanding that undergirds our intelligence." –Terry WinogradThe recent successes of generative AI models have convinced some that AGI is imminent. While these models appear to capture the essence of human...

Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (ins...