Latest from MIT Tech Review – Google DeepMind is using Gemini to train agents inside Goat Simulator 3

Google DeepMind has built a new video-game-playing agent called SIMA 2 that can navigate and solve problems in a wide range of 3D virtual worlds. The company claims it’s a big step toward more general-purpose agents and better real-world robots.    Google DeepMind first demoed SIMA (which stands for “scalable instructable multiworld agent”) last year. But…

O’Reilly Media – AI Overviews Shouldn’t Be “One Size Fits All”

The following originally appeared on Asimov’s Addendum and is being republished here with the author’s permission. The other day, I was looking for parking information at Dulles International Airport, and was delighted with the conciseness and accuracy of Google’s AI overview. It was much more convenient than being told that the information could be found…

O’Reilly Media – Your AI Pair Programmer Is Not a Person

The following article originally appeared on Medium and is being republished here with the author’s permission. Early on, I caught myself saying “you” to my AI tools—“Can you add retries?” “Great idea!”—like I was talking to a junior dev. And then I’d get mad when it didn’t “understand” me. That’s on me. These models aren’t…

Latest from MIT Tech Review – Improving VMware migration workflows with agentic AI

For years, many chief information officers (CIOs) looked at VMware-to-cloud migrations with a wary pragmatism. Manually mapping dependencies and rewriting legacy apps mid-flight was not an enticing, low-lift proposition for enterprise IT teams. But the calculus for such decisions has changed dramatically in a short period of time. Following recent VMware licensing changes, organizations are…

O’Reilly Media – The Other 80%: What Productivity Really Means

We’ve been bombarded with claims about how much generative AI improves software developer productivity: It turns regular programmers into 10x programmers, and 10x programmers into 100x. And even more recently, we’ve been (somewhat less, but still) bombarded with the other side of the story: METR reports that, despite software developers’ belief that their productivity has…

Latest from MIT : Understanding the nuances of human-like intelligence

What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better understand the artificial intelligence systems that are becoming a more significant part of our everyday lives? These questions may be deeply philosophical, but for Phillip Isola, finding the answers is as much about computation as…

Latest from MIT Tech Review – Reimagining cybersecurity in the era of AI and quantum

AI and quantum technologies are dramatically reconfiguring how cybersecurity functions, redefining the speed and scale with which digital defenders and their adversaries can operate. The weaponization of AI tools for cyberattacks is already proving a worthy opponent to current defenses. From reconnaissance to ransomware, cybercriminals can automate attacks faster than ever before with AI. This…

O’Reilly Media – Fixing Enterprise Apps with AI: The T+n Problem

We’ve been watching enterprises struggle with the same customer service paradox for years: They have all the technology in the world, yet a simple address change still takes three days. The problem isn’t what you think—and neither is the solution. Last month, I watched a colleague try to update their address with their bank. It…

Latest from MIT : MIT Energy Initiative launches Data Center Power Forum

With global power demand from data centers expected to more than double by 2030, the MIT Energy Initiative (MITEI) in September launched an effort that brings together MIT researchers and industry experts to explore innovative solutions for powering the data-driven future. At its annual research conference, MITEI announced the Data Center Power Forum, a targeted research effort for…

UC Berkeley – Whole-Body Conditioned Egocentric Video Prediction

× 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 atomic actions (a), simulate counterfactuals (b), and support…