Q&A: MIT SHASS and the future of education in the age of AI
As the School of Humanities, Arts, and Social Sciences marks 75 years, Dean Agustín Rayo reflects on how AI is reshaping higher education and why SHASS disciplines continue to be central to MIT’s mission.
I can’t claim to be a professional software developer—not by a long shot. I occasionally write some Python code to analyze spreadsheets, and I occasionally hack something together on my own, usually related to prime numbers or numerical analysis. But I have to admit that I identify with both of the ...
Bringing people together at AI for the Economy Forum
Woman working with a large tool. On the left are the Google and MIT FutureTech logos, "AI for the Economy Forum", and "Innovation and Adaption in the New Era"
NVIDIA and the University of Maryland Researchers Released Audio Flamingo Next (AF-Next): A Super Powerful and Open Large Audio-Language Model
Understanding audio has always been the multimodal frontier that lags behind vision. While image-language models have rapidly scaled toward real-world deployment, building open models that robustly reason over speech, environmental sounds, and music — especially at length — has remained quite hard. ...
Quantum‑Accelerated AI: The First Real Break From the Scaling Wall
Quantum optimization is emerging as the first real escape from AI’s scaling limits—accelerating training, reducing compute costs, and redefining frontier models.
Google AI Research Proposes Vantage: An LLM-Based Protocol for Measuring Collaboration, Creativity, and Critical Thinking
Standardized tests can tell you whether a student knows calculus or can parse a passage of text. What they cannot reliably tell you is whether that student can resolve a disagreement with a teammate, generate genuinely original ideas under pressure, or critically dismantle a flawed argument. These a...
“Giant superatoms” could finally solve quantum computing’s biggest problem
In the pursuit of powerful and stable quantum computers, researchers at Chalmers University of Technology, Sweden, have developed the theory for an entirely new quantum system – based on the novel concept of ‘giant superatoms’. This breakthrough enables quantum information to be protected, controlle...
Comprehension Debt: The Hidden Cost of AI-Generated Code
The following article originally appeared on Addy Osmani’s blog site and is being reposted here with the author’s permission. Comprehension debt is the hidden cost to human intelligence and memory resulting from excessive reliance on AI and automation. For engineers, it applies most to agentic engin...
Moovila Earns Multiple AI Industry Honors, Recognised in Second CRN AI 100
Moovila, the leading AI-driven project automation platform for managed service providers (MSPs), has been named to the 2026 CRN AI 100 list in the AI Software category. This marks the second consecutive year Moovila has been recognized on the prestigious list, which highlights companies driving inno...
Multi-agent orchestration with human-in-the-loop oversight compresses full-scope pentest engagements from weeks to under 48 hours Strobes, a leader in Exposure Management, today announced the launch of its proprietary AI Harness, a multi-agent orchestration engine that powers end-to-end AI Penetrati...
MiniMax Releases MMX-CLI: A Command-Line Interface That Gives AI Agents Native Access to Image, Video, Speech, Music, Vision, and Search
MiniMax, the AI research company behind the MiniMax omni-modal model stack, has released MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative capabilities, both to human developers working in a terminal and to AI agents running in tools like ...
Meta AI and KAUST Researchers Propose Neural Computers That Fold Computation, Memory, and I/O Into One Learned Model
Researchers from Meta AI and the King Abdullah University of Science and Technology (KAUST) have introduced Neural Computers (NCs) — a proposed machine form in which a neural network itself acts as the running computer, rather than as a layer sitting on top of one. The research team presents both a ...
A Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
In this tutorial, we walk through MolmoAct step by step and build a practical understanding of how action-reasoning models can reason in space from visual observations. We set up the environment, load the model, prepare multi-view image inputs, and explore how MolmoAct produces depth-aware reasoning...
MiniMax Just Open Sourced MiniMax M2.7: A Self-Evolving Agent Model that Scores 56.22% on SWE-Pro and 57.0% on Terminal Bench 2
MiniMax has officially open-sourced MiniMax M2.7, making the model weights publicly available on Hugging Face. Originally announced on March 18, 2026, MiniMax M2.7 is the MiniMax’s most capable open-source model to date — and its first model to actively participate in its own development cycle, a me...
Four-Day Workweeks and Robot Taxes? OpenAI’s Radical Vision for the AI Future Is Turning Heads
It sounds like a late-night conversation with friends, what if artificial intelligence becomes so capable that we simply start working less. and what if we tax machines instead of people? It turns out you don’t need to dream big to make this conversation a reality. It’s now on the agenda of OpenAI. ...
The Robot Uprising Didn’t Happen. But Something Worse Did
More than 50,000 tech employees have lost their jobs so far this year. Asked why, most will say the same thing: artificial intelligence. Not because AI rose up and destroyed their workplaces, but because it assumed many of their responsibilities. And AI doesn’t draw a salary. So far this year, more ...
The End of Clicking? AI Is Quietly Turning Software Into Something That Just… Listens
Imagine never having to click through a software application again. Ever. The days of finding yourself staring blankly at the first screen of a new tool and wondering “What do I do now?” are disappearing. AI is quietly changing the way software is built and it’s a massive deal. Instead of software a...
Liquid AI Releases LFM2.5-VL-450M: a 450M-Parameter Vision-Language Model with Bounding Box Prediction, Multilingual Support, and Sub-250ms Edge Inference
Liquid AI just released LFM2.5-VL-450M, an updated version of its earlier LFM2-VL-450M vision-language model. The new release introduces bounding box prediction, improved instruction following, expanded multilingual understanding, and function calling support — all within a 450M-parameter footprint ...
Researchers from MIT, NVIDIA, and Zhejiang University Propose TriAttention: A KV Cache Compression Method That Matches Full Attention at 2.5× Higher Throughput
Long-chain reasoning is one of the most compute-intensive tasks in modern large language models. When a model like DeepSeek-R1 or Qwen3 works through a complex math problem, it can generate tens of thousands of tokens before arriving at an answer. Every one of those tokens must be stored in what is ...