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...
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...
Enterprises power agentic workflows in Cloudflare Agent Cloud with OpenAI
Cloudflare brings OpenAI’s GPT-5.4 and Codex to Agent Cloud, enabling enterprises to build, deploy, and scale AI agents for real-world tasks with speed and security.
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 ...
AI Weekly Issue #483: 100 years from now : The Ghost in the Contract
This is 100 Years From Now, a weekly series. Once a week, we skip ahead a century and imagine ordinary life in a world that's had a hundred years to absorb the things we're only beginning to build. No predictions — just honest speculation about where our choices lead.
This week: what happens when ac...
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 ...
Sam Altman responds to ‘incendiary’ New Yorker article after attack on his home
The OpenAI CEO's new blog post responds to both an apparent attack on his home and an in-depth New Yorker profile raising questions about his trustworthiness.
How Knowledge Distillation Compresses Ensemble Intelligence into a Single Deployable AI Model
Complex prediction problems often lead to ensembles because combining multiple models improves accuracy by reducing variance and capturing diverse patterns. However, these ensembles are impractical in production due to latency constraints and operational complexity. Instead of discarding them, Knowl...
Alibaba’s Tongyi Lab Releases VimRAG: a Multimodal RAG Framework that Uses a Memory Graph to Navigate Massive Visual Contexts
Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images and videos, the whole approach starts to buckle. Visual data is token-heavy, semantically sparse relat...
NVIDIA Releases AITune: An Open-Source Inference Toolkit That Automatically Finds the Fastest Inference Backend for Any PyTorch Model
Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists, Torch-TensorRT exists, TorchAO exists — but wiring them together, deciding which backend to use for which la...