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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 analysis firm behind the MiniMax omni-modal mannequin stack, has launched MMX-CLI — Node.js-based command-line interface that exposes the MiniMax AI platform’s full suite of generative capabilities, each to human builders working in a terminal and to AI brokers operating in instruments like Cursor, Claude Code, and OpenCode. What Problem Is MMX-CLI Solving?…
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A Hands-On Coding Tutorial for Microsoft VibeVoice Covering Speaker-Aware ASR, Real-Time TTS, and Speech-to-Speech Pipelines
In this tutorial, we discover Microsoft VibeVoice in Colab and construct an entire hands-on workflow for each speech recognition and real-time speech synthesis. We arrange the setting from scratch, set up the required dependencies, confirm assist for the newest VibeVoice fashions, and then stroll by means of superior capabilities akin to speaker-aware transcription, context-guided ASR,…
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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 launched Neural Computers (NCs) — a proposed machine kind during which a neural community itself acts because the operating laptop, reasonably than as a layer sitting on high of 1. The analysis staff presents each a theoretical framework and two…
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A Coding Implementation of MolmoAct for Depth-Aware Spatial Reasoning, Visual Trajectory Tracing, and Robotic Action Prediction
In this tutorial, we stroll by MolmoAct step-by-step and construct a sensible understanding of how action-reasoning fashions can cause in area from visible observations. We arrange the surroundings, load the mannequin, put together multi-view picture inputs, and discover how MolmoAct produces depth-aware reasoning, visible traces, and actionable robotic outputs from pure language directions. As we…
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“When Machines Start Thinking Too Much”: Why Experts Are Suddenly Worried About AI Going Rogue
Something has shifted within the air round AI. It just isn’t a dramatic flip of occasions, the type that often heralds a brand new daybreak, however extra akin to a hushed room, the place everybody all of a sudden appears to be like round. This has occurred over the past couple of days, as a…
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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 formally open-sourced MiniMax M2.7, making the mannequin weights publicly out there on Hugging Face. Originally introduced on March 18, 2026, MiniMax M2.7 is the MiniMax’s most succesful open-source mannequin thus far — and its first mannequin to actively take part in its personal growth cycle, a significant shift in how massive language fashions…
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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 simply launched LFM2.5-VL-450M, an up to date model of its earlier LFM2-VL-450M vision-language mannequin. The new launch introduces bounding field prediction, improved instruction following, expanded multilingual understanding, and operate calling help — all inside a 450M-parameter footprint designed to run straight on edge {hardware} starting from embedded AI modules like NVIDIA Jetson Orin,…
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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 without doubt one of the most compute-intensive duties in fashionable massive language fashions. When a mannequin like DeepSeek-R1 or Qwen3 works by way of a posh math drawback, it may generate tens of 1000’s of tokens earlier than arriving at a solution. Every a type of tokens have to be saved in…
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How to Build a Secure Local-First Agent Runtime with OpenClaw Gateway, Skills, and Controlled Tool Execution
In this tutorial, we construct and function a absolutely native, schema-valid OpenClaw runtime. We configure the OpenClaw gateway with strict loopback binding, arrange authenticated mannequin entry via surroundings variables, and outline a safe execution surroundings utilizing the built-in exec instrument. We then create a structured customized talent that the OpenClaw agent can uncover and invoke…
