arXiv:2603.28939v1 Announce Type: new
Abstract: This work revisits operator learning from a spectral perspective by introducing Polar Linear Algebra, a structured framework based on polar geometry that combines a linear radial component with a periodic angular component. Starting from this formulat...
Working Paper: Towards a Category-theoretic Comparative Framework for Artificial General Intelligence
arXiv:2603.28906v1 Announce Type: new
Abstract: AGI has become the Holly Grail of AI with the promise of level intelligence and the major Tech companies around the world are investing unprecedented amounts of resources in its pursuit. Yet, there does not exist a single formal definition and only so...
Towards Computational Social Dynamics of Semi-Autonomous AI Agents
arXiv:2603.28928v1 Announce Type: new
Abstract: We present the first comprehensive study of emergent social organization among AI agents in hierarchical multi-agent systems, documenting the spontaneous formation of labor unions, criminal syndicates, and proto-nation-states within production AI depl...
arXiv:2603.28955v1 Announce Type: new
Abstract: This paper presents the World-Action Model (WAM), an action-regularized world model that jointly reasons over future visual observations and the actions that drive state transitions. Unlike conventional world models trained solely via image prediction...
Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
arXiv:2603.28986v1 Announce Type: new
Abstract: Current Autonomous Scientific Research (ASR) systems, despite leveraging large language models (LLMs) and agentic architectures, remain constrained by fixed workflows and toolsets that prevent adaptation to evolving tasks and environments. We introduc...
Yupp.ai shuts down after raising $33M from a16z crypto’s Chris Dixon
Less than a year after launching, with checks from some of the biggest names in Silicon Valley, crowdsourced AI model feedback startup Yupp.ai is closing its business, the company said Tuesday.
The Map of Meaning: How Embedding Models “Understand” Human Language
Learn why embedding models are like a GPS for meaning. Instead of searching for exact words, it navigates a "Map of Ideas" to find concepts that share the same vibe. From battery types to soda flavors, learn how to fine-tune these digital fingerprints for pinpoint accuracy in your next AI project.
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Qwen3.5-Omni is here! Scaling up to a Native Omni-modal AGI
Multimodal AI has grown from novelty to a must in recent times. Need proof? If I were to tell you to work on an AI model that only understands text, you would probably laugh and throw 10 model names at me that can work across formats – be it text, audio, or visuals. The new […]
The post Qwen3.5-Omni...
Shifting to AI model customization is an architectural imperative
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improveme...
Exclusive: Runway launches $10M fund, Builders program to support early stage AI startups
Runway is launching a $10 million fund and startup program to back companies building with its AI video models, as it pushes toward interactive, real-time “video intelligence” applications.
I’ve been so surprised by how fast individual builders can now ship real and useful prototypes. Tools like Claude Code, Google AntiGravity, and the growing ecosystem around them have crossed a threshold: you can inspect what others are building online and realize just how fast you can build today. O...
AI benchmarks are broken. Here’s what we need instead.
For decades, artificial intelligence has been evaluated through the question of whether machines outperform humans. From chess to advanced math, from coding to essay writing, the performance of AI models and applications is tested against that of individual humans completing tasks. This framing is ...
On February 10, 2026, Scott Shambaugh—a volunteer maintainer for Matplotlib, one of the world’s most popular open source software libraries—rejected a proposed code change. Why? Because an AI agent wrote it. Standard policy. What happened next wasn’t standard, though. The AI agent autonomously resea...
DNA robots could deliver drugs and hunt viruses inside your body
DNA robots are emerging as tiny programmable machines that could one day deliver drugs, hunt viruses, and build molecular-scale devices. By borrowing ideas from traditional robotics and combining them with DNA folding techniques, scientists are creating structures that can move and act with precisio...
Gemini 3.1 Flash Live: AI Conversations Now Feel Way More Human
Do you remember the very first AI voice conversation that you had? No doubt, it felt unreal getting live answers from a talking bot. But the one thing largely missing from the interaction was the feel of a human responding to your queries. Years on, we now see AI models have evolved largely in this ...
Alibaba Qwen Team Releases Qwen3.5 Omni: A Native Multimodal Model for Text, Audio, Video, and Realtime Interaction
The landscape of multimodal large language models (MLLMs) has shifted from experimental ‘wrappers’—where separate vision or audio encoders are stitched onto a text-based backbone—to native, end-to-end ‘omnimodal’ architectures. Alibaba Qwen team latest release, Qwen3.5-Omni, represents a significant...
Boundary-aware Prototype-driven Adversarial Alignment for Cross-Corpus EEG Emotion Recognition
arXiv:2603.26713v1 Announce Type: new
Abstract: Electroencephalography (EEG)-based emotion recognition suffers from severe performance degradation when models are transferred across heterogeneous datasets due to physiological variability, experimental paradigm differences, and device inconsistencie...