May 2026

The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity

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arXiv:2605.21492v1 Announce Type: new Abstract: No feature ranking can be simultaneously faithful, stable, and complete when features are collinear. For collinear pairs, ranking reduces to a coin flip. We prove this impossibility, quantify it for four model classes, resolve it via ensemble averaging (DASH), and machine-verify it with 305 Lean 4 theorems. We characterize the complete attribution design space: exactly two families of methods exist — faithful-complete methods (unstable, with rankings that flip up to 50% of the […]

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Teaching Language Models to Forecast Research Success Through Comparative Idea Evaluation

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arXiv:2605.21491v1 Announce Type: new Abstract: As language models accelerate scientific research by automating hypothesis generation and implementation, a new bottleneck emerges: evaluating and filtering hundreds of AI-generated ideas without exhaustive experimentation. We ask whether LMs can learn to forecast the empirical success of research ideas before any experiments are run. We study comparative empirical forecasting: given a benchmark-specific research goal and two candidate ideas, predict which will achieve better benchmark performance. We construct a dataset of 11,488 idea […]

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Temporal Contrastive Transformer for Financial Crime Detection: Self-Supervised Sequence Embeddings via Predictive Contrastive Coding

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arXiv:2605.21490v1 Announce Type: new Abstract: We introduce the Temporal Contrastive Transformer (TCT), a representation learning framework designed to capture contextual temporal dynamics in sequences of financial transactions. The model is trained using a self-supervised contrastive objective to produce embeddings that encode behavioral patterns over time, with the goal of supporting downstream fraud detection tasks. We evaluate TCT in a realistic setting by using the learned embeddings as input features to a gradient boosting classifier. Experimental results show that […]

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Novel Problems in VLA [R]

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I’m currently doing a research internship and my supervisor is constantly pushing me to have a novel idea, I’ve read about 15-20 papers about VLA and I think that most of the things are saturated, I thought about an equivariant VLA based on equivariant CNN which was published in 2016 and successfully implemented that, and then I found that someone published that too, do you guys have any advice on what I should do next,? Any suggestions are […]

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What is a Forward Deployed Engineer: The AI Role OpenAI, Anthropic, and Google Are Hiring in 2026

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What is a Forward Deployed Engineer? The term ‘Forward Deployed Engineer’ (FDE) sounds military. That is intentional. A Forward Deployed Engineer is a software engineer who works embedded with the customer’s technical and operational environment on-site, hybrid, remote, or inside a customer cloud or VPC, depending on the engagement. The FDE does not sit at a home office writing documentation. The FDE works alongside the client’s domain experts, inside the client’s workflows, and writes real code that runs […]

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How CopilotKit Is Redefining the Agentic AI Stack in 2026

How CopilotKit Is Redefining the Agentic AI Stack in 2026

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For years, AI inside software meant a chat widget bolted onto the corner of an application. You typed, the model responded with text, and you manually translated that output into whatever you actually needed it to do. It was useful the way a calculator is useful: functional, but fundamentally passive. CopilotKit, a Seattle-based startup co-founded by Atai Barkai and Uli Barkai, has spent the last two years arguing that the model is broken — and in 2026, the […]

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MIT economist Whitney Newey awarded Erwin Plein Nemmers Prize in Economics

MIT economist Whitney Newey awarded Erwin Plein Nemmers Prize in Economics

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MIT economist Whitney Newey PhD ’83, the Ford Professor of Economics, emeritus, has received the 2026 Erwin Plein Nemmers Prize in Economics. The biennial Nemmers prizes from Northwestern University recognize top scholars for their lasting contributions to new knowledge, outstanding achievements, and the development of significant new modes of analysis. The university cited Newey — whose research has focused on econometrics — for producing “a body of work that has shaped the field of semiparametric econometrics, guided both econometricians and empirical […]

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Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window

Qwen Introduces Qwen3.7-Max: A Reasoning Agent Model With a 1M-Token Context Window

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Most AI models today are not designed for sustained, multi-step autonomous execution. Tasks like running hundreds of iterative code modifications, or chaining tool calls across hours without human intervention, require a different kind of model architecture and training focus. Alibaba’s Qwen team formally announced Qwen3.7-Max at the 2026 Alibaba Cloud Summit on May 20. Although, two preview versions of the Qwen3.7 series quietly appeared on Arena AI’s leaderboard with no press release and no official API announcement. Two […]

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Amazon Nova Act is now HIPAA eligible

Amazon Nova Act is now HIPAA eligible

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Healthcare and life sciences (HCLS) organizations depend on repetitive, manual browser-based tasks for critical workflows like claims processing and referral coordination. While agentic AI can automate these workflows, compliance requirements under the Health Insurance Portability and Accountability Act (HIPAA) have limited adoption where electronically protected health information (ePHI) might be present.Amazon Nova Act now qualifies as a HIPAA eligible service, so you can deploy autonomous, browser-based AI agents to automate complex healthcare workflows in connection with ePHI. In […]

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Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs

Cohere Releases Command A+: A 218B Sparse MoE Model for Agentic Workflows That Runs on as Few as Two H100 GPUs

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Cohere just released Command A+, as an open-source model targeting enterprise agentic workflows. Available under an Apache 2.0 license, Command A+ is a mixture-of-experts (MoE) model built for high-performance agentic tasks with minimal compute overhead. The model is optimized for reasoning, agentic workflows, RAG, multilingual, and multimodal document processing. It unifies capabilities from four prior models — Command A, Command A Reasoning, Command A Vision, and Command A Translate — into a single scalable model. Architecture Command A+ […]

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