Anthropic and OpenAI are both launching joint ventures for enterprise AI services
Both Anthropic and OpenAI have partnered with asset managers to more aggressively market their enterprise AI products.
Source: TechCrunch AI
Top Stories
Agentopic: A Generative AI Agent Workflow for Explainable Topic Modeling
arXiv:2605.00833v1 Announce Type: new Abstract: Agentopic is a novel agent-based workflow for explainable topic modeling that leverages the reasoning capabilities of Large Language Models (LLMs). Existing topic modeling approaches such as Latent Dirichlet Allocation (LDA) and BERTopic often lack transparency on how topics are assigned or grouped. Agentopic addresses this by using multiple agents that collaboratively perform topic identification, validation, hierarchical grouping, and natural language explanation. This design enables users to trace the reasoning behind topic assignments, enhancing interpretability without sacrificing accuracy. When seeded with topics from the British Broadcasting Corporation (BBC) dataset, Agentopic achieves an F1-score of 0.95, matching GPT-4.1, improving on LDA (0.93), and close to BERTopic (0.98). We used Agentopic to augment the BBC dataset with generated explanations to improve the dataset's richness and context. The unseeded Agentopic generated 2045 semantically coherent topics organized across six hierarchical levels, vastly enriching the original five-category structure. By embedding explainability...
Fast Log-Domain Sinkhorn Optimal Transport with Warp-Level GPU Reductions
arXiv:2605.00837v1 Announce Type: new Abstract: Entropic regularized optimal transport (OT) via the Sinkhorn algorithm has become a fundamental tool in machine learning, yet existing implementations either suffer from numerical instability for small regularization parameters or incur significant overhead from deep learning frameworks. We present FastSinkhorn, a lightweight, native CUDA implementation of the log-domain Sinkhorn algorithm that combines warp-level shuffle reductions with shared-memory tiling to achieve high GPU utilization without sacrificing numerical stability. Our solver operates entirely in the log-domain, enabling robust computation for regularization parameters as small as epsilon = 10^{-4} where standard-domain methods fail. On dense OT problems with n = m = 8192, our implementation achieves 12x speedup over the widely-used POT library and 5.9x speedup over GPU-accelerated PyTorch baselines, while consuming only 256 MB of GPU memory. We validate our solver on image color transfer, 3D point cloud matching, and convergence analysis, demonstrating that native CUDA kernels...
OpenAI and PwC collaborate to reimagine the office of the CFO
OpenAI and PwC are partnering to help enterprises use AI agents to automate finance workflows, improve forecasting, strengthen controls, and modernize the CFO function.
Image AI models now drive app growth, beating chatbot upgrades
Appfigures finds visual model launches generate 6.5x more downloads — but most don’t convert that spike into revenue.
Claude Managed Agents: The Layer That Disappears, The Layer That Stays — A View from Business Automation Agents
On April 8, 2026, Anthropic released Claude Managed Agents. The official framing is "meta-harness," and the engineering blog reports infrastructure-level improvements: p50 TTFT down about 60%, p95 down more than 90%. TTFT is the time from request to first response, where p50 is the median and p95 covers the slowest 5%. Cut the median by 60%, cut the slow tail by 90%. These aren't numbers you get from a minor optimization — they're the kind of numbers an architectural change produces. Early adopters include Notion, Rakuten, Asana, Sentry, and Vibecode. https://www.anthropic.com/engineering/managed-agents There are already several Japanese articles covering this — terminology breakdowns by watany, builder/user harness classifications by Mr. Katayama (paiza), and trial reports by kumamo_tone and galirage, among others. https://zenn.dev/watany/articles/d8b692bbca65a3 https://note.com/rk611/n/n8424c56f4fa5 https://zenn.dev/kumamo_tone/articles/365845d65e6cf4 https://zenn.dev/galirage/articles/claude-managed-agents-quickstart But the existing discussion almost entirely assumes coding agents. Notion (coding, spreadsheets, slides), Sentry (bug → PR automation), Vibecode (code generation infrastructure) — they all line...
Quick Bytes
AgentReputation: A Decentralized Agentic AI Reputation Framework — arXiv AI (cs.AI)
GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI — arXiv ML (cs.LG)
Agentic API Grader by SaaStr.ai — Product Hunt