Cornell's AI Innovation Hub collaborated with the Treasury team to build an AI tool that recovered $100,000 from a backlog of unidentified payments. The tool uses historical matching, AI-powered vendor research, and synthesis to reduce manual investigation from hours to minutes.

The article discusses how AI transformation exposes underlying system issues. DX's study shows median PR velocity uplift of 7.5%, but top performers achieve 70% due to system design. Engineers spend only 16% of time coding; AI only affects that 16%. Historical and modern research show that the system (modular code, fast CI, good docs) determines productivity. Leaders should focus on value stream mapping rather than optimizing individuals.

Epic Games CEO Tim Sweeney criticizes Valve's requirement for developers to disclose AI use on Steam, calling it 'irresponsible' and harmful to small developers. He argues AI boosts productivity and should not be stigmatized, while the article author supports Valve's disclosure system.

CartAI is a specialized checkout API for AI agents that automates transactions across any web property. It provides a single primitive to navigate sites and complete purchases, subscriptions, invoices, and more. Features include composable workflows, PCI-compliant payments, cooperative bot-mitigation, and both API and hosted cart integration. Proven on production merchant surfaces like BestBuy and Newegg.

Ziff Davis publications (Mashable, CNET, ZDNET, PCMag, Lifehacker, Popular Science) share aggregate data on the most purchased Prime Day deals, including Garmin watches, Apple tech, Amazon devices, Bose headphones, and more.

The article examines whether AI company valuations are justified, using historical bubble analogies and proposing three clocks: cost decline speed, funding endurance, and real external demand. The author leans bearish but watches these indicators.

The alleged distillation suggests that enterprises should conduct due diligence into how AI labs handle their data.

In this technical collaboration between AWS and the authors, we present a pragmatic solution: agentic overlays. Agentic overlays are thin wrapper layers that transform traditional REST-based services into agents capable of participating in A2A interactions. They also expose REST APIs as tools compatible with the Model Context Protocol (MCP). Together, they let enterprises add A2A capabilities to existing REST services without rewriting business logic, without duplicating code, and without running parallel infrastructures. This reduces agent sprawl in the infrastructure by reusing existing services as agents. We provide reference architectures and sample code that show how to build agentic overlays.

Codeplain advocates for regenerating code from specifications rather than maintaining it. Their open-source spec language Plain serves as a single source of truth, and a new agentic framework plain-forge lets AI assistants draft specs interactively. The company has raised $3M and argues that specs, not code, should be the maintained asset.

New in LangSmith: a Fleet on-call copilot for alert triage, computer use for agents, voice trace debugging, and experiment status tracking. Plus Deep Agents Rubrics, programmatic subagents, a new LangSmith Deployment course, and upcoming events in Chicago, Berlin, DC, and Vegas.

Prem Natarajan left Amazon to become Capital One's Chief Scientist, applying deep AI research to solve real-world financial challenges at scale, from fraud detection to agentic customer service.

Data center company executives say AI can support energy transition goals while managing the technology’s growing power demands.

DeepReinforce released Ornith-1.0, an open-source coding model family built on Gemma 4 and Qwen 3.5. Instead of a fixed harness, the model learns its own scaffold during reinforcement learning. The 397B flagship reports 82.4 on SWE-Bench Verified, with all weights under the MIT license.

This article critiques the 'Ethical AI' movement, spearheaded by Anthropic, arguing that it rests on the unproven assumption that AI development is unstoppable but steerable. In reality, Ethical AI neither renews epistemic habits nor guides AI toward humane ends, but functions as controlled opposition for unethical AI. Through analyzing Jack Clark's world-building narrative, the author exposes the contradictions: claiming helplessness to slow AI while asserting power to control its consequences.

Meta reverses stance on forcing engineers into AI training task force, now allowing voluntary participation after employee backlash and morale concerns.

Artificial intelligence is reshaping retail behind the scenes, influencing search rankings, supply chains, and customer engagement. Macy's adopts an 'AI-first' philosophy, embedding intelligence into personalization, operations, and software development. The company's AI shopping assistant, Ask Macy's, exemplifies conversational commerce. AI is seen as an invisible layer augmenting human judgment, not replacing it.

The generative AI economy generated $110 billion in sales over the past 12 months, with an annualized run rate exceeding $175 billion. This bottom-up, deduplicated measure reveals that AI revenues are growing three times faster than mobile or internet waves, and can just cover hyperscaler depreciation expenses. Lower token prices drive 12-18% more usage per 10% price cut, sustaining total spending growth.

This article explores the context drift problem in long-running AI systems, distinguishing between LLM hallucination and architectural hallucination. It argues that current approaches like context windows and RAG fail to preserve memory integrity, and proposes structured memory with extraction guardrails as a solution.

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances.

This post demonstrates how to implement video upscaling using SeedVR2 on SageMaker AI. It covers solution architecture, deployment steps, and performance comparisons highlighting quality improvements and processing efficiency. By the end, you'll have practical knowledge to implement this super resolution solution.

In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics.

This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.

Ai2 compares its 7B transformer Olmo 3 and hybrid Olmo Hybrid, finding the hybrid excels on content words (nouns, verbs, adjectives) and tokens requiring context, but loses advantage on repeated tokens and closing brackets. Token-level loss filtering reveals architectural differences.

OpenKnowledge is an open-source, AI-native markdown editor and knowledge base that serves as an alternative to Obsidian or Notion. It offers a beautiful rich text editor with markdown under the hood, designed for both humans and AI agents. Features include collaborative editing, git-backed sync, agent-native skills, MCP integration for Claude, Cursor, and Codex, and a local-first, privacy-focused approach. The launch of v2.0 saw significant traction with 1.4k signups in 24 hours and hitting #1 on Product Hunt and front page of Hacker News.

Tabularis is an open-source desktop database client designed for both AI agents and human users. It features a built-in MCP server for AI agents to safely inspect schemas and run queries, while retaining powerful human-friendly tools like Monaco SQL editor, notebooks, visual query builder, and more. Supports PostgreSQL, MySQL, SQLite, and extensible via plugins. Local-first architecture ensures data security.

This tutorial covers three methods to create Google Sheets using Gemini: within the spreadsheet via built-in integration, through the Gemini web app with export, and by generating Google Apps Script for advanced automation. It also includes tips for better results.

Traditional pre-merge human code review cannot scale with AI-generated code. The shift is toward automated CI/CD gates that enforce policies consistently, with human review reserved for high-risk changes. A four-layer quality gate pipeline and post-merge review create a verifiable, auditable system of controls.

Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language.

Visualbuild.me's Automation Skill Builder is a local-first AI automation platform. Record workflows once with AI, then run them offline without any AI cost. Supports desktop, browser, API, OCR automation and exposes skills via MCP for integration with AI assistants like Cursor, Claude, and Copilot. Pricing from free to enterprise.

At H Company, GPU clusters showed VRAM held by ghost processes after job crashes. Investigation traced the issue to FUSE mounts used for S3 storage: the userspace daemon (rclone mount) was killed by OOM, but the kernel failed to abort the FUSE connection because a file descriptor was still held by the broker process (fusermount-server). This left training threads stuck in D-state holding CUDA contexts. A hotfix forced abort of FUSE connections, but a root cause fix requires addressing the fd leak.