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MiniMax teases upcoming M3 model with new sparse attention mechanism and 15.6X long-context response speed boost

Among the many Chinese AI companies and laboratories vying for market share and attention (no pun intended) on the global marketplace, MiniMax stands out for its commitment to providing frontier-level intelligence across a range of modalities, including text, coding, and video (through its Hailuo model series) — often under permissive, enterprise-friendly, standard open source licenses….

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Merck and Mastercard are seeing real agentic AI results. Both say the plumbing came first.

Merck is using AI agents to cut drug discovery cycles by a third and ship compliant marketing materials up to 80% faster — but VP of Digital Platforms Sean Finnerty says the only reason it’s working is because they built the infrastructure first. And the pharmaceutical manufacturer is seeing promising early results: AI is generating…

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DataGrail report finds your vendor may be sending data to AI models you never approved

The data processing agreement (DPA) — the bedrock contract companies use to evaluate how vendors handle personal data — can no longer be trusted at face value. That is the central, and arguably most alarming, conclusion of DataGrail’s Privacy and AI Trends Report 2026, released today. The San Francisco-based privacy platform analyzed 2,400 popular business…

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DeepSWE blows up the AI coding leaderboard, crowns GPT-5.5, and finds Claude Opus exploiting a benchmark loophole

For months, the leading AI coding benchmarks have told enterprise buyers a comforting but misleading story: the top models are all roughly the same. OpenAI’s GPT-5 family, Anthropic’s Claude Opus, and Google’s Gemini Pro have clustered within a narrow band on Scale AI’s SWE-Bench Pro leaderboard, making it nearly impossible for engineering leaders to determine…

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The attack dominating financial services doesn’t steal passwords. It resets MFA and steals the token.

The attacker who hit the most financial services organizations over the past 12 months never phished a password. They called an IT support line, convinced an employee to reset their MFA, and registered their own device on the network. CrowdStrike’s 2026 Financial Services Threat Landscape Report, released this month and covering activity from April 2025…

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Why prompt debt, retrieval debt, and evaluation debt are quietly reshaping enterprise AI risk

Over the past two decades, technical debt meant outdated architecture, messy code, and poorly maintained documentation. That definition is no longer sufficient in the AI era, where failure modes are more subtle and often non-linear. AI systems are introducing new layers of technical debt that live across prompts, models, and data dependencies — making these…

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AI agents are quietly generating chaos engineering failures enterprises don’t track yet

There is a category of production incident that engineering teams are not tracking yet — because it doesn’t fit any existing postmortem template. The agent initiated an action. The action was technically correct given the agent’s context. The context was incomplete. The infrastructure cascaded. And, by the time the incident review happened, three teams were…

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Valid certificates, stolen accounts: how attackers broke npm’s last trust signal

On May 19, 633 malicious npm package versions passed Sigstore provenance verification. They were cleared by the system because the attacker had generated valid signing certificates from a compromised maintainer account. Sigstore worked exactly as designed: it verified the package was built in a CI environment, confirmed a valid certificate was issued, and recorded everything…

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Your AI agents need a terminal, not just a vector database

When agentic workflows fail, developers often assume the problem lies in the underlying model’s reasoning abilities. In reality, the limited information provided by the retrieval interface is often the primary limiting factor. Researchers at multiple universities propose a technique called direct corpus interaction (DCI) that lets agents bypass embedding models entirely, searching raw corpora directly…

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D&B’s database of 642 million businesses was built for humans, not AI agents. So they rebuilt it.

Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and risk profiles, was designed for people. Credit analysts, risk managers and sales professionals who could wait for query results and work through ambiguous entity matches. AI agents cannot do…

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