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Microsoft on Monday unveiled the Surface RTX Spark Dev Box, a compact desktop computer designed to let software developers run large AI models on their desks instead of paying for cloud computing — a move that directly challenges the per-token pricing model that has defined the AI industry’s economics since ChatGPT launched three and a …

Microsoft debuts Surface RTX Spark Dev Box to run large AI models without cloud costs Read More »

Agentic AI is moving rapidly from the developer terminal to the corporate world. On Tuesday, OpenAI announced a major update of its agentic AI platform Codex, introducing domain-specific workflows, a rapid, semi-private web hosting feature within it for enterprises called “Sites,” and an in-place editing tool named “Annotations”. The release marks a deliberate strategy to …

OpenAI’s Codex update lets agents build interactive enterprise workspaces via Sites and role-specific plugins Read More »

Presented by Design.com Something significant is happening in how people build businesses. There are currently 29.8 million solopreneurs contributing $1.7 trillion to the U.S. economy, and over 80% of all U.S. small businesses now operate with no employees. In 2024 alone, entrepreneurs filed 5.2 million new business applications — and LinkedIn reported a 69% jump …

The design bottleneck for solo founders? AI has solved it. Read More »

Enterprise AI agents have a new production failure mode, and it is not the model. As enterprises move from single-layer RAG to hybrid retrieval architectures, the same underlying data produces different answers depending on which agent, tool or system asks the question. Revenue means one thing in a business intelligence (BI) dashboard, something slightly different …

AI agents keep giving confident wrong answers. The context layer is enterprise AI’s next production problem. Read More »

Zip, the AI procurement platform valued at $2.2 billion, announced two products on Monday that mark a turning point in its evolution from procurement software to autonomous AI platform: a suite of five AI “Superagents” that can review contracts, code invoices, and negotiate with vendors inside Zip’s governance framework, and a procurement-native implementation of the …

Zip’s new AI agents want to stop your finance team from uploading contracts into personal ChatGPT accounts Read More »

Across the frontier labs, the highest prompt injection figures published this spring are Anthropic’s. Point a red-teamer at its newest model in a browser, and the attacker hijacked it 31.5% of the time before safeguards engaged. OpenAI, Google, and Meta never gave security leaders a comparable number to set beside it. That figure looks like …

Anthropic’s browser agent got hijacked 31.5% of the time before safeguards engaged Read More »

Big news in enterprise AI broke over the weekend as Chinese AI startup MiniMax released its highly anticipated M3 large language model on Sunday evening Eastern time, pairing frontier-tier coding and agentic performance with a 1-million-token context window and native multimodality for a fraction of the cost of leading proprietary models, with pricing starting at …

MiniMax-M3 debuts, eclipsing GPT-5.5 and Gemini 3.1 Pro on key benchmark performance for just 5-10% of the cost Read More »

Presented by Snowflake Too often, the history of enterprise security has been a history of making things harder to use. A new threat emerges, a new control gets bolted on, and somewhere in the process, people start working around the very systems designed to protect them. Over the course of my career, I’ve seen firsthand …

AI doesn’t break security. Complexity does Read More »

In 2024, researchers from the University of Illinois found that GPT-4, when provided with a common vulnerabilities and exposures (CVE) description, could autonomously exploit 87% of a curated 15-vulnerability one-day dataset. Without the description, it could only exploit 7%. This provided a “margin of safety” for the industry because while AI could exploit known vulnerabilities, …

Claude Mythos exposed a hard truth: Your enterprise patching process is way too slow Read More »

Enterprise AI agents are stalling — not because of model performance, but because of permissioning. Every agentic workflow eventually hits the same wall: what is this agent allowed to touch, on whose behalf, and how does the system know? Workday’s answer is to make its existing system of record the governance layer for agents. Gerrit …

The AI agent bottleneck isn’t model performance — it’s permissions Read More »