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7 of 18 open roles were posted in the last 30 days.
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Snowflake launches Cortex AI Gateway to control AI agents and prevent runaway enterprise costs
Snowflake announced Cortex AI Gateway on Tuesday, a centralized control layer designed to govern how AI agents — including those built by competitors like Anthropic's Claude Code and Cursor — access enterprise data, tools, and models. Alongside the gateway, the company unveiled a first wave of security integrations with 1Password, Aembit, Linx Security, SailPoint, and Saviynt, an unusual lineup of identity vendors who often compete with one another, now aligned around a shared trust model for autonomous agents.The announcement, made from the company's no-headquarters base in Bozeman, Montana, is Snowflake's most aggressive move yet to position itself not merely as the place where enterprise data lives, but as the control plane that decides what AI agents are allowed to do with it."The next era of AI won't be built through more walled gardens. It will be built through secure agent interoperability," Mayank Upadhyay, Snowflake's chief security and trust
Enterprises lost Claude Fable 5 for a few weeks. New data shows two-thirds had already built their hedge
Two-thirds of enterprises have hedged their AI model strategy, and the past few weeks of controversy around Anthropic’s Claude Fable 5 model showed why that posture has gone mainstream. On June 12, a U.S. export-control order pulled Anthropic's Claude Fable 5 — the most capable model on the market — offline for every customer, with no warning and no timeline. It returned this week wrapped in tighter safeguards, after China's Z.ai released its open-weights GLM-5.2 into the vacuum. New VentureBeat Pulse Research, which surveyed 145 enterprises across these last few weeks, shows that two-thirds had already hedged their model strategy before the order came down: 51% blend closed frontier models with open-weight models deployed on their own infrastructure, and another 16% are moving core workflows off closed APIs entirely. The remaining third was all-in on closed ecosystems when the lights went out.The blackout put a spotlight on vendor dependency, by showing what happens when the
Coach vs mentor – Who can help you level up your career?
Most of us appreciate the usefulness of impartial career advice and understand the value of an external advisor when it comes to our professional lives. However, advisory support comes in different flavours, and different professionals require different kinds of support. There is no ‘one-size-fits-all’ solution that meets every individual’s development needs. Additionally, the terms we use to describe advisory relationships are often conflated, making it hard for advice-seekers to articulate what they’re looking for and for advisors to understand what’s needed of them. Two of the most commonly confused ideas are coaching and mentoring. While often used interchangeably, these represent fundamentally different approaches to professional support. So what are they and how do they shape the journey of an entrepreneur? What is a coach? Originating from the Hungarian town of Kocs (where horse-drawn carriages were first used to transport passengers), the word “coach” began being used as a slan
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 layers less visible, harder to measure, and often more dangerous than traditional debt.A crisis hiding in plain sightThe complexities of AI systems and their associated failures have been well documented. A 2025 MIT study found that 95% of AI projects fail to reach production or deliver value. A similar study by S&P Global Market Intelligence found that 42% of businesses scrapped multiple AI initiatives in 2025 — a sharp increase from 17% the previous year. Various reasons are cited for these failures, but most of them point to poorly designed and implemented systems that are complex to manage and have multiple hard-to-monitor f
OpenAI co-founder Andrej Karpathy announces he's joining Anthropic
Andrej Karpathy, the influential 39-year-old Slovak-Canadian AI researcher and one of the original 11 co-founders of OpenAI, and former head of Tesla's AI division, announced on Tuesday, May 19 that he's joining rival lab Anthropic.As Karpathy posted from his account on the social network X: "Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time."Anthropic's current Head of Pretraining, Nicholas Joseph, also a former OpenAI alumnus, added more context to Karpathy's new role at Anthropic in a post of his own on X, writing: "Excited to welcome Andrej to the Pretraining team! He'll be building a team focused on using Claude to accelerate pretraining research itself. I can’t think of anyone better suited to do it — looking forward to
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