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Vibe coding with overeager AI: Lessons learned from treating Google AI Studio like a teammate

Most discussions about vibe coding usually position generative AI as a backup singer rather than the frontman: Helpful as a performer to jump-start ideas, sketch early code structures and explore new directions more quickly. Caution is often urged regarding its suitability for production systems where determinism, testability and operational reliability are non-negotiable.  However, my latest…

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Anthropic vs. The Pentagon: what enterprises should do

The relationship between one of Silicon Valley’s most lucrative and powerful AI model makers, Anthropic, and the U.S. government reached a breaking point on Friday, February 27, 2026. President Donald J. Trump and the White House posted on social media ordering all federal agencies to immediately cease using technology from Anthropic, the maker of the…

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Google’s Opal just quietly showed enterprise teams the new blueprint for building AI agents

For the past year, the enterprise AI community has been locked in a debate about how much freedom to give AI agents. Too little, and you get expensive workflow automation that barely justifies the “agent” label. Too much, and you get the kind of data-wiping disasters that plagued early adopters of tools like OpenClaw. This…

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OpenAI’s big investment from Amazon comes with something else: new ‘stateful’ architecture for enterprise agents

The landscape of enterprise artificial intelligence shifted fundamentally today as OpenAI announced $110 billion in new funding from three of tech’s largest firms: $30 billion from SoftBank, $30 billion from Nvidia, and $50 billion from Amazon. But while the former two players are providing money, OpenAI is going further with Amazon in a new direction,…

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Enterprise MCP adoption is outpacing security controls

AI agents now carry more access and more connections to enterprise systems than any other software in the environment. That makes them a bigger attack surface than anything security teams have had to govern before, and the industry doesn’t yet have a framework for it. “If that attack vector gets utilized, it can result in…

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Jack Dorsey’s Block cuts 40% of staff, 4,000+ people — and yes, it’s because of AI efficiencies

Former Twitter co-founder Jack Dorsey’s new company Block — the parent of merchants payment system Square, mobile peer-to-peer payments Cash App, music streamer Tidal, and open source AI orchestration system Goose — is sending shockwaves across the business world tonight after announcing a more than 40% headcount, cutting its workforce by more than 4,000 people…

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Microsoft’s new AI training method eliminates bloated system prompts without sacrificing model performance

In building LLM applications, enterprises often have to create very long system prompts to adjust the model’s behavior for their applications. These prompts contain company knowledge, preferences, and application-specific instructions. At enterprise scale, these contexts can push inference latency past acceptable thresholds and drive per-query costs up significantly.  On-Policy Context Distillation (OPCD), a new training…

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8 billion tokens a day forced AT&T to rethink AI orchestration — and cut costs by 90%

When your average daily token usage is 8 billion a day, you have a massive scale problem. This was the case at AT&T, and chief data officer Andy Markus and his team recognized that it simply wasn’t feasible (or economical) to push everything through large reasoning models. So, when building out an internal Ask AT&T…

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Google’s Nano Banana 2 takes aim at the production cost problem that’s kept AI image gen out of enterprise workflows

For the last six months, enterprises wanting to deploy high quality AI image generation at scale have faced an uncomfortable trade-off: pay premium prices for Google’s Nano Banana Pro model, or settle for cheaper (sometimes free), faster, but noticeably inferior alternatives — especially in terms of enterprise requirements like embedded accurate text, slides, diagrams, and…

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Claude didn’t just plan an attack on Mexico’s government. It executed one for a month — across four domains your security stack can’t see.

Attackers jailbroke Anthropic’s Claude and ran it against multiple Mexican government agencies for approximately a month. They stole 150 GB of data from Mexico’s federal tax authority, the national electoral institute, four state governments, Mexico City’s civil registry, and Monterrey’s water utility, Bloomberg reported. The haul included documents related to 195 million taxpayer records, voter…

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