Day: February 27, 2026

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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