
A three-month field experiment with 133 patent attorneys shows that AI boosts immediate performance, with junior lawyers gaining the most. But when the AI is taken away, only senior attorneys retain the benefits, suggesting that baseline expertise is a prerequisite for turning AI-assisted practice into lasting skill. The article AI makes junior patent attorneys instantly better but may quietly stunt their professional growth appeared first on The Decoder.
A field experiment with patent attorneys found that AI assistance dramatically improved the immediate work quality of junior lawyers but offered no lasting benefit once the AI was removed. Senior attorneys, by contrast, retained their performance gains after AI assistance ended, suggesting they used the tool to enhance existing expertise rather than replace skill development. The study raises concerns about a broader pattern where AI narrows performance gaps in the short term while potentially stunting long-term professional growth, particularly for early-career workers who may use AI as a substitute for building foundational judgment rather than as a tool to strengthen it. Similar patterns have appeared in software development, essay writing, and management consulting, pointing to a tension between immediate productivity gains and the sustained expertise required for high-stakes professional judgment.
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OpenAI and Google Cloud are bringing frontier models and Codex workflows to Gemini’s Model Garden, available through Google Cloud Marketplace.
Also reported by Ars Technica, The Decoder and SiliconANGLE

In this article, we will discuss newly trending open sourced Anthropic’s sandbox-runtime (srt), the OS-level sandbox behind Claude Code’s sandboxed bash tool. The Anthropic sandbox-runtime limits which files a process can touch and which hosts it can reach. It does this without spinning up a container. It is also not tied to Claude Code. Your own agents, local MCP servers and plain command-line programs can run inside it. TL;DR Size: npm package @anthropic-ai/sandbox-runtime

Claude Duet is available through waitlist for Pro and Max plan users
Also reported by The Verge and SiliconANGLE

Only 13 percent of companies are getting real business value from their AI investments, according to a Gartner survey of 2,002 CIOs. At the same time, 51 percent expect AI to actually increase their operating costs. Yet 75 percent of CEOs plan to keep raising their technology budgets. So far, strategic conviction is beating measurable results. The article Only 13 percent of companies see real returns from AI, Gartner survey finds appeared first on The Decoder.

Customers are letting AI agents use their credentials to access accounts at Morgan Stanley, JPMorgan, and other major U.S. banks, sometimes without direct instructions. Morgan Stanley has blocked agents, while other banks are restricting access. Most plan to limit agents to read-only access. The article Major US banks are locking out AI agents that log in with customer credentials appeared first on The Decoder.

Anthropic had Claude generate mathematical proofs that existing code is correct, producing roughly 180 million lines of proof code for 123 open-source libraries. Along the way, the model caught bugs that years of testing had missed. Anthropic's goal: making formal verification with AI as routine as standard testing. The article Anthropic's Claude now writes code and proves it safe automatically appeared first on The Decoder.