What are the resident doctors' pay demands?
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There is a lot of energy right now around sandboxing untrusted code. AI agents generating and executing code, multi-tenant platforms running customer scripts, RL training pipelines evaluating model outputs—basically, you have code you did not write, and you need to run it without letting it compromise the host, other tenants, or itself in unexpected ways.
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
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«Стакан апельсинового фреша 250 мл это 100–130 ккал. Облепиховый напиток с медом 300–400 миллиграмм это 150–250 килокалорий. Смузи из банана, ягод, йогурта и меда это 200–350 килокалорий. Модный боул с фруктами, гранолой, орехами и медом легко тянет на 400–700 килокалорий. И все это поверх обычной еды, а не вместо», — сказал эксперт.。搜狗输入法2026对此有专业解读
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