Google DeepMind’s AI model leading the pack in hurricane forecasting - Yahoo
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How to Switch Industries Without Starting Over
You have spent years building expertise in one industry. You know the terminology, the workflows, the unwritten rules. And now you want out. Maybe your industry is shrinking. Maybe you have hit a ceiling. Maybe you just woke up one morning and realized you cannot do this for another twenty years. Whatever the reason, you are staring at the same terrifying question every industry switcher faces: do I have to start over? The short answer: no. Not even close. The longer answer is more nuanced, and it is what this entire guide is about. Because switching industries is not about abandoning everything you have built. It is about translating what you already know into a language your new industry understands. The Numbers Behind Industry Switching Industry switching is not the risky career move it
Why We Ditched Bedrock Agents for Nova Pro and Built a Custom Orchestrator
We're building a healthcare prior authorization platform. If you've never dealt with prior auths, congratulations, you've been spared one of the most soul-crushing workflows in American healthcare. Our platform tries to make it less painful. One of our core features is an AI assistant that helps clinical staff review denial cases, check patient eligibility, and generate appeal letters. We wanted to use Amazon Nova Pro as the foundation model for this particular feature. The reasoning was simple: it's AWS's own model. AWS removes most calls-per-minute limitations on their own models, so you're not fighting throttling issues or provisioned throughput caps. With third-party models on Bedrock you can run into rate limits that require you to request increases or provision dedicated capacity. No
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Alibaba s Qwen team makes AI models think deeper with new algorithm
Reinforcement learning hits a wall with reasoning models because every token gets the same reward. A new algorithm from Alibaba's Qwen team fixes this by weighting each step based on how much it shapes what comes next, doubling the length of thought processes in the process. The article Alibaba s Qwen team makes AI models think deeper with new algorithm appeared first on The Decoder .
Я создал AI бота за выходные и сэкономил 40 часов в месяц
23:47, пятница, 14 марта. Я только что закрыл invoice на $340 за копипаст данных из 23 писем в таблицу. 6 часов 20 минут по таймеру в Toggl. Это был момент, когда я осознал: я трачу 25+ часов в месяц на работу, от которой меня тошнит и которая не приносит дополнительного дохода. К концу выходных у меня был бот, который делал это за 4 минуты . Почему 25 часов копипаста уничтожают меня Такое чувство, что я застрял в рутине. Каждый раз, когда открываю Gmail и вижу 23 новых письма от клиента, мой мозг начинает страдать. Зачем я трачу 6 часов каждую неделю на копипаст? Это работа, от которой я не получаю ни удовольствия, ни денег. Проблема в том, что я даже не задумывался об автоматизации. Я просто привык к этой рутине и принимал её как данность. Но когда увидел цифру в Toggl, то понял, как мно
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