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OpenAI 8 years ago 40
Researchers developed Reptile, a meta-learning algorithm that samples tasks, applies stochastic gradient descent to each, and updates initial parameters based on the learned results. Reptile achieves computational efficiency comparable to first-order MAML while requiring only black-box optimizer access. The algorithm enables faster adaptation to new tasks by learning better initialization points across multiple learning episodes.
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TLDRocket
29 October 2026
AI’s central storyline today is the same one investors keep testing in the numbers: hyperscalers are spending to expand capacity faster than demand for AI services can fill it, and the bills are showing up before the margins do. Microsoft delivered strong Azure growth while pushing capex expectations to about $170 billion for calendar-year 2026, including more than $50 billion in the current quarter. The company also posted quarterly profit of over $36.6 billion and sweetened the deal for cost discipline, offering voluntary buyouts to around 60,000 workers after earlier layoffs of more than a quarter of its workforce. The message is clear: scale the AI backend now, worry about profitability later.
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