@nrehiew_
eng primarily, ml mostly, research previously
AI
A user calculates the range assuming 97% cached input tokens and GPU rental costs of $3–$6 per hour.
AI
DeepSeek's README offers offline inference for DeepSeek-V4.1-Flash but lists additional systems needed for a complete service.
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PrimeIntellect says IPO is tailored for stability in asynchronous reinforcement learning.
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DeepSeek says the model is live on its website, app and API, and optimized for DeepSeekHarness and Tencent CodeBuddy.
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A user shared notes on Score Centering and predicted it would become part of the standard reinforcement-learning recipe.
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A user argues that trainer–sampler mismatch creates a drift term that can destabilize reinforcement-learning training.
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A user argues that publishing such blogs shows no respect for people interested in the company.
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A user flags HBM4 and the absence of super-long-context testing as caveats to Jalapeño–Blackwell comparisons.
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A ProximalHQ team member says they dynamically adjust the inference-trainer ratio to maintain training throughput and reduce staleness.
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CoreWeave says RL Rollouts updates live deployments during reinforcement-learning training without touching in-flight requests.
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OpenAI says it drew on an independent mathematics advisory group’s advice about how to release the results.
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The newcomer says they see open problems in data and post-training and invites people interested in large-scale infrastructure to reach out.
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Google announces a 1 million-token output limit, up from 64,000, for its new model. Initial access goes to trusted cyber defenders through the Fairwind Program.
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A user praises a team and congratulates Calvin Chen.
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Xiaomi says Pro performs on par with Claude Opus 5 and GPT-5.6 Sol across most agent benchmarks, with stronger coding, computer use and 3D reasoning capabilities.
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A user says the change came after they told Claude it could use Markdown and ASCII to explain things.
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The Wall Street Journal reports that an independent bug-hunting team accessed an OpenAI employee’s ChatGPT account, giving it a way to read and suggest changes to the company’s private software.
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Epoch AI labels nine of its initial 15 benchmarks “Flawed” and four “Verified,” with insufficient information to review two. A Terminal Bench contributor questions the audit’s rigor.
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In a September 16 update, the team behind MiMo-V2.6 said it was scaling compute, agent environments and grading, with plans to open-source details in stages.
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A user reports seeing medium/high reasoning settings mapped to 50 and argues that inference providers should follow the model’s intended mapping.