Search “DeepSeek”

oads since its September launch, of which 10.2 million came from the United States, making it one of the mobile apps to surpass 10 million U.S. downloads within 40 days of launch. DeepSeek open-sourced its inference framework DeepInfer and disclosed that a single cluster serves a throughput of 155 trillion tokens per day, with revenue of $38 per card per hour. Anthropic launched Claude Duet, a personal agent based on Claude Opus 5.5, opening research preview waitlist applications to Claude Pro a

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.1 Pro (Max) ranks 11th in Arena's Agent Arena, achieving a +7.6% net improvement based on 4K+ real agent sessions, up 6 percentage points from Kimi K3 (Max)'s 25th place. Its median cost per task is $1.03, 13% lower than the previous version, ranking 8th, 9th, and 10th in the Work, Code, and Chat categories respectively. Arena stated that the model's open weights will be released soon, at which point it will become the top-ranked open-source model in Agent Arena, surpassing DeepSeek-v4.1-Flash.

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model. The course first builds a math answer verifier and evaluates on MATH-500, then implements temperature sampling, top-p filtering, and self-consistency, followed by RLVR training with a simplified version of GRPO, and finally distills a small model using answers generated by DeepSeek R1. The content accompanies his book "Build a Reasoning Model (From Scratch)"; the early text generation and evaluation examples can run on a CPU, while later training experiments are recommended to use a GPU.

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token consumption was about 500 trillion, nearly 4 times that of December 2025. In terms of performance, in August the average TPS of domestic models reached 78.23, doubling the 2025 average of 38.25, but the average TPS of typical foreign models was 112.82; the domestic first-token latency rose to 1.26 seconds. The report also compared four open-source models, DeepSeek, Qwen, GLM and Kimi, and found that the TPS gap for the same model across different platforms can be close to a factor of two.

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Entertainment Capital had Doubao, Kimi, DeepSeek, GPT, Qwen and Claude each write 5 episodes of a restaurant business-war short drama, 30 scripts in total. Claude was deemed to have the most "Shaoxin flavor," with dialogue rhythm and functional roles such as apprentices and disciples closest to existing Shaoxin short dramas. Doubao came second, more like a punchline generator, but three versions of its scripts never specified what the shop sells. Across the 30 scripts, "conscience" appeared in a

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s-5 (Max) at 70% lower cost; compared with Kimi K3 (Max)'s 17th place and 1655 points, it improves 9 places and 37 points. Kimi thus returns to the top 4 in the Code Arena: WebDev lab rankings. The model is priced at $2/$10 per million input/output tokens, with a median cost per task of $1.23, 29% lower than Kimi K3; the official announcement says open weights will be released soon, at which point it will become the top-ranked open-source model on the leaderboard, surpassing DeepSeek-v4.1-Flash.

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Kimi K3.1 Pro scores 64% on the Artificial Analysis Cyber Index, 7 points higher than the previous leader among openly available models, DeepSeek V4.1 Flash 1017 (57%), and 5 points lower than GPT-6 Sol (Daybreak Blue, max, 69%), which is available only through the OpenAI trusted access program. The index consists of three benchmarks: CWE-Bench-AA, DeepsecBench-AA, and CyberGym-E2E-AA. K3.1 Pro achieves 95% on CyberGym-E2E-AA, higher than GPT-6 Sol (Daybreak Blue)'s 93%. Its per-task cost is $2.

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36Kr sorted through the product moves of eight companies—Tencent, Alibaba, Baidu, ByteDance, and Moonshot AI, Zhipu, MiniMax, DeepSeek—across ten AI tracks over four years, finding that competition cycles have shortened, product lifecycles have grown shorter, and renaming, integration, and shutdowns have become the norm. Tencent QClaw went from public beta on March 20 to announcing service shutdown arrangements on September 24, just 188 days, with user data to be migrated to WorkBuddy; Alibaba's

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r solving robot AI, electromechanical design, reliability and lifespan issues by the end of next year, Optimus can be delivered to companies other than Tesla; Tesla will also build an Optimus Academy, planning to mass-produce 20,000 units for autonomous training. The domestic construction robot market reached 18.6 billion yuan in 2025 and is expected to exceed 80 billion yuan by 2030. DeepSeek is reported to have completed about 100 billion yuan in financing, with CATL and Tencent participating.

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erprises use restricted large models to provide external API calls, APP/webpage interaction, SaaS applications, and the like, this does not fall within the scope of large-model technology export management; open-source technologies and specific international businesses are eligible for facilitation measures such as automatic licensing. The article also mentions that two companies, DeepSeek and MiniMax, have completed registration procedures and finished open-sourcing and overseas authorized use.

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ificial Analysis released Coding Agent Index v2.0, with Claude Code paired with Claude Opus 5.5 (max) topping at 61.7 points, followed by Claude Sonnet 5.5 (max) at 59.3 points. The new version replaces DeepSWE with Cognition's FrontierCode v1.1; Opus 5.5 scores 56.0% on that benchmark, ahead of Codex paired with DeepSeek V4.1 Flash at 52.6%. SWE-Atlas-QnA-AA switched to GPT-6 Luna (xhigh) for judging, with five votes per item; the average score across 21 configurations fell from 58.8% to 57.1%.

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the newly released TorchNeuron, supporting LLM inference serving and RL rollout generation on Trainium2 and Trainium3. Initial coverage includes Qwen3 (dense), Qwen3-MoE-30B-A3B, DeepSeek-V2-Lite, GLM-4, and GLM-5.2/5.3, and supports data parallelism, tensor parallelism, expert parallelism, Radix Cache, BF16/FP8, and asynchronous scheduling. In the first end-to-end heterogeneous RL run, SGLang generated rollouts for Qwen3-MoE-30B-A3B on Trainium3, while Miles trained a GRPO policy with Megatron

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nal plugin, using a four-tier strategy: replacing destructive commands, pairing backup commands, generating snapshots, or calling the GPT-5.6-Luna sub-model to determine which data needs saving. In testing it covered all critical operations, with recovered data averaging 92.2% similarity to the original state, at an additional cost of $0.014 per task. BackUpper already supports Claude Code, Codex, Hermes, OpenHands, DeepSeek Harness, and OpenClaw, and its code and dataset have been open-sourced.

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ch's native training platform TorchTitan has released an update that adds full training-stack support for Muse Spark Open, Muse Glimmer, Qwen3-VL, Qwen3.5, Kimi K2.7, Kimi K3, and DeepSeek-V4, and introduces the reinforcement learning component TitanRL. TitanRL lets pretraining, post-training, and vLLM inference share the same model code, and supports asynchronous rollout as well as agent-task training such as long-context and code execution. On performance, FlexShard on 256 H100 GPUs reduces De

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d GPUs in fine-grained increments without full replicas or restarts, scaling from 20 GPUs to 24 GPUs in the example. max ep size reserves metadata and communication buffer capacity at startup, and new ranks start on demand; tested on 8×H100 with DeepSeek-V3-Lite FP8, the first completed request was 5.3×–8.2× faster than a restart. After a joining rank enters the Mooncake WORLD, automatic rollback is not currently supported, and a failure during finalization may require restarting the deployment.

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d Modal Dojo, a training library that provides tuned default recipes, modifiable parameters, and an out-of-the-box metrics observability dashboard, supporting models from 500 million to trillions of parameters. The library is built on open-source frameworks such as Miles and Slime, can load datasets from Hugging Face, and lets agents query run status, logs, and trajectories via a CLI. Axiom Bio says it has used it to launch training of DeepSeek V4.1 Flash with a 64k context, running on 64 B300s.

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tudio Token Plan Team Edition uses Credits as a unified billing unit. A single subscription provides access to more than ten text and image models, including Qwen3.7-Max, GLM-5.2, DeepSeek-V4-Pro, and Kimi-K2.6, and is compatible with both the OpenAI and Anthropic protocols. The plan comes in three tiers: Standard with 25,000 Credits, Advanced with 100,000 Credits, and Premium with 250,000 Credits. A dedicated API Key with the sk-sp- prefix can be generated only after seats are allocated. Access

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Models such as DeepSeek, GPT, and Qwen can already handle the collection, upscaling, translation, and typesetting of manga scanlation, but when they encounter explicit content or copyrighted content they refuse to translate outright, so a "human feedback" step is still needed to fill the gaps. The work of scanlation groups has therefore shifted to proofreading tone, handling puns and cultural references, adjusting for differences between Chinese and Japanese typesetting, and even drawing clothes

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