ElevenLabs 推出了支持 90 种语言的 v4 语音模型,10 秒就能克隆声音,还优化了情绪表达和响应速度。
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小米把大模型负责人提到了公司最高职级,同天开源的 MiMo-V2.6-Pro 在 AA 指数上还压过了 Kimi K3 和 GLM-5.3,开源圈又多一个能打的选手。
乔治·霍茨创立的 Comma.ai 出事了,它的后装智驾设备 openpilot 涉 5 起事故 3 人死亡,NHTSA 已立案调查,开副厂辅助驾驶的值得看看。
Permanently quadrupling the credit signals that DeepSeek's flash-tier economics are now viable for third-party platforms to subsidise, a shift in how cheap frontier-adjacent inference has become. Developers comparing coding-assistant plans can treat this as a direct price benchmark against comparable Claude or GPT flash-tier offerings. DeepSeek's official partnership with OpenCode also shows Chinese labs distributing through agentic coding tools rather than APIs alone.
The non-obvious detail is the self-test-and-fix loop: rather than stopping after generating code, Step 5 Preview verified the game actually ran, which is what separates deliverable output from demo code. Builders choosing between Chinese flagship models for agentic coding work can use this hands-on comparison as a practical reference, since the three models faced the same unconstrained prompt and had to pick their own architecture and project structure.
Benchmark scores can hide whether a model survives long, multi-step builds, so the value here is watching Step 5 Preview handle mechanical synchronisation and real tooling rather than canned puzzles. Developers choosing between Step 5, GLM-5.3, Kimi K3 and Claude Opus 5 get a practical cost-versus-reliability comparison for agentic coding workflows. The stated price gap makes it a concrete candidate for teams in Southeast Asia and beyond cutting per-task inference spend.
小米把 MiMo-V2.6 权重全开源了,Pro 在 AA 指数拿 46 分压过 Kimi K3,价格只有海外模型的 1/20。
This matters for developers and researchers working with large-scale text data, as it significantly reduces memory requirements for long-form processing.
This is the first open-weights AI model specifically designed for Southeast Asia's diverse languages, offering a new option for regional developers.
This shows how AI can optimize game performance on older hardware, potentially making more games playable on mid-range devices.
For those interested in the future of AI development, Liu Shengyu's perspective offers a rare and candid look at the challenges and motivations of a leading engineer working on a major model.
This is a significant development in AI infrastructure, showing how companies are optimizing LLM performance and costs.
For users who rely on AI coding assistants, WorkBuddy offers a more cost-effective alternative to Codex, especially with models like GLM-5.3-flash that reduce costs by up to 90%.
This is a pricing change for DeepSeek's API that will affect developers using the V4-Pro model, as it will now be charged at the lower Flash rate until a new version is released.
This system is a significant advancement in China's domestic AI hardware, offering a more cost-effective alternative to traditional GPU-only setups for large model inference.
This is a major upgrade for the DeepSeek model, showing significant progress in its architecture and scale.
This matters to users because DeepSeek is keeping its older, more affordable model available for another month, allowing them to continue using it without a price increase.
For users looking for a more affordable and efficient large language model, DeepSeek V4.1 Flash offers a clear upgrade path from the V4 Pro model.
DeepSeek 新模型比 OpenAI 和 Z.AI 便宜,性能还更好,值得看看。
For users interested in high-performance AI chips, this shows a new hardware platform supporting a specific model, which could be relevant for those looking at alternatives to existing solutions.
DeepSeek 新出的 V4.1 Flash 模型,用不对称 MoE 架构,参数量 552B,但只用了 8B 活跃参数处理输入、16B 处理输出,比上一代节省了 3/4 的存储,算力效率更高,还支持多模态,价格也便宜,适合需要高效推理的场景。
DeepSeek 新发布的 V4.1 Flash 模型,推理速度更快,价格也降了 60%,比之前的 V4 Pro 强很多。
DeepSeek 新出的 V4.1 Flash 模型,性能不错,和 GLM-5.3 差不多,关键是内存消耗特别低,适合做 agentic 任务,价格也便宜很多。
This matters because it offers a cheaper alternative for building AI agents, with a quarter of the memory needs of its predecessor.
This matters because it's a new, more efficient 552B model from DeepSeek that reduces hardware requirements and costs, making it more accessible for developers and businesses.
DeepSeek 新出的 V4.1-Flash 版本,专门为了降低 AI 代理的成本,用起来更便宜了。
DeepSeek's new V4.1 Flash model is now available, replacing the V4 Pro version. The pricing for the new model started on September 10, and the transition to Flash is scheduled for September 14.
Cost-effective for developers needing multimodal capabilities, with lower input activation costs than comparable models.
The update improves long conversation performance and introduces experimental Agent Teams feature for task management, making it more competitive than similar tools.
DeepSeek今天发布了V4.1 Flash模型,价格更便宜性能更好,V4 Pro下线时间推迟到9月14日。
DeepSeek 合并三种模式,V4.1 Flash 比前代更快更便宜,自动切换更方便。
DeepSeek 要上市了,估值5000亿,还即将发布新模型V4.1 Flash,比前代更强。
Priced like V4 Flash but with native multimodal support, this limited beta offers developers a chance to test DeepSeek's new architecture before September 10.
DeepSeek 即将发布 V4.1 Flash,性能全面超越 V4 Pro,价格更优,速度更快。
Available free on Ling Studio with BF16 and FP8 versions on Hugging Face and ModelScope, offering superior multimodal capabilities for developers in the region.
DeepSeek明天起降价Flash系列模型,输出价格降至每百万Token4元,输入缓存命中价格降0.03元,降幅最大达60%。
DeepSeek 推出了 V4.1 Flash 中间版本,新结构带来更强性能和更低成本,看看能否替代现有 V4 Pro。
西班牙公司推出欧洲最强AI模型Quasar 438B,1M词元上下文,比Mistral Medium 3.5得分高13。