{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-28T06:20:51.496Z","headline":"Reactor 发布 Open Dreamer：JAX/Flax 复现 Dreamer 4 世界模型管线","description":"Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。该实现包含一个基于 Transformer 的因果视频分词器（约 100 倍压缩）和一个 1.6B 参数的动态模型，并提供了 Minecraft 实时生成演示。","url":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/","mainEntityOfPage":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/","datePublished":"2026-07-25T18:59:54.000Z","dateModified":"2026-07-25T18:59:54.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.marktechpost.com/2026/07/25/meet-open-dreamer-a-jax-flax-reproduction-of-the-dreamer-4-world-model-pipeline-with-the-full-training-recipe-published","https://aihot.virxact.com/items/cms0rgb01007vrovabybpkqli"],"canonicalUrl":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。 Aioga 将其归入「产品更新」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/","dateCreated":"2026-07-25T18:59:54.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"marktechpost.com source article","url":"https://www.marktechpost.com/2026/07/25/meet-open-dreamer-a-jax-flax-reproduction-of-the-dreamer-4-world-model-pipeline-with-the-full-training-recipe-published","datePublished":"2026-07-25T18:59:54.000Z","provider":{"@type":"Organization","name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/25/meet-open-dreamer-a-jax-flax-reproduction-of-the-dreamer-4-world-model-pipeline-with-the-full-training-recipe-published"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cms0rgb01007vrovabybpkqli","datePublished":"2026-07-25T18:59:54.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cms0rgb01007vrovabybpkqli"}}],"aggregationSource":"MarkTechPost（RSS）","originalPublisher":{"name":"marktechpost.com","url":"https://www.marktechpost.com/2026/07/25/meet-open-dreamer-a-jax-flax-reproduction-of-the-dreamer-4-world-model-pipeline-with-the-full-training-recipe-published"},"article":{"id":"cms0rgb01007vrovabybpkqli","slug":"cms0rgb01007vrovabybpkqli","url":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/","title":"Reactor 发布 Open Dreamer：JAX/Flax 复现 Dreamer 4 世界模型管线","title_en":"Meet Open Dreamer： A JAX/Flax Reproduction of the Dreamer 4 World Model Pipeline， With the Full Training Recipe Published","summary":"Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。该实现包含一个基于 Transformer 的因果视频分词器（约 100 倍压缩）和一个 1.6B 参数的动态模型，并提供了 Minecraft 实时生成演示。","source":"MarkTechPost（RSS）","sourceUrl":"https://www.marktechpost.com/2026/07/25/meet-open-dreamer-a-jax-flax-reproduction-of-the-dreamer-4-world-model-pipeline-with-the-full-training-recipe-published","aiHotUrl":"https://aihot.virxact.com/items/cms0rgb01007vrovabybpkqli","publishedAt":"2026-07-25T18:59:54.000Z","category":"产品更新","score":40,"selected":false,"articleBody":["A small group of AI researchers (Reactor) have released Open Dreamer：https://next-state.github.io/open-dreamer/, an open implementation of the Dreamer 4：https://danijar.com/project/dreamer4/ world-model pipeline written in JAX and Flax NNX.","Two repositories were released. next-state/open-dreamer：https://github.com/next-state/open-dreamer holds the training pipeline: a causal video tokenizer, an action-conditioned latent dynamics model, rollout generation, and FVD scoring. reactor-team/open-dreamer：https://github.com/reactor-team/open-dreamer holds a minimal local rollout harness that generates frames from an MP4 and a matching action file.","A third artifact is the browser demo hosted on the Reactor runtime. It streams a generated Minecraft world in real time and exposes a Game ⟷ Dream toggle that hands the stream from the real game to the world model frame by frame.","The stated objective was to reproduce the Dreamer 4 research：https://arxiv.org/abs/2509.24527. The research team deliberately avoided methods outside that research paper to keep the search space narrow. They started on CoinRun, a procedurally generated 2D platformer trainable on a single GPU, then scaled the working pipeline to Minecraft/VPT-style gameplay video.","Both the tokenizer and the dynamics model use the same block-causal transformer backbone. That backbone alternates two attention types. Space layers propagate information among the elements of a single frame. Causal time layers propagate information between frames.","The tokenizer is a transformer-based Masked Autoencoder rather than a VAE. The team reports roughly 100× compression and notes the design needs no KL or adversarial loss. Masking, they argue, makes the latent space more diffusible.","The dynamics model performs next-frame prediction and is trained with diffusion forcing, flow matching, and shortcut models. It also predicts the next action. Rather than alternating between a separate transition module and policy, the rollout is folded into per-timestep blocks of (previous action, state, policy). Spatial attention runs inside each block; causal temporal attention connects blocks across time.","Critically, world-model tokens cannot read the agent token. Task and policy information can therefore influence future states only through the next action.","The shipped Minecraft configs make the recipe concrete.","The dynamics model is 1.6B parameters: 30 block-causal layers, d_model 1920, 30 attention heads, and 3 KV heads for grouped-query attention. Every fourth layer is a time-attention layer. Each timestep carries 32 learned register tokens, and packing_factor: 2 packs neighbouring tokenizer latents into each dynamics spatial token. Time attention uses a 192-step sliding window.","Training runs for 200,000 steps with Muon, a WSD schedule, and a peak learning rate of 3e-4. Shortcut/bootstrap samples switch on at step 100,000 at a 0.25 batch fraction. EMA decay is 0.999.","The tokenizer config emits 512 latent tokens per frame at a bottleneck width of 16. Raw 360×640 frames are padded to 368×640 so both dimensions divide into 16×16 patches. Encoder depth is 12 at d_model 1536; decoder depth is 8 at d_model 1024. MAE masking probability tops out at 0.9, and LPIPS is applied at weight 0.2 on half the timesteps.","VPT actions are parsed into 27 binary action channels plus 121 categorical mouse classes, with no continuous channels.","The research team reports 57–58% model FLOPs utilization, against a stated 60% benchmark for healthy transformer training. The reasoning is a roofline argument. On a B200, the crossover between bandwidth-bound and compute-bound sits at 292 FLOP/byte. Feeding 256 frames per GPU pushes the workload past that ridge point.","Sharding went the other way from expectations. At 1.6B parameters the model state — parameters, gradients, optimizer state, and EMA — occupied roughly 24 GiB, which fits on a B200. Activations were the real cost. The research team tried data parallelism, FSDP, tensor parallelism, and sequence parallelism, then settled on plain data parallelism plus activation checkpointing.","Dataloading was solved by pre-tokenizing the entire dataset into .arrayrecord files, then using Grain with a GPU-side prefetch buffer. ffmpeg decoding was not fast enough to keep the GPUs fed.","The research team is explicit that stability consumed the largest share of their time. Their key observation: most stability problems occur despite the loss going down. MSE improves smoothly while generation quality degrades.","Six fixes are documented. Muon replaced LaProp, which spiked randomly and increasingly often, across two runs of roughly 400 B200 hours each. EMA weights are treated as mandatory for diffusion inference. Mixed precision is boundary-sensitive: parameters stay float32, BF16 covers most matmul activations and attention inputs, and float32 is kept for normalization and the dynamics flow output head.","On loss weighting, they use x-prediction with a v-space loss, which reduces to a weighting term similar to Dreamer 4’s but with a squared denominator. They report a small but noticeable improvement. Minibatch barycentric optimal transport between noise and latent sequences made rollout generation more stable. μ-parametrization was tested and judged unnecessary, partly because Muon holds hyperparameters steadier across model sizes.","One further result from the CoinRun phase: an iso-FLOPs sweep put compute-optimal scaling at roughly N ∝ C 0.56 and D ∝ C 0.44 .","The repository does not include the behaviour-cloning or RL training loop; a full Dreamer 4 BC/RL agent loop is listed as an open roadmap item. The CoinRun policy work described in the post was not used for Minecraft and was not released.","The post also does not publish FVD scores, though scripts/eval_fvd.py ships with an I3D-based harness configured for 4 context frames and a 240-frame horizon.","Check out the blog post and demo：https://next-state.github.io/open-dreamer/, the training repo：https://github.com/next-state/open-dreamer, the inference repo：https://github.com/reactor-team/open-dreamer, and Reactor on X：https://x.com/reactorworld/status/2080711388738249132. All credit for this research goes to the researchers of this project.","Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences."],"articleImages":[{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2019/06/Screen-Shot-2021-09-14-at-9.02.24-AM-300x300.png","alt":"","afterParagraph":22,"url":"/media/articles/cms0rgb01007vrovabybpkqli/787a6d54564e8e19.webp"},{"sourceUrl":"https://www.marktechpost.com/wp-content/uploads/2026/07/blog6171-1-100x70.png","alt":"Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning","afterParagraph":23,"url":"/media/articles/cms0rgb01007vrovabybpkqli/80925b48ffa65ad2.webp"}],"mediaStatus":"ok","articleBodyZh":["一小群 AI 研究人员（Reactor）发布了 Open Dreamer：https://next-state.github.io/open-dreamer/，这是 Dreamer 4：https://danijar.com/project/dreamer4/ 世界模型流水线的开源实现，使用 JAX 和 Flax NNX 编写。","发布了两个代码库。next-state/open-dreamer：https://github.com/next-state/open-dreamer 包含训练流水线：因果视频分词器、基于动作条件的潜在动态模型、回滚生成以及 FVD 评分。reactor-team/open-dreamer：https://github.com/reactor-team/open-dreamer 包含一个最小化的本地回滚工具，可从 MP4 和匹配的动作文件生成帧。","第三个产物是在 Reactor 运行时托管的浏览器演示。它实时流式传输生成的 Minecraft 世界，并提供 Game ⟷ Dream 切换功能，将实际游戏的流逐帧传递给世界模型。","明确目标是复现 Dreamer 4 的研究：https://arxiv.org/abs/2509.24527。研究团队刻意避免使用该研究论文之外的方法，以保持搜索空间狭窄。他们从 CoinRun 开始，这是一个程序生成的 2D 平台游戏，可在单个 GPU 上训练，然后将可行的流水线扩展到 Minecraft/VPT 风格的游戏视频。","分词器和动态模型都使用相同的块因果 Transformer 主干。该主干交替使用两种注意力类型。空间层在单帧元素之间传播信息。因果时间层在帧之间传播信息。","分词器是基于 Transformer 的掩码自编码器，而不是 VAE。团队报告大约 100× 的压缩，并指出该设计无需 KL 或对抗损失。他们认为掩码使潜在空间更加可扩散。","动态模型执行下一帧预测，并通过扩散强制、流匹配和捷径模型进行训练。它还预测下一步动作。回滚并不是在单独的转换模块和策略之间交替进行，而是折叠为每个时间步的（前一个动作、状态、策略）块。空间注意力在每个块内部运行；因果时间注意力连接跨时间的块。","关键的是，世界模型的标记不能读取代理标记。因此，任务和策略信息只能通过下一步动作影响未来状态。","附带的Minecraft配置使配方变得具体。","动力学模型有16亿参数：30个块因果层，d_model 1920，30个注意力头，以及3个用于分组查询注意力的KV头。每四层是一个时间注意力层。每个时间步携带32个学习的寄存器标记，packing_factor: 2 将相邻的分词器潜变量打包到每个动力学空间标记中。时间注意力使用192步的滑动窗口。","训练在Muon上进行，总共200,000步，使用WSD调度，最高学习率为3e-4。快捷/自举样本在第100,000步以0.25的批量比例启动。EMA衰减为0.999。","分词器配置在瓶颈宽度16下，每帧发出512个潜变量标记。原始360×640帧被填充至368×640，以使两个尺寸都可划分为16×16的补丁。编码器深度为12，d_model为1536；解码器深度为8，d_model为1024。MAE掩码概率最高为0.9，并且在一半时间步上以权重0.2应用LPIPS。","VPT动作被解析为27个二进制动作通道加121个分类鼠标类，没有连续通道。","研究团队报告模型FLOPs利用率为57–58%，而健康的变压器训练的标称基准为60%。理由是屋顶线分析。在B200上，带宽受限和计算受限的交叉点为292 FLOP/byte。每GPU输入256帧会使工作负载超过该临界点。","分片情况与预期相反。在16亿参数下，模型状态——参数、梯度、优化器状态和EMA——大约占用24 GiB，可放入B200。激活才是真正的开销。研究团队尝试了数据并行、FSDP、张量并行和序列并行，最终选择了普通数据并行加激活检查点。","数据加载通过将整个数据集预先分词成.arrayrecord文件，然后使用带GPU端预取缓冲的Grain来解决。ffmpeg解码速度不足以保持GPU供给。","研究团队明确表示，稳定性问题消耗了他们最多的时间。他们的关键观察：尽管损失下降，大多数稳定性问题仍然发生。MSE平滑改善，而生成质量下降。","文档中记录了六个修复方法。Muon 替代了 LaProp，后者在大约两次每次 400 B200 小时的运行中随机且越来越频繁地出现峰值。EMA 权重被视为扩散推理的强制要求。混合精度对边界敏感：参数保持 float32，大多数 matmul 激活和注意力输入使用 BF16，而归一化和动态流输出头保持 float32。","在损失加权方面，他们使用带有 v 空间损失的 x 预测，这归约为类似 Dreamer 4 的加权项，但分母为平方。他们报告了小但可注意的改进。在噪声和潜序列之间进行小批量重心最优运输使展开生成更稳定。μ 参数化已测试并被判断为不必要，部分原因是 Muon 在不同模型大小下保持超参数更稳定。","来自 CoinRun 阶段的另一个结果：等 FLOPs 扫描显示计算最优缩放大约为 N ∝ C 0.56 和 D ∝ C 0.44。","该仓库不包括行为克隆或 RL 训练循环；完整的 Dreamer 4 BC/RL 代理循环列为开放路线图项目。帖子中描述的 CoinRun 策略工作未用于 Minecraft，并且未发布。","该帖子也未发布 FVD 分数，尽管脚本/eval_fvd.py 配备了一个基于 I3D 的测试环境，配置为 4 个上下文帧和 240 帧的时间跨度。","查看博客帖子和演示：https://next-state.github.io/open-dreamer/，训练仓库：https://github.com/next-state/open-dreamer，推理仓库：https://github.com/reactor-team/open-dreamer，以及 Reactor 在 X：https://x.com/reactorworld/status/2080711388738249132。本研究的所有功劳归该项目的研究人员所有。","Asif Razzaq 是 Marktechpost Media Inc. 的首席执行官。作为一位有远见的企业家和工程师，Asif 致力于利用人工智能的潜力造福社会。他最近的努力是推出人工智能媒体平台 Marktechpost，该平台因其对机器学习和深度学习新闻的深入报道而脱颖而出，既技术上可靠，又易于广大受众理解。该平台每月浏览量超过 200 万次，显示了其在观众中的受欢迎程度。"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。 Aioga 将其归入「产品更新」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：模型与研究类动态需要结合能力边界、开放方式、成本、可用性和真实任务表现判断，单项指标领先不等于已经形成稳定采用。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察官方文档、实际可用性、价格变化、开发者反馈和竞品回应。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-28T06:29:10.504Z","sourceHash":"e218226207df5f76","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["产品更新","MarkTechPost（RSS）"],"translations":{"zh-CN":{"title":"Reactor 发布 Open Dreamer：JAX/Flax 复现 Dreamer 4 世界模型管线","summary":"Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。该实现包含一个基于 Transformer 的因果视频分词器（约 100 倍压缩）和一个 1.6B 参数的动态模型，并提供了 Minecraft 实时生成演示。","category":"产品更新","source":"marktechpost.com","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor 发布 Open Dreamer：JAX/Flax 复现 Dreamer 4 世界模型管线 - Aioga AI资讯","description":"Reactor 团队发布 Open Dreamer，在 JAX/Flax NNX 中完整复现 Dreamer 4 世界模型管线并公开训练配置。该实现包含一个基于 Transformer 的因果视频分词器（约 100 倍压缩）和一个 1.6B 参数的动态模型，并提供了 Minecraft 实时生成演示。","url":"https://www.aioga.com/news/cms0rgb01007vrovabybpkqli/"},"en":{"title":"Reactor Releases Open Dreamer: JAX/Flax Reproduction of Dreamer 4 World Model Pipeline","summary":"The Reactor team released Open Dreamer, a full reproduction of the Dreamer 4 world model pipeline in JAX/Flax NNX, and publicly shared the training configuration. This implementation includes a Transformer-based causal video tokenizer (approximately 100x compression) and a 1.6B parameter dynamics model, and provides a real-time generation demo in Minecraft.","category":"Products","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor Releases Open Dreamer: JAX/Flax Reproduction of Dreamer 4 World Model Pipeline - Aioga AI News","description":"The Reactor team released Open Dreamer, a full reproduction of the Dreamer 4 world model pipeline in JAX/Flax NNX, and publicly shared the training configuration. This implementati...","url":"https://www.aioga.com/en/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:03:20.775Z"},"ja":{"title":"Reactor が Open Dreamer を公開：JAX/Flax で Dreamer 4 の世界モデルパイプラインを再現","summary":"ReactorチームはOpen Dreamerを公開し、JAX/Flax NNXでDreamer 4ワールドモデルパイプラインを完全に再現し、トレーニング設定を公開しました。この実装には、Transformerに基づく因果動画トークナイザー（約100倍圧縮）と1.6Bパラメータのダイナミックモデルが含まれており、Minecraftのリアルタイム生成デモも提供されています。","category":"製品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor が Open Dreamer を公開：JAX/Flax で Dreamer 4 の世界モデルパイプラインを再現 - Aioga AIニュース","description":"ReactorチームはOpen Dreamerを公開し、JAX/Flax NNXでDreamer 4ワールドモデルパイプラインを完全に再現し、トレーニング設定を公開しました。この実装には、Transformerに基づく因果動画トークナイザー（約100倍圧縮）と1.6Bパラメータのダイナミックモデルが含まれており、Minecraftのリアルタイム生成デモも提供...","url":"https://www.aioga.com/ja/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:03:34.511Z"},"ko":{"title":"Reactor가 Open Dreamer를 발표: JAX/Flax로 Dreamer 4 세계 모델 파이프라인 재현","summary":"Reactor 팀은 Open Dreamer를 발표했으며, JAX/Flax NNX에서 Dreamer 4 세계 모델 파이프라인을 완전히 재현하고 훈련 구성을 공개했습니다. 이 구현에는 Transformer 기반의 인과 비디오 토크나이저(약 100배 압축)와 1.6B 파라미터의 동적 모델이 포함되어 있으며, Minecraft 실시간 생성 데모를 제공합니다.","category":"제품 업데이트","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor가 Open Dreamer를 발표: JAX/Flax로 Dreamer 4 세계 모델 파이프라인 재현 - Aioga AI 뉴스","description":"Reactor 팀은 Open Dreamer를 발표했으며, JAX/Flax NNX에서 Dreamer 4 세계 모델 파이프라인을 완전히 재현하고 훈련 구성을 공개했습니다. 이 구현에는 Transformer 기반의 인과 비디오 토크나이저(약 100배 압축)와 1.6B 파라미터의 동적 모델이 포함되어 있으며, Minecraft...","url":"https://www.aioga.com/ko/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:04:19.197Z"},"es":{"title":"Reactor lanza Open Dreamer: replicación del modelo de mundo Dreamer 4 con JAX/Flax","summary":"El equipo de Reactor lanzó Open Dreamer, reproduciendo completamente la canalización del modelo de mundo Dreamer 4 en JAX/Flax NNX y publicando la configuración de entrenamiento. Esta implementación incluye un tokenizador de video causal basado en Transformer (aproximadamente 100 veces de compresión) y un modelo dinámico de 1.600 millones de parámetros, además de ofrecer una demostración de generación en tiempo real de Minecraft.","category":"Productos","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor lanza Open Dreamer: replicación del modelo de mundo Dreamer 4 con JAX/Flax - Aioga Noticias de IA","description":"El equipo de Reactor lanzó Open Dreamer, reproduciendo completamente la canalización del modelo de mundo Dreamer 4 en JAX/Flax NNX y publicando la configuración de entrenamiento. E...","url":"https://www.aioga.com/es/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:04:11.461Z"},"fr":{"title":"Reactor publie Open Dreamer : reproduction de la pipeline du modèle du monde Dreamer 4 avec JAX/Flax","summary":"L'équipe Reactor a publié Open Dreamer, qui reproduit intégralement le pipeline du modèle du monde Dreamer 4 dans JAX/Flax NNX et rend publiques les configurations d'entraînement. Cette implémentation comprend un tokenizer vidéo causal basé sur Transformer (avec une compression d'environ 100 fois) et un modèle dynamique de 1,6 milliard de paramètres, et propose une démonstration de génération en temps réel dans Minecraft.","category":"Produits","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor publie Open Dreamer : reproduction de la pipeline du modèle du monde Dreamer 4 avec JAX/Flax - Aioga Actualités IA","description":"L'équipe Reactor a publié Open Dreamer, qui reproduit intégralement le pipeline du modèle du monde Dreamer 4 dans JAX/Flax NNX et rend publiques les configurations d'entraînement....","url":"https://www.aioga.com/fr/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:05:00.840Z"},"de":{"title":"Reactor veröffentlicht Open Dreamer: JAX/Flax Reproduktion der Dreamer 4 Weltmodell-Pipeline","summary":"Das Reactor-Team hat Open Dreamer veröffentlicht, eine vollständige Replikation der Dreamer 4-Weltmodell-Pipeline in JAX/Flax NNX, einschließlich der öffentlichen Trainingskonfiguration. Die Implementierung beinhaltet einen auf Transformer basierenden kausalen Video-Tokenizer (etwa 100-fache Kompression) und ein dynamisches Modell mit 1,6 Milliarden Parametern und bietet eine Demonstration der Echtzeitgenerierung in Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor veröffentlicht Open Dreamer: JAX/Flax Reproduktion der Dreamer 4 Weltmodell-Pipeline - Aioga KI-News","description":"Das Reactor-Team hat Open Dreamer veröffentlicht, eine vollständige Replikation der Dreamer 4-Weltmodell-Pipeline in JAX/Flax NNX, einschließlich der öffentlichen Trainingskonfigur...","url":"https://www.aioga.com/de/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:05:00.281Z"},"pt-BR":{"title":"Reactor lança Open Dreamer: reimplementação do pipeline de modelo de mundo Dreamer 4 com JAX/Flax","summary":"A equipe Reactor lançou o Open Dreamer, reproduzindo completamente o pipeline do modelo mundial Dreamer 4 em JAX/Flax NNX e tornando públicas as configurações de treinamento. Esta implementação inclui um tokenizador de vídeo causal baseado em Transformer (com compressão de cerca de 100 vezes) e um modelo dinâmico de 1,6 bilhão de parâmetros, além de fornecer uma demonstração de geração em tempo real no Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor lança Open Dreamer: reimplementação do pipeline de modelo de mundo Dreamer 4 com JAX/Flax - Aioga Notícias de IA","description":"A equipe Reactor lançou o Open Dreamer, reproduzindo completamente o pipeline do modelo mundial Dreamer 4 em JAX/Flax NNX e tornando públicas as configurações de treinamento. Esta...","url":"https://www.aioga.com/pt-BR/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:05:38.404Z"},"ru":{"title":"Reactor выпустил Open Dreamer: воспроизведение модели мира Dreamer 4 с использованием JAX/Flax","summary":"Команда Reactor выпустила Open Dreamer, полностью воспроизведя конвейер модели мира Dreamer 4 в JAX/Flax NNX и опубликовав конфигурации обучения. Эта реализация включает трансформерный причинно-следственный видео-токенизатор (примерно 100-кратное сжатие) и динамическую модель с 1,6 млрд параметров, а также предоставляет демонстрацию генерации в реальном времени в Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor выпустил Open Dreamer: воспроизведение модели мира Dreamer 4 с использованием JAX/Flax - Aioga Новости ИИ","description":"Команда Reactor выпустила Open Dreamer, полностью воспроизведя конвейер модели мира Dreamer 4 в JAX/Flax NNX и опубликовав конфигурации обучения. Эта реализация включает трансформе...","url":"https://www.aioga.com/ru/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:05:40.520Z"},"ar":{"title":"Reactor يصدر Open Dreamer: إعادة إنتاج نموذج عالم Dreamer 4 باستخدام JAX/Flax","summary":"أصدر فريق Reactor مشروع Open Dreamer، الذي يعيد إنشاء خط أنابيب نموذج العالم Dreamer 4 بالكامل في JAX/Flax NNX ويكشف عن إعدادات التدريب. تتضمن هذه التنفيذية مفكك ترميز فيديو سببي يعتمد على Transformer (بتقريب 100 ضعف الضغط) ونموذج ديناميكي يحتوي على 1.6 مليار معامل، ويقدم عرضًا مباشرًا لتوليد Minecraft في الوقت الفعلي.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor يصدر Open Dreamer: إعادة إنتاج نموذج عالم Dreamer 4 باستخدام JAX/Flax - Aioga أخبار الذكاء الاصطناعي","description":"أصدر فريق Reactor مشروع Open Dreamer، الذي يعيد إنشاء خط أنابيب نموذج العالم Dreamer 4 بالكامل في JAX/Flax NNX ويكشف عن إعدادات التدريب. تتضمن هذه التنفيذية مفكك ترميز فيديو سببي ي...","url":"https://www.aioga.com/ar/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:06:27.254Z"},"hi":{"title":"Reactor ने Open Dreamer जारी किया: JAX/Flax में Dreamer 4 वर्ल्ड मॉडल पाइपलाइन को पुनः पेश किया","summary":"Reactor टीम ने Open Dreamer जारी किया, JAX/Flax NNX में Dreamer 4 वर्ल्ड मॉडल पाइपलाइन को पूरी तरह से पुनःप्रयोजित किया और प्रशिक्षण कॉन्फ़िगरेशन को सार्वजनिक किया। इस कार्यान्वयन में एक ट्रांसफॉर्मर आधारित कारणात्मक वीडियो टोकनाइज़र (लगभग 100 गुना संपीड़न) और 1.6B पैरामीटर वाला डायनामिक मॉडल शामिल है, और यह Minecraft रीयल-टाइम जेनरेशन डेमो प्रदान करता है।","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor ने Open Dreamer जारी किया: JAX/Flax में Dreamer 4 वर्ल्ड मॉडल पाइपलाइन को पुनः पेश किया - Aioga AI समाचार","description":"Reactor टीम ने Open Dreamer जारी किया, JAX/Flax NNX में Dreamer 4 वर्ल्ड मॉडल पाइपलाइन को पूरी तरह से पुनःप्रयोजित किया और प्रशिक्षण कॉन्फ़िगरेशन को सार्वजनिक किया। इस कार्यान्वयन...","url":"https://www.aioga.com/hi/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:06:25.781Z"},"it":{"title":"Reactor ha rilasciato Open Dreamer: Replicazione di Dreamer 4 World Model Pipeline con JAX/Flax","summary":"Il team di Reactor ha rilasciato Open Dreamer, che replica completamente la pipeline del modello del mondo Dreamer 4 in JAX/Flax NNX e rende pubbliche le configurazioni di addestramento. Questa implementazione include un tokenizzatore video causale basato su Transformer (circa 100 volte compresso) e un modello dinamico da 1,6 miliardi di parametri, oltre a fornire una demo di generazione in tempo reale di Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor ha rilasciato Open Dreamer: Replicazione di Dreamer 4 World Model Pipeline con JAX/Flax - Aioga Notizie IA","description":"Il team di Reactor ha rilasciato Open Dreamer, che replica completamente la pipeline del modello del mondo Dreamer 4 in JAX/Flax NNX e rende pubbliche le configurazioni di addestra...","url":"https://www.aioga.com/it/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:07:06.561Z"},"nl":{"title":"Reactor brengt Open Dreamer uit: JAX/Flax reproduceert Dreamer 4 wereldmodelpijplijn","summary":"Het Reactor-team heeft Open Dreamer uitgebracht, dat de volledige Dreamer 4 wereldmodelpipeline in JAX/Flax NNX herproduceert en de trainingsconfiguratie openbaar maakt. De implementatie bevat een op Transformer gebaseerd causaal videotoekenner (ongeveer 100 keer gecomprimeerd) en een dynamisch model met 1,6 miljard parameters, en biedt een realtime demo van Minecraft-generatie.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor brengt Open Dreamer uit: JAX/Flax reproduceert Dreamer 4 wereldmodelpijplijn - Aioga AI-nieuws","description":"Het Reactor-team heeft Open Dreamer uitgebracht, dat de volledige Dreamer 4 wereldmodelpipeline in JAX/Flax NNX herproduceert en de trainingsconfiguratie openbaar maakt. De impleme...","url":"https://www.aioga.com/nl/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:07:09.318Z"},"tr":{"title":"Reactor Open Dreamer'ı duyurdu: JAX/Flax ile Dreamer 4 dünya modeli hattını yeniden oluşturma","summary":"Reactor ekibi, JAX/Flax NNX'te Dreamer 4 dünya modeli boru hattını tamamen yeniden üreten ve eğitim yapılandırmasını açıkça paylaşan Open Dreamer'ı yayınladı. Bu uygulama, Transformer tabanlı bir nedensel video tokenleştirici (yaklaşık 100 kat sıkıştırma) ve 1,6B parametreli dinamik bir model içeriyor ve Minecraft gerçek zamanlı üretim demosu sunuyor.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor Open Dreamer'ı duyurdu: JAX/Flax ile Dreamer 4 dünya modeli hattını yeniden oluşturma - Aioga AI Haberleri","description":"Reactor ekibi, JAX/Flax NNX'te Dreamer 4 dünya modeli boru hattını tamamen yeniden üreten ve eğitim yapılandırmasını açıkça paylaşan Open Dreamer'ı yayınladı. Bu uygulama, Transfor...","url":"https://www.aioga.com/tr/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:07:55.930Z"},"vi":{"title":"Reactor phát hành Open Dreamer: JAX/Flax tái hiện pipeline mô hình thế giới Dreamer 4","summary":"Nhóm Reactor phát hành Open Dreamer, hoàn toàn tái hiện pipeline mô hình thế giới Dreamer 4 trong JAX/Flax NNX và công khai cấu hình huấn luyện. Triển khai này bao gồm một bộ phân tách video nhân quả dựa trên Transformer (nén khoảng 100 lần) và một mô hình động với 1,6 tỷ tham số, đồng thời cung cấp trình diễn sinh trực tiếp Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor phát hành Open Dreamer: JAX/Flax tái hiện pipeline mô hình thế giới Dreamer 4 - Tin tức AI Aioga","description":"Nhóm Reactor phát hành Open Dreamer, hoàn toàn tái hiện pipeline mô hình thế giới Dreamer 4 trong JAX/Flax NNX và công khai cấu hình huấn luyện. Triển khai này bao gồm một bộ phân...","url":"https://www.aioga.com/vi/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:07:51.694Z"},"id":{"title":"Reactor merilis Open Dreamer: Reproduksi pipeline model dunia Dreamer 4 dengan JAX/Flax","summary":"Tim Reactor merilis Open Dreamer, sepenuhnya mereplikasi pipeline model dunia Dreamer 4 di JAX/Flax NNX dan membuka konfigurasi pelatihan. Implementasi ini mencakup tokenizer video kausal berbasis Transformer (dikompresi sekitar 100 kali) dan model dinamis berparameter 1,6 miliar, serta menyediakan demo generasi waktu nyata Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor merilis Open Dreamer: Reproduksi pipeline model dunia Dreamer 4 dengan JAX/Flax - Berita AI Aioga","description":"Tim Reactor merilis Open Dreamer, sepenuhnya mereplikasi pipeline model dunia Dreamer 4 di JAX/Flax NNX dan membuka konfigurasi pelatihan. Implementasi ini mencakup tokenizer video...","url":"https://www.aioga.com/id/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:08:33.870Z"},"th":{"title":"Reactor เปิดตัว Open Dreamer: การทำซ้ำ Dreamer 4 World Model Pipeline ด้วย JAX/Flax","summary":"ทีม Reactor เปิดตัว Open Dreamer ซึ่งทำการจำลองแบบเต็มรูปแบบของท่อการสร้างโลก Dreamer 4 ใน JAX/Flax NNX และเผยแพร่การตั้งค่าการฝึกอบรม การทำงานนี้รวมถึงตัวแบ่งคำวิดีโอเชิงสาเหตุที่ใช้ Transformer (บีบอัดประมาณ 100 เท่า) และโมเดลไดนามิกขนาด 1.6B พารามิเตอร์ พร้อมทั้งมีตัวอย่างสาธิตการสร้างแบบเรียลไทม์ใน Minecraft","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor เปิดตัว Open Dreamer: การทำซ้ำ Dreamer 4 World Model Pipeline ด้วย JAX/Flax - ข่าว AI Aioga","description":"ทีม Reactor เปิดตัว Open Dreamer ซึ่งทำการจำลองแบบเต็มรูปแบบของท่อการสร้างโลก Dreamer 4 ใน JAX/Flax NNX และเผยแพร่การตั้งค่าการฝึกอบรม การทำงานนี้รวมถึงตัวแบ่งคำวิดีโอเชิงสาเหตุที่...","url":"https://www.aioga.com/th/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:08:39.048Z"},"pl":{"title":"Reactor opublikował Open Dreamer: odtworzenie pipeline'u modelu świata Dreamer 4 w JAX/Flax","summary":"Zespół Reactor wydał Open Dreamer, w pełni odtwarzając w JAX/Flax NNX potok modelu świata Dreamer 4 i udostępniając konfiguracje treningowe. Ta implementacja zawiera oparty na Transformerze przyczynowy tokenizator wideo (około 100-krotna kompresja) oraz model dynamiczny o 1,6 mld parametrów, a także oferuje demonstrację generowania w czasie rzeczywistym w Minecraft.","category":"产品更新","source":"MarkTechPost（RSS）","aggregationSource":"MarkTechPost（RSS）","pageTitle":"Reactor opublikował Open Dreamer: odtworzenie pipeline'u modelu świata Dreamer 4 w JAX/Flax - Aioga Wiadomości AI","description":"Zespół Reactor wydał Open Dreamer, w pełni odtwarzając w JAX/Flax NNX potok modelu świata Dreamer 4 i udostępniając konfiguracje treningowe. Ta implementacja zawiera oparty na Tran...","url":"https://www.aioga.com/pl/news/cms0rgb01007vrovabybpkqli/","contentTranslated":true,"sourceHash":"431ec6545f7ddf44","translatedAt":"2026-07-27T21:09:17.427Z"}}}}