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Every published item, in order · 9945 items
Nov 10
ProductsBuildersMulti-source03:19
Chinese contentClaude Fable 5.2 登陆 Databricks,主打编程、金融与科学场景

Databricks 客户第一天就能用上 Claude Fable 5.2,不用自己折腾集成。OfficeQA Pro v2 上的成绩可以当金融和科研场景的选型参考,70+ 模型走 Unity Gateway 统一管控这点对多模型团队挺实用。

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Official accountDatabricks@databricksSource
ProductsBuildersMulti-source03:05
Chinese contentFable 5.2 上线 Claude Platform 与 Claude Code,速度提升 30%

编码团队可以直接试一下,速度比 Fable 5.1 快最多 30%,价格还从 $10/$50 降到 $8/$40。如果你日常用 Claude Code 干活,单位成本下降对大批量任务挺实在。建议先拿自己的代码库跑几轮对比再切换。

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claudedevs@claudedevsSource
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ProductsBuildersMulti-source79°02:55
Chinese contentAWS Bedrock 价格表出现 Claude Fable 5.2 与 Mythos 5.2,定价较 5.1 版下降 20%

在 Bedrock 上用 Claude 的团队可以直接看这条:5.2 版输入输出全线降价 20%,缓存读取只要 $0.20/百万 token。如果你的账单大头在输出 token 或缓存调用,按这个新费率重算一下,一年省下的钱可能不小。

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kimmonismus@kimmonismusSource
ProductsBuildersMulti-source02:37
Chinese contentArchgen 用 AI 设计 3D 芯片,热仿真速度快 5000 倍

YC F26 的 Archgen 在做 AI 驱动的 3D 芯片设计工具,热仿真比传统 EDA 快 5000 倍,布局引擎还拿了 HRT 挑战赛第一。芯片垂直堆叠后散热和时序是硬骨头,他们让 AI 智能体自己找 bug、修复、重跑。做芯片设计或关注 EDA 格局的人可以看看。

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elvis@omarsar0Source
ProductsBuildersSelected02:31
Google expands 8th-generation TPU lineup with TPU 8i Max and 8tx

The real signal here is cadence: four systems in one generation within twelve months signals a shift from fixed silicon cycles to model-driven hardware iteration, compressing the usual ASIC refresh timeline. Teams evaluating inference infrastructure should compare TPU 8i Max against GPU-based serving for long-context workloads, and TPU 8tx against confidential-computing offerings from cloud rivals. PyTorch and Hugging Face developers can now port existing models to TPUs without rewrites via TorchTPU, making a pilot deployment practical rather than a major engineering project.

Sundar Pichai@sundarpichaiSource
Chinese contentSkyfall AI 用智能体团队 Steve 接管 3 家被收购公司运营

Skyfall AI 买了 3 家线上公司,让智能体团队 Steve 直接管客服、营销和改代码,第一家 MRR 三个月涨了 2.3 倍。和一般 agent demo 不同,它有真实营收数据和'一次收购的经验复用到下一次'的机制。做智能体产品的人可以看看 harness 怎么设计。

rohanpaul_ai@rohanpaul_aiSource
Chinese contentScale AI 与 Oracle 联合发布主权 AI 生产部署参考方案

Scale AI 和 Oracle 把主权 AI 部署写成了参考方案,政府团队照着就能从试点推到生产。跑在 OCI Dedicated Region 上,数据和模型都留在自己手里。做政府项目、关注数据主权部署的团队可以直接拿这份文档当起点。

Official accountScale AI@scale_AISource
ProductsBuildersSelected01:56
Hermes Cloud agents launch with browser access

Hosting agents in containers changes the practical ceiling: scheduled jobs and 24/7 availability no longer require keeping a machine on, which matters for anyone building persistent personal or team workflows. Developers and small teams can test Hermes without local setup and compare it against desktop-based agent hosts. Readers should check which of the Plus, Super or Ultra plans fits their agent needs and whether Nous Research's hosted model beats self-hosting on cost and uptime.

Official accountNous Research@NousResearchSource
Chinese contentGoogle 推出 AI Maps Studio,用提示词即可调用 Maps 功能构建应用

Google 把 Maps 的 3D 建筑、Street View、Weather 这些 API 打包进了 AI Maps Studio,打一句话提示词就能生成地图应用。以前要自己拼好几个 API,现在门槛低多了。做位置服务或地图可视化的开发者可以直接上手试试。

TestingCatalog@testingcatalogSource
ProductsBuildersMulti-source01:16
Chinese contentOpenRouter 将在 OpenAI、Anthropic 等插件商店上线 MCP 服务

OpenRouter 要进 OpenAI 和 Anthropic 的插件商店了,以后装个插件就能用它调度几百个模型,还不用每周重新登录。经常在多个客户端切模型的开发者会省不少配置功夫,MCP 生态的入口之争也多了一个变量。

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OpenRouter@OpenRouterAISource
ProductsBuildersMulti-source00:40
Chinese content用户实测 Claude Opus 5.5:多会话并行工作效率显著

有人同时跑 5 个会话干了好几天活,一周额度才用掉三分之一,省 token 这事对重度用户太实在了。如果你天天拿 Claude 写代码或者跑长任务,这篇实测能帮你判断要不要升级,也算给 OpenAI 和 Gemini 的订阅提了个醒。

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kimmonismus@kimmonismusSource
Chinese content腾讯光子联合高校发布 TailorRig:复杂服装 3D 角色自动绑骨

做3D动画的美术同学可以看看,腾讯光子跟西安交大、清华做的TailorRig,勾选裙子、袖子这些标签就能自动生成骨骼链,还兼容以前的动作库,古风层叠服装的布料乱扯问题能省不少手工活,后续还会开源。

Gorden Sun@Gorden_SunSource
ProductsBuildersSelected00:36
billion-context: agent plugin compresses context for month-long sessions

The interesting move is giving the model agency over its own memory: compression happens only when the model judges old turns are disposable, which reduces the accuracy loss typical of aggressive auto-summarisation. Developers building long-horizon agents or coding assistants that run for weeks on 100K-token models can drop it in as a proxy layer rather than rewriting prompts. The GitHub release makes it directly testable against naive summarisation baselines.

Gorden Sun@Gorden_SunSource
ProductsBuildersSelected00:34
MuJoCo: Google DeepMind open-sources physics engine for contact-rich motion

The differentiating detail is that MuJoCo exposes physics steps as differentiable gradients, letting researchers plug simulation directly into learning pipelines instead of treating the simulator as a black box. Reinforcement-learning researchers and robotics teams should clone the repo and benchmark it against Isaac Gym or PyBullet on their workloads before committing to a simulator. Teams running browser-based demos or lightweight evaluation can also use the WebAssembly build without a local install.

Gorden Sun@Gorden_SunSource

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