Claude Code costs up to $200 a month. Goose does the same thing for free. venturebeat.com/infrastructu… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-07 00:01 UTC
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Claude Code costs up to $200 a month. Goose does the same thing for free. venturebeat.com/infrastructu… [Translated from EN to English]
→ View original post on X — @craigbrownphd, 2026-04-07 00:01 UTC
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we actually do, @NotionHQ is really good for this

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诸位都知道 @evermind 是 @shanda_group 系的吧,盛大下面好几个 AI Native 公司,这不来自 @TankaChat 的 bro 写了一个开源项目,觉得思路特别好,给大家科普一下。 先说一个你可能有过的体验: 你用 Claude Code 说"帮我做个网页",AI 在终端里哗哗改代码,改完了你得自己开浏览器、找到文件、刷新页面才能看效果。觉得按钮颜色不对?切回终端,打字说"第二行那个蓝色按钮改成绿色",AI 可能还不确定你说的是哪个按钮。改完再切回去刷新看。 整个过程就是:说 → 等 → 切 → 看 → 切回来 → 再说。来回跳,而且你用文字描述视觉问题本身就很不精确。 pneuma-skills 这个项目的做法是,把 AI 的工作区和你的预览区塞进同一个界面。AI 每改一行代码,你这边实时看到渲染结果。你觉得哪里不对,鼠标选中那个元素,AI 立刻知道你在说什么。 你可以理解成:你和 AI 在同一个 Google Docs 里协作,只不过 AI 负责写代码,你看到的是实时渲染出来的成品。 而且它不只能做一种东西。它内置了 8 个模式:网页设计、幻灯片、Markdown 文档、Excalidraw 手绘白板、draw.io 流程图、AI 插画,甚至还有一个"模式创建器"让你自己定义新的内容类型。 最让我觉得有意思的是两点: 一是它会记住你的审美偏好。你喜欢圆角、暗色系、大间距,用几次之后它就知道了,下次不用再说。这个偏好跨 session 持久化,换个项目也还在。 二是它有个叫 Evolution Agent 的东西,会分析你过去的操作,自动优化它自己的技能模板。意思是这个系统不是静态的,是会跟着你一起长的。 底层架构上,它抽象了三层契约,agent 后端是可插拔的,目前支持 Claude Code 和 OpenAI Codex。 我觉得这个项目指向了一个很重要的方向:AI 工具的下一个瓶颈不在模型能力,在交互界面。你和 AI 之间的沟通带宽越大,协作效率就越高。 这个项目盛大内部用了都觉得不错,推荐给诸位。 Ez Chan (@EzPandazki) 我本来觉得,做 PPT 应该早就每个人都有自己一套了。没想到这玩意儿好评度这么高~ 没什么好介绍的,反正 cc 天下无敌。如果有 cc 订阅(codex 也支持但是没测试过)的同学,评论自取吧。 — https://nitter.net/EzPandazki/status/2041184491490963550#m
→ View original post on X — @elliotchen100, 2026-04-06 23:41 UTC
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SambaManaged, the first turnkey AI solution to go from idea to impact fast.
— SambaNova (@SambaNovaAI) 6 avril 2026
✅ Work smarter, not harder
✅ Deploy in weeks, not years
✅ Your models, your rules
✅ Scale effortlessly
✅ Managed or DIY https://t.co/22rBfP844t pic.twitter.com/S9RREtnGCy
SambaManaged, the first turnkey AI solution to go from idea to impact fast. ✅ Work smarter, not harder ✅ Deploy in weeks, not years ✅ Your models, your rules ✅ Scale effortlessly ✅ Managed or DIY sambanova.ai/products/sambam…
→ View original post on X — @sambanovaai, 2026-04-06 23:23 UTC
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Loved collaborating with @OpenBMB on this.
— Charly Wargnier (@DataChaz) 6 avril 2026
♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗
Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz https://t.co/tXpDPDlS6G
Loved collaborating with @OpenBMB on this. ♻️ Show some love with a repost if you enjoyed the content. Supporting small teams is how we build the future 🤗 Stay ahead with daily drops on LLMs, agents, and workflows by following me → @datachaz Charly Wargnier (@DataChaz) 🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓ — https://nitter.net/DataChaz/status/2041289800695873546#m
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1/ HuggingFace Space to try it: huggingface.co/spaces/openbm…
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🚨 The new era of Open-Source TTS is here.@OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis.
— Charly Wargnier (@DataChaz) 6 avril 2026
We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it.
How… pic.twitter.com/wetVFDVTyc
🚨 The new era of Open-Source TTS is here. @OpenBMB's VoxCPM 2 just dropped and it changes the game for voice synthesis. We are moving past fixed speaker presets to true "Concept-to-Voice" generation. Just describe the voice you want in text, and the 2B model builds it. How does it beat discrete token-based models like Qwen3-TTS? VoxCPM 2 uses a cutting-edge Diffusion-Autoregressive Continuous Representation framework. → Eliminates discrete token data loss → Preserves raw acoustic metadata → Outputs natively in 48,000Hz CD-quality audio The studio-grade expressiveness is phenomenal. I gave it a specific text prompt: "Deep booming male voice, strong resonant vocal, rhythmic hype pace." It dynamically calculates natural breathing, chest vibrations, and micro-pauses. It actually performs the text naturally. Best of all, the entire stack is fully open-source and highly developer-friendly. → Native PyTorch inference workflows → LoRA and full-parameter fine-tuning → Compatible with voxcpm-nanovllm Repo and demos links in 🧵↓
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🚩Gemma4 INT4 models are now available! @huggingface @GoogleAI @IntelAI huggingface.co/Intel/gemma-4… huggingface.co/Intel/gemma-4…
→ View original post on X — @clementdelangue, 2026-04-06 22:50 UTC
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Okay, I have no clue how he did it but this is the best 27B distill I've used to date. @DJLougen absolutely cooked with this one. Note: this is *NOT* the Hermes Agent reasoning-trace distilled version, but it works incredibly well with Hermes. I haven't had a single failed tool call and it is SMART. This one feels different. It's GOOD. Like, really, really GOOD. I don't even know if a Hermes distilled version would be better. It's THAT good. I'm curious if anyone else has tried it – this is an incredible model! huggingface.co/DJLougen/Harm…
→ View original post on X — @clementdelangue, 2026-04-06 21:52 UTC
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if, like me, you have so many ppl to remove from your old photos, this is a banger 😉 https://t.co/HTdrUfS9MJ
— Charly Wargnier (@DataChaz) 6 avril 2026
if, like me, you have so many ppl to remove from your old photos, this is a banger 😉 Charly Wargnier (@DataChaz) Wow. @Netflix just dropped VOID. This AI removes objects from any video… And even corrects the physics of the scene after objects/people are removed 🤯 It's 100% free and open-source. Repo + demo links in 🧵↓ — https://nitter.net/DataChaz/status/2041045342687564031#m