peter hu

Loopal CEO， (AI personal creation & research assistant)
Focused on AI tech & applications

[peter hu @Creatorwave_ai]

Loopal 是一个多模型 AI 创作平台。

它可以统一使用 Claude Fable 5、Opus 4.8、Sonnet 5、GPT-5.6 Sol、Terra、Luna、Grok 4.5、Meta Muse Spark 1.1、Gemini 3.5 Flash，以及主流国产模型。

除了coding 之外，还支持：
生图：GPT-Image 2、Nano Banana、Seedream
语音：MiniMax TTS、豆包、ElevenLabs
视频：Seedance、HappyHorse、Kling、Veo、Hailuo
音乐：Suno、Mureka
3D：多个主流 3D 生成模型

可以直接完成网站开发、游戏开发、PPT 制作、视频创作、音乐创作、图片设计和 3D 内容生成。

一份订阅，统一调用多个顶尖模型，不用在 Claude Code、Codex 和各种生成平台之间来回切换。

平台内还有不少免费模型可以使用。访问：https://t.co/tKwELAixX1

[peter hu @Creatorwave_ai]

分享一个适合前端 / 设计 Agent 的技能：Hallmark。

它能够解决AI 页面常见的模板味：居中大标题、紫蓝渐变、三栏卡片、空泛文案、假浏览器框。

Hallmark 强制 Agent 先做设计决策，再���代码：
• 读取项目已有字��、色板和框架
• 选择页面结构，而非默认 Hero + Feature
• 建立主题、视觉与响应式规则
• 用 Slop Test 检查反模式与可访问性

如果你常用 Agent 做前端页面，它很适合作为 UI 质量门槛。

查看使用前后效果：
https://t.co/YcABuW8i50

[peter hu @Creatorwave_ai]

https://t.co/4wxVATfFGL

[peter hu @Creatorwave_ai]

Kimi K3 model can be used on Loopal (https://t.co/FyMy8CQFUm)

[Kimi.ai @Kimi_Moonshot]

Kimi K3 has received far more love than we expected, and our GPUs are feeling it.

Over the past 48 hours, demand has pushed close to the limits of our current capacity. To protect the experience of existing subscribers, we're temporarily pausing new subscriptions and prioritizing compute for current members. Existing subscribed users are not affected.

We're adding capacity as fast as we can and will reopen new subscription spots in batches.

Going forward, we'll also split membership into two more focused plans: Kimi Membership for Kimi Web, App, and Work; and Kimi Code Membership for coding workflows. This will help us match compute more precisely and keep the experience stable.

Thank you for your patience and understanding!

[peter hu @Creatorwave_ai]

https://t.co/EdjyxdW0zP

[peter hu @Creatorwave_ai]

Haha, could Elon use first principles to refute this suggestion?

[Russ Salakhutdinov @rsalakhu]

If you are trying to compare yourself to Kimi, open source the model just like Kimi.

[peter hu @Creatorwave_ai]

@_studioarchive elegant

[peter hu @Creatorwave_ai]

try these 4 models in Loopal (https://t.co/FyMy8CQFUm)

[thehype. @thehypedotnews]

kimi k3 vs gpt 5.6 sol vs fable 5 vs grok 4.5

@Kimi_Moonshot just dropped kimi k3 – a 2.8t param native multimodal model, the first open 3t-class release. key facts:

• 1m token context. stable latentmoe activating 16 of 896 experts, built on kimi delta attention (kda) and attention residuals

• quantization-aware training from the sft stage onward – mxfp4 weights, mxfp8 activations. moonshot claims ~2.5x scaling efficiency over k2

• max thinking effort by default. low- and high-effort modes are "coming in updates" – there is no way to turn the thinking down today, and you feel it in every run

• pricing: $0.30/mtok cache-hit input, $3.00/mtok cache-miss, $15.00/mtok output. claims >90% cache hit rate on coding workloads

• benchmarks: swe marathon 42.0 (1st – fable 5: 35.0, sol: 39.0, opus 4.8: 40.0), terminal bench 2.1 88.3, browsecomp 91.2 (1st), program bench 77.8 (1st), gpqa-diamond 93.5. loses frontierswe 81.2 vs fable's 86.6, and deepswe 67.5 vs sol's 73.0

our test – 3 prompts, single-file html, @threejs, fully procedural, no assets:

1. photorealistic european roulette wheel – 37 pockets in the real sequence, mahogany clearcoat bowl, chrome turret, diamond deflectors, flick-to-spin, ball that spirals inward and settles on a mathematically real number

2. las vegas slot machine – 3 reels behind transmissive glass, drag the chrome lever to play, mechanical odometer counters modelled in 3d, coin physics on win

3. full pinball table – 6.5° tilted playfield, flipper impulse physics, spline ramps, drop targets, 6 bumpers, mechanical score reels in the backbox

we ran the test on @aimlapi platform

results:

- cost
#1 grok 4.5 – $0.30
#2 kimi k3 – $0.71
#3 gpt 5.6 sol – $2.05
#4 fable 5 – $7.69

- tokens
#1 grok 4.5 – 34,241
#2 gpt 5.6 sol – 51,748
#3 fable 5 – 144,126
#4 kimi k3 – 157,999

- lines of code
#1 gpt 5.6 sol – 3,054
#2 grok 4.5 – 3,047
#3 kimi k3 – 2,255
#4 fable 5 – 1,950

- generation time
#1 grok 4.5 – 5.1 min
#2 gpt 5.6 sol – 22.0 min
#3 fable 5 – 31.5 min
#4 kimi k3 – 75.6 min

observations:

• kimi k3 is cheap and it is slow. 75.6 minutes across three prompts against grok's 5.1. it is 2.4x grok's price and 15x grok's wall clock. the roulette took 15 min, the slot 18, the pinball 42

• it failed 2 of 3. only the roulette works. the slot machine has reel cutouts on both faces of the cabinet and the symbols face backwards – you can only read your spin by walking around to the rear of the machine. the pinball table stands vertically on its edge with the legs floating detached beside it.

• 81% of kimi's output tokens are reasoning, not code. grok: 22%. you are not paying for a bigger answer, you are paying for a longer argument with itself

• price per 100 shipped lines – grok $0.010, kimi $0.031, sol $0.067, fable $0.394. a 39x spread for the same three files

kimi k3's code quality:

upsides:

• the roulette is genuinely good – procedural wood grain with real specular breakup, correct european sequence (0-32-15-19-4...), chrome turret, diamond deflectors, clean console

• the pinball artwork is the best in the test – a synthwave "nova strike / deep space" field with six individually coloured neon bumper rings, a retro sun on a grid horizon, a nova burst, and a scoring legend printed on the apron. no other model printed the rules on the machine. it is a beautiful texture on a broken object

• physics reasoning is real – it derived a 480hz substep for the collider, worked out ball settle conditions and termination guarantees, and checked every ramp exit vector by hand before writing any of it

• it is the only model that saw the importmap trap coming. sol shipped a blank white page twice because three.js addons import the bare specifier 'three' and die without an import map

downsides:

• it dodged that trap on the slot by loading three.js r128 through classic script tags – a 2021 build with no working transmission. its slot glass rendered fully opaque and buried all three reels behind a white pane. the code asks for transmission: 0.93, ior: 1.5 – correct, and silently ignored by a renderer that predates the feature

• after 42 minutes and 212k characters of reasoning, the pinball cabinet is not assembled. the table stands vertically on its edge like a wardrobe – the prompt asked for 6.5° from horizontal, it delivered 90°. the legs float detached in the void beside it. head-on it photographs beautifully; orbit ten degrees and it is a painted slab with four chrome rods hovering nearby

• the playfield z-fights with the glass – hard black banding across the whole field as soon as you pull the camera back

a note on the pinball, in fairness to kimi: nobody passed it. every model shipped broken ball physics and controls you cannot trust. it is the hardest prompt we have run and the whole field failed it, each in its own way

kimi k3 reasons better than anything else here and it shows exactly where reasoning pays – physics constants, sequences, edge cases, traps the others walked into

follow @thehypedotnews for 24/7 ai news, analysis and breakdowns

[peter hu @Creatorwave_ai]

实测 Kimi K3
在网页设计任务上，和 Fable 5 接近，比 GPT5.6 Sol 稍差；
在游戏设计上，Fable 5 = Kimi K3 > GPT5.6 Sol > GLM 5.2；
视频制作任务上，Fable 5 >> Kimi K3 > GPT5.6 Sol
PPT 制作任务上，Fable 5、GPT 5.6 Sol 三家效果接近。

[peter hu @Creatorwave_ai]

https://t.co/a8cv6BjxKT

[peter hu @Creatorwave_ai]

https://t.co/a8cv6BjxKT

[peter hu @Creatorwave_ai]

https://t.co/voAWUWZGKO

[peter hu @Creatorwave_ai]

Loopal 是一个多模型 AI 创作平台。

它可以统一使用 Claude Fable 5、Opus 4.8、Sonnet 5、GPT-5.6 Sol、Terra、Luna、Grok 4.5、Meta Muse Spark 1.1、Gemini 3.5 Flash，以及主流国产模型。

除了coding 之外，还支持：
生图：GPT-Image 2、Nano Banana、Seedream
语音：MiniMax TTS、豆包、ElevenLabs
视频：Seedance、HappyHorse、Kling、Veo、Hailuo
音乐：Suno、Mureka
3D：多个��流 3D 生成模型

可以直接完成网站��发、游戏开发、PPT 制作、视频创作、音乐创作、图片设计和 3D 内容生成。

一份订阅，统一调用多个顶尖模型，不用在 Claude Code、Codex 和各种生成平台之间来回切换。

平台内还有不少免费模型可以使用。访问：https://t.co/tKwELAixX1

[peter hu @Creatorwave_ai]

https://t.co/GjFPa7jw6H

[peter hu @Creatorwave_ai]

https://t.co/GjFPa7jw6H

[Lonely @Lonely__MH]

https://t.co/5z6bRKr2EP

[peter hu @Creatorwave_ai]

@bcherny great

[peter hu @Creatorwave_ai]

This site has 2381 curated Seedance 2.0 video prompts translated into 16 languages. Best of all, you can download all prompts with one click! Try it out!
https://t.co/rzXoPtD4ip

[GitHubDaily @GitHub_Daily]

最近 X 上关于 OpenClaw 的热度持续飙升，尤其是多 Agent 协作和AI 女友 Clawra 这类玩法，非常火爆。

大家玩得很爽，但现实问题也很真实：Token 成本直接起飞，根本不适合长期跑应用。

正好看到 MemOS 团队开源了一个 OpenClaw 插件，官方实测 Token 消耗下降 72%+，模型调用次数减少 60%！

GitHub：https://t.co/RMZt3pEx3U

它不是简单的存聊天记录，而是把 Memory 做成��统级能力： 不再暴力塞全量历史，而是基于上下文做 精准 Recall + 激活记忆加载（Activated Memory），只把“当前场景真正需要的状态”送进 Prompt。

而且对多 Agent 架构也非常友好，Agent A 学到的状态，Agent B 可直接共享使用，真正跑通团队协作，拒绝信息孤岛。

如果你正在用 OpenClaw 搭应用，或者在做 agent 协作系统，这个插件值得一试。

它本质上不是“优化工具”，而是把 OpenClaw 从 Demo 玩具，往 系统级 Agent 架构 推了一步。

[clawi.ai @ClawiAi]

A collection of awesome real-life use cases for your agent.

https://t.co/2rCdfRyA1I

[peter hu @Creatorwave_ai]

@realDonaldTrump @grok 翻译总结下