
VP at @gmi_cloud Ex-founder. Built Agents to 10M+ MAU. Now building the AI-native compute layer for the next big thing. 💜
San Francisco, CA
Joined December 2022
- Tweets479
- Following1.4K
- Followers397
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Louisa.g retweeted
AI companies are building in Singapore 🇸🇬
@ExaAILabs @daytonaio @miromind_ai @amilabs @ElevenLabs @MistralAI @DeepgramAI @genspark_ai @harvey @SimularAI
This Sep, we’re connecting AI companies entering SG with local GTM, research & engineering talent.
Any dinner venue recs?
Louisa.g retweeted
🚨 GMI is now only provider of DeepSeek V4 Pro 0813 on
@OpenRouter
11x cheaper than sonnet 5
35x cheaper than GPT-5.6 Sol
58x cheaper than fable
also available via GMI API key 👇
Louisa.g retweeted
Join us for a 3 hr hack on August 17th with @GoogleDeepMind and @ExaAILabs
Come moonlight with us! 🌙
Join @GoogleDeepMind, @ExaAILabs + some of our favourite AI companies for an exclusive AI hack lab in SF for top researchers, SWEs + technical founders.
The challenge: launch your side hustle in one night.
We will also have @DynamicWebPaige and more demoing!
Build with @GoogleDeepMind, @ExaDevelopers, @WorkOS , @convex_dev, @gmi_cloud, @photonhq, @mosaic_so, @Vapi_AI, @elevenlabsio, @adalagent + @apify.
Big prize pool, partner challenges + cash prizes on the night.
RSVP 🧵
Louisa.g retweeted
Deploy NVIDIA Nemotron 3.5 Lightning on GMI Cloud on Day 0!
Built for always-on agents, it’s a customizable 30B MoE model with 3B active parameters and a 1M-token context window.
Designed for fast, high-volume tasks across coding, tool calling, and multi-step workflows.
Available now with the GMI API key 👇
Louisa.g retweeted
this summer, we are bringing together friends, communities, and partners shaping the next chapter of generative AI
join us in SF on Aug. 24 for GMI Summer Signal ’26: The Modern Renaissance
Registration is now live 👇
Louisa.g retweeted
Kimi K3, day 0 on GMI.
Compared it with Opus 5: faster, cheaper.
Kimi is killing it!
Louisa.g retweeted
Crazy. Opus 5 outperformed Fable 5 on 3d modeling at 2/3 the price
We tested Opus 5, Fable 5, and GPT 5.6 Sol on the same prompt: build an explorable Japanese suburban street in Three.js, full 3D, rendered like a hand-drawn anime background. All on Max effort.
Opus 5 took the longest but delivered the most varied scenery: clean dark outlines, flat cel-shaded color bands, dense street details down to the vending machine signage.
Fable paid more attention to details, and while GPT 5.6 Sol was 3-4x cheaper and the fastest, but the render shows it: sparse, washed out, barely styled.
Opus 5: 1hr 21min · $26.7
Fable 5: 1hr 5min · $35
GPT 5.6 Sol: 41min · $7.1
Louisa.g retweeted
Qwen 3.8 Preview is quietly catching Kimi K3 on frontend + game design.And this is just the preview. Full 3.8 is going to be a beast.
We tested Qwen 3.8 Preview against Kimi K3 on 3D modeling and animation. Ran both through the same 3 prompts. Both on Max effort.
Qwen 3.8 Preview was dramatically faster across the board, 3-4x quicker on every test. Kimi K3 needed 2 hours on the final scene; Qwen wrapped it in 31 minutes.
Test 1 (Engine Sim)
Qwen 3.8 Preview: 25min
Kimi K3: 1hr 30min
Test 2 (Voxel Dino Printer)
Qwen 3.8 Preview: 8min
Kimi K3: 45min
Test 3 (Garden Scene)
Qwen 3.8 Preview: 31min
Kimi K3: 2hrs
Qwen3.8 is launching and going open-weight soon!🌐
With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.
You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out.
Can't wait to hear what you build. Stay tuned! 🚀
Token Plan
international:qwencloud.com/pricing/token-…
China:platform.qianwenai.com/prici…
Louisa.g retweeted
Hermes Agent v0.19.0: The Quicksilver Release
Changelog below
Hermes Agent v0.19.0: The Quicksilver Release
OFFICIALLY SAYING KIMI K3 IS BETTER THAN CLAUDE FABLE-5 AND GPT-5.6-SOL FOR FRONTEND DEVELOPMENT
Tried building a macOS-style UI for an AI operating system with Kimi K3.
This whole thing took about 15 minutes from a single prompt.
Louisa.g retweeted
Inkling isn't the American GLM 5.2, it's more like an American Kimi K2.7 +
we tested Inkling, GLM 5.2, and Kimi K2.7 by having each build three games from scratch: a Tetris variant, a zombie tank survival game, and a 3D gladiator arena
on visual output, GLM 5.2 came out strongest, with Inkling in second
on speed, Inkling beat GLM 5.2 in all three tests, finishing in 12–18 min while GLM took 25–32 min every time
but on cost, Inkling was pricier than GLM in 2 of 3 tests, and K2.7 was the cheapest
Test 1: Inkling / $1.05 vs. GLM 5.2 / $0.70 vs. Kimi K2.7 / $0.10
Test 2: Inkling / $0.96 vs. GLM 5.2 / $0.79 vs. Kimi K2.7 / $0.39
Test 3: Inkling / $0.98 vs. GLM 5.2 / $1.10 vs. Kimi K2.7 / $0.22
Today, we are introducing Inkling.
Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available.
thinkingmachines.ai/news/int…
Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵
Louisa.g retweeted
We tested Kimi K3 against Claude Fable 5 on 3D modeling and animation
Asked both to recreate the Millennium Falcon from Star Wars in 1) pixel style 2) original style. Both are on Max effort.
Kimi K3 took a bit longer than Fable 5 to generate, but came in ~1/3 cheaper on the 1st test, and less than half the cost on the 2nd.
Interestingly, Kimi K3 handled the details at the same level as Fable 5 on the original creation, yet it wasn't at Fable's level for the pixel style.
Test 1 (Pixel)
Kimi K3: 1hr 11min · $14.5
Fable 5: 49min · $21
Test 2 (Original)
Kimi K3: 1hr 17min · $19.3
Fable 5: 1hr 5min · $47.2
Louisa.g retweeted
GMI CloudがAIモデルの比較をし、興味深い結果が出ていました!
Claude Fable 5 / Sonnet 5 / Opus 4.8 / GLM 5.2
に同じ「アニメーション制作タスク」を投げて比較したところ、
クオリティではClaude Fable 5が圧勝だったそうです🎬✨
ただし、ここが重要。
Fable 5はすごい。
でも、Opus 4.8の約8倍コストが高い。
一方でGLM 5.2は、
一番安く使えるモデルとして紹介されていました。
つまり、AIモデル選びはもう
「一番賢いモデルを使えばOK」ではなくなってきています。
用途ごとに考える必要がある👇
✅ 最高品質のクリエイティブが必要
→ Fable 5
✅ ある程度の品質でコストも抑えたい
→ Opus / Sonnet系
✅ とにかく安く大量に回したい
→ GLM系
この使い分け、これからかなり大事になりそうです。
AI時代の勝ち筋は、
高性能モデルを知っていることではなく、
「どのタスクに、どのモデルを使うべきか」
を判断できること。
モデル選定そのものが、
もう立派なスキルになってきましたね🚀
Louisa.g retweeted
Grok 4.5 is now available to all GMI users
It uses half as many tokens per task, delivers higher tokens per second, and costs less than half as much as comparable models, at $2/M input and $6/M output tokens
Louisa.g retweeted
Join us and @kilocode next Thursday, July 16, for a live build session on
- Architect, Code + Debug agents in action
- Custom Mode built from scratch
- Share modes across your team
RSVP here: luma.com/gmicloud-j1i3?utm_s…
Louisa.g retweeted
watch a complete episode of behind the scene stories here: youtu.be/dd6-XeQGHsc?si=4Cj0…
Louisa.g retweeted
We are now one of the only two providers for Tencent Hunyuan Hy3 on @OpenRouter
75% cheaper input tokens. 27% cheaper output tokens. Higher cache hit rate.
open source🔥
GMI Cloudの公式アンバサダープログラム「Clouder」が公開されました🔥
実は私は日本人唯一の初期アンバサダーとして参加していました。
今回の一般公開、
AI動画・画像・ワークフロー構築を本気でやっている人にはかなり面白い内容だと思います。
特に、
・毎月のクレジット支援
・新機能への先行アクセス
・公式サイト掲載
・リファラル報酬
あたりはかなり大きい。
Developer Track / Creator Track の2種類があり、
世界で50人規模の募集とのこと。
リプ欄に応募リンクを貼っておくので
ぜひ応募してみてください👇






















