Kimi.ai
@Kimi_Moonshot · joined 03 Dec 2024
Built by Moonshot AI to empower everyone to be superhuman. PR: globalpr@moonshot.ai DC: https://t.co/wBsBTn6fmE
363 688Followers
137Following
455Posts total
64.3MViews on collected posts
Derniers posts
Recherche de nouveaux posts…
Remote Control is now live in Kimi Work.
Leave Kimi Work running on your computer and keep things moving from your phone. Work anywhere, anytime with Kimi Work. https://t.co/L1aFNfxq9Z
45.7K views · 711 likes
· 56 reposts · 63 replies
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0:37
Kimi Work for Financial Analysts - Tutorial #2
Use Kimi Work for 3 common investment research tasks:
- Build a live investor dashboard
- Update financial models in spreadsheet
- Process and generate reports in batch
Stay tuned for more Kimi Work workflows! https://t.co/nnvBnapq
93.7K views · 1.2K likes
· 74 reposts · 91 replies
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2:45
Kimi K3 is now live on @databricks! https://t.co/wo5FGV8kzz
126.4K views · 1.2K likes
· 60 reposts · 51 replies
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Moonshot AI's latest open-weight model, Kimi K3, is now available on Databricks through Unity AI Gateway. @Kimi_Moonshot
Run Kimi K3 where your data already lives - governed, secure, and ready for custom AI apps and agents built with the data in your Lakehouse.
Unity AI https:
138.8K views · 131 likes
· 21 reposts · 9 replies
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Build Slides with Kimi Work - Tutorial #1.
Kimi Slides handles the entire slide-building process:
- Clear structure and research, powered by Kimi K3
- Cohesive design, including polished charts and SmartArts
- Editable and ready to download
Let us know what you'd like to see ht
214.1K views · 2.9K likes
· 232 reposts · 168 replies
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2:03
@Kimi_Moonshot Count me in — but can I apply on behalf of a 9-year-old? 😅
I used Kimi to build my son Leo a picture-book teaching 30 AI concepts (LLM, Token, Agent, MCP) across 4 chapters. Swipe, play, quiz, badge.
Is there an age limit for Ambassadors? Asking for Leo.
👉 https
1.5K views · 13 likes
· 0 reposts · 0 replies
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1:55
It takes a crew to land a moonshot. Join the Kimi Ambassador Program.
Anyone who's turned an untested idea into reality knows: moonshots are never a solo mission. It takes a crew.
The Kimi Global Ambassador Program finds likeminded individuals on the same path, bringing the htt
242.6K views · 2.4K likes
· 194 reposts · 193 replies
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@Kimi_Moonshot it's gonna fit trust me https://t.co/N7MvExlXkF
123.2K views · 3K likes
· 72 reposts · 26 replies
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@Kimi_Moonshot yo dario https://t.co/ooOxMGJPmb
58.4K views · 1.4K likes
· 8 reposts · 4 replies
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@Kimi_Moonshot Amazing thank you for supporting the open-source community!
We'll try our best to make Kimi work locally and hopefully we will get smaller Kimi models! 🥰🙏
117.2K views · 1.8K likes
· 41 reposts · 33 replies
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Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside h
14.5M views · 46K likes
· 7.2K reposts · 1.5K replies
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@Kimi_Moonshot Kimi entering the market : https://t.co/zXgGZMM9N3
37.4K views · 422 likes
· 11 reposts · 3 replies
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0:18
@Kimi_Moonshot https://t.co/KM5tgJ7EUv
107.4K views · 3.9K likes
· 98 reposts · 4 replies
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Full tech blog at:
https://t.co/Fn6y42a0d9
248.6K views · 887 likes
· 39 reposts · 18 replies
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Kimi K3 combines strong 3D reasoning, coding, and vision capabilities to turn concepts, images, and videos into fully playable interactive experiences.
Kimi K3 achieves true "vision in the loop" by seamlessly iterating between code and live screenshots https://t.co/E9nw6yivcT
346.1K views · 2.1K likes
· 113 reposts · 30 replies
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0:18
Self-evolving: AttnRes Kernel Optimization
Given FLA Triton AttnRes at production scale (96 layers, 8192-dim model, 8192 tokens), the goal was to maximize training-side speed without changing numerics.
Over 15 hours of nonstop iteration, K3 designed a novel two-phase kernel ht
342.5K views · 1.4K likes
· 104 reposts · 12 replies
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Internal knowledge work bench
Beyond public benchmarks, Kimi K3 Max also shows consistent gains on our internal benchmarks, which are built from recurring patterns and challenges in real-world user-agent workflows.
It scores 75.5 on Online Exp Bench, 73.5 on DECK-Bench, and ht
357.4K views · 1.4K likes
· 70 reposts · 9 replies
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K3 is built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), two architectural updates designed to improve how information flows across sequence length and model depth.
We have also scaled up Mixture of Experts (MoE) sparsity, effectively activating 16 out of ht
524.8K views · 2.7K likes
· 163 reposts · 21 replies
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Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional htt
25.5M views · 57.2K likes
· 7.6K reposts · 1.7K replies
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@Kimi_Moonshot god knows how hard to keep my mouth shut!!!
30.9K views · 582 likes
· 2 reposts · 18 replies
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Meet Kimi K3 https://t.co/ou00Av3VoS
10.4M views · 30.5K likes
· 2.7K reposts · 746 replies
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0:56
🔗 Weights & code: https://t.co/DvAKMMcTjz
129.5K views · 865 likes
· 69 reposts · 11 replies
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🎸 We're also launching the Kimi Code Beta Program today. Apply now if you'd like to try upcoming models and features before public release 👉 https://t.co/ArGpJcaYma https://t.co/oEdbDu1Ge4
93.1K views · 526 likes
· 25 reposts · 27 replies
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🌘 Kimi-K2.7-Code, our latest coding model, is now released and open-sourced!
🔷 Improved coding & agent performance over K2.6: +21.8% on Kimi Code Bench v2, +11.0% on Program Bench, and +31.5% on MLS Bench Lite.
🔷 Reasoning efficiency: Less overthinking, with 30% lower https://t.
2.7M views · 13.9K likes
· 1.7K reposts · 649 replies
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@Kimi_Moonshot waiting for composer 3 by cursor now 🫣 https://t.co/4BK2hBT6W1
29.8K views · 658 likes
· 7 reposts · 4 replies
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@Kimi_Moonshot Congrats guys on another epic open-source release! 🔥
We're working on Kimi-K2.6 Dynamic GGUFs so folks can run it locally (if you have enough compute): https://t.co/nK6TkXRITf
80.8K views · 860 likes
· 58 reposts · 18 replies
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Face aux comptes de taille comparable
5 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé bien au-delà de son propre public, et ce public réagit.
Vues médianes126 449ce compte5 983médiane pour 100K–1M
Portée, %34.77%ce compte1.49%médiane pour 100K–1M
Engagement, %1.45%ce compte0.93%médiane pour 100K–1M
| Indicateur | Ce compte | Médiane pour 100K–1M | Rapport |
|---|---|---|---|
| Vues médianes par post | 126 449 | 5 983 | 21.1× |
| Portée (vues ÷ abonnés) | 34.77% | 1.49% | 23.3× |
| Taux d'engagement | 1.45% | 0.93% | 1.56× |
Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
37.4K16 Jul
14.5M27 Jul
117.2K
58.4K
123.2K
242.6K28 Jul
5.4K
1.2K
1.5K
214.1K3 Aug
138.8K6 Aug
126.4K11 Aug
93.7K19 Aug
45.7K9 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.16%16 Jul
0.39%27 Jul
1.65%
2.47%
2.55%
1.18%28 Jul
0.28%
1.00%
0.86%
1.57%3 Aug
0.12%6 Aug
1.07%11 Aug
1.45%19 Aug
1.82%9 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes68.0%179 756 in total
Reposts7.9%20 759 in total
Replies2.1%5 495 in total
Quotes2.7%7 040 in total
Bookmarks19.4%51 140 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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