Sakana AI ✓

@SakanaAILabs · Tokyo, Japan · joined 23 Nov 2010

Building Frontier AI in Japan Try Sakana Chat, Translate, Marlin, Namazu, Fugu 🐡 https://t.co/stLdPSz1Y7

139 946Followers

0Following

1 386Posts total

27.2MViews on collected posts

Latest posts

Sakana AI ✓@SakanaAILabs4 Sep

【イベント告知】 Sakana AI Engineer Open Houseを今年も開催します🐟 お申込みはこちら（締切：9/27） https://t.co/m1ZaARjSRO ・日時：2026年10月5日（月）18:00-21:00 ・場所：虎ノ門会場またはオンライン・内容：事業紹介（金融／防衛／Product）、社員・ジョブ紹介など・参加費：無料 47.2K views · 214 likes · 28 reposts · 4 replies Open on X →

Sakana AI ✓@SakanaAILabs3 Sep

Can a strong general-purpose vision model distinguish real from AI-generated images using only a simple decision rule on frozen representations? Our latest results, to be presented at #ECCV2026, show it can. Blog: https://t.co/VtFAm5kIKy Paper: https://t.co/9Q84QYhkum New image

GIF

17.2K views · 129 likes · 18 reposts · 5 replies Open on X →

Sakana AI ✓@SakanaAILabs3 Sep

意思決定が高速化する、AI時代の防衛とは Sakana AIで防衛領域を担当する菊池咲が、TBS CROSS DIG（@tbs_bloomberg）「1on1 Tech」に出演しました。 26.7K views · 107 likes · 23 reposts · 4 replies Open on X →

Sakana AI ✓@SakanaAILabs2 Sep

Sakana AI CTO Llion Jones and Research Scientist Kai Arulkumaran will give a talk on “Bridging the gap between Neuroscience and Machine Learning” at the #CiNet International Conference. Date: Oct 5-7, 2026 Place: Osaka, Japan https://t.co/5IkZMgJ3oC 🐟 https://t.co/NCPyMOzsV8

15.2K views · 70 likes · 9 reposts · 3 replies Open on X →

Sakana AI ✓@SakanaAILabs30 Jul

Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes https://t.co/T5jlKsfxnP 5.9K views · 22 likes · 1 reposts · 1 replies Open on X →

Sakana AI ✓@SakanaAILabs29 Jul

@SakanaAILabs @nyuniversity again 3 years too late https://t.co/pRNxfAmBJx 2K views · 14 likes · 1 reposts · 0 replies Open on X →

Sakana AI ✓@SakanaAILabs29 Jul

We are excited to share our latest work, together with @nyuniversity: "Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes." Blog: https://t.co/Ys3OLCNqfM Paper: https://t.co/T5jlKsfxnP Code: https://t.co/ufKyBP7bG3 Generative AI has made 214.6K views · 832 likes · 105 reposts · 24 replies Open on X →

Sakana AI ✓@SakanaAILabs20 Jul

“In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models” won the Best Paper Award in the Complex Systems track at #GECCO2026. Congratulations to the co-authors, and thanks to our collaborators!! Blog: https://t.co/JEM79vjA2W 🦎 h 10K views · 59 likes · 7 reposts · 1 replies Open on X →

Sakana AI ✓@SakanaAILabs12 Jul

This is our attempt to recreate the Picbreeder Experiment (2008) with AI agents: https://t.co/lYICnepPH8 Here, we populate an homage to the original site with CPPN-images bred by VLMs over the course of our experiments. All images can be branched, rated, and inspected. https:// 13.6K views · 27 likes · 2 reposts · 4 replies Open on X →

Sakana AI ✓@SakanaAILabs10 Jul

@SakanaAILabs Very interesting 1.4K views · 11 likes · 0 reposts · 1 replies Open on X →

Sakana AI ✓@SakanaAILabs10 Jul

The AI Picbreeder Experiment: Can AI agents be creative when nobody tells them what to create? Blog: https://t.co/8kCjQ5A6Pz In our new #GECCO2026 paper, "In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models", in https://t.c 205.6K views · 694 likes · 121 reposts · 30 replies Open on X →

Sakana AI ✓@SakanaAILabs22 Jun

Introducing Sakana Fugu: A full multi-agent orchestration system accessible via a single model API. Our ‘Fugu Ultra’ model matches the performance of Fable and Mythos, delivering frontier capability without the risk of export controls. Try it: https://t.co/aDEFyySWlS 🐡 https://

GIF

26.5M views · 38K likes · 5.9K reposts · 1.2K replies Open on X →

Sakana AI ✓@SakanaAILabs29 Mar

@Nature @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru @jeffclune Towards end-to-end automation of AI research https://t.co/rvS3cyaTYS 4K views · 12 likes · 0 reposts · 0 replies Open on X →

Sakana AI ✓@SakanaAILabs26 Mar

@Nature @_chris_lu_ @cong_ml @RobertTLange @_yutaroyamada @shengranhu @j_foerst @hardmaru @jeffclune The full Nature paper is open access. For those interested in more details, you can read the PDF directly here: https://t.co/KHbsarYspN We also released the code for both AI Scie

32.8K views · 268 likes · 46 reposts · 3 replies Open on X →

Sakana AI ✓@SakanaAILabs26 Mar

One of the most exciting findings in our @Nature paper is the discovery of a clear scaling law of AI science. By using our Automated Reviewer to grade papers generated by different foundation models, we observed that as the underlying models improve, the quality of the generated

35.9K views · 209 likes · 30 reposts · 2 replies Open on X →

Sakana AI ✓@SakanaAILabs25 Mar

@SakanaAILabs What's the validation process like for ensuring the research methodology stays rigorous when the AI is essentially peer-reviewing its own work? That seems like the trickiest part to get right. 3.5K views · 11 likes · 0 reposts · 1 replies Open on X →

Sakana AI ✓@SakanaAILabs12 Sep 2023

🚀 Introducing WorldModel! A passion project I crafted up in just two days. Aiming to assist and inspire many. 🌍 #Minecraft #ML #MachineLearning https://t.co/t88F79CS5I 113K views · 102 likes · 3 reposts · 5 replies Open on X →

Against accounts of the same size

7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.

Median views17 182this account5 983median for 100K–1M

Reach, %12.28%this account1.49%median for 100K–1M

Engagement, %0.55%this account0.93%median for 100K–1M

Metric	This account	Median for 100K–1M	Ratio
Median views per post	17 182	5 983	2.87×
Reach (views ÷ followers)	12.28%	1.49%	8.24×
Engagement rate	0.55%	0.93%	0.59×

Others in this range → Compare with another account → How these benchmarks are built →

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

32.8K26 Mar

4K29 Mar

26.5M22 Jun

205.6K10 Jul

1.4K

13.6K12 Jul

10K20 Jul

214.6K29 Jul

5.9K30 Jul

15.2K2 Sep

26.7K3 Sep

17.2K

47.2K4 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

0.97%26 Mar

0.30%29 Mar

0.19%22 Jun

0.43%10 Jul

0.84%

0.24%12 Jul

0.68%20 Jul

0.46%29 Jul

0.75%

0.41%30 Jul

0.55%2 Sep

0.51%3 Sep

0.90%

0.55%4 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes49.1%40 747 in total

Reposts7.6%6 306 in total

Replies1.6%1 288 in total

Quotes4.8%3 963 in total

Bookmarks36.9%30 643 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.