Julien Barbier 🙃❤️🏴‍☠️ ✓

@jbarbier · /etc/init.d · joined 13 Dec 2008

Visibilia ex invisibilibus

77 504Followers

3 504Following

33 610Posts total

11KViews on collected posts

โพสต์ล่าสุด

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier19 Sep

Our first @CyberiadLabs class finished week 1, and I've spent the evening reading all learners’ feedback. I am so proud of them. This week they learned what a model is and how it is created, and by now they are telling us they'll check every answer a chatbot gives them from now h

1.8K views · 25 likes · 3 reposts · 1 replies Open on X →

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier17 Sep

@jbarbier @CyberiadLabs The course has been so enlightening. Learning the difference between a Model and AI, parameters, tokens, pre training etc. has been quite eye-opening. 185 views · 3 likes · 2 reposts · 1 replies Open on X →

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier17 Sep

Day 4 at @CyberiadLabs. Did you know? 💵 "finding out that every time I ask a new question in the same chat I am resending the entire conversation to the model and each new interaction costs more than the previous one is really eye opening." - Joe, learner in class 1 of intro to 2.3K views · 9 likes · 1 reposts · 1 replies Open on X →

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier17 Sep

Day 4 at @CyberiadLabs 🤗 : "Learning about temperature made me realize that there are things happening behind the scenes that I don’t even see. I used to think that if I asked AI the same question, I would always get the same answer or the most accurate one. Now I understand 2.1K views · 24 likes · 4 reposts · 1 replies Open on X →

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier16 Sep

Today a learner found a bug on @CyberiadLabs's intranet. 10 minutes after it was reported on Discord, it was fixed. @YoussefCharifH2, the bug killer 😎 2.6K views · 39 likes · 1 reposts · 0 replies Open on X →

Julien Barbier 🙃❤️🏴‍☠️ ✓@jbarbier16 Sep

Today is Day 3, and I am already so proud of our learners 🤗: “[…] What stood out to me today is that an AI model can only learn from what it is exposed to. Before this lesson, I didn’t really think about how much the training data could shape the way an AI responds. For 2K views · 27 likes · 6 reposts · 1 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

6 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีขนาดเดียวกัน.

ยอดดูมัธยฐาน2 091บัญชีนี้999ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %2.70%บัญชีนี้3.88%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.61%บัญชีนี้1.53%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	2 091	999	2.09×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	2.70%	3.88%	0.70×
อัตราการมีส่วนร่วม	1.61%	1.53%	1.05×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

2K16 Sep

2.6K

2.1K17 Sep

2.3K

185

1.8K19 Sep

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.71%16 Sep

1.57%

1.36%17 Sep

0.48%

3.24%

1.66%19 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes79.9%127 in total

Reposts10.7%17 in total

Replies3.1%5 in total

Quotes1.3%2 in total

Bookmarks5.0%8 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.

โพสต์ล่าสุด

เทียบกับบัญชีขนาดเดียวกัน

Growth & engagement

Views per post

Engagement rate per post

What the audience does

บัญชีที่คล้ายกัน