jimmah ✓

@jamesdouma · joined 14 Mar 2009

deep learning dork

61 636Followers

245Following

10 789Posts total

916.5KViews on collected posts

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jimmah ✓@jamesdouma17 Sep

The most dreaded phrase in machine learning https://t.co/ICz900raM2

7.4K views · 124 likes · 2 reposts · 10 replies Open on X →

jimmah ✓@jamesdouma16 Sep

Anthropomorphization amplifies AI safety risks https://t.co/JzNebPm7ZO 6.6K views · 58 likes · 4 reposts · 10 replies Open on X →

jimmah ✓@jamesdouma13 Sep

@jamesdouma I remember when you were on the Tesla YouTuber influencer circuit in 2020 talking about how close FSD was lmao. What a charlatan. 44 views · 2 likes · 0 reposts · 0 replies Open on X →

jimmah ✓@jamesdouma13 Sep

@jamesdouma Close one 122.1K views · 1.1K likes · 89 reposts · 172 replies Open on X →

jimmah ✓@jamesdouma13 Sep

@jamesdouma Consider this is a virtual reality. Whoever is running it is nudging it in the right direction out of its best interests. That’s why there has been no inhalation via nuclear wars, pandemics, meteor, natural disaster and so on. We’ll be fine. 922 views · 4 likes · 0 reposts · 2 replies Open on X →

jimmah ✓@jamesdouma13 Sep

Makes sense actually. Humanity needs a mix of “live on your knees” and“die on your feet” if it’s going to survive. 126.9K views · 345 likes · 16 reposts · 32 replies Open on X →

jimmah ✓@jamesdouma12 Sep

If you happen to be at an e/a & e/acc mixer, here's a conversation starter for you: what are the important components of your p(doom) / p(dystopia)? https://t.co/LI9VHyI8Wa 6K views · 33 likes · 0 reposts · 3 replies Open on X →

jimmah ✓@jamesdouma12 Sep

Jonestown was a narrative that inoculated the US public against zealotry. As a meme it was pretty long lasting but it’s worn off now and we are once again weak against the perils of apocalyptic prophesies. https://t.co/wkB2GSr3rb 10K views · 89 likes · 4 reposts · 12 replies Open on X →

jimmah ✓@jamesdouma11 Sep

@jamesdouma Surprisingly close 246.7K views · 2.6K likes · 130 reposts · 348 replies Open on X →

jimmah ✓@jamesdouma11 Sep

Man, this is a really interesting result (so far) 14.4K views · 129 likes · 2 reposts · 12 replies Open on X →

jimmah ✓@jamesdouma11 Sep

Choose 1 375.3K views · 690 likes · 60 reposts · 216 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

11 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน10 047บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %16.30%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %1.05%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	10 047	924	10.9×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	16.30%	3.62%	4.50×
อัตราการมีส่วนร่วม	1.05%	1.52%	0.69×

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

375.3K11 Sep

14.4K

246.7K

10K12 Sep

126.9K13 Sep

922

122.1K

6.6K16 Sep

7.4K17 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.26%11 Sep

0.99%

1.24%

1.06%12 Sep

0.60%

0.31%13 Sep

0.65%

1.11%

4.55%

1.09%16 Sep

1.84%17 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes78.4%5 118 in total

Reposts4.7%307 in total

Replies12.5%817 in total

Quotes0.9%56 in total

Bookmarks3.5%231 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