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Leopold Aschenbrenner ✓

@leopoldasch · San Francisco 🇺🇸 · joined 21 Jan 2015

https://t.co/XSH2wseW3E

294 702Followers
3 866Following
1 092Posts total
18.1MViews on collected posts

โพสต์ล่าสุด

@leopoldasch Guess who was hiding behind that tree? https://t.co/A8lbB1erFP 158.6K views · 4.6K likes · 46 reposts · 54 replies Open on X →
@leopoldasch SHE BOUGHT THE DIP ? 81K views · 2.9K likes · 9 reposts · 26 replies Open on X →
@leopoldasch mfer lost $45B and found love 67.3K views · 1.3K likes · 15 reposts · 14 replies Open on X →
The best day of my life. I love you ❤️ https://t.co/gp4t60hYpe 4.6M views · 41.7K likes · 910 reposts · 2.6K replies Open on X →
Self-recommending! 888K views · 1.2K likes · 76 reposts · 75 replies Open on X →
What is intelligence? What will it take to create AGI? What happens once we succeed? The Scaling Era: An Oral History of AI, 2019–2025 by @dwarkesh_sp and @gleech explores the questions animating those at the frontier of AI research. It’s out today: https://t.co/6GzEZyaggR http 1.6M views · 877 likes · 111 reposts · 24 replies Open on X →
https://t.co/9yRR3ceJHM 454.8K views · 1K likes · 68 reposts · 68 replies Open on X →
The “compressed 21st century”: a great essay on what it might look like to make 100 years of progress in 10 years post AGI (if all goes well). Favorite phrase: “a country of geniuses in a datacenter” 638.9K views · 1.3K likes · 130 reposts · 53 replies Open on X →
@leopoldasch I feel like these definitions and measures of intelligence are so so muddy. “High schooler”, “vastly superhuman” etc. Like one way I feel you can measure is, at what point will A) an AI match the performance of the best performing hedge fund run by humans: Medalli 183K views · 227 likes · 7 reposts · 20 replies Open on X →
Full series as PDF: https://t.co/sVfNoriSoW Read online: https://t.co/YrKqmElMG0 541K views · 1.9K likes · 294 reposts · 62 replies Open on X →
Virtually nobody is pricing in what's coming in AI. I wrote an essay series on the AGI strategic picture: from the trendlines in deep learning and counting the OOMs, to the international situation and The Project. SITUATIONAL AWARENESS: The Decade Ahead https://t.co/8NWDkTprj5 8.9M views · 13.4K likes · 1.8K reposts · 526 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 100K–1M ผู้ติดตาม แสดงไปไกลเกินผู้ติดตามของตัวเอง และผู้ชมก็ตอบสนอง.

ยอดดูมัธยฐาน119 788บัญชีนี้5 983ค่ามัธยฐานของ 100K–1M
การเข้าถึง, %40.65%บัญชีนี้1.49%ค่ามัธยฐานของ 100K–1M
การมีส่วนร่วม, %2.46%บัญชีนี้0.93%ค่ามัธยฐานของ 100K–1M
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 100K–1Mอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์119 7885 98320.0×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)40.65%1.49%27.3×
อัตราการมีส่วนร่วม2.46%0.93%2.65×

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

8.9M4 Jun
541K
183K
638.9K11 Oct
454.8K12 Aug
1.6M8 Oct
888K
4.6M7 Aug
67.3K
81K
158.6K

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

0.18%4 Jun
0.43%
0.14%
0.24%11 Oct
0.25%12 Aug
0.07%8 Oct
0.16%
1.00%7 Aug
1.97%
3.57%
2.95%

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

What the audience does

Likes67.2%70 355 in total
Reposts3.3%3 474 in total
Replies3.4%3 522 in total
Quotes1.2%1 273 in total
Bookmarks24.9%26 091 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.

บัญชีที่คล้ายกัน