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K. VijayRaghavan ✓

@kvijayraghavan · Bangalore · joined 31 Mar 2009

Developmental Biologist. Tweeting here in my personal capacity.

26 411Followers
3 319Following
7 241Posts total
290.2KViews on collected posts

โพสต์ล่าสุด

Key points from a discussion “ Can LLMs reach AGI—and genuine explanatory creativity? A discussion at Oxford Physics with David Deutsch, Adam Brown, Nick Bostrom, Vedika Khemani, Roger Myerson, Rahul Nandkishore, Toby Ord, Martin Rees, Anders Sandberg, Umesh Vazirani & K. 2.4K views · 22 likes · 3 reposts · 1 replies Open on X →
Can LLMs reach AGI—and genuine explanatory creativity? A discussion at Oxford Physics with David Deutsch, Adam Brown, Nick Bostrom, Vedika Khemani, Roger Myerson, Rahul Nandkishore, Toby Ord, Martin Rees, Anders Sandberg, Umesh Vazirani & K. VijayRaghavan https://t.co/JxD7fL0N8Q 27.9K views · 107 likes · 29 reposts · 6 replies Open on X →
David Deutsch on dishwashers AI, and GDP. His important and interesting conclusion: “.The main economic indicator is structurally incapable of registering the thing that actually makes people better off, namely the growth of knowledge” 1.8K views · 13 likes · 2 reposts · 0 replies Open on X →
“In this modern era of heavy AI, it is important to remember what it is like to be a child” Terence Tao says it exquisitely. Read his post below, via Gary Marcus @GaryMarcus 3.8K views · 54 likes · 17 reposts · 3 replies Open on X →
Terence Tao continues to bring the🔥, day after day! https://t.co/srqXdbclK3
246.9K views · 2.3K likes · 347 reposts · 49 replies Open on X →
Fascinating clip: early thoughts on machines and ‘thinking’, from 1962, from a person who led these ideas, Warren McCulloch. @anilananth you must have seen this. 4.6K views · 46 likes · 0 reposts · 2 replies Open on X →
Shivaji Sondhi and I write about how we can get undergraduates prepared for an uncertain future. https://t.co/p8172jqXrX 2.8K views · 41 likes · 10 reposts · 4 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

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

ยอดดูมัธยฐาน3 816บัญชีนี้924ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %14.45%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %1.07%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์3 8169244.13×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)14.45%3.62%3.99×
อัตราการมีส่วนร่วม1.07%1.52%0.70×

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

2.8K19 Aug
4.6K7 Sep
246.9K10 Sep
3.8K11 Sep
1.8K12 Sep
27.9K
2.4K13 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.94%19 Aug
1.05%7 Sep
1.10%10 Sep
1.94%11 Sep
0.83%12 Sep
0.51%
1.07%13 Sep

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

What the audience does

Likes83.0%2 602 in total
Reposts13.0%408 in total
Replies2.1%65 in total
Bookmarks1.9%59 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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