Shital Shah ✓

@sytelus · Redmond, WA · joined 22 Jul 2007

CEO and founder https://t.co/tTzeqS2PkF. Ex-Microsoft Research, Microsoft AI, Code infra lead Microsoft Phi models. If universe is an optimizer, what is its loss function?

14 382Followers

14 625Following

7 675Posts total

8.9KViews on collected posts

Neueste Beiträge

Shital Shah ✓@sytelus21 Sep

The biggest impact of mathematics won’t be the millennium problems but proofs in general software at the scale. I think all mainstream software will be verified by 2030. You likely won’t touch an unverified library. Some of the biggest hurdles such as formalization of specs 357 views · 1 likes · 0 reposts · 0 replies Open on X →

Shital Shah ✓@sytelus20 Sep

The most important open problems can be ranked using PageRank. Create graph of all open problems with dependencies as links and then compute PageRank. Top problems are the once which allows many others to get to resolution. 1.9K views · 14 likes · 0 reposts · 2 replies Open on X →

Shital Shah ✓@sytelus19 Sep

I now let ChatGPT on various customer support chats and have it do all the conversation to solve the problems. It does this job so nicely that actual human on other side never realizes they were actually talking to AI 😂. I am sure the guy on the other side thinks I am the most 713 views · 2 likes · 0 reposts · 0 replies Open on X →

Shital Shah ✓@sytelus19 Sep

US is unique among all countries for freedom of speech rights. This is one ingredient that allows feedback and course correction and allows the country to get out of local minima. Interestingly 7 other countries have similar freedom of speech protections but, unfortunately for 502 views · 5 likes · 0 reposts · 0 replies Open on X →

Shital Shah ✓@sytelus19 Jul

@sytelus https://t.co/turG2LXT78

46 views · 3 likes · 0 reposts · 0 replies Open on X →

Shital Shah ✓@sytelus19 Jul

@sytelus Few. 27 views · 0 likes · 0 reposts · 0 replies Open on X →

Shital Shah ✓@sytelus19 Jul

Patterns from data is first order thinking, patterns from reasoning is second order thinking. 5.4K views · 15 likes · 3 reposts · 2 replies Open on X →

Im Vergleich zu Konten gleicher Größe

7 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe502dieses Konto924Median für 10K–100K

Reichweite, %3.49%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.37%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	502	924	0.54×
Reichweite (Aufrufe ÷ Follower)	3.49%	3.62%	0.96×
Interaktionsrate	0.37%	1.52%	0.24×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

5.4K19 Jul

50219 Sep

713

1.9K20 Sep

35721 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

0.37%19 Jul

0.00%

6.52%

1.00%19 Sep

0.28%

0.85%20 Sep

0.28%21 Sep

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

What the audience does

Likes71.4%40 in total

Reposts5.4%3 in total

Replies7.1%4 in total

Bookmarks16.1%9 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.

Neueste Beiträge

Im Vergleich zu Konten gleicher Größe

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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