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

Derniers posts

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 →

Face aux comptes de taille comparable

7 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. portée ordinaire pour sa taille, réaction plus faible que la moyenne.

Vues médianes502ce compte924médiane pour 10K–100K

Portée, %3.49%ce compte3.62%médiane pour 10K–100K

Engagement, %0.37%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	502	924	0.54×
Portée (vues ÷ abonnés)	3.49%	3.62%	0.96×
Taux d'engagement	0.37%	1.52%	0.24×

Autres comptes de cette tranche → Comparer avec un autre compte → Comment ces repères sont établis →

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.

Derniers posts

Face aux comptes de taille comparable

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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