Sasha Malysheva ✓

@aimalysheva

Building @mostik_ai PhD in RL · ex-DeepMind, Google X · SPC

6 345Followers

672Following

1 002Posts total

2MViews on collected posts

Postingan terbaru

Sasha Malysheva ✓@aimalysheva3 Sep

@aimalysheva @mostik_ai How do you plan to handle risks if agents communicate on non natural language? 1.5K views · 32 likes · 0 reposts · 1 replies Open on X →

Sasha Malysheva ✓@aimalysheva3 Sep

@aimalysheva @mostik_ai somewhat similar to this? https://t.co/lAAf9FdJ1R 6.8K views · 28 likes · 1 reposts · 1 replies Open on X →

Sasha Malysheva ✓@aimalysheva3 Sep

@aimalysheva @mostik_ai Very interesting! Originally had this idea with my Mixture of Thoughts paper https://t.co/HyHyiXCRi6 7.8K views · 55 likes · 1 reposts · 1 replies Open on X →

Sasha Malysheva ✓@aimalysheva2 Sep

@aimalysheva @mostik_ai This is fucking insane! Are you saying I can get 700B model intelligence just by running it locally on my phone? 5.4K views · 26 likes · 0 reposts · 4 replies Open on X →

Sasha Malysheva ✓@aimalysheva2 Sep

meet @mostik_ai! what happens when you put 12 PhDs in one room for four months? first place on the ARC-AGI leaderboard, which I can't say much about while the competition is still running. and this, which I can. everyone's arguing about whether open models will catch up to http

1.3M views · 2.4K likes · 260 reposts · 293 replies Open on X →

Sasha Malysheva ✓@aimalysheva10 Apr

Introducing Latent Briefing, a way for agents to quickly share their relevant memory directly. Result: 31% fewer tokens used, same accuracy. Multi-agent systems are powerful, but can be wildly inefficient. They pass context as tokens, so costs explode and signal gets lost. We ht

0:31

682K views · 1.8K likes · 94 reposts · 39 replies Open on X →

Dibandingkan akun berukuran sama

5 postingan dari 90 hari terakhir, dibandingkan dengan rentang under 10K pengikut. di bawah akun sekelasnya baik pada jangkauan maupun interaksi.

Median tayangan6 758akun ini4 175median untuk under 10K

Jangkauan, %106.51%akun ini250.82%median untuk under 10K

Interaksi, %0.56%akun ini1.41%median untuk under 10K

Metrik	Akun ini	Median untuk under 10K	Rasio
Median tayangan per postingan	6 758	4 175	1.62×
Jangkauan (tayangan ÷ pengikut)	106.51%	2.5× audience	0.42×
Tingkat interaksi	0.56%	1.41%	0.40×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

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

682K10 Apr

1.3M2 Sep

5.4K

7.8K3 Sep

6.8K

1.5K

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.29%10 Apr

0.26%2 Sep

0.56%

0.73%3 Sep

0.44%

2.13%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes48.8%4 349 in total

Reposts4.0%356 in total

Replies3.8%339 in total

Quotes3.5%312 in total

Bookmarks39.9%3 562 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.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

Akun serupa