Walden ✓

@walden_yan · joined 12 Nov 2020

I sometimes code @cognition

14 276Followers

726Following

989Posts total

1.3MViews on collected posts

Derniers posts

Walden ✓@walden_yan1 Sep

Fable cheaper than Opus -- what a crazy upset Cost improvements across Devin today 6.2K views · 65 likes · 1 reposts · 4 replies Open on X →

Walden ✓@walden_yan1 Sep

Introducing Fable 5.1 in Devin Fable-level intelligence is now 54% cheaper – making it even cheaper than Opus – due to a change in caching. Devin’s Fusion harness is now even smarter and cheaper than before, matching Fable 5.1 on FrontierCode at 47% lower cost. Here's how: http 206K views · 1.1K likes · 77 reposts · 68 replies Open on X →

Walden ✓@walden_yan31 Aug

Minor detail: I spent an embarrassing amount of time trying different harnesses for intelligent range detection and line folding Users don’t even notice it because it’s designed to be hidden. Until they go back to GitHub https://t.co/jwRNkJCR2J 258.2K views · 255 likes · 8 reposts · 4 replies Open on X →

Walden ✓@walden_yan31 Aug

smart diffs on @DevinAI is very very good, im surprised more agent harness companies have not done this as well. 18.9K views · 35 likes · 1 reposts · 0 replies Open on X →

Walden ✓@walden_yan30 Aug

Cool $1M initiative to make AI mathematics progress Excited to be supporting from @cognition 16.6K views · 93 likes · 6 reposts · 1 replies Open on X →

Walden ✓@walden_yan30 Aug

A few @Caltech friends and I are hosting the first math hackathon with frontier labs/startups. We're giving $1M+ of compute to 100 teams to solve the hardest open problems -- competitors range from IMO golds to frontier/neolab folks to math PhDs/profs. DM me if your company 139.1K views · 550 likes · 60 reposts · 32 replies Open on X →

Walden ✓@walden_yan28 Aug

Come work with us! 8.8K views · 101 likes · 0 reposts · 3 replies Open on X →

Walden ✓@walden_yan23 Apr

@walden_yan You should never share context with agents and agents should never communicate. You should issue commands to temporary subagents that contain reference docs and files, and that is also what the subagents should return. I've been building this since December. 2.8K views · 12 likes · 1 reposts · 2 replies Open on X →

Walden ✓@walden_yan22 Apr

@walden_yan While I appreciate how deep you went into all of this, there is one important thing to note: There is severe degradation when main agent passes on instructions to a subagent. But not because of an incorrectly set up system - I would argue most SOTA models will do f 2K views · 12 likes · 0 reposts · 1 replies Open on X →

Walden ✓@walden_yan22 Apr

@walden_yan it is a bad idea to make smaller model ask a smarter model. you will get: wrong trajectories, wasteful tokens spend of the bigger model, wrong questions, etc 926 views · 3 likes · 0 reposts · 0 replies Open on X →

Walden ✓@walden_yan22 Apr

https://t.co/iY0G5ieQhJ 644.9K views · 1.6K likes · 190 reposts · 28 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. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes18 933ce compte924médiane pour 10K–100K

Portée, %132.62%ce compte3.62%médiane pour 10K–100K

Engagement, %0.61%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	18 933	924	20.5×
Portée (vues ÷ abonnés)	132.62%	3.62%	36.6×
Taux d'engagement	0.61%	1.52%	0.40×

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

644.9K22 Apr

926

2.8K23 Apr

8.8K28 Aug

139.1K30 Aug

16.6K

18.9K31 Aug

258.2K

206K1 Sep

6.2K

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

0.29%22 Apr

0.32%

0.65%

0.54%23 Apr

1.18%28 Aug

0.48%30 Aug

0.61%

0.20%31 Aug

0.11%

0.64%1 Sep

1.14%

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

What the audience does

Likes43.8%3 861 in total

Reposts3.9%344 in total

Replies1.6%143 in total

Quotes1.5%133 in total

Bookmarks49.2%4 337 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.

Comptes similaires

Frequently asked questions about @walden_yan

How many followers does @walden_yan have?

14 276 followers.

How many posts has @walden_yan published?

989 posts.

How do posts by @walden_yan perform?

Collected posts: 11. Views: 1 304 522. Likes: 3 861.