Devi Parikh ✓

@deviparikh · San Francisco, CA · joined 08 Jun 2009

Co-CEO @yutori_ai. https://t.co/zD3StYi8db. Previously: Senior Director, GenAI & FAIR at Meta, Associate Professor at Georgia Tech.

27 713Followers

155Following

4 688Posts total

810.9KViews on collected posts

Posts recentes

Devi Parikh ✓@deviparikh14 Sep

Computer-use in 2026 "What's left? The obvious answer is longer tasks. More steps, more hours. An agent that clicks for longer. I think this is the wrong answer, ..." "They can code. They can click. They can't choose." "Choosing has to be trained, and it can only be trained 1.9K views · 7 likes · 0 reposts · 4 replies Open on X →

Devi Parikh ✓@deviparikh14 Sep

https://t.co/hjAJBn0mMp 2.5K views · 12 likes · 3 reposts · 0 replies Open on X →

Devi Parikh ✓@deviparikh11 Sep

Karl: what did I miss? 1.2K views · 1 likes · 0 reposts · 0 replies Open on X →

Devi Parikh ✓@deviparikh11 Sep

@deviparikh local computer-use is wild, love this 85 views · 1 likes · 0 reposts · 0 replies Open on X →

Devi Parikh ✓@deviparikh11 Sep

n2 can drive your Mac! Use Yutori's MCP to run our latest Navigator computer-use model locally. Here it is in iMovie, cutting a quick video recap from our recent event. https://t.co/QBAYHs91qn

2:14

4K views · 27 likes · 5 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh10 Sep

Horsepower helped us communicate the value add of a new technology (steam engines) relative to a familiar status quo (workhorses). What's that unit of measurement for agents? 983 views · 4 likes · 1 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh10 Sep

Excited to have my Mousepower talk live on @aiDotEngineer's YT channel (link below), but I have retrospective thoughts on this topic & here is what I'd change if I gave the talk again today: 1. Thesis wasn't stated simply enough: value of agents is limited by our ability to https

2.8K views · 6 likes · 2 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

@deviparikh Great job, team! Congrats on the launch! 1.7K views · 9 likes · 0 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

We’ve benchmarked n2 on long-horizon, real-world, computer-use tasks that require driving graphical and command-line interfaces across Linux and MacOS. More details in our blog post. https://t.co/eqVgSe7f9Q 4.6K views · 25 likes · 1 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

Take it for a spin at https://t.co/qzO0i20H7Q 2.5K views · 20 likes · 0 reposts · 1 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

It significantly advances the cost-accuracy Pareto front. https://t.co/y85UMFhFlK

4.9K views · 51 likes · 3 reposts · 3 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

And it's built from the ground up to intelligently interleave every native computer interface — GUIs, CLIs, short snippets of code — whatever it takes to get a task done quickly. https://t.co/iIGbjb4Xr7

1:07

3.4K views · 33 likes · 3 reposts · 3 replies Open on X →

Devi Parikh ✓@deviparikh26 Aug

Today we’re introducing Navigator n2. It’s a frontier computer-use model, with just 27B parameters. https://t.co/8MiJNtk3CD

2:02

780.4K views · 905 likes · 72 reposts · 50 replies Open on X →

Em comparação com contas do mesmo porte

13 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações2 520esta conta924mediana para 10K–100K

Alcance, %9.09%esta conta3.62%mediana para 10K–100K

Engajamento, %0.61%esta conta1.52%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	2 520	924	2.73×
Alcance (visualizações ÷ seguidores)	9.09%	3.62%	2.51×
Taxa de engajamento	0.61%	1.52%	0.40×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

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

780.4K26 Aug

3.4K

4.9K

2.5K

4.6K

1.7K

2.8K10 Sep

983

4K11 Sep

1.2K

2.5K14 Sep

1.9K

Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.14%26 Aug

1.15%

1.17%

0.85%

0.60%

0.36%10 Sep

0.61%

0.87%11 Sep

1.18%

0.09%

0.63%14 Sep

0.56%

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

What the audience does

Likes60.6%1 101 in total

Reposts5.0%90 in total

Replies3.6%66 in total

Quotes2.1%38 in total

Bookmarks28.7%521 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.

Posts recentes

Em comparação com contas do mesmo porte

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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