Graham Neubig ✓

@gneubig · Pittsburgh, PA · joined 02 Sep 2010

Associate professor @LTIatCMU. Co-founder/chief scientist @OpenHandsDev. I mostly work on modeling language.

46 776Followers

794Following

4 889Posts total

547.8KViews on collected posts

Derniers posts

Graham Neubig ✓@gneubig11 Sep

Today at CMU, we're having a talk by Hector Liu (@waterluffy), director at @IFM_AI, which has trained the strongest fully open language model, K2 Horizon! If you're at or around CMU please feel free to join! https://t.co/mPVsL0kVgj 5.3K views · 95 likes · 8 reposts · 3 replies Open on X →

Graham Neubig ✓@gneubig10 Sep

This is an impressively thorough look into what seems to be a covert, coordinated, and highly successful operation to advocate for strict AI regulation. 8.6K views · 63 likes · 3 reposts · 3 replies Open on X →

Graham Neubig ✓@gneubig8 Sep

Connecting the dots, does this mean that after Navier Stokes, OpenAI is training GPT-7 to play pickleball next? https://t.co/oJJKN2Y7Cz

3.3K views · 14 likes · 0 reposts · 0 replies Open on X →

Graham Neubig ✓@gneubig8 Sep

Videos are being posted here! - Thread: https://t.co/lMW8WHfh93 - YouTube Playlist: https://t.co/HAJgKXve0x 1.6K views · 4 likes · 2 reposts · 0 replies Open on X →

Graham Neubig ✓@gneubig8 Sep

We started to post videos for CMU 11-768, AI Agents! All of the videos will be posted to this playlist, so please bookmark/follow it if you want to be notified of new ones! I'll also try to post them on this thread too. https://t.co/HAJgKXve0x 141.9K views · 1.1K likes · 160 reposts · 26 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

@gneubig This is super! Will the lectures be posted online? And looking forward to seeing cool demos from students! 4.1K views · 8 likes · 0 reposts · 1 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

Slides and videos will be posted online on the main site, so please follow along if you're interested: https://t.co/D5ICCaYstN We're also looking for compute sponsors, so if you can help provide infra support (sandboxes, GPUs, etc) please reach out! 8.6K views · 170 likes · 18 reposts · 9 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

The instructors are me (CMU prof and developer of @OpenHandsDev) and @dan_fried (CMU prof and formerly on Meta's agent team). We have an all star team of TAs too! @yueqi_song @Jiarui_Liu_ @uilydna @apurvasgandhi @saujasv @sunweiwei12 @Aditya_Soni_8 @demisama_ 11.3K views · 65 likes · 7 reposts · 1 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

The schedule (https://t.co/eMq3PQkT43) covers: - Capabilities: tool use, context management, skills, memory, planning - Domains: coding, gui, deep research - Training: SFT, RL, and systems - Safety: sandboxing, adversarial defense - Interaction, frameworks, and search 11K views · 87 likes · 7 reposts · 3 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

Assignments (https://t.co/GqKeJUAho9) will include: - Building an agentic harness - Creating agentic evaluations - Training with RL - A final research project 8.8K views · 57 likes · 4 reposts · 1 replies Open on X →

Graham Neubig ✓@gneubig2 Jul

This Fall at CMU we're teaching a new course on AI Agents! The goal is that you learn how to create a scaffold, build evals, and train an agentic LLM using RL. We'll try to balance theory and practice, and introduce modern frameworks and best practices. https://t.co/iPr8FMD5wp

343.4K views · 2.3K likes · 281 reposts · 51 replies Open on X →

Face aux comptes de taille comparable

11 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes8 602ce compte924médiane pour 10K–100K

Portée, %18.39%ce compte3.62%médiane pour 10K–100K

Engagement, %0.78%ce compte1.52%médiane pour 10K–100K

Indicateur	Ce compte	Médiane pour 10K–100K	Rapport
Vues médianes par post	8 602	924	9.31×
Portée (vues ÷ abonnés)	18.39%	3.62%	5.08×
Taux d'engagement	0.78%	1.52%	0.51×

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

343.4K2 Jul

8.8K

11K

11.3K

8.6K

4.1K

141.9K8 Sep

1.6K

3.3K

8.6K10 Sep

5.3K11 Sep

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

0.78%2 Jul

0.70%

0.88%

0.65%

2.30%

0.22%

0.89%8 Sep

0.38%

0.42%

0.80%10 Sep

2.01%11 Sep

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

What the audience does

Likes45.5%3 977 in total

Reposts5.6%490 in total

Replies1.1%98 in total

Bookmarks47.8%4 174 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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