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Reka ✓

@RekaAILabs · San Francisco Bay Area · joined 20 Jun 2022

Research and development of foundational intelligence for the physical world.

20 435Followers
16Following
273Posts total
55.8KViews on collected posts

Derniers posts

@RekaAILabs @nvidia Incredible progress in real-time AI video generation. This collaboration shows how innovation and advanced computing are shaping the future of creative technology 8 views · 0 likes · 0 reposts · 0 replies Open on X →
@RekaAILabs @nvidia "Impressive progress in real-time video generation. The combination of advanced AI models and powerful infrastructure is pushing the boundaries of creative possibilities 15 views · 0 likes · 0 reposts · 0 replies Open on X →
@RekaAILabs @nvidia Steerable 30B video at 24 fps on one H100 is a serious result. Does temporal consistency hold when a language intervention changes the intended action midway through a contact-rich rollout? 182 views · 2 likes · 0 reposts · 0 replies Open on X →
Together with @nvidia , we've built a real-time version of our video generation model: 30B parameters, steerable mid-stream in natural language, 720p at 24fps. 11.8x faster on a single H100, no major quality drop in our blind eval. We're one step closer to World Language Action 10.3K views · 66 likes · 21 reposts · 4 replies Open on X →
Enterprise data is multimodal. Most AI tools aren't. Reka + @HPE + @nvidia built a validated stack to close that gap, from pilot to production. Here's our solution: https://t.co/BMAzJmupnU #Reka 2.2K views · 15 likes · 2 reposts · 4 replies Open on X →
@RekaAILabs This is the right direction. Real homes, real mess, first-person. Skilled trades work in occupied residential and commercial buildings is still almost completely missing from these datasets though. That’s the gap we’re focused on filling. https://t.co/FgMDTi9PTD 5 views · 0 likes · 0 reposts · 0 replies Open on X →
@RekaAILabs I am collecting robotics datasets here https://t.co/NqeQm98GRv 231 views · 1 likes · 0 reposts · 0 replies Open on X →
@RekaAILabs 10k hours of someone forgetting where they left their keys The real training data 629 views · 5 likes · 0 reposts · 0 replies Open on X →
To train physical AI, synthetic environments and polished, tripod-mounted footage aren't enough. You need the actual mess of the real world. 🚀Releasing RekaDaily-10k: 10,312 hours of unscripted, first-person household footage as collected, recorded by paid collectors in real h 37.9K views · 161 likes · 23 reposts · 9 replies Open on X →
Can AI actually reason about a video, or is it still just listing what's in frame? We gave our model a scenario: twenty competitors, nearly identical vehicles, fast-paced motorsport. It has to figure out who's who from pixels alone. Result: 90.9% accuracy, up from 39.6%. 📄 http 2.4K views · 25 likes · 4 reposts · 2 replies Open on X →
A single camera frame might capture a thousand people on a train platform. It's not enough to recognize them. The model has to know which one matters. In our latest post, we share how our models reason about real-world video: spatial grounding, temporal tracking, identity, and 1.9K views · 21 likes · 4 reposts · 0 replies Open on X →

Face aux comptes de taille comparable

9 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. en dessous de ses pairs à la fois en portée et en engagement.

Vues médianes231ce compte924médiane pour 10K–100K
Portée, %1.13%ce compte3.62%médiane pour 10K–100K
Engagement, %0.53%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post2319240.25×
Portée (vues ÷ abonnés)1.13%3.62%0.31×
Taux d'engagement0.53%1.52%0.35×

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

1.9K30 Jul
2.4K31 Jul
37.9K6 Aug
629
2317 Aug
58 Aug
2.2K13 Aug
10.3K3 Sep
182
154 Sep
8

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

1.33%30 Jul
1.35%31 Jul
0.53%6 Aug
0.79%
0.43%7 Aug
0.00%8 Aug
0.96%13 Aug
0.90%3 Sep
1.10%
0.00%4 Sep
0.00%

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

What the audience does

Likes52.3%296 in total
Reposts9.5%54 in total
Replies3.4%19 in total
Quotes1.8%10 in total
Bookmarks33.0%187 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.

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