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Gradient

@Gradient_HQ · joined 22 May 2024

Open infrastructure for open intelligence. Lattica · Parallax · Echo

700 303Followers
77Following
498Posts total
521.9KViews on collected posts

Derniers posts

Proud to share MERA: joint work from a group of brilliant researchers including our very own. It evolves small models with SkillBook + routing + adapters so they take on more of the agent workload over time. Paper + code 👇 36.6K views · 212 likes · 104 reposts · 69 replies Open on X →
🚀 MERA: Model Evolution and Routing with Skill Adaptation for Agentic Systems at Scale How can we make small models stronger for on-device agent deployment? MERA uses stronger models to guide an iterative loop of RL/GRPO, skill learning, and router optimization. Student https:/
31.3K views · 16 likes · 3 reposts · 3 replies Open on X →
Agents are impressive. Multi-agent systems are where things get interesting. As AI systems evolve from single agents into networks of specialists, a new question follows: How do agents decide who does what? That’s a problem we’ve been exploring with Symphony. Symphony brought 47.8K views · 329 likes · 49 reposts · 109 replies Open on X →
@Gradient_HQ @MiniMax_AI @tryParallax @GA_agent_ai Wait… what is this magic? 👀 1.1K views · 3 likes · 0 reposts · 0 replies Open on X →
@Gradient_HQ @MiniMax_AI @tryParallax @GA_agent_ai https://t.co/x0s89GUFA6
GIF
729 views · 4 likes · 0 reposts · 1 replies Open on X →
This is why we built Parallax @tryParallax As open models get stronger and agents get more capable, local-first AI becomes much more than a privacy story. It becomes a new way to build with open intelligence that stays close to your data, your tools, and your machines. 50.9K views · 275 likes · 36 reposts · 64 replies Open on X →
@Gradient_HQ @MiniMax_AI @tryParallax @GA_agent_ai Woww. Zero to hero. Local AI feel real! 1.4K views · 2 likes · 0 reposts · 0 replies Open on X →
This is a glimpse of where local AI is heading and we are glad to be part of it. Really impressive work by all the teams involved @Gradient_HQ, @tryParallax, and @GA_agent_ai 129.7K views · 993 likes · 56 reposts · 27 replies Open on X →
A self-evolving agent + a 428B model + 3 Macs = ? Your own AI lab. We ran @MiniMax_AI M3 locally with @tryParallax, right on our desk. Then @GA_agent_ai took over to create a 5-stock portfolio and write it to disk. No cloud. No API bills. Nothing left the machine. Wild to ht
1:06
152.4K views · 468 likes · 177 reposts · 125 replies Open on X →
https://t.co/bDtBJaSdQr
69.9K views · 545 likes · 55 reposts · 157 replies Open on X →

Face aux comptes de taille comparable

9 posts des 90 derniers jours, à côté de la tranche de 100K–1M abonnés. diffusé largement, mais peu de ces spectateurs réagissent.

Vues médianes36 587ce compte4 317médiane pour 100K–1M
Portée, %5.22%ce compte1.68%médiane pour 100K–1M
Engagement, %0.69%ce compte1.35%médiane pour 100K–1M
IndicateurCe compteMédiane pour 100K–1MRapport
Vues médianes par post36 5874 3178.48×
Portée (vues ÷ abonnés)5.22%1.68%3.11×
Taux d'engagement0.69%1.35%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

69.9K1 May
152.4K29 Jun
129.7K
1.4K
50.9K
729
1.1K
47.8K7 Aug
31.3K12 Aug
36.6K13 Aug

Last 10 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.12%1 May
0.53%29 Jun
0.84%
0.14%
0.76%
0.69%
0.27%
1.07%7 Aug
0.08%12 Aug
1.09%13 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.

What the audience does

Likes68.4%2 847 in total
Reposts11.5%480 in total
Replies13.3%555 in total
Quotes2.9%122 in total
Bookmarks3.8%159 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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