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Nex

@NexEcosystem

Nex: A next-gen platform linking models, data, and frameworks. We provide a stable, high-performance, ready-to-use agent system.

4 921Followers
16Following
107Posts total
211.4KViews on collected posts

Postingan terbaru

@NexEcosystem How does the continuous visual feedback loop impact the inference cost and memory requirements when running these models locally for extended tasks 168 views · 9 likes · 2 reposts · 2 replies Open on X →
◆ Complex Front End with HTML gameplay NEX-N2.5 creates the visual style, builds the animated pelican cycling scene, and adds interactive controls, including adjustable riding speed and light/dark themes. It combines visual understanding, front-end generation, animation, and h
0:18
2.4K views · 36 likes · 2 reposts · 2 replies Open on X →
◆ Computer Use Skill with Blender The model takes over the existing parts, organizes the scene through Blender scripts and interface operations, checks the rendering feedback, adjusts the presentation, and then uses open-top, exploded and assembled views to clarify the https://t
0:21
1.9K views · 32 likes · 3 reposts · 1 replies Open on X →
◆ Personalized Visual Context Accumulation Nex-N2.5 narrows the context gap for AI agents by converting real-world user activity into personalized skills. → Browse the demo videos actively recorded by users and daily screen observations according to different privacy https://t
0:16
2.1K views · 31 likes · 2 reposts · 1 replies Open on X →
◆ Long-range CUA capability NEX 2.5 Pro demonstrates long-range computer use across 468+ actions in Pokémon Platinum. Using visual feedback and standard controls, it explores routes, handles wild encounters, selects moves, switches between Turtwig and Kricketot, manages HP and
1:02
3.2K views · 42 likes · 2 reposts · 1 replies Open on X →
◆ Built for tasks that take more than one step ⚡ Max scores 50.2 on AutomationBench v1.0.6—just 0.1 points behind Claude Opus 5. 🖥️ Pro scores 56.4 on OSWorld-2, ahead of Qwen3.8-Max at 46.7. From workflow automation to computer use. https://t.co/nYyLZZUHLS
4.7K views · 72 likes · 5 reposts · 17 replies Open on X →
Meet Nex-N2.5 family, our latest open source agentic models. Mini (35B) and Pro (397B) bring multimodal understanding and computer use. Max (1.6T) is a text-only MoE model built for complex reasoning, coding, and agent workflows. Strong benchmark results in workflow automation
0:27
197K views · 821 likes · 256 reposts · 237 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang under 10K pengikut. menjangkau lebih sedikit orang dibanding akun seukurannya.

Median tayangan2 356akun ini2 178median untuk under 10K
Jangkauan, %47.88%akun ini152.97%median untuk under 10K
Interaksi, %1.70%akun ini1.41%median untuk under 10K
MetrikAkun iniMedian untuk under 10KRasio
Median tayangan per postingan2 3562 1781.08×
Jangkauan (tayangan ÷ pengikut)47.88%152.97%0.31×
Tingkat interaksi1.70%1.41%1.21×

Akun lain pada rentang ini →   Bandingkan dengan akun lain →   Bagaimana tolok ukur ini disusun →

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

197K8 Sep
4.7K
3.2K
2.1K
1.9K
2.4K
168

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.74%8 Sep
1.99%
1.42%
1.62%
1.93%
1.70%
7.74%

Reactions — likes, reposts, replies and quotes — divided by views. Median for under 10K accounts is 1.41%.

What the audience does

Likes45.5%1 043 in total
Reposts11.9%272 in total
Replies11.4%261 in total
Quotes6.3%144 in total
Bookmarks25.0%573 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.

Akun serupa