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The mechanics

Hook
Style
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Written for

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dax on AI · ViralLoop

Post by dax on X

interesting thing about minimax 2.5 is it's a smaller model considering it's very usable it's a great candidate for home labs also would love to see inference providers try and max out its tokens/s can probably do something crazy

881 likes48 repliesPosted Feb 12, 2026

View the original on X Written by dax. Captured Sep 4, 2026.

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Viral score

Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Opens with a short, self-contained line that is easy to take in at a glance.
Follows a clear Hook → Context → Landing shape, so the reader always knows where they are.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Context → Landing
Style: Conversational paragraphs at a steady pace.
Tone: punchy
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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More from dax

i was very much against this it's a thin standard where most of the relevant stuff will be in client specific extensions anyway and it should not be coming from a company that does not even make an agent end users use

on the upcoming deepseek price increase we've been able to reproduce their current prices even on rented GPUs so this likely isn't because they're "losing money" it's traffic shaping because they are overloaded

so this is a big milestone right now these companies are in a delicate balance - they own the end relationship with the customer and being disintermediated would be a bad thing but if there is a real paradigm shift happening then they're dead if they don't offer this

if you want to help beta test OpenCode 2.0 t.co - data in separate db which we might wipe - stuff will be broken - use /report to send us issues - v1 plugins won't work, v2 api not final there is a built in skill that you can ask for basically anything

i've never hyped a model release, we're generally conservative with how we use these things but gpt-5.6 has had a massive impact on our team, we're using 5x the tokens as we used to it's not even smarter than fable or anything, but it's just so reliable and fun to use

lately after a big change instead of reading the diff i ask the agent for a summary of what it did in each file anything weird sticks out immediately and 1-2 prompts later it's completely as i want it files + functions signatures i need to know, care less about function body