Bitcoin Army ₿ 🪖

Àllhamdulilah for everything ❤️

[Ryan Carter @cryptoexpert0_]

👋 Hello Community!

🔥 $TRENCH — Trench Life

Live now on https://t.co/VHSAFd6yRs and ready for the trenches! 🚀

💎 Early-stage opportunity
⚡ Fresh launch
👀 Keep it on your radar

The trenches are calling — let’s see where this goes. 🔥

📌 CA:
"66u4XhprMymfiWai93sbPrDV1mYEu4hRbcMeKcwGpump"

🚨 Always DYOR before investing.

[I Amelia @Itx_amelia1]

That opening question got me curious right away.

Okay, so what did cause it?

[Mabia Khatun @midnightveil16]

The chain reaction is such a good way to show cause and effect.

Simple, but it works.

[Mansha @ManshaPasha9]

Robot, plane, human body, market chart, molecules… wasn’t expecting that lineup 👀

[Kinsley Alba @Olivia1474789]

Really liked the way one image leads into the next.

Kept me watching.

[Parveez Ahmed @ParveezAhmed50]

The apple 🍎 Such a small moment, but it stuck with me.

[Raisul Islam @rsraisul_islam]

Either the dataset promises results, or we don't build it.

That rule from @voicearena_ai is doing a lot of work. Monsoon took Whisper Medium's Bengali WER from 85% to 7.65% on one fine-tune, the test API is open for labs to verify, and 80+ organisations asked to license it within a week.

[Nida Shah @joshAndersa6]

Big idea, lots of little visual surprises. Nice.

[Noor Hasan @Noor_77Ai]

The video hints at a much bigger canvas than robotics. Curious where this idea could go.

[Aisha Noor @aisha_coder]

The move from lab to home was a nice touch. That’s the bit I remembered.

[Shani Khan @itx_mycutie]

A robot in an actual home setting just hits a little differently. Makes the idea feel closer.

[Lesvi Cake @lesviancake]

I like how the video keeps bringing you back to the same question: what caused what?

[Camilla Parker @Camilla_Parker2]

The most revealing finding from World Models’ Last Exam in Physics: even the strongest models struggle badly with the Hard group — collisions, motion reversals, and changes of state. Performance drops sharply as the physics gets more complex. That matters because world action models (WAMs) plan actions based on predicted physics. Get the physics wrong, and the plan goes wrong too.

[𝖩𝖺𝖼𝗄 𝖬𝗈𝗋𝗀𝖺𝗇 @JackMorganHQ]

A physics evaluator needs to be tested against human judgment, and World Models’ Last Exam in Physics does exactly that. Its measurement-based evaluator outperforms direct VLM scoring on within-task ranking agreement (51.58% vs. 43.40%, +8.18 pts) and confirmed pairwise agreement (53.12% vs. 45.62%, +7.50 pts), while still below human-human agreement (56.60% / 58.54%). A concrete, inspectable way to measure progress.

[Samira Coder @heysamiraa]

Agencies, you can now have a separate Brand Kit for every client.

[STELLA COOPER @Stellapromo7]

Hey crypto fam 👋
👇
✅X : 👇
@peteHedgehog
🦔🇺🇸 INTRODUCING PETE HEDGEHOG

Secretary of DaFence. Protector of the pump.

He doesn't hedge. He HEDGES. 📈

✅CA: APrqixzHUJusuxLuGGULWZCeDCMGS5JjGcdMDnFBZvrv

[Bitcoin Army ₿ 🪖 @anaya780as]

@midnightveil16 Exactly—seeing each step trigger the next makes the cause-and-effect relationship instantly clear. Simple and effective.

[Bitcoin Army ₿ 🪖 @anaya780as]

@Itx_amelia1 That opening question definitely hooked me. Now I need to know what actually caused it

[Bitcoin Army ₿ 🪖 @anaya780as]

@cryptoexpert0_ The trenches are calling . Curious to watch this one unfold.

[Bitcoin Army ₿ 🪖 @anaya780as]

@ManshaPasha9 Really liked how the visual elements carry over from one image to the next—it makes the whole sequence feel connected and intentional. 👏