Salim Hossen (Ø,G)

@Salim2763

You can get a queen with money, but you can't get a king, a king is not so cheap that he will be sold in the market. Follow to follow back 💯💯💯

Rajshahi

Joined January 2025

303 Following

109 Followers

232 Posts

Salim2763 retweeted

Prosper Alpha

@ProsperTicker

23 days ago

🔥Prosper Genesis Season is LIVE: 1,000,000 $PROS in Total Season Rewards! 4 Trading Rounds. Fresh Leaderboards. Maximum Performance on @pharos_network. Trading Competition: Round 1 is officially OPEN! 💚 110K $PROS Prize Pool (100K Core + 10K @Top_nod bonus) 💚 5× Multiplier on Inner-Curve net buys 💚 Top 200 Leaderboard + Qualified Trader Pool 💚 Ends: Oct 29 (10:00 UTC) 🏁 Trade Now: https://t.co/JZtJ8DWa1H

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Salim Hossen (Ø,G) @Salim2763

10 days ago

Verifying my Twitter account for my #GalxeID gid:39654ca8859e1187e8b2b8d341fedc03 @Galxe

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Salim Hossen (Ø,G) @Salim2763

10 days ago

Verifying my Twitter account for my #GalxeID gid : 5631d7f374d7ec61505ea1feb6db5067 @Galxe

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Salim Hossen (Ø,G) @Salim2763

10 days ago

Verifying my Twitter account for my #GalxeID gid:undefined @Galxe

Salim Hossen (Ø,G) @Salim2763

22 days ago

@LimonCryptoB @axisrobotics lesgh hnd hm b

Salim2763 retweeted

𝗠𝗿. 𝗟𝗜𝗠𝗢𝗡 ₿

@LimonCryptoB

22 days ago

What if one digital environment could teach a robot to handle hundreds of different situations? That’s one of the interesting ideas behind Axis Robotics’ work with digital twins. A robot shouldn’t learn a task by memorizing just one room, one camera angle, or one object position. Real environments are constantly changing. < WHY DOES THIS MATTER? > - Lighting can change how objects appear - Camera angles can affect what the robot sees - Objects may be placed in different positions - Backgrounds and surroundings can look completely different A robot that only learns from one fixed setup may struggle when even small details change. < HOW DOES AXIS APPROACH THIS? > Axis uses digital twins to recreate task-related environments and then introduces variations into the simulated scenes. → Different object positions → Different camera viewpoints → Changes in lighting, textures, and backgrounds → More diverse examples for robot training The goal is to preserve what matters for the task while changing the details the robot shouldn’t depend on. < THE BIGGER PICTURE > A digital twin isn’t valuable just because it looks like the real world. Its real value comes from how effectively it helps a robot prepare for the real world. Axis Robotics is exploring how task-aligned simulation and real-world demonstrations can work together to build more capable robotic systems. For me, this raises an interesting question: Can robots become more adaptable by learning from many versions of the same environment, rather than relying on a single perfect setup? That’s a direction worth watching as Physical AI develops. @axisrobotics @KaitoAI #AxisRobotics #PhysicalAI

LimonCryptoB's tweet photo. What if one digital environment could teach a robot to handle hundreds of different situations?

That’s one of the interesting ideas behind Axis Robotics’ work with digital twins.

A robot shouldn’t learn a task by memorizing just one room, one camera angle, or one object position.

Real environments are constantly changing.

< WHY DOES THIS MATTER? >

- Lighting can change how objects appear
- Camera angles can affect what the robot sees
- Objects may be placed in different positions
- Backgrounds and surroundings can look completely different

A robot that only learns from one fixed setup may struggle when even small details change.

< HOW DOES AXIS APPROACH THIS? >

Axis uses digital twins to recreate task-related environments and then introduces variations into the simulated scenes.

→ Different object positions
→ Different camera viewpoints
→ Changes in lighting, textures, and backgrounds
→ More diverse examples for robot training

The goal is to preserve what matters for the task while changing the details the robot shouldn’t depend on.

< THE BIGGER PICTURE >

A digital twin isn’t valuable just because it looks like the real world.

Its real value comes from how effectively it helps a robot prepare for the real world.

Axis Robotics is exploring how task-aligned simulation and real-world demonstrations can work together to build more capable robotic systems.

For me, this raises an interesting question:

Can robots become more adaptable by learning from many versions of the same environment, rather than relying on a single perfect setup?

That’s a direction worth watching as Physical AI develops.

@axisrobotics @KaitoAI

#AxisRobotics #PhysicalAI

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Salim2763 retweeted

𝗠𝗿. 𝗟𝗜𝗠𝗢𝗡 ₿

@LimonCryptoB

22 days ago

Your work isn’t fully counted just because you completed a trajectory. Make sure it’s signed. Axis Robotics has shared an important update for everyone contributing to its Physical AI data engine. < WHAT YOU NEED TO KNOW > - Snapshot: October 18, 12:00 UTC - Sign your eligible trajectories before the deadline - Signed contributions recorded before the snapshot count toward the pre-TGE airdrop reward pool - Contributions submitted after the snapshot will count toward the separate 6% post-TGE community contributor reward pool < WHY DOES THIS MATTER? > Every trajectory helps build the data that robots need to learn real-world tasks. But completing a task and signing its record are two different steps. If you have pending trajectories, it’s worth checking their status before the snapshot. < ONE MORE IMPORTANT DETAIL > Axis has confirmed that points from its Binance Wallet and BitRobot alliance programs are included in the same pre-TGE reward pool. So, if you’ve been contributing through these programs, your signed records matter too. The key takeaway is simple: Do the work, check your records, and make sure your contributions are signed on time. The snapshot is approaching, and staying organized now can help you avoid missing the cutoff. @axisrobotics @KaitoAI #AxisRobotics #PhysicalAI

LimonCryptoB's tweet photo. Your work isn’t fully counted just because you completed a trajectory. Make sure it’s signed.

Axis Robotics has shared an important update for everyone contributing to its Physical AI data engine.

< WHAT YOU NEED TO KNOW >

- Snapshot: October 18, 12:00 UTC
- Sign your eligible trajectories before the deadline
- Signed contributions recorded before the snapshot count toward the pre-TGE airdrop reward pool
- Contributions submitted after the snapshot will count toward the separate 6% post-TGE community contributor reward pool

< WHY DOES THIS MATTER? >

Every trajectory helps build the data that robots need to learn real-world tasks.

But completing a task and signing its record are two different steps. If you have pending trajectories, it’s worth checking their status before the snapshot.

< ONE MORE IMPORTANT DETAIL >

Axis has confirmed that points from its Binance Wallet and BitRobot alliance programs are included in the same pre-TGE reward pool.

So, if you’ve been contributing through these programs, your signed records matter too.

The key takeaway is simple:

Do the work, check your records, and make sure your contributions are signed on time.

The snapshot is approaching, and staying organized now can help you avoid missing the cutoff.

@axisrobotics @KaitoAI

#AxisRobotics #PhysicalAI

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Salim2763 retweeted

Limitless @trylimitless

5 months ago

WE'RE GIVING AWAY $1,000,000 DURING THIS WORLD CUP! ⚽️ Trade WC markets on Limitless, earn XP, climb the leaderboard, and compete for your share of an up to 1,000,000 USDC prize pool More activity = bigger prize share Your road starts now → https://t.co/tJxAUxO04k

trylimitless's tweet photo. WE'RE GIVING AWAY $1,000,000 DURING THIS WORLD CUP! ⚽️

Trade WC markets on Limitless, earn XP, climb the leaderboard, and compete for your share of an up to 1,000,000 USDC prize pool

More activity = bigger prize share

Your road starts now → https://t.co/tJxAUxO04k https://t.co/95py1vDGUI

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Salim2763 retweeted

Limitless @trylimitless

5 months ago

If you're not stacking extra rewards on top of your WC2026 predictions on Limitless, what are you even doing? The $1,000,000 pool on Limitless is still open for everyone - 20% to random traders - 80% to the top 1,000 Start your road here: https://t.co/tJxAUxO04k

trylimitless's tweet photo. If you're not stacking extra rewards on top of your WC2026 predictions on Limitless, what are you even doing?

The $1,000,000 pool on Limitless is still open for everyone

- 20% to random traders
- 80% to the top 1,000

Start your road here: https://t.co/tJxAUxO04k https://t.co/Q4XCklexYM

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Salim Hossen (Ø,G) @Salim2763

9 months ago

@LimonCryptoB hudd

Salim Hossen (Ø,G) @Salim2763

9 months ago

@LimonCryptoB let's goooo

Salim Hossen (Ø,G) @Salim2763

10 months ago

@LimonCryptoB @Yellow @estovaderelojes gYellow

Salim2763 retweeted

𝗠𝗿. 𝗟𝗜𝗠𝗢𝗡 ₿

@LimonCryptoB

10 months ago

🔥 The journey ends here… but the real story is just beginning. When I started exploring @Yellow Network, it looked like just another Web3 infrastructure project. But after walking through every layer one truth became clear: $Yellow isn’t building a product. They’re building the future of trading itself. 🟡🚀 Today’s crypto market still suffers from: ⚠️ Fragmented liquidity ⚠️ Slow settlements ⚠️ Heavy trust dependencies And @YellowNetwork is solving all three at once. 🔹 Trustless settlement 🔹 Cross-chain shared liquidity 🔹 Institutional-grade architecture 🔹 Retail-friendly access This is a network where brokers, exchanges, institutions, and retail users all connect to the same liquidity ocean. 🌊 No walls. No silos. Just seamless flow. The most exciting part? Yellow is building quietly but the impact will be loud. Those who understand early will stand ahead later. 💡 The future trading infrastructure is being written right now. And @YellowNetwork is holding the pen. ✍️🟡 #YellowNetwork #Web3 #CryptoTrading #DeFiInfrastructure