Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟

Web3 Content Creator
Breaking down DeFi, Airdrops & Blockchain daily
Building @BiGpreq
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[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

Welcome to BiGpreq 🌐⚡
I'm documenting my journey through Web3.
🧵 Crypto & blockchain
🔎 Web3 research
💡 Things I'm learning
🎨 Web3 content
If you're exploring Web3 too, you're welcome here.
Follow the journey. 🚀

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@oraclewilliams @bitget Getting 7% of apr money the allocations will not be moss5

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@ThraxOnchain Gpu costs are the real bottle neck no one talk about it

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@Kutubjk24 @Acurast Turning old phone into brawn new one

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@Iamjustaclipper Risk of missing this celima

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@DiproOnChain @meetmotes Strong building continues to separate serious projects

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@Milonsa87650356 Real Estate on-chain is smart mve for USDC lending

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

⚡️ JUST IN: Indian crypto exchange Unocoin reportedly hacked after unauthorized server access was disclosed on November 9, with user logins disabled.

✅ Trade on WEEX 💸

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@MoSalah Better footballer than miessi

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

A useful 3D dataset begins with a sharper question than “Can someone scan this?”

It starts with what, exactly, must be understood about the space.

The requests on @vangrid_io’s bounty board make the distinction clear. One buyer needs an underground parking bay in Ottawa. Another wants a museum gallery in Glasgow. Recent ones ask for the interior of a Denver coffee shop and the waste-and-returns corner of a supermarket in Cologne.

These are not interchangeable scans. A robotics team may care about clearances, obstacles, and circulation in a parking structure. A retail team may need shelf layouts, counter positions, or back-of-house flow. A public interior and an industrial workspace serve different purposes and demand different spatial detail.

That is why the request itself carries the value. Location is only the entry point. The useful model comes from capturing the right portions of a space with enough context to answer the actual question being asked.

The marketplace is already reflecting this demand: 1,108 bounties and more than $736K in recorded settlements. Physical-world data does not have to be gathered as one enormous, generic map. It can be requested around particular environments and particular needs.

That approach offers a more precise route to the ground truth Physical AI actually requires.

[Dripxel.eth @_Dripxel]

A useful 3D dataset starts with a better question than “Can someone scan this place?”

It starts with: what exactly needs to be understood about that environment?

Look at the variety of requests appearing on @vangrid_io 's bounty board.

One buyer wants an underground parking bay in Ottawa. Another wants a museum gallery in Glasgow. A recent accepted request asked for the inside of a Denver coffee shop, while another specified a supermarket’s waste and returns corner in Cologne.

These are not interchangeable captures.

A robotics team may care about the layout and obstacles in a parking area. A retail use case may need the arrangement of shelves, counters or back-of-house spaces. A model of a public interior has a different purpose from a model of an industrial workspace.

That is why request-level detail matters. The location is only the starting point. The actual value comes from capturing the right parts of it, with enough spatial context to make the resulting model useful.

@vangrid_io 's marketplace is showing this demand in practice: 1,108 bounties and more than $736K in recorded settlements on the board.

The bigger idea is that physical-world data does not have to be collected as one massive, generic map. It can be requested around specific environments and specific needs.

That is a more interesting path toward building ground truth for Physical AI.

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@sixrofweb3 @GOATNetwork Bitvm3 remains the best under develop security property

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@0xImraan @onlystreetsfun I like the live camera equipment

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@z_danmisira The technical knowledge is build on a solid platform

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@TusharDeFi @onlystreetsfun Interesting part is nobody knows what next

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@smartsad1q @Hypesium @RebateLaunch The time based rewards model reminds me of staking ethereum

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@Sniperx432 @sight_hood Work hard in learning how to thread in x

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@SaviourRichie Thank for the heads up

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@nishad_sourov @1win The would be a dream win for any lucky players

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@Zee_zartt Not every trader knows how to read yhe chart

[Ç𝕃𝕀Ñ𝕋𝕆Ñ_Ꭰҽf Ꭵ🫟 @BiGpreq]

@v_3394 @grvt_io Will stable slash funding cost while keeping liquidity intact