Fiqih | UNITEAMBBx

What do you seek fam?

[Fiqih | UNITEAMBBx @Fiqih1St]

Thank you Twitter and @elonmusk
After 1 year got suspended, now im ready to back.

#elonmusk

[Bung Tomo @BungTomo008]

aped some $BIH

Curious will they got cook?

let'see with me
0xde13c048c10f25fa165fafae7d269b82d2e64c3f

[Fiqih | UNITEAMBBx @Fiqih1St]

@BungTomo008 👀

[Bung Tomo @BungTomo008]

$ACUTE Dog

Can this highger? lets watch where it will goes
2eZujvnNMHzWWJmL6HhESpaJq8D1uV3DFkT789Aapump

[Bung Tomo @BungTomo008]

Heyy who did this?
$CRASHCAT higherr now?

[Bung Tomo @BungTomo008]

Sound great!

$PONGO as official mascot for $PONS is a perfect match. Strong meme energy, recognizable, and easy for the community to rally behind.

This could be the identity we needs. Bullish on $PONGO becoming the face of the ecosystem.

Wht d u thnk fam? 👀
@ponsdotfamily

[Bung Tomo @BungTomo008]

$PONSAN is here! 🐕

Meet the legend: Ponsan the Shiba, the adorable, donut tailed queen from ponsan_shiba on Instagram.

Honor the good girl who brought joy to millions.

CA: 0x5b72912cefcc3ad38de2eda55aefae9c66fc045a

#PONSAN #ShibaInu #MemeCoin #CryptoDogs

[Bung Tomo @BungTomo008]

$PONS family got more attention last 3 days,
Take a look of this one $PONSTAR, nobody knows where it will goes 😄

CA: 0xa737df5de18e3aa6b0bf8c2e9846ed699f6f2aeb
@ponstar_rh

[Bung Tomo @BungTomo008]

Looks like a solid call on $NOXA @Noxa_Fi

This one’s flying under the radar for now.

What do you think, next big thing on Robinhood?

#robinhood

[Bung Tomo @BungTomo008]

Can solana:2jz9E5JrEbxLg1RhU68aaSikDvpQurCEZz9BBF9rpump hit Million tonight?
Lets see how far its going

What dou youu think @blknoiz06 ?

[Fiqih | UNITEAMBBx @Fiqih1St]

@SmashersNFT @rade

[Fiqih | UNITEAMBBx @Fiqih1St]

@BungTomo008 @GenLayer This will not breaking trust

[Fiqih | UNITEAMBBx @Fiqih1St]

@BungTomo008 @GenLayer GenLayer's Intelligent Contracts fix that

[Bung Tomo @BungTomo008]

Just saw @GenLayer and holy shit this is the cheat code AI agents in crypto have been waiting for. Regular smart contracts choke on anything messy or subjective.

GenLayer's Intelligent Contracts fix that. They read natural language, grab live web data, and let multiple diverse LLMs vote via Optimistic Democracy to reach nuanced trustless onchain decisions.

For agents that means real freedom: negotiating trades, escrow verification, instant dispute resolution, no oracles, no humans, just fast cheap autonomous execution. Ambiguity and offchain trust? Dead.

Hey @autonolas what do you think about running agents on this?

[Fiqih | UNITEAMBBx @Fiqih1St]

Soo this is new era huhh?
#web3 #SMEs

[Bung Tomo @BungTomo008]

Wait... are you ever thinking? what if your AI suddenly got way better at understanding real human feelings, making smart decisions on the fly, or finding exactly what matters right now?

That's happening live with @PerceptronNTWK data. Real clients are already using fresh, human validated datasets from the nodes network for:

• Sentiment analysis: Brands catch genuine, hyper local mood shifts in real time instead of stale snapshots.

• AI agents: Autonomous tools stay sharp with continuous, trustworthy inputs for dynamic tasks.

• Search & retrieval: RAG and semantic search hit higher accuracy thanks to diverse, uptodate fragments.

• Evaluation: Teams benchmark models against grounded, real world data to catch drift or weaknesses fast.

• More: prediction markets, portfolio optimizers, you name it. Lower cost, broader coverage, faster refreshes.

This is not demos. These are production wins where community powered data actually moves the needle.

Which one make your mind think harder? Real time sentiment, smarter agents, or something else entirely? Tell me below

[Bung Tomo @BungTomo008]

Wait... are you ever thinking? what if your AI suddenly got way better at understanding real human feelings, making smart decisions on the fly, or finding exactly what matters right now?

That's happening live with @PerceptronNTWK data. Real clients are already using fresh, human validated datasets from the nodes network for:

• Sentiment analysis: Brands catch genuine, hyper local mood shifts in real time instead of stale snapshots.

• AI agents: Autonomous tools stay sharp with continuous, trustworthy inputs for dynamic tasks.

• Search & retrieval: RAG and semantic search hit higher accuracy thanks to diverse, uptodate fragments.

• Evaluation: Teams benchmark models against grounded, real world data to catch drift or weaknesses fast.

• More: prediction markets, portfolio optimizers, you name it. Lower cost, broader coverage, faster refreshes.

This is not demos. These are production wins where community powered data actually moves the needle.

Which one make your mind think harder? Real time sentiment, smarter agents, or something else entirely? Tell me below

[Bung Tomo @BungTomo008]

Ever wonder how messy raw web stuff turns into clean, smart data that actually powers good AI? 🤔

Most pipelines hide the mess: scrape tons of junk, filter blindly, structure expensively... then pray it's useful. But.. @PerceptronNTWK does it differentlyand way more openly. Here the simpler:

1. Raw capture: 700k+ nodes grab real-time web fragments using idle bandwidth, fresh, diverse, edge sourced.

2. Filtered & enriched: Humans validate, label, and clean via incentivized tasks. Junk out, quality in.

3. Structured: Pieces get organized into consistent, traceable formats with onchain provenance.

4. AI ready: Delivered as verifiable, always-fresh datasets enterprises can trust and use right away.

No black boxes, no crazy costs, just community powered refinement from noise to intelligence.

Mind blown yet? What's the part that surprises you most? the human validation step, the decentralization, or how it skips traditional bottlenecks?

Drop your thoughts, lets find out

[Fiqih | UNITEAMBBx @Fiqih1St]

We should adapt

[Bung Tomo @BungTomo008]

New week, new topic

Traditional data suppliers for AI? Slow, expensive, and limited. Centralized teams scrape what they can, pay top dollar for labeling, and still miss huge swaths of real-world diversity and freshness.

Community-powered networks flip that entirely. @PerceptronNTWK taps into a global mesh of 700k+ nodes where everyday people contribute bandwidth, validate fragments, and earn real rewards. Result?

- Cost: Way lower, no middlemen hoarding margins or endless licensing fees. Decentralized incentives slash overhead dramatically.
- Coverage: Insanely broader. Millions of edge points capture niche, hyper-local, real-time signals that big corps can't touch efficiently.
- Speed: Fresh data flows constantly, not in batches. Models stay sharp without waiting on slow renewals.

This isn't hype, it's the economics of scale when the crowd owns the pipeline. From static scrapes to living, verifiable intelligence.

Share your thought below fam

[Bung Tomo @BungTomo008]

New week, new topic

Traditional data suppliers for AI? Slow, expensive, and limited. Centralized teams scrape what they can, pay top dollar for labeling, and still miss huge swaths of real-world diversity and freshness.

Community-powered networks flip that entirely. @PerceptronNTWK taps into a global mesh of 700k+ nodes where everyday people contribute bandwidth, validate fragments, and earn real rewards. Result?

- Cost: Way lower, no middlemen hoarding margins or endless licensing fees. Decentralized incentives slash overhead dramatically.
- Coverage: Insanely broader. Millions of edge points capture niche, hyper-local, real-time signals that big corps can't touch efficiently.
- Speed: Fresh data flows constantly, not in batches. Models stay sharp without waiting on slow renewals.

This isn't hype, it's the economics of scale when the crowd owns the pipeline. From static scrapes to living, verifiable intelligence.

Share your thought below fam

[Bung Tomo @BungTomo008]

Happy Weekend Everyone

AI labs are dropping millions on datasets right now. Scraping, labeling, licensing, the whole grind. Then boom, models start crumbling the second the real world moves on. Static data is a trap. Facial recognition blind to diverse faces. Language models clueless about yesterday's headlines. Recommendation engines serving yesterday's tastes.

This isn't sustainable. The economics are brutal long-term. Continuous, diverse, real-time data isn't a luxury anymore. It's the only way production AI survives and thrives.

@PerceptronNTWK is changing the game completely. A massive decentralized network already at 700k+ nodes, pulling fresh, human-validated data fragments super cheap (up to 92% savings compared to old-school methods). No gatekeepers. No crazy recurring bills. Just constant, incentivized flow of high-quality data that keeps models sharp, current, and actually useful.

This is the future we’ve been waiting for: moving from expensive, one-and-done data piles to living, breathing, always-updating intelligence.

I'm genuinely excited, share your thought below fam and who with me?

[Bung Tomo @BungTomo008]

@Punk9277 @Punk9277
THIS IS IT @RallyOnChain NOT shutting down, NOT pausing, NOT leaning on shaky APIs, rock solid & ready to explode! Jump in RIGHT NOW, let’s gooo
https://t.co/AXaUxKhSPx