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@Idrisa_Muhammad

๐‚๐จ๐ง๐ญ๐ซ๐ข๐›๐ฎ๐ญ๐จ๐ซ โ€ข๐ƒ๐ž๐Ÿ๐ขโ€ข๐ƒ๐ž๐ ๐ž๐ง (๐‚๐ƒ๐ƒ)

P.R.O.F.I.T Katฤฑlฤฑm Haziran 2020
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๐€๐‘๐•๐€๐ retweetledi
๐€๐‘๐•๐€๐
Alhamdulillah Eid Mubarak Taqabbalallhu minna Wa minkum ๐Ÿฅณโ™ฅ๏ธ
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Boluson
Boluson@Bdigital17ยท
another day to get bizzy, let's get it โค๏ธ
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Mani_fx๐Ÿ“Š
Mani_fx๐Ÿ“Š@Mani22xยท
Omo I lost my mom today. Swears ehh, life without a mother is something else. ๐Ÿ˜ญ๐Ÿ˜ญ๐Ÿ˜ญ๐Ÿ’”๐Ÿฅบ
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Aรฑร S
Aรฑร S@nas_dotcomยท
Taqabbalallahu minna wa minkum. Eid Mubarak!
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Wale๐“…“
Wale๐“…“@0xwaleยท
tgif happy eid to all my muslim baddies send location!
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ZEXOR
ZEXOR@0xZeXoRยท
GM and Happy Friday CT It's almost weekend, what are we clicking today? I'm still on the @XOOBNetwork campaign. Still plenty of time before it ends so you can start now to earn part of that 2% Xoob Supply reserved for creators Meanwhile on @duel_duck, we have just about a day before the @menacedotcom campaign wraps up and claim would be live shortly after that enjoy your weekend
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Benjamin
Benjamin@kodd25ยท
Developers keep building smarter agents, but the real bottleneck is still access. They can generate answers all day, but actually doing things across the web is limited by APIs and controlled gateways. Thatโ€™s why @SelanetAI stands out A decentralized agent-node network where agents donโ€™t just query data, but actually interact with online services. If this works, agents shift from passive assistants to active participants on the web And thatโ€™s when automation starts to feel real
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Bright
Bright@brightinweb3ยท
Have a wonderful day brosifs Some platforms donโ€™t want content to last. If posts can disappear, platforms can control what people see and what gets forgotten. @permacastapp challenges that idea. Content there is meant to stay available, not be buried by algorithms or platform changes. In most systems, data slowly loses value. But in the PermawebDAO ecosystem, permanent records can gain value over time because history keeps building on itself. โ€”โ€”- In my opinion, we got like 10 days more to accumulate LOOKZ from the @3look_io leaderboard 1 LOOKZ = $1 ๐Ÿ™‚โ€โ†”๏ธ โธป Instead of only large general AI models, @0G_labs could support smaller, specialized AI services. Each service focuses on one task and gets paid whenever itโ€™s used. This could create a marketplace where many small AI tools work together across the network.
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Bright@brightinweb3

Good morning homies What makes @permacastapp powerful isnโ€™t only permanence itโ€™s also context. AI doesnโ€™t just keep your content online, it can help connect it, organize it, and keep it useful over time. Instead of isolated posts, your content can slowly become a growing knowledge base owned by the creator. In the PermawebDAO ecosystem, projects arenโ€™t just funded and left alone. Builders get tools, support, and access to the permanence layer so their work can survive and keep evolving. โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”- We got 16k Look left in the 30k @3look_io reward pool, I have to do do better tbh โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€”โ€” Meanwhile @0G_labs is rethinking who earns value in the AI pipeline. Today most of the rewards go to big companies. But 0G opens the door for more participants including data providers, compute providers, and model builders to contribute and earn within the ecosystem.

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Laceyโœจ
Laceyโœจ@I_laceyyยท
Good morning chat ๐Ÿฅฐ It's beena while since I saw a play as sharp as @PerleLabs. So here are my thoughts on them They're building the "sovereign intelligence layer for AI". A Web3 native infrastructure, built on Solana for speed and low costs, that delivers expert validated, human verified, and fully onchain auditable training data. If you want to fully understand Perle, think petabyte scale indexing plus curation, high stakes annotation like medical, legal, robotics, etc, RLHF-style alignment, all with immutable provenance, expert reputation systems, and onchain proof of work. It's the decentralized/Web3 arm of Perle AI , founded by Ahmed Rashad and a team from Meta, Amazon, MIT, and Berkeley. They've raised $17.5M from Framework Ventures, CoinFund, HashKey, and others, and just launched Season 1 contributor tasks with a community points system, a PRL token economy now on the Coinbase roadmap, and the Perle Foundation for long term governance. The magic of Perle is in the hybrid: real domain experts (50K+ vetted) do the heavy lifting, everything gets logged onchain for auditability, and incentives plus reputation keep quality sky high. they claim 30% model accuracy lifts, 95% consensus, 4.8/5 quality scores. No more opaque black box data pipelines or "trust us" labeling farms. Every annotation has verifiable lineage. You might be wondering why this matters for sovereign AI data infrastructure? I will tell you Sovereign AI isn't hype, it's becoming table stakes. As models eat more of national infrastructure like healthcare, defense, finance, law, governments and enterprises realize they can't outsource the data foundation to a handful of foreign hyperscalers or unverified scrapers. You need: - Control : data residency, no foreign black boxes. - Verifiability : provenance to fight hallucinations, bias, model collapse from synthetic slop. - Compliance : audit trails for regulations. - Expert grounding : human in the loop for truth in high stakes domains. Perle's thesis nails this: "Trust is the new compute." Blockchain turns human expertise into a permanent, attributable asset rather than ephemeral crowd work. Nations or organizations can run their own sovereign stacks; curate local datasets, enforce cultural/regulatory rules, and still tap a global expert network, without sacrificing auditability. What Perle is building is extremely bullish, but only if properly executed. Data quality is already the real huddle ( it's way beyond raw compute for frontier models). Synthetic data is flooding the ecosystem and risks echo chamber collapse; verifiable human layers like this are the antidote. In 5 to 10 years from now, I expect: - Sovereign data infra to be as critical as sovereign compute or energy. - Hybrid models where nations run their own Perle like layers for regulated domains, while tapping open global pools for scale. - Tokens/incentives becoming standard to coordinate global experts (PRL is an early example). - Integration with open source models plus decentralized compute for a truly multi polar AI world. Yes, challenges exist like scaling onchain metadata for true petabyte datasets- Perle is smart to focus on indexing/pointers plus verification, sustaining expert quality at volume, and enterprise/gov adoption (crypto stigma plus integration friction). But the direction is dead rightโ€ฆ.transparency and incentives beat centralized opacity every time. Overall, Perle Labs feels to me like the infrastructure play that aligns incentives with what actually makes AI trustworthy and independent. If they deliver the tokenomics and enterprise traction they're signaling, this could be foundational for the next wave. I'm happy to be participating in @PerleLabs community campaign #PerleAI #ToPerle
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David (actually morphin)
David (actually morphin)@techwithdavidยท
good morning everyone if you really break it down, web3 right now is solving three core problems: scale, intelligence, and permanence. @permacastapp is solving permanence in a way that feels culturally important. content stored on decentralized networks isnโ€™t at the mercy of algorithms, bans, or platform shutdowns. itโ€™s not just about new apps. Itโ€™s about building systems where data flows efficiently, intelligence is shared, and expression is preserved. thatโ€™s the bigger picture forming underneath the surface. what stands out about $RIVER is how much its long-term strength depends on real participation, not just market excitement. price can move fast, but consistent user activity and ecosystem growth are what quietly build durability. sustainable projects like @River4fun arenโ€™t loud all the time, they compound through steady engagement, aligned incentives, and a community that sticks around even when attention shifts elsewhere. I'll be looking into @XOOBNetwork today
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David (actually morphin)@techwithdavid

good night quick thought on $RIVER - @River4fun - before going when thinking about $RIVER, the big question is simple: why would someone actually need to buy and hold it? a token only has real demand if itโ€™s essential to the ecosystem, whether for participation, rewards, staking, or governance. if holding $RIVER feels optional, demand can be hype-driven and short-lived. the next piece is value capture. does protocol activity feed back into the token? things like fee redistribution, staking that locks supply, or reward conversion mechanisms can create scarcity and organic demand. if these mechanics scale with participation, the token has a stronger structural foundation. without them, ecosystem growth doesnโ€™t necessarily boost token value. finally, holder behavior matters. are users incentivized to hold long-term, or do they cash out immediately? strong ecosystems give holders reasons to stay invested, like governance power, yield, or future participation perks. the real measure isnโ€™t just activity, itโ€™s whether that activity mathematically drives token demand and builds a sustainable flywheel. >>>>>>> @0G_labs is focused on the heavy lifting, scalable data availability and modular execution so AI applications can actually function onchain without breaking under demand. this kind of architecture isnโ€™t flashy, but itโ€™s necessary. @dGrid_ai is rethinking how AI inference happens. instead of centralized clouds deciding access, it distributes reasoning across decentralized nodes, creating a more open and verifiable intelligence layer.

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