Roman | (⋈, 🤖)

1.4K posts

Roman | (⋈, 🤖)

Roman | (⋈, 🤖)

@RomanRoman8150

Crypto Enthusiast

Katılım Mart 2024
268 Takip Edilen54 Takipçiler
Roman | (⋈, 🤖) retweetledi
Rhea Finance
Rhea Finance@rhea_finance·
RHEA DEX on NEAR has resumed full live operations. To be clear: the DEX itself was never at risk. The temporary pause was a precautionary measure taken to carefully assess transactions linked to the recent exploit and to support the recovery of stolen funds. We appreciate your patience and continued trust as we worked through this process. A full update on RHEA Lending will follow shortly app.rhea.finance
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Giedrius Trump
Giedrius Trump@Trumpyla·
Imho, if you actually want to jump on the “OpenClaw” wave without inheriting the security nightmare, IronClaw is the smarter play: a Rust-based, security-first implementation built around defense in depth, local encrypted data, and auditable execution. github.com/nearai/ironclaw
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The Rollup
The Rollup@therollupco·
"Chain abstraction is like wifi; you don't invent your own." Hoskinson praised @NEARProtocol's team and confirmed he's been studying their intents framework and account model closely. His comparison positions NEAR's standards work as foundational infrastructure that the rest of the industry should adopt. He described a seven-layer architecture where intents sit on top, enabling users to interact across chains without managing the complexity underneath.
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JP.near
JP.near@jp_dawg·
🚨Your favorite $ICP influencers are lying to you. .@JerryBanfield and .@BobbyO_ claim to do thorough research when presenting you their cases but essentially they're just talking out of their asses. Let me debunk some of their newest claims about $NEAR here. If they lie about this - what else did they lie about? 🧵
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Helix
Helix@helixfi·
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Take My Muffin
Take My Muffin@tmm_eth·
TMM Main Collection is coming to @opensea 🌊 Free mint - 666 unique NFTs on @ethereum. Current holders will receive WL spots for the upcoming collection. quiz.tmm.world
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Hearthstone
Hearthstone@PlayHearthstone·
A new reward awaits you... Login between March 24 to 31 and claim 2x random Epic cards ⚔️
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Roman | (⋈, 🤖)@RomanRoman8150·
@uttam_singhk With @NEAR_intents you can perform cross-chain swaps seamlessly, this is beneficial for both common users (since the UX is really friendly and for me it is what chain abstraction should look like) and AI-agents, amount of which skyrockets exponentially nowadays
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Roman | (⋈, 🤖)@RomanRoman8150·
@Nick_Researcher I am not a "pro" in crypto, before @near_intents appeared I mainly switched my assets via CEX, but using CEX does not feel anonymus and independent (some of my friends were banned and there assets were frozen). @near_intents resolves these issues
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Nick Research
Nick Research@Nick_Researcher·
➥ The chain abstraction landscape has matured significantly Most people still think multi-chain is a feature, but I’m starting to see it as crypto’s biggest UX failure Right now we have dozens of L1s, L2s, appchains… but for users it still means: - switching networks & holding multiple gas tokens - bridging assets manually & dealing with failed or delayed txs And I think the market finally realized this Chain abstraction is no longer just a narrative, it’s becoming the default expectation So over years users don’t want to know what chain they’re on, they just want the result Instead of clicking through steps, users now express intents like “Earn yield here” And the system handles everything behind the scenes from routing liquidity, executing cross-chain, optimizing cost I believe this trend is inevitable from manual interaction → to outcome-based execution I’ve been looking deeper into the players pushing this, and the stack is forming fast: > @RiverdotInc| $RIVER - frequently called the 2026 Chain Abstraction Leader - strong momentum, focusing on unifying fragmented liquidity and UX > @NEARProtocol | $NEAR - strong emphasis onchain abstraction combined with AI agents - confidential intents enable secure, private cross-chain DeFi without exposing users to chain details > @ParticleNtwrk - continues building modular/multi-layer frameworks for account unification, orchestration, and cross-chain UX Others Frequently Mentioned: - @LayerZero_Core | $ZRO - cross-chain messaging - @wormhole | $W - asset and data transfer - @axelar | $AXL - programmable cross-chain communication - @chainlink | $LINK - via CCIP for interoperability. - @ZetaChain | $ZETA, @routerprotocol | $ROUTE, @SynapseProtocol | $SYN - Emerging/newer ones like @useTria | $TRIA for abstracted wallets/routing/identity Different approaches, but same direction: They hide the chain, keep the outcome The timing is convincing: - Stablecoins just crossed $300B+ - Institutions are getting more involved - AI agents are starting to execute onchain actions None of this works at scale if users still deal with which chain am I on? So I think we’re in a weird phase right now: 2026 = awkward transition 2028 = users won’t even know what a chain is Chain abstraction isn’t competing with L1s/L2s, it sits above them & whoever owns that layer controls the UX
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Roman | (⋈, 🤖)@RomanRoman8150·
@rhea_finance @NEARProtocol Finally, without TP/SL leverage trading is a rollercoaster, which demands a trader to sit in front of the screen. I believe that the next major update should include cross-margin and expansion of existing trading pairs
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Rhea Finance
Rhea Finance@rhea_finance·
RHEA LEVERAGE "TP/SL" Deployed 🫳 > Open long/short positions > Set up your TP & SL strategy > Leave it and let it trade for you Supported assets: $NEAR, $ZEC and $BTC Only on RHEA NEAR app.rhea.finance/leverage Built for @NEARProtocol Community
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Roman | (⋈, 🤖)@RomanRoman8150·
@Nick_Researcher NEAR Intents is a fuel to drive AI-agent economy to millions and billions of AI-agents: Agents declare outcome, then solvers compete across different chains and finally atomic execution happens. No bridges No friction Agents can execute payments to each other autonomously
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Nick Research
Nick Research@Nick_Researcher·
➥ AI 5-layer cake from NVIDIA and how it applies to crypto First thing first, AI is becoming the largest infra buildout in history > Claude: backed by Amazon/Google + major VCs → $380B val → ~19M active users & $14B annualized rev > Perplexity: backed by IVP/SoftBank/Jeff Bezos/Nvidia → $20B val → ~45M MAU & 780M+ monthly queries > Gemini: fully backed by Google/Alphabet → 750M+ monthly active users > ChatGPT: backed by Microsoft/SoftBank/Nvidia/Amazon → $730B+ pre-money val → 900M weekly active users & 50M+ paying subscribers And the numbers already hint at it: • Hyperscalers are expected to spend $300B+ on AI infra in 2026 • GPU clusters now run tens of thousands of chips per facility • Energy demand from AI data centers is projected to double within a decade So basically, the @nvidia AI 5-Layer Cake is framing AI as a complete industrial infra stack When I mapped this model to crypto, something interesting appeared Crypto is rebuilding the same stack, but in a decentralized way [1] APPLICATIONS - economic value, agents, usable dApps Decentralized AI agents, onchain inference, AI-enhanced Web3 UX, autonomous agent economies - @virtuals_io | $VIRTUAL - Agents become economic participants onchain - @NEARProtocol | $NEAR - AI-powered usability layer + Makes blockchain abstraction easy - @dfinity | $ICP - Fully onchain AI execution & verifiable apps + Enables transparent AI dApps without off-chain servers [2] MODELS - training/inference markets Open, incentivized networks where anyone trains/competes models and earns for useful intelligence - @opentensor | $TAO - #1 decentralized machine-learning network + Models compete, collaborate, and get rewarded via proof-of-utility [3] INFRA - orchestration, compute clouds DePIN marketplaces for decentralized GPU clusters, storage, and orchestration - @rendernetwork | $RENDER - Decentralized GPU compute marketplace powering AI workloads - NEAR & ICP also contribute heavy infra as above [4] CHIPS - hardware acceleration layer Crypto has no protocol that manufactures chips, still NVIDIA/AMD silicon Instead DePIN provides decentralized marketplaces and aggregation for GPU chips exactly like the blog describes - RENDER again leads here - routes workloads directly to idle GPUs worldwide - @ionet as well as Aethir aggregates GPUs into clusters for ML, turning idle hardware into on-demand AI compute [5] ENERGY This is the least tokenized layer in DeAI, energy is physical Crypto parallels exist in PoW/PoS economics where energy = security and DePIN node incentives Node operators in Bittensor, Render, Grass, etc., cover their own energy costs and get paid in tokens, turning electricity into economic incentives Broader energy DePIN exists but sits outside pure AI crypto rankings The stack still relies on global grids, with crypto making usage more efficient via incentives and ZK proofs to reduce redundant compute
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