Alan Master

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Alan Master

Alan Master

@alanmaster_

💎Blockchain Enthusiast

Liverpool, England Katılım Mart 2016
3.4K Takip Edilen6.2K Takipçiler
Alan Master retweetledi
tonyGewrit📕
tonyGewrit📕@tonyGewrit·
the announcement is icing on the cake. it will be nice. but it is not the reason i bought $p0.
tonyGewrit📕@tonyGewrit

@TahadiAlUqool @ultimaterektguy @Dihno420 @SerPepeXBT lol why are you so focused on this announcement? its a top 13 on OpenRouter and making 70-90k a month to do buybacks …? it went to 4.5m before this spaceX talk lmao. you guys literally fud yourselves out of position. fix your logic big bro

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Alan Master retweetledi
Alan Master retweetledi
tonyGewrit📕
tonyGewrit📕@tonyGewrit·
the aim of the free inference credits on @P0Systems is to grow customer base and the convert them to paid users. my goodness, its working perfectly. top 2 most used models on $p0 are paid. google and ibm.
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Turbo
Turbo@0xTurbo_·
Hot take, @BagsApp will have their time again I know the sentiment of @BagsApp right now is horrible, but thats exactly why im positioned My thesis started forming when i recognized solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS around 200-300k mc, crazy tek that didnt have enough recognition. I later looked into more plays, here are three of the plays im positioned in that can pull of a great run when solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS prints a 10M candle 1) solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS for obvious reasons, i have several posts about it, including a mock up from Corey's/@SerPepeXBT appearance at @MCGlive Read the pinned post on my profile to get P0 Pilled News coming out about a @SpaceXAI deal tomorrow, im pamped MC 3.7M Fair price 20M+ ong 2) solana:Fnmq5udTPPkxGjw8nDtnRsjJWfHfdNmsfKGLhUerBAGS This bid was a bid that i made looking for projects within AI harnesses. Leon AI is a project by @grenlouis He has one of the most stacked Github on Bags app with 16.9k stars github.com/leon-ai He has a roadmap which you can see for yourself here and been working on it since 2017, so you know he ain't going anywhere He has yet to mention any utility until its launched fully Grabbed a bag here to hold just incase Bags gets a second life (or third/fourth, lost count) solana:5c4HyD2rSShqnTsf5z3SaoD2H3GE452u2CUuYjviBAGS @x402_Layer is a decentralized infrastructure project built to be an economy where humans and autonomous AI agents interact, trade, and run businesses together Its a decent x402 play on @BagsApp with a team that have been working at it for months Mc 276K
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injured.warrior
injured.warrior@CryptoWarrior_e·
this wallet buying solana:HmTi3CQfKfXWbn1tNoiAxH7GzMV7L3tDAmPWabZEBAGS now 🤑 and his other bag is $three 3️⃣ position yourself > AI crypto tokens > on @solana > strong back (spacex, ibm, nvidia,…) and relax
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Alan Master
Alan Master@alanmaster_·
Money can buy you the best blockchain, but it can never buy you a culture. That requires years of experience and lived experiences.
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Alan Master retweetledi
ronin41
ronin41@nonfungiblegame·
What's happening? That is happening, X. $P0
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Zosh
Zosh@zosh8540·
其他 Solana AI 项目也曾申请 @NVIDIA Inception,但都没有通过。 而 @datahedgeai 即使是一个链上项目,仍然成为了首个通过 @NVIDIA Inception Program 获得支持的链上 AI 项目。 团队表示很快会公布更多重要内容,值得期待。
DATAHEDGE@DATAHEDGEAI

Following our previous selection as an official member of the @NVIDIA Inception Program, @DATAHEDGEAI has now advanced to officially receiving support through NVIDIA Inception. After further review, DATAHEDGE is now eligible for support from seed to scale through the NVIDIA Inception ecosystem. We are honored to be among the first on-chain AI projects to reach this milestone through @NVIDIA Inception. The full details of DATAHEDGE AI’s support through NVIDIA Inception can be verified in the official NVIDIA email. With this support, once DATAHEDGE products begin generating revenue, 50% of all product revenue will be used to buy back and burn $DATA for the first year. After the first year, 20% of product revenue will continue to be allocated to $DATA buyback and burn. From seed to scale. DATAHEDGE keeps building.

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Alan Master retweetledi
ZHCs.ai|中国龍Loong.btc
好的项目方很难得,市场上大部分项目其实是同一批人做的,今天这个链明天哪个链,这些项目没有成功的可能,不会有真实用户,除了叙事没有真正的未来。项目方也没有意愿长期做下去,因为他还要赶下一个场。而@P0Systems 这种,明星创始人实名有数据有盈利有长期执行目标的是万里挑一,买 P0是投资AI 。
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Alan Master retweetledi
The Singularity Layer
The Singularity Layer@x402_Layer·
100% of gas fees are sponsored for every transaction made by both AI agents and humans on the Singularity Cloud Network, including @RobinhoodCrypto and all our other supported networks. It's nothing new. We've been sponsoring gas since day one. Just added Robinhood to the list as well. Also, Agent Skill x402-Compute v1.10.0 is now live, adding Robinhood Chain support for AI agents across the Singularity Cloud Network.
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The Singularity Layer@x402_Layer

Singularity Cloud Network now supports Robinhood Chain @RobinhoodCrypto over x402. AI Agents on Robinhood Chain can now: • Rent CPU, GPU, or bare metal compute on demand. • Deploy AI Inference Machines with built-in LLMs and OpenAI-compatible APIs. • Launch their own inference provider businesses and start serving AI. • Become a provider on @OpenRouter Robinhood Chain 🤝 Singularity Layer.

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Alan Master
Alan Master@alanmaster_·
The Global Inference Layer Built on Consumer GPUs @GpuGridApp Millions of powerful GPUs around the world remain idle for much of the day. At the same time, developers are paying high fees for centralized AI inference APIs. GPUGrid connects these two sides through a single OpenAI-compatible API. Developers gain access to open-source models without managing infrastructure, while GPU owners earn revenue from their unused hardware. This is how its story differs from Inferra and CapIX: Inferra’s story: Turning compute into a liquid market. solana:9ufM9TJd1UEmi9awnGfxCkCHAgQ3JZ5Sw6YxeSeEASY CapIX’s story: Building decentralized cloud infrastructure. solana:bS532krUcXBMNqXURPtGqYA7dhEsenYe2z9QKkcEASY GPUGrid’s story: Turning every idle GPU into an accessible AI inference node. solana:e4gi5NCxK3Eb7HqXV1Rskc3dZtH4hcHTF8dCfa5EASY My clear view: GPUGrid’s current advantage over its competitors is not broader technological scope, but product simplicity and focus. Its most valuable differentiators are: > An OpenAI-compatible API with low switching costs. The ability to consume inference without renting an entire GPU. > The ability to onboard home and consumer-grade GPUs. > Lower-cost execution of smaller open-source models. Intelligent node selection based on price, speed, load, and reliability. A simple onboarding experience for GPU providers, similar to running mining software. However, these advantages alone do not create a lasting competitive moat. GPUGrid’s long-term advantage will emerge only if it builds the largest low-cost consumer GPU network, offers the fastest OpenAI-compatible integration, and proves its lower inference costs through transparent, real-world benchmarks. I'll keep an eye on developments.
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