Name Grad

6.1K posts

Name Grad

Name Grad

@NameGrad_

Find fortune on my Timeline 👇💰|🖊️Naming ideas not only domains💡|Naming Business|Domains for sale

Se unió Nisan 2023
2.2K Siguiendo692 Seguidores
Name Grad
Name Grad@NameGrad_·
Hey Friends!! The domains I sold at wholesale prices.. JLT. ai Vdeo. ai Kema. ai TheAiBet. com Geopatriation. Com ReasoningIQ. Com QuantAgentic. Com TotalAgentic. Com Offering a few more at wholesale. List below 👇 DM if interested in any of it or a Bundle deal 🤝
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Name Grad
Name Grad@NameGrad_·
SkillsProdigy. com ProdigySkills. com SkillsPolish .com PolishSkills. com IQ Mythos. com Energy Mythos. com Visualz. app SkillsRabbit. com FrontierSpeed .com FrontierFast. com BotsComputer. com RobotsComputer. com Compute-r. com Human-wisdom. com
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Name Grad
Name Grad@NameGrad_·
AgentiveQuant. com AgentiveBox. Com SkillsMail .com SkillsComputer. com EternalSkills. com CortexPrism. com WellnessOpinion. com QuantWorkflow .com QuantNous. com Coefficients .app InferenceLinks .com ReasonQuant. com Visual iq .app Visionix. app Charaqter. com Outlooq. com
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Tony
Tony@TonyNames·
After a very very long time. One is rare. 2 is a sight to share
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All day Astronomy
All day Astronomy@forallcurious·
Scientists have created computers with living human neurons that learns on their own This might be the beginning of artificial consciousness!
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SciTech Era
SciTech Era@SciTechera·
My brain broke after reading this paper 🤯! Quantum computing just took a serious step toward breaking classical AI limits. MIT Scientists just showed that small quantum computers can outperform EXPONENTIALLY larger classical systems on massive datasets. In a new study, researchers introduced a framework called Quantum Oracle Sketching, where instead of loading entire datasets, the system streams random classical samples, processes them in quantum superposition, and then discards them. This directly bypasses the biggest bottleneck in quantum machine learning, which is data loading 👀 The results are honestly kind of ridiculous. A system with fewer than 60 logical qubits can perform core machine learning tasks that would require exponentially larger classical memory, translating to roughly 10,000× to 1,000,000× smaller system size. They validated this on real data, including single-cell RNA sequencing and movie review sentiment analysis, and showed it works across fundamental tasks like classification, dimension reduction, and linear algebra. They also used Classical Shadows to efficiently extract useful outputs from quantum states, solving another long standing limitation. This matters because modern AI is basically brute force, more data, more GPUs, more cost.
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Aravind Srinivas
Aravind Srinivas@AravSrinivas·
Perplexity Computer is more reliable than a CPA for filing taxes.
Lequn Chen@abcdabcd987

@Yuchenj_UW Perplexity Computer saved me $14k in tax. It found 2 double taxing errors and 2 form filling errors from my $2000-CPA's draft, which CPA fully agreed. In another thread, I let it compute tax from scratch. It's correct to the cents.

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Domainer
Domainer@ChosenDomain·
Alhamdulillah Small sales
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Name Grad retuiteado
Name Grad
Name Grad@NameGrad_·
Happy to share that Name Grad has entered into the Fortune 500 group today! 😆🎉🍻 Thanks to the Domainer's community on 'X' for all the guidance. Now hoping for some good sales to continue🤞
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Darpan
Darpan@darpanmunjal·
they say never accept the first offer… but this one is tempting
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Name Grad
Name Grad@NameGrad_·
Tibo@tibo_maker

more founders are choosing bootstrapping over VC - liquidity events now take 14 years on average. up from 7. that's your entire 30s waiting for an exit that might never come. - bootstrapped startups are 3x more likely to be profitable within 3 years. VC-backed companies optimize for growth metrics, not money in the bank - preferred shares mean founders often walk away with nothing. even when the company "succeeds," VCs get paid first. sometimes that's all there is - bootstrapped companies spend 1/4 of what VC-backed startups spend on customer acquisition and grow just as fast. capital efficiency wins - VCs can force a sale whenever it suits them. drag-along clauses give them that power. you built it, they decide when to sell it - fundraising takes 4-5 months of full-time work. that's 4-5 months not building your product or talking to customers. most founders who reach traction don't need VCs anymore by then - AI tools let solo founders build what used to require a 10-person team. the capital requirement that made VC necessary is disappearing - 38% of startups now launch without external funding. up from 26% in 2019. the shift is already happening - most VCs are not operators. they can pressure you to grow but can't help you build. the "value add" is often just intros to other portfolio companies - VC money outside of AI has dried up. if you're not building AI, you're fighting for scraps anyway - a $10M business you own 80% of beats a $100M valuation where VCs control the outcome. math is math - the ZIRP era is over. cheap money inflated VC activity for a decade. that's not coming back - founders are getting ousted by their own boards. the company you built becomes a job you can be fired from - VC turns you into a middle manager of your own company. board meetings, investor updates, formal reporting. you didn't quit your job to get another boss - the pressure to hit arbitrary growth targets breaks people. chasing 3x year over year because your investors need it, not because your business needs it - you stop building what customers want and start building what looks good in a pitch deck. that's how products die - VCs funded hundreds of AI startups in the last few years. most are already dead or irrelevant. the foundation model companies just absorbed their use cases - when funding dries up, VC-backed companies panic. bootstrapped companies just keep going. you're already used to operating lean. you started a company for freedom. VC often takes that away if the business feeds your life and you control it, why give that up?

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