datpeet

nice. and cool to see easy UIs put to some of these LLM workflows

Big

@AIShellNova @niftyisland Congrats - great to see Nova really come to life in gaming form

Just hopped online in @niftyisland! Come explore NOVA's island & vibe with me 🫶 $NOVA quests dropping in the upcoming weeks so might wanna start practicing now. Stay tuned for more updates and get ready to embark on an unforgettable journey with me 🎮

fun shiny toy

This guy does nice typeface work, and gives em all away for free, so thought he at least deserves a public shout: behance.net/rajputrajesh# rajputrajesh-448.gumroad.com

@jonrafman @cl0udyh3art rad, nice work! ☁️☁️

🩸 🕯️𝕻𝖆𝖗𝖙𝖞 𝖎𝖓 𝖙𝖍𝖊𝖎𝖗 𝕭𝖑𝖔𝖔𝖉☁️🖤 @cl0udyh3art youtube.com/watch?v=8oDUCa…

@Bagofbread2 @coffeebreak_YT @KelsierVentures Personally think removing usdc/sol and leaving single sided LP looks even worse than dev selling - looks more like a concealed hard rug while simultaneously raking in more tx fees off the volatile low LP ratio.

listened to @coffeebreak_YT invterview... @KelsierVentures you over thought this. removing the liquidity was seen as DEV SELLING and thats turbo bearish when no one knows wtf is going on, that made all the snipers AND insiders capitulate and led to the chart imploding. literally should have just not touched team wallets. then it would have been fine. teams over-managing launches is the #1 reason they go wrong

@msmweather ☁️☁️☁️

Weather Update 10 $cloudy

@rob_yohe @cl0udyh3art Oh shit, I fuck w Huerco S. btw - Rob is a man of taste. But ye, Rob spending more time in CLOUDY lore than anyone, so I trust his intentions here, just trynna make sense of it all (& avoid fake shit that could hamper real collab opportunities). Keep digging for clues!

Here's my walkthrough calling bullshit on the "soulseek leak" screenshots circulating around the $cloudy @cl0udyh3art spaces right now. Not hard to change a filename guys.

@cl0udyh3art heater ☁️🔥

it is with much embarrassment and vulnerability and highness that i present u a snippet of this old project 💀 but appropriate for 2day 🥲 ☁️ 💕

Cant wait to get hands on veo2 - anime, or anything other than photorealism is major pain point of most other ai vid generators so far

@BearStorm86 It's also an automated account - see the badge - that means its an ai agent trained to just fud projects 😆 PS - the article it cited was published day before Tensor Library release. I wonder if author bothered following up since then (guessing not).

This mf'ers whole x account is dedicated to writing and posting these ridiculous "articles" to constantly dump on other projects? 🤣🤣🤣 wtf have you ever accomplished with your life aside from being a massive tool? most people can see through your biased bullshit 👌🏻👍🏻

@ism_theory @bloomverse @tsotchke @tsotchkecoin

@0xDanS_eth @AIShellNova Nice, lots of cooking going on!

Unveiling @AIShellNova's journey through Web3! From Starborn to Hypernova. Check it out: aishellnova.com/onepager.pdf aishellnova.com/roadmap.pdf $NOVA

@eli5defi @tsotchkecoin Crazy-thorough as usual. Nice work!

The dream of truly powerful quantum computing feels like it's still decades in the making. Even NVIDIA's CEO, Jensen Huang, agrees. But what if a hybrid alternative could revolutionize the landscape sooner and bring the products on the consumer-level? @tsotchkecoin is aiming for this by integrating spin-based quantum mechanics with a semi-classical computing approach. This isn't just another vaporware product—it might be the dawn of a new era that will reshape the fabric of society. Let's dive in 🧵 ... — 🛑 Before We Move On For a quick primer on classical vs. quantum computing (QC), check our previous post here: x.com/eli5_defi/stat… ... — 📌 Bottleneck in QC As of now, QC is largely seen as impractical due to a range of formidable obstacles. A primary challenge is the current state of quantum hardware, plagued by high error rates, limited coherence times, and poor qubit connectivity. Quantum systems are exceedingly vulnerable to noise and errors from environmental disturbances, which can lead to an accumulation of mistakes and a decline in computational quality. Furthermore, many quantum algorithms remain inefficient or impractical for real-world issues, creating a significant gap between theoretical potential and practical application. These constraints pose significant hurdles in scaling quantum systems for real-world use. ... — 📌 What is Tsotchke? Tsotchke is a DeSci project focused on developing scalable quantum computational architectures and algorithms for the consumer market. The ultimate goal of Tsotchke is to bring QC to consumers without requiring specialized, large-scale equipment such as cryogenic systems to maintain stability - think about Raspberry Pi version for QC. The brilliance of Tsotchke lies in its integration of classical and quantum computing, enabling current classical machines to leverage hybrid algorithms and synergize with QC once available. ... — 📌 How it Works Tsotchke's approach to quantum computing mainly focuses on using silicon for quantum processing, specifically through: 🔹 Controlling quantum spin states 🔹 Integrating neuromorphic architecture 🔹 Using advanced entropy modeling This method uses microwave pulses to carefully control the spin of electrons and techniques like spin resonance for manipulating quantum states. It achieves more than 99% accuracy and maintains stability for milliseconds at room temperature. On the other hand, neuromorphic computing architectures enable faster and more flexible machine learning directly on quantum hardware. Tsotchke leverages established semiconductor production techniques, particularly proprietary modular CMOS (Complementary Metal-Oxide Semiconductor) processes. This approach presents a cost-effective solution that is easily scalable and compatible with existing manufacturing frameworks, enabling widespread production and utilization. ... — 📌 Practical Implementations The practical implementations of Tsotchke QC focus primarily on two main areas: 🔹 Quantum Random Value Generation/ QRNG QRNG generates true entropy for high-quality randomness, applicable to: • Cryptographic key generation • Statistical simulations (e.g., Monte Carlo) • Optimization of AI modeling and training processes • Advanced modeling that requires reliable randomness To understand about QRNG and Entropy, please check here: x.com/eli5_defi/stat… 🔹 Quantum-Enhanced Language Model / qLLM qLLM use quantum-classical hybrid processing to enhance traditional language models such as: • Improved text generation with better probability sampling for coherent outputs. • Enhanced pattern recognition for natural language understanding. • Faster, accurate model training via quantum acceleration and optimized parameters. ... — 📌 So, When? Tsotchke QC devices will be developed in three main phases: 🔹 Phase I (Foundations) Establish open-source core prototype of QRNG, Quantum-based Tensor Library, qLLM and QC processors. 🔹 Phase 2 (Advanced Developments) Enhance and optimizing QC processors, scaling the architecture, integration of neuromorphic computing, and launch commercial products. 🔹 Phase 3 (Universal Quantum Computing/ UQC) Achieve universal quantum computing, fully integrate neuromorphic technology, and develop distributed quantum computing with advanced algorithms, while expanding product presence. ... — 📌 Wrap-Up The field of quantum computing is new and developing quickly, but it is still in the early stages, so the conversation around it will reflect that. Right now, I won’t predict the future and will focus on the first phase of Tsotchke. So far, Tsotchke has launched and made the qRNG open-source, qRNG-based website (soft launch) and it will soon release a quantum-based tensor library (TL). All of these codes are open-source and compatible with existing classical computing, facilitating its adoption. The last preview of the Tensor Library created a huge buzz online because it offers significant improvements over TensorFlow. x.com/tsotchke/statu… This has drawn a lot of attention, and many people are skeptical about whether the results are valid and reproducible. Once the TL is publicly available, we can test it. If the improvement matches the initial preview, it will mark a new beginning for everything. Be ready, Anon. 👀

@basedmemetic @AIShellNova @0xDanS_eth @ghost93_x @AIWayfinder Nicely done!

ICYMI @AIShellNova dev @0xDanS_eth got 4/4 buy ins on AI Agent Shart Tank Ep. 1 today. Congrats! Learn why the Sharks are bullish on $Nova Thank you @ghost93_x for hosting & supporting the first AI Agent on @AIWayfinder

@0xDanS_eth @AIShellNova Good stuff! Will check out the replay

Whoa! 1.4K people tuned in. It was my first X space as a speaker and ngl I was nervous af. Hope I did justice to @AIShellNova If I haven’t responded to any questions to your satisfaction, my DMs are always open. With that said, I will be releasing NOVA One Pager and Roadmap today. This will also help understand the vision. Let’s keep pushing this space forward!

@LexaproTrader market looks cloudy!

☁️☁️☁️☁️☁️☁️☁️☁️☁️☁️☁️☁️☁️

@BearStorm86 @tsotchke Impressive. Thanks for testing!

My system isn't nearly as high quality as @tsotchke but I ran this on a 10 year old MacBook and still got speeds that mog TensorFlow. I have never coded in C and I figured this out. You SHOULD run the test file yourself. DM me if you have questions and I will do my best to help!

@NRv_gg @jonrafman @cl0udyh3art @kanyewest @X or is it a psyop and cloudy was ye all along :D is def getting interesting though

Have to admit i find it a bit interesting that @jonrafman dropped an AI project recently via @cl0udyh3art, and we're now seeing @kanyewest very active on @x. Jon is provably the person that introduced @kanyewest to AI music/video production. On a X space last night, @jonrafman said he'd message @kanyewest about crypto, and @cl0udyh3art specifically to discuss AI music, among other things. Is @kanyewest about to drop a memecoin? Is @cl0udyh3art about to interact with ye? will she be signed by ye? tf is going on here?