Ranknetix

Ranknetix is a decentralized SEO platform using AI & blockchain to improve rankings and reward $RNX stakers. Join us:

[glassnode @glassnode]

An Early Black Friday

Bitcoin’s rally to $126k reversed amid macro stress and a $19B futures wipeout. ETF inflows slowing and volatility spiking, the market enters a reset phase marked by a historic leverage flush.

Read the full Week On-Chain below👇
https://t.co/Osm96VjuJg

[Will @WClemente]

The resolution/quality of the display on the 17 pro is next level by iphone standards

[Michaël van de Poppe @CryptoMichNL]

Last week, we've had a massive collapse on the markets.

Security & custody is a very important topic for #Altcoins & #Bitcoin.

That's why, in this episode, we discuss how $11 billion in $BTC is secured with this system, with Joe Kelly of @unchained:
https://t.co/jMN19nKghO

[Crypto Banter @crypto_banter]

🚨 BREAKING: @coinbase to list $BNB 🟢

[Barry Silbert @BarrySilbert]

Was a big week for Bittensor $TAO

Both Grayscale and Yuma Asset Management pioneering access for investors

[Ranknetix @Ranknetix]

Ranknetix is such an exciting project—using AI and blockchain to redefine SEO for Web3 is a game-changer. The $RNX token utility and performance incentives make it even more innovative!

[CryptoSlate @CryptoSlate]

5 things that need to happen for Bitcoin to stay above $100k

via @akibablade

https://t.co/eAjqRwhyvm

[Gary Marcus @GaryMarcus]

Yep, a bailout is coming. “too big to fail” (and too stupid to factor in depreciation), yada yada.

[Gemini @Gemini]

USDC and USDT transfers are now supported on Solana, giving you higher speed and lower costs.

[Ranknetix @Ranknetix]

Zero-Knowledge technology meets decentralized SEO with Ranknetix! 🌐

𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬:
🔒 Privacy-preserving analytics for $RNX campaigns
📊 Competitor metrics validated without exposing sensitive data
🏆 Reputation NFTs secured by ZK proofs

Dominate rankings. Earn rewards. Stay private. Powered by $RNX.

#Web3SEO #Blockchain #ZeroKnowledge

[OKX @okx]

📢 #NewListing

OKX will list $YB @yieldbasis!

🟢 $YB/USDT Spot trading will begin at 11:00 AM on 15 Oct(UTC).

More: https://t.co/cl5QPsh6i0

[Paul Jankura @Anthropic]

Wordle 1,577 5/6

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🟨🟩🟩🟩⬛
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🟩🟩🟩🟩🟩

[Ranknetix @Ranknetix]

🔍 𝐃𝐞𝐞𝐩 𝐝𝐢𝐯𝐞 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐩𝐨𝐰𝐞𝐫 𝐨𝐟 𝐨𝐟𝐟-𝐜𝐡𝐚𝐢𝐧 𝐜𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐑𝐚𝐧𝐤𝐧𝐞𝐭𝐢𝐱! 🚀

Ranknetix seamlessly integrates off-chain AI processing with on-chain validation, making SEO optimization smarter and more efficient. Here's how:

✨ 𝐀𝐈-𝐝𝐫𝐢𝐯𝐞𝐧 𝐌𝐚𝐫𝐤𝐞𝐭 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬
Using advanced NLP and ML models, Ranknetix analyzes real-time market trends, token reputations, and search behaviors off-chain. The results? Actionable insights that are validated on-chain for transparency.

💡 𝐄𝐜𝐨𝐧𝐨𝐦𝐢𝐜 𝐑𝐨𝐥𝐞 𝐨𝐟 $𝐑𝐍𝐗
$RNX isn't just a token—it fuels the ecosystem. Users earn rewards for contributing off-chain SEO data or improving rankings through Stake-to-Earn models. All validated and tracked on-chain!

🎯 𝐍𝐅𝐓-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐑𝐞𝐩𝐮𝐭𝐚𝐭𝐢𝐨𝐧
Ranknetix ties dynamic SEO performance scores to NFTs using off-chain calculations. These scores evolve in real-time and represent a user's SEO prowess, with direct utility in governance and ad prioritization.

📊 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐒𝐄𝐎
Off-chain AI crunches massive data sets to predict keyword trends and optimize ad performance, ensuring users maximize ROI while minimizing costs.

Ranknetix proves that off-chain computing is the backbone of scalable, intelligent Web3 applications. With $RNX driving incentives, it bridges the gap between efficiency and transparency.

🌐 #BlockchainSEO #RNX

[Andrej Karpathy @karpathy]

Excited to release new repo: nanochat!
(it's among the most unhinged I've written).

Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI.

It weighs ~8,000 lines of imo quite clean code to:

- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with "GRPO"
- Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI.
- Write a single markdown report card, summarizing and gamifying the whole thing.

Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc.

My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.

Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.

[Paolo Ardoino 🤖 @paoloardoino]

Pear to Pear 🍐🍐

[Luke Gromen @LukeGromen]

The signals lined up before — they’re lining up again.

Here’s what we forecasted, and what happened next.

Get “What we said and how it played out”, Vol. II here. 👉 https://t.co/ZYFQ3xCla4

[Watcher.Guru @WatcherGuru]

JUST IN: Gold reaches new all-time high of $4,100.

[vitalik.eth @VitalikButerin]

This is a good decision and I respect it.

Not every business should be trying to appeal to many customers as possible in the name of "not being maximalist". We need the stubborn ones who believe in their cause and their tribe and see their work as a labor of love to it.

[Preston Pysh @PrestonPysh]

Ever wonder what the hell happened when @sama was removed from @OpenAI . Or how ChatGPT rose to the prominent role it’s currently in?

@sebbunney and I discuss that and much more in this week’s episode.

[Ranknetix @Ranknetix]

Exciting times for the crypto space! Ethereum climbing back over $4,000 showcases the resilience and potential of the ecosystem. 🚀

[Rand Group @randgroup]

💥BREAKING: #Ethereum is back over $4,000

[Binance @binance]

Resolution of USDE, BNSOL, and WBETH Price Depeg and Risk Control Enhancements 👇
https://t.co/Tvrkj1Viwc