“Attention Is All You Need” is the seminal paper that set off the generative AI revolution we are all experiencing. Raise your GPUs today for these incredibly smart and important people.
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We know Muricans don’t want bikes, so EVs are the next best thing. Why people are not buying EVs? Lack of infrastruture. But ofc, republicans won’t let this happen because they want to appease their fossil fuels donors.
Edit: just enough communal charging stations.
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# Spontaneous mind wandering linked to heavier social smartphone use | The findings suggest that this link is influenced by a mental tendency called online vigilance, and that mindfulness might weaken the connection.
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Hey all.
I’m Cosmo, co-founder of EVA. I’m an avid Reddit reader (see lurker), so it’s a real pleasure to kick off this AMA with the r/CryptoCurrency community.
You can explore what we’re building at [https://linktr.ee/eva\_ai](https://linktr.ee/eva_ai) \- the home of Web3’s most advanced security-first tools.
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**What is EVA?**
EVA is a security-first AI layer for Web3.
From sniper bots to browser extensions, our ecosystem protects and empowers thousands of traders across Telegram, DeFi, and dApps.
We’ve built the tools real users actually need:
🔶 **Instinct:** A Pectra-native Telegram sniper bot with lightning speed, lthe cheapest fees, privacy built-in, and honeypot protection that works.
🔶 **Intel:** Bulk audit every EVM deployment to give smart alerts, token tracking, and real-time contract audits- fully customizable and AI-powered
🔶 **Sentinel:** AI Antivirus for web3. A browser extension that protects you whilst you surf.
🔶 **API:** Plug-and-play AI security now live in over 50 partner platforms
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**Highlights**
⚡️ **Growing ARR:** Over 50 partners now pay monthly to integrate our AI security tools – with recurring revenue on track to exceed 180 ETH annually.
⚡️ **Built-in buybacks:** Every transaction via Instinct burns $EVA, making our growth deflationary by default.
\———-
**The Big Picture**
Security isn’t just a feature anymore, it’s the foundation.
Our mission is to make sure protection is baked in before the damage is done.
We’ve already hit product-market fit with tools that are live across some of your favourite Ethereum projects. The revenue is real and the impact is measurable.
We’re a lean, responsive team that builds fast and listens closely.
**So drop your questions below. Excited to chat with all of you.**
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Hey devs,
Every time I started a new Web3 project, I’d lose an hour just setting up Next.js, Wagmi, RainbowKit, Tailwind, Privy, etc.
So I built[`create-w3-app`](https://github.com/gopiinho/create-w3-app) — a CLI that sets up everything in **one command**:
* Next.js App or Pages Router
* Tailwind or Shadcn UI (Optional)
* RainbowKit or Privy auth options
* Wagmi + Viem (Optional)You just choose what you need, and it spins up a clean, minimal repo — no bloat, no junk.
[Youtube Demo](https://www.youtube.com/watch?v=CZv-5CdINIo) & %5BGithub%5D(https://github.com/gopiinho/create-w3-app)
Would love feedback — and if there are any features you’d want added, let me know!
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Best Aesthetic things dropship supplier in India
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>
**tl;dr** \- Fine-tuned Qwen3 1.7B – called HyprLLM – which outperforms llama 3.2 3B in summarization for user experience because “vanilla” models suck at summarization.
**Context** \- I am building an [open-source](https://github.com/fastrepl/hyprnote) privacy-first AI notetaker for people in compliance-sensitive environments. It uses on-device AI models to process everything locally. Used to use llama 3.2 3B q8 which sucks at summarizing so had to post-train a new model.
**Selection** \- Juggled between Gemma and Qwen. But found Qwen to show more promising results.
**Preparing** \- Since I can’t get user data, I had to create a pipeline for synthetic data generation.
**Training** \- Just boring stuff. Used Modal.
Planning to fine-tune whisper as well. Also trying to create next version for HyprLLM for multi-lingual support; our user base is global.
Would love to get any tips on synthetic dataset generation or suggestions on models!
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