RAIR

📢 DevDapp is LIVE! The wait is over! DevDapp is officially launched at #ETHDenver. 🚀 Start earning rewards for your Web3 contributions today! #Code2Earn

We build GitHub on GitHub. 🛠️ We use the same tools we ship to you, including GitHub Copilot. It's evolved beyond just autocomplete. Inside our core repo, it’s now an active contributor that: 🤖 Gets assigned issues 📂 Opens pull requests ⚡️ Tackles tedious tasks Here's how it works. ⬇️ github.blog/ai-and-ml/gith…

Just checked out a startup that just raised at $50m post pre-revenue The entire site was created on Lovable. Inspect code. I am all in on vibe coding, don't get me wrong. But I do wonder if the VCs know.

Money will continue to be important with artificial superintelligence because we will still have private property, and private property necessitates money. There will continue to be scarce assets like prime real estate, front row concert tickets, even NFTs with good provenance. More and more people will be paid to play games and do other jobs that we think of as leisure now. Consider chess, one of the first intellectual domains in which AI achieved superhuman performance. People were saying chess was dead after Deep Blue beat Kasparov in 1997. Now, nearly 30 years later the chess industry is 5-10x bigger with over 3x the grandmasters.

I’m starting to get into a habit of reading everything (blogs, articles, book chapters,…) with LLMs. Usually pass 1 is manual, then pass 2 “explain/summarize”, pass 3 Q&A. I usually end up with a better/deeper understanding than if I moved on. Growing to among top use cases. On the flip side, if you’re a writer trying to explain/communicate something, we may increasingly see less of a mindset of “I’m writing this for another human” and more “I’m writing this for an LLM”. Because once an LLM “gets it”, it can then target, personalize and serve the idea to its user.

in the age of ai, the question everyone's asking is "will i be replaced?" the real question is: do you know yourself well enough to become irreplaceable? everyone's getting access to the same models. same tools. with growing capabilities. the playing field is leveling fast. but here's the thing: Cursor doesn't think for you. it amplifies you. it takes your agency – your unique way of seeing problems, your taste, your judgment, your weird specific obsessions – and scales it 100x. it takes your strengths – the things only you are uniquely good at, the perspectives only you have from your specific life path – and makes them exponentially more powerful. the humans who win in this era aren't the ones with the best prompts or the most tokens. they're the ones who know themselves deeply. who have conviction about their unique point of view. who've done the hard work of figuring out what only they can do. ai is a mirror and a multiplier. if you're generic, it makes you more generic. if you're exceptional and know your strengths, it makes you unstoppable. your agency + your strengths + ai = where you become 100x more valuable and powerful. the question isn't whether to use tools like Cursor. it's whether you believe in your own agency enough to use it right. the humans who deeply know who they are, what they believe, and what they're uniquely great at – those are the ones who'll build the future. find your way. lean into your strengths. believe in human agency. then let Cursor amplify the hell out of it.

1/ Today, The Account Abstraction Team & @VitalikButerin are publishing something we’ve talked about for years but never wrote down clearly enough: The Trustless Manifesto. And we’re putting it where it belongs: onchain. trustlessmanifesto.eth → trustlessness.eth.limo

We've raised $2.3B in Series D funding from Accel, Andreessen Horowitz, Coatue, Thrive, Nvidia, and Google. We're also happy to share that Cursor has grown to over $1B in annualized revenue and now produces more code than any other agent in the world. This funding will allow us to invest deeply in research and build Cursor's next magical moment.

Token sales are so back. Launching tokens has always been a core part of the crypto ecosystem. It’s been a source of incredible innovation and product development. But it’s also caused serious problems - unfair access, max extraction, and misaligned incentives - all of which harm consumers and prevent crypto from growing. There have been some solid improvements (e.g. Echo/Sonar), but bad token launches in the broader ecosystem are still unfortunately common. Our team spent a long time studying all of the things wrong with token launches, and designed a new model to try to fix all of those things. Token sales on Coinbase are designed to give users early access to their favorite projects, and reward real, loyal users through our allocation algorithm. Our systems also penalize behavior like flipping, aiming to align incentives between projects and their community. I’m also happy to say that retail users in the United States will now be able to widely participate for the first time since 2018. We see this as a big win for the crypto-economy in the US, and a strong signal of the positive regulatory progress for crypto. Launching a token is a big moment, and doing it right matters for everyone: the issuer, the buyers, and all of crypto. It’s about time teams have a way to do it right.

One of my favorite recent additions in @nextjs is the precise time attribution of compiler/framework vs userspace. Basically 🔵 framework code vs 🔴 your code. One of the consequences of @nextjs being so popular (13M weekly downloads) is that you get to field a *lot* of 𝕏 posts and feedback on performance that's a bit… light on details. Prior to this change, it was very easy to conflate: ▪️ the compiler taking long ▪️ your 𝚙𝚛𝚘𝚡𝚢.𝚝𝚜 being slow ▪️ your database being slow ▪️ your internet being slow ▪️ rendering a huge component tree ▪️ … you get the gist. Subtleties like this are make-or-break for devtools and platforms. Attribute time wisely.

The paper shows how an LLM can hide a full message inside another text of equal length. It runs in seconds on a laptop with 8B open models. First, pass the secret through an LLM and record, for each token, the rank of the actual next token. Then prompt the model to write on a chosen topic, and force it to pick tokens at those ranks. The result reads normally on that topic and has the same token count as the secret. With the same model and prompt, anyone can reverse the steps and recover the exact original. These covers look natural to people, but models usually rate them less likely than the originals. Quality is best when the model predicts the hidden text well, and worse for unusual domains or weaker models. Security comes from the secret prompt and the exact model, and it gives the sender believable deniability. One risk is hiding harmful answers inside safe replies for later extraction by a local model. ---- Paper – arxiv. org/abs/2510.20075 Paper Title: "LLMs can hide text in other text of the same length.ipynb"

Goblin strategy launched this morning and used 400e to buy 5% of the supply of Goblintown NFTs in 27 minutes The floor is back to where it was 27 minutes ago

Investors, Web3 doesn't have to be a Gordian knot. We're cutting through the complexity. 📊 DevDapp's AI is already paying over 3,300+ developers across 29 repositories. Our on-chain metrics provide clear, verifiable traction. This isn't just hype—it's a bet sharper than Occam's razor. See the data. devdapp.com #Web3Solid #InvestInWeb3 #BlockchainMetrics #DevDapp

GitHub is where Web3 gets built. 🤝 DevDapp is simply the system that makes sure your contributions pay off. Our AI rewards your commits, tracks it all on-chain. We're building essential infrastructure, not just chasing trends. For communities that value real code. devdapp.com #Web3Infra #DeveloperRewards #GitHub

Your code is doing the heavy lifting for Web3 ecosystems. It's time that paid off directly. DevDapp is built for fairness —Our #AI identifies your @github contributions, pays directly to your wallet, and tracks it all transparently. This is how real dev communities get stronger – by ensuring everyone gets compensated for their work. Check it out: devdapp.com #DevDapp #Web3 #CodeToEarn

Hackathons spark, then fade like Icarus. 🔥 DevDapp sustains. GitHub bounties. AI-tracked PRs. Tokens keep coders soaring. #HackathonVibes devdapp.com

NYC represent! 🗽 Our CTO, Garrett Minks, is 🔥 on a panel hosted by Flow right now! DevDapp making moves and sharing our vision. Check out what we're building: devdapp.com #DevDapp #Web3 #Flow #NYC #Blockchain

> 𝐓𝐡𝐞 𝐭𝐰𝐨 𝐬𝐢𝐝𝐞𝐬 𝐨𝐟 𝐞𝐯𝐞𝐫𝐲 𝐇𝐚𝐜𝐤𝐚𝐭𝐡𝐨𝐧: 🎉 𝐁𝐞𝐟𝐨𝐫𝐞: 𝐀𝐥𝐥 𝐬𝐦𝐢𝐥𝐞𝐬, 𝐞𝐱𝐜𝐢𝐭𝐞𝐦𝐞𝐧𝐭, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡 𝐡𝐨𝐩𝐞𝐬 😩 𝐀𝐟𝐭𝐞𝐫: 𝐄𝐧𝐝𝐥𝐞𝐬𝐬 𝐛𝐮𝐠𝐬, 𝐛𝐫𝐨𝐤𝐞𝐧 𝐜𝐨𝐝𝐞, 𝐚𝐧𝐝 𝐜𝐚𝐟𝐟𝐞𝐢𝐧𝐞 Tag your hackathon gang who lived through both phases! #HackIndia #HackIndia2025 @SharpEconomy @SingularityNET @CsharpCorner @CSharpDotTV @stratisplatform @DeepFunding @BeyondtheCodeAI @rairprotocol

@EdPradoDevDapp is on fire! 🔥 Our CEO is speaking at "Building Impact with NFTs: Leveraging AI and Data for Positive Network Effects." Always pushing the boundaries on how Web3 can create real-world value. See how we're building the future: devdapp.com #NFTs #AI #Web3 #PositiveImpact #DevDapp #Blockchain #Innovation @flow_blockchain

Devs, your PRs deserve more than claps. 😎 DevDapp’s AI labels tasks. Sends tokens. Fork a repo, code, transcend “exposure.” Coded for the Sisyphus in us. #CodeWorth