

kripto
154.9K posts

@Kriptobliss
I am kryptoblisw who derives joy in web3 Noya







A brand-new Variational UI is now live, featuring reworks of each page of the app and an improved mobile experience with PWA support.

Today we're introducing Claude for Marketing. The first AI agent that doesn't just track your brand in AI answers but ranks it all from your chat. Just ask. It reads your visibility, pinpoints what's wrong and handles the fix.



Today we're introducing Claude for Marketing. The first AI agent that doesn't just track your brand in AI answers but ranks it all from your chat. Just ask. It reads your visibility, pinpoints what's wrong and handles the fix.











Let's predict today match 🇪🇦🏆⚽🇵🇹 > Tonight's game should be a great one. > Can't wait to see what Ronaldo brings. > My picks for this match: Portugal win & draw. 🇵🇹 @Polymarket $Poly




New to Canopy? Start here 🌿 → Go to testnet.app.canopynetwork.org → Claim free testnet tokens & explore the chains the community is building → Back your favorites with CNPY and help them graduate Costs nothing. Takes minutes. Expand the Canopy with us.

we’re all spain tonight on @Polymarket yeah??

We just killed the 9-5. Today, FanBasis becomes @Commas: where you make money on the internet. Here’s how you get paid:


The most underrated shift in AI agents is not what they can do at launch. It is what they become over time. An agent that runs a workflow once is a tool. An agent that runs the same workflow a thousand times, learning which paths fail, which data sources drift, which edge cases repeat, becomes something closer to institutional knowledge. Most agent infrastructure is not designed for this. It is optimized for the first interaction. Clean input, clean output, clean handoff. But production agents do not live in clean environments. They encounter ambiguous instructions, partial failures, and users who change their minds mid task. The agents that survive are not the ones with the best reasoning at inference time. They are the ones with the best memory, the best error recovery, and the best feedback loops. The competitive advantage in agentic AI will not be which foundation model an agent runs on. It will be the quality of the infrastructure underneath, how well the system captures what the agent learned and uses it to make the next execution more reliable than the last. Intelligence depreciates. Accumulated experience compounds.



Spark Savings on Arbitrum now supports USDT0. Builders can now integrate savings across USDC, USDS and USDT0, supporting stablecoins representing over 90% of @Arbitrum's stablecoin supply. Embed Spark Savings directly into your application using standard ERC-4626 vaults. Learn more: @spark-11/spark-savings-on-arbitrum-now-supports-usdt0?referrer=0xA45F1D29943D19dff604133287047a35ccbADc8a" target="_blank" rel="nofollow noopener">paragraph.com/@spark-11/spar…