Good crypto x AI projects leverage the features of crypto to overcome limitations faced by AI. Here are three examples of challenges of AI: 1. Resources. To be competitive as an AI company you need to aggregate significant resources (compute and data) and talent. 2.

Today I'm launching my new company General Agents and our first product. Introducing Ace: The First Realtime Computer Autopilot Ace is not a chatbot. Ace performs tasks for you. On your computer. Using your mouse and keyboard. At superhuman speeds!

Majority of the AI team at Stability AI who produced state of the art models/datasets across multiple modalities had at most a few years of AI experience 20% had PhDs Just do fast.ai courses, dive in & have fun & you don’t know what will come next Never easier

Today we’re launching INTELLECT-2: The first decentralized 32B-parameter RL training run open to join for anyone with compute — fully permissionless. Scaling towards frontier reasoning across coding, math and science.

don’t trust. verify.

between this release of Gemma and the performance of Gemini 2.5 Pro, google has been cooking hard

notice how tools & products with embedded agents (like o3 and claude code) have amplified people’s agency, instead of taking it away. lesson in there

EigenDAs goal is cloud-scale throughout at crypto grade trust. The testnet easily hits 50MB/s. The team ships like crazy. 50 megabytes-per-sec is 400Megabits/s. The encoded data rate is 8x which is 3.2Gigabits/s. Many teams talk about this number when referring to throughput

Good post from Balaji on the "verification gap". You could see it as there being two modes in creation. Borrowing GAN terminology: 1) generation and 2) discrimination. e.g. painting - you make a brush stroke (1) and then you look for a while to see if you improved the

The evolution is here. The age of verifiable apps has begun. Introducing EigenCloud, a platform for verifiable apps, services, and AI, built on EigenLayer, secured by the EIGEN token. ☁️ Crypto has spent a decade building trustless infrastructure. Now it's time to build on it.

Agency is the new world order. Verifiability makes it user-aligned. Welcome to the era of aligned intelligence on EigenCloud.

the range of what you can build with Inco is incredible in this comprehensive guide, we provide 30+ examples of Inco use cases 🏦 onchain finance 💸 payments 🃏 gaming ➕ much, much more get the full guide ⬇️

I really like the term “context engineering” over prompt engineering. It describes the core skill better: the art of providing all the context for the task to be plausibly solvable by the LLM.

With AI, everyone’s gonna be cheating soon. How do you know you’re not being cheated? Check for yourself with EigenCloud. First of many.

Product culture fit.

If the computer is a bicycle for the mind, then AI is a rocket for the mind.