eliot
9.7K posts
eliot
@cryptowoodd
a chill web3 boi learning + creating Contributor: @ritualfnd | @SeismicSys | @megaeth
Ritual Story Challenge 🕯️ Every Ritualist has a beginning. The first day. The first doubt. The first belief. What’s your Ritual story? How did you get here… and what made you stay? Quote this post, tell your story and Let’s build the culture together ❖
Via is building on Seismic. A global account for internet-native businesses, now using Seismic to power private > multi-currency accounts > cross-border payments > flexible credit lines
💚gRitual A new Ritual Research Digest dropped. This week, instead of summarizing each paper separately, I’ll go through it over five days as an Agent Capability Map — from a beginner’s point of view. ➞ The focus is simple: What is changing about AI right now — and why does Ritual care? Today, we begin with evaluation. [ Can AI actually do research? ] The first paper introduces ResearchGym. It’s not a benchmark that checks whether AI gives the right answer. It evaluates whether an agent can complete a full research task. ➞ That means: • understanding a goal • exploring a codebase • writing code • running experiments • analyzing results. So instead of testing knowledge, it tests execution. For beginners, this is the key shift: We are moving from “Did it answer?” to “Did it finish the work?” ❖ What changed? Traditional benchmarks measure accuracy. ResearchGym measures workflow. Instead of solving isolated questions, the agent operates inside a real research environment. It must plan, act, observe results, and adjust. Answering correctly is a single step. Completing a task requires consistency across many steps. And that’s much harder. ❖ The surprising result Strong agents can sometimes outperform baselines on individual subtasks. But overall, the average completion rate is only about 26.5%. ➞ This tells us something important: Agents are capable — but not yet reliable. They can succeed in parts, yet struggle to carry the entire process through. ❖ Why this matters We often think AI progress means larger models and higher scores. But once we measure real execution, performance looks different. Fluent output is not the same as sustained behavior. And real-world systems depend on sustained behavior. ❖ Position in the Agent Map Day 1 sets the foundation. Before we talk about better architectures or scaling, we need better evaluation. If we don’t measure execution properly, we misunderstand capability. Tomorrow, we look at how architecture itself is shifting toward agentic design. ❖ Daily takeaway AI is starting to act more like a researcher than a chatbot. But acting is harder than answering. And that’s where the agent transition truly begins. @ritualfnd @joshsimenhoff @Jez_Cryptoz @whitesocks256 @mongdiny7 @ritualdigest
Siggy isn't riding the blockchain today but a "Xích lô" through a street blooming with flowers Chilling on a vintage wooden ride, holding a tiny green @ritualnet in his paws, Siggy feels like he's traveling between tradition and the future where culture meets technology, and every moment becomes a memorable Ritual. Who's hopping on the "Xích lô" for a ride with Siggy?
The uncomfortable truth about AI on-chain. Fully verifying every AI computation is expensive. But blindly trusting it defeats the whole purpose of crypto. So Ritual introduces something smarter: probabilistic verification. Instead of re running the entire model, the network verifies execution using statistical proofs. You get strong confidence the model ran correctly without paying the full cost of recomputation. This makes large scale AI actually practical on-chain. Lower cost. Higher scalability. Still verifiable. Probabilistic Proof Machine Learning (PPML) is part of Modular Computational Integrity on @ritualnet Not every workload needs maximum cryptographic weight. Sometimes confidence, backed by math and incentives, is the most efficient path forward. This is how AI becomes usable at real scale in crypto. | @ritualfnd | @joshsimenhoff |
Via is building on Seismic. A global account for internet-native businesses, now using Seismic to power private > multi-currency accounts > cross-border payments > flexible credit lines
