Introducing the Platåberget testnet! Its our Glamsterdam focused testnet to help the community test all the upcoming changes. Please get involved with the testing efforts!
blog.ethereum.org/2026/08/17…
The Platåberget testnet is one of the last steps before we start deploying changes on long lived testnets and eventually Mainnet. So Glamsterdam is close!
Get involved by running a node/validator, deploying contracts, testing your favourite dapps and interacting with the chain in all the ways you love! Break things now rather than on Mainnet :)
The new Deepseek V4 flash 0731 ranked highly on our ethiq leaderboard greatly improving on execution specs +17 and consensus-specs +15 questions over the previous checkpoint.
We self hosted the model with thinking set to Max.
It even beat out Claude Opus 5 due to refusals.
We built Panda, a CLI/MCP tool that lets agents work directly with our observability data.
We found that if you give the agent a code sandbox and a library for your stack, things start to click together very nicely.
Post below 👇
We've learned some lessons along the way. This one is a must read for anyone seriously using agents (even outside of Ethereum!)
ethpandaops.io/posts/panda/
Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.
Available today at the same price.
ALT Benchmark table showing how Claude Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks.
We built a simulator for the fast confirmation rule, and replayed a years worth of blocks and attestations on Mainnet.
Across 800,000 mainnet slots, roughly 96 out of every 100 slots would have been fast-confirmed within 12 seconds.
Zero false confirmations.
Read more below!
New in The Lab: Validator Report.
Paste validator indices, pick a range, scan performance, and drill from day -> hour -> slot to find exactly what happened.
Catch missed proposals and head-vote drops faster.
It turns out some AI models can step through EVM bytecode in their head.
We built EthIQ, a new benchmark to test how well models actually understand Ethereum protocol internals.
325 questions across two evaluation modes, and one alive canary 🐦
Read more 👇
We tested 44+ models across EVM execution, consensus state transitions, fork choice, and more. Anti-memorization is baked in. Inputs are mutated from the official spec fixtures so training data is ruled out.
The results were... surprising.
Check it out: ethiq.ethpandaops.io