setting up my dev account

inchain > onchain

@blockrotator OP is european

Labour Day Holiday in USA. The irony is just :chefs kiss:

@tarunchitra @maxresnick smh at these anon grifters

Ngl, last cycle behavior Every interesting problem at the intersection of crypto, math, and econ avoids continuous math regardless of what the "LVR influencer" zeitgeist (as @maxresnick would say) might claim

@0xBalloonLover 10b is fud. I just arb'd using my Starbucks Star balance

ever since that flashbots guy once said mev was 10b/year it's been open season on making numbers up

Introducing The AI Scientist: The world’s first AI system for automating scientific research and open-ended discovery! sakana.ai/ai-scientist/ From ideation, writing code, running experiments and summarizing results, to writing entire papers and conducting peer-review, The AI Scientist opens a new era of AI-driven scientific research and accelerated discovery. Here are 4 example Machine Learning research papers generated by The AI Scientist. We published our report, The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery, and open-sourced our project! Paper: arxiv.org/abs/2408.06292 GitHub: github.com/SakanaAI/AI-Sc… Our system leverages LLMs to propose and implement new research directions. Here, we first apply The AI Scientist to conduct Machine Learning research. Crucially, our system is capable of executing the entire ML research lifecycle: from inventing research ideas and experiments, writing code, to executing experiments on GPUs and gathering results. It can also write an entire scientific paper, explaining, visualizing and contextualizing the results. Furthermore, while an LLM author writes entire research papers, another LLM reviewer critiques resulting manuscripts to provide feedback to improve the work, and also to select the most promising ideas to further develop in the next iteration cycle, leading to continual, open-ended discoveries, thus emulating the human scientific community. As a proof of concept, our system produced papers with novel contributions in ML research domains such language modeling, Diffusion and Grokking. We (@_chris_lu_, @RobertTLange, @hardmaru) proudly collaborated with the @UniOfOxford (@j_foerst, @FLAIR_Ox) and @UBC (@cong_ml, @jeffclune) on this exciting project.

@tszzl sam you are better than this

i can't explain it but Everett is reddit millennial

@danrobinson @maxresnick Did you get to watch Phil debate Max? youtube.com/live/PhsJnEnsL…

This talk convinced me that Ethereum can implement multiple concurrent block proposers @maxresnick proposes a new design called Braid, based on the simple idea of running many instances of Ethereum consensus in parallel I think this could become a defining part of the roadmap

@GwartyGwart "hol up, I think I need a dao proposal"

Can you imagine a superintelligent AI in the singularity that is about to make a split second decision for the future of humanity but has to pause and be like “hang on, I need to make sure this is ok with the venture capitalists that own my cryptocurrency token”

@bertcmiller @crackberrypi pain.png

@crackberrypi I think none of it was recorded :(

One of the more fun events at ETHCC for me was the ETHMagicians track where a panel of MEV relevant folks did a townhall style discussion with a bunch of Qs (some, uh, spicy) from the audience. Probably doesn't scale past a certain size, but was unique and cool.

@vvoyer @AnthropicAI @nextjs @vercel Son of Anton

I built a GitHub PR reviewer bot using: - @AnthropicAI Claude - @nextjs, @vercel, and the Vercel AI SDK aka the OGs - GitHub API I wrote 0 lines myself almost. Took me ~ 1 day. Not pasting a link because you'll use all my Anthropic AI credit 🤣

surprising that crypto not disrupted the @Ticketmaster monopoly yet, the way these people manipulate secondary markets and capture exclusivity via contract seems borderline criminal? and they constantly get hacked and lose data

@tkstanczak Will any of them be streamed?

Come and see what bots are cooking

wat did Demis mean by this?

@Jskybowen this is only partially true. it's correct that time isn't real, but there is an objectively correct way to order transactions. that ordering is alphanumeric

MEV is not a reordering of transactions. Prior to consensus there is no objective view of transaction order.

synthetic agents deserve equal rights