Average crypto onboarding experience

LLM4Decompile: Binary to source code using large language models

We’re thrilled to share our 2025 Roadmap, all towards decentralized intelligence 🔥 Highlights: ✅ Campaigns for Wisdom Graph applications: AI that doesn’t just know, it understands ✅ Client UX overhaul: Seamless onboarding for Web2 enterprises ✅ AI Agent x Human

This is interesting as a first large diffusion-based LLM. Most of the LLMs you've been seeing are ~clones as far as the core modeling approach goes. They're all trained "autoregressively", i.e. predicting tokens from left to right. Diffusion is different - it doesn't go left to

github.com/perlish/bitque… Here are some snippets for those interested in Kafka Streams from Bitquery.io ( Bloxy )

An Introduction to using Artificial Intelligence (AI) for Vulnerability Research x.com/i/broadcasts/1…

POV: you almost used the ed25519 pre-compile program. - 5000 lamports per signature - sysvar and ix juggling - hardcoded messages only - can’t handle dynamic data meanwhile, me using brine-ed25519 ⚡ 30k CU 📦 verifies any message 🚫 no sysvar 🚫no lamports Let’s make the

Every AI system reflects the data it was trained on. When that data lacks transparency, the AI lacks accountability 🧐 That's why we're building systems where every data point has verifiable provenance 🚀

People seemed to be enjoying the fire example, so I'm also adding it to the thread here. Thanks for all the support :)))

we built DeepWiki, a free encyclopedia of all GitHub repos some numbers: - 30k repos already indexed - processed 4 billion+ lines of code - the indexing alone cost $300k+ in compute spend

Fresh campaigns just launched today on our Train2Earn platform 🚀 Contribute in building more transparent, accurate AI systems 🔥

AI coding agents hit a wall when codebases get massive. Even with 2M token context windows, a 10M line codebase needs 100M tokens. The real bottleneck isn't just ingesting code - it's getting models to actually pay attention to all that context effectively.

Interesting read on decentralized AI training 🧠

New batch of Train2Earn campaigns going live today! Train AI. Earn Crypto. Own the Future 🔥

from boomer to banger

Neural Network Basics for Embedded Systems Neural nets in C are hot for IoT in 2025, but tough due to memory constraints. You’re coding a perceptron for edge AI, think sensor data classification. No libs, just raw C. Below, a simple neuron computation. Beware: buffer

Xbow raised $117M to build AI hacker agents, in Alias Robotics open-sourced it and made it completely free. Github: github.com/aliasrobotics/… Paper: arxiv.org/abs/2504.06017

If you had a proc-macro2 error with Anchor in the past, that was because Anchor currently uses unstable nightly builds for IDLs today 0.32 will stabilize that, remove the nightly build, and require Rust 1.89 No 👏 More 👏 Unstable 👏 Builds 👏

many a false step was made by standing still.