LIVE NOW -- Why Are We Here? Exploring the Core of Crypto-Anarchism | Arjun Bhuptani @arjunbhuptani gives one of the best non-technical talks at the Bankless Summit. Everyone in crypto needs to hear it. Arjun explains the first principle concept of Crypto-Anarchism & outlined a compelling argument for its role in addressing today’s societal challenges.

Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models.

Two hours of script-wrangling, API-key hunting, and praying your AI agent didn't ship a bug. Or three minutes, one shot — with Aomi. DeFi has fragmented into 800 agent skills. We built one that covers all of it. Introducing Aomi Skills.

First post in 4 years I’ve been busy bootstrapping PromptBase to 450k users But I was burning $9,400/mo in opaque Stripe fees for seller payouts So today I’m launching Zoneless: an open-source clone of Stripe Connect using USDC Identical API, except payouts cost $0.002 I’ve been dogfooding it on PromptBase for 3 months: - 2,200 sellers onboarded - 1,400 payouts completed - $9.4k/mo in Stripe fees → ~$5/mo - 73% of sellers chose Zoneless over Stripe

Crypto has a vocabulary problem. Sectors are arbitrary, systems are misclassified, and no one knows what tokens actually do. Comparing tokens? Impossible. We built Fundamentals to fix that. Here's how it works 🧵

the original TurboQuant paper tested on A100 with models up to 8B. 6 days later, a bunch of strangers on the internet had it built and running on: - Apple Silicon M1 through M5 - NVIDIA 3080 Ti through DGX Spark Blackwell - AMD RX 6800 XT and 9070 - a 10-year-old Tesla P40 - an 8GB MacBook Air - models from 3.8B to 70B across 6 architecture families - 30 independent testers along the way we found new optimizations the paper didn't cover and failure modes it didn't test. the fact that a loose group of people across the world can read a paper, build implementations from scratch, stress-test across hardware none of us could individually afford, and push the research further in under a week is genuinely one of the best things about this era. the tools and the community make it possible. open source is something else.

@Revolut Charging INSANE fees on USDC transfers?!! NeoBank my ass 🖕🏼

While the world moves deeper into AI… I started building something in the opposite direction. A game played in real life. With real people. That spreads one interaction at a time. Instead of content going viral, the experience goes viral. Department of Serious Play. This is what it looks like 🎬👇🏻

Two major AI releases this week: • Qwen3.5 — new open-source small models • GPT-5.4 — newest frontier closed model Most benchmarks compare math and coding. But the real test for frontier AI should be biology and healthcare. That’s where mistakes actually matter. So our team at @UHN ran them on EURORAD — 207 expert-validated radiology differential diagnosis cases. Results: GPT-5.4: 92.2% Qwen3.5-27B: 85% Gemini 3.1 Pro: ~79% A 27B open model that runs on a laptop is only 7 points behind the most powerful AI model on earth — and already beating Gemini on this benchmark. That gap is much smaller than people expected. And it matters. For years hospitals faced an impossible tradeoff: Frontier models → patient data leaves the hospital Local models → not good enough That tradeoff may finally be ending. Qwen3.5-27B runs fully local. No API. No cloud. No patient data leaving the building. HIPAA / PHIPA compliance becomes architecture, not paperwork. Interesting detail: 27B and 122B score almost identically here. Scaling bigger didn’t help much. One caveat: with web-scale training, it’s hard to completely rule out that frontier models like GPT-5.4 may have seen parts of evaluation datasets. Still, the signal is clear: Small models are getting good enough for real clinical AI. And if we want to measure real AI progress, biology and healthcare should be the benchmark. Huge credit to the team @alifmunim @AlhusainAbdalla @JunMa_AI4Health @Omar_Ibr12 @oliviaamwei