Momentum evolves—and SAMM evolves with it. In the October rebalance, the Strategas Macro Momentum ETF added weight to Energy and Software while reducing exposure to Semiconductors. See how our quantitative screening and monthly rebalance process are responding to the market’s latest signals:

Games evolve through updates Interfaces change Features are added Bugs are fixed But users should still have ways to identify which version of an application they are accessing Content hashes can provide verifiable references for published files HashPort explores how Web publishing can make content integrity easier to check A changing application does not have to mean an unverifiable application

Workflows evolve. Your AI skills should, too. ⚡ Glean’s skill reflection learns from repeatable feedback and patterns in how skills are used, then suggests improvements for users to review and approve. Skills that get better over time, with people in control. Read the breakdown:

Viruses evolve at an "insanely high” pace, said microbiologist Philip Kranzusch. And yet, weirdly, our immune defenses share many ancient antiviral tools with bacteria. “Why would the rules be so fixed?”

civilization evolved around a pretty stable ceiling on human cognition. suddenly we’re building cognition whose ceiling can move every few months. almost none of our institutions were designed with that possibility in mind. if that continues, ai won’t just change what civilization can do. it’ll change faster than civilization can figure out what to do with it.

🚀 EvolveScaler is here. Read a 40-day RPG log. Now answer one question: if you skip the mini-boss on Day 7, do you still beat the final boss? The answer isn't in the log. You have to replay the world. That's Information Evolution — records get retracted, corrected, backfilled. The world keeps changing after you read it. So we build it backwards: define the world as an executable state machine, then render it into natural language. Code guarantees the logic. Language delivers the mess. ➡️ 117 prototypes. 159 question operators. 5 difficulty tiers. Up to ~1,200 events per sample. ➡️ 14 frontier models, hardest tier: median avg@5 falls to 11.3. ➡️ Train on it instead: +5.25 average across 8 out-of-distribution benchmarks. Check out our paper and project page. 📚 Paper: 🏠 Project Page:

Auto-evolved addresses. Same wallet mnemonic with automatic signature lift, afaik our yesterday’s discovery in the Sui cryptographers’ meditation 🧘 gathering, revealed a new algorithm. More soon