Nomad Analyst

The SEC just released the most important piece of U.S. crypto regulatory guidance ever produced. 68 pages. 148 footnotes. A 5-category token taxonomy. Safe harbors for staking, mining, wrapping, and airdrops. And a separation doctrine that changes how every token deal gets structured. Initial takeaways in this thread. Full analysis in my article below.

🚨BREAKING: Someone just open-sourced a headless browser that runs 11x faster than Chrome and uses 9x less memory. It's called Lightpanda and it's built from scratch specifically for AI agents, scraping, and automation. Not a Chromium fork. Not a hack. A completely new browser written in Zig. Here's why this changes everything for AI builders: ↓

Citadel Securities published this graph showing a strange phenomenon. Job postings for software engineers are actually seeing a massive spike. Classic example of the Jevons paradox. When AI makes coding cheaper, companies actually may need a lot more software engineers, not fewer. When software is cheaper to build, companies naturally want to build a lot more of it. Businesses are now putting software into industries and tools where it was simply too expensive before. --- Chart from citadelsecurities .com/news-and-insights/2026-global-intelligence-crisis/

Introducing chartli 📊 CLI that turns plain numbers into terminal charts. ascii, spark, bars, columns, heatmap, unicode, braille, svg. $ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒 I wanted terminal charts with zero setup. No browser, no Python env, no matplotlib. Pipe numbers in, get a chart out. Again built using Command Code with my CLI taste. $ npx chartli data.txt -t ascii -w 24 -h 8 8 chart types spanning a fun range of Unicode density: - ascii (line charts with ○◇◆● markers) - spark (▁▂▃▄▅▆▇█ sparklines, one row per series) - bars (horizontal, ░▒▓█ shading per series) - columns (vertical grouped bars) - heatmap (2D grid, ░▒▓█ intensity mapping) - unicode (grouped bars with ▁▂▃▄▅▆▇█ sub-cell resolution) - braille (⠁⠂⠃ 2×4 dot matrix, highest density) - svg (vector output, circles or polylines) Input format is dead simple: rows of space-separated numbers. Multiple columns = multiple series. 0.0 0.1 0.1 0.1 0.2 0.4 0.2 0.4 0.3 0.2 0.4 0.2 Composes with pipes: $ cat metrics.txt | chartli -t spark S1 ▁▂▃▄▅▆ S2 ▁▄▂▇▅█ S3 ▁▂▄▃▆▅ S4 ▁▄▂▇▂▇ The braille renderer is my fav. Each braille character encodes a 2×4 dot grid, so a 16-wide chart gives you 32 pixels of horizontal resolution. Free anti-aliasing from Unicode. The bars renderer uses 4 shading levels (░▒▓█) to visually separate series without color. Works on any terminal, any font. Heatmap maps values to a 5-step intensity scale across a row×column grid, so you can spot patterns in tabular data at a glance. SVG mode has 2 render paths: circles (scatter plot) and lines (polylines). Output is valid XML you can pipe straight to a file or into another tool. Zero config by default, every dimension overridable (-w width, -h height, -m SVG mode). No config files. No themes. No dashboards. $ 𝚗𝚙𝚡 𝚌𝚑𝚊𝚛𝚝𝚕𝚒 Or global install it. $ npm i -g chartli # Skill for your agents $ npx skills add ahmadawais/chartli If you work in terminals and want quick data visualization without leaving your workflow, try it. ⌘ let's go!!

Tonight, we reached an agreement with the Department of War to deploy our models in their classified network. In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome. AI safety and wide distribution of benefits are the core of our mission. Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement. We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements. We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.