Good Sunday, NOLA. July 12th is a quiet day after an absolutely wild week — Latent Space called it exactly. But we've got some genuinely interesting reads on the state of AI tooling, a clever font that dodges AI vision models, and some solid infrastructure moves. Let's dig in.
A designer created a typeface optimized to be readable by humans but invisible to AI vision models. It's a clever adversarial approach to the watermarking problem — if your text needs to stay hidden from AI scraping or training, this might actually work. Worth trying if you're protecting content.
A sharp piece on the reflexive "just ask ChatGPT" advice that's become ubiquitous. The author argues that dumping every problem into an LLM is lazy thinking, not progress. If you've been feeling weird about the automation creep, this validates it.
A fascinating deep-dive on using AI to reverse-engineer a 1984 Commodore arcade game. The author shows where AI shines (generating plausible code, spotting patterns) and where it completely fails (the actual physics of the game). Great example of AI as a thinking partner, not a replacement.
A contrarian take on where AI is actually headed and what we're getting wrong about the hype. Definitely opinionated, but worth reading if you want to push back on some of the consensus narratives.
A new approach to running LLMs across a distributed network without a central server. If you're thinking about edge inference or peer-to-peer AI, this is the kind of architecture that could matter. Early-stage but promising.
Open-source tool that validates AI-generated SQL queries before they hit your database. This is the kind of practical safety layer that matters when you're using Claude or GPT to write database code. Worth pinning if you're building agents.
sqlite-utils got a dot release with some nice quality-of-life improvements for the insert and upsert commands. If you're building scripts that touch SQLite, this keeps getting better.
OpenAI is hiring a dedicated product manager to build family-focused features for ChatGPT — caregiving tools, age-gated content, family accounts. A signal that they're thinking beyond individual power users to mainstream adoption.
Microsoft just disclosed that building out AI infrastructure for Azure and Copilot drove a significant spike in their carbon footprint. Not doom — just reality. If sustainability matters for your stack decisions, this is worth tracking.