How to build a Codex heartbeat for task triage

#1 𝕏

Peter Yang turned Codex into a “heartbeat” by having it check his email, Slack, and Linear at 9 am, 1 pm, and 5 pm to prioritize tasks—and then gradually added preferences like including links, integrating with Linear, and pre-drafting his Slack replies and emails.

#2 📝 Simon Willison

An Inside Look at the Relay Market Powering Token Resellers and Fraud - Matt Lenhard investigates a marketplace—largely in China—where resellers pool and proxy API keys to sell discounted LLM tokens, often obtained via abused free trials, unprotected bots, or stolen payment methods. The piece highlights the open-source proxy software being used and argues that LLM vendors need stricter caps on API keys to prevent runaway costs from abuse.

#3 𝕏

Thariq would build a mobile game economy and have Opus run daily A/B tests, brainstorm new variants each morning, and implement the winners—real work that boosts the game’s chances of success.

#4 𝕏

Yann LeCun – Professor at NYU & Executive Chairman at AMI Labs argues AGI won’t emerge in a single leap and Anthropic is unlikely to be first.

#5 𝕏

Lenny Rachitsky interviews Dianne Penn, AnthropicAI’s first technical PM (joining in 2023 with just five engineers) and now Head of Product for Research and Labs, on shipping Claude 2 through Mythos.

#6 𝕏

Sebastian Raschka says open-source/open-weight AI models are crucial for ecosystem health, transparency, and data privacy. He highlights this week’s hot releases—Kimi K3, Ling 3.0, and other fresh models like Nanbeige 4.2 3B.

#7 𝕏

Santiago calls out Anthropic for lobbying to let the government block “dangerous” open-weight AI models—a self-serving move to protect their business that’s propped up by bad-faith arguments from its smartest defenders.

#8 𝕏

Madhu Guru argues we’re in AI’s Phase 1, where distribution-led companies rapidly add adjacent features—like virtual clothes try-on—that once required bespoke software. Phase 2 will unleash truly net-new AI innovations that reshape the software ecosystem.

#9 𝕏

Guillermo Rauch proposes introducing open model options and expanding model variety to better serve cost-sensitive tasks and users.

#10 𝕏

Guillermo Rauch traces software’s evolution from hand-coded teamwork to prompt-driven agents, and now predicts the next leap: fully autonomous agents that read feedback and self-improve. This “software factory” configures agents to generate and refine code on their own.

#11 𝕏

Shreyas Doshi warns that IAKT (I Already Know That), a corporate-induced affliction, blinds PMs to fresh insights and stifles innovation.

#12 𝕏

Thariq argues mobile games are demand-constrained and hinge on rigorously iterated in-game economies and monetization. He believes coding agents could speed up finding the optimal economy.