Altman's growth confirmation (9749 likes — today's most engaged tweet): '5.6 sol growth is insane. The inference team has done heroic work to support demand. We are going to move mountains to continue.' He also backed open-source harnesses (4800 likes) and posted a simple 'hello!' that got 5366 likes.

Sottiaux at the 9M threshold: 'Embarrassment of riches. But looks like we might hit 9M soon. Should we reset the ChatGPT Work and Codex usage again or give it some space?' (3608 likes). Then pivoted to a creative promotion: 'Or... what if we gave you $100 in Codex credits if you tell us what you love about GPT-5.6 Sol or why you switched?' (5757 likes). His third tweet: just scrolling Twitter looking for feedback (5530 likes).

Peter Yang announced a new video tutorial dropping tomorrow on how he uses ChatGPT Work (aka Codex) for 'almost everything on my computer' (36 likes). Aditya Agarwal noted the feature richness vs. friction tradeoff: 'I used ChatGPT (Legacy) 15-20 times a day for quick things... now it's more powerful but slower for simple tasks' (18 likes).

Anthropic launched Claude for Teachers — purpose-built for K-12 education with privacy-first design. Ask for a lesson plan and Claude starts from your state standards and high-quality curricula via Learning Commons integration (647 likes). Key privacy guarantee: never trains on conversations, student data protected by data residency (514 likes). The move signals Anthropic is expanding beyond developer tools into education.

Thariq's hobby use case: using Claude Code to build a Pokémon Champions competitive team analysis tool with Smogon's npm library. 'It writes code, runs damage calcs, suggests team comps' (302 likes). He'll open-source it. Also shared his Mega Sceptile team breakdown artifact (66 likes).

Levie on why code is agent-friendly (149 likes): 'One of the many properties that code has that makes it highly amenable to agents is that you can more or less quickly test it.' Code is one of the few domains where you can automatically verify correctness — which is why coding agents work better than agents for most other domains. He also backed a standards body for AI (112 likes) — distinct from regulation.

Ryo Lu's reflective thread (809 likes, 49 retweets): 'when the dream becomes the job — i used to think the dream was to make my hobby my work. to spend my life close to the things i loved: computers, code, the craft...' A meditation on the transformation that happens when passion scales into responsibility. He's also assembling 'the best design team' at Cursor, looking for design engineers too (896 likes).

Rauchg opened up the AI token flows dataset from Vercel AI Gateway (83 likes) — 'fascinating insights contained within!' He also promoted agentmail: tell your agent to vercel install agentmail — no signup, automatic setup, unified billing (159 likes).

Steipete shared two practical tips: 'That's why you always wanna run autoreview' (141 likes) — showing a code review catch. And: 'Suno AI is delivering bangers!' (167 likes). Plus a note that stress-testing burns tokens but calms nerves (13 likes).

Matt Turck's France semi-final analysis got today's second-highest engagement (3175 likes, 173 retweets): 'How France played 10/10 football throughout the World Cup and 4/10 football in the semi final will need to be studied in football school.' He also noted the World Cup's cruelty: '47 out of 48 teams go home heartbroken' (64 likes). Aditya Agarwal piled on with a Yamal joke (27 likes).

Garry Tan on SF: 'Your tax dollars at work. The doom loop in SF isn't just about ruining the city for normal citizens. It's also about looting the public good' (486 likes). Plus a cultural commentary: 'Never go full omnicause' (107 likes).

Nikunj on engineering leadership in the AI era (23 likes): 'The pre-AI engineering leader mind can't comprehend that their most cracked engineer is also extremely online. While the agents are working, the engineer is sifting through timelines for alpha.' Dan Shipper announced an Every subscriber meetup at their Brooklyn brownstone (16 likes).

This is the same NVIDIA Nemotron podcast that appeared in the 2026-07-05 issue (published 2026-07-02). Full English and Chinese transcript coverage available in that issue. Key topics: 4-bit pretraining economics, hybrid Mamba-Transformer architecture, MoE with NVL72, multi-token prediction, multi-teacher distillation, why NVIDIA gives models away for free, open AI safety.