Anton Korinek shares a cover story by Josh Tyrangiel in The Atlantic examining how AI will affect the labor market, with the provocative framing that "this time may be different." Korinek expresses appreciation for the candid reporting and notes he is featured in the piece alongside prominent figures including David Autor, Reid Hoffman, and Gina Raimondo. The post highlights growing serious discourse around AI-driven labor displacement and signals that mainstream outlets are treating the topic with increasing urgency.

Techmeme shares an article from The Atlantic by Jasmine Sun exploring how AI's post-training process actively suppresses the creativity and whimsicality that were present in earlier language models like GPT-2. The piece argues that this refinement process — which includes reinforcement learning from human feedback (RLHF) and other alignment techniques — leads to homogenized, formulaic output, resulting in bad writing from many top AI models.

The insight highlights a tension in AI development: as models become more capable and "safe," they simultaneously lose the unpredictable, expressive qualities that made raw language models occasionally produce genuinely interesting prose. This matters for anyone relying on AI for creative work, as the post-training pipeline may be systematically trading literary quality for consistency and compliance.