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Simon Willison1 min readintro
Simon Willison reposts a TikTok quote by @therealcornpop that criticizes AI‑written scripts for lacking a definitive voice. The post offers no technical insight or analysis.
A light‑hearted roundup of recent AI‑related UI glitches and funny screenshots, with no technical analysis or engineering takeaways.
Zach Holman complains that AI‑generated cold outreach now spouts shallow facts from a target’s bio, sounding fake. He argues that genuine, specific anecdotes beat generic LLM‑crafted messages.
Mustafa Suleyman warns against treating AI models as if they have feelings or rights, arguing that such thinking hinders alignment work. The quote cautions against model‑welfare narratives.
OmniVChat defines native audio‑visual dialogue where a model consumes raw audio and video streams and replies in text. The authors build OmniVChat‑Studio, a multi‑agent simulator that generates single‑ and multi‑turn audio‑visual conversations, and use it to create OmniVChat‑Bench, a benchmark covering five dialogue abilities. They also propose OmniVChat‑RL, a reinforcement‑learning reward that b…
The essay laments the unreadability of AI‑generated design docs, PR summaries, and other engineering writing, citing a survey where 78% of readers quit when they suspect AI involvement. The author finds AI useful only when they control the prompt and context—e.g., for grammar checks, citation generation, and diagram creation while writing a paper—but not for producing the core narrative. He highl…
Simon Willison argues that LLMs should be used as copyeditors, not as writers, and proposes a strict rule never to reuse any phrase they suggest. He shares a prompt for building a personal LLM proofreading tool.
