Marina Krakovsky

Writers often focus on outcomes well outside their control, ranging from landing an agent to winning a literary prize or writing a bestseller. Amy L. Bernstein looks at how to avoid a cycle of disappointment and failure by focusing on perseverance of effort instead: https://lnkd.in/eiAepnpk

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A couple months ago I made an unusual request to my editors at WIRED: I asked if I could go work at a tech startup for a few days. I wanted to learn how to vibe code—not just determine if I could do it, but see first-hand how AI-assisted code is transforming the tech industry. My editors gave me the go-ahead. And then, for some reason, the $10 billion dollar tech startup Notion agreed to let me embed with them. After an onboarding call, I was given a desk and paired up with senior engineers at Notion. TL;DR: During my journey into #startuplife, I wrestled with Cursor and Claude Code, learned how to vibe code, presented during a company demo day, and actually shipped a new feature in the Notion app. But what was more interesting was observing how seasoned engineers are changing how they work, because, AI. More than one person at Notion referred to these AI-assisted coding tools as “interns”—capable of doing a lot of the work, but still requiring a fair amount of managerial oversight. Another person told me that the point of vibe coding isn't to hire one engineer who will replace a hundred others; it's that a single engineer can become 100x more productive (which struck me as a caricature of the future coder). There’s a lot of excitement around vibe coding right now, but also an undercurrent of anxiety: What does this really mean for our jobs? For this piece I also revisited the “learn to code” movement of the 2010’s, and why that may have been misguided—now that AI is coding for us. Read the whole feature story here at WIRED https://lnkd.in/gQ6vUZ7A

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Independent agencies looking to scale face two compelling choices: the hired gun or the loyal soldier. A growing wave of smaller shops—from Murder Hornet to X&O—are rethinking the traditional full-time employee model, instead building lean cores and activating freelance networks. They argue it means agility, flexibility and access to top talent. But critics say it’s not sustainable, likening it to a “Tinder date”: momentarily exciting, but lacking the foundation for real relationships. So which model wins: freelance-first or FTE-heavy? Or can they coexist? 👉 Read the full Ad Age deep dive in the comments below.

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AI apps, such as ChatGPT, have exposed how much credit we give to machines. Now we see an em-dash and squeal, "AI!" But AI apes humans (and not the other way around) who have tripped on em-dashes, with endearing self-awareness and levity, for long. Here's a piece, for example, written entirely using em-dashes *14 years* ago: https://lnkd.in/dZc94cQY

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"Speed is the disease of the digital age. In today’s newsrooms, pressure to publish stories at an increasingly fast rate often means that reporters are able to uncover only basic information and complete a surface-level analysis. Twenty years ago media experts were already warning that working at high speeds encourages journalists “to fall back on well-worn themes and observations—interpretive clichés.” In today’s world of digital media, this effect has been compounded." https://lnkd.in/g7gGAzKS

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