@ArynnPost

Solutions Engineering & Industrial-Organizational Psych 馃 WI鉃★笍CA鉃★笍NC鉃★笍CT

 Connecticut, USA
Joined April 2022
  • Tweets5.3K
  • Following705
  • Followers1.1K
669Media
The switch from logos that look a certain way to mascots in AI has been noted.
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It's that time of year again! The data people holiday, aka dbt summit. I know a some about the new products that will be announced, but still pumped to hear more. 馃檪
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I genuinely want to understand what the factors are that influence some people to become addicted to vibe coding, while others don't. It doesn't happen to every engineer. It doesn't happen to only gamblers or smokers or whatever other addictive vice. It is novel. Why? 1/2
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My theory is that understanding this will (albeit indirectly) help to figure out the future of work and best practices. Many other data needed, of course. 2/2
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Of the relatively small percentage of companies that have gone all in on frontier AI models AND adopted them *across the org*, what percentage of those have switched to using open weight models? I long for more meaningful metrics than what the bubble makes it seem like.
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The amount of notes to myself that are completely incoherent to anyone but me, which I write whenever I have a really good thought or idea, is too damn high.
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Enjoy the Silence by Depeche Mode is meditative.
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Some people's jobs inherently benefit from heavier AI usage, while others not at all, and everything in between. Right now it feels like we are still stuck in the 0s and 1s of you're either all in on AI, or you're not. And that's not how it should be forced to work.
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Every company needs to adopt something like Clay's AI writing policy.
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I used to say most data and tech problems are people problems. Well, as it turns out, I think most AI problems are actually people problems too.
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I keep forgetting to log on here. Am I really missing something and my algorithm just sucks now?
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It is difficult to imagine what work that is easy to augment with AI will look like for people in 5 years. "Learn to use AI" isn't outright bad advice, but it isn't enough.
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People calling someone's job experience a pedigree will always give me the ick.
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AI subverts the influence of nature versus nurture on human development.
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Having an answer generated for you is not the same thing as understanding. Lots of steps are skipped, actual reading being only one of them. It is the result of value historically being placed on output. So having more output more quickly is "better", but due to what's valued.
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It is a little entertaining to watch popular tech companies try to figure out and repeatedly change pricing models in real time. Pricing is hard. Consumption-based is alluring until it isn't.
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It is a bit nice to come back here and feel like an unknown again.
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Is this finally the year where tech will see the value in my Industrial-Organizational Psychology degree and recognize that expertise? I hope so. I doubt it, but I hope so.
Ethan Mollick
@emollickJun 24
Decisions about how to use AI in your organization are increasingly organizational design and strategy decisions, not IT choices: How do you integrate agents into your firm? What intelligence will you outsource? What are the boundaries of the firm? What is the role of people?
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Reluctantly posting here for the first time in a long time. Is this thing on?
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I've found myself feeling odd about many of the product announcements at tech companies these days (no one company in particular). There's two contributing reasons: one, the overimportance of the attention economy, and two, that it feels like everyone is doing the same thing.
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The attention economy side of it bleeds into influencers or others trying to gain social traction. It's a competition to see who can talk about the most interesting tech news in the most memorable way first.
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