This is a diary entry to myself, so I remember what AI was like today. It's just

By Allie K. Miller · June 9, 2026 · Curated by George's Blog

This is a diary entry to myself, so I remember what AI was like today.

It's just going to be a bullet-list stream of consciousness.

- There are still so many leaders that have never seen an agent run at work

- I asked a recent room (very tech curious but not engineers) how many people had built an agent and 80% raised their hands

- The biggest topic in Silicon Valley is a self-learning org

- The layoffs, particularly at Meta, are causing a lot of distrust among tech workers

- Social feed is filled with graduation speeches about AI. Speeches from Eric Schmidt/others that are pro-AI are getting loudly booed, and speeches from Ronny Chieng saying f*ck AI are getting light to heavy cheers

- Connecting tools into AI systems safely is still a big open question in the enterprise

- No one seems to care about Opus 4.8 launch but it’s only been 24 hours

-Avg engineer I speak with prefers Codex over Claude Code rn

- My feed is filled with more and more women showing how they use Claude

- Other than image generation use cases, I almost never see ChatGPT come up. A lot of people still mention it in person

- Perplexity is rarely mentioned these days, mostly by Gen X men

- Every CIO I meet with is worried about token maxxing and cost, they want to know where the signal is among the noise for AI usage

- Avg F500 enterprise is just now hearing about the hill climbing / flywheel / AI-legible company framework and don’t know what it is

- Superusers inside of enterprises that have changed the way they work are not incentivized to share anything out, so the best learnings of business transformation are not getting circulated

- Average CEO is still worried about messing up their AI strategy

- Majority of AI strategies happening in the enterprise sound like startup strategies at the end of 2024, makes sense bc enterprises are usually 2-3 years behind startups

- Lot of questions around governance and explainability, NLA work from Anthropic did not seem to make a big impact in my circles yet

- People are massively sleeping on the /goals functionality

- People are sleeping on kicking off AI tasks before you go to bed and having AI crank 24/7

- Seems to be low trust among coworkers of each other, particularly in the US, where it feels a little bit more like every man for himself

- People are just now starting to think through what the internet might need to look like for agents, I really like what Gary Tan and Dan Shipper have been building out

- X comments are more AI bots than ever

I have about 15 more but LinkedIn has a limit, so here's the full list: https://lnkd.in/eRFAJ4xw

View the original post on LinkedIn

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