Model Releases
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 …
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
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 - Speed of release feels like it has slowed down slightly from a month or two ago, many of the things that are coming out feel like incremental orchestration releases that are all trying to support this Ralph Wiggum/constant loop that people are trying for - Most people react negatively to the word harness - Most performance questions I get are still on the models - I still get nonstop questions about how people can best prepare their kids 1/2
Source: Allie K. Miller (X) | 2026-05-29