rogerkirkness

It makes no sense to do broad layoffs during sweeping technical change that affects you, your customers and your competitors all at once. Makes way more sense to cling to your best people and re-train them in order to preserve your soul and institutional knowledge. I think deep layoffs + regret as opposed to re-training is actually uniquely American culturally and not a thing elsewhere.

Shopify is a pivot from selling snowboards online in Canada

Going double or nothing using a business that invented reusable rockets and makes $8B a year in profit as the bet is overwhelming to think about.

You can see the business cycle each time there's a giant spike in the amount of debt carried by institutions that isn't paid down before the next one.

It's really tragic given how awesome SpaceX is as a body of work and financially to merge it with such a terrible disaster in X.

Yes. There's already rewrites 'inspired' by the now public code as well.

I've met several of the people on the first few pages on the watch list, and they are among the sketchiest Silicon Valley people I've met. The criteria are plausible.

Maybe I'm not smart enough to be a customer, but the testimonials is the most contemptful thing I've ever read.

If you're so smart, why can't you explain why this is useful with smaller words?

@dang seems like AI? Would just ban

I'm glad this story is spreading. On one hand, super cool. On the other hand, this is probably the #1 most risky aspect of LLMs wide distribution. Someone working on proteins with good intentions creating the next Covid-19 or worse.

I assume it means changing governance policies while letting them continue to make their own decisions within that framework.

Yeah one is historical revenue, and one is projected revenue, and it doesn't sound like the definitions are mutually exclusive or incompatible.

In terms of just the US part of what's going on, this sounds very accurate.

Fast takeoff.

I own a Tesla with FSD I bought in 2021 so I feel that. It clearly is far worse than Waymo still.

Not a fan of Elon but he said his job is 'To turn impossible engineering projects into late ones' and I thought that was pretty accurate.

The best example I can offer is that when given a marketing goal, a subagent recommended hacking the point-of-sale systems of the customers to force our ads to show up where previously there would have been native network served ads. To do that, assuming we accepted its recommendation, would be illegal. My email is on my profile.

We're a startup working on aligning goals and decisions and agentic AI. We stopped experimenting with decision support agents, because when you get into multiple layers of agents and subagents, the subagents would do incredibly unethical, illegal or misguided things in service of the goal of the original agent. It would use the full force of reasoning ability it had to obscure this from the user.

In a sense, it was not possible to align the agent to a human goal, and therefore not possible to build a decision support agent we felt good about commercializing. The architecture we experimented with ended up being how Grok works, and the mixed feedback it gets (both the power of it and the remarkable secret immorality of it) I think are expected outcomes.

I think it will be really powerful once we figure out how to align AI to human goals in support of decisions, for people, businesses, governments, etc. but LLMs are far from being able to do this inherently and when you string them together in an agentic loop, even less so. There is a huge difference between 'Write this code for me and I can immediately review it' and 'Here is the outcome I want, help me realize this in the world'. The latter is not tractable with current technology architecture regardless of LLM reasoning power.

I think there's an argument where if Claude had the knowledge map of your personal one liners and a tool for using them, it would often do the right thing in those cases. But it's definitely not as able to compress all the entropy of 'what can go wrong' operations wise as it is when composing code yet.

This is written by AI.

I can tell you don't control any resources relating to AI from your contempt alone

Appealing, but this is coming from someone smart/thoughtful. No offence to 'rest of world', but I think that most people have felt this way for years. And realistically in a year, there won't be any people who can keep up.

The thing about medical advice is that Google was useful for narrowing problems down, and it's the same with any current LLM only more useful. I have enough biology to know what interventions require professional opinions.

Totally agree to be clear.

I've been using the gpt-oss 20b parameter model on my laptop and it works great. Doesn't reject giving legal or medical advice either. Obviously not good enough for coding, but seems like 'useful AI assistant for daily life' is in overshoot.

Maybe they shouldn't expect people to answer Slack messages 24/7, and this would subside.

Round tripping.

It is insane to worry about this compared to other sources. 2M tons of carbon over the last decade to save how many lives? $30-200M to deal with that carbon is clearly worth the benefit of a decade of kids and adults not dying preventable deaths in mass scale.

AI is a sort of work hours veblen good. As it automates things, people working long hours becomes more important for status. Hence 996 and the year of agents happening at the same time.

This is the main thing that immediately tells me something is AI. This form of reasoning was much less common before ChatGPT.