20+ years in. For me, agentic coding has been nothing short of a godsend -- not because it writes code for me, but because it lets me explore and prototype things that would have taken days of reading docs and ramping up. The creative surface area of what I can touch in a week has expanded dramatically.
Where I worry is beginners. The hard-won intuition for "this is a reasonable approach" vs. "this will bite you in six months" takes years to develop. With experience, you steer the agent. Without it, the agent steers you -- and it steers confidently in every direction, good and bad alike.
I wouldn't be too shocked if they're real. They aren't going to be making humanoid robots that actually are useful and don't price 99% of people out of buying them and they have to come out with something new eventually.
And they can copy a lot of features from the better, cheaper chinese cars and just sell them for 3x as much in the american market because they have no competition here and the chinese are barred from selling their cars here.
Still, even if the are real it doesn't mean their company should be valued at 21x Ford's value, or even 1x Ford's.
Well context is important and this was in directly response to the (spurious strawman) claim that if you can't spend $500 on a phone then you are excluded from society.
Peter is already a multimillionaire — he had an exit a few years ago for around $100 million. By his own account, he's spending $10,000+ per month on LLM tokens and other development costs. As long as OpenClaw stays open source and it remains possible to use all providers, this is totally fine by me.
Honestly, Anthropic really dropped the ball here. They could have had such an easy integration and gained invaluable research data on how people actually want to use AI — testing workflows, real-world use cases, etc. Instead, OpenAI swoops in and gets all of that. Massive missed opportunity.
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