101–110 of 224 posts
He used 600B tokens in 30 days. I use more than 150B/month with just 15 codex accounts. 60 accounts is "just" $12,000/month. So Peter could "save" 100x by using monthly accounts. Of course, he doesn't have to, as he works at OpenAI now.
Sounds like a healthy industry, selling tokens at 1000x below cost.
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But.... why ? Like I read his thing on how he spends the tokens [0] and it sounds like satire. He has agents write shitty code for features other agents think other people want, then has it reviewed by other agents in hopes of catching bugs that the first agent put there, then has some more agents try to find security bugs in the now double-agented code to make it triple-agented and at the end of the day, he spent a…
>He then has the sense of humor to call this grotesque process "incredibly lean". > What's the point in all of this? What problems is this solving? Who's benefiting? The economy doesn't work like how you think it does. Its not central planning. All the usages aren't detailed in a specification, submitted for approval to 100 agencies and then allowed to be used. It shows lack of intellectual curiosity to not engage de…
I didn't know that studying photocopiers is suddenly linked to "intellectual curiosity". Being a photocopier maintenance guy was always considered boring.
What you put on top of the machine was intellectually interesting.
He used 600B tokens in 30 days. I use more than 150B/month with just 15 codex accounts. 60 accounts is "just" $12,000/month. So Peter could "save" 100x by using monthly accounts. Of course, he doesn't have to, as he works at OpenAI now.
What I truly don't understand, as a daily heavy Opus 4.7 user, is how you can coherently prompt 15 different parallel conversations at the same time. For me it's not even a "what the hell are you working on" so much as complete inability to understand how you can keep so many different processes working on distinct tasks. It simply doesn't map on to how I use these tools. I spend most of my day writing extremely deta…
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Peter shows the near-term future. Raw API consumer price cost is arbitrary. (The frontier labs can put a 100x markup to cover other operational expenses.) The true cost of inference with same-capability models keeps dropping at dizzying rates, especially at the data-center batch size. (Due to both NVidia hardware and algorithmic changes.) So the developments that Peter can achieve today with internal support from Ope…
But.... why ? Like I read his thing on how he spends the tokens [0] and it sounds like satire. He has agents write shitty code for features other agents think other people want, then has it reviewed by other agents in hopes of catching bugs that the first agent put there, then has some more agents try to find security bugs in the now double-agented code to make it triple-agented and at the end of the day, he spent a…
“He has /people/ write shitty code for features other /people/ think other people want, then has it reviewed by other /people/ in hopes of catching bugs that the first /people/ put there, then has some more /people/ try to find security bugs in the now /double-peopled/ code to make it /triple-peopled/ and at the end of the day, he spent a shitton of /money, the people/ probably emitted enough carbon to heat our planet by another degree, and has a feature nobody really asked for that might or might not work.”
Honestly sounds like a normal tech company to me. Just with much dumber “people” who are getting exponentially smarter, eventually never die, eventually never forget.
You have to skate to where the puck is going, not where it is.
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What I truly don't understand, as a daily heavy Opus 4.7 user, is how you can coherently prompt 15 different parallel conversations at the same time. For me it's not even a "what the hell are you working on" so much as complete inability to understand how you can keep so many different processes working on distinct tasks. It simply doesn't map on to how I use these tools. I spend most of my day writing extremely deta…
I'm trying to recreate all the commercial EDA stack in open source. (RTL simulators, synthesis, formal proof tools, etc.) Building compilers has a _lot_ of parallel tasks agents can work on. Wish me luck..
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> OpenClaw is the fastest growth open source project ever. By which metrics? > This isn’t clowning. Why?
https://www.getpanto.ai/blog/openclaw-ai-platform-statistics Because a solo dev has deployed to millions of people in less than eight months spending I believe zero dollars on marketing. We should all be so lucky to clown at this scale.
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> And was he 5x more productive in those 30d than a years worth of a dev making 200k/yr? He was. When it comes to marketing. This is was most people don't understand. Peter is a great marketing guy who got hired because of a hype vision, not because he is an outstanding engineer. Think of it like OpenAI hiring MrBeast of the coding world.
_yawn_ I keep hearing "hype vision". What part of openclaw is hype? It literally works and the adoption has gotten better. We really need better standards for disagreement.