Imagine if there is a social media protocol,
instead of a social media platform.
Imagine if you could send,
Notes and
Other
Stuff
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I am convinced that all the articles, tutorials, posts about vibe coding / agent factory and all that are just marketing to sell more AI premium subscriptions and maxing out their tokens.
You can't do anything significant with a local model running on a 2023 Macbook.
It feels like everything on the internet these days are just people selling ...
How many Youtube tutorial are there of people genuinely want to share knowledge, and not selling a particular tools, online courses, or doing it for personal brand ...
@Slimdaddyvisual@AnatoliKopadze Ah yes, I thought they were using Claude Code internally, they are just showing that you can use Claude Code with Google Cloud.
Microsoft just force dog-fooding by having everyone use Github Copilot.
But I do agree that once the honeymoon subsidise token period is over, it is cheaper for companies to hire human to write codes then using AI agents.
๐ฆMicrosoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products.
My Take
The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested.
This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown.
Hedgie๐ค
Think about it. Rather than paying per token use, you pay a flat monthly fee to a human, the human has to get the job done by any means or risk getting replace by a different human.
This is the future of software engineering after the AI VC money bubble burst.
@avidseries@dhh Any sane person with critical thinking would find these allegation to be dubious, no need for Grok or any other LLMs. Sadly most people prefer to outsource their thinking.
Branding with an "M" ... yeah sure. Clearly written by someone who has only known a single writing script.
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