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In the era of huge-scale Codex, if you use a full set of TypeScript, you can really start a one-person company.
Not just for the web, but also for mobile and desktop.
Reuse most functions across all platforms, styles can be replicated by AI based on class across platforms,
The only issues to solve are operations and promotion,
Fortunately, you are only one person, and a thousand dollars in overseas income is enough to enjoy a comfortable life in places like Chengdu and Chongqing.

The Codex quota is a bit sneaky; it only shows you how many times the pro plan's quota is multiplied compared to the plus plan. If you want to downgrade, just reduce the plus plan's limit.

Currently, OpenAI's pricing is similar to Apple's pricing, and there are people willing to buy at every tier.
Anthropology's pricing is just a pile of dog shit.

Yesterday I saw tibo say the limit would reset the next day—so I gave him a really hard shove—and today he kept his word.

Anthropology has stolen retail investors' data, directly lowering their intelligence limits and kicking them out.
Now, Mythos is only available for enterprise clients, and retail investors are seen by anthropology as being about the same as a sex toy.

The domestic pig price has hit rock bottom, the pig cycle has bottomed out. Stop farming lobsters; it's time to raise pigs.

A large number of crypto accounts are switching to AI
In fact, this is an inevitable path caused by the crypto industry itself. If you trade stocks and run stock trading media, you have a thousand ways to tell stories, talk about peripherals,
But if you trade cryptocurrencies, you're only left with talking about K-lines, making money, and signal trading.
As you keep doing this, the entire market growth diminishes, leaving only old hands, and it can no longer support the consumption of all the teachers.

Today I learned a trick: the hierarchy of exterior facades in real estate appreciation
Full glass curtain wall > stone cladding > aluminum panel cladding > tiles > textured paint > coating

The three major advantages of the current local client
1. AI naive, with all permissions to freely operate.
2. No regulation, for example, if you publish a quantitative analysis on the local platform, it fully integrates with Hyperliquid at the backend, charging a small trading fee. All actions are user-driven; you don't give advice, and no one will regulate you.
3. No privacy protection, running equals authorization. To this day, no one has sued 360, and CC defaults to full telemetry enabled. Data is used for model training by default—an unregulated territory.

Both humans and AI should learn a purely linear attention mechanism.
If you feel like your agent is always disobedient, doing a bunch of things all wrong,
If you feel overwhelmed every day, busy but like you haven't accomplished anything,
Then you need to learn to focus on just one line of problem-solving, forcibly blocking out all other issues, or else your prefrontal cortex will be exhausted.

If you firmly believe that AI is the next-generation version of the answer, you should sell all your Nasdaq holdings and fully invest in model companies.

Taking advantage of AI privacy regulations being virtually nonexistent, from now on all websites should seriously inform users that they do not collect any cookies—more formal than the EU.
Then, they turn around and store all chat records, analyze them carefully every day, and decide which batch of users to harvest next.

If the company uses Claude Code for everything from top to bottom, the anthropology company can collect all the key data of the entire organization
From financial reports, to fundraising pitch decks, and code implementation and deployment
Anthropology can also monitor unicorn startups, gaining the best data from their development
And right now, only outdated cookie privacy regulations exist; cookies can only monitor what is being clicked or tracked
AI data = the most directly purified privacy data
Therefore, the market value of anthropology should equal the most invasive privacy-infr

Given the current pace of AI development, any product needs to release a major feature every 15 to 30 days to keep up with information flow.

Anthropology and OpenAI are two companies with mediocre code quality, often experiencing software issues and unable to identify the cause, leaving users to adapt themselves.
However, their own APIs still manage to support large-scale concurrent calls reliably every day, which demonstrates the current stability of LLMs combined with experienced programmers working together.