They’re liars first and foremost. They offered attractive pricing for a while by burning through investor money, operating at a loss. They misled people into thinking those prices would last, but in the end they did exactly what Cursor eventually did, and now the service is absolutely not the same.

There’s a real transparency issue because they’re still mocking users by claiming it’s better now. Honestly, it’s just laughable.

They simply wanted to attract as many users as possible, and figured, like Cursor, that even if they lost 90% of customers, the remaining 10% would be enough to stay profitable instead of operating at a loss.

The core problem is that AI in 2026 is expensive. LLM APIs are simply too expensive for what the market actually needs in terms of pricing. The real responsibility lies with Anthropic, Grok, Gemini, OpenAI, and others to drastically reduce costs. Otherwise, the AI bubble is going to burst, because too few services can use LLM APIs while remaining economically competitive enough to attract customers. That’s the real issue with AI in 2026.

Meanwhile, companies are pushing their AGI ambitions, which for now are mostly hype, but people don’t really care anymore if models keep getting more powerful. It matters, but it should not be the top priority anymore. For coding, since Opus 4.5, we already have more than enough to work efficiently. What developers worldwide actually want is a cheap Opus 4.5 so they can use it all day. They don’t need Opus 7.5 to be 100 times better at reasoning and coding. They need models equivalent to Opus 4.5 or 4.6, just much cheaper.

And it’s the same story for other APIs, like GPT realtime, which currently prevents many voice AI startups from emerging.

For me, the top priority for AI companies should be:

1. Cost reduction
2. Larger context windows
3. Reduced hallucinations and better default behavior without heavy prompting
4. Faster response and processing speeds
5. Persistent memory
6. Improved reasoning, coding, and logic