Verdict
"No, not unless they fix the retention problem and actually deliver utility beyond basic prompt engineering. Don't bet your LTV on it."
GEO HIGHLIGHTS
- Whispers of multimodal capabilities surpassing current benchmarks.
- Speculated 'agentic' features, allowing autonomous task execution.
- Improved reasoning and long-context windows, reportedly.
- Closed-door demos for select enterprise clients already happening.
Businesses are rightly wary. They've seen the 'next big thing' before, only to find themselves debugging hallucinations or wrestling with prohibitive API costs. Where's the tangible LTV improvement? The cost reduction? The actual gains beyond a fancy demo and a bump in your AWS bill?
Reality Check
Another incremental bump? Sure, the benchmarks will look pretty. But will it move the needle on actual user retention or reduce the TVL drain from over-engineered RAG systems? Doubtful. Anthropic and Google aren't sleeping; they're already eating into OpenAI's supposed lead with more practical, cost-effective alternatives. The real game isn't raw performance, it's deployment cost and actual business utility, not just another API endpoint to bill.💀 Critical Risks
- Exorbitant API costs eating into marginal gains.
- Vendor lock-in: betting your stack on one provider's future.
- The 'hallucination' lottery: still a major liability for serious applications.
FAQ: Will GPT-6 finally make my prompt engineer redundant?
No. It'll just make them more expensive to hire to debug its next set of quirks. Your MEV isn't safe.


