We Don't Need Bigger AI. We Need Smarter AI 基础设施.✎ Edit

We Don't Need Bigger AI. We Need Smarter AI 基础设施.

从 a 系统-build standpoint, our first deliverable is already solid: a matured 独立系统 running on a LAMP-based architecture. The rule is simple - not every task needs an LLM. 验证, business rules, reconciliation, workflow control, repetitive logic and a lot of operational decisions can be handled by deterministic code outside the model.

Over the last six months, even though the full platform is still a work in progress, we have shipped around 250 分离式系统. 总计 development cost so far: less than USD200, including dead-ends, retries, 失败 experiments and the mistakes you expect when you build fast. That is practical proof that useful business 系统 do not always need big budgets.

The next layer we are wiring up is a modded AI agent with 智能路由 capability. Instead of defaulting every request to the biggest model in the stack, the agent is being built to continuously pick the smallest, lowest-cost LLM that can still handle the task reliably.

The routing logic is direct: simple task → small model, difficult task → stronger model, no intelligence required → 独立系统. The point is not just to cut token spend. It is to make AI infrastructure economically sustainable by putting intelligence only where the problem actually needs it.

The third layer is our own set of specialised LLM models, tuned to work alongside our 分离式系统. We are currently testing 7 open-source LLM models as the base for this. Hugging Face will be part of our technology ecosystem, giving us access to open-source models, datasets, training 工具 and deployment infrastructure.

But these three 层 are not the end goal. They are stepping stones toward something larger: making 系统 development accessible to ordinary 中小企业 owners - businesses without unlimited funding, GPU farms, IT teams or technical depth.

Eventually, even a makcik selling pisang goreng by the roadside should be able to become the 系统 developer for her own business. She should just be able to say, "Manage my stock, calculate my daily profit, monitor ingredient costs, remember my regular customers and tell me when I need to buy more bananas," and the agent should assemble the 系统 behind that.

That is the roadmap: 独立系统 → 智能路由 → 最低点 Suitable LLM → Specialised Own LLM → AI 辅助 系统 Development for Everyone. Minimum cost is the immediate target. 免费 is the dream. We are not chasing the biggest AI. We are making AI and 系统 development small, cheap and simple enough that the smallest 中小企业 can actually build with it.

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