# 开源AI比以往更重要：一位独立研究者的AI发展立场

- 来源：elvis (@omarsar0)
- 发布时间：2026-09-13 21:50
- AIHOT 分数：34
- AIHOT 链接：https://aihot.news/items/cmtzw8ank02qcroym71be82qr
- 原文链接：https://x.com/omarsar0/status/2099133736310731250

## AI 摘要

独立研究者Elvis Saravia公开反对对AI使用、构建与节奏的过度控制，强调开源AI比以往更重要，认为AI不应被少数人掌控。他列举了仍需解决的问题，包括更好的评测、消除偏见、可靠性、代码质量、OOD问题、自动化工作流生成、自动提示词工程、成本、多模态、延迟、长上下文理解、检索、工具调用与智能体协调等。他呼吁对AI安全保持科学严谨、减少拟人化，并对人类潜力保持乐观。

## 正文

This is all I will say on the matter:

It’s alarming to see the constant effort to try to tell me how I should use AI, how I should build AI, and now how I should pace it.

Is it just me, or are all these proposals demanding way too much control?

It’s clear that open-source AI matters more than ever.

It’s how we free ourselves from suspicious views, constant desire for control, and hidden agendas.

There's still so much to solve.

Better evals, removing biases, novelty generation, reliability, creativity, code quality, OOD problems, automation capabilities like dynamically generating workflows/harnesses, automated prompt engineering, compaction, cost, multimodality, omni models, latency, throughput, long context understanding, retrieval, tool calling, agent coordination, and the list goes on and on.

We need more people working on these problems instead of constantly fear-mongering society about what the technology isn't.

As an independent researcher, I don't ignore the safety concerns around AI. Some are valid. And I work on these every day. But we all need to bring more scientific rigor back to this problem, less anthropomorphizing of frontier capabilities, and concerns more grounded in reality than in personal belief or feelings.

Lastly, I've never seen so much pessimism about human capabilities as what the topic of recursive self-improvement has brought. We need to be more optimistic about humanity's potential, and how we all play a role in this. To me, that's one of the real problems.

I remain optimistic about our field. Transparent dialogue is key to getting this right. But cleverly coordinated self-serving efforts are not welcome. We need to level the playing field. AI is too important to be controlled by only a few.

Now back to building.