AI 访谈、演讲与文献索引

访谈 · 原话 · 已核对

Misha LaskinReflectionAI · 联合创始人、CEO

强化学习消耗了 10,000 多张 GB300 长达四周的时间。因此，实际上花在强化学习上的 FLOPs 比预训练还要多。强化学习任务要复杂得多，因为你既需要利用各类智能体沙箱进行大规模推理，又需要同时进行训练。

reinforcement learning was a little over 10,000 GB300s for four weeks. So, actually there are more flops spent on reinforcement learning. Reinforcement learning jobs are, you know, more complex in the sense that you do both a lot of inference at scale with all sorts of sandboxes for agents and training.

访谈 · 原话 · 已核对

Pat GelsingerPlayground Global · 普通合伙人、Intel 前 CEO

然后我还必须把它放进机架级解决方案里，因为如今已经没有什么单独的芯片了，整个系统就是一个机架。所以这需要 9 个月——我花 3 个月把它设计出来，但要等上整整 9 个月才能实际用上它。

then I have to put it into a rack scale solution because nothing's a chip anymore. It's a rack, you know. So we're 9 months, you know, it took me 3 months to design it, but it's nine months until I can actually start to use it

访谈 · 原话 · 已核对

Greg PstruchaSentry · Staff 软件工程师

look at my GitHub reviews the feedback from the bots the feedback from my peers and try to codify which ones of those are actual high quality lint rules that are deterministic and will be able to capture issues that we otherwise reprompt all the time.

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Gabriel MartinezG2i · 工程经理

Generation is cheap, but evaluation is expensive. If AI produces more than humans can possibly evaluate, it has not accelerated the team. It has created a bottleneck.

访谈 · 原话 · 已核对

Dominik KundelOpenAI · Codex 开发者体验团队成员

That way you're still leveraging all of the work that we put into tweaking the prompts for the individual models, while still customizing it for your specific use case of the harness.

访谈 · 原话 · 已核对

Anders SwansonOracle Database · 开发者布道师

redaction is very important as the first step because before I do embeddings, before I do enrichment, I want to strip out PII. I don't want secrets or irrelevant weird information slipping into the memory layer. That's a recipe for disaster. So, we do redaction first.