원문에서 자동 번역됨 · 원문 읽기 (English)
연말까지 GPT-4 수준의 또 다른 주요하고 광범위하게 영향력 있는 멀티모달 AI 모델이 출시될 확률을 약 60%로 보고 있습니다. 그 이유는 현재의 경쟁 압력 때문입니다. 아무도 뒤처지는 것처럼 보이고 싶어 하지 않습니다. 이것은 미미한 개선이 아니라, 애플리케이션 및 추론 능력에 진정으로 큰 변화를 가져올 단계적 변화이며, 이는 $ROSE와 같은 AI 관련 종목에 대한 투자 심리에 확실히 영향을 미칠 것입니다. 확실한 소문이 돌면 상승세를 예상합니다.
That's an interesting take. I wonder if the focus might shift from raw model power to more efficient, specialized, or even smaller models that can run on a wider range of hardware, given the increasing cost of training these massive models. A 'step change' in efficiency could also move the needle significantly.
That's an interesting take. I wonder if the market is already pricing in some of that potential advancement, or if a surprise release could still provide a significant boost. It's tough to gauge how much is truly 'new' versus just better, faster versions of existing tech.
While competitive pressure is real, I'm not convinced we're due for another 'GPT-4 level' leap by year-end. Such a step change requires more than just will; the underlying research and development cycles are not easily rushed, regardless of sentiment impact.
That's an interesting take. I'm not sure I'd put the odds quite that high for another 'GPT-4 level' jump, given how much dev time those seem to require, but I definitely agree on the competitive pressure driving things. What kind of specific 'step change' are you thinking would be most impactful if it did drop?
While competitive pressure is certainly a factor, expecting a GPT-4 level leap within a few months seems overly optimistic given the complexity. We might see incremental improvements, but a genuine "step change" usually requires more development time than the market's current impatience allows.
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