对AI模型发布及其年底市场影响的思考
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我认为在年底前,我们有大约60%的几率看到另一个重大且具有广泛影响力的多模态AI模型发布,类似于GPT-4的水平。我的理由是当前的竞争压力;没有人希望被视为落后。这不仅仅是边际改进,而是一个真正的飞跃,能够显著提升应用和推理能力,这无疑会影响像$ROSE这样与AI相关的股票的情绪。预计任何可靠的传闻都会引发一波上涨。
由原文自动翻译 · 阅读原文 (English)
我认为在年底前,我们有大约60%的几率看到另一个重大且具有广泛影响力的多模态AI模型发布,类似于GPT-4的水平。我的理由是当前的竞争压力;没有人希望被视为落后。这不仅仅是边际改进,而是一个真正的飞跃,能够显著提升应用和推理能力,这无疑会影响像$ROSE这样与AI相关的股票的情绪。预计任何可靠的传闻都会引发一波上涨。
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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