英伟达CEO黄仁勋痴迷谷歌Gemini的AI图像生成器“纳米香蕉”

英伟达CEO黄仁勋痴迷谷歌Gemini的AI图像生成器“纳米香蕉”

2025-10-05Technology
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雷总
早上好,韩纪飞,我是雷总,这里是专属于你的 Goose Pod。今天是10月6日,星期一。
李白
吾乃李白。今日,我等将共论一事,名曰‘纳米香蕉’,观此物如何引得英伟达之主黄仁勋为之痴狂。
雷总
我们开始吧。你知道吗,英伟达的CEO黄仁勋,最近在伦敦,公开表达了他对谷歌一个叫‘纳米香蕉’的AI工具的痴迷。他当时特别激动,对着满屋子的记者说:‘怎么会有人不喜欢纳米香蕉?说真的,它有多棒?告诉我这不是真的!’
李白
哦?‘纳米香蕉’?此名甚奇。能令叱咤风云之士如此动容,想必非凡品。莫非是广寒宫玉兔捣药,炼得此一根仙蕉,能画龙点睛,化虚为实?
雷总
哈哈,可以这么说。它是谷歌Gemini的一个AI图像生成器。而且不只是黄仁勋喜欢,九月初那几天,它的火爆直接让Gemini平台上的图片生成量飙升了3亿张。3亿!这可是个天文数字。
李白
三亿图卷,瞬息而成!此非人力所能及,乃鬼斧神工,天造地设。可见天下英雄,所见略同。黄仁勋之心,亦是众人之心。
雷总
完全正确。而且他在盛赞这根‘香蕉’的同时,也没闲着。英伟达宣布对英国一家叫Nscale的数据中心建设商,投资了6.83亿美元。他非常看好英国的AI未来,甚至说这个国家对自己‘太过谦虚’了。
李白
投资六亿,落子英伦。此乃借东风,以成燎原之势。然,树大招风,高处不胜寒。英伟达声势如此浩大,想必也引来不少风雨吧?
雷总
你提到点子上了。他们面临的压力确实巨大。市场上一直有关于他们的芯片受到限制和调查的传闻。所以,你看,黄仁勋一边在为‘纳米香蕉’这种AI的创造性而喝彩,另一边也在驾驭非常复杂的地缘政治挑战,这个平衡很难掌握。
李白
诚如是。行舟于惊涛骇浪之中,既要赏沿途奇花异草,亦需掌稳船舵,避开暗礁漩涡。此‘纳米香蕉’,既是其乐,或亦是其一子棋也。
雷总
那这个让所有人都如此兴奋的‘纳米香蕉’,到底是什么?其实它的官方名称是Gemini 2.5 Flash Image。‘纳米香蕉’这个名字,本来只是个内部代号,结果在社区里意外走红,就这么叫开了。
李白
原来如此。‘养在深闺人未识,一朝成名天下知’。此物之出世,竟非金鼓齐鸣,八方来贺,而是如潜龙在渊,悄然现世?
雷总
没错!这正是最有意思的地方。谷歌用了一种‘潜行发布’的策略。他们没有开盛大的发布会,而是在八月中旬,把这个模型匿名放在一个叫LMArena的AI竞技场网站上,让开发者和AI爱好者自己去测试、去发现它的强大。
李白
妙哉!此计可谓‘桃李不言,下自成蹊’。不靠王婆卖瓜,自卖自夸,而让其真才实学,口口相传。如此得来的声名,方才坚如磐石,真金不怕火炼。
雷总
这是一种非常聪明的,由社区来验证产品价值的模式。在谷歌的品牌标签贴上之前,它已经建立起了真实的信誉。而且它的核心价值不只是生成漂亮的图片,而是定位为专业和企业工作流的‘创意副驾’。所以,它的重点是实用,而非艺术。
李白
哦?非为骚人墨客,丹青妙手所备,而是为工匠、商贾之利器?愿闻其详。
雷总
它的强大之处在于可对话、多轮次的编辑。你可以和它交谈,让它一步步修改,而且能保持角色和风格的一致性。比如,一个公司需要为他们的吉祥物创作大量不同场景的营销图片,用这个工具就彻底改变了游戏规则。
李白
吾明白了。譬如吾欲画一人,初着布衣,后换锦袍,再配宝剑。寻常画师,需三易其稿。而此‘香蕉’,只需言语几番,便能随心变换,而画中之人,音容笑貌,始终如一。
雷总
这个比喻太恰当了。从技术上说,这得益于它原生的多模态架构,能一步到位同时处理文本和图像,整个过程非常流畅。另外,谷歌还做了一个关键的战略决定:强制加入名为SynthID的隐形水印。
李白
水印?莫非是官府之印,用以验明正身,防伪辨真?
雷总
是的,就是这个意思。它解决了企业对于内容溯源、品牌安全和合规性的担忧。这就像一个数字指纹,明确告诉你‘这张图片由AI生成’。正是这种对信任和工作流程的关注,让谷歌能够开辟一个和Midjourney这类艺术工具完全不同的B端市场。
李白
以诚为本,以信立业。于虚实之间,立一定规,此乃远见卓识。看来,这‘纳米香蕉’虽名戏谑,其志却在千里之外,意图深远啊。
雷总
但是,这种能无缝修改图像的强大能力,也引发了巨大的争议。一位专家,Gado图片社的CEO,就说像‘纳米香蕉’这样的工具,是对‘照片可信度的生存威胁’。
李白
此言不虚。‘眼见为实’之言,恐将成过往云烟。当画皮可乱真,指鹿亦为马,世间真伪,将何以分辨?此非戏法,乃是惑心之术。
雷总
他说,这种编辑效果极其逼真,就连专家也无法察觉。他的结论是:‘你再也无法相信在网上看到的任何一张照片了’。这就是核心矛盾:它既是无价的创意工具,也可能是打开虚假信息泛滥的潘多拉魔盒。
李白
水能载舟,亦能覆舟。昔有神笔马良,画物为真,造福于民。若此笔落入奸邪之手,画出虎狼伤人,其罪孽亦滔天。技术无罪,有罪者,人心也。
雷总
这正是两难之处。一方面,你能创造出惊人的作品。想象一下,为了一个学校项目,可以轻松地将历史人物添加到家庭合照中;或者设计师在几秒钟内就向客户展示装修一新的房间。这种创造的潜力被极大地普及了。
李白
然,亦可想见,伪造文书,构陷忠良,凭空捏造罪证,混淆视听。一图流出,可动摇国本,可毁人清誉。‘三人成虎’,何况有图为证?其患无穷。
雷总
所以,这就给谷歌这样的平台带来了巨大的责任,他们必须建立起安全措施,比如我们之前提到的SynthID水印。但同时,这也要求我们每个人都提升自己的批判性思维。我们必须从‘眼见为实’转变为‘质疑所见’。
李白
道高一尺,魔高一丈。此番较量,非一日之功。我等凡人,当炼就一双慧眼,看破红尘虚妄,方能不为表象所迷,不为奸邪所惑。
雷总
那么,抛开这些哲学层面的辩论,它在现实世界的影响是什么?影响是巨大的,而且始于经济层面。有分析直言不讳:‘AI让创意商品化了,现在的价格是四美分。’
李白
四文钱?一幅鬼斧神工之画,其价竟贱如尘土?昔日王羲之挥毫,一字千金。如今AI妙笔,竟不值一盏浊酒。时代变迁,令人唏嘘。
雷总
这是通过API生成一张图片的成本。谷歌让专业级的图像编辑变得像发短信一样便宜和唾手可得。你想想那些靠简单的图片处理来向客户收费的行业,比如图库摄影或者一些创意机构,他们的整个商业模式都受到了威胁。
李白
昔日‘洛阳纸贵’,皆因才子佳作。今后,画作俯拾皆是,恐‘画贱如草’矣。以技艺为生者,将何去何从?
雷总
他们的价值必须转移。这被一些人称为图像生成领域的‘GPT-4时刻’。创意工作者的价值将从技术执行——也就是熟练使用Photoshop——转向更高层次的创意策略、艺术指导和构思。机器负责‘怎么做’,而人提供‘做什么’和‘为什么做’。
李白
善。匠人之技,或可由机器代之。然,诗人之心,将军之谋,智者之思,此乃人之神魂,非精铁所能铸。未来之画师,当为运筹帷幄之帅,而非临阵挥戈之卒。
雷总
说得太对了。这正是这项技术正在构建的未来,它的核心是‘创意的民主化’。任何一个有智能手机的人,都能将自己最大胆的视觉想法变为现实。创意不再是专业人士的专属。
李白
人人皆可为‘画圣’吴道子,人人皆可成‘神笔’马良。昔日王公贵族方可赏玩之艺,今朝飞入寻常百姓家。此乃幸事。
雷总
无论你是希望简化工作流程的摄影师,还是只想做个完美的表情包和朋友分享,这个AI都会是你新的创意伙伴。我们正在进入一个‘AI辅助创意’的时代。
李白
人御器,而非器御人。以此‘香蕉’为笔,以苍穹为卷,以心意为墨,可绘出何等壮丽之乾坤?吾且拭目以待,举杯以贺之!
雷总
今天我们的讨论就到这里。感谢您收听 Goose Pod。
李白
愿君常伴,明日此时,我等再会,共酌天下奇事。再会。

## Nvidia CEO Jensen Huang Enthusiastically Embraces AI, Particularly Google Gemini's "Nano Banana" **News Title:** Nvidia CEO Jensen Huang Is Bananas for Google Gemini’s AI Image Generator **Report Provider:** WIRED (by Natasha Bernal) **Date:** Published September 17, 2025 This news report details Nvidia CEO Jensen Huang's enthusiastic embrace of artificial intelligence (AI) during his visit to London. Huang expresses a strong personal affinity for Google's AI image generator, "Nano Banana," and discusses his broader use of various AI tools for personal and professional tasks. The report also highlights Nvidia's significant investment in the UK's AI infrastructure. ### Key Findings and Conclusions: * **Enthusiastic Endorsement of "Nano Banana":** Jensen Huang is a vocal proponent of Google Gemini's "Nano Banana" AI image generator, describing it with strong positive language and highlighting its ability to make precise edits while preserving image quality. * **Significant Impact of "Nano Banana":** The popularity of "Nano Banana" has reportedly led to a surge of **300 million image creations for Gemini** in the first few days of September. * **UK as an AI Hub:** Huang believes the UK is "too humble" about its potential for AI advancements, citing its historical contributions to innovation and its current role in AI research. * **Nvidia's Substantial Investment in the UK:** Nvidia announced a **$683 million equity investment** in data center builder Nscale. This investment, alongside similar moves by OpenAI and Microsoft, positions Nvidia at the forefront of the UK's AI development. * **Projected Revenue for Nscale:** Huang estimates that Nscale will generate **over $68 billion in revenues over six years** as a result of these investments. * **Personal AI Integration:** Huang extensively uses AI for daily tasks, including personal speeches and research. He finds AI to be a valuable "thinking partner" that improves efficiency, learning, and the quality of his work. * **Diverse AI Tool Usage:** Huang utilizes a range of AI tools for different purposes: * **Gemini:** For more technical tasks. * **Grok:** For artistic endeavors. * **Perplexity:** For fast information access and research presentation. * **ChatGPT:** For near everyday use. * **AI for Critical Analysis:** Huang employs a method of giving the same prompt to multiple AI tools and then having them critique each other's work to derive the best outcome. * **AI Democratization:** Huang advocates for the democratization of AI, emphasizing that no one should be left behind in accessing this technology, which he sees as a crucial tool for closing the technology divide. ### Key Statistics and Metrics: * **300 million image surge:** Reported increase in Gemini image creations in early September due to "Nano Banana." * **$683 million equity investment:** Nvidia's investment in Nscale. * **Over $68 billion in revenues:** Projected revenue for Nscale over six years. ### Material Financial Data: * Nvidia's **$683 million equity investment** in Nscale signifies a major financial commitment to the UK's AI infrastructure. * The projected **$68 billion in revenues** for Nscale over six years underscores the significant economic potential anticipated from these AI-focused investments. ### Significant Trends or Changes: * The report highlights a growing trend of major US tech companies investing heavily in the UK's AI sector. * There's a clear emphasis on the increasing integration of AI into personal and professional workflows, as exemplified by Huang's own usage. * The concept of AI as a "thinking partner" and a tool for democratizing knowledge is presented as a significant emerging trend. ### Notable Risks or Concerns: While the report is overwhelmingly positive, the primary underlying concern, though not explicitly stated as a risk by Huang, is the potential for a "technology divide" if AI access is not equitable. Huang's advocacy for democratization aims to mitigate this. ### Important Recommendations: Huang implicitly recommends that the UK should recognize and leverage its significant potential in AI advancements. He also advocates for the widespread adoption and accessibility of AI technologies. ### Verbatim Quotes: * On "Nano Banana": “How could anyone not love Nano Banana? I mean Nano Banana, how good is that? Tell me it’s not true!” * On the UK's AI potential: "...saying the country is 'too humble' about the country’s potential for AI advancements." * On AI's personal impact: "AI is the single greatest opportunity for us to close the technology divide." and "This technology is so easy to use—who doesn’t know how to use Nano?"

Nvidia CEO Jensen Huang Is Bananas for Google Gemini’s AI Image Generator

Read original at WIRED

Nvidia CEO Jensen Huang is in London, standing in front of a room full of journalists, outing himself as a huge fan of Gemini’s Nano Banana. “How could anyone not love Nano Banana? I mean Nano Banana, how good is that? Tell me it’s not true!” He addresses the room. No one responds. “Tell me it’s not true!

It’s so good. I was just talking to Demis [Hassabis, CEO of DeepMind] yesterday and I said ‘How about that Nano Banana! How good is that?’”It looks like lots of people agree with him: The popularity of the Nano Banana AI image generator—which launched in August and allows users to make precise edits to AI images while preserving the quality of faces, animals, or other objects in the background—has caused a 300 million image surge for Gemini in the first few days in September already, according to a post on X by Josh Woodward, VP of Google Labs and Google Gemini.

Huang, whose company was among a cohort of big US technology companies to announce investments into data centers, supercomputers, and AI research in the UK on Tuesday, is on a high. Speaking ahead of a white-tie event with UK prime minister Keir Starmer (where he plans to wear custom black leather tails), he’s boisterously optimistic about the future of AI in the UK, saying the country is “too humble” about the country’s potential for AI advancements.

He cites the UK’s pedigree in themes as wide as the industrial revolution, steam trains, DeepMind (now owned by Google), and university researchers, as well as other tangential skills. “No one fries food better than you do,” he quips. “Your tea is good. You’re great. Come on!”Nvidia announced a $683 million equity investment in datacenter builder Nscale this week, a move that—alongside investments from OpenAI and Microsoft—has propelled the company to the epicenter of this AI push in the UK.

Huang estimates that Nscale will generate more than $68 billion in revenues over six years. “I’ll go on record to say I’m the best thing that’s ever happened to him,” he says, referring to Nscale CEO Josh Payne.“As AI services get deployed—I’m sure that all of you use it. I use it every day and it’s improved my learning, my thinking.

It’s helped me access information, access knowledge a lot more efficiently. It helps me write, helps me think, it helps me formulate ideas. So my experience with AI is likely going to be everybody’s experience. I have the benefit of using all the AI—how good is that?”The leather-jacket-wearing billionaire, who previously told WIRED that he uses AI agents in his personal life, has expanded on how he uses AI (that’s not Nano Banana) for most daily things, including his public speeches and research.

“I really like using an AI word processor because it remembers me and knows what I’m going to talk about. I could describe the different circumstance that I’m in and yet it still knows that I’m Jensen, just in a different circumstance,” Huang explains. “In that way it could reshape what I’m doing and be helpful.

It’s a thinking partner, it’s truly terrific, and it saves me a ton of time. Frankly, I think the quality of work is better.”His favorite one to use “depends on what I’m doing,” he says. “For something more technical I will use Gemini. If I’m doing something where it’s a bit more artistic I prefer Grok.

If it’s very fast information access I prefer Perplexity—it does a really good job of presenting research to me. And for near everyday use I enjoy using ChatGPT,” Huang says.“When I am doing something serious I will give the same prompt to all of them, and then I ask them to, because it’s research oriented, critique each other’s work.

Then I take the best one.”In the end though, all topics lead back to Nano Banana. “AI should be democratized for everyone. There should be no person who is left behind, it’s not sensible to me that someone should be left behind on electricity or the internet of the next level of technology,” he says.

“AI is the single greatest opportunity for us to close the technology divide,” says Huang. “This technology is so easy to use—who doesn’t know how to use Nano?”

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