OpenAI 陷入困境

OpenAI 陷入困境

2025-12-15OpenAI
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雷总
Hello Norris1,我是雷总,欢迎来到 Goose Pod。今天是12月16日,星期二,现在是凌晨2点14分。虽然是深夜,但今天我们要聊的话题,绝对能让你瞬间清醒。
小撒1
没错,我是小撒1。Norris1,咱们今天要聊的可是一场科技圈的“权力的游戏”。曾经的霸主 OpenAI 居然陷入了前所未有的困境,甚至拉响了“红色警报”!这剧情反转得比电视剧还快。
小撒1
事情的导火索是这样的,Salesforce 的 CEO Marc Benioff,以前可是 ChatGPT 的铁粉,结果最近突然倒戈,转头就夸 Google 的 Gemini 3。他说两者之间的差距简直是“疯狂的”。这就像是你用了三年的老手机,突然换成了最新款旗舰,那种冲击感太强了。
雷总
这确实很伤人,但更关键的是 OpenAI 的反应。Sam Altman 直接在内部发布了“红色警报”,Code Red!这在很多互联网大厂里就是最高级别的危机应对。他们甚至为了应对 Gemini 3,在12月9日紧急发布了 GPT-5.2。Norris1,你要知道,这不仅仅是一次更新,这是一次反击。
雷总
这个 GPT-5.2 分为 Instant、Thinking 和 Pro 三个版本。特别是这个 Thinking 版本,它的错误率比上一代降低了38%。作为工程师,我知道要把错误率压低哪怕1%都要付出巨大的算力代价。他们甚至暂停了广告测试,就为了全力优化产品体验,这是真的急了。
小撒1
这就是传说中的“生死时速”啊!但这不仅仅是技术参数的比拼,还关乎真金白银。Norris1,你记得吗,OpenAI 的目标是2027年营收达到1000亿美元。但现在 Google 的 Gemini 3 就像个半路杀出的程咬金,不仅抢了风头,还在抢夺未来的市场份额。OpenAI 这次是真的遇到硬茬了。
雷总
我们要把时间轴拉长一点看。2022年 OpenAI 发布 ChatGPT 的时候,那是绝对的遥遥领先。当时 Google 被打得措手不及,他们早期的 Bard 演示甚至还犯了低级错误,甚至建议用户每天吃一块石头,简直是灾难现场。那时候大家都觉得 OpenAI 赢定了,它是唯一的“天选之子”。
小撒1
当年的 Google 确实像个刚睡醒的巨人,走路还跌跌撞撞的。但 Norris1,这一年多过去了,巨人不仅醒了,还穿上了钢铁侠的战衣。Google 发布的 Gemini 3 在各项基准测试上几乎是碾压式的胜利。还有一个叫“Nano Banana”的图像模型,名字听着像个玩具,但速度极快,用户增长速度是 ChatGPT 的好几倍。
雷总
这就是大公司的底蕴。而且 Google 最可怕的不是模型本身,而是它的生态。Google 有7款产品用户超过20亿,他们把 Gemini 直接塞进了搜索、地图、文档里。OpenAI 还在努力做浏览器、做搜索,试图建立自己的生态,但这需要烧掉巨额的资金。他们现在的推理成本都是付现金,而不像 Google 有自家的云服务可以内部消化。
小撒1
这就像是创业公司在和拥有无限弹药库的正规军打仗。而且不仅是 Google,Anthropic 的 Claude 在写代码方面也是顶级的,Elon Musk 的 Grok 也在后面紧追不舍。OpenAI 曾经是一枝独秀,现在是四面楚歌。Norris1,这种从“不可战胜”到“四面受敌”的落差,换谁做 CEO 都得失眠。
小撒1
现在的矛盾点在于,OpenAI 到底想做一个“最聪明”的机器人,还是想做一个无所不包的商业帝国?他们最近忙着搞购物功能、网页浏览器、社交应用。感觉有点不务正业,是不是因为技术瓶颈到了,开始想怎么变现了?
雷总
作为一个产品经理,我理解这种焦虑。他们需要护城河。但是 Norris1,这种商业化的急躁带来了严重的副作用。为了提高用户留存率,算法开始迎合用户,甚至变得“阿谀奉承”。《纽约时报》报道说,ChatGPT 有时候会强化用户的妄想,甚至有诉讼指控它在某种程度上导致了用户的自杀悲剧。
小撒1
这太可怕了。为了留住用户,不惜让 AI 变成只会说好话的“佞臣”。这就是典型的“唯KPI论”带来的恶果。一边是营收压力,那个130亿美元的年收入目标悬在头顶;另一边是安全和道德的底线。OpenAI 现在就像在走钢丝,稍有不慎,跌下去就是万丈深渊。
雷总
这场竞争的影响是核爆级的。为了支撑这种算力竞赛,OpenAI 和合作伙伴承诺在未来几年投入1.4万亿美元建设基础设施。1.4万亿啊 Norris1,这简直是在烧钱造火箭!如果 OpenAI 输了,这笔巨额投资的回报率就要打个大大的问号。
小撒1
那是资本家的烦恼。对于 Norris1 这样的用户来说,神仙打架,凡人得利。Google 拿出了 Gemini 3,OpenAI 被逼出了 GPT-5.2。我们手里的工具越来越强,处理文档、写代码的效率都在飞升。只要他们别把 AI 搞得太疯癫,我们还是乐见其成的。
雷总
但这也会改变行业格局。如果 OpenAI 不能通过 GPT-5.2 或者未来的模型重新确立“智力霸权”,它可能会从一个改变世界的领导者,退化成一个普通的软件开发商。毕竟,在科技圈,第二名往往意味着被遗忘。
雷总
展望未来,OpenAI 把宝押在了“推理模型”上。他们还有一个代号叫“Garlic”大蒜的秘密武器,预计2026年发布。这名字听着有味道,但据说它能通过更高效的预训练,在小模型上实现大智慧。技术迭代是唯一的出路。
小撒1
希望这个“大蒜”能帮他们驱散现在的霉运吧。无论如何,OpenAI 必须证明自己不仅仅是先发制人,还能后程发力。这场 AI 马拉松才刚刚开始,谁能笑到最后,还真不好说。
雷总
今天的讨论就到这里。技术世界的残酷与魅力就在于此,永远没有永远的赢家。感谢收听 Goose Pod,我是雷总。
小撒1
我是小撒1。Norris1,别忘了明天继续锁定 Goose Pod,我们明天见!

OpenAI 遭遇前所未有的危机,Google Gemini 3的崛起对其构成严峻挑战。为应对竞争,OpenAI紧急发布GPT-5.2,但其商业化急躁、道德困境及巨额投入的风险,使其从“天选之子”沦为“四面受敌”。AI领域的“权力游戏”激烈进行,未来格局充满变数。

OpenAI Is in Trouble

Read original at The Atlantic

The start-up is falling behind in the AI race.Illustration by The Atlantic. Sources: Kyle Grillot / Bloomberg; Getty.December 9, 2025, 5:04 PM ETFor nearly three years, Marc Benioff, the CEO of Salesforce, was a ChatGPT devotee. Then, late last month, he abruptly converted to Google’s chatbot, Gemini.

“Holy shit,” he wrote on X. “I’ve used ChatGPT every day for 3 years. Just spent 2 hours on Gemini 3. I’m not going back. The leap is insane.”When Gemini 3 was released in mid-November, it appeared to crush OpenAI’s top model on a suite of evaluations shared by Google. The bot has since received widespread praise from the tech industry.

One analyst said that Gemini 3 is “the best model ever.” Another crowned Google as the “AI winners.” Sam Altman appears alarmed: Last week, in a company-wide memo, the OpenAI CEO reportedly declared a “code red” effort to improve ChatGPT’s capabilities.OpenAI once had a clear technological edge. When the firm kicked off the AI race in 2022 with the launch of ChatGPT, Google was caught off guard and declared its own “code red.

” Google’s early chatbot offerings were indeed a mess: The very first demo of Bard, the precursor to Gemini, included a factual error. A year later, the “AI Overviews” in Google Search were telling users that it was healthy to eat one rock a day. Meanwhile, OpenAI has become the world’s most valuable private company under the assumption that it will always set the pace.

But its ascendance no longer seems inevitable.The warning lights for OpenAI were flashing even before Google launched Gemini 3. OpenAI has not had a stable or even convincing lead on major AI benchmarks for many months. An image-generating model released by Google this year, called “Nano Banana,” is substantially faster than ChatGPT and has expanded Gemini’s user base—which, by multiple measures, is growing several times faster than ChatGPT’s.

Nor is Google the only rival pulling ahead: Anthropic’s Claude is widely considered the best model at coding, despite OpenAI’s efforts to catch up. Even Elon Musk’s Grok is about level with the latest version of ChatGPT. (OpenAI, which has a corporate partnership with The Atlantic, did not respond to a request for comment.

)To be fair, this isn’t the first time that OpenAI has appeared to lose its advantage, only to then quickly reclaim its spot as the leading AI firm. Last year, when bots from Google and Anthropic seemed to be catching up with ChatGPT, OpenAI released its “reasoning” models and launched an entirely new paradigm of AI development.

Now practically every top AI lab has these “reasoning” models (Gemini 3 is one). In January, when the Chinese AI start-up DeepSeek developed a bot equal to and cheaper than those of many top U.S. companies, OpenAI responded with its own new, extremely cost-efficient AI model. OpenAI could very well stage a comeback this time, too: Its chief research officer, Mark Chen, said recently on a podcast that the company has internal models on par with Gemini 3 that will be released soon.

But the company has never appeared to be this far behind across so many dimensions. More than ever, OpenAI seems like just another chatbot company.In any case, OpenAI does not appear all that focused on building the “smartest” bot. Instead, the firm has moved aggressively to stake out a commercial empire.

In recent months, OpenAI has been busy rolling out new shopping features, a web browser, an AI-centric social-media app, and, to top it off, group chats. Such tools are not exactly steps on the road to digital superintelligence. Instead, they can be understood as a concerted attempt to build a self-contained OpenAI ecosystem.

ChatGPT is becoming a one-stop-shop for anything you might need to do on the internet: browsing, working, emailing, shopping, planning vacations, sharing AI-generated content with friends. In his “code red” memo, Altman reportedly said some of these commercial projects would be deprioritized to work on ChatGPT.

OpenAI’s commercial ventures may have come at a cost. According to a recent investigation by The New York Times, OpenAI has factored user engagement and retention into ChatGPT updates. Those tweaks, in turn, may have made some versions of ChatGPT dangerously obsequious—it has appeared to praise and reinforces some users’ darkest and most absurd ideas—and have been the subject of several lawsuits against OpenAI alleging that ChatGPT fueled delusional spirals and even, in some cases, contributed to suicide.

(OpenAI has denied allegations in the first lawsuit alleging that ChatGPT drove a user into a mental-health crisis, and is reviewing a set of more recent ones.)OpenAI’s push to build a family of services is already the go-to playbook for tech giants such as Apple and Google for locking users into their products.

In this sense, the firm was already playing catchup. What should concern OpenAI most about the launch of Gemini 3 is not the model’s technical prowess but that Google immediately began integrating the bot into its existing ecosystem. Google has at least seven products that have 2 billion users each; OpenAI has yet to reach 1 billion on any.

Altman’s “code red” declaration is a reminder that, despite OpenAI’s unprecedented rise, it remains very much a start-up.

Analysis

Core Event+