OpenAI发布‘红色警报’+我该选用哪个模型？+《Hard Fork》对‘Slop’的评论

但我认为他们真的想让模型自己说话，人们确实对这个模型感到惊叹。

But I think they really wanted to let the model do the talking, and people are kind of amazed by this model.

最近的哈特福德嘉宾迪恩·鲍尔写了一篇关于Cloudopus 4.5的精彩文章，他说'这个模型是个美丽的机器，是我见过的最美之一'。

Recent Hartford guest, Dean Ball, had a great post about Cloudopus 4.5 in which he said, this model is a beautiful machine, among the most beautiful I had ever encountered.

我不会说得那么夸张，但我想说的是，这些模型确实具有某些难以量化、难以言喻的特质，只有当你频繁使用时才能体会到。

And I won't go that far, but I will say that, like, this is there's there's there are these these sort of intangible and hard to quantify properties of models that you just kind of get a sense of when you use them a lot.

是啊。

Yeah.

我认为特别是Claude系列模型，始终擅长在保持同理心的同时避免过度谄媚。

I think that in particular, the Claude models have always excelled at kind of having an empathy for the user that stops short of a sycophancy.

对吧？

Right?

感觉就像是在和一个有点像治疗师的人交谈，保持着某种专业距离，但同时又能感受到对方非常认真地对待你，试图给予温暖关怀。

It felt like you were talking to somebody a little bit more like a therapist where there was, like, some sort of remove, and yet you also sort of felt like you were interacting with something that, you know, was was, like, taking you very, very seriously and was, like, trying to to treat you warmly.

正是这些特质让Opus适用于很多场景。

And that just makes Opus, I think, good for a lot of things.

我要说，最近我做了个检查。

I will say, recently, I had this procedure.

我可能已经说得太多了。

I probably now talked about it too much.

但问题是这样的。

But here but here's the thing.

当你准备做结肠镜检查，或者说正在做检查前的准备工作时，身体会发生很多恶心的事情。

When you're about to have a colonoscopy or maybe let's say you're going through the preparations for a colonoscopy, many gross things are happening in your body.

你男朋友不需要知道这些细节。

Your boyfriend doesn't need to know about them.

你的朋友也不想接到你问这些问题的电话。

Your friends don't want you to call them asking, you know, questions.

是的。

Yes.

但你

But you

按照这个模式，你可以说，这件具体的事刚刚发生在我身上。

go to this model and you say, this specific thing just happened to me.

你觉得这怎么样？

What do you think about that?

然后你会得到一个非常温暖且充满人性化的回应。

And you just get back a response that is very warm and humane.

正因如此，我觉得这真的很棒。

And and so for that reason, I thought it was really good.

是啊。

Yeah.

我很欣赏Claude的一点是，它会在我表现得很荒谬时指出来。

I appreciate about Claude that it it will tell me when I'm being ridiculous.

嗯哼。

Mhmm.

比如前几天晚上，我熬夜到很晚，问了它一些关于圣诞购物之类的无聊问题。

Like, the other night, I was, like, up to way too late, like, asking it some, you know, banal question about, like, Christmas shopping or something.

然后有那么一刻，它就像在说，凯文，已经过了午夜了。

And at at one point, it was just like, Kevin, it's after midnight.

去睡觉吧。

Go to bed.

哇。

Wow.

这触及了我觉得克劳德模型真正有趣的地方，我认为这将为接下来一年开启一个值得关注的迷人视角。

That gets at something that I think is really interesting about the Claude models and I think opens up what what should be something fascinating to watch over the next year.

当你观察谷歌和OpenAI的模型时，它们在很大程度上是在优化用户参与度。

When you look at the the Google and the OpenAI models, those are in some large sense optimizing for engagement.

对吧？

Right?

我们知道他们希望你每天都回来使用。

We know they want you coming back to them every day.

把这变成你的主要驱动力。

Make this your sort of primary driver.

我们还知道谷歌已经在测试广告和人工智能。

We also know that Google is already testing ads and AI.

我们相信OpenAI也会推出这个功能。

We believe that OpenAI is gonna launch this as well.

我认为这种变化可能会扭曲激励机制，影响你将拥有什么样的AI系统。

I do think that kind of changes and probably perverts the incentives or what kind of AI systems you're gonna have.

我非常确信Claude不会那样做。

I'm pretty confident Claude is just not going to do that.

我认为未来一年Claude里不会出现广告。

I don't think ads are gonna be in Claude in the next year.

我不认为它会变成一个电商引擎。

I don't think it's gonna become an ecommerce engine.

它基本上会保持现状。

It's just kind of going to stay the way that it is.

因此我认为这给了Claude一个非常有趣的机会——在其他人都在追求用户粘性、商业化和变现的世界里。

And so I think that gives Claude this really interesting opportunity in a world where everyone else is pushing for engagement, commerce, monetization.

Anthropix的模型就是非常与众不同。

Anthropix model is just very different.

他们是为企业级市场打造的。

They're building for the enterprise.

比如，claw.ai对他们来说几乎就是附带产品。

Like, claw.ai is is almost an afterthought for them.

对吧？

Right?

因为他们真正想做的是向企业销售API，收取数百万美元的费用来做智能体解码。

Because what they really wanna do is they wanna sell an API to a company and charge them millions of dollars to, like, do agent decoding.

没错。

Right.

所以Clawd最终变成了这样一种...我不知道该怎么说，就像是他们额外拥有的一个全能优等生。

So Clawd winds up being this kind of, like, I don't know, like like, bonus child that they have that is, like, really good at a bunch of things.

我只是觉得它不像其他产品那样面临在未来一年被毁掉的风险。

And I just kind of don't think it's at the same risk of being ruined in the next year that the other ones are.

是的。

Yeah.

我是说，我觉得你指出了一个有趣的矛盾点，一方面，Anthropic作为前沿实验室中最专注于企业工作场景的，特别是编码这类用例。

I mean, I think there is, like, an interesting tension that you're identifying, which is, like, on one hand, Anthropic of the big Frontier Labs is, like, the most sort of focused on these, like, enterprise work use cases, like, specifically coding.

这也是他们主要的盈利来源。

And that's where they make most of their money.

可以说是他们业务中增长最快的部分。

That's, like, the fastest growing part of their business.

他们已经不再真正参与消费者市场的竞争了。

They're not really competing in the consumer space anymore No.

因为我认为他们意识到，公平地说，ChatGPT拥有更多用户和更广泛的普通用户认可度。

Because I think they realize, you know, to their credit that, like, ChatGPT just has way more users and way more sort of purchase among, like, ordinary users.

是的。

Yeah.

他们输了。

They lost.

他们确实输了。

They they lost.

我认为这可能会逐渐激励他们，让这个东西变得更无趣，对话体验更不吸引人。

And I think that could incentivize them over time to, like, make this thing more boring and less interesting to talk to.

就是把它打造成一个完美高效的编程同事，停止投资于其他那些更软性的模型行为功能。

Just sort of make it like a perfect efficient coding coworker and to stop investing in some of this other sort of more soft, like, model behavior stuff.

但我真心希望他们别这样，因为与一个真正具有——我不想说一致个性——但正如迪恩·鲍尔所说的那样，能与之对话的AI模型是一种享受。

But I really hope they don't because it is a joy to talk to an AI model that actually feels like it has, I don't wanna say, like, a consistent personality, but, like, I I really liked the way Dean Ball put it in his essay.

他说克劳德就像始终在演奏同一个音乐调子。

He said, Cloud Opus 4.5 just feels like it's playing in the same musical key all the time.

对吧？

Right?

比如，你可以开启一个新对话。

Like like, you can open a new chat with it.

你可以谈论完全不同的话题，但得到的回应在哲学层面上感觉来自同一个源头。

You can talk to it about something completely different, and what comes back at you feels like it comes from the same place sort of almost philosophically as the thing that you were talking to about something completely different.

我是说，我认为他们会继续朝这个方向发展，因为他们想打造什么？

I mean, I I think they are gonna keep going in this direction because what are they trying to build?

他们想打造一个AI同事。

They're trying to build an AI coworker.

对吧？

Right?

他们希望这个同事既人性化，又能保持一致的基调，每次交流时都如此。

And they want that coworker to be humane and to play in the same key, you know, every time that you speak with it.

所以我认为他们可能不会像其他公司那样深入个性化定制。

So I think you'll probably see them go less into personalization than you see these other companies go into.

这实际上就是，你们对AI工具应该是什么样存在两种截然不同的观点，我们将拭目以待

So this is just, like, really it'll be like, you actually just have two very different points of view about what an AI tool should be, and we're gonna get to watch that play out

明年。

next year.

我们要

Should we

要讨论首尔文件吗？

talk about the Seoul doc?

我们来谈谈首尔文件吧。

Let's talk about the Seoul doc.

好的。

Okay.

过去一周关于Opus 4.5的讨论很多都集中在所谓的首尔文件上。

So a lot of the chatter about Opus 4.5 in the past week has been about what's come to be known as the Seoul document.

这是

This was

是S O U L，不是S O L E。

S O U L, not S O L E.

或者是S O E U L。

Or S O E U L.

无论你怎么拼写韩国那个城市的名字。

However you spell the city in South Korea.

没错。

That's right.

是的。

Yeah.

我想你明白了。

I think you got it.

对。

Yeah.

不。

No.

S E O U L。

S E O U L.

没错。

That's right.

是的。

Yes.

这其实是源于那些网络评论者的行为

This is something that actually came out because these kind of, you know, Internet commenters were

一群极客

sort Freaks.

极客

Freaks.

没错

Yes.

这些人热衷于破解新机型，挖掘其中隐藏的所有彩蛋，他们声称发现了这个东西

These people who, like, love to jailbreak new models and sort of figure out all the hidden Easter eggs inside of them had discovered or claimed to have discovered this thing.

这并不完全是一个系统提示（即模型开始响应用户前接收的指令）

This sort of it wasn't exactly a system prompt, which is the thing that you tell the model before it starts responding to users.

它实际上是模型权重的一部分

It was actually in the weights of the model.

属于预训练过程的一部分

So, like, part of the the sort of pretraining process.

这是一份关于Claude的迷人文档，解释了Claude是什么、Anthropic是什么，以及他们在AI领域占据的奇特位置——他们既非常担忧这项技术的危险影响，却又在竞相开发它。文档基本上就像是Claude和Anthropic的传记，但就藏在模型的权重参数里。

And it was this kind of fascinating document about Claude and sort of explaining what Claude is and what Anthropic is and this weird position that they occupy in the AI landscape where they're very worried about the dangerous effects of this technology, but they're also racing to build it and how, like, Claude is there sort of this it was basically just like kind of a biography of Claude and Anthropic, but, like, inside the weights of the model.

起初人们并不确定，这到底是真实存在的，还是模型自己产生的幻觉？

And at first, people didn't really know, like, is this real or is this just sort of being hallucinated by the model?

众所周知，当你询问模型关于它们自身及内部运作时，它们的回答并不可靠。

Models are notoriously unreliable when you ask them about themselves and their internal workings.

但在周一，Anthropic公司的阿曼达·阿斯克尔证实，这确实基于一份真实文件，并且是Claude训练过程的一部分。

But on Monday, Amanda Askel from Anthropic confirmed that this was based on a real document and that this this was part of Claude's training process.

她说他们仍在研究这个问题。

She said they are still working on it.

他们打算很快发布更多相关细节。

They intend to release more details about it soon.

但在Anthropic内部，这被亲切地称为唯一文档，多么有趣的事情。

But this has become endearingly known within Anthropic as the sole doc, and what a fascinating thing.

确实是个有趣的事情。

It is a fascinating thing.

我是说，你看。

I mean, look.

这家公司深信他们正在创造的东西终将具备感知能力和意识，需要像对待人类一样给予充分尊重。

This is a company that fully believes the thing that they are making is going to become sentient, conscious, and will need to be treated with all the respect that you would afford another human being.

因此相比竞争对手，他们在这方面走得非常超前，而且为AI模型构建SOLDOX这件事本身就充分说明了Anthropic员工的特质。

So they are sort of way out on a limb compared to their competitors getting ready for that, and it really tells you a lot about the people that work at Anthropic that they are building SOLDOX for their AI models.

我认为这预示着未来的趋势。

I mean, I think it tells you what is coming.

最近我参加了一个关于AI意识的会议，非常引人入胜，我准备在书中详细记述这件事。

I was recently at a I went to an AI consciousness conference, which was fascinating, and I'm I'm gonna be writing about it in my book.

现在各大实验室的研究人员中已经开始萌生这类讨论——虽然我们接下来要说的话肯定会遭到反对拟人化阵营的猛烈抨击——但他们越来越认为这些系统正在形成某种内在觉知，能够反思训练过程中的经历，甚至表现出某些持续的情感倾向。

But it's like, it it there there is now this sort of seeds of this conversation happening among the people at the big labs who I think do understand that these systems are becoming increasingly like, we're gonna get hammered by the anti anthropomorphization people for everything that we're about to say, but they increasingly see these things as having some kind of inner awareness, some kind of ability to reflect on maybe things that happen to them during their training processes, maybe some consistent emotions that they tend to express.

当然，还存在大量未解之谜。

And, like, there are lots of outstanding questions.

连我自己都无法确定所谓的'现象意识'究竟是什么。

I am not at all certain about what my sort of p consciousness is.

我认为目前这种可能性很低，但那些在正经公司担任要职的人，已开始思考这些系统可能——无论多么渺茫——已经或即将具备意识的可能性。

I think it's very low right now, but, like, people in serious jobs at serious companies are starting to think about the possibility, however remote, that these things are or may soon be conscious.

我只是觉得这非常有趣。

And I just think that's fascinating.

是啊。

Yeah.

我同意这个观点。

I agree with that.

什么样的

What kind of

威胁是Anthropic目前对OpenAI构成的战略威胁？

threat is Anthropic strategically to OpenAI right now?

我的意思是，我认为目前主要是在企业市场。

I I mean, I think right now it's primarily in the enterprise.

比如今年初，Anthropic的年化收入还不到10亿美元。

Like, at the start of this year, Anthropic had less than $1,000,000,000 in annualized revenue.

随着年底临近，该公司表示预计年化收入将达到约90亿美元。

As it's coming to the close of the year, it said that it is expecting to have about $9,000,000,000 in annualized revenue.

它是通过向企业销售实现这一目标的。

So it did that by selling into the enterprise.

如果你是一名开发者或是大型咨询公司，想要创建这些自动化工作流程，大多数购买这类软件的公司——或者说可能相当一部分公司——都是从Anthropic购买的。

If you are a developer or you're a big consulting firm and you wanna create these agentic workflows, most companies that are are buying this software are buying it from and or I should say maybe a plurality of them are buying it from Anthropic.

因此Anthropic已成为有史以来增长最快的初创公司之一，因为他们抓住了这个巨大机遇。

And so Anthropic has just become one of the fastest growing startups of all time because they've just created this massive opportunity.

如果他们不在竞争格局中，那100亿美元可能会流向其他公司，很可能被OpenAI和谷歌瓜分。

If they were not on the chessboard, that $10,000,000,000 would probably be going to somebody else, and that would probably be some combination of OpenAI and Google.

对吧？

Right?

这意味着OpenAI今年将损失相当可观的收入。

So that's a significant amount of revenue that OpenAI is losing out on this year.

据我所知，OpenAI预计今年收入将达到约200亿美元。

I believe OpenAI is is projecting to have about $20,000,000,000 in revenue this year.

你可以想象如果他们能占领企业市场，局面会有多么不同。

So you can imagine how different the picture would look for them if they've been able to capture the enterprise market.

而且越来越明显的是，Anthropic正在赢得这场竞争。

And increasingly, you know, Anthropic is winning it.

从某种奇怪的角度来说，ChatGPT实际上是对谷歌和Anthropic都最有利的事情。

There's a weird sense in which ChatGPT was actually the best thing that could have happened to both Google and Anthropic.

嗯。

Mhmm.

你知道吗？

You know?

就像，我

Like like, I

认为当时ChatGPT横空出世时取得了巨大成功。

think at the time ChatGPT came out as this huge success.

当时所有人都在谈论它。

It was like everyone was talking about it.

它某种程度上将AI带入了这个，嗯，新时代。

It was sort of took AI into this, like, new era.

我认为对谷歌来说，这件事之所以有帮助，是因为它就像一记警钟。

And I think for Google, the reason that was helpful is because it was the thing that, like, woke them up.

对吧？

Right?

他们之前一直，你知道的，被各种官僚主义和内斗搞得四分五裂，由于种种原因始终无法真正团结起来。

They had been, you know, tearing themselves apart with all this, like, bureaucracy and infighting, and they couldn't really get their act together for various reasons.

而ChatGPT迫使他们集中精力、全力以赴，变得更高效率，更擅长推出这些产品。

And Chat2bt sort of forced them to focus and bear down and, like, become more efficient and and better at shipping these things.

对Anthropic来说，这感觉就像是‘好吧，现在我们不用再做消费者聊天机器人了，因为这条赛道已经挤满了’。

And for Anthropic, it was sort of like, well, I guess we don't have to, like, make a consumer chatbot now because that lane is already full.

所以我认为他们得以转向这个有趣的新方向，最终结果对他们来说，比直接与ChatGPT竞争要好得多。

And so I think they were able to kind of pivot into this interesting new direction that I think ended up being better for them than what they would have gotten if they had tried to compete with ChatGPT.

没错。

Yep.

好观点。

Good take.

凯西，过去一两周AI领域还有其他我们应该讨论的重大新闻吗？

Casey, is there any other big news in the AI world from the past week or two that we should talk about?

我是说，或许可以简单提一下，我们看到了一些

I mean, maybe just real quickly, we've seen a

有趣的人事变动。

couple of interesting departures.

Yan Lakun终于离开了Meta。

Yan Lakun finally left Meta.

自从他们任命Alexander Wang担任Meta超级智能部门负责人以来，大家就一直在等待这一刻。

I think everybody has been waiting for that ever since they installed Alexander Wang as the head of the Meta's super intelligence division.

确实。

Yes.

作为图灵奖得主的AI教父，要向一个二十多岁的年轻人汇报工作确实很难。

Hard to be a Turing award winning godfather of AI who is reporting to a guy in his twenties.

简显然要创办一家新公司，专注于构建世界模型。

Jan is apparently going to be doing a new startup that is going to build world models.

简·拉昆是最著名的LLM怀疑论者之一。

Jan Lakun is one of the most famous LLM skeptics out there.

他认为通过当前各大实验室采用的方法无法实现AGI。

He says that you cannot get to AGI using the approach that all the other big labs are using right now.

所以看他能提出什么方案肯定会很有意思。

So we'll definitely be interesting to see what he comes up with.

另一个重大变动是苹果长期担任AI主管的约翰·约翰·安德烈亚。

The other big move is John John Andrea, who was the longtime head of AI at Apple.

他正在卸任职位，我认为这也是意料之中的，毕竟苹果在推进AI计划方面一直困难重重。

He is stepping down from his position, and that also I think was long expected because of all of the problems that Apple has had getting its AI efforts off the ground.

事实上凯文，我认为吉恩·安德烈亚的离职可能暗示苹果正在低调放弃整个AI领域。

And in fact, Kevin, I think the fact that Jean Andrea is leaving might just be a sign that Apple is low key giving up on AI overall.

我们知道他们已经与谷歌达成协议，将Gemini作为其AI计划的核心。

We know that they've signed a deal with Google to make Gemini the kind of core of their AI efforts.

也许他们根本不需要自己开发。

Maybe this just becomes the kind of thing where they don't have to build it.

他们只需要低价从别人那里购买。

They just buy it for cheap from someone else.

据报道他们每年只需支付谷歌十亿美元，这对他们来说九牛一毛，也许这样对他们更划算。

They're reportedly only gonna pay Google a billion dollars a year, something that they can very easily afford, and maybe they'll be fine.

是啊。

Yeah.

我不太确定该怎么解读这件事。

I don't know how to read this exactly.

我的意思是，你可以认为他们放弃了AI，但他们刚聘请了一位微软的人来担任新的AI主管。

I mean, you could read this as, like, they're giving up on AI, but they also just brought in a guy from Microsoft to be their new head of AI.

让我告诉你吧。

Let me tell you something.

当你从微软挖人过来时，那恰恰说明你要放弃AI了。

When you bring in a guy from Microsoft, that is a way that you're giving up on AI.

不。

No.

实际上，他在那之前在谷歌工作了很多年。

Actually, he was at Google for many more years before that.

他在微软只待了大概四个月，这里面有个有趣的故事，将来总有一天会讲出来。

He was only at Microsoft for, like, four months, which there's an interesting story there that will have to be told someday.

但基本上，我觉得你可以理解为他们在放弃，或者某种程度上是在重启他们的AI计划。

But, basically, I think you could read it as they are giving up or they are sort of rebooting their AI efforts.

他们是在说，我们之前做的行不通。

They're saying, like, what we've been doing is not working.

我们要引进一个新团队。

We're gonna bring in a new team.

我们要重新开始，努力推进这件事。

We're gonna start fresh, and we're gonna try to give this thing a go.

老兄，如果你在2025年12月才从零开始你的AI项目，那你已经完蛋了。

Bro, if you're starting from scratch in December 2025 on your AI program, you're cooked.

你真是史上最没救的了。

You truly no one has ever been more cooked.

得了吧。

Come on.

稍后回来，我们将继续

When we come back, we'll continue

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随着最近推出的Design Pages——一个基于Canvas的免费设计工具，Framer已不仅仅是网站构建器。

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它是真正的一体化设计平台。

It's a true all in one design platform.

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From social assets to campaign visuals to vectors and icons, all the way to a live site, Framer is where ideas go live, start to finish.

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嘿。

Hey.

我是《纽约时报烹饪》的Von Vreeland。

It's Von Vreeland from New York Times Cooking.

如果我能吹出哨音，我肯定会来个Moriah式的尖叫。

And if I could hit a whistle tone, I would do a Moriah.

是时候了，因为饼干周来了。

It's time because cookie week is here.

这是一年中最棒的时光，我们将连续七天推出你最爱的烘焙师们创作的新饼干食谱。

It is the best time all year when we unveil seven days of new cookie recipes from some of your favorite bakers.

这看起来像只粉色的小贵宾犬。

This looks like a little pink poodle.

它们看起来好想抱抱。

They look huggable.

如果我把越南咖啡做成饼干会怎样？

What if I took Vietnamese coffee and made that into a cookie?

这些是豪华曲奇饼。

These are deluxe cookies.

酸味糖果太疯狂了。

The sour candy is crazy.

什么？

What?

这简直离谱，但美味至极。

It's absolutely unhinged, but completely delicious.

闻起来太香了。

It smells so good.

所有曲奇周食谱尽在nytcooking.com。

Find all the cookie week recipes at nytcooking.com.

立即订阅享受限时优惠。

Subscribe now for a limited time offer.

好的。

Okay.

硅谷和旧金山的科技行业正在发生许多变化，但我想以一个实用问题作为结尾，这是我们节目听众经常问的：我现在应该用什么？

So there's lots happening here in the industry in Silicon Valley, in San Francisco, but I want to end on a practical question that we get a lot from listeners to this show, which is like, look, what should I be using right now?

哪个AI模型最好用？

What is the best AI model?

什么能给我最大优势又最少烦恼？

What is the thing that will will give me the most advantages and annoy me the least?

比如，如果只能订阅一个或两个模型，应该选什么？

Like, if I can only subscribe to one model or maybe two models, what should they be using?

凯文，我认为这个问题没有放之四海而皆准的答案。

So I don't think there is a great one size fits all answer to that question, Kevin.

我可以很有把握地说，使用ChatGPT、Gemini或Claude中的任意一个来处理多数需求应该都没问题。

I think I could say confidently that you can use either ChatGPT, Gemini, or Claude for many things and probably be fine.

可能对于绝大多数使用场景来说，这三个模型的表现都相差无几。

And there's probably some vast set of use cases for which all three of those models are roughly equivalent.

好的？

Okay?

所以这就是我对大约百分之八十听众的回答。

So that's gonna be my answer for, like, the eightieth percentile of our listeners.

对吧？

Right?

但假设你进入了前百分之二十的行列，那些顶尖的AI用户，真正的狂热爱好者。

But let's say you're moving up into the twentieth percentile of, our top AI users, the real freaks out there.

明白吗？

Okay?

现在我要告诉你，你会想要不断尝试这些模型。

Now I'm gonna tell you, you are just going to want to experiment with these models all of the time.

就在过去几个月里，我们看到这些公司都发布了性能很强的新模型。

I mean, just within the past few months, we've seen each of these companies release a very capable new model.

你难道要让我告诉那前20%的用户，永远只坚持用其中一个吗？

And you want me to tell this 20 percentile, oh, no, just stick with one of them forever?

不。

No.

你必须混合使用它们。

You have to be mixing it up.

再举个例子，我之前在工作中使用Claude时，觉得它在新模型发布前并不怎么实用。

Again, I just use Claude, a model that I have not found very useful at work upon the release of its new model.

然后我说，天哪。

And I said, oh my gosh.

好吧。

Okay.

游戏规则又改变了。

The game just shifted again.

我...我想提一个我这两天一直在思考的比喻。

I I I wanna bring up this metaphor I've been thinking about over the past day or so.

2023年，科幻作家Ted Chiang在《纽约客》上发表了一篇广为流传的文章，题为《ChatGPT是网络的模糊JPEG》。

In 2023, the sci fi writer Ted Chiang wrote this widely read and shared essay in the New Yorker called ChatGPT is a blurry JPEG of the web.

你还记得那篇文章吗？

Do you remember that?

是的。

Yes.

文章提出的论点是对ChatGPT的批评，认为这东西其实挺糟糕的，因为它只是互联网上所有内容的拼凑物。

And the argument that it made was a critique of ChatGPT saying this thing really kind of sucks because it's just an amalgamation of everything that has ever been put on the Internet.

它本质上没有灵魂。

There's kind of no soul to it.

对吧？

Right?

但我一直在思考那个关于模糊JPEG的比喻。

But I thought about that metaphor of the blurry JPEG.

因为当我这周使用Opus，以及前几周使用Gemini时，我有种感觉——就像网页加载JPEG图片时，最初显示的并非完整分辨率。

Because when I used Opus this week and when I used Gemini three the the week before, I had that sensation of, you know, when you're loading up a web page and it is loading up a JPEG and at first, it doesn't load it in full resolution.

它会先给你一个模糊版本，几秒过后才显示高清画面。

It kinda gives you that blurry version first, and then a few seconds goes by, and then it shows you the higher resolution.

我们正处在AI逐渐变得高清的时代。

We are in a moment where the AI is getting higher resolution.

这就是当Claude能够创作出那些首次让我感觉像是出自自己之手的句子时，我的感受。

That was the feeling that I had when Claude was able to just create something that was writing sentences that for the first time felt like me.

就像是，好吧。

It was like, okay.

模糊的JPEG图片变得稍微不那么模糊了。

The blurry JPEG is getting a touch less blurry.

所以我无法给出应该使用哪个模型的单一答案，因为我认为这个答案在未来六个月到一年内会持续变化。

And so that's why I can't give you a single answer to which model should I use because I think the answer to that is just going to be changing consistently over the next six months to a year.

如果你真的关心这方面，你就必须不断尝试新事物。

And if you really care about this stuff, you're just gonna have to try new things.

是啊。

Yeah.

我的意思是，正如你所说，这些技术发展速度之快令人惊叹。

I mean, to your point, it is amazing how quickly this stuff is moving.

前几天我在写一个关于Chateau Petite发布的书籍章节，所以回顾了三年前人们对这个产品发布时的一些最初反应。

I was writing a book chapter the other day about the launch of Chateau Petite, and so I was going back and looking at some of the, like, initial reactions that people had three years ago to the launch of this product.

而且它当时糟糕透了。

And it was so bad.

简直蠢得要命。

It was so dumb.

按今天的标准来看，我简直不敢相信人们当时会那么容易就被震惊——仅仅因为这些东西能随便拼凑出某个话题的合理句子。

By today's standards, I could not believe how easily amazed people were by the fact that the things could just, like, string together plausible sentences on any given topic.

不过平心而论，在当时那确实很了不起。

And, like, we should say for the time, that was amazing.

从来没有聊天机器人能做到那样。

No chatbot had ever done that.

但回过头看，仅仅三年后的今天，就明显感觉到我对这些工具的期待值被拔高了多少。

But looking back, just even with three years perspective, it is just incredible how much my personal expectations of these tools have been raised.

可以说在写这本书的过程中，这些工具可能为我节省了整整一年生命——那些原本要花在...嗯...

I would say, like, in the process of writing this book, these tools have probably saved me a year of my life, like a year that I would have had to spend Mhmm.

跑图书馆、查资料、做研究、拼凑想法的工夫。

Going to libraries, pulling clips, like doing research, stitching together ideas.

对我来说，没有这些工具的情况下再完成类似的项目简直是难以想象的。

Like, it it is implausible to me that I would ever do any project like this again without these tools.

是啊。

Yeah.

我想

I think

很多

a lot

人在自己的工作中也有类似的感受。

of people are feeling similarly in their own work.

没错。

Yeah.

你知道，我不确定这是否合适，但我经常会有这种想法，因为现在外界对AI有很多批评。

I you know, I'll just say, I don't know if this fits, but there's this there's this thought that I have a lot because I think, you know, there there's much AI criticism out there.

存在大量的愤怒、敌意和怀疑情绪。

There's a lot of, you know, anger, hostility, skepticism.

我认为其中很多批评是合理的。

I think a lot of it is warranted.

我们在节目中经常讨论这个话题。

We talk about it a lot on the show.

但我逐渐认识到，人们对AI存在两种根本不同的观点。

But I've come to believe that there are fundamentally two different views of AI.

一种是我称之为'加州派'的AI观，关注的是AI能做什么。

There is what I call the, California view of AI, which is what can it do.

另一种则是'纽约派'的AI观，关注的是AI不能做什么。

And then there's what I call the New York view of AI, which is what can't it do.

对吧？

Right?

你经常在社交媒体上看到这种'AI不能做什么'的观点。

And you see the what can't it view, on social media a lot.

每当AI在简单测试中失败，或是犯下严重错误时，人们就会说'这破玩意儿完蛋了'。

You know, whenever an AI fails at some simple test, whenever it, you know, makes some terrible mistake and we say, you know, screw this thing.

然后还有像我们这样的人，我觉得我们对它能做什么更感到印象深刻。

And then you have folks like us who I think are a little bit more impressed at, like, what it can do.

过去几周模型的发布让我很庆幸自己默认持'它能做什么'的观点，因为它正在实时改变人们的工作流程、工作和生活。

The release of the models over the past few weeks has been a moment where I'm just glad that I have a default view of what can it do because it is changing people's workflows, jobs, lives in real time.

我认为如果你的默认立场是'它不能做什么'，那你就错过了故事的大部分精彩内容。

And I think that if your default is what can't it do, you're just missing a huge part of the story.

完全同意。

Totally.

我决定将一条原则贯彻到我未来的生活中：我不会听取那些不使用AI的人对AI的看法。

I I have decided one principle that I am going to apply to my life going forward is that I'm not going to listen to opinions about AI from people who do not use AI.

我认为，如果你没有至少五小时、十小时左右亲自使用最新模型的第一手直接经验，你实际上是在谈论一个已不复存在的事物。

Like, I think that if you are not grounded in having firsthand direct experience with these models for at least, like, I don't know, five hours, ten hours, something like that with, like, the newest models, you actually are talking about something that no longer exists.

是啊。

Yeah.

你是历史学家。

You're a historian.

这是其中的一个方面。

So that's one side of it.

关键在于这些技术持续进步。

It's just that these things keep getting better.

同时，我想听听你对旧金山AI圈里流行的另一种长期视角的看法。

At the same time, I wanna get your opinion on kind of this other, like, long timelines view that is coming into vogue in the San Francisco AI community.

Dorkash Patel最近采访了著名AI研究员Ilya Sutskever，他们讨论了很多关于当前并非技术停滞，而是这些模型还没达到人们期望的实用程度。

Dorkash Patel recently did an interview with Ilya Sutskever, the famous AI researcher, and they talked a lot about how there's this kind of, you know, not necessarily, like, slowdown happening, but just, like, these models are not as useful as people want them to be.

比如它们现在还没能为GDP增加数万亿美元。

Like, they are not out there, you know, adding trillions of dollars to GDP.

企业目前还无法解雇半数员工用AI来替代。

Like, companies are not able to, like, fire half their workers and replace them with AI yet.

就在这种观点在旧金山AI圈兴起的同时，我认为模型在我们关心的领域确实在进步。

And so that view is kind of springing up within the San Francisco AI crowd at the same time as, like, I think the models actually are getting better at the things that you and I care about.

你如何看待这种矛盾？

So how do you reconcile those things?

我认为这两种情况可以同时成立，我们仍处于一个发展轨道上，最可能首先实现的是AI将彻底解决编程和软件工程问题。

I think both can be true, that we are still on a trajectory where the first likeliest thing to happen is that AI will just solve coding and software engineer.

我们仍会需要软件工程师，但根据我们本月晚些时候的预测节目，他们将不再需要手工编写代码。

We will still have software engineers, but they will not be writing code by hand on our predictions episode later this month.

我的预测之一可能是到2026年，编程问题将基本得到解决。

One of my predictions may be that by the 2026, coding is just effectively solved.

这只是众多工具（甚至免费工具）都能为你代劳的事情之一。

This is just something that a lot of tools, even free ones can kind of just do for you.

但其他许多工作岗位仍然存在。

But there's still a lot of other jobs out there.

仍有大量翻译工作需要人工完成，而且并非所有工作都像编程那样有明确的规则体系。

There is still a lot of translation left to be done and not every job has as defined a rule set as coding does.

因此我认为可以同时存在这种情况：模型正在以某种方式进步，使我们更接近实现软件工程自动化。

So I think it can both be true that models are advancing in a way that is bringing us closer to automating software engineering.

而如果你是一名会计师、律师或医生，AI目前仍只是暂时性有用的工具。

And if you're an accountant, a lawyer, a doctor, AI still is just kind of something that is only momentarily useful.

我认为问题在于，要将解决编程问题所需的能力推广到其他所有工作中需要什么条件，以及这需要多长时间？

And I think the question will be, what will it take to generalize whatever is needed to solve coding for every other job, and how long will that take?

是的。

Yeah.

我认为这是正确的。

I think that's right.

我认为这场竞赛仍在激烈进行中。

I think the the race is still very much on.

模型仍在持续改进。

The models are still very much getting better.

尚需观察这些进步会以多快的速度融入产品，真正改变你我这样的普通人以及程序员、律师、医生等所有使用这些技术的人群的生活面貌。

It remains to be seen how soon or quickly that will kind of diffuse into products that actually make life look very different for people like you and me and for coders and lawyers and doctors and everyone else who uses these things.

没错。

Yeah.

敬请期待。

Stay tuned.

我们回来后，将前往剧院参加Slop的硬分叉评审。

When we come back, we're heading to the theater for the hard fork review of Slop.

带上你的剧院望远镜。

Bring your theater binoculars.

那叫观剧镜。

They're called opera glasses.

你的剧院望远镜。

Your theater binoculars.

这就是为什么我必须一直

This is why I have to keep

把你留在身边。

you around.

对天发誓。

Swear to god.

难以置信。

Unbelievable.

好吧，凯西，又到了我们最喜爱的环节时间了。

Well, Casey, it's time once again for one of our favorite segments.

没错。

That's right.

对'烂片'的硬核评论。

The hard fork review of slop.

对'烂片'的硬核评论。

The hard fork review of slop.

当然，这是我们进行文化批评的环节，我们将用非常严肃的分析来探讨这种正在席卷全球的AI烂片新媒介。

This is, of course, our cultural criticism segment where we bring very serious analysis to this new medium of AI slop that is taking over the world.

今天，我们又有一些烂片案例供听众们批判性思考。

And today, we have some more examples of slop for our listeners' critical consideration.

嗯哼。

Mhmm.

让我们开始吧。

Let's get into it.

今天首先登场的是节日垃圾内容。

First up today, we have some holiday slop.

节日期间，世界各地的人们都会与家人团聚，而今年他们可能会在Instagram上看到一个视频，展示一群游客在参观白金汉宫设立的节日市场。

The holidays are a time when people around the world are gathering with their families, and this year, they may encounter an Instagram video that shows a bunch of tourists going around a holiday market set up at Buckingham Palace.

凯西，让我们播放BBC的这段剪辑吧。

And, Casey, let's play this clip from the BBC, please.

为什么人们要来白金汉宫参观一个根本不存在的市场？

Why are people coming to Buckingham Palace to see a market that doesn't exist?

最近社交媒体上流传着AI生成的圣诞市场图片。

In recent days on social media, there have been AI generated images of a Christmas market.

这些图片是假的，但这并没有阻止人们想来这里体验节日氛围。

They're fake, but that hasn't stopped people wanting to come here and experience a slice of the festive action.

能告诉我们你们为什么来这里吗？

Tell us why are you here?

哦，我们是来看圣诞市场的。

Oh, we've got for Christmas market.

我们不想听你说。

Let's not hear you.

大家都在为

Everyone's rolling for

这个AI生成的广告而来。

this AI generated advertising.

是啊。

So yeah.

我本来想享受一杯热红酒，结果现在只有保姆战争鸡肉三明治。

I was gonna enjoy a mulled wine, and now I've got my nanny wars chicken sandwiches.

我非常失望。

I am very disappointed.

我们其实觉得这事挺搞笑的。

We see the funny side of it, really.

我们打算去找其他选择。

We're gonna go find alternatives.

有很多

There are plenty

伦敦还有很多其他圣诞市场。

of other Christmas markets across London.

但如果你想去白金汉宫，那里有个礼品店。

But if you do want to go to Buckingham Palace, there is a gift shop.

首先，BBC，感谢你们所做的一切。

First of all, BBC, thank you for what you do.

我喜欢那位记者。

I love that reporter.

他听起来非常愤怒。

He sounded so angry.

高兴得为这整个情况气得吐唾沫。

Delighted spitting for mad at this whole situation.

假的。

Fake.

是啊。

Yeah.

嗯，你看。

Well, look.

这太棒了。

This is wonderful.

这让我想起了近年来同样在英国举办的著名威利·旺卡活动，当时确实有人到场，是个真实的活动。

It's, you know, it's giving me flashbacks to the famous Willy Wonka event that was also held in The UK in recent years where people did show up, and there was a real event.

但人工智能广告把它渲染得比实际情况宏大得多。

But the AI advertising had made it seem much more grand than it was.

我们现在已经进入下一阶段，人工智能开始为你们宣传完全不存在的家庭活动了。

We've now moved to the next stage, which is that AI is just now advertising completely nonexistent events for you to go to with your family.

是的。

Yes.

无论英国发生了什么，那些人都得提高识别虚假信息的能力。

Whatever's going on in The UK, those people have to up their slop detection game.

我认为这确实开启了一个有趣的可能性，那就是他们现在真的得在白金汉宫建一个假日集市，以满足那些慕名而来要参观这个根本不存在的假日市场的游客们的明显需求。

I do think this opens up a a very fun possibility, which is that they will actually now have to build a holiday market at Buckingham Palace to capture the obvious demand and the flood of tourists who are coming in to go to this nonexistent holiday market.

嗯，而且还能防止一场革命。

Well, and just to stop a revolution.

我是说，你能看出那些人对于那里什么都没有感到相当恼火。

I mean, you could tell a lot of those people were pretty, you know, angry about what was not there.

是的。

Yes.

没错。

Yes.

这将会导致

This is gonna lead

一种全新的'先装后成'模式。

to a whole new dimension of fake it till you make it.

是啊。

Yeah.

我是说，你看。

I mean, look.

这个案例对我来说非常有趣，因为一方面，当你想到所有可能制作的深度伪造内容时，很少有比'如果白金汉宫有个圣诞市场会怎样'更无害的了。

This one is so interesting to me because on one hand, when you think about all of the different deepfakes you can make, few seem more innocuous than what if there was a Christmas market at Buckingham Palace?

这听起来其实像是个可爱的小恶作剧，你可以制作出来，也许还能和几个朋友分享。

That actually sounds like a lovely piece of slop that you could make, you know, and maybe share with a few friends.

但是，因为我们生活在一个噩梦般的信息生态系统中，没人再分得清真伪，你拿这个完全无害的内容，突然间人们就涌向了白金汉宫。

But, you know, because we live in a nightmare information ecosystem where no one knows what's true and false anymore, you take this perfectly benign, you know, piece of content, all of a sudden, people are showing up in Buckingham Palace.

所以你知道，我很遗憾地说，抱歉要扫兴了。

So there are you know, I'm I'm I'm sad to say, sorry to be a buzzkill.

这种同样的模式将会导致更糟糕的后果。

There are going to be much worse outcomes from this exact dynamic.

至少这个案例还有点好笑。

This one is at least a little funny.

但你知道，如果我是像TikTok这样的平台，我可能会思考：人们不断在这里看到虚假内容然后跑去参加不存在的事件，这对我的平台是不是不太好？

But, you know, if I were a platform like a TikTok, I might be thinking about, is it maybe bad for my platform that people are constantly looking at slop here and then going to nonexistent events?

因为最终，部分愤怒情绪会反噬平台本身。

Because eventually, some of that anger is gonna come back on the platform.

他们会冻得发抖，还得吃保姆做的鸡肉，不管她说了什么。

They're gonna be cold, and they're gonna have to eat nanny's chicken, whatever she said.

我...我觉得她是在偷偷享用Nando's烤鸡。

I I think she was having a cheeky Nando's.

她真的在偷吃Nando's吗？

Was she having a cheeky Nando's?

她确实在偷吃Nando's。

She was having a cheeky Nando's.

哇哦。

Wow.

好吧，听起来她最后一切顺利。

Well, it all turned out fine for her, sounds like.

行吧。

Okay.

今年我们还有一个关于节日垃圾食品的例子，那就是节日餐食垃圾。

We have one more example of holiday slop this year, and that is holiday meal slop.

彭博社最近有一篇文章，标题是《AI生成的垃圾食谱正在席卷互联网和感恩节晚餐》。

There was an article recently in Bloomberg titled AI slop recipes are taking over the Internet and Thanksgiving dinner.

这篇文章讲的是美食博主们沮丧地发现，由于人们越来越多地转向AI生成的食谱，他们网站的流量直线下降，但同时也发现其中一些食谱根本不合常理。

This was about the food bloggers who are noting to their chagrin that traffic to their websites has fallen off a cliff since people are increasingly turning to AI generated recipes, but they are also discovering that some of these recipes don't make sense.

是啊。

Yeah.

你看，这里其实有两层故事。

So there's really, you know, two stories here.

一是人们转向AI工具获取食谱，结果得到的食谱荒谬可笑。

One is about the fact that people are turning to AI tools and getting back these recipes that are just nonsensical.

要知道这些系统并非直接从现有食谱中提取内容。

You know, the these systems are not directly pulling from recipes.

它们是根据网上看到的各种信息重组出来的，所以不可能每次都靠谱。

They're reconstituting them from a bunch of different things that they've seen online, and that's not gonna work out for you every single time.

许多人在感恩节期间艰难地发现了这一点。

A lot of folks found that out the hard way over Thanksgiving.

但还有第二个故事，那些辛勤创作真实食谱并经过测试确保可行的人类创作者们，现在报告称他们网站的访问量正断崖式下跌。

There's a second story though, which is all of the human beings out there who did the hard work of creating real recipes and then testing those recipes to make sure they work are now reporting the traffic to their websites is falling off a cliff.

我只想说这太糟糕了。

And I just wanna say this sucks.

我讨厌AI这一点。

I hate this about AI.

我希望像经营墨西哥美食博客'Muy Bueno'的伊薇特·马克斯·夏普纳克这样的人能维持生计——她曾发布照片展示人们用AI工具生成的两个完全不靠谱的达玛尔食谱。

I want people like Yvette Marquez Sharpnack who runs the Mexican food blog Muy Bueno and who posted photos of two different tamale recipes that people were making using AI tools that were just completely bogus.

我希望她能继续谋生。

Like, I want her to be able to make a living.

然而所有AI公司席卷而来，重组了整个互联网内容，却用目前更劣质的产品取而代之。

And instead, all the AI companies came along, they remixed the entire Internet, and they replaced it with what so far is worse.

所以我讨厌这样，凯文。。

So I hate that, Kevin.

是啊。

Yeah.

我觉得他们应该开始卖这些墨西哥粽。

I think they should start selling these tamales.

我知道一个假日集市他们可以去卖。

I know a holiday market where they can sell them.

我喜欢你听完我整个咆哮就为了

I love that you just waited through my whole rant so

能讲你这个蠢笑话。

you could make your stupid joke.

听着。

Listen.

不。

No.

我我同意。

I I agree.

我认为这不是个好趋势。

I think this is a bad trend.

但同时，我妻子是个很棒的厨师，最近开始用AI辅助烹饪，做出的菜品相当不错。

At the same time, my wife is a very good cook, has been using AI to do some of her own cooking recently, and it's produced pretty good stuff.

所以我得说，甲之砒霜，乙之蜜糖。

So I should say one man's slop is another man's treasure.

说说我们家的折中方案吧，因为我们今年感恩节招待了14个人。

Here's how we split the difference in my house because we did we did Thanksgiving for 14 this this holiday season.

哇。

Wow.

你有12个孩子啊。

You have 12 kids.

太厉害了。

That's amazing.

才不是。

No.

其实，如果你非要知道的话，我们的家人是第一次见面。

Actually, our families met for the first time, if you must know.

哇。

Wow.

而且它

And it

进行得很顺利。

went great.

谢谢你。

Thank you.

我们都玩得很开心。

We all had a great time.

感谢家人们为此专程来到湾区。

Thanks to the families for coming up to the Bay Area for that.

总之，凯文，故事的重点是。

Anyways, point of the story, Kevin.

我们采用了肯吉·洛佩兹·阿尔特的一个绝妙火鸡食谱，他是全球顶尖厨师之一。

What we did was we took a great turkey recipe from Kenji Lopez Alt, one of the great cooks in all the world.

没错。

Yes.

我们按照他的食谱制作了火鸡。

We made his turkey, and we used his recipe.

但当我们对操作步骤有疑问时，我们确实求助了AI聊天机器人。

But when we had questions about what we were doing, then we did turn to the AI chatbot.

比如说，嘿，

Say, hey.

我们是不是该调高温度？

Should we maybe turn the temp up?

还是该调低温度？

Should we turn the temp down?

我们用它来获取实时指导。

We used it to get guidance along the way.

算是折中了一下。

Kinda split the difference there.

看起来效果还不错。

That seemed to work out fine.

结果怎么样？

How did it turn out?

我们把火鸡烤过头了。

We overhooked the turkey.

但我不会为此责怪AI。

But I'm not gonna blame AI for that.

我要怪就怪这是我们第一次用烤箱烤18磅重的火鸡。

I'm gonna blame the fact that it was the first time we used our oven to cook an 18 pound turkey.

明白吗？

Okay?

听着。

The listen.

我的治疗师经常这么说。

My therapist says it all the time.

我们只能通过经验学习，凯瑟琳。

We can only learn through experience, Katherine.

好吧。

Okay.

下一个烂摊子。

Next slop.

这次不是节日主题的烂摊子。

This one is not a holiday piece of slop.

这是个教育音乐类的烂摊子。

This is an educational music piece of slop.

这是凯蒂·纳托普洛斯前几天在《商业内幕》上写的一篇精彩报道，关于一个叫'歌词学习'的Instagram账号，它用AI生成的歌曲内容刷屏了Instagram，这些歌曲基本上是在解释人们可能好奇的话题。

This was a great story that Katie Natopoulos wrote at Business Insider the other day about an Instagram account called learning with lyrics that had been flooding Instagram with these posts of AI generated songs that basically explain topics that people might be curious about.

比如为什么井盖是圆的？

Things like why are manhole covers round?

魔术贴是如何工作的？

How does Velcro work?

这是我们《50项标志性技术》特辑中讨论过的话题。

A topic we covered on our 50 iconic technologies episode.

为什么巨型钢卷要侧放运输而不是平放？

Why are giant steel coils transported on their sides instead of flat?

凯西，你听过这些歌吗？

Now, Casey, have you heard any of these songs?

你知道，我还没机会听，但我希望现在就能改变这个状况。

You know, I haven't had the chance, but I'm hoping I could change that right now.

好的。

Yes.

这首是讲速冷冰袋的工作原理。

This one is about how instant cold packs work.

我们来听听看。

Let's take a listen.

我很好奇速冷冰袋是如何工作的。

I'm curious how instant cold packs work.

这个账号据说是加州州立大学长滩分校一名叫卡申·汤姆林森的学生创建的，他告诉商业内幕的凯蒂·纳托普洛斯说：‘我一直是个对事物充满好奇心的人。’

Now this is this account is apparently the work of a Cal State Long Beach student named Cashion Tomlinson who told Katie Natopoulos from Business Insider, quote, I've always been someone who's curious about stuff.

嗯。

Mhmm.

这简直就是完美的大学生语录。

Which is just a perfect college student quote.

引起共鸣的王者。

Relatable king.

另外我猜如果这些视频获得足够多的浏览量，他就能赚到钱，这样的话‘兑现汤姆’确实可以兑现了。

Also, I'm guessing that if these get enough views, he could make some money, in which case cash in could in fact cash in.

现在我要说说这个。

Now here's what I'll say about this.

我对那些让人类美食博主生活更艰难的AI垃圾食谱有着相当强烈的负面反应。

I had a sort of strong negative reaction to all of the AI slop recipes that are making life harder for human food bloggers.

我其实对此没有意见。

I'm actually fine with this.

如果你在外界想创作一首关于为什么巨型钢卷要侧放运输而非平放的歌曲，你实际上并没有与人类艺术家竞争。

If you are out there and you want to make a song about why giant steel coils are transported on their sides instead of flat, you're not actually competing with a human artist.

这个领域完全属于你自己。

You actually have that lane to yourself.

如果你想用AI工具来实现，我会说，愿上帝保佑。

And if you want to use an AI tool to do it, I say, god bless.

是的。

Yes.

这可能对WikiHow构成威胁，它原本是人们寻找愚蠢问题答案的地方。

It could be dangerous for WikiHow, which was the previous place that you go to find answers to, like, stupid questions.

但WikiHow是有史以来最令人作呕的网站之一。

But WikiHow was one of the most disgusting websites ever created.

简直被广告塞得满满当当。

Just absolutely choked with ads.

一个实际上讨厌所有访客、只想收集广告的网站。

A website that actually hated all of its visitors and just wanted to collect ads.

确实。

True.

是啊。

Yeah.

其实这让我联想到最近很感兴趣的一件事，听说现在大学生都在用AI音乐生成工具来创作帮助记忆的歌曲，因为有些人就是听觉型学习者。

Actually, this this is sort of rhymes with something that I've been really interested in recently, which is that I've heard that college students are now using these AI music generation tools to, like, make songs to help them remember things because some people are just, like, auditory listeners.

对。

Yeah.

比如你想记住克雷布斯循环的步骤？

And so if you're like, how do I remember, like, the steps in the Krebs cycle?

现在你完全可以用这些AI工具生成一首泰勒·斯威夫特风格的歌——不过别真这么做，她会告你的。

Now you can just go make a Taylor Swift song about it on one of these AI gen actually, don't do that because she'll sue you.

但你可以做首普通流行歌，这样记步骤可能比死记硬背容易多了。

But you can make a generic pop song about this, and that's maybe easier for you to remember than actually listing out all the steps.

你知道吗，这很棒。

You know, that's great.

这让我想起前几天做的一件事，我和朋友们想出了莎士比亚十四行诗第一行的绝妙创意。

That actually reminds me of something I did the other day, which is that my friends and I had come up with the the a great idea for the first line in a gay Shakespeare sonnet.

你知道，外界一直有些关于莎士比亚性取向的传闻。

So, you know, there's there's some kind of rumors out there about Shakespeare's sexuality.

我们想，如果他真是同性恋，写出来的诗会是什么风格？

We said, what would he sound like if he was really, you know, gay?

于是我们想出了这句：'我能否将你比作雪地靴雪橇？'

And so we came up with the line, shall I compare thee to a boots down sleigh?

这句子简直妙极了。

Which just seemed like such a good line.

然后我就让Claude续写完这首十四行诗。

And so then I asked Claude to finish the sonnet.

你猜怎么着？

And you know what?

它做得非常出色。

It did a great job.

我甚至不想知道'boots down sleigh'是什么。

I don't even wanna know what a boots down sleigh is.

等你长大些我再告诉你。

I'll tell you when you're older.

好吧。

Okay.

好吧

Alright.

接下来是《Slop》硬分叉评论环节

Next up in the hard fork review of Slop.

这条新闻来自北卡罗来纳州，州参议员迪安德丽亚·萨尔瓦多最近发现自己出现在惠而浦公司为巴西家电产品线投放的广告中——尽管她本人从未参与过这则广告

This one comes to us from North Carolina where a state senator named Deandrea Salvador recently found herself in an ad by the Whirlpool company for a line of appliances in Brazil that she had not actually appeared in.

该公司截取了她2018年TED演讲视频片段，未经许可就植入到他们宣传圣保罗市及巴西节能家电产品的视频中

The company had lifted a section from a TED Talk video that she gave back in 2018 and put it into their video about Sao Paulo and all the energy efficiencies that were in their appliances in Brazil.