Anthropic 推出 Claude Science 及全新模型

Anthropic 正在推出 Claude Science。

Anthropic is launching Claude Science.

这将是给研究人员用的工作平台。

This is gonna be a workbench for researchers.

Base四十四也要发布他们自己的AI模型了。

Base forty four is launching their very own AI model.

他们想保护每年一亿美元的持续收入，因为他们的 vibe coding 业务，而 X 刚刚上线了托管的 MCP 服务器。

They're trying to protect their a $100,000,000 in annual recurring revenue for their vibe coding business, and X has just launched a hosted MCP server.

所以他们会向 Claude、Cursor、Grok Build 开放 API，如果你了解 X 和他们 API 的背景，这可是个不小的动静。

So it's gonna open its API to Claude, Cursor, Grok build, which if you know anything about the the backstory of X and their API, this is quite, quite a big deal.

Anthropic 即将发布 Claude Sonnet 5。

Anthropic is shipping Claude Sonnet five.

它的定价是每百万输入令牌两美元，而谷歌也在推出 Nano Banana 2 Lite 和 Gemini OmniFlash 2 开发者版。

It's gonna be $2 per million input tokens, and Google is shipping Nano Banana two Lite and Gemini OmniFlash two developers.

如今，几乎所有顶级 AI 模型都在密集发布新版本。

So tons coming out from basically every top AI model today.

我们一会儿会详细聊聊这些内容。

We're gonna get into all of that.

希望我这边别太吵。

Hopefully, it's not gonna be too noisy from my end.

我现在在北卡罗来纳，外面又热又晒，正抱着个宝宝呢。

It is a hot, sunny day in North Carolina where I'm at right now, and I am currently bouncing a baby on my lap.

我老婆昨晚没怎么睡，我得让她多休息会儿，所以抱着孩子。

My wife did not sleep a lot last night, so trying to let her get some rest, holding the baby.

你可能以前在播客里听过我说过这话。

You probably heard me say this before on the podcast.

如果你听到背景里有点咕噜咕噜的声音，那就是宝宝在那儿呢。

But anyways, if you can hear a little, gurgling and gooing in the background, that would be what it's from.

如果你有重复性的AI任务，比如写通讯、发邮件、生成图片之类的，欢迎去试试我的创业项目 aibox.ai。

If there's any repetitive AI tasks that you do, like writing newsletters or emails or generating graphics or anything you do on a repeated basis, I would love for you to go check out my startup aibox.ai.

我们有个无代码AI应用构建器，你只要说清楚你想做什么、你的工作流程是什么，它就会自动把不同的AI模型串联起来，帮你搭建一个能反复使用的自动化流程。

We have a no code AI app builder where you basically just explain what you want it to do, whatever your workflow is, and it automatically links together different AI models and creates a workflow for you that you can use on a repeated basis.

这帮我省了不少时间，因为AI确实能大幅提升效率。

This saves me a lot of time because AI definitely is a huge unlock for being more productive.

但如果你每天只是重复用它做同样的事，不如直接把它自动化了。

But at the same time, if you're just using it to do the same thing over and over every single day, you should probably just automate that.

如果你想试试，可以去 aibox.ai/builder 看看。

So if you wanna give it a try, go to a ibox.ai/builder.

我会在描述里放个链接，方便你去体验我们的构建平台。

I'll leave a link in the description to go check out the builder platform that we have.

我们提供了80多种AI模型，可以自由组合，帮你打造强大的自动化流程，节省大量时间。

We have over 80 different AI models that you can link together and build some really incredible automations to hopefully save you a ton of time.

起步月费只要8.99美元。

And it's only $8.99 a month to get started.

我会在描述里放个链接。

I'll leave a link in the description.

先从Anthropic开始。

Kicking it off with Anthropic.

他们刚刚推出了 Claude Science。

They have just launched Claude Science.

这将是一个工作平台。

So this is gonna be a workbench.

它连接了60个不同的科学数据库，还整合了一套专为基因组学、蛋白质结构和化学设计的预置研究工具，所有这些都将运行在 Claude Opus 4.8 上。

It's connecting 60 different scientific databases and a bunch of prebuilt research tools for genomics, protein structures, chemistry, and all of this is gonna run on Claude Opus 4.8.

抱歉，Fable 五号。

So sorry, Fable five.

还没到那一步。

Not there yet.

等它上线后，我们可能也会把它整合进来。

I'm sure when that comes out, we may get that rolled in as well.

还会赠送三万美元的免费额度。

And it's gonna come with 30,000 in free credits.

他们打算把这些资源提供给50个学术项目，并且相信，比起单纯堆算力，优化工作流程更能吸引研究人员使用 Anthropic 的服务。

They're gonna be giving this way to 50 different academic projects, and they're making this bet that basically workflow is going to beat raw capacity for getting these researchers to be using anthropic.

所以并没有推出新模型或访问限制，Claude Science 用的还是同一个 Claude Opus 4.8。

So there's no new model or gating, but Claude Science uses the same Claude Opus 4.8.

基本上人人都能用，也没有针对生物学做专门的微调或特殊权重。

It's basically available to everybody, and there is no biology fine tuning or specialized weights.

他们已经找了几个人测试，效果相当不错。

They've been testing this with a few different people and have had some impressive wins.

加州大学旧金山分校的脑肿瘤中心就在用它来压缩胶质瘤种系分析的工作流程。

They had UCSF Brain Tumor Center that was using it to compress glioma germline analysis workflows.

还有艾伦研究所的杰罗姆·拉科克，他在搭建一个计算型文献综述流程；诺和诺德也是他们的首批合作方之一。

We have the Allen Institute's Jerome Lacock, who is building a computational review pipeline, and we have Novo Nordisk, who is one of their launch partners.

它的实际作用是能快速启动多智能体架构，让科研人员创建并行的子助手，分别做序列分析、结构预测和事实核查。

What it's actually doing is that it's able to spin up these multi agent architectures, and they're gonna let all of these scientific researchers create parallel sub assistance, and they're gonna be doing sequence analysis, they're gonna be doing structural prediction, they're gonna be doing fact checking.

这之所以这么强大，是因为在做这些的同时，还能完全保留可重复性。

And the reason why this is so powerful is because all of that can be happening while they're also keeping their full reproducibility.

代码、运行环境、对话历史，所有这些都能完整复现。

So the code, the environments, the message history, all of that they're gonna be able to reproduce.

科学家们需要不少定制工具，Anthropic 已经把这些都内置进去了。

So there's a bunch of basically custom tools that scientists need, and Anthropic has built that in.

他们正在发放大量资助，想让大家看到，做科研的话，Anthropic 确实是最佳选择。

They're giving away a bunch of grants hoping to, show people that this is the you know, Anthropic is the best place if you're doing science.

明白了。

Okay.

Base44 要推出自己的 AI 模型了，说起来我之前都不知道，Base44 其实是 Wix 旗下的。

Base forty four is launching their very own AI model, and the reason why is by the way, I didn't realize, but Base forty four is owned by Wix.

那是个特别棒的编程平台。

It's an incredible vibe coding platform.

我对它印象非常深。

I've been really impressed with it.

我平时不用它，因为我大部分事情都直接用 Claude Code 了。

It's not the one that I primarily use because I'm just using Claude code for mostly everything I do.

但如果你刚入门，我觉得 Level 和 Base44 这两个是我最推荐的。

But if you're getting started, I think anywhere between Level and Base 44, those are my two favorite.

Anywhere 也是一个非常棒的平台。

Anywhere is also a great platform.

不过话说回来，Base 44 年收入高达一亿美元，刚刚推出了他们全新的模型——Base One。

But in any case, Base 44 is a $100,000,000 in annual recurring revenue, and they just launched their brand new model called base one.

这可是他们自家的大型语言模型。

So this is their very own LLM.

这其实和 Cursor 的做法很像，不过这个模型是用数千万次真实用户交互数据训练出来的。

This is actually very similar to what Cursor is doing, by the way, but this LLM is trained on tens of millions of real user interactions.

有意思的是，因为他们有数千万用户在用他们来开发工具，所以能收集到所有这些对话内容——我不确定是不是每个用户都包含在内，还是需要主动同意。

So what's interesting is because they are able to, you know, have tens of millions of users using them to create their tools, they can take all of those conversations, and I'm I'm not sure if it's every single user or if they had people opt in.

估计是默认包含在用户协议里的，他们把用户所有的反馈都收集起来，用来训练模型，精准优化人们在搭建网站、应用和软件时的真实需求。

It's probably every single user and it's just part of their terms of service, but they're taking everything that those people have been saying, and they're training their model to basically fine tune what people need when they're building websites, apps, and software.

我觉得最厉害的是，他们清楚知道，当有人在开发软件时，每次提出需求、模型完成之后，用户通常会紧接着说什么，比如‘哎呀，不对’。

Now what's interesting to me about this is they know exactly, like, when someone's building software and, you know, theoretically Anthropic and and Codex, like, for OpenAI should have this as well, but they know every time that someone asks it to build something and it does it and then they give a follow-up, they're like, oh, shoot.

每次有人要求做某样东西，比如 X Y Z，接下来他们几乎都会问这五个问题。

Every time someone asks for this, you know, for x y z, they typically ask these next five things.

这意味着，当他们第一次提出需求时，可能自己也不太清楚到底想要什么，或者通常后面会遇到bug、陷阱之类的问题。

And that could either mean that when they first ask, they don't know exactly what they want, or there's traditionally a bug that follows or there's a gotcha or something like that.

但总的来说，他们能不断优化这个模型，提前预判用户真正想要什么、打算往哪个方向走，甚至在用户还没开口之前就猜到了。

But essentially, they can fine tune this model that they have to know exactly what they want to what people are basically the direction they're going before they even go there.

对吧？

Right?

比如有人刚说‘我想做个健身应用’，他们立马就能推测出用户最可能想要的那五个功能。

They're like, hey, I want a fitness app and, like, oh, these are probably the five features they want.

所以他们要么直接问清楚，要么直接开始搭建，要么先把架构设计好，随时可以投入开发。

So either they'll ask them right away or they'll just start building stuff in, or they'll set up the architecture in a way that is ready to go.

这些经过优化的模型还能带来不少其他优势。

Now there's a couple cool things that they can do with these fine tuned models.

其中一个就是效率大幅提升，从而降低用户的使用成本，这当然非常棒。

One of them being that they can make them much more efficient, and so they're able to cut the cost for their users, which of course is fantastic.

另外，如果有人在和他们的模型对话时突然说：‘等等，我想到一点……’

But also, if someone's talking to their model and they're like, oh, you know what?

我们的基础模型一号，比发给Opus 4.8强多了。

Our, you know, our base one model would be a lot better than sending it to Opus four point eight.

突然间，他们就能把用户迁移到更高效的模型上，帮用户省钱，还能保住自己的数据。

All of a sudden, they're able to switch people over to the more efficient model, save the user money, and they're also keeping exclusive data.

对吧？

Right?

因为他们不把数据发给OpenAI、Gemini或者Anthropic，自然也就没法用这些数据去训练了。

Because if they're not sending data over to, OpenAI or Gemini or Anthropic, all of a sudden, they're not able to train with all of that data.

我们也在Cursor身上看到了同样的趋势。

So we're also seeing, we're seeing the same thing coming out of Cursor.

很多做代码交互的公司都在截取代码和用户的对话，搞清楚用户真正想要什么，然后用这些数据训练自己的微调模型。

So a bunch of different players that are interacting with code are basically intercepting the code and and the conversations people are having and knowing what people want, and they're being able to train their own fine tuned models with it.

所以基础模型一号，他们明确说这是为了替代Anthropic的Opus，专门针对应用生成场景设计的，目标是让用户对延迟、成本和推理速度有完全的掌控。

So base one, basically, they're saying this is designed to replace Anthropix Opus for app generation workloads, and it's gonna try to give them a really direct control over latency, cost, and inference speed.

而且再也不用依赖任何第三方API了。

And they're not gonna have to rely on any third party APIs.

另外顺便说一下，这对他们来说是一笔不小的开支，因为你订阅了Base 44，付的token费用里，很大一部分直接流到了Anthropic手里。

And also, by the way, you know, this is a big cost for them because when you get a subscription to base 44, you pay them for tokens, but a huge chunk of your token bill just goes straight to Anthropic.

对吧？

Right?

他们其实把大头都让出去了，但如果能自己在服务器上跑，而且能找到更省钱的方式，反倒是能赚更多钱。

It's like they're they're giving a huge chunk, but if they can do it directly on their servers and if they have, you know, a cost efficient way to do that, they're actually able to make more money.

我之前提过很多次的Lovable，是他们在瑞典的主要竞争对手，但他们到现在还在用外部的大模型。

So Lovable that I've mentioned many times is, of course, their rival in Sweden, and they still use external LLMs.

他们的年收入大约有5000亿美元，规模大概是我们的五倍。

They have about $500,000,000,000 in AR, so they're about five times bigger.

不过他们背后有很强的支持，因为Wix在他们才六个月、只有八个人的时候，就花了八千万美元把他们收购了。

But they do have some really solid backing because Wix acquired them for about $80,000,000 when they were only six months old with eight employees.

现在他们的母公司正在裁掉大约20%的员工。

Their parent company is now cutting about 20% of their workforce.

所以Wix在收缩，但Base 44却在加速前进。

So, you know, Wix is cutting down, but evidently, base forty four is accelerating.

我的预测是，如果Base44真能做成这件事，它最终可能会比Wix还要大得多，这简直让人想不到，毕竟Wix当初只花了八千万美元就收购了它。

And my prediction here is if that if base forty four really pulls this off, base forty four will actually end up being much bigger than Wix, which is pretty wild considering they bought it for $80,000,000.

目前它的年经常性收入已经超过了十亿美元。

It's already doing more than a $100,000,000 in annual recurring revenue.

所以他们短短时间里就远远超过了收购价。

So they were just, you know, blasted past even the acquisition price.

这对Wix来说真是笔超值的买卖。

This was an amazing deal for Wix.

好了。

Alright.

接下来我们要聊的是，X刚刚推出了一个托管的MCP服务器。

The next thing we ought to talk about is that X has just launched a hosted MCP server.

如果你了解X，就知道当初埃隆买下Twitter后，立马关闭了API，因为我觉得OpenAI和其他一些公司当时就像打开了水龙头一样，源源不断地用API数据训练模型。

And if you know X, like, they when they when Elon originally bought Twitter, he immediately shut down the API because I think OpenAI and a bunch of other people just had, like, a full fire hose blast of all of the API data, and they were using it for training.

埃隆后来意识到这些数据有多珍贵，就把它关了。

Elon shut that down realizing how valuable it was.

之后，Reddit和其他平台也做了类似的动作。

We saw similar moves from Reddit and other players afterwards.

但现在X推出了这个新的MCP，他们允许Claude、Cursor、Grok这些工具接入X AI的API，直接访问你自己的账户。

But now that X is kind of launching this new MCP, they're gonna let tools like Claude, Cursor, Grok, all tap into x AI's API and specifically your own account.

只要你有自己的账户或相应权限，就可以让MCP访问你的数据。

So if you have your own account or your own permissions, you can let the you can let the MCP tap into that.

我敢说，这能用来做大量市场情绪分析，好处多得很。

I'm sure there's a ton of, like, market sentiment analysis, you know, great things that you can do with this.

比如对冲基金这类大机构，他们早就用API分析球迷对世界杯的情绪，来预测热狗销量之类的，做各种疯狂的金融计算。

There is an API, so big firms, you know, like hedge funds that are trying to, you know, measure people's sentiment analysis on the FIFA World Cup to determine how many hot dogs are gonna be sold and blah blah blah blah blah, and do all their, like, crazy, you know, hedge fund calculations.

这类分析，他们现在已经有现成的API了。

Those types of things, they already have an API.

他们肯定会用上这个新工具。

They're they're gonna be using this.

但这个新功能主要面向普通用户。

This is more for your average user.

MCP的意思是，你可以把X AI的所有数据直接接入你正在使用的Claude，普通用户也能用。

An MCP means that you can get all of x a i's data into your Claude that you're actively using, so for regular people.

我个人特别期待，真想把MCP用在我们这儿聊AI新闻的时候。

I personally am excited and would love to connect the MCP for when I talk about AI news here.

我希望能每准备一个话题，自动给我整理出相关的热门推文和高赞评论，做个简报。

I would love to get, maybe, like, some sort of brief on every story I'm gonna cover with the top tweets and the top comments on those tweets.

要是我的MCP能自动去抓取这些内容，那就太有用了。

So if my MCP could go and pull that, that'd be really useful.

以前想让Claude去X上找优质推文，简直难到离谱。

Traditionally, trying to get, like, Claude to go and scrape x for good tweets is notoriously hard.

我自己试过好多次，最后都只能手动翻X。

I've had a a hard time doing that, and I basically just have to go manually scroll x myself.

要是能省点时间，直接把最好的内容挑出来，那简直太棒了。

It would be fantastic if I could save some time and just, you know, surface the best things.

说白了，有意思的是，如果你能连上X这样的平台做MCP——我知道我有点跑题了，但你可以想象，Reddit或者其他社交平台也一样，你都能自定义自己的算法。Threads其实也在试着让用户这么做，比如让你连续四周多看某个话题的内容，但那只是临时的，不是永久的。

Basically, I mean, what's kinda cool is if you have an MCP into something like X, and I know I'm getting off the rails here, but you could imagine the same thing with Reddit or any other social platform, you can fine tune your own algorithm, which I think threads, and Mark Zuckerberg's trying to let people kinda do that with threads, but it's like, in threads anyways, it's like, show more posts about this specific topic for the next, like, four weeks, and then, anyways, it's it's not like a permanent thing.

这听起来真不错。

So this would be cool.

我甚至都想重新设计自己的X动态了，因为我虽然经常互动，但每天刷到的政治内容实在太多，根本不是我想看的。

I would honestly almost remake my own x feed because I probably get I I'm sure I interact with it, but I feel like I get, like, way too much politics in my thread, that I really wanna interact with in any given day.

这可能是我自己的问题，但如果能用这个MCP主动设置一下，比如直接说：‘我只想看AI新闻’，那就太棒了。

So and it's probably my own fault, but it would be really cool to just intentionally be able to use this MCP on X and say, look, I just want AI news.

我就想关注那500家AI领域的公司，只看它们发布的动态，让信息流更聚焦、更清爽。

I just want, you know, news from these, you know, 500 companies that I'm trying to follow in AI and get more of a more of a streamlined stream of content around that.

对我个人来说，这真的很理想。

That'd be cool for me.

明白了。

Okay.

X AI当然不是第一家推出MCP的大公司。

X ai obviously isn't the, you know, the first big company to do an MCP.

感觉现在几乎人人都在用MCP，连我自己的公司Aibox.ai也在用。

It feels like basically everyone has an MCP, even my own company aibox.ai.

我们也有一个MCP，传统上用户会访问我们的网站。

We have an MCP, so, you you know, traditionally, would go to our site.

网站上有80多种AI模型，涵盖音频、文本和视频，用户可以在我们的体验区和它们聊天，每月付9美元，就能使用所有模型。

There's 80 different AI models, audio, text, video, and people would go chat with them in our playground and, you know, you pay, like, $9 a month and you get access to every model.

但很多人说，你看啊。

But a lot of people are like, look.

我所有的操作其实都发生在Claude或者ChatGPT里面。

All of my workload is is all of my work is happening inside of Claude or inside of ChatGPT.

所以我们做了一个MCP，现在你可以直接通过它访问我们所有的工具。

So we created an MCP, and now you can get access to all of our different tools.

比如Claude现在能生成图片和音频了，这些功能以前是没有的。

You can get know, like Claude can have image generation and audio generation, which it didn't have before.

所以MCP确实很有价值，XAI并不是第一个这么做的。

So MCPs are very valuable, and, XAI is not the first one.

GitHub、Slack、Stripe、Salesforce，这些公司都已推出官方的MCP接口。

GitHub, Slack, Stripe, Salesforce, all of them have official MCP endpoints.

如果你用x来做这件事，API的收费还是每发布一篇帖子收0.015美元，带链接的帖子大约20美分。

The API pricing, if you're gonna do that with x, is still gonna be 0.015 per published post and about 20¢ per post with links.

这项收费标准是今年早些时候定下的。

That was set earlier this year.

他们明确说，这是为了大规模遏制垃圾信息。

They basically said they're trying to curb spam at scale.

但托管服务器现在展现了一些新功能。

But the hosted server is showing some new capabilities.

支持搜索功能。

There's search.

可以获取帖子内容。

There's post retrieval.

能查询用户信息。

There's user lookup.

还能做趋势分析。

There's trend analysis.

所有这些功能大大减少了开发者接入 x 平台的集成时间。

All of that is cutting down a lot of integration time for people trying to work with x.

所以我特别期待去实际测试一下。

So I'm gonna be excited to to test that out.

Anthropic 推出了 Claude Sonnet 5。

Anthropic is shipping Claude Sonnet five.

输入令牌的定价是每百万个 2 美元，比 Opus 4.8 还低，而且在智能编码任务上的表现达到了 63.2%。

It's gonna be $2 per million input tokens, which is undercutting Opus 4.8, and it is about 63.2% on agentic coding.

所以它的性能跟 Opus 4.8 只差大概六个百分点。

So it's within about six points of Opus 4.8.

你可以想象一下，接下来要推出的 Fable 5 会是什么样子。

You can only imagine, right, the next model, which is, Fable five.

我的意思是，他们其实已经发布了，但新版本肯定会强很多。

I mean, they already dropped it, but it's gonna be significantly better.

挺有意思的是，他们原本的主打模型被撤回了，现在只剩下那些性能稍弱、但更高效的模型。

It's interesting because the you know, their headline model got pulled back, so now they just have all of their, like, all of their their worse models or, you know, their more efficient models, their less powerful models.

他们现在开始追上自己的主力模型了，因为连升级主力模型都做不到，只能做到最好，这让我觉得特别有意思。

They're starting to catch up with their main model because they can't even, you know, update their main model to be its best, which is really interesting to me.

从周二开始，这个模型基本上会成为所有免费和专业用户的默认选择。

So this model is gonna basically become the default for all free and pro users starting on Tuesday.

我觉得这说明，具备代理能力的AI现在在各个层级都变得至关重要。

I think that is just showing that agent capable AI is now really important across basically every tier.

这不会再是高端用户专属的功能了。

This isn't gonna be a just a premium feature.

我觉得这属于促销定价，输入每百万token两美元，输出每百万token十美元，这个价格会持续到8月31日。

And I do think that it's promotional pricing, the $2 per the inputs and the $10 for the outputs, that is gonna be running through August 31.

Anthropic经常这么干。

And we see this from Anthropic a lot.

比如我现在登录账户，他们还写着，到七月初，可以享受两倍积分使用额度。

Like, I think if I go on my account right now, they're like, till the you know, at the beginning of July, it's two x credit usage.

说实话，我现在每周都尽量把使用量拉满，因为觉得这优惠实在太划算了，但真不知道这种好事儿能撑多久。

And, I mean, basically, at this point, I'm just trying to get my max out my usage every single week because I feel like you're getting a really great deal, and I don't know how long that will last.

但价格会从两美元涨到三美元，不过还是比OPUS 4.8、GPT 5.5和Gemini 3.1 Pro便宜。

But that's going to increase from $2 to $3, which is still cheaper than OPUS 4.8 and GPT 5.5 and Gemini 3.1 Pro.

所以还是更便宜，没错。

So it's still cheaper, but it's yeah.

到八月三十一号之前，还是两美元的价。

Until August 31, we got the $2 price.

之后就会涨到三美元。

It's gonna then go up to $3.

说不定那时候又会有新模型出来，未来怎么样还真说不准。

And, you know, maybe we'll have new models coming out then, so who knows what happens in the future.

但在知识型任务的测试中，Sonnet 5比Opus 4.8略胜一筹，这简直不可思议。

But on knowledge work benchmarks, Sonnet five is slightly better than Opus 4.8, which is pretty crazy.

对吧？

Right?

Sonnet本来是比Opus低一档的模型，但因为Opus没法升级，结果反而这个低配版比Opus 4.8还强。

Like, Sonnet is the, you know, the the lower quality model than Opus, but because they can't upgrade Opus, now the worse version is actually better than Opus 4.8.

我觉得这其实说明了，每项任务的成本效率现在变得特别关键。

I think that's just kinda showing though the cost per task efficiency is now really important.

它的重要性甚至超过了纯粹的推理能力排名。

It's more than more important than maybe the raw reasoning rank.

如果你愿意花大价钱，完全可以去用 Claude Code，开启他们的高级编码模式之类的。

And if you wanna spend a ton of money, can go use something like Claude Code and turn on, like, you know, their super code mode or whatever.

它能提供更充分的推理，但会消耗多得多的令牌。

It gives you, you know, waste more reasoning, but it uses a lot more tokens.

很多早期测试者说，在一些多步骤流程中，中间卡顿的情况变少了。

A lot of early testers say that there are fewer mid task stalls in some of the multi step workflows.

Zapier 的那个两步 Salesforce 自动化任务，现在终于能完整执行了；以前好多模型试过，做到一半就放弃了。

Zapier's two part Salesforce automation completed where I think a bunch of previous models, they were trying to do that two part Salesforce automation, and it was getting about halfway through and it abandoned it.

所以总的来说，这效率明显高多了。

So, anyways, it seems like this is gonna be much more efficient.

说到新模型，他们可不是唯一的。

Speaking of new models, they're not the only one.

谷歌正在向开发者推出 Nano Banana 2 Lite 和 Gemini Omni Flash。

Google is shipping Nano Banana two Lite and also Gemini Omni Flash to developers.

这是一个文生图模型。

It is a text to image model.

生成一张一千像素的图片大约需要四秒，费用是 0.034 美分。

It's gonna generate in about four seconds, and it costs 0.034¢ for a one k image.

Gemini Omni Flash 是个视频生成模型，每秒输出大约 10 美分，说实话，这价格不算贵。

Gemini OmniFlash, which is a video generation model, is about is about 10¢ per second of output, which honestly is not bad.

我知道，这类工具的开销可能高得离谱。

I have I you know, these things can be insanely expensive.

我们之前甚至因为成本太高，让 OpenAI 放弃了 Sora 项目。

We literally had OpenAI that canceled Sora and dis or is discontinuing it because it was just so expensive.

我们其实已经具备了生成 AI 视频的能力。

So, like, we have the capability to do AI video.

只是价格实在太高了。

It's just really expensive.

所以 Gemini 能把视频生成成本降到每秒10美分，这已经不错了。

So the fact that Gemini is getting that down to 10¢ per second of output, not bad.

如果你要做一个一小时的视频，那费用确实会很高。

You know, if you were doing a a one hour long video, it's gonna be pretty expensive.

但这些模型生成的视频大多只有五秒左右，也就是每条50美分，我知道听起来还挺贵的。

But most of the videos that these are generating are, like, five seconds long, so that's 50¢ a video, which I know actually sounds kind of expensive.

如果是十秒的视频，那就是一美元。

If it's ten second video, it's a dollar.

如果是百秒的视频，那就是十美元，但这就是现在的价格了。

If it's a, you know, a hundred second video, it's $10, but, you know, that's that's the cost.

明白了。

Okay.

Nano Banana Two Lite 将取代原来的 Nano Banana。

Nano Banana two Lite is gonna be replacing the original Nano Banana.

它会成为推荐的版本。

It's gonna be the is the recommended tier.

而且他们说，如果你之前用的提示词在原版 Nano Banana 上效果很好，那在 Nano Banana 2 Lite 上照样能用，这点很棒。

And I think they're saying that it's like, if you have a prompt that worked really well for the original Nano Banana, it's gonna still work for Nano Banana two Lite, which is great.

最烦的就是模型一改，之前好用的提示词全都不灵了。

I hate it when the model changes and the prompts are let's kind of get off.

他们提到会保持角色的一致性。

They said there's gonna be character consistency.

他们在速度和成本优化上下了很大功夫。

They have really aggressive speed cost optimization that they've applied.

这还挺有意思的。

So it's kind of interesting.

对吧？

Right?

这叫 Nano Banana 2 Light。

It's two it's Nano Banana 2Light.

这本来应该是又快又轻的版本，但他们想让它在速度和成本大幅降低的同时，效果还能跟原版 Nano Banana 差不多。

Like, this is supposed to be like the super fast, super light version, and it's they're trying to get this thing to still be comparable to Nano Banana, but way faster and way cheaper.

每次对图像模型做这种优化，我都特别兴奋。

And I'm really excited when we do these kind of optimizations on the image models.

他们还推出了 OmniFlash，性能对标 v3.1，价格也很有竞争力，同时还加入了对话式编辑和多模态输入混合功能，支持文字、图片和视频混合处理。

They also have OmniFlash, which is gonna match v o three one, fast pricing, while it's also adding conversational editing, multimodal input mixing, so they could do text, image, and video.

它还能实现屏幕上的图形与文字操作的同步，我觉得这太厉害了。

And it's gonna do text to action synchronization for any sort of graphics that you have on the screen, which I think is phenomenal.

对视频创作者来说，这真的非常酷。

So for videographers, this is actually really cool.

Nano Banana 2 Lite 将会内置在谷歌现有的九款产品中，比如 AI Studio。

Nano Banana two Lite is gonna ship across nine of the different products that Google already has, so it's gonna be inside of AI Studio.

它也会集成到 Gemini API 里。

It's gonna be inside of the Gemini API.

还会用在搜索的 AI 模式中。

It's gonna be inside of AI mode in search.

当你在谷歌上搜索的时候，就会用到它。

So when you're on Google, just searching.

它还会出现在 Gemini 应用、Notebook LM、Google 相册、Stitch、Google Flow，还有 Google 广告里。

It's gonna be on the Gemini app, Notebook LM, Google Photos, Stitch, Google Flow, and then it's also inside of Google Ads.

对吧？

Right?

他们总得靠这些广告赚钱吧。

They gotta gotta make money from the ads off of all of this.

我很期待 Google 会推出什么新东西。

I'm excited to see what Google comes out with.

今天这些新模型真让人期待。

I'm excited for all the new models today.

谢谢大家收听这个播客。

Guys, thank you so much for tuning in to the podcast.

如果你想了解 AI Box 的 MCP，记得去 aibox.ai/mcp 看看。

Make sure if you wanna check out the MCP for AI Box that you go check out aibox.ai/mcp.

你可以直接在 Claude、Gemini 或 ChatGPT 里用上全部 80 个顶尖 AI 模型，不管你平时最常用哪个。

Basically, you're gonna get all 80 of the top AI models right inside of Claude or Gemini or ChatGPT, whatever you work with the most.

你可以在里面调用所有其他模型，非常方便。

You can get all of the other models inside of there so you can actually call them.

真的特别实用。

Really, really useful.

和往常一样，如果你想每天收到我在这档播客里提到的最新动态，直接去 aichatdaily.com 订阅吧。

And as always, if you wanna get all of these new stories that I talk about on the podcast straight into your inbox every day, go to aichatdaily.com.

这是我和这档播客配套的网站。

That's my website that goes along with this podcast.

页面顶部有个明显的订阅按钮，点一下就行。

There's a big subscribe button you can hit in the top corner.

点完之后填个邮箱，我会把所有这些资讯和更深入的分析文章发给你。

And if you hit that, you can put in your email, and I'll send you all of these stories and, more in-depth articles where it breaks down all of the information.

这些内容你都能看到。

You can see all of that as well.

非常感谢你收听这档播客。

Thank you so much for tuning to the podcast, guys.

祝你今天过得特别棒，我们下一期再见。

I hope you have a fantastic day, and I'll catch you in the next episode.