瓜万三丨Gordon

🍉 Physics, AI, agents, games & graphics.
🎓 Bridging the gap between humans and supreme intelligence.
🤗 My best friends are mathematicians.

[瓜万三丨Gordon @guawansan]

No, it's the end of YOUR era 🤣🍉

Your creativity peaked long before AI existed. Your best days were already behind you.

Mine weren't. I was having a great time before AI, and now I'm having an even better one.

Maybe AI didn't end human creativity. Maybe yours just ran out. 🤗

[Boze Herrington, Library Owl 😴🧙‍♀️ @SketchesbyBoze]

I think part of the despair we all feel is that the past 200 years were an incredible period of human achievement—in film, literature, music—and now we’re being told that nothing will ever be achieved again. The end of all human culture. “We have seen the best of our time.”

[瓜万三丨Gordon @guawansan]

博主说出心里话���。这个版本确实抠搜

[karminski-牙医 @karminski3]

给大家带来 DeepSeek-v4.1-Flash-1017 的实测!

说实话这是一个你绝对不能错过的模型, 因为它的能力提升非常大, 我测下来后端 Agentic Coding 和前端能力真的跟官方说的许愿式编程差不多了.

但是在我测试中也发现了一个问题, 它的 Agent 能力似乎被训练得过于抠门了 (表现就是如果做事情有代价, 倾向于不做). 不知道是不是为了适配 DSH 调整成这样的.

但是这个表现跟上一个 flash 版本可是一点也不一样了, 所以用 flash 接到自己的 Agent 框架里的同学, 一定记得单独做适配, 否则大概率会翻车. 详情请看视频.

#deepseekflash #deepseekv41flash1017 #deepseek1017 #dsh #deepseek

[瓜万三丨Gordon @guawansan]

@mediastorm_en me！

[Tim Pan @mediastorm_en]

My iPhone Duo video went viral, so I'm giving away 100 iPhones on X 😛

[瓜万三丨Gordon @guawansan]

太对了太对了

[little grey mouse 🐭 @mouse_math]

i don't believe "mathematics is the language of the universe". the universe does what it does, it doesn't need a "language". math is a human attempt to describe the universe, and as such, it is an abstraction, an approximation, and at least one step removed from reality.

[瓜万三丨Gordon @guawansan]

@Bitcoinprof0637 THANKS

[瓜万三丨Gordon @guawansan]

@BitcoinPulseX BTC

[瓜万三丨Gordon @guawansan]

不论智商多��，在我心中更丰富的输入，更精准更融合的原生多模态就是更高一等

[瓜万三丨Gordon @guawansan]

原生多模态在我心中就是最高

[Moonlight @yu90930025]

其实你一想gemini不管是argon还是flash，对文本、图像、音频、视频全都能直接理解，突然就肃然起敬了，claude虽然聪明但仍旧是文本和图像的理解……难道最终先成为agi的会是哈基米吗🫪

[瓜万三丨Gordon @guawansan]

怎么做到这么啰嗦的

[瓜万三丨Gordon @guawansan]

太长不看

[Dario Amodei @DarioAmodei]

Thank you for this, @_NathanCalvin. I appreciate and am a fan of the investigative work you��ve done on behalf of AI safety and believe your comments are coming from a constructive, honest place, and that it benefits the public to have people whose job is to scrutinize the actions of frontier AI companies. I think something would be wrong if companies of the size of Anthropic didn’t get harshly criticized basically every day; strong antibodies against corporate power are a healthy feature of a free society, and especially so when issues of the gravity of the one we’re facing are at play. I also do agree that some of the examples you cite were mistakes by Anthropic.

That said, I disagree with the thrust of your post. At the core, a good fraction of the things you criticize are consequences of Anthropic’s basic theory of change that we have held for many years. Our strategy has always been what I’ve called the “race to the top” — by showing how it’s possible to build the technology responsibly, we can raise the bar for the entire industry. The forces that drive the race to the top are hugely more effective if the company practicing them is at the frontier; that’s one lesson I’ve learned repeatedly. And looking at that strategy as a whole, I’m proud of our track record and stand by it.

I believe that if we take a list of things that Anthropic did in the past year that were pro-safety and commercially costly to us, they far outweigh the list you’ve made, while at the same time I also disagree with some of the items on your list. Here are some things Anthropic has done, in the same period you’ve cited (the last year), which were very costly to us commercially while having strong safety benefits:

1. We played a key role in SB53 (and other state laws), at a time when doing so was politically perilous to the company and AI regulation was very unpopular. We in fact argued for a stronger version of SB53 than was ultimately passed; there were a lot of stakeholders and we were not the limiting factor in the strength of the bill that was passed.

2. We have very strong biological safeguards on our models, because we’ve seen concerning results in bio uplift trials and even seen and blocked potential attempts to misuse our models for bioweapons (as seen in our threat intelligence report from a few weeks ago). This is a very serious threat that we want to have zero tolerance for. But having very low false negatives means having significant false positives (despite months of effort on our part to improve the classifiers), enough so that biologists joke about how restrictive our classifiers are, and competitors sometimes sell against us by touting their more permissive bio capabilities. This has been very painful to us in an area where we care a lot about supporting an ecosystem of Claude users (biomedical science; and it is particularly frustrating to me as a biologist), but it’s the right thing to do and we intend to keep doing it.

3. Similarly, we first had Mythos-class models in February but didn’t make them generally available until June (when we had stronger cyber safeguards in place). We only offered them to a limited set of partners in order to focus on cyberdefense. It would have been much more economically rational to simply release the model to everyone. We likely sacrificed a significant chunk of a several-month model lead. But because of this, many companies secured their cyber infrastructure before the deluge of widely available cyber-capable models. Of course there are ways it could have gone better or been run better, but this was what we were aiming to do.

4. I advocated forcefully and publicly, in my essay Policy on the AI Exponential in June of this year, for the government to have the power to block model releases. Back then this was still outside or maybe on the edge of the Overton window, though I understand the window has moved since then. We were attacked intensely for this.

5. I don’t want to re-ignite conflict, but the events of February 2026 are a strong example. It is clear that our public stance could have seriously damaged the company’s future.

6. We’ve continued to advocate for export controls on chips and chipmaking equipment to China, because we think it allows democracies to negotiate from a position of strength on AI safety agreements. We’ve done this despite problems it’s created for us with industry partners who hold very different views and on whom we are very dependent.

7. As far as I’m aware we were the first, and still only, frontier company to restrict the sale of AI services to PRC-controlled companies, including those operating through third countries (otherwise a major loophole). We’ve therefore forfeited significant short-term business to prevent fueling AI platforms and applications that would help the CCP’s military and intelligence services. We are also cracking down on distillation; generally, distillation is not a major threat to us commercially, but like chip exports it has concerning national security and safety implications, so we expend significant energy and company resources to address it.

8. As you mentioned, we’ve put out a lot of reports, announcements, long model cards, public advocacy, etc, all trying to inform the public about the risks of AI. These involve a level of detail and effort that would be implausible for a purely profit-maximizing company.

9. Just this week, we announced we were putting 5% (and possibly more over time) of the company into a public benefit fund.

All of these decisions came with very substantial costs to us. To be fair, those that involved holding back or restricting access to frontier capabilities also had a broader cost — for example, the public might otherwise have benefitted from faster progress in biology, so I am not saying that our decisions were without tradeoffs — but they were not driven by profit-seeking.

For each decision, you can come up with ulterior motives that could have driven us — I think it is a general truth that any decision, on any topic, can always be portrayed as a nefarious scheme. But most of those end up being pretty farfetched or don’t fully make sense if you actually examine them closely. For example, it is deeply implausible that it would be a shrewd business move to block a large swath of research biology in order to do the work ourselves and compete with our customers; we expect the benefit to the ecosystem to greatly exceed the work Anthropic does itself, and for the two to complement each other. It is not in Anthropic’s interest to be perceived as unfriendly to biologists. Our Life Sciences Verification Program, which gives vetted biology professionals access to our models, also refutes this idea.

Of course, a different set of people will see this and make a different criticism: that Anthropic shouldn't be making decisions about who gets access to what in the first place. I agree, in the sense that ideally the government would be making these decisions, and that’s why we advocate for regulation. But for now we are forced to make them, and enabling bioterrorism isn’t a better option.

I think that even if I conceded every item in your list, I would happily hold up mine next to it; I don’t think it’s a close call. That is of course partly subjective and different things are important to different people. Maybe one way you could object is that several of the items above relate to AI misuse and not loss-of-control; if you think the latter is much more important than the former, that might change your calculus. But this is not Anthropic’s view — we view both as serious issues. You can also disagree with our decisions, as many have, but they are consistent.

But I also disagree with at least some of your list. Several items don’t represent a deviation from Anthropic’s strategy or values at all, once we postulate the “race to the top” strategy that requires being a frontier AI company. Your items 1-4 are all simply examples of what it means to compete at the frontier, and we stand by them, both in the sense that they are transparently ordinary things to do as part of that strategy, and that we stand by the strategy as a whole.

To be fair, there are important questions worth confronting (and that we are confronting) about what to do when the AI-driven acceleration gets fast enough that it is hard for safety to keep up. We are nearing that point and that’s what’s driving some of our thinking about “pacing.” But 1-4 are actions taken before that point and should be perfectly expected based on Anthropic’s strategy as a company. Of course it is possible to disagree with that strategy, but that’s a more fundamental disagreement that you could have had any time over the last few years.

I agree we could have handled your items 7, 8, and 9 better. All fall into the category of “rhetoric or policy communication that wasn’t carefully written or resulting from fast-changing circumstances not propagating from one team to another fast enough.” This kind of thing happens a lot in large organizations (Anthropic is over 5,000 people), and doesn’t even necessarily represent a failure or mistake of any single person. I am of course the CEO, and I take responsibility. The volume of communication from Anthropic is enormous and if these are the worst examples, I think we’re frankly doing pretty well, though I will continue to work hard to make sure we do even better.

Your 5th item (the change to our RSP) is the most substantive item, and people can debate this, but I think that the old, more rigid RSP created a lot of situations where we were technically required to do something that required a lot of effort but in retrospect wasn’t very important for safety, as well as not covering some of the most important things. Our current RSP’s focus on transparency brought things like risk reports and roadmaps, and its emphasis on independent external review laid the groundwork for even more intensive embedded evaluation, all of which I think have been valuable in driving a race to the top. In the original announcement in September 2023, we described the RSP as an “early iteration that we [would] build on” and said that “rapid iteration…will almost certainly be necessary.” I understand that changing plans is always a move that creates justifiable scrutiny — I just don’t think we ever represented that we wouldn’t do so.

Relating to your 6th item (having an FCF in addition to our RSP), I know our intent is to meet the letter and spirit of our regulatory obligations (via our FCF) while also remaining able to experiment with more novel approaches to risk management that go beyond what the law currently requires (via our RSP). I promise to look into it further, as it’s a complex issue and it is possible we are not weighing the considerations in the right way.

Overall, although Anthropic has made plenty of mistakes as an organization — including some of the items on your list — I feel that we have repeatedly taken serious and substantive actions counter to our bottom line and that there is a significant negativity bias distorting assessments like the one you are making above. We’ll always try to do better but, again, I am extremely proud of our track record and stand by it. I will have more to say soon about how we are going to further live our values in this moment of rapid change.

[瓜万三丨Gordon @guawansan]

我去，这图认真的？！DeepSeek 这次真有点不讲武德了🤣🍉

DeepSWE v1.1 最新公开成绩：

DeepSeek V4.1 Flash-1017：77.0%
GPT-6.1 Sol：75.2%
Claude Opus 5.5：74.2%

一个 Flash 小版本更新，编程跑分直接压过两家旗舰，成本直接最低！

斩杀线来了，OA顶得住吗？

[瓜万三丨Gordon @guawansan]

DeepSeek 又偷偷更新模型了🤣🍉

这次 Flash 直接把 DeepSWE 刷到了 77.0%，超过 Opus 5 的 74.0%。

不过 Terminal-Bench 4.0 上：
Opus 5.5：64.8%
GPT-6.1 Sol：58.2%
DeepSeek：42.3%

距离前沿模型尚有差距。

DeepSeek 现在拿一个 Flash 跟人家的旗舰模型同台比赛。性价比无敌了！

[DeepSeek @deepseek_ai]

🚀 DeepSeek-V4.1-Flash-1017 is here!

Stronger benchmark performance, faster task completion, and shorter outputs than the previous version—a Pareto improvement in performance and cost. Now live on our website, app, and API.

🛠️ Optimized for @DeepSeekHarness, Tencent CodeBuddy, WorkBuddy, and more. Upgrade to DeepSeek Harness v0.2.1-rc.1 or later for the best experience with the new model.

1/4

[瓜万三丨Gordon @guawansan]

@Gatelessgate00 Glad we cleared that up! 🍉 And yes, I completely agree. Human creativity isn't going anywhere. Thanks for taking the time to read my original post!

[瓜万三丨Gordon @guawansan]

No, it's the end of YOUR era 🤣🍉

Your creativity peaked long before AI existed. Your best days were already behind you.

Mine weren't. I was having a great time before AI, and now I'm having an even better one.

Maybe AI didn't end human creativity. Maybe yours just ran out. 🤗

[Boze Herrington, Library Owl 😴🧙‍♀️ @SketchesbyBoze]

I think part of the despair we all feel is that the past 200 years were an incredible period of human achievement—in film, literature, music—and now we’re being told that nothing will ever be achieved again. The end of all human culture. “We have seen the best of our time.”

[瓜万三丨Gordon @guawansan]

@Gatelessgate00 Hahaha, that explains a lot! 🍉 No worries at all. I was wondering how we ended up talking about two completely different things. Have a great day!

[瓜万三丨Gordon @guawansan]

@Gatelessgate00 Fair enough! Everyone has their own preferences and ways of creating. 🍉

I'm curious, though. When you say that future is already the past and present, what specifically are you referring to? What's happening around you that makes you see it that way?

[瓜万三丨Gordon @guawansan]

@LFTH_Alex I never told Boze to use AI. I challenged the claim that AI is ending human creativity. 🍉

AI helps people create things they couldn't before. That's a counterexample, not a handicap.

I'll say it again: Boze's creative limits aren't humanity's limits

What are you disputing? 🤗

[瓜万三丨Gordon @guawansan]

AIにできることはやらない。AIにできないことだけをやる。🤣🍉

つまり、AIの能力を反転させて、自分の人生の指針にしているわけだ。

AIから自由になったつもりで、実はAIとの相関は最大級。符号が逆なだけ。

AIに逆らうことを人生の指針にしても、結局はAIに人生を決めてもらっているだけだ。

[松原隆彦（不明なエラー［4000］でアップデートできません） @tmcosmos_org]

AIが将来もできないだろうと思うことを探しては、自分の存在価値を保とうとするのはやめたい。この数年で明らかになったように、自己保全の願望に歪められた未来予測は当てにならず、AIが進歩するたびに自分の足場を失う。むしろAIが人間のあらゆる能力を超えると想定し、それを使っていかに楽しく生きられるかを考えた方がよほどいい。自分がやりたいことでまだAIにはできないことがあれば、その機会を最大限に生かせばいい。想定に反して生きている間にAIにはできないことが残っていたとしても、それは得るものが増えるだけの話である。つまり、AIにできないことを探す人生から、（AIが何でもできる世界で）自分のやりたいことを探す人生、への転換である。AIにできることと自分がやる意味のあることはそもそもが別の集合である

[瓜万三丨Gordon @guawansan]

You're not a mathematician. You've just done some high school math competitions. 🤣🍉

If a mathematician made this claim, I'd be much harsher.

But since you're merely praising people you think are smarter than you, I'll go a little easier on you. 🤗

[Bram Cohen🌱 @bramcohen]

To all the people making the 'Ha ha mathematicians are obsolete' hot takes: You're wrong, and mathematicians are still smarter than you

[瓜万三丨Gordon @guawansan]

I'm happy to say my code is the best. 🍉

Whether I wrote it myself or directed AI to write it, it does what I designed it to do. I understand it. I love its structure. I'm proud of it.

But claiming handwritten code is inherently superior to AI-generated code?

Prove it.

[瓜万三丨Gordon @guawansan]

AI-written code may actually be better. 🍉

AI has access to far broader programming knowledge than any individual.

Enjoy writing code by hand? Great. But don't confuse enjoyment with superiority.

In quality, depth, or breadth, what exactly makes handwritten code better?

[瓜万三丨Gordon @guawansan]

AI-written code may actually be better. 🍉

AI has access to far broader programming knowledge than any individual.

Enjoy writing code by hand? Great. But don't confuse enjoyment with superiority.

In quality, depth, or breadth, what exactly makes handwritten code better?