
Dank meme @bitget Ex-Cancer Drug Scientist 🇭🇰 Opinions are my own.
Hong Kong
Joined March 2011
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這穿出去的話到底有多少人能看懂😂😂
I hate SF Halloween, what do you mean you're the sankey diagram from Aella's birthday gangbang
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Anthropic 收购的一人 AI 制药公司,创始人竟是 X 上的“大木博士”😂
匿名点评医药圈6年的 @Prof_Oak_ 终于公开真身:Cody Tranbarger。他创办的 Mithril Medicine,今年7月已被 Anthropic 收购。
这位“大木博士”的搭档是 Claude:一人协调11家外部实验室及顾问,不到18个月,就让罕见肌营养不良新药研究取得积极的小鼠实验结果。
如今他加入 Anthropic,继续探索“一人+AI”研发新药。
大木博士这次研究的,真不是宝可梦了😂
Surprise 1: Anthropic acquired a one-person biotech
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.
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Surprise 2: that person is me
Surprise 3: I’m here to tell you all about it
Yes, this is what you think it is; after 6 yrs of increasingly loose anonymity: the Professor Oak reveal post
…and yes, it has gotten so boring around here that I’m literally doxxing myself to spice up the timeline
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Ok, allow me to introduce myself. My name is Cody Tranbarger. I mostly tweet, but occasionally find time to dabble in drug dev & starting/building biotechs. My past lives span the VC, crossover, startup continuum; Prof Oak has been my way of keeping a digital foot in those worlds, despite having my physical feet planted elsewhere.
The past 18 mo, ‘elsewhere’ was Mithril Medicine, a co. I founded to develop bsAbs for LAMA2-CMD & other ECM-related genetic diseases.
Mithril was born out of hands-on building with @MikeNGladstone, @JasonPaulRhodes, @LifeSciVC, & team @atlasventure. Somehow, I made enough half-decent calls along the way (even a broken clock is right twice a day, eh?) to convince them Mithril/I warranted a small seed. While I can hardly rationalize such an outrageously cavalier bet, I’m grateful for it, & I'd partner with Atlas again in a heartbeat.
In typical AV fashion, Mithril’s primordial form was virtual, decentralized, & ultra-lean. This stage tends to be short-lived, but for Mithril, it worked surprisingly well, for surprisingly long, thanks in part to the rapid maturation of the AI tools I used liberally.
Eventually, Mithril became a bit of an experiment itself - to find the upper bound of how far it could scale as a single operator + a bunch of Claude (+ a stellar bench of part-time consultants).
In parallel, I started spending time with @nc_frey, @an1lam, & @CoefficientBio team; and promptly experienced, for the 1st time, AI at the frontier. Soon thereafter, Mithril stopped looking like an experiment, & started looking like a preview of an entirely new operating model.
From that spark came “Pipeline-in-a-Person.” The idea immediately resonated when we shared it here back in April; and it was central to the shared vision that led to Anthropic’s acquisition of Mithril, & my joining the team.
Why join Anthropic? Three reasons.
(1) For Mithril, the programs continue, with more resources & infrastructure behind them, and as much Claude as I can put to work.
(2) For me, the chance to start several more programs, & find out how many one person can actually run in parallel - an almost unprecedented luxury for a curious drug hunter.
(3) For our mission, a path to institutionalize & scale this new way of working, then put it in the hands of all of biopharma, all over the world - which, candidly, I find the most energizing.
Will AI x Bio cure diseases? Unequivocally yes, imo… but not by the route that gets the most airtime. Rather than timeline acceleration & compression, I see orchestration & parallelization as today's low-hanging fruit.
Most drug hunters see a handful of go/no-go calls in a career, & spend entirely too much of the rest trading emails (my inbox can attest).
Give them the bandwidth to run several programs at once, and the time to focus on scientific judgment, and I’m willing to bet they’ll make better calls. And at scale, better calls translate to more drugs, higher hit rates, broader patient impact, & likely, a disease or 10 or 100 cured. I couldn't be more excited to build toward that future @AnthropicAI.
Finally, a heartfelt thank you to BioTwitter/X. The end of anonymity is bittersweet, but if anyone’s earned a proper introduction, you all have.
It’s difficult to overstate how much this app has done for me: a decade of education, plenty of friends, many job opportunities, several mentors, a few investors, even a co-founder (fmr). It was the generosity of this community that inspired me to start posting 6 years ago, after just as many years lurking. I hope I’ve been able to pay it forward, in my own small way.
But, to be clear, Prof Oak isn’t going anywhere. Same beat, same themes, and now, a front-row seat to drug development at the frontier. Stay tuned for dispatches from the trenches; and remember...
Gotta Cure 'Em All
Good shit
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
上个月刚听了Peter Sellis的一期播客,里面挺坦诚的讨论了自己在Snapchat时产品商业化的失败。还聊了一些自己在Discord时的管理方式,就是在Discord,上一任X产品负责人Nikita Bier 成为了他的下属,他重点聊了如何管理一群个性很强的员工,讲的真的非常好,感觉马斯克是看了这期才想到找他的,真的感觉包括 Lenny’s 在内的几个播客对硅谷高层影响太大了,就好像国内的互联网大佬们如今还是偏爱那几个微信公众号一样😂
I’m joining the team at @X to lead Product.
I am a huge believer in @SpaceX's mission to extend human consciousness to the stars, so it’s time to make shitposting multiplanetary.
X is the best way to find out what’s happening in the world right now and talk about it. The team has been working tirelessly to make X a better place and product for the people who love it, and many have noticed the recent momentum. My goal is to help accelerate that momentum for our community, new users, and businesses globally by continuing to make this product beautiful and useful.
We are twenty years in, but it truly feels like X’s next chapter will be our greatest. I look forward to your ideas and feedback; I’m sure the replies will be measured and magnanimous.
刚好看到有大佬回覆影视飓风最新那支 Vogue 子弹时间拍摄影片,抛出了一个问题。
我觉得最重要的是:愿意花钱。
但这里说的「愿意花钱」,重点不只是钱,而是「愿意花」!花时间、花心思、花资源,把一件事做好。🥹
在这个大 AI 时代,大家都在卷谁用的 AI 更多、谁能裁更多人,把成本压到最低,再用最快的速度产出最多的 AI slop。
却好像忽略了,大家为什么愿意花时间看内容。
原因很简单:因为好看。
这其实是很基本的人性。观众有感受,也有判断力。作品有没有用心、细节有没有打磨、创作者有没有投入,很多时候都是看得出来、感受得到的。
一味铺量、只看数据,追求「量大管饱」,最后只会慢慢被淘汰。因为那可能是演算法爱看的,不是人爱看的。
@mediastorm_en 的 Tim 在访问里提过,为什么要跟 MrBeast 学,开小号拍捉迷藏?外面已经有 AI 捉迷藏,一星期能出七条以上,他们却可能三个月才做得出一条。
为什么还要做?因为好玩。
而这种好玩,是会传染的。创作者自己玩得开心,那份兴奋和投入,是能透过作品传给观众的。
至少以我目前用 AI 的体验来说,它还不太懂什么叫好玩,也不太懂什么叫有创意。它很擅长拼出一个「看起来像那回事」的东西,但让人真的觉得有意思,是另一回事。
所以,愿意花钱、花时间,在自己觉得好玩的东西上,依然是我认为目前人最有机会比 AI 做出更好产品、更好内容的原因。
和影视飓风相映成趣的,是欧阳娜娜那个被指抄袭 Met Gala 的「磁砖厕所风」布景。
在我看来,那种感觉就很像 AI 抓不到潮流本质时做出来的东西:学到了表面的元素,却没理解它为什么成立,到底哪好玩,最后只剩下一股土味⋯
本來不想說的但既然貴DAO那麼強硬說一下吧
雙語非常屌的話
在香港intern 都能拿到1萬HKD薪了
3000rmb 那洗碗工都比你強😂




































