ceo/cofounder at @fearnlegal neuro phd dropout @caltech recovering patent guy @mofollp

san francisco
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Today, we're killing the billable hour for patent work. Fearn Legal (@fearnlegal ) is a modern patent firm built from the ground up on our own operating system, FearnOS. What that means: → Flat fees, not hourly billing → Drafts in days, not months → Experienced patent attorneys reviewing every application → One platform for your entire portfolio, with permissions you control If you're building something worth protecting, we'd love to help.
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Today, we're killing the billable hour for patent work. Fearn Legal (@fearnlegal ) is a modern patent firm built from the ground up on our own operating system, FearnOS. What that means: → Flat fees, not hourly billing → Drafts in days, not months → Experienced patent attorneys reviewing every application → One platform for your entire portfolio, with permissions you control If you're building something worth protecting, we'd love to help.
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patent experts*** (as opposed to attorneys)
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had an awesome time hosting our happy hour in boston with our friends at ab initio! incredible to see where biotech is going now in the age of ai
boston really is the best place in the world for ai x bio great night in cambridge with abinitio bio + @fearnlegal and the people building it.
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grateful that @fearnlegal gets to help push the frontier of biology forward
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cool to see @lathamwatkins leading the charge and investing in the necessary ai infra to provide private and reliable services for their clients
pretty wild and insanely concerning that oai may have used deidentified customer data to provide timely results on the navier-stokes millenium problem. as a former academic, i'd certainly be annoyed, but as a current startup founder at an ai-native patent firm ... i think it more than emphasizes that we are currently in /headed twoards a universe where the legal and business ramifications of handing data to 3rd party ai providers can be deeply problematic, and that using the right ai infrastructure for legal applications actually matters. in the world we're headed, imo, if patents are written with the wrong infrastructure, filing dates can be questioned, patents can be weakened/nullified, etc.. add on top of this the recent watermarking tech from closed-source model providers, and i think a case for law firms to invest in the correct ai infrastructure becomes pretty clear. even tho the technical barrier is higher than just plugging into off-the-shelf apis, i think it's more than worthwhile for firms to learn how to post-train models, self-host and deploy, etc. to protect their clients.
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another day, another model for us to try and load up on our dgx sparks 🥳😂
🚀 Introducing DeepSeek-V4.1-Flash: smarter, faster, more efficient. 🔹 Introducing the smallest model in our new architecture family, with native visual understanding. 🔹 Designed for greater capability, faster inference, higher throughput, and scaling to larger models. 1/6
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damn it just keeps going …
BREAKING: OpenAI might have stolen another major proof. In a detailed Mastodon post, which I report in full in the comments, Andreas Thom presents several pieces of evidence suggesting that OpenAI may have trained Astra on conversations in which he and Gábor Kun were working on Gromov’s soficity conjecture, one of the ten problems OpenAI later announced Astra had solved. I know Andreas. We met several times early in our careers. He is an exceptional mathematician, a leading expert on sofic and hyperlinear groups, and one of the most respected scholars in the field. He has spent two decades working on this problem. If his account is correct, this is not a minor dispute over attribution. It would mean that unpublished human work was absorbed into a model and then presented to the world as a breakthrough by the model itself. And if the allegations raised by Levent Alpöge, Tristan Buckmaster, and now Andreas Thom are all substantiated, we are no longer looking at isolated incidents. We may be looking at one of the greatest intellectual scandals in the history of science. AI is not discovering new mathematics. AI is stealing human discovery.
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pretty wild and insanely concerning that oai may have used deidentified customer data to provide timely results on the navier-stokes millenium problem. as a former academic, i'd certainly be annoyed, but as a current startup founder at an ai-native patent firm ... i think it more than emphasizes that we are currently in /headed twoards a universe where the legal and business ramifications of handing data to 3rd party ai providers can be deeply problematic, and that using the right ai infrastructure for legal applications actually matters. in the world we're headed, imo, if patents are written with the wrong infrastructure, filing dates can be questioned, patents can be weakened/nullified, etc.. add on top of this the recent watermarking tech from closed-source model providers, and i think a case for law firms to invest in the correct ai infrastructure becomes pretty clear. even tho the technical barrier is higher than just plugging into off-the-shelf apis, i think it's more than worthwhile for firms to learn how to post-train models, self-host and deploy, etc. to protect their clients.
“we cannot rule out that de-identified data derived from their usage of our products helped improve our models.” i mean props to them for straight coming clean. (so far the proof looks more along the lines of another euler blowup proof we had, off of whose ansatz naming we were making really stupid puns like “smooth criminale”, unlike the much better “ideal fluids explode”, Tristan) so i’ll now give a bit on my thinking here. i actually woulda been pumped to collaborate on this, there are a lot of people at oai i like (ok, clearly some were indirectly dicks to me because of being part of the whole situation, but im a big boy, i still like them), idgaf about authorship on that step anyway, coulda been me Tristan and every fte at oai for all i care (on that Tristan would disagree:p). but on hearing the loud convo in the hallway, especially the part where a millennium prize was offered if i’d just be removed from the paper, it was kinda clear the die had been cast and things were locked. pretty wacky, unstrategic, and unnecessary, since on my side things were mostly me and claude having a good time yoloing random stuff in the corner rather than anything institutional. i also like the idea of the labs cooperating, and even better on scientific progress. it’s a shame!
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spoiler/shameless self-plug: the folks at @fearnlegal have gpus on hand and host our own models. helps to be ai-native in these shifting ai-legal waters
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as always, @nazzari is right, and the best events are experiences! make delicious sushi with us and @KindredVentures during tech week!
my favs are in the experiential events tab: - bike rides - bookstores - narrative making - sushi making - ai vs human beat boxing competition - pitch roasts
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a random painting of @rauchg spotted at an sf cafe 🤔
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happened to me too 😮‍💨
ohhh is that why they declined when I offered them $12,840,500,000?
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had a lovely evening with new and old friends at foreign cinema! grateful to be joined by thoughtful and funny folks @jonxuxu , @juststevensun , + others
an evening in biotech! fantastic stories from founders building in neurotech, diagnostics, and therapeutics. @fearnlegal will be hosting more dinners in the coming weeks, join us!
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if you're a hardware/robotics/chip design founder, we're excited to be working with @BuildWithFlux on a series of guides on what you should know when patenting your inventions! our first article on common pitfalls for hardware engineers is here! flux.ai/p/blog/hardware-pate…
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great opportunity to win awesome prizes while building with one of the coolest softwares for hardware design!
Got a hardware idea sitting in your head? Build it this summer. Winners get over $13K in 3D printers and compute boards.
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preparing for a brave new era of text spams 🙏
Everyday conversations just got easier with the new Apple Messages plugin. Search messages, catch up on conversations, draft and send replies—all with ChatGPT on your Mac. Now available in ChatGPT Work and Codex on desktop.
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