kyle morris

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kyle morris

kyle morris

@kylejohnmorris

i want to make AI smart and ensure this is a good thing @demi_network @AGIHouseSF @siliconmusical prev: cto @bananadev_ ai @Cruise // @harvard @CMU_robotics

San Francisco, CA Katılım Temmuz 2017
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kyle morris
kyle morris@kylejohnmorris·
@eshear yah math has cool DLC many never have the joy to find as imo it is taught so rigidly & unquestioned in most youth e.g., "why is -log likelyhood a log & not another func additive over multiplication?", leads one to find it can only feasibly be log for so many fun reasons
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Emmett Shear
Emmett Shear@eshear·
Did you know that there’s a way to complete the rational numbers by allowing infinite digits to the left, in addition to allowing infinite digits to the right? And the math ppl didn’t tell us??? It’s just like when I found out about how physicists have been hiding imaginary time.
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andrew chen
andrew chen@andrewchen·
who’s run a lot of hackathons? Am curious to pick their brain on what happens to the format given vibe coding etc Who should I talk to…?
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kyle morris
kyle morris@kylejohnmorris·
my heuristic is cold water swimming is disproportionately good for longevity as all the ppl at this cold swim are old and jacked
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adel 🌟
adel 🌟@adelwu_·
the king @swyx and the immaculate vibes at the 2025 dev writers retreat 🫶🌴
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kyle morris
kyle morris@kylejohnmorris·
publishing theoretical results is increasingly impressive to me at neurips you have to be right + first to have a novel paper but with theory you can’t lean on “i have wetlab or sim others don’t so i got results you can’t” instead it’s like “ya i thought hard and here u go”
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kyle morris
kyle morris@kylejohnmorris·
this was caught on the cat food monitor in my room while traveling looks like ai slop by Sora. ironically our cats name is Sora life imitates art imitates life
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kyle morris
kyle morris@kylejohnmorris·
incredibly exciting and well deserved @louisnandre @AGIHouseSF making moves !
Louis Andre@louisnandre

Today, we're announcing @episteme, a new type of R&D company that recruits exceptional scientists to pursue high-impact ideas. Science isn’t bottlenecked by the availability of talent, but by places where they can do their best work. Scientific progress has driven human flourishing: extending lifespans, lifting billions from poverty, and expanding our understanding of the universe. But history is littered with transformational ideas that were overlooked in their time. That problem is still acute today: too much promising talent remains uncultivated, and remarkable ideas die in the lab or are filtered out by misaligned incentives. Today, scientists face suboptimal paths for translating their research into impact: academia is famously risk-averse and incentivizes publications and winning grants vs. translational research. Industry is too often focused on short‑term incentives. And startups lack the substantial capital, expertise, and complex infrastructure needed to deliver long-term scientific progress. On top of that, recent funding cuts in the US mean the overall supply of ideas is decreasing. Put together, the global scientific production system is operating at a fraction of its capacity. How Episteme operates is different: we identify great scientists who can meaningfully benefit humanity, but who aren’t supported efficiently within traditional institutions today. Researcher by researcher, we work with them to determine the bespoke resources, operational support, and environmental conditions to execute on their research. We bring them together in-house, and provide those resources to ensure that their breakthroughs are deployed for real-world impact. We’ve already assembled an amazing team of operators, ranging from the Gates Foundation, DeepMind, ARPAs, DoE – just to name a few – and researchers who are pursuing important problems across physics, biology, computing, and energy. Our team has spoken to hundreds of researchers across disciplines and geographies to understand the limitations they’re facing and what can be done better, and designed Episteme for them. We’re backed by individuals like @sama, Masayoshi Son, and other long-term partners who share our mission of enabling ambitious science for tangible human impact. About me: I started working as a researcher 9 years ago, on problems ranging from AI-driven drug discovery to developing brain-machine interfaces. It was that experience that led me to realize that so many scientists with great potential to change the world don’t have access to opportunities equal to their capacities. @sama and I believe that much better science should happen for humanity, and that a new engine is needed to support that. We decided to cofound Episteme together, and I am incredibly grateful for Sam’s unwavering support as a thought partner and founding investor. Our conviction is that by supporting the right people with the right incentives, we're set to generate breakthrough discoveries to benefit humanity. We cannot rely on the course of history to shape scientific progress; we need to proactively shape the system by supporting the most talented people with the right resources and incentives.

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Danijar Hafner
Danijar Hafner@danijarh·
Today is my last day at @GoogleDeepMind. After almost exactly 10 years at Google including 12 internships and the last 2 1/2 years full time, it really feels like a chapter coming to an end. I'm grateful for all the experiences and friends I've made at Google and DeepMind. I still remember my first Brain internship in Mountain View in 2016 with James Davidson and @V_Vanhoucke, at a time where nobody had a working PPO implementation and we were wrangling with TensorFlow graphs 😄 The moment @lukaszkaiser showed us the first plausible Wikipedia page generated by a "big" LSTM. @ashVaswani full of excitement explaining the compute efficiency of a new architecture that later became the Transformer and asking me to try it for RL (I did not :P) The excitement to work on Deep RL and generative models at DeepMind during my master's in London, which turned into PlaNet with @countzerozzz and @itfische. Figuring out Karl Friston's free energy principle with Nicolas Heess and @AdaptiveAgents (which took a few more years to get right). Spending a good part of my PhD at the Brain Team in Toronto working on multiple generations of Dreamer with @mo_norouzi, various collaborations, and celebrating the Turing Award with @geoffreyhinton. And over the last few years working from Berkeley/SF on world models with @wilson1yan with significant resources thanks to @countzerozzz and @koraykv, and seeing video models & world models accomplish results that seemed completely out of reach just a few years ago. With mixed feelings but also excitement, it's time to start a new chapter!
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kyle morris
kyle morris@kylejohnmorris·
Thank you for your support and glad you had a good time!!
Ray Zhu🐨@rayzhudev

I saw Silicon Valley The Musical yesterday. Here’s my review: For an amateur musical, it exceeded my expectations. The script was excellent, perfectly encapsulating many Silicon Valley tropes. Those familiar with the culture would be laughing the whole way through. @belindmo as Quinn delivered a strong vocal performance, making you forget you’re not on Broadway. @kylejohnmorris’s performance of Dave DuCharme was both convincing and comical. Threading the needle just right on the level of outlandishness. @scottfits played the VC Gordon Greene and displayed impressive falsetto in the upper register. I can’t forget the star of the show, the robot Ava, controlled by @amydeng_ . What an extraordinary feat to be controlling a robot from backstage, and to do it near flawlessly. The score was a little repetitive, and the plot gets muddled towards the end, but everything else more than makes up for it. Overall a terrific show and well worth seeing for those into the Silicon Valley tech scene if they ever run another production. An incredible effort by all who participated in it. This was the most enjoyable musical I’ve seen in SF. (the only other one I saw was Aladdin)

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kyle morris
kyle morris@kylejohnmorris·
We are LIVE with @siliconmusical across all @FITNESSSF locations! Thank you for backing local arts in the city! Fitness SF is a required membership if you want to survive in the SF dating market. Get your tickets to Silicon Valley the Musical for Oct 16–19 while we still have some tickets left!
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