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RT @janusch_patas: First Corporate Sponsor: Core11 GmbH Supports LichtFeld Studio! Today marks an exciting milestone for LichtFeld Studio:…
Founder and CEO of https://t.co/5MjtfpwEU3 | Your guide to radiance fields | Host of the podcast @ViewDependent | FTP: 279 | discord: https://t.co/lrl64WGvlD
RT @levelsio: 🇸🇬 Singapore too is now compromised by degrowthers The AC in most buildings is now set to a sweaty 25°C/77°F by government r…
AI Optimist. Empiricist, not 'rationalist'. Anti world government.
PS: I caught and fixed a very slight encoding error,* so now anyone who collects gets two tokens -- both the corrected and the original version 🇺🇸🇺🇲. * puzzle was probably solvable even with this issue, but didn't want to take any chances 😉
Market Design/Entrepreneurship Professor @HarvardHBS & Faculty Affiliate @Harvard Economics; Research @a16zcrypto; Editor @restatjournal; Econ @Quora; … | #QED
Herumb worked with me for years and it’s simply extremely hard to find someone with Herumb’s level of depth *and* breadth in ML or someone as reliable or with the same sense of initiative. Herumb has been a core contributor of both ColBERT and DSPy for years now and is an expert in training retrieval models. He’s also built so much in open source (including most recently DSRs, DSPy in Rust). But he's also done so many other things that I know little about over the past 2 years (e.g., contributing to training the Marin language models at Stanford CRFM is just one of many, I think?) that I’m pretty sure Herumb's days are at least 48 hours long. Anyway, as a public service announcement to folks that follow me, try to hire @krypticmouse!
Asst professor @MIT EECS & CSAIL (@nlp_mit). Author of https://t.co/VgyLxl0oa1 and https://t.co/ZZaSzaRaZ7 (@DSPyOSS). Prev: CS PhD @StanfordNLP. Research @Databricks.
I just learned that the one-of-a-kind Herumb Shandilya @krypticmouse, who is soon to graduate from Stanford with Master’s in CS, is on the job market for training infra, inference infra, or other ML engineering roles. Here’s a PSA to y’all: you should hire him.
Herumb worked with me for years and it’s simply extremely hard to find someone with Herumb’s level of depth *and* breadth in ML or someone as reliable or with the same sense of initiative. Herumb has been a core contributor of both ColBERT and DSPy for years now and is an expert in training retrieval models. He’s also built so much in open source (including most recently DSRs, DSPy in Rust). But he's also done so many other things that I know little about over the past 2 years (e.g., contributing to training the Marin language models at Stanford CRFM is just one of many, I think?) that I’m pretty sure Herumb's days are at least 48 hours long. Anyway, as a public service announcement to folks that follow me, try to hire @krypticmouse!
适合广泛传播的内容： - 看起来好牛B但跑起来一坨屎的Github Repo - 人人都知道的正确的废话 - 套在名人上的不是他说的但有点儿情绪价值的访谈图 - 信息大合集，甭管三七二十一的细节对不对，先收藏 - 该擦不擦的情绪美女 - 一个没有正确答案但总能引发吵架的问题 - 明星人物或者公司的八卦绯闻，越离谱越好 - 很久前火过的东西当个新鲜玩意又发出来了 - 极其离谱的极端观点，讨骂式传播 - 薅羊毛占便宜信息，不能错过 - 具有强烈反差甚至毁三观的东西，比如一个高材生教你如何约会人妻 - 内部人士揭秘，仿佛自己了解到了水下信息 - 开怀大笑的搞怪媒体资源 - 情绪拉满的玄学文案，比如看到转发在接下来一年里发发发 - 仿佛看完我就智商+100的睿智虚构故事，文末还得领取一套格物心法 - 一句抱怨的废话，却感同身受的吐槽 一句话总结： 够傻的内容往往都可以单点大量传播 深度的东西从来都是金字塔式扩散
Believing is seeing