Fedimint
βAnd one of them created Fedi, Fedimint, which I hope that some of you are aware, if not, you should explore it.β
What the smart people are recommending. 8874 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
βAnd one of them created Fedi, Fedimint, which I hope that some of you are aware, if not, you should explore it.β
βthey want to use Einstein which is our you know AI platform it'll do a trillion predictive and generative transactions this week we're partnered with Sam and it's very exciting it has a trust layer thβ¦β
βIf you have a stabilizer circuit that you've been struggling to simulate or just waiting human perceivable amounts of time to simulate, you should give stim a tryβ
β# Perplexity CLI in pure shellβ
βThis is a good place to start.β
βThis tutorial demostrates semantic segmentation with a state-of-the-art model (DeepLab) on a sample video from the MIT Driving Scene Segmentation Dataset.β
βThis tutorial explores generative adversarial networks (GANs) starting with BigGAN, the state-of-the-art conditional GAN.β
βsomeone was asking about having like billing and usage by like API key and you you were talking about oh like yeah like in theory this is relatively easy to implement but we also need to think about tβ¦β
βI'm trying things like super human Ai and I need like superhuman AI for my Twitter DMS would be really usefulβ
βWe introduce CORTEX, an algorithmic framework designed for large-scale brain simulation.β
βItβs a million dollar prize to solve the ARC benchmark that he created.β
β- Install [eslint-plugin-react](https://github.com/jsx-eslint/eslint-plugin-react) and update the config:β
βWe present Agent4MR, an agent-based framework that automatically generates and refines PyPulseq sequences using a structured, physics-aware validation report.β
βWe evaluated Agent4MR on a spin-echo EPI task across three state-of-the-art LLMs...Agent4MR...automatically generates and refines PyPulseq sequencesβ
βGetting started with the functional APIβ
βSome of you may be familiar already with open fermion our electronic structure package for quantum computersβ
βThis year we also launched the fermionic quantum emulator or fqe the fermionic quantum emulator is a state vector simulatorβ
βOne by DeepMind called BYOL.β
βAnd there's another one also called DINO or Dino, also produced at FAIR.β
βA more recent version of this that we have is called V-JEPA. So it's basically the same idea as I-JEPA except it's applied to video.β
βI said we were pretty casual in how we did this you know we saw the new llama 3.1 Model come out yesterday I'm just really intrigued to hear your thoughts Ethan what did you think is it what you expecβ¦β
βThis episode is brought to you by Anvil. Their document SDK helps product teams build and launch software for documents, fast.β
βkeras.io - Keras documentationβ
βGetting started with the Sequential modelβ
βKeras FAQβ
βI want to be able to do a chat with it and then have it save the notes from it from my chat into notion um and so I'm hooking up to the notion API I got a little stuck on it but one of the things I I β¦β
βwhat we call fation circuits which can be used in machine learningβ
βYou can take this even further by connecting Claude Cowork to TradingView using webhooks. When your TradingView strategy triggers an alert, the webhook automatically notifies Claude Cowork, and it exeβ¦β
βour team at IBM has looked at what we call Hardware efficient circuits that can be used in chemistryβ
βAnd I don't know off the top of my head whether it's integrated as part of Android Studio, but I think it's like becoming more and more integrated. like if there's a terminal available, there's an optβ¦β
βIntroduction to Deep Learning with Keras, from CERN: video - slidesβ
βDevelop Your First Neural Network in Python With Keras Step-By-Stepβ
βUses [Next.js 14](https://nextjs.js.org/) with [App Router](https://nextjs.org/docs/app/building-your-application/routing) and [RSC](https://nextjs.org/docs/app/building-your-application/rendering/serβ¦β
βPractical Neural Networks with Keras: Classifying Yelp Reviewsβ
βUnderstanding Stateful LSTM Recurrent Neural Networks in Python with Kerasβ
βBuilding powerful image classification models using very little dataβ
βBuilding Autoencoders in Kerasβ
βA complete guide to using Keras as part of a TensorFlow workflowβ
βIntroduction to Keras, from University of Waterloo: video - slidesβ
βServerside rendering with [Streaming](https://nextjs.org/docs/app/building-your-application/routing/loading-ui-and-streaming) is used throughout to maximize speed and concurrencyβ
βFound is a business banking platform that lets you effortlessly track expenses manage invoices and prepare for taxes you can even set aside money for different business goals and control spending withβ¦β
βwe release a new set of benchmark environments that drastically increase exploration challenges and state counts in existing OpenSpiel games while keeping exploitability measurements analytically tracβ¦β
βInstalling Keras for deep learningβ
βTime Series Prediction with LSTM Recurrent Neural Networks in Python with Kerasβ
βand then kassis they're working on the chemistry problem they want to look at Ric structure problems and they want to come set it up so you can just put in a simple description of the problem use theiβ¦β
βyou've often talked about the benefits that will come to the medical field and when you go through the sdgs it seems like good health and medicine is an area where you feel that AI will have a lot of β¦β
βI don't have one yet nope I'll get you one I'll get you one I'd love that actually they actually just reached out to me because me talking about it so much is blowing their company up they asked me toβ¦β
βUses [Auth.js](https://authjs.dev/)'s [Next-Auth](https://next-auth.js.org/) for password authenticationβ
βWe have added explicit support for [Weights and Biases](https://www.wandb.com/) to help you monitor and visualize your training runs.β
βKeras Tutorial: Content Based Image Retrieval Using a Convolutional Denoising Autoencoderβ
βUsed [v0](https://v0.dev) to generate all initial UIs with [Tailwind](https://tailwindcss.com/), [Shadcn UI](https://ui.shadcn.com/) and [Radix UI](https://www.radix-ui.com/)β
βDeployed serverlessly on Vercel's Edge Network using: ... [Postgres](https://vercel.com/docs/storage/vercel-postgres) (Neon) for core storage and search with [`pg_trgm`](https://www.postgresql.org/docβ¦β
βDeployed serverlessly on Vercel's Edge Network using: ... [Postgres](https://vercel.com/docs/storage/vercel-postgres) (Neon) for core storage and search with [`pg_trgm`](https://www.postgresql.org/docβ¦β
βFive simple examples of the Keras Functional APIβ
βUses [Mixtral](https://mistral.ai/) `mixtral-8x7b-32kseqlen` as the LLM for generated contentβ
βUses [Anyscale](https://www.anyscale.com/)'s finetune for [Tools support](https://www.anyscale.com/blog/anyscale-endpoints-json-mode-and-function-calling-features)β
βI had an assignment where students had to cheat by creating an essay that would that would fake F uh fake me and turn it in uh and I did that even before chat gbt came out so when chat gbt came out thβ¦β
βA Bit of Deep Learning and Keras: a multipart video introduction to deep learning and kerasβ
βUses [react-highlight-words](https://bvaughn.github.io/react-highlight-words/) for search highlightsβ
β[PPR](https://vercel.com/blog/partial-prerendering-with-next-js-creating-a-new-default-rendering-model) _(experimental)_ is used to precompute the shells of pagesβ
βDeployed serverlessly on Vercel's Edge Network using: [Cron Jobs](https://vercel.com/guides/how-to-setup-cron-jobs-on-vercel) for AI generationβ
βDeployed serverlessly on Vercel's Edge Network using: ... [Serverless Functions](https://vercel.com/docs/functions/serverless-functions) (Node.js) for SSR (`iad1` / `us-east-1`)β
βDeployed serverlessly on Vercel's Edge Network using: ... [KV](https://vercel.com/docs/storage/vercel-kv) (Upstash) for rate-limiting (`iad1` / `us-east-1`)β
βKeras video tutorials playlist from Deeplizardβ
βUses [openai-zod-functions](https://www.npmjs.com/package/openai-zod-functions) for structured and runtime-validated generationβ
βThe platform we use to power these newsletters is called beehive and it's excellent first of all it was started by the the same early team who helped build morning Brew into a $75 million newsletter bβ¦β
βamong them three shows noticeable performance including DenseNet201, MobileNetV2, InceptionV3 on the teaLeafBD dataset. teaLeafBD dataset contains seven classes, six disease classes and one healthy clβ¦β
β- Install [Emscripten](https://emscripten.org/docs/getting_started/downloads.html) - On macOS, `brew install emscripten` does the trickβ
βp mlst is sponsored by sensl which is the compute platform specifically optimized for AI workloads you might have seen the interview we did last uh month with Gennady their CEO and co-founder he spokeβ¦β
βDuring development, I recommend running `watchexec -- ./build.sh` to make the process automatic (install [watchexec](https://github.com/watchexec/watchexec) with `brew install watchexec`)β
βI'm feeling pretty good right now you know but the secret to feeling good is low expectations right than anything that comes along like this the dqi algorithm is going to make you pretty happyβ
βyou can go to ycombinator.com/library and there are literally an unending amount of resources for the mechanics of how to do itβ
βIn this paper, we propose Android Coach, a novel framework that shifts the training paradigm to Single State Multiple Actions, allowing the agent to sample and utilize multiple actions for a single onβ¦β
βTry the brave search API for free for up to 2,000 queries per month at brave.com APIβ
βthe two first two application functions that will be releasing uh Q controls optimization where they're already taking their versions of their qaoa qaoa algorithm their Performance Management and puttβ¦β
βThe only requirement is having Node.js & npm installed - [install with nvm](https://github.com/nvm-sh/nvm#installing-and-updating)β
βIf you want to deploy your project under your own domain then we recommend using Netlify.β
βTHAT WAS THE AI GENERATED PODCAST THAT YOU BE SUBSCRIBE TO.β
βand so so we built this tool to to S of solve the problem of iterating on the prompting layerβ
βthe original name of this tool was was and it still is humies um like the the the Greek the Greek god the Greek god like communicates with the gods yeah yeah it's like um and so like you know like we β¦β
βWe present PEPSKit.jl, a Julia package for simulating two-dimensional quantum many-body systems with infinite projected entangled-pair states (iPEPS).β
βJust to give some numbers, Kizkit now runs uh the updates means execution on the quantum computer runs about 70 times faster than it did before.β
βNow that Anthropix Cowork and Claude Code are good enough to do everything I ever wanted, why would I ever cancel and I'm happy to pay the $200 a month.β
βGoogle is now pitching an AI agent ecosystem, but a lot of people are criticizing the fact that they are keeping this paywall behind a $100 a month paywall.β
βlet me get you a cloud subscription. So you can just help, it can help you like write emails. It can help you manage things. It can kind of help you do with your calendarβ
βPEPSKit.jl builds on the TensorKit.jl package for tensor computations and provides high-level algorithms for iPEPS simulations.β
βfeature 17,491, d=+2.93, Neuronpedia label 'cryptographic keys'β
βand Community a community notes is the best it's awesome it's incredible because everybody gets checked yes including me yeahβ
βthere've been tools like land chain they've been around for a while uh but land chain is evolving to more work on land draft which is you know increasingly agenticβ
βbut land chain is evolving to more work on land draft which is you know increasingly agenticβ
βI'd encourage you all listening this go to the the Proto blogβ
βI made a small personal investment in KU I was excited that inside Pond is invested too fantastic framework uh for building agents I think this agentic orchestration layer is making it even easier forβ¦β
βHow Rexera's AI agents drive quality control with LangGraphβ
βyou'll hear later today Q control another example that I think is a a great example of a paperβ
βuh huge advocate for Julia Lang which is a data science uh statistical language uh in addition to Python and R there's Julia and you've been very uh instrumental it sounds like in helping raise awarenβ¦β
βit's called unisim it is really kind of conveying the same idea as Sora last October on how video generation is the real world simulatorβ
βThe reason why we did neotron was for synthetic data generation it intuitively the idea that one AI would would somehow sit there and loop and generate data to learn itself it sounds sounds brittle anβ¦β
βSuperhum, the AI productivity suite that gives you superpowers everywhere you work... Learn more at superhum.com.β
βThe New York Times story: https://www.nytimes.com/2024/12/12/technology/ev-williams-twitter-medium-mozi.html?smid=nytcore-ios-share&referringSource=articleShareβ
βIntroducing OpenTelemetry support for LangSmithβ