Porting a cross-platform GUI application to Rust – Mozilla Hacks - the Web developer blog
Firefox’s crash reporter is hopefully not something that most users experience often. However, it is still a very important component of Firefox, as it is integral in providing insight into the most visible bugs: those which crash the main process. These bugs offer the worst user experience (since the entire application must close), so fixing them is a very high priority. Other types of crashes, s
20,000 Startup Ideas
20,000 Startup Ideas (This data comes from the O*NET web site.) This gives a kind of map of the territory of current economically important human activities. Therefore it represents a good source of startup ideas. It maybe is even the listing of approximately all startup ideas. Visit individuals in homes or attend group meetings to provide information on agency services, requirements, or procedure
Self-Organising Textures
This article is part of the Differentiable Self-organizing Systems Thread, an experimental format collecting invited short articles delving into differentiable self-organizing systems, interspersed with critical commentary from several experts in adjacent fields. Self-classifying MNIST Digits Adversarial Reprogramming of Neural Cellular Automata Neural Cellular Automata (NCA We use NCA to refer to
How HashiCorp Works
This article contains internal linksLearn about the How HashiCorp Works project and why there are links to internal HashiCorp materials in this article. Our writing roots date back to the company’s earliest days, when the entire team was just the co-founders, Mitchell Hashimoto and Armon Dadgar, working out of Armon’s living room. Back then, it was pretty easy to keep the company aligned. But Mitc
A little while ago I was doing some research into the state-of-the-art for approximating subsurface scattering effects in real-time (mainly for skin rendering), and I had taken a bunch of loose notes to help me keep all of the details straight. I thought it might be useful to turn those notes into a full blog post, in case anyone else out there needs an overview of what’s commonly used to shade sk
This article is one of two Distill publications about graph neural networks. Take a look at A Gentle Introduction to Graph Neural Networks for a companion view on many things graph and neural network related. Many systems and interactions - social networks, molecules, organizations, citations, physical models, transactions - can be represented quite naturally as graphs. How can we reason about and
はじめに シュレディンガー先生、予防線を張る NTTICCでの展示について Chaotic Satisfying Things ライフゲーム・(スキ|キライ) お前は神から愛されなかった/イコンを捨てたSCP財団 Reminiscence Syndrome（連想症候群） 時空間の離散化・格子法の限界 人工生命とAI 共進化する二つの分野 LLMとオープンエンドな進化 「非人間中心主義」 野良猫的人工生命 「何の役に立つの？」 媒介者としての人工生命 環世界の拡張としての人工生命 単純なセンサではないことの意味 おわりに はじめに ICC キッズ・プログラム 2024 キミ( ).コード( ).セカイ( )の展示が無事終わりました。避雷は「うまれる，かかわる，またうまれる，」という作品を展示していました。デカいプロジェクションマッピングに、センサを取り付けたような作品です。大きな展示を実寸で
The Principles of Deep Learning Theory An Effective Theory Approach to Understanding Neural Networks Daniel A. Roberts and Sho Yaida based on research in collaboration with Boris Hanin drob@mit.edu, shoyaida@fb.com ii Contents Preface vii 0 Initialization 1 0.1 An Effective Theory Approach . . . . . . . . . . . . . . . . . . . . . . . . 2 0.2 The Theoretical Minimum . . . . . . . . . . . . . . . .
We propose a framework for classifying the capabilities and behavior of Artificial General Intelligence (AGI) models and their precursors. This framework introduces levels of AGI performance, generality, and autonomy. It is our hope that this framework will be useful in an analogous way to the levels of autonomous driving, by providing a common language to compare models, assess risks, and measure
Designing a New Rust Class at Stanford: Safety in Systems Programming
Writing quality software is hard. Sometimes, software breaks in entertaining ways. However, when software runs everything from personal assistants like Alexa and Google Home to banking to elections, some bugs can be much more severe. This past quarter, Armin Namavari and I tried teaching a class about how to write software that sucks just a little less. We focused on common problems in computer sy
Top 41 AI Art Generators: Make AI Art, Paintings & More (2021 GUIDE) — AIArtists.org
41 Creative Tools to Generate AI ArtWondering how to make AI art? Scroll down for the best tools to generate AI art. Staff Picks to Generate AI Art:Runway ML – An easy, code-free tool that makes it simple to experiment with machine learning models in creative ways. Our overall staff pick. Nature of Code – This interactive book teaches you how to code generative art; the last chapter is an exceptio
不定期にキャンペーンを行うECサイトがあるのですが、その告知は当該商品の販売ページでしか確認できません。 そのため「今日は キャンペーンやってないかな～」と、毎日そのECサイトを訪れていたのですが、当然ながら かなり面倒・・・ なにか効率的な方法はないかとアレコレ調べてみた結果、Chromeのアドオン「Distill Web Monitor」にたどり着きました。 こちらのツールを使うと、指定したWEBページが更新された際に、その旨をメールで受け取ることが可能になります。 この記事では「Distill Web Monitor」の導入方法と、使い方を紹介します。
Biological systems perceive the world by simultaneously processing high-dimensional inputs from modalities as diverse as vision, audition, touch, proprioception, etc. The perception models used in deep learning on the other hand are designed for individual modalities, often relying on domain-specific assumptions such as the local grid structures exploited by virtually all existing vision models. T
Research Paper Introduction in IR Reading 2022 Fall
IR Reading 2022 Fall: https://sigir.jp/post/2022-11-12-irreading_2022fall/ Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, and Xing Xie. 2022. Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. In Proceedings of the 45th International ACM SIGIR Conference on Research and Deve
One of the major goals for the Rust Async Working Group is to allow async fn everywhere fn is allowed, especially in traits. In this post, I'd like to distill some of the proposed designs and show how async functions in traits could be implemented. We'll look at one possible way this could work, although I'd like to emphasize that this is not the only way, and many details of the design that we'll
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Real World Examples of GPT-3 Plain Language Root Cause Summaries | Zebrium
We're thrilled to announce that Zebrium has been acquired by ScienceLogic! Learn More A few weeks ago, Larry our CTO, wrote about a new beta feature leveraging the GPT-3 language model - Using GPT-3 for plain language incident root cause from logs. To recap – Zebrium’s unsupervised ML identifies the root cause of incidents and generates concise reports (typically between 5-20 log events) identifyi
Introduction To Low Latency Programming: Minimize Branching And Jumping
This post originally appears as a chapter in my new book: ‘Introduction To Low Latency Programming’, a short and approachable entry into the subject. Available now for purchase on Amazon. This chapter will discuss how branching and jumping in our code affects our runtime performance and how we can avoid them in our effort to reduce the latency of our programs. Branching refers to process execution
1Tel Aviv University, 2Goldsmiths University, 3Reichman University *Denotes equal contribution SIGGRAPH 2023 - Honorable Mention Award A few examples of our Word-As-Image illustrations in various fonts and for different textual concept. The semantically adjusted letters are created completely automatically using our method, and can then be used for further creative design as we illustrate here. A
Vital Web Performance
I hate slow websites. They are annoying to use and frustrating to work on. But what does it mean to be “slow”? It used to be waiting for document load. Then waiting for page ready. But with so many asynchronous patterns in use today, how do we even define what “slow” is? The W3C has been working on this with the new Event Timing and Element Timing API, and has defined some new Web Vital metrics to
Exploring Bayesian Optimization
Breaking Bayesian Optimization into small, sizeable chunks. Authors Affiliations Apoorv Agnihotri Indian Insitute of Technology Gandhinagar Nipun Batra Indian Insitute of Technology Gandhinagar Many modern machine learning algorithms have a large number of hyperparameters. To effectively use these algorithms, we need to pick good hyperparameter values. In this article, we talk about Bayesian Optim
Monitor webpage or feed for changes. Get SMS and email alerts on change detection. Distill runs in your browser to check monitored pages for changes. Get instant alerts as soon as a change is detected. Featured highlights: * An inbox style Watchlist to manage monitors. * Easy content selection from any webpage. * Highlighted changes. * Change history. * Supported actions: - Email - SMS - Sound - P
Holiday Book Recommendations for Software Engineers, Engineering Managers and Product Managers
Books perfect as reading or gifts during the end-of-year break for those working in tech. More than 100 book recommendations. I’ve always found books are an underrated way to learn something new. Great books contain years of hard-earned experiences compressed into what you can read in hours. However, you do need to give hours-long attention to them. This allows books to convey ideas that shorter-f
12 Sep How to write about web performance Posted September 12, 2021 by Nolan Lawson in performance, Web. Tagged: performance. 3 Comments I’ve been writing about performance for a long time. I like to think I’ve gotten pretty good at it, but sometimes I look back on my older blog posts and cringe at the mistakes I made. This post is an attempt to distill some of what I’ve learned over the years to
Defining cgroups and how they help with resource management and performance tuning in this first article kicking off a four-part series covering cgroups and resource management. So you've heard of this thing called cgroups, and you are interested in finding out more. Perhaps you caught mention of it while listening to a talk about containerization. Maybe you were looking into Linux performance tun
An observer said, “We were, like, Holy shit, there are two different people independently faking data on the same paper.”Illustration by Bryce Wymer The half-bearded behavioral economist Dan Ariely tends to preface discussions of his work—which has inquired into the mechanisms of pain, manipulation, and lies—with a reminder that he comes by both his eccentric facial hair and his academic interests
Xinyang Geng$^*$, Arnav Gudibande$^*$, Hao Liu$^*$, Eric Wallace$^*$, Pieter Abbeel$^\diamond$, Sergey Levine$^\diamond$ and Dawn Song$^\diamond$ Apr 3, 2023 In this post, we introduce Koala, a chatbot trained by fine-tuning Meta’s LLaMA on dialogue data gathered from the web. We describe the dataset curation and training process of our model, and also present the results of a user study that comp
In this post I’ll attempt the fun stunt of designing a system that could serve the full production load of Twitter with most of the features intact on a single (very powerful) machine. I’ll start by showing off a Rust prototype of the core tweet distribution data structure handling 35x full load by fitting the hot set in RAM and parallelizing with atomics, and then do math around how modern high-p
How can we develop transformative tools for thought? Part of the origin myth of modern computing is the story of a golden age in the 1960s and 1970s. In this story, visionary pioneers pursued a dream in which computers enabled powerful tools for thought, that is, tools to augment human intelligence E.g., Douglas Engelbart, Augmenting Human Intellect: A Conceptual Framework (1962).. One of those pi
111 A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT YIHAN CAO∗, Lehigh University & Carnegie Mellon University, USA SIYU LI, Lehigh University, USA YIXIN LIU, Lehigh University, USA ZHILING YAN, Lehigh University, USA YUTONG DAI, Lehigh University, USA PHILIP S. YU, University of Illinois at Chicago, USA LICHAO SUN, Lehigh University, USA Recen
We propose Algorithm Distillation (AD), a method for distilling reinforcement learning (RL) algorithms into neural networks by modeling their training histories with a causal sequence model. Algorithm Distillation treats learning to reinforcement learn as an across-episode sequential prediction problem. A dataset of learning histories is generated by a source RL algorithm, and then a causal transf
Product Metrics That Matter
The power of metrics entered Product Management to change it forever. Before product metrics, we were shooting blindfolded. We just understood the result of our shots at the end of the game or even the championship. Feedback and learning took too long. We were relying on business metrics. Consider revenue, for example. That’s a lagging success indicator. It might take months for a decrease in user
Llama 3.2
The open source AI model you can fine-tune, distill and deploy anywhere. Our latest models are available in 8B, 70B, and 405B variants.
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How a self-attention layer can learn convolutional filters? Self-attention had a great impact on text processing and became the de-facto building block for NLUNatural Language Understanding. But this success is not restricted to text (or 1D sequences)—transformer-based architectures can beat state of the art ResNets on vision tasks. In an attempt to explain this achievement, our work shows that se
Full Stack Development with Next.js and Supabase – The Complete Guide
Supabase is an open source Firebase alternative that lets you create a real-time backend in less than two minutes. Supabase has continued to gain hype and adoption with developers in my network over the past few months. And a lot of the people I've talked to about it prefer the fact that it leverages a SQL-style database, and they like that it's open source, too. When you create a project Supabase
IntroductionOne of the greatest sources of joy in my life are my close friends. People who bring excitement and novelty into my life. Who expose me to new experiences, and ways of seeing the world. Who help me learn, point out my blind spots, and correct me when I am wrong. Who I can lean on when I need support, and who lean on me in turn. Friends who help me grow more into the kind of person I wa
"CSS4" Update | CSS-Tricks
DigitalOcean provides cloud products for every stage of your journey. Get started with $200 in free credit! Since I first chimed in on the CSS4¹ thing, there’s been tons of more discussion on it. I’m going to round up my favorite thoughts from others here. There is an overwhelming amount of talk about this, so I’m going to distill it here down as far as I can, hopefully making it easier to follow.
In this roundtable, which grew out of a conference on maritime strategy in the Indo-Pacific region sponsored jointly by the United States Naval War College, the Japan Maritime Self-Defense Forces Maritime Command and Staff College, and the Sasakawa Peace Foundation, our contributors examine growing Japanese defense capabilities and aspirations. The authors examine the impact of a more robust Japan
7th Workshop on Visualization for AI Explainability October 13, 2024 at IEEE VIS in St. Pete Beach, Florida The role of visualization in artificial intelligence (AI) gained significant attention in recent years. With the growing complexity of AI models, the critical need for understanding their inner-workings has increased. Visualization is potentially a powerful technique to fill such a critical
NLP Research Highlights
Welcome to the first quarterly issue of the natural language processing (NLP) Research Highlights series. The goal is to provide you with a summary and a closer look at a collection of interesting NLP research papers and topics that we recently came across. We aim to distill the important parts of each paper and to make these works more approachable to the reader. This series will also allow us to
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An Introduction To Real-Time Subsurface Scattering
Understanding Convolutions on Graphs
シュレディンガーの「生命とは何か」を読んで、人工生命の事を考え、NTTICCの展示を振り返る - 補遺
https://deeplearningtheory.com/PDLT.pdf
Levels of AGI: Operationalizing Progress on the Path to AGI
【Distill Web Monitor】指定したWEBページの更新を自動通知してくれるアドオンの使い方
Perceiver: General Perception with Iterative Attention
How Async Functions in Traits could Work in Rustc
Segelflygetkarlstad - Diskussionsforum
Word-As-Image for Semantic Typography
Distill Web Monitor - Chrome Web Store
How to write about web performance
A Linux sysadmin's introduction to cgroups
They Studied Dishonesty. Was Their Work a Lie?
Koala: A Dialogue Model for Academic Research
Production Twitter on One Machine? 100Gbps NICs and NVMe are fast - Tristan Hume
How can we develop transformative tools for thought?
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
In-context Reinforcement Learning with Algorithm Distillation
Post 43: Intentionally Making Close Friends — Neel Nanda
Policy Roundtable: The Future of Japanese Security and Defense - Texas National Security Review
Workshop on Visualization for AI Explainability