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@XEng
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System purge of bots underway: reply below if legitimate accounts are suspended
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This has been a year full of engineering excellence that sometimes can go unnoticed. Besides all the visible changes you see on our app, here are some of the most important improvements we have made under the hood.
- Consolidated the tech stacks for For you, Following, Search,…
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Sharing another update on the changes we’ve made to our open source repos this week and a preview of what’s next 🧵
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Today marks a new era of transparency for Twitter. 🧵
We’re sharing much of the source code that powers our platform with the world. Visit our blog to learn more about this initiative:
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X is redefining video, one pixel at a time.
We’ve upgraded our infrastructure and are shipping new updates to improve video.
80% of users consume video on X every day. And almost 70% of all users who watch videos are also scrolling through conversations.
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We identified an issue that caused Spaces hosts to get kicked out of the Space they were hosting on iOS. Unable to rejoin, the Space then ended.
We pushed a fix this morning addressing this issue, and it's now available to all iOS users.
Make sure to update your app to 10.36.2…
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We’re starting with a set of words we want to move away from using in favor of more inclusive language, such as:
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Sharing another update on the changes we’ve made to our open source repos this week and a preview of what’s next 🧵
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You may have heard about this year's Economics Nobel Prize winners - David Card, Josh Angrist (
@metrics52
) & Guido Imbens.
Their publicly available work has helped us solve tough problems
@Twitter
, and we're excited to celebrate by sharing how their findings have inspired us.
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We've been listening to your feedback, here's what we've updated in the algorithm in the past couple days:
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Happy 25th birthday to
@java
! Did you know that almost all of Twitter's services run on the Java Virtual Machine? That
@TwitterEng
develops it's own fork of
@OpenJDK
with Twitter-specific optimizations to make Java and Scala faster?
#MovedByJava
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The real magic of Twitter is in our recommendations algorithm, which powers the hit Tweets you see in your For You timeline. We broke down how it all works here:
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We are making changes to how block works.
If a user who has blocked you replies to one of your posts, you will now be able to see their reply. This change enables you to identify and report any potential bad content that you previously could not view, safeguarding both your…
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We’re excited to introduce Twitter Lite, a Progressive Web App at . Here's how we built it 🛠
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Proud of all the teams at Twitter who have been working hard to increase our product development velocity. We’ve been busy! Here’s a recap of a bunch of things we’ve shipped or started experimenting with just in the past 2 weeks:
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Starting today, we’re accepting applications for our first cohort of engineering apprentices! We know that great talent comes from all kinds of backgrounds, and we need to do a better job of creating and fostering a sustainable pipeline of diverse talent.
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We're rolling out the ability to search for every Tweet ever published. Learn about how we built this
#TwitterSearch
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Inclusive language plays a critical role in fostering an environment where everyone belongs. At Twitter, the language we have been using in our code does not reflect our values as a company or represent the people we serve. We want to change that.
#WordsMatter
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Tweetypie is the core Tweet service that handles the reading and writing of Tweet data.
Stay tuned for what comes next!
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One of our top priorities in these difficult times is to keep Twitter running and the Tweets flowing. Our work has never been more critical and our service has never been in higher demand. 🧵
Update here:
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In our latest blog post, we’re sharing the findings from our image cropping algorithm analysis and exploring ways to create a more equitable experience on Twitter.
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Pushservice is the main recommendation service we use to surface recommendations to our users via notifications. It fetches candidates from various sources, ranks them in order of relevance, and applies filters to determine the best one to send.
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We are aware of an issue that is causing Broadcasts and Spaces to not play. We are actively investigating the issue now. Thank you for your patience as our team works to bring these back.
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There are several other suggestions that we’re currently working on - we will post further updates as changes are implemented. Your feedback is much appreciated!
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Sharing another update on the changes we’ve made to our open source repos this week and a preview of what’s next 🧵
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Open sourcing Twitter Heron, our real-time stream processing engine
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Calling all bounty hunters - it’s officially go time! We’ve just released the full details of our algorithmic bias bounty challenge which is open through August 6. For more details on the challenge, head over to our blog 👇
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Many of you pointed out code that boosts likes, retweets and other Tweet attributes (image URL, hashtags, trending topics, etc). This turned out to be old and unused so we’ve deleted it.
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We’re excited to be expanding our strategic partnership with
@googlecloud
. This will enable more teams at Twitter to gain richer insights, faster, about how people use our service so we can improve the product & recommend more relevant content.
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One pull request found a genuine bug where a threshold was incorrect. We fixed that in this commit . In total, we’ve pushed commits to address 30+ issues or pull requests.
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You pointed out a safety label mentioning Ukraine, this was an old label used to help classify information in Twitter Spaces which is not in use so it has been removed.
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User Signals are the most important data source for our candidate sourcing algorithms. Here is more detail about how we use the user signals.
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There is no switch we can flip to make these changes everywhere, at once. We will continue to iterate on this work and want to put in place processes and systems that will allow us to apply these changes at scale. We’re focusing on these areas 👇
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We’re using deep learning (at scale!) in our timelines. Learn more:
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Representation Manager serves as a centralized embedding management system, providing SimClusters or other embeddings as facade of the underlying storage or services.
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To avoid confusion, we also made an update to the README on weighing heavy ranker outputs.
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Over the last 10 days, our efforts to reduce spam on Twitter have led to:
📉 85% reduction in reports of spammy group Direct Messages
📉 ~90% reduction in spammy Direct Messages sent by accounts you don’t follow
We'll continue to share updates on our progress here.
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Want to know why Twitter decided to adopt
@apachekafka
as its publish-subscribe system? Check out what we learned through the process 👇
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Today we’re introducing the Responsible ML initiative, our effort to understand the use and impact of machine learning at Twitter, and take action when needed.
We’ve been working on this for a while. Here’s how we see the path forward:
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We have developed a new ML model to improve smart auto-cropping of images on Twitter. Learn more:
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Our Aggregation Framework is a config-driven Summingbird based framework for generating real-time and batch aggregate features to be consumed by ML models.
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Learn more about the infrastructure behind Twitter in our blog series, focused on Scale
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We're updating Explore in our Twitter Lite for Android app and globally for !
We want to make it easier for more people to keep up with local trends, Moments, and popular articles in their network.
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Representation Scorer serves as a centralized scoring system, offering SimClusters or other embedding-based scoring solutions as machine learning features.
And that's it for this round. Stay tuned for what comes next!
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"Java and Scala let Twitter readily share and modify its enormous codebase across a team of hundreds of developers."
http://t.co/SvrZyeaSCL
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An inside (and detailed) look at re-architecting Twitter. Plus, a new Tweets-per-second peak: 143,199 Tweets.
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Today, we're open sourcing our AnomalyDetection R Package. Learn more:
#TimeSeries
http://t.co/aVZiwkqqDd
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Interview pro-tip: To those interviewing for our engineering roles - checkout some of these key blog posts that can help you understand our architecture and prepare for the System Design rounds. 1/5
👇👇
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Geometric Deep Learning, a new proto-book on deep learning, co-authored by
@mmbronstein
Head of Twitter Graph Learning Research with
@PetarV_93
,
@joanbruna
,
@TacoCohen
.
What is in common between CNNs, GNNs, LSTMs, Transformers, DeepSets, mesh CNNs? In a new post with
@joanbruna
@TacoCohen
@PetarV_93
we show this zoo of neural nets can be seen through the lens of symmetry.
#geometricdeeplearning
is all you need!
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Dynamic graphs are a big part of how Twitter does what it does. We use them to model networks that evolve over time. In this post
@emaros96
&
@mmbronstein
discuss a new ML model developed by Twitter to efficiently predict activity in dynamic graphs.
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We’ve been thinking a lot about remote work lately and what it means for the future of our teams.🌍🌏🌎
What is some advice for building decentralized teams that you would pass along? Any questions about how we do it at Twitter?
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This isn't just about eng terms or code. Words matter in our meetings, our conversations, and the documents we write. We know there’s still a lot of work to do, but we’re committed to doing our part.
#UntilWeAllBelong
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We built a causal estimation framework on the idea of statistical 'surrogacy' (Athey et al 2016) - when we can’t wait to observe long-run outcomes, we create a model based on intermediate data.
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📣 We're excited to announce
@Fabula_AI
is joining Twitter! They'll bring their machine learning talent to help us grow our research team and graph deep learning technology to improve the health of the conversation on Twitter. Welcome to the flock!
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Introducing Heron: a new real-time analytics platform at Twitter scale. Check it out:
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While most Graph Neural Networks assume a full set of features for all nodes, real-world graphs often have missing node features. On the blog,
@emaros96
,
@migorinova
, and
@mmbronstein
discuss how we can learn on graphs like this using Feature Propagation.
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1. Migrating source code and changing configuration by going through our existing code, IDing violating terms with new warning tools, and changing to the new inclusive terminology. Automated tools and linters are being developed in order to minimize manual effort for developers.
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Exciting news: Today we are launching the ability to Retweet with GIF, photos, and video!
We find solutions to many challenges as we build for a global, vocal audience. Here is a glimpse into our process as we worked on this feature.
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Next up in our blog series: Component-based design! Find out how the new uses components to make development an act of composition, rather than constantly reinventing the wheel.
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Twitter continues to be powered and
#MovedByJava
and we are excited to see where we, the
@java
community, go as we all evolve Java, Scala, and the JVM together.
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Imposter syndrome.
We've all dealt with it at one point. Leave a Tweet in our replies for a developer who might need your words.
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2. Updating documentation across internal resources, Google Docs, runbooks, FAQs, readmes, technical design docs, and more. We are also implementing a browser extension that will help our teams identify words in documents and web pages, and suggest alternative inclusive words.
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Twitter Data Grants: A pilot program to give researchers access to public and historical data. Learn more
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We made a subtle change that has made images on ultra-retina devices load 33% faster and save upwards of 35% on data with no perceptible change in quality. Check out our blog!
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We supported record-breaking volume as people tuned in to Twitter to follow the World Cup:
Peak Tweets/sec: 24.5K/sec
Peak Retweets/sec: 7.7K/sec
Live video peak: 50.1K requests/sec
Total tweets during the Final: 2.2B
We appreciate everyone who joined the conversation!
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Today we launched the new
#TwitterAPI
v2 - the most significant rebuild of our API since 2012. We’re sharing what went into rebuilding the Twitter API: 🧵 1/6
It’s finally here! 🥁 Say hello to the new
#TwitterAPI
.
We’re rebuilding the Twitter API v2 from the ground up to better serve our developer community. And today’s launch is only the beginning.
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Sharing a big congrats to our very own
@KLdivergence
who received the Committee of Presidents of Statistical Societies Leadership Academy award for emerging leaders in statistics at today’s
#JSM2022
conference! 🥳
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Answers now handles five billion mobile app sessions a day, in real time. See how it's done:
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We’re releasing a new framework for simplifying deep learning research: autograd for Torch
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We use Double Machine Learning to understand the causal impact of engagement actions. Our work leverages research by Chernozhukov et al. (2018), and is influenced by Imbens & Rubin (2015).
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We optimized Twitter Heron processes to 170M tuples/sec in 17 machines. Learn more:
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Based on feedback, we're working on fixes which will include: changing Tweet presentation density (so you see more Tweets) and staying on latest Tweets after hitting ✨. There are also bugs, like losing your spot in the timeline when writing a new Tweet, and unintended jumpiness.
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