TheSequence - 🤖➕🙎🏽AGI and Human Alignment
Was this email forwarded to you? Sign up here 📝 EditorialThe quest to achieve artificial general intelligence (AGI) is one of the most fascinating endeavors in the entire technology industry and one that is making rapid progress. Many experts believe that we might be just two or three technological breakthroughs away from the first forms of AGI. Models like GPT-3, AlphaFold, and DALL-E clearly exhibit initial signs of intelligence that resembles human cognition. Despite the progress, the quest for AGI is still full of existential challenges, such as the alignment with human values and intent. If we can’t guarantee that AGI systems are aligned with human values and do what humans want, we might be creating systems that pose fundamental risks to humanity. The idea of AGI alignment with human values is well understood but the formal frameworks to ensure such a goal are still in very early stages. Last week, OpenAI unveiled some efforts on AGI-human alignment research following an empirical approach. In general, OpenAI’s methodology follows three key principles:
Following the three previous steps, we can see a progression of AGI alignment research that starts with humans and continues with AI. The last point basically states that, at large scale, AI will be more efficient than humans at finding alignment with human values. That’s quite a statement! OpenAI alignment research is not without limitations but its certainly one of the most complete works tackling one of the existential challenges for our path towards AGI. 🔺🔻TheSequence Scope – our Sunday edition with the industry’s development overview – is free. To receive high-quality content about the most relevant developments in the ML world every Tuesday and Thursday, please subscribe to TheSequence Edge 🔺🔻 🗓 Next week in TheSequence Edge: Edge#221: we explain what Diffusion Models are; discuss Imagen, Google’s massive diffusion model for photorealistic text-to-image generation; explore MindEye that allows you to run multiple generative art models in a single interface. Edge#222: we deep dive into Axion, the feature store architecture powering ML pipelines at Netflix. Now, let’s review the most important developments in the AI industry this week 🔎 ML ResearchAGI Alignment OpenAI discussed the main frameworks for ensuring human alignment in future AGI systems →read more ML and Google Meet Backgrounds Google Research published a paper presenting a video segmentation technique used to improve background images in Google Meet →read more Galaxies and Graph Neural Networks Carnegie Mellon University published a paper discussing a graph neural network and GAN-based technique used to predict the orientation of galaxies in the universe →read more Time-Series Transformers Salesforce Research published a paper detailing ETSformer, an exponential smoothing transformer technique for time-series forecasting →read more 💎 We recommend: Out-of-the-box vector search experience, designed for AI, delivered on Zilliz Cloud*Vector embedding is the most powerful technique that can encode almost any kind of data into vectors. This technique is widely adopted in various AI-driven applications, including recommendation engines, reverse image search, video similarity search, intelligent QA chatbots, fraud detection, data deduplication, molecular structure analysis, and more. However, traditional databases are not designed to handle vector embeddings effectively, necessitating a purpose-built data infrastructure to manage and process them at scale. Enter vector database. Zilliz Cloud is a fully-managed cloud vector database built atop Milvus, the most popular open-source vector database that was also created at Zilliz. Milvus is widely recognized for its high scalability, ease of use, and high performance. Zilliz Cloud further simplifies the process of deploying and scaling vector search applications by eliminating the need to create and maintain complex data infrastructure. Zilliz Cloud is currently in private preview for early access to select customers. Find out if you’re eligible today! *We thank Zilliz for their ongoing support of TheSequence.🤖 Cool AI Tech ReleasesMoCapAct Microsoft Research released MoCapAct, a dataset for different tasks in humanoid robotic movements. One of the demos teaches a robot to dance like Mick Jagger! →read more 🛠 Real World MLMulti-Task Learning at LinkedIn LinkedIn provides some insights about the architecture used to enable multi-task learning models for different scenarios →read more Real-Time Analytics and Uber Freight Uber discusses the architecture powering real-time analytics for the Uber Freight solution →read more Time Constrained Recommendations at Netflix Netflix presents a reinforcement learning approach for recommendation systems that operate on a time-constrained budget →read more 💸 Money in AI
You’re on the free list for TheSequence Scope and TheSequence Chat. For the full experience, become a paying subscriber to TheSequence Edge. Trusted by thousands of subscribers from the leading AI labs and universities.
|
Older messages
📌 Event: Data Validation for Enterprise ML using Great Expectations and Hopsworks Feature Store/ Aug 31
Friday, August 26, 2022
Defining expectation suites and reusing existing ones Have you ever worked really hard on training an awesome model just to have everything break in production because of a change in ETL logic in a
🐙 Edge#220: Dive into Meta AI’s Make-A-Scene, which pushes the boundaries of AI art synthesis
Thursday, August 25, 2022
The new model uses text-to-image and image-to-image generation to produce astonishing artistic outputs.
📝 Guest post: Your Fitbit for data and model health*
Wednesday, August 24, 2022
In this article, our partner WhyLabs describes the importance of monitoring data health and how they are helping organizations track vitals along ML and data pipelines to proactively detect data
📄➡️🖼 Edge#219: A New Series About Text-to-Image Models
Tuesday, August 23, 2022
In this issue: we start the new series about text-to-image models; we discuss CLIP, a neural network that can learn image representations while being trained using natural language datasets; we explore
🍱 The Text-to-Image Synthesis Revolution
Monday, August 22, 2022
Weekly news digest curated by the industry insiders
You Might Also Like
Stripe makes more changes
Thursday, April 25, 2024
TikTok is in trouble, and net neutrality is back View this email online in your browser By Christine Hall Thursday, April 25, 2024 Welcome back to TechCrunch PM, your home for all things startups,
💎 Issue 414 - From a Lorry Driver to Ruby on Rails Developer at 38
Thursday, April 25, 2024
This week's Awesome Ruby Newsletter Read this email on the Web The Awesome Ruby Newsletter Issue » 414 Release Date Apr 25, 2024 Your weekly report of the most popular Ruby news, articles and
💻 Issue 414 - JavaScript Features That Most Developers Don’t Know
Thursday, April 25, 2024
This week's Awesome Node.js Weekly Read this email on the Web The Awesome Node.js Weekly Issue » 414 Release Date Apr 25, 2024 Your weekly report of the most popular Node.js news, articles and
💻 Issue 407 - The Performance Impact of C++'s `final` Keyword
Thursday, April 25, 2024
This week's Awesome .NET Weekly Read this email on the Web The Awesome .NET Weekly Issue » 407 Release Date Apr 25, 2024 Your weekly report of the most popular .NET news, articles and projects
💻 Issue 414 - Everyone Has JavaScript, Right?
Thursday, April 25, 2024
This week's Awesome JavaScript Weekly Read this email on the Web The Awesome JavaScript Weekly Issue » 414 Release Date Apr 25, 2024 Your weekly report of the most popular JavaScript news, articles
📱 Issue 408 - All web browsers on iOS are just Safari with different design
Thursday, April 25, 2024
This week's Awesome iOS Weekly Read this email on the Web The Awesome iOS Weekly Issue » 408 Release Date Apr 25, 2024 Your weekly report of the most popular iOS news, articles and projects Popular
💧 Don't Bother Liquid Cooling Your AMD CPU — Why You Should Keep Using Live Photos on iPhone
Thursday, April 25, 2024
Also: We review the Unistellar Odyssey iPhone Telescope, and More! How-To Geek Logo April 25, 2024 Did You Know Charles Darwin and Abraham Lincoln were both born on the same day: February 12, 1809. 💻
💻 Issue 332 - 🥇The first framework that lets you visualize your React/NodeJS app 🤯
Thursday, April 25, 2024
This week's Awesome React Weekly Read this email on the Web The Awesome React Weekly Issue » 332 Release Date Apr 25, 2024 Your weekly report of the most popular React news, articles and projects
💻 Issue 409 - Sized, DynSized, and Unsized by Niko Matsakis
Thursday, April 25, 2024
This week's Awesome Rust Weekly Read this email on the Web The Awesome Rust Weekly Issue » 409 Release Date Apr 25, 2024 Your weekly report of the most popular Rust news, articles and projects
📱 Issue 411 - AI Starts to Sift Through String Theory's Near-Endless Possibilities
Thursday, April 25, 2024
This week's Awesome Swift Weekly Read this email on the Web The Awesome Swift Weekly Issue » 411 Release Date Apr 25, 2024 Your weekly report of the most popular Swift news, articles and projects