OpenAI Granting $10M to Solve the Alignment Problem
Plus: Alibaba released image-to-video AI, Intel bringing AI capabilities to PCs.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 169th edition of The AI Edge newsletter. This edition brings you “OpenAI’s $10 million grants program called - Superalignment Fast Grants”.
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In today’s edition:
💰 OpenAI granting $10M to solve the alignment problem
📹Alibaba released ‘12VGen-XL’ image-to-video AI
💻 Intel’s new Core Ultra CPUs bring AI capabilities to PCs
📚 Knowledge Nugget: How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps by
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OpenAI granting $10M to solve the alignment problem
OpenAI, in partnership with Eric Schmidt, is launching a $10 million grants program called "Superalignment Fast Grants" to support research on ensuring the alignment and safety of superhuman AI systems. They believe that superintelligence could emerge within the next decade, posing both great benefits and risks.
Existing alignment techniques may not be sufficient for these advanced AI systems, which will possess complex and creative behaviors beyond human understanding. OpenAI aims to bring together the best researchers and engineers to address this challenge and offers grants ranging from $100,000 to $2 million for academic labs, nonprofits, and individual researchers. They are also sponsoring a one-year fellowship for graduate students.
Why does this matter?
With $10M in new grants to tackle the alignment problem, OpenAI is catalyzing critical research to guide AI's development proactively. By mobilizing top researchers now, years before advanced systems deployment, they have their sights set on groundbreaking solutions to ensure these technologies act for the benefit of humanity.
Alibaba released ‘12VGen-XL’ image-to-video AI
Alibaba released 12VGen-XL, a new image-to-video model, It is capable of generating high-definition outputs. It uses cascaded diffusion models and static images as guidance to ensure alignment and enhance model performance.
The approach consists of 2 stages: a base stage for coherent semantics and content preservation and a refinement stage for detail enhancement and resolution improvement. The model is optimized using a large dataset of text-video and text-image pairs. The source code and models will be publicly available.
Why does this matter?
Generating videos from just images and text prompts - This level of control and alignment shows the immense creativity and personalization that generative video brings in sectors from media to marketing. This release brings another competitor to the expanding AI video-gen sector, with capabilities ramping up at a truly insane pace.
Intel’s new Core Ultra CPUs bring AI capabilities to PCs
Intel has launched its Intel Core Ultra mobile processors, which bring AI capabilities to PCs. These processors offer improved power efficiency, compute and graphics performance, and an enhanced AI PC experience.
They will be used in over 230 AI PCs from partners such as Acer, ASUS, Dell, HP, Lenovo, and Microsoft Surface. Intel believes that by 2028, AI PCs will make up 80% of the PC market, and they are well-positioned to deliver this next generation of computing.
Why does this matter?
Intel believes that by 2028, AI PCs will make up 80% of the PC market, and they are well-positioned to deliver this next generation of computing. With dedicated AI acceleration capability spread across the CPU, GPU, and NPU architectures, Intel Core Ultra is the most AI-capable and power-efficient client processor in Intel’s history.
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Knowledge Nugget: How to Run ChatGPT-like LLMs Locally on Your Computer in 3 Easy Steps
This tutorial by
explains how to run ChatGPT-like LLMs locally on your computer without an internet connection. It introduces llamafile, a tool developed by Mozilla, that makes running LLMs locally easier. The tutorial provides step-by-step instructions for setting up and using two LLMs: LLaVA 1.5 and Mistral 7B.It includes instructions for downloading the llamafile, making the binary executable, running the web server, accessing the web UI, and terminating the process. The tutorial concludes by highlighting the significance of llamafile in simplifying the deployment and use of advanced LLMs for various purposes.
Why does this matter?
By outlining step-by-step guidance to run robust LLMs locally, this piece underscores the vital point that transformative AI need not be confined to the cloud. Efforts like Mozilla's llamafile tackle friction in on-device deployment, an essential part of democratizing access to generative models and preserving user privacy.
What Else Is Happening❗
🛠 Instagram introduces a new AI background editing tool for U.S.-based users
The tool allows users to change the background of their images through prompts for Stories. Users can choose from ready prompts or write their own prompts. When a user posts a Story with the newly generated background, others will see a "Try it" sticker with the prompt, allowing them also to use this tool. (Link)
🚀 Microsoft continues to advance tooling support in Azure AI Studio
They have made over 25 announcements at Microsoft Ignite, including adding 40 new models to the Azure AI model catalog, new multimodal capabilities in Azure OpenAI Service, and the public preview of Azure AI Studio. (Link)
🔍 Google is reportedly working on an AI assistant for Pixels called “Pixie”
It will use the information on a user’s phone, such as data from Maps and Gmail, to become a more “personalized” version of Google Assistant, according to a report from The Information. The feature could reportedly launch in the Pixel 9 and 9 Pro next year. (Link)
🧠 DeepMind's AI has surpassed human mathematicians in solving unsolved combinatorics problems
This is the first time an LLM-based system has gone beyond existing knowledge in the field. Previous experiments have used LLMs to solve math problems with known solutions, but this breakthrough demonstrates the AI's effectiveness in tackling unsolved problems. (Link)
💼 H&R Block announces AI tax filing assistant
Which answers users' tax filing questions. Accessed through paid versions of H&R Block's DIY tax software, the chatbot provides information on tax rules, exemptions, and other tax-related issues. It also directs users to human tax experts for personalized advice. (Link)
That's all for now!
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