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- Build Multimodal Reasoning AI Apps in Minutes
Build Multimodal Reasoning AI Apps in Minutes
PLUS: Opensource alternative to Google NotebookLM, Superintelligence in a few thousand days
Today’s top AI Highlights:
Build AI apps in minutes with any modality input (x), real-time reasoning (R), and any modality output (x)
What if your next project could almost code itself? Meet HyperAgent
Cloudflare will let website owners charge fees for AI bot scraping
Use Llama 3.1 405B completely free with SambaNova Cloud
Opensource alternative to Google’s NotebookLM
& so much more!
Read time: 3 mins
AI Tutorials
The tech world is evolving so fast that staying up-to-speed is overwhelming. How about multiple AI agents doing that research for you from the most dynamic yet cluttered source of top tech stories, Hacker News?
In this tutorial, we’ll show you how to build an AI-powered multi-agent researcher to research top stories on HackerNews, generating blog posts, reports, and social media content, all autonomously and in just 15 lines of Python code.
We share hands-on tutorials like this 2-3 times a week, designed to help you stay ahead in the world of AI. If you're serious about levelling up your AI skills and staying ahead of the curve, subscribe now and be the first to access our latest tutorials.
Latest Developments
xRx is an opensource orchestration framework for building AI-powered conversation apps that can process inputs in any modality (x), be it text, image or voice, reason over them in real-time (R), and give output in any modality (x). What makes xRx stand out is its ability to handle multiple input types, perform fast AI reasoning using Groq’s low-latency tech, and deliver natural, dynamic outputs like voice responses or visual updates.
With modular components that handle everything from speech recognition to reasoning agents and safety guardrails, xRx can be easily adapted for different projects with real-time, multimodal AI.
Key Highlights:
Build with “Any Modality Input, Reasoning, Any Modality Output” - Handle text, voice, and image inputs, reason over them in real-time, and deliver outputs like voice or visuals, all in one framework.
Fast AI Inference Powered by Groq - Leverage Groq’s hardware to get ultra-low-latency responses, perfect for creating real-time, conversational AI experiences that feel natural to the user.
Modular Architecture - The framework’s components—STT (Speech-to-Text), TTS (Text-to-Speech), reasoning agents, and more—are easy to plug in or modify, letting you build the exact AI interaction flow you need.
Get Started Quickly - Clone the sample apps from GitHub, configure API keys, and use Docker to run your first xRx application in minutes. You can also explore some demos with diverse voices, tonality, style, and reasoning across usecases.
Full documentation and step-by-step tutorials are here to guide you through setup and customization.
Long hours debugging and fixing code could be a thing of the past. HyperAgent, a new generalist multi-agent system, can change how you tackle large-scale coding tasks. By mimicking the typical workflows of software engineers, HyperAgent handles tasks such as code generation, bug fixing, and feature implementation across multiple programming languages. It consists of four specialized agents—Planner, Navigator, Code Editor, and Executor—that work together to manage the entire lifecycle of software tasks and deliver impressive results on benchmarks for GitHub issue resolution.
Key Highlights:
Complete Lifecycle Automation - HyperAgent’s four agents—Planner, Navigator, Code Editor, and Executor—cover every phase from planning and code editing to bug fixing and testing, reducing manual developer input.
Performance - Achieves a 31.4% success rate in resolving GitHub issues (SWE-Bench Verified) and handles repository-scale code generation with a 53.3% pass rate on RepoExec, surpassing existing methods.
Cost and Speed - HyperAgent-Lite processes tasks faster and more cost-efficiently than leading alternatives, taking 108-132 seconds per task at just $0.45 per instance.
Getting Started - Install Zoekt for code search and universal-ctags for semantic exploration, then set up HyperAgent. You can quickly test it on your repo or specific tasks like GitHub issue resolution. Full instructions and sample scripts are available to help you integrate it into your workflow.
Quick Bites
OpenAI is launching an initiative called the OpenAI Academy to invest in developers and organizations using AI to tackle hard problems in low- and middle-income countries. The initiative will provide training, API credits, and community support to drive innovation and economic growth.
SambaNova’s high-performance inference service SambaNova Cloud offers completely free access to Llama 3.1 405B and other Llama 3.1 models. It is incredibly fast at 140+ tokens per second and 0.34s to first token.
Cloudflare has released AI Audit, a set of tools to help websites of any size using Cloudflare to analyze and understand why, when, and how often AI bots access their website. They are also releasing a monetization feature next year where content creators can set a price for AI crawlers to access their content.
Tools of the Trade
Pdf2Audio: Opensource alternative to the podcast feature of Google’s NotebookLM with flexibility & tailored outputs that you can precisely control in the app: You can make a podcast, lecture, discussions, short/long form summaries & more, including using the OpenAI’s o1 model. You try the app here.
Nile: Postgres-based platform that lets you create multi-tenant AI apps by separating storage and compute, making it easy to scale and manage data for many customers.
Panora: Opensource APIs that simplify integrating business data from platforms like CRMs and file storage into AI products. It reduces engineering time by providing a single, well-documented API for multiple software integrations.
Awesome LLM Apps: Build awesome LLM apps using RAG to interact with data sources like GitHub, Gmail, PDFs, and YouTube videos through simple text. These apps will let you retrieve information, engage in chat, and extract insights directly from content on these platforms.
Hot Takes
It is possible that we will have superintelligence in a few thousand days (!); it may take longer, but I’m confident we’ll get there. ~
Sam AltmanHow could computers multiplying numbers lead to "literal human extinction?"
Doomers never say how, and politicians never press them because they imagine something like Terminator. ~
Amjad MasadPotentially last US presidential election before AGI
last summer Olympics before AGI too! (but that is a bit less interesting) ~
Alexandr Wang
Meme of the Day
That’s all for today! See you tomorrow with more such AI-filled content.
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