TLDR AI 2024-04-15

When it comes to AI, you have to move fast. But before you launch, you're going to need NIST AI RMF… and maybe also SOC 2, ISO 27001, HIPAA, GDPR… 😖

So how can you safely implement AI systems without being a business blocker?

⏩ Better yet, how can you automate your compliance around AI?

Drata is SaaS that walks you step-by-step through the compliance journey. It automates pretty much all of the manual processes. You can put security and compliance on autopilot and get back to building.

P.S.: There's a special offer for TLDR readers. Go check it out.

xAI has announced that its latest flagship model has vision capabilities on par with (and in some cases exceeding) state-of-the-art models.

Google's new AI chip, Cloud TPU v5p, is now available. It boasts nearly triple the training speed for large language models compared to its predecessor, TPU v4. This release underscores Google's position in the AI hardware race alongside competitors like Nvidia. Google has also introduced the Google Axion CPU, based on Arm's chip infrastructure, promising better performance and energy efficiency.

OpenAI has reportedly fired two researchers who were allegedly linked to the leaking of company secrets following months of leaks and company efforts to crack down on such incidents.

Strategic text sequences added to product descriptions can manipulate large language models in search engines to favor certain products.

MindBridge is a singular model capable of decoding brain signals from multiple subjects.

DGMamba is a new framework designed to handle domain generalization challenges using the innovative state space model Mamba.

This project introduces a dual-branch diffusion model, PanFusion, that crafts 360-degree panoramic images directly from text prompts. The method merges the Stable Diffusion approach with a specialized panorama branch, enhanced by a unique cross-attention mechanism to reduce image distortion.

Jina AI reader converts URLS into LLM-friendly markdown to be used as input for a variety of tasks.

Clean implementation of discrete diffusion. This code includes many state-of-the-art pieces and trains quickly and stably.

OctoAI just launched OctoStack, the GenAI serving stack that lets you run AI models in your own environment — ensuring data privacy and efficient utilization. Join OctoAI's live event on April 17 to learn how you can run super-efficient inference, customize model usage, and deliver reliable GenAI at scale.

Register for the live event and interactive Q&A here ↗️

BabyLM is a challenge to see who can train the best text and vision models while only using as much data as a typical human baby sees (~10M tokens).

Meta AI research's embodiment hypothesis suggests that true intelligence requires a physical form for sensory and environmental interaction. AI Habitat 3.0, Meta's updated simulation platform, aims to bridge the sim-to-real gap by training AIs with virtual bodies in simulated environments. It now has human avatars. Real-world testing is underway, with companies like Agility Robotics and Apptronik deploying robots alongside humans in various research and industrial settings.

A small and powerful visual language model trained on LAION and LLaVA data.

Dr. Andrew Ng is currently the Managing General Partner of AI Fund and is joining Amazon's Board of Directors.

AI currently falls into the micromanage category, where motivation is high but the skill level is relatively low, requiring users to define tasks, review work frequently, and guide progress at each step, similar to managing high-school interns.

This demo uses Amazon Bedrock to power the chatbot (in this case using Claude 2 by Anthropic) and Confluent Cloud to make real-time data available for retrieval. Watch now