TLDR AI 2024-06-05

Email is one of the main ways companies communicate with customers — but very few companies know how to parse unstructured email text into useful data.

Nylas has the critical infrastructure you need to:

• Apply customized AI to parse email inboxes, making it 12x faster to make your email data AI or LLM ready.
• Extract, filter, and normalize email data, securely and cost-effectively — i.e. without sending your customers' emails to 3rd party LLMs!
• Manage integrations with all email providers using a single API.

Learn more about Nylas APIs + AI including examples for different industries

A group of current and former AI employees is calling for advanced AI companies to commit to principles that ensure transparency and protection for employees who raise risk-related concerns. They highlight the need for companies to avoid enforcing non-disparagement agreements, facilitate anonymous reporting processes, support open criticism, and prevent retaliation against whistleblowers.

Sam Altman is one of Silicon Valley's most prolific and aggressive individual investors. He manages an investment empire with holdings worth at least $2.8 billion as of early this year. Much of the portfolio isn't widely known. This article takes readers through what's known about Altman's investments.

Over 900 people attended last year's Conference on Robot Learning, which featured 11 workshops and almost 200 accepted papers. One of the largest debates at the event was whether training a large neural network on a very large data set was a feasible way to solve robotics. This post presents the different sides of the argument to deepen people's understanding of the debate. Scaling has worked for other similar fields. However, it is impractical as there isn't much robotics data available and there's no clear way to get it. Even if scaling works as well as in other fields, it likely still won't solve robotics.

MMLU is a common benchmark for reasoning tasks. It is often considered to be both the gold standard and something models have overfit. MMLU Pro is a new, harder, and cleaner benchmark for measuring language model reasoning.

Fantastic diffusion paper that diffuses code for images. It can directly make edits as part of the diffusion process. It is slow, but can be combined easily with search to dramatically improve reasoning ability.

Researchers have introduced improved methods for optimization-based jailbreaking of large language models, building on the Greedy Coordinate Gradient (GCG) attack.

Control-GIC is a new framework for generative image compression that allows fine-grained bitrate adjustment while maintaining high-quality results.

A chatbot can sound human AND provide detailed, precise answers. Check out this blog from Neo4j about how retrieval-augmented generation (RAG) improves your LLM's responses. Learn about use cases where RAG made a huge difference in making a chatbot's answers more relevant and accurate. Read the blog now.

From the creator of ControlNet, Omost is a way to gain control over your image generation. It first rewrites prompts as a set of descriptive code. Then it uses that to render the final image. Importantly, you can edit the code before or after generation to slightly change the model output.

Researchers have developed a training-free video interpolation method for generative video diffusion models. This new approach, compatible with various models, enhances frame rates without the need for extensive training or large datasets.

Using theoretical speed of light modeling as grounding is really important for problems where the amount of computation and memory access is known a priori as it helps validate the quality of implementations and predict the impact of architectural changes.

This review of open source AI repositories aims to give readers a big-picture view of the seemingly overwhelming AI ecosystem.

It's possible that many of the jobs that humans do today will continue to be done by humans indefinitely, no matter how much better AIs are at those jobs, due to comparative advantage.

Raspberry Pi is launching an AI chip integrated with its camera software that will allow AI applications like chatbots to run natively on the microcomputer.

Prevent fraud and spoofing attacks with advanced facial recognition technology.

University of Michigan researchers, in collaboration with Mexico's INAOE, have developed AI tools that analyze dog barks to determine playfulness or aggression, as well as identify the dog's breed, age, and sex.