TLDR AI

TLDR AI 2023-11-28

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01HEADLINES & LAUNCHES

TESLA STARTS RELEASING TO EMPLOYEES FSD V12

Tesla has started releasing its Full Self-Driving v12 update to employees. The biggest difference with the update is how vehicle controls will be taken over by neural nets rather than being hard-coded by engineers. Tesla may be able to push the update to customers by the end of the year. Elon Musk has previously said that he believes that Tesla will achieve true self-driving capability by the end of the year.

electrek.co2 min read

INTRODUCING CLAUDE 2.1

Claude 2.1, the updated AI model from Claude, now offers a 200K token context window and a 2x decrease in false statements. The model also introduces a beta feature, tool use, allowing Claude to integrate with users' existing processes and APIs. The update seeks to increase trust, reliability, interoperability, and cost efficiency in AI applications.

anthropic.com4 min read

02RESEARCH & INNOVATION

STARLING-7B: INCREASING LLM HELPFULNESS & HARMLESSNESS WITH RLAIF

A group of researchers at Berkeley trained a new state-of-the-art 7B parameter model using synthetic preference data. This blog talks about the novel challenges of training reward models (e.g., the position of the example in the list changes its ranking) and how they overcame them. The resulting model is available along with the trained reward model.

starling.cs.berkeley.edu12 min read

360-DEGREE PANORAMIC IMAGING USING CIRCULAR BLENDING TECHNIQUE

Researchers have devised a unique circular blending method to address the longstanding challenge of creating seamless 360-degree panoramic images. This technique is a key feature in their innovative models for generating panoramic images from text and single images.

github.comGitHub repository

IMAGE-TO-PAINTING

Researchers have developed a new technique for transforming images into paintings that mimic human-like quality and style.

manuelladron.github.io4 min read

03ENGINEERING & RESOURCES

INSANELY FAST WHISPER WITH SPEAKER DIARIZATION

A somewhat opinionated CLI tool for transcribing audio files. It also now includes speaker segmentation and diarization (e.g., recognizing speaker 1 vs speaker 2). The claim is they can transcribe 2.5 hrs of audio in 100s, even on some of the largest models available.

github.comGitHub repository

AGENCY

Library designed for developers to explore the potential of LLMs and other generative AI through a clean, effective, and Go-idiomatic approach.

github.comGitHub repository

IMPROVING INSTRUCTION QUALITY BY COACHLM

CoachLM introduces a novel AI technique to refine instruction datasets for LLMs. This method uniquely improves datasets by revising rather than removing low-quality samples, significantly elevating the effectiveness of instruction-following in LLMs.

github.comGitHub repository

04MISCELLANEOUS

EXPLORING THE GROWING CONVERGENCE BETWEEN BLOCKCHAIN AND AI

This report, which polled 600+ IT executives from around the world, digs into the primary drivers behind the ever-growing appetite for AI, the most popular use cases, and the primary hurdles hindering broader adoption. Notably, it also debunks the notion that blockchain and AI are not complementary technologies.

pages.casperlabs.io20 min read

GOD HELP US, LET’S TRY TO UNDERSTAND AI MONOSEMANTICITY

Researchers from Anthropic have developed a method to interpret the complex workings of AI by simulating a larger AI within a smaller one, revealing that AI neural networks can encode information in a sophisticated manner, akin to superposition in physics. By applying this technique to a simple AI, they discovered that it could represent distinct concepts, like "God", in individual features, and they speculate that the same approach might reveal deeper insights into both artificial and biological neural systems, potentially leading to more efficient and safer AI development.

astralcodexten.com11 min read

REBUILDING ORGANIZATIONS FOR AI

The integration of AI in organizations is transforming traditional work processes, enabling teams to work more efficiently by automating tasks and decision-making. As AI evolves rapidly, it's crucial for organizations to adapt by encouraging team experimentation with AI, preparing for future advancements, and acting swiftly to stay competitive.

oneusefulthing.org9 min read