Apple and Meta's failed partnership due to privacy concerns

IBM's integration of AI technology into quantum computing

Record labels suing AI startups for training on copyrighted material

Research papers on improving multimodal understanding, reinforcement learning, and automated software engineering

Contact:  [email protected]

Timestamps:

00:34 Introduction

02:07 Apple shelved the idea of integrating Meta’s AI models over privacy concerns, report says

03:25 IBM Develops The AI-Quantum Link

05:25 Record Labels Sue Two Startups for Training AI Models on Their Songs

06:50 Fake sponsor

08:42 Long Context Transfer from Language to Vision

10:27 WARP: On the Benefits of Weight Averaged Rewarded Policies

12:11 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

13:55 Outro

Safe Superintelligence Inc. has launched with the goal of building a safe superintelligence AI that won't turn on humanity.

Dell, Nvidia, and Super Micro Computer are partnering with xAI and Elon Musk to build a massive supercomputer that could use up to 100,000 Nvidia H100 GPUs, potentially making it 4x larger than the biggest existing AI clusters.

Anthropic has launched Claude 3.5 Sonnet, their latest model family, which outperforms competitor models and even their own Claude 3 Opus on a wide range of evaluations.

The papers discussed in this episode explore the decision boundaries of large language models, auto-optimized training hyperparameters for IR models, and thinking step-by-step across modalities using whiteboard-of-thought. These findings could have important implications for the future development of AI.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:40 Ilya Sutskever Launches Safe Superintelligence Inc.

03:04 Dell joins forces with Nvidia, Grok, xAI and Elon Musk

04:23 Anthropic Lauches Claude 3.5 Sonnet

06:10 Fake sponsor

08:16 Probing the Decision Boundaries of In-context Learning in Large Language Models

09:47 Prompts as Auto-Optimized Training Hyperparameters: Training Best-in-Class IR Models from Scratch with 10 Gold Labels

11:05 Whiteboard-of-Thought: Thinking Step-by-Step Across Modalities

12:54 Outro

Google DeepMind's new AI tool that generates video soundtracks by combining text prompts with visual content.

Challenges of building large training AI clusters, including power, network topology, and reliability.

How large language models acquire factual knowledge during pretraining and their probabilistic reasoning capabilities.

LLARVA's vision-action instruction tuning that enhances robot learning.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:47 Google DeepMind’s new AI tool uses video pixels and text prompts to generate soundtracks

03:31 100,000 H100 Clusters: Power, Network Topology, Ethernet vs InfiniBand, Reliability, Failures, Checkpointing

05:22 Large language model data pipelines and Common Crawl (WARC/WAT/WET)

06:47 Fake sponsor

08:20 How Do Large Language Models Acquire Factual Knowledge During Pretraining?

10:01 What Are the Odds? Language Models Are Capable of Probabilistic Reasoning

11:22 LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning

13:06 Outro

TikTok is expanding its Symphony ad suite with AI-generated avatars of creators and paid actors, as well as a global translation tool for multi-language support.

NVIDIA has released an open synthetic data generation pipeline for training large language models, which could benefit industries that rely on natural language processing.

Cohere's latest generative models, Command R and R+, can automate and streamline complex business workflows, saving time and increasing efficiency.

XLand-100B is a large-scale dataset for in-context reinforcement learning, providing a challenging benchmark for researchers in the field. CountGen addresses the challenge of controlling the number of depicted objects in text-to-image generation, while MM-NIAH is the first benchmark specifically designed to test the comprehension abilities of existing multimodal large language models.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:23 TikTok ads may soon contain AI-generated avatars of your favorite creators

02:59 NVIDIA Releases Open Synthetic Data Generation Pipeline for Training Large Language Models

04:43 Automating Complex Business Workflows with Cohere: Multi-Step Tool Use in Action

06:17 Fake sponsor

08:22 XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning

10:23 Make It Count: Text-to-Image Generation with an Accurate Number of Objects

11:58 Needle In A Multimodal Haystack

13:37 Outro

Meta has paused its plans to train AI models on EU users' Facebook and Instagram posts due to concerns about privacy violations and lack of transparency.

McDonald's is ending its AI drive-thru ordering partnership with IBM, but is confident that a voice-ordering solution for drive-thru will be part of their restaurants' future.

"Creativity Has Left the Chat: The Price of Debiasing Language Models" explores the trade-off between consistency and creativity when selecting the appropriate model for creative tasks such as copywriting and ad creation.

"VideoGUI: A Benchmark for GUI Automation from Instructional Videos" highlights the need for better models and benchmarks to advance GUI automation.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:35 Meta won't train AI on Euro posts after all, as watchdogs put their paws down

03:10 McDonald’s will stop testing AI to take drive-thru orders, for now

04:52 An Interview with AMD CEO Lisa Su About Solving Hard Problems

05:53 Fake sponsor

07:52 Creativity Has Left the Chat: The Price of Debiasing Language Models

09:23 VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

11:19 VideoGUI: A Benchmark for GUI Automation from Instructional Videos

12:58 Outro

Samsung showcases new manufacturing roadmap and AI chipmaking platform to compete with TSMC.

OpenAI CTO addresses Elon Musk's criticism and reveals that their internal models aren't far ahead of what's available for free.

Meta's MLow low-bitrate audio codec improves audio quality for slow-speed connections.

Google DeepMind's TransNAR model combines Transformers with neural algorithmic reasoners for better algorithmic reasoning.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:42 Samsung Showcases AI-Era Vision and Latest Foundry Technologies at SFF 2024

02:59 OpenAI CTO Speaks About Elon Musk and Future Models

04:42 MLow: Meta’s low bitrate audio codec

05:51 Fake sponsor

08:08 Depth Anything V2

09:46 Transformers meet Neural Algorithmic Reasoners

11:14 Can't Hide Behind the API: Stealing Black-Box Commercial Embedding Models

12:54 Outro

Microsoft has retired its Copilot GPT Builder feature, citing a shift in focus towards enterprise and commercial applications.

TextGrad is a framework that performs automatic "differentiation" via text, using natural language feedback from large language models to optimize variables in computation graphs.

"What If We Recaption Billions of Web Images with LLaMA-3?" is a paper that recaptioned 1.3 billion images from a web-crawled dataset using LLaMA-3, resulting in enhanced zero-shot performance in cross-modal retrieval tasks and improved alignment with users' text instructions for generative models.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:38 Elon Musk withdraws lawsuit against OpenAI

02:47 Microsoft Kills Copilot GPT Builder

04:18 Uncensor any LLM with abliteration

05:58 Fake sponsor

07:52 TextGrad: Automatic "Differentiation" via Text

09:41 Simple and Effective Masked Diffusion Language Models

10:52 What If We Recaption Billions of Web Images with LLaMA-3?

12:31 Outro

Apple's unique approach to AI development, focusing only on personal devices and prioritizing user privacy.

The ARC Prize competition pushing the boundaries of AI development towards AGI, incentivizing open-source research.

"Improve Mathematical Reasoning in Language Models by Automated Process Supervision" paper proposing a novel approach to improving mathematical reasoning performance of large language models.

"The Prompt Report: A Systematic Survey of Prompting Techniques" paper establishing a structured understanding of prompts for GenAI systems.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:56 Apple execs explain why its AI is different from competitors

03:11 ANNOUNCING ARC PRIZE

04:56 Introducing Apple’s On-Device and Server Foundation Models

06:17 Fake sponsor

08:30 Improve Mathematical Reasoning in Language Models by Automated Process Supervision

10:22 Simple and Effective Masked Diffusion Language Models

11:59 The Prompt Report: A Systematic Survey of Prompting Techniques

13:45 Outro

Perplexity, an AI startup, has been accused of plagiarism by news outlets like Forbes and CNBC, raising concerns about the erosion of trust in media and the impact of AI on journalism.

The article "TechScape: How cheap, outsourced labor in Africa is shaping AI English" from The Guardian highlights the impact of outsourcing AI training to anglophonic knowledge workers in parts of the global south, and raises questions about the impact on language, culture, and identity.

The paper "Show, Don't Tell: Aligning Language Models with Demonstrated Feedback" from Stanford University introduces a method called DITTO that uses a small number of demonstrations to customize language models, showing promising results in fine-grained style and task alignment.

"WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild" from the Allen Institute for AI and the University of Washington introduces an automated evaluation framework designed to benchmark large language models on challenging real-world user queries, providing a more reliable and interpretable evaluation of models' performance.

Contact:  [email protected]

Timestamps:

00:34 Introduction

01:36 AI startup Perplexity accused of ‘directly ripping off’ news outlets like Forbes, CNBC without proper credit

03:32 TechScape: How cheap, outsourced labour in Africa is shaping AI English

04:34 Thread: an AI jupyter notebook

05:29 Fake sponsor

07:34 Show, Don't Tell: Aligning Language Models with Demonstrated Feedback

08:56 WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

10:46 Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

12:28 Outro

The impending launch of the real Siri by Apple, with improvements in reliability and integration inside apps.

The Mixture-of-Agents approach to leverage the collective strengths of multiple large language models, achieving state-of-the-art performance.

The Proofread feature in Google's Gboard, using a large language model to provide sentence-level and paragraph-level corrections with a single tap.

The Comprehensive RAG Benchmark, shedding light on the limitations of current question answering models and laying the groundwork for a KDD Cup 2024 challenge.

Contact:  [email protected]

Timestamps:

00:34 Introduction

02:13 Is Apple about to finally launch the real Siri?

04:03 WARC-GPT: An Open-Source Tool for Exploring Web Archives Using AI

05:10 Claude’s Character

06:47 Fake sponsor

08:45 Mixture-of-Agents Enhances Large Language Model Capabilities

10:18 Proofread: Fixes All Errors with One Tap

11:53 CRAG -- Comprehensive RAG Benchmark

14:03 Outro