🥟 Chao-Down #326 Tesla prepares to launch an in-car voice assistant, JPMorgan unveils its IndexGPT for investment advice, How AI Copilots are changing how coding is taught in schools

With Elon Musk’s stated release of Tesla’s upcoming robotaxi service in August, it looks like voice will become a more prominent interface for users to interact with their cars.

Astute Tesla fans who monitor release notes of the latest software updates have found that among various new features, Tesla is looking to introduce a voice assistant into its in-car experience. Interestingly, the voice will be narrated by the "Jenny Neutral" voice from Microsoft and will feature some wake-word. (Any guess as to what it will be?)

Electric vehicle sales have been in a slump in the past year so it’s not surprising to see Tesla try to experiment with new features. But seeing that automakers including BMW and VW are also putting ChatGPT-on-wheels, will it really be that differentiated of an experience?

Tesla owners will have to wait to find out.

-Alex, your resident Chaos Coordinator.

What happened in AI? 📰

Elon Musk’s Grok Will Get All Its News From X (Gizmodo)

JPMorgan Unveils IndexGPT in Next Wall Street Bid to Tap AI Boom (Bloomberg)

AI Copilots Are Changing How Coding Is Taught (IEEE Spectrum)

Robotaxis couldn't dodge traffic tickets under new California bills (qz.com)

AI security bill aims to prevent safety breaches of AI models (The Verge)

Microsoft Concern About Google’s Lead Drove Investment in OpenAI (Bloomberg)

Always be Learnin’ 📕 📖

Communicating GenAI Product Launches: How To Get It Right (Forbes)

AI leaderboards are no longer useful. It's time to switch to Pareto curves. (aisnakeoil.com)

Is the “AI developer”a threat to jobs – or a marketing stunt? (The Pragmatic Engineer)

Projects to Keep an Eye On 🛠

plasmicapp/plasmic: Visual builder for React. Build apps, websites, and content. Integrate with your codebase. (Github)

microsoft/ApplicationInspector: A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. (Github)

suzgunmirac/meta-prompting: Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding (Github)

The Latest in AI Research 💡

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing (arxiv)

Self-playing Adversarial Language Game Enhances LLM Reasoning (arxiv)

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding (arxiv)

Beyond Human Norms: Unveiling Unique Values of Large Language Models through Interdisciplinary Approaches (arxiv)

The World Outside of AI 🌎

Fool's gold Pyrite could be valuable thanks to lithium (qz.com)

The Rise And Fall Of The LAN Party (Aftermath)

The Bone-Marrow-Transplant Revolution (The Atlantic)

Miami is 'ground zero' for climate risk. People move there, build there anyway (CNBC)

Where working-age populations are shrinking (Axios)

Why Turning It Off and Turning It Back On Is Gadget-Fixing Magic (WSJ)

One Last Bite 😋