What can we expect from Apple for their AI ambitions? While recent headlines have shown the iPhone-maker to be willing to strike deals with other model providers like Google, the company is still looking for homegrown innovation.

Apple's AI research team recently released a new system called ReALM (Reference resolution as Langauge Modeling), which enhances voice assistant interactions by understanding screen context and conversational background. ReALM outperforms existing methods and even GPT-4 in being able to parse on-screen entities into a textual layout for language models to process.

From the researchers:

“Being able to understand context, including references, is essential for a conversational assistant… Enabling the user to issue queries about what they see on their screen is a crucial step in ensuring a true hands-free experience in voice assistants.”

Will we finally see the long-awaited upgrade to Siri with ReALM? Many eyes will be fixed on Apple as they announce their latest products at the upcoming Worldwide Developers Conference.

I know I’ll be tuning in.

-Alex, your resident Chaos Coordinator.

What happened in AI? 📰

Nobody Knows How to Safety-Test AI (TIME)

Apple researchers develop AI that can 'see' and understand screen context | (VentureBeat)

Why OpenAI and Other Data-Hungry AI Companies Need a Bigger Internet (WSJ)

AI is upending eye exams for patients and providers—in a good way: ‘It’s been a godsend for us’ (Fortune Well)

Larry Summers thinks AI could replace ‘almost all' forms of labor. Just don’t expect a 'productivity miracle' soon (Fortune Asia)

Researchers gave AI an 'inner monologue' and it massively improved its performance | (Live Science)

Always be Learnin’ 📕 📖

Your AI Product Needs Evals - How to construct domain-specific LLM evaluation systems. (hamel.dev)

Untangling concerns about consolidation in AI (Substack)

Putting Data in a Corner: LLMs and Financial Services Data | Andreessen Horowitz (a16z.com)

Projects to Keep an Eye On 🛠

topoteretes/cognee: Knowledge and Memory management for the AI Applications and AI Agents (Github)

mrphrazer/reverser_ai: Provides automated reverse engineering assistance through the use of local large language models (LLMs) on consumer hardware. (Github)

wandb/openui: OpenUI let's you describe UI using your imagination, then see it rendered live. (Github)

The Latest in AI Research 💡

AIOS: LLM Agent Operating System (arxiv)

Be Yourself: Bounded Attention for Multi-Subject Text-to-Image Generation (arxiv)

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption (arxiv)

The World Outside of AI 🌎

Half a million California workers will get $20 minimum wage, starting today (NPR)

Google to delete records from Incognito tracking (bbc.com)

Homebuyers need to earn 80% more than they did in 2020 to afford a home in today's market (Yahoo)

Microsoft unbundles Office and Teams globally following years-long criticism | (TechCrunch)

Japan: Fertility Startups Race to Meet Demand for IVF, Infertility Treatment - (Bloomberg)

Memories are made by breaking DNA — and fixing it (Nature)

One Last Bite 😋

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