The AI Smartphone Era

PLUS: Zuck Will Open Source AGI

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Hello readers,

Welcome to another edition of This Week in the Future! Samsung unveiled the Galaxy S24 lineup with some interesting AI-powered features, DeepMind has conquered another STEM field, and Mark Zuckerberg is open sourcing AGI.

As always, thanks for being a subscriber! We hope you enjoy this week’s content — for a video breakdown, check out the episode on YouTube.

Let’s get into it!

The AI Smartphone Era

Samsung unveiled the Galaxy S24 (just before the Apple Vision Pro became available for pre-order), and it packs a few interesting AI features that could become standard on most smartphones going forward. The two most notable features are:

Circle to Search: This feature allows users to circle anything on their screen to prompt an internet search of that thing, streamlining the search process. You can also do visual searches (like Google Lens) by circling objects in photos.

Live Translate: This feature will translate your voice to another language in real-time. For example, if you are on the phone with someone who speaks Korean, your voice will be translated to Korean as you speak, and the other person’s voice will be translated to English, bringing us closer to a universal translator device.

Our Take

It will be interesting to see who wins: dedicated AI devices (like the Rabbit r1, Humane AI Pin, and OpenAI’s rumored device) or AI-enhanced smartphones. There’s been much talk about the smartphone being supplanted by AI assistant devices, the idea being that we no longer need to interact with software directly but simply instruct AI agents to do things for us. While agents will certainly change how we interact with computers, the smartphone will likely extend its lifespan by simply onboarding many of the AI features dedicated devices use to market their uniqueness.


Google DeepMind introduced AlphaGeometry, an AI system designed to solve complex geometry problems at an Olympiad level. The system combines a neural language model with a symbolic deduction engine and was trained on 100 million synthetic data examples. So how well does it do? AlphaGeometry solved 25 out of 30 problems from the International Mathematical Olympiads 2022 within competition time limits.

Why This Matters

AI has historically struggled with mathematics, so seeing this level of logical reasoning from an AI system demonstrates tremendous progress. Furthermore, AlphaGeometry was trained on synthetic examples, proving the viability of synthetic data in model training. If AlphaGeometry can solve Olympiad-level math problems, then it can solve pretty much anything a high school or college student would be assigned for homework.

🔥 Rapid Fire

🎙️ The AI For All Podcast

This week’s episode featured Stan Schneider, CEO of Real-Time Innovations (RTI), who discussed the importance of data in AI and the significance of sensor fusion in increasing data quality. We also touched on the complex challenges of software-defined systems and the transition to data-centric design.

📖 What We’re Reading

Pushing Smart Connected Buildings to New Heights (link)

“The next wave of intelligent buildings will increasingly incorporate AI into the smart building platform to provide us with a powerful tool to transform the way we work and the way owners manage their buildings. Integrating AI and machine learning into the smart building network enhances a building’s ability to autonomously adapt to the dynamic changes occurring within its environment.”

Source: AI For All
AI Collaboration: Building Alliances, Not Rivalries (link)

“According to a recent report by McKinsey, AI is expected to create a staggering 133 million new jobs by 2030. And yet, talk to developers, and 1 in 3 will tell you that they're concerned about losing their jobs to AI. With so much hope and so much fear intertwined, it's time to radically rethink how we approach AI.”

Source: AI For All
Generative AI Democratizes Affiliate Marketing (link)

“As the affiliate industry continues to mature, marketers on both sides face challenges, such as the need for advertisers to create incrementality and drive better conversion optimization, and the need for content creators to create relevancy and be discovered by consumers and their target audiences. For both publishers and advertisers, this is where artificial intelligence can come in handy.”

Source: AI For All

💻️ AI Tools and Platforms

  • Pinecone → The vector database for knowledgeable AI

  • Equals → AI assist for next-generation spreadsheets

  • → Control panel for AI applications

  • Credo AI → Control center for responsible AI

  • Paperspace → Cloud GPUs and hosting for AI

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