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Daily Digest #328

Hello folks, here’s what we have today;

PICKS

1. I wrote a deep dive on how non-technical people are using AI to write code⁷⁶. It includes views from others who’ve done this successfully, a tutorial on how you can too, tips to help you learn and breaking down what the learning process could look like.

2. Samsung announces its new phones with AI features⁴⁷³ taking centre stage. Hands-on¹⁶¹ with these features has some nice things, whereas others are still meh. The AI features are powered by Google’s Gemini models. A few are on-device, others via cloud. Circle to Search¹⁴⁶ is the leading feature where you can circle (or scribble over) anything in images and videos to get focused search results.🍿Our Summary²⁰ (also below)

3. New AI from Google DeepMind called AlphaGeometry⁵⁴² nails solving super hard geometry problems. When tested on 30 past Olympiad problems, it solved 25 within the time limits. We're talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.🍿Our Summary¹⁹ (also below)

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TOP TOOLS

• Clay⁸²⁸ - An open-source AI model for Earth.

• Superhuman AI⁸⁶⁹ is now on iPhone & iPad, along with voice.

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NEWS

• Max your mind⁴⁶¹ - A cohort-based course to teach you how to meet your 2024 goals with ChatGPT.

• Kerry Washington²¹⁷ on connection, identity and AI.

• NextDoor launches multiple tools to use generative AI with local data.²⁷⁸

• Amazon brings its AI-powered image generator to Fire TV.²⁰⁵

• Vicarius lands $30M¹⁴⁶ for its AI-powered vulnerability detection tools.

• Sam Altman in chat with Axios²¹⁸ at WEF Davos.

• Samsung teases upcoming ‘Galaxy Ring’²²³ health tracker with AI.

• Ex Stability AI VP launches Fairly Trained¹³⁶, a non-profit to create a ‘fair trade’ label for AI.

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QUICK BITES

Samsung announces its new phones with AI features⁴⁷³ taking centre stage. The AI features are powered by Google’s Gemini models. A few are on-device, others via cloud. Hands-on¹⁶¹ with these features has some nice things, whereas others are still meh.

What is going on here?

Samsung’s new event was less about cameras and more about AI.

What does this mean?

Circle to Search stands out for speed and accuracy identifying objects. This visual search could be very convenient by eliminating steps. But it may get limited use if unavailable in private apps.

Chat Assist needs more work to sound natural rewriting messages. Its formal tone sounds robotic. Tone changes could prevent miscommunication if done naturally.

Live Translate has potential to ease language barriers in calls. But it adds confusion from lag, disrupting conversations. Faster performance is critical.

Note formatting aids in quickly structuring text visually. But text summarization lacks nuance currently, with disjointed bullet points. More coherence and insight would make this tool more powerful.

Why should I care?

These AI features address common needs, like easier communication or formatting assistance. But competition is fierce, and users expect polished, intuitive experiences. The success depends on two things a) how good is the AI and b) how easy are these features to use. Tech Youtuber MrWhoseTheBoss thinks that adding these features in common-use apps like Phone, Camera, Browser and Notes is the right move, compared to creating new specialized apps.

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QUICK BITES

There's a new AI from Google DeepMind called AlphaGeometry⁵⁴² that totally nails solving super-hard geometry problems. We're talking problems so tough only math geniuses who compete in the International Mathematical Olympiad can figure them out.

What is going on here?

AlphaGeometry is a complete game changer for how well AIs can logically reason through math concepts and come up with answers.

What does this mean?

The system combines a language model that makes intuitive guesses with a logic engine that methodically checks the step-by-step reasoning. AlphaGeometry was trained on 100 million automated examples of geometric proofs, so it learned complex geometry without any human input. When tested on 30 past Olympiad problems, it solved 25 within the time limits - nearly as many as the average human gold medalist. This is big progress for AIs learning advanced math skills by themselves.

Why should I care?

Advancing AIs' reasoning in technical areas like math is crucial for developing more general artificial intelligence. Systems like AlphaGeometry that can learn deep concepts without human hand-holding have huge implications across science. It builds on DeepMind's other Alpha models like AlphaGo and AlphaFold that pushed boundaries in games and protein folding. This approach

could help AIs unlock discoveries in all kinds of fields down the line. So while high-level math competitions seem niche, breakthroughs like AlphaGeometry bring us steps closer to advanced, adaptable AI that can expand humanity's knowledge.

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