Apple reveals AI-powered iPhone 16

PLUS: OpenAI bets on drug discovery

Welcome, AI enthusiasts.

Apple just introduced its iPhone 16 with brand new Apple Intelligence (AI) features and a smarter, more capable Siri.

It’s clear that Apple is leaning heavily in AI, but is the hype deserved or does the new iPhone fall short? Let’s get into it…

In today’s AI rundown:

  • iPhone 16 gets AI superpowers

  • OpenAI backs new drug discovery startup

  • Box AI puts an API in front of your documents

  • AI generates ideas better than humans

  • 5 new AI tools & 4 new AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

APPLE

Image source: Apple

The Rundown: Apple just announced the brand new iPhone 16, built from the ground up with its latest A18 chip and the full suite of Apple Intelligence (AI) features designed to transform how users interact with their devices.

The details:

  • Writing Tools: AI can rewrite emails and notes, creates custom emojis for conversations, and edits anywhere you type.

  • Photos and Videos: AI instantly finds specific photos or videos based on natural language search.

  • Priority and Focus: AI summarizes emails and notifications to highlight what is important and surfaces prioritized notifications to keep you focused on what matters.

  • Visual Intelligence: With Apple’s new camera, on-device AI analyzes images without storing them and quickly connects to third-party tools like ChatGPT.

  • Siri: Apple’s virtual assistant can now better understand complicated natural language requests, pull in context to help answer questions, and take actions on your phone at your request.

Why it matters: This marks the next era for Apple and Siri, bringing generative AI capabilities directly to millions of users’ pockets. The tech giant is taking AI seriously, building multiple of its own models and glossing over both Google and ChatGPT as third-party tools.

TOGETHER WITH OCTOAI

The Rundown: OctoAI and The GenAI Collective are hosting an exclusive live roundtable on Tuesday, September 17th, featuring leading engineers building autonomous AI systems to drive enterprise productivity.

Join the event and get:

  • Insider tips from CrewAI, LlamaIndex, and other agent development leaders

  • Cutting-edge applications of AI agents in high-volume enterprise scenarios

  • Strategies for designing autonomous AI systems that boost real-world productivity

Register now to attend live or get the recording.

OPENAI

Image source: Chai

The Rundown: OpenAI and Thrive Capital recently backed Chai Discovery, a six-month-old AI biology startup founded by ex-OpenAI and Meta researchers that raised $30 million to develop AI models for drug discovery.

The details:

  • Chai’s AI model, Chai-1, predicts biochemical molecule structures, potentially speeding up drug development.

  • The company claims Chai-1 outperforms Google DeepMind’s AlphaFold on certain benchmarks.

  • Chai-1 can work with proteins, small molecules, DNA, and RNA, making it versatile for various applications.

  • Chai is making its first model free and open-source for non-commercial use.

Why it matters: Google DeepMind’s AlphaFold is the pinnacle of protein prediction models, and Chai is already giving it a run for its money. The more money flowing into drug discovery, the closer we get to curing major diseases using AI — and Chai is even open-sourcing its first model for the benefit of humanity.

AI TRAINING

The Rundown: Box AI now has an API that extracts useful metadata from your files, increasing data insights and boosting your productivity.

Step-by-step:

  1. Head over to the Box AI Developer Zone

  2. Scroll down to “Try out interactive demos” and select “Extract metadata”

  3. Choose one of the sample documents in the left pane

  4. Click “Extract” to collect the relevant metadata

Pro tip: You can learn how to automate this yourself in the box-community GitHub repo!

PRESENTED BY ZAPIER

The Rundown: ZapConnect 2024 is Zapier’s free-to-attend virtual AI conference where you can learn the latest on leveraging AI and automation.

Attend to learn about:

  • Zapier’s latest additions to its powerful automation suite through live, build-along workshops

  • First-hand insights into integrating AI and automation to help you optimize your workflows

  • How like-minded organizations and thousands of fellow automators think and build

Register to ZapConnect for free and take your AI automation game to the next level.

AI RESEARCH

Image source: arXiv

The Rundown: Researchers found that AI ideas are judged as more novel, though slightly less feasible, than those from human experts in a study comparing AI-generated research ideas in natural language processing (NLP).

The details:

  • Over 100 NLP researchers were recruited to write novel ideas and review both AI and human-generated ideas.

  • The ideas were evaluated blindly, meaning reviewers did not know which were AI-generated.

  • AI-generated ideas were rated as significantly more novel than human expert ideas, but less feasible.

  • The study also identified challenges in AI idea generation, including issues with self-evaluation and lack of diversity in outputs.

Why it matters: This is one of the biggest, most important questions surrounding AI — can it spark innovation and accelerate scientific discovery? The answer, according to this study, is a resounding yes.

NEW TOOLS & JOBS

  • 🎨 Meshy 4 - Convert text or 2D images into 3D assets

  • 🎥 Hailuo AI - Generates 720p, 6-second videos from text prompts

  • 🚀 Polymet - Design and develop your product ideas

  • 🧠 Focus Buddy - AI productivity coach for people with ADHD

  • 🤖 All Hands AI - Open-source AI agent to tackle developers ‘backlog’ tasks

  • 🎨 Twelve Labs - Interaction Experience Designer

  • 📊 Databricks - Business Operations Manager

  • 🔬 DeepL - Customer & User Researcher

  • 🧠 Meta - AI Research Scientist, Language - Core AI

QUICK HITS

Free tool: Custom GPT Creation Workbook. Create a product requirements doc that moves your custom GPT from conception to completion. Download here.*

Audible announced plans to create AI voice replicas of select US-based audiobook narrators, including a royalty-sharing model for AI-narrated books.

Oscar-nominated studio XTR acquired AI animation studio Late Night Labs, launching Asteria Film Co. to produce AI-powered animations.

BP signed a five-year deal with Palantir to expand AI use in its operations, aiming to speed up engineer decision-making with LLMs.

Roche expanded its digital pathology open environment, integrating over 20 AI algorithms from eight new collaborators to enhance cancer diagnostics and research.

Researchers introduced Robot Utility Models (RUMs), a zero-shot method for training robot policies that can perform new tasks in unfamiliar environments.

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