Apple taps Gemini for Siri overhaul

Good morning, AI enthusiasts. After years of delays, Apple seems to have finally picked a lane for its Siri AI overhaul — with one among its biggest rivals stepping in as a “behind-the-scenes” partner.

A reported $1B annual deal brings Google’s Gemini under the voice assistant’s hood, making the anticipated Spring release a seemingly make-or-break moment for the tech giant’s already messy AI situation.

In today’s AI rundown:

• Apple taps Google’s Gemini for Siri overhaul

• Ex-Meta designers launch Stream Ring AI wearable

• Use AI to search out patents and innovation opportunities

• Edison Scientific debuts Kosmos AI scientist

• 4 recent AI tools, community workflows, and more

LATEST DEVELOPMENTS

APPLE & GOOGLE

📱 Apple taps Google’s Gemini for Siri overhaul

The Rundown: Apple reportedly finalized plans to deploy a custom 1.2T parameter version of Google’s Gemini model for its long-delayed Siri overhaul, in line with Bloomberg — committing roughly $1B annually to license the technology.

The small print:

• Gemini will handle summarization and multi-step planning inside Siri, running on Apple’s Private Cloud Compute infrastructure to maintain user info private.

• Apple also trialed models from OpenAI and Anthropic, with the 1.2T parameter count far exceeding the 150B utilized in the present Apple Intelligence model.

• Bloomberg said the partnership is “unlikely to be promoted publicly”, with Apple intending for Google to be a “behind-the-scenes” tech supplier.

• The brand new Siri could arrive as soon as next Spring, with Apple planning to make use of Gemini as a stopgap while it builds its own capable internal model.

Why it matters: After years of delays and uncertainty around Siri’s upgrade, Gemini is the model set to bring the voice assistant into the AI world (a minimum of in some capability). Apple views the move as temporary, but constructing its own solution, considering the corporate’s struggles and worker exodus, actually doesn’t feel like a given.

TOGETHER WITH VANTA

⚠️ Knowledge gaps = security gaps

The Rundown: AI is moving faster than security teams can sustain — and 59% say AI risks outpace their expertise. Vanta’s recent State of Trust report surveyed 3,500 business and IT leaders across the globe to disclose how organizations are navigating this growing gap.

The information reveals:

• 61% of teams spend more time proving security than improving it

• AI-driven attacks are growing larger, faster, and more sophisticated

• Nearly half of leaders say AI gives them time for strategic security work

Download the State of Trust report to see what early adopters are doing to remain ahead.

SANDBAR

💍 Ex-Meta designers launch Stream Ring AI wearable

The Rundown: Sandbar, a startup founded by former Meta designers, launched Stream Ring — an AI wearable that captures whispered thoughts through a hoop device and transcribes voice into organized notes while also doubling as a music controller.

The small print:

• Cofounders Mina Fahmi and Kirak Hong developed the ring after working on neural interfaces at CTRL-Labs, which was acquired by Meta in 2019.

• Users activate recording by holding a touchpad relatively than shouting wake words, with whisper-detection microphones converting speech to text.

• The AI assistant responds in a synthesized version of the wearer’s voice using ElevenLabs speech technology, enabling back-and-forth conversation.

• The Stream Ring is on the market for preorder starting at $249 (plus a $10 subscription model), with a planned summer 2026 delivery.

Why it matters: One other wearable has entered the sector, with the Stream Ring continuing the infusion of AI voice tech across form aspects, joining pendants, pins, and more. Simplicity could also be a differentiator, but there isn’t a shortage of competition from each other wearables and hardware like earbuds getting AI upgrades of their very own.

AI TRAINING

 🔎 Use AI to search out patents and innovation opportunities

The Rundown: On this tutorial, you’ll learn the right way to use Perplexity’s AI-powered search to quickly find patents, analyze innovation gaps, and position your invention without infringement risk.

Step-by-step:

1. Go to Perplexity and search naturally: “Are there any patents related to AI automations?” – Perplexity robotically prompts Patent Research (beta), showing relevant filings, owners, and dates

2. Refine with conversational queries: “Find lively patents for AI-driven industrial automation and model drift detection”, then follow up with “Summarize principal claims” or “Show whitespace on this field”

3. Toggle on Agent Mode for advanced evaluation – the AI robotically retrieves patents from multiple jurisdictions, creates tables, and builds visualization charts (showing “12 steps accomplished”)

4. Review generated PNG charts showing patent clusters and risk zones, plus CSV files with patent IDs, titles, owners, and claims – discover which corporations dominate and where opportunities exist

5. Use results to tell product design by identifying saturated areas to avoid, high-opportunity/low-risk zones for innovation, and specific technologies or claims requiring caution

Pro tip: Start with a broad query to capture the complete patent landscape. Then iterate: ask the agent to list patents by company, summarize claims, or visualize whitespace.

PRESENTED BY SYNK

💡 How Vibe Coding is changing secure development

The Rundown: AI coding tools are boosting productivity, but they’re also introducing recent security concerns. Join Snyk’s live session on Nov. 20 at 11 AM ET to learn the right way to embed security in GenAI-powered development workflows before vulnerabilities make it to production.

Snyk Staff Developer Advocate Sonya Moisset will cover:

• Methods to spot security vulnerabilities hidden in AI-generated code

• Secure coding best practices tailored for GenAI workflows

• Strategies for constructing AI-native apps with security from the beginning

Register now. Plus, ISC2 members will earn 1 CPE credit for attending live!

AI RESEARCH

🧪 Edison Scientific debuts Kosmos AI scientist

The Rundown: Futurehouse just announced the launch of its business spinout Edison Scientific, alongside the debut of Kosmos — an autonomous AI research system that beta testers report can complete six months of scientific work in a single day.

The small print:

• Kosmos coordinates cycles of literature review, data evaluation, and hypothesis generation, processing 1,500 papers and executing 42k lines of code per run.

• All of Kosmos’ generations maintain full citation traceability for each claim, making it easily auditable all the way down to specific lines of code.

• 79% of Kosmos’ outputs were validated as accurate, with the AI reproducing unpublished findings and making recent discoveries across multiple fields.

• Edison Scientific will commercialize the platform following pharma demand, while FutureHouse continues nonprofit foundational research development.

Why it matters: Edison Scientific says the “era of AI-accelerated science is here,” with Kosmos continuing the trend of AI models removing the human-bandwidth limitation for research and evaluation. These timeline-compressing abilities are set to completely transform the pace of progress across scientific domains.

QUICK HITS

🛠️ Trending AI Tools

• 🧪 Kosmos – Edison Scientific’s next-generation AI scientist

• 🗺️ Codemaps – Windsurf’s coding tool to grasp & navigate codebases

• 🎥 Sora App – OpenAI’s AI video platform, now available for Android users

• 🧭 Google Maps – Latest Gemini integration for conversational assistance

📰 The whole lot else in AI today

OpenAI said it now has 1M+ business customers, becoming the fastest-growing platform in history, with ChatGPT for Work growing 40% in two months to 7M+ seats.

Stability AI won a UK High Court case against Getty Images over trademark infringement related to AI training, with Getty saying the ruling shows that even well-resourced corporations “face significant challenges in protecting their creative works.”

xAI reportedly required employees to submit biometric data to coach its “Ani” and other AI companions, telling staff the gathering was a compulsory job requirement.

Google integrated its Gemini AI into Maps, enabling conversational navigation, multi-step questions, and directions based on visible buildings as a substitute of just distances.

Famed ‘Big Short’ investor Michael Burry disclosed over $1B in put options against Nvidia and Palantir, following cryptic social media warnings about an AI bubble.

Snap is partnering with Perplexity to integrate its AI into Snapchat starting in 2026, with Perplexity paying $400M to succeed in the platform’s nearly 1B monthly users.

COMMUNITY

🤝 Community AI workflows

Every newsletter, we showcase how a reader is using AI to work smarter, save time, or make life easier.

Today’s workflow comes from reader Elaine in Toronto, Canada:

“I’ve found an easy but powerful method to learn from The Rundown AI. Every single day, you feature a user story — and as a substitute of just reading it, I copy their experience straight into ChatGPT and ask the model to show me the right way to do the identical, step-by-step. It appears like recreating a mini experiment every morning. Over time, this has turn into my favorite method to learn: turning other people’s discoveries into my very own hands-on lessons.”

How do you employ AI? Tell us here.

🎓 Highlights: News, Guides & Events

• Read our last AI newsletter: Google’s AI space moonshot

• Read our last Tech newsletter: This startup desires to edit embryos

• Read our last Robotics newsletter: Why LLMs aren’t ‘robot-ready’

• Today’s AI tool guide: Use AI to look patents & find opportunities

• RSVP to next workshop @ 4PM EST Friday: AI foundations for marketers

See you soon,

Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown