Read Online | Sign Up | Advertise | | | Good morning, AI enthusiasts. We've known OpenAI and ex-Apple design guru Jony Ive have been building AI hardware since last May's $6.5B deal. What nobody knew was what the first device would actually be.
With new reporting revealing an upcoming smart speaker that can see, listen, and make purchases, the long-awaited collaboration is finally coming into focus — and it's heading straight for Amazon, Apple, and Google's turf. | | In today's AI rundown: | OpenAI's first AI device could be a smart speaker The Rundown Roundtable: Our AI use cases Self-host an n8n automation server in minutes AI startup's custom chip gives AI a 10x speed boost 4 new AI tools, community workflows, and more
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| | | | OPENAI | |  | Image source: Lovart / The Rundown |
| The Rundown: OpenAI-Jony Ive's first hardware product will reportedly be a $200-$300 smart speaker with a built-in camera and facial recognition for purchases, according to The Information — backed by a 200+ team aiming to ship it by early 2027. | The details: | The team formed when OAI acquired Ive's startup Io Products for $6.5B in May, bringing in Apple veterans to lead hardware, design, and supply chain. The speaker's camera will allegedly observe surroundings and "nudge (users) toward actions", with a Face ID-like facial recognition feature for purchases. AI-powered smart glasses are also planned, but won't hit production until at least 2028, with a smart lamp also created as a prototype. OAI staffers have butted heads with LoveFrom over slow revisions and secrecy, with Ive's firm handling designs and the devices team working on the hardware.
| Why it matters: OAI has never shipped a physical product, but the mystique surrounding Jony Ive has made its hardware a hotly anticipated launch. With Apple ramping up AI device plans and Amazon already rolling with Alexa+, OAI's window to define the category is shrinking fast — making the speaker a very important first swing. |
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| | TOGETHER WITH YOU.COM | | | The Rundown You wouldn't expect a new employee to know everything without onboarding, would you? The same concept goes for AI agents—and metadata is the key. | In this ebook, you'll learn: | | Get the Ebook. |
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| | THE RUNDOWN ROUNDTABLE | | | The Rundown: The Rundown Roundtable is a weekly feature where we poll members of The Rundown staff about how we use AI in our work and daily lives. | Rowan, Founder & CEO: As a fast-moving startup, many of our team's best ideas come from random Slack threads, but get lost and never fully hashed out. Instead of spending hours a day manually adding tasks to our databases, we used Notion's new Agents feature (rolling out soon for GA) and built an "AI Project Manager" that monitors Slack messages daily and logs tasks autonomously.
Shubham, Editor: I used Gemini to analyze my blood work covering some 100 parameters. It instantly extracted and categorized all—from cholesterol to iron levels—into a clear, structured table, identified subtle deviations (such as slightly elevated eosinophils) and explained the clinical significance of each in plain language. | Finally, it translated these data points into a personalized wellness roadmap, suggesting natural lifestyle adjustments to optimize health markers. | Jennifer, Tech & Robotics Writer: Over the past year, I've relied heavily on LLMs to support my French citizenship application— including drafting required letters and tracking paperwork. Although I'm already fluent, I used ChatGPT to prep for the required language exam to get familiar with the test format for 100% confidence. |
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| | AI TRAINING | | | The Rundown: In this guide, you will learn to set up your own n8n automation server — helping you run thousands of automations per month on n8n with just a $5 virtual server. Best of all, you can set it up in under 10 minutes. | Step-by-step: | Go to railway.com/deploy/n8n, sign in with GitHub, and click Deploy Now. You don't need to configure any variables. Click Deploy on the next screen After your automation server is deployed, click the n8n module, go to your custom link, and set up your email and password login Now, you can create a new automation by clicking Create workflow in your n8n dashboard — no need to set it up node-by-node Just ask Claude or ChatGPT to map out the automation you want as a JSON file. Then, in the new workflow, click the three dots, and import from file
| Pro tip: You can invite users via email to your n8n server. This makes it great for client- or team-specific projects. You can even save API keys in the server for others to use.
For more tips on n8n + AI, check out our AI Automations Course. |
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| | PRESENTED BY OZ | | | The Rundown: Individual AI productivity gains hit a ceiling fast — without orchestration, they don't scale across your org, and leadership has no way to measure impact or enforce security standards. Oz is the platform built to change that. | Oz's new report breaks down: | Why most companies fail at building their own agentic systems How teams save hours per engineer per day using agent automations What makes over 60% of agent-generated PRs actually achievable
| Download the free report. |
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| | TAALAS | |  | Image source: Taalas |
| The Rundown: AI chip startup Taalas just emerged with HC1, a custom chip built to run a single AI model and nothing else — delivering responses roughly 100x faster than today's standard hardware and 10x the SOTA for extreme speed in outputs. | The details: | Taalas' first chip permanently embeds Meta's Llama 3.1 8B model into the hardware rather than running it as software on general-purpose chips. The result is near-instantaneous AI responses, with messages coming back in under 100 milliseconds at a fraction of the power and cost of other systems. Llama 3.1 is small, older, and far from the frontier, but Taalas says it can retool chips for new models in just months — with a top-tier option planned by winter. The startup pulled in $169M in new funding this round, bringing its total above $200M — with a mid-size reasoning model expected this spring.
| Why it matters: The model baked into the first chip is far from competitive, but the tech itself is the story. The speed needs to be seen to be comprehended (demo here) — and if the approach scales to frontier models, it could change what's possible in areas like physical AI or agentic workflows where every millisecond matters. |
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| | | | | 🗣️Unwrap Customer Intelligence - Turn unstructured customer feedback into data-backed insights that inform your product roadmap* 💻 Claude in PPT - Anthropic's AI sidebar for building PowerPoint slides 🎥 Replit Animation - Create professional animated videos from text prompts ⚙️ Rork Max - Rork's AI-powered native iOS app builder
| *Sponsored Listing |
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| | | Sam Altman called concerns about ChatGPT's water usage "totally fake", arguing that creating AI may already be more energy-efficient than raising and 'training' a human.
Anthropic opened early access to Claude Code Security, a new tool that uses AI to detect hidden software vulnerabilities and suggest patches for human review. | Zyphra released ZUNA, an open-source AI trained on brain wave data that can clean up and reconstruct brain signals, an early step toward thought-to-text without surgery. | Pika Labs launched AI Selves, a new product that lets users create persistent AI clones that can post on social media, send messages, and interact across platforms. | Amazon's Kiro AI coding agent reportedly caused a 13-hour AWS outage in December after autonomously deciding to delete and recreate an environment. | OpenAI's Head of Codex posted he's 'beyond excited' for the coming weeks, and that current coding agents will be seen as "so primitive that it will be funny in comparison." |
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| | | | | 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 Gina T. in Minnesota: | "During a recent snowstorm, a big drift formed right behind my garage stall, and I couldn't get my car out. My husband was out of town, and I had never run the snowblower before. I went to the garage and took a picture of the back where all the controls were and loaded it into ChatGPT, and asked, "How do I start my snowblower?"
It identified the make and model, walked me through the steps on how to start the machine, and a few questions later, I was clearing my driveway!" | How do you use AI? Tell us here. |
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| | | | That's it for today!Before you go we'd love to know what you thought of today's newsletter to help us improve The Rundown experience for you. | | See you soon, | Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown | |
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