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OpenClaw craze comes to robots
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Good morning, robotics enthusiasts. China can’t get enough of OpenClaw. The open-source AI agent that colonized laptops is now leaping into robots — powering Unitree humanoids, brand-new home bots, and industrial arms that respond to spoken commands.
Beijing loves the momentum, but not everyone is convinced OpenClaw is ready for physical AI.
In today’s robotics rundown:
China is wiring robots with OpenClaw
Amazon nabs stair-climbing bot startup Rivr
Unitree’s IPO will test the humanoid hype
This home robot cleaner comes with a human
Quick hits on other robotics news
LATEST DEVELOPMENTS
OPENCLAW
🦞 China is wiring robots with OpenClaw

Image source: Ideogram / The Rundown
The Rundown: OpenClaw, the open-source AI agent taking over laptops, is now being integrated into robots in China — and Beijing regulators are already worried that it could expose data or behave unpredictably, Business Insider reports.
The details:
Developers are integrating OpenClaw into Unitree’s G1, enabling it to interpret natural language commands and navigate physical spaces in real time.
Chinese robotics giant Ecovacs just unveiled a home bot dubbed Bajie, powered by OpenClaw, at a consumer electronics expo in Shanghai.
AgileX Robotics published a guide for integrating OpenClaw with its Nero 7-axis robotic arm, letting users steer it through plain-language commands.
Regulators and state media have warned that OpenClaw can expose private data, trigger cyber risks, or take the wrong action if it gets too much access.
Why it matters: China has already surpassed the U.S. in OpenClaw adoption, and the gap is widening as Beijing pushes to diffuse AI across 90% of industries by 2030. But robots are a different category of risk than laptops, and Beijing warns that the same autonomy that makes OpenClaw useful also makes it risky.
AMAZON & RIVR
📦 Amazon nabs stair-climbing bot startup Rivr

Image source: Rivr
The Rundown: Amazon just scooped up Rivr, the Zurich-based startup behind a stair-climbing delivery robot, to push deeper into doorstep logistics and physical AI. The terms of the deal were not disclosed.
The details:
Rivr CEO and founder Marko Bjelonic called Rivr a “dog on roller skates,” a quirky shorthand for its four-legged, wheeled delivery bot built for city streets.
The company had already been working with Veho on a pilot in Austin last year, with Bjelonic saying he hoped to grow the fleet to 100 bots by 2026.
Amazon was already in Rivr’s corner, backing its 2024 seed round; the startup had raised $25M in total and was last valued at $100M.
Why it matters: Rivr gives Amazon a ready-made last-mile robotics testbed, but the bigger question is whether it can turn a niche delivery-bot startup into a scalable edge over rivals like Serve or Coco. For Amazon, the acquisition could shave time and labor off the hardest part of delivery: stairs, curbs, and the final stretch to the door.
UNITREE
🔥 Unitree's IPO will test the humanoid hype

Image source: Unitree
The Rundown: Chinese robotics startup Unitree filed for a Shanghai IPO seeking about 4.2B yuan, or $610M, in a move that will test investor appetite for humanoids as the company’s revenue and shipments continue to surge.
The details:
Unitree says its revenue jumped 335% in 2025, reaching about $247M, as investor interest in robotics and humanoids accelerated.
Humanoids alone have become the company’s main revenue driver, accounting for 51.5% of sales in the first nine months of 2025.
Unitree said it shipped 5,500 humanoids in 2025 and more than 30K quadruped robots since 2022.
The company has been a key U.S. focal point because its low-cost robot dogs have been bought by universities, police departments, and even the U.S. Army.
Why it matters: Unitree’s IPO will be an early test of whether or not humanoids will attract real industrial demand, even as the company has scaled back from the earlier $7B valuation it once sought. It will also show how much investor capital is still flowing into embodied AI in China, even as the business case remains unproven.
X SQUARE ROBOT
🧹 This home robot cleaner comes with a human

Image source: X Square Robot / X
The Rundown: Shenzhen-based startup X Square Robot teamed up with Chinese services platform 58 to launch what they are calling China’s first consumer home-cleaning robot service — one that pairs a robot with a human cleaner on every job.
The details:
Customers booking via the app are met by a human cleaner plus a robot, with the human handling deep cleaning and the robot doing repetitive chores.
The Shenzhen rollout is a live pilot; both companies say they’ll expand to additional cities if the hybrid model proves out.
X Square Robot raised about $140M in its January A++ round, while its total funding was reported as about $410M, at a reported $1.37B valuation.
The robot’s domestic clips — tidying litter boxes and the like — have already circulated on X, with X Square promising more robot skills coming soon.
Why it matters: The Shenzhen pilot is a real-world test of whether embodied AI can move from demo videos into paid home service, not replacing human cleaners but working alongside them. If the hybrid model works, it’s a way to get robots into homes without requiring them to handle the full complexity of domestic work on their own.
QUICK HITS
📰 Everything else in robotics today
China built a fingernail-sized atomic clock that could make drones and other military systems navigate more accurately without GPS.
Xpeng created a robotaxi unit to speed up commercialization, with passenger-carrying demo operations planned for the second half of 2026.
CATL is testing a mobile robot that drives to your parked EV and charges it, so drivers do not need to find a fixed charging station.
Zhuoyu Technology, the DJI spinout focused on autonomous driving, is reportedly raising about $290M in funding ahead of a planned Hong Kong listing.
Swarmer, an AI drone software startup, surged more than 1,200% in two days after its IPO, fueled by investor excitement around defense-tech and AI.
Waymo said its robotaxis have passed 170M miles and are involved in 92% fewer serious-injury crashes than human drivers.
A humanoid’s dance performance went off script at a Cupertino Haidilao hot pot restaurant, knocking dishes and utensils around before staff restrained it.
California-based startup RoboForce raised $52M to scale and commercialize its Titan robot, taking its total funding to $67M.
UBTech partnered with Siemens to use digital manufacturing tools to scale humanoid production toward 10K units a year by 2026.
Researchers in Japan built a tomato-harvesting robot that predicts how easy each fruit is to pick and adjusts its approach, boosting success to 81%.
COMMUNITY
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: Elon Musk's 'Terafab' AI chip factory
Read our last Tech newsletter: Amazon’s secret phone project
Read our last Robotics newsletter: Nvidia’s move to own the robot future
Today’s AI tool guide: Use Google Stitch to redesign your entire website
RSVP to next workshop on March 26 @ 2PM EST: Intro to Vibe Coding pt. 3
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — The Rundown’s editorial team

Elon Musk's 'Terafab' AI chip factory
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Good morning, AI enthusiasts. Elon Musk already runs the world's biggest EV factory, the world's busiest rocket company, and a $100B+ AI startup. Now, he’s adding cutting-edge chip fabrication to the list to tie them all together.
His new Terafab project between Tesla, SpaceX, and xAI aims to produce 50x the world’s current global compute per year, most of it deployed on AI satellites in orbit — in what Musk called the first step toward a "galactic civilization."
In today’s AI rundown:
Musk’s new $25B ‘Terafab’ AI chip project
The Rundown Roundtable: Our AI use cases
Use Google Stitch to redesign your website
Halter's AI ‘Cowgorithm’ nears $2B valuation
4 new AI tools, community workflows, and more
LATEST DEVELOPMENTS
TESLA, SPACEX, & XAI
🚀 Musk’s new $25B ‘Terafab’ AI chip project

Image source: xAI livestream
The Rundown: Elon Musk just unveiled Terafab, a new Tesla-SpaceX-xAI chip facility that aims to produce a terawatt of AI compute per year, or roughly 50x what the entire world outputs today — calling it "the most epic chip building exercise in history by far."
The details:
Musk's Austin facility would handle logic, memory, packaging, and testing, a vertical integration he said exists nowhere else.
Two chip types are planned: one for Tesla vehicles and Optimus robots, another space-grade chip for solar-powered AI satellites launched via Starship.
Musk said "no one wants AI computing centers in their backyard", expecting space-based compute to undercut ground costs within 2-3 years.
Musk also pitched the Terafab as the first step towards a “galactic civilization”, with a post-scarcity economy that provides “abundance for everyone”.
Why it matters: With the film Project Hail Mary trending (great flick), it feels like the perfect weekend for Elon to pitch one of his most sci-fi visions yet. Building a fab on this scale from scratch is an enormous bet, but the need for AI chip scaling is a real one — and Musk has made a career out of ignoring what the industry says can’t be done.
TOGETHER WITH YOU.COM
📊 Does your AI search provider stack up?
The Rundown: Most teams pick a search provider by running a few test queries and hoping for the best—a recipe for hallucinations and unpredictable failures. This technical guide from You.com gives you access to an exact framework to evaluate AI search and retrieval.
What you’ll get:
A four-phase framework for evaluating AI search
How to build a golden set of queries that predicts real-world performance
Metrics and code for measuring accuracy
Go from “looks good” to proven quality. Learn how to run an eval.
THE RUNDOWN ROUNDTABLE
💡 The Rundown Roundtable: Our AI use cases

Image source: Lovart / The Rundown
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.
Darren, Director of Media: For a recent video, I needed to animate a visual representation of this ancient board game. Doing that manually in After Effects would've taken a few hours, so instead I described the rules of the game to Claude and asked it to generate an interactive SVG animation.
After a few rounds of tweaking, I was able to screen-record the result, and it worked great for the video.
Jennifer, Tech & Robotics writer: When my sixth-grade daughter needs math help, I sometimes feel a bit lost myself. Some of the teaching methods have changed since I was a kid, and I don’t always have time to dig through her textbooks.
So I use ChatGPT to walk me through problems step by step — in French, since that’s how she learns — so I can actually explain them to her in a way that makes sense.
AI TRAINING
🎨 Use Google Stitch to redesign your entire website
The Rundown: In this guide, you will learn how to use Google Stitch to redesign an existing web page by uploading screenshots. This is a very fast way to fix weak layouts, generate better variations, and create something you can hand off to a developer.
Step-by-step:
Pick a single page on your website that needs improvement. Take a screenshot and think about the specifics of what needs to be changed
Go to Google Stitch, add the screenshot in chat, and prompt: “Improve the layout of this page so the user sees more content and perceives more value. Make the content more accessible and reduce the dead space”
Select the generated page > Generate > Variations > Generate Variations to have four new page concepts. Choose the best one, and go to More > Export
Once you export the design to Figma or download the new code, you can rinse and repeat this process with as many pages as you like in the same canvas
Pro tip: Click Export > AI Studio to build a live prototype with Google’s vibe coding tool.
PRESENTED BY LOVABLE
📊 From idea to polished deck in minutes
The Rundown: Lovable for Slides uses AI to generate stunning slides, scripts, and audio narration — no design skills required. Whether it's an investor pitch, client proposal, or quarterly review, just describe what you need, and Lovable handles the rest.
Key highlights include:
Create presentation-ready decks in under 10 minutes with simple prompts
Upload existing slides and let AI transform them into polished, professional formats
Auto-generate speaker scripts and audio narration alongside your deck
Try Lovable for Slides and skip the hours of slide formatting.
AI & AGTECH
🐮 Halter's AI ‘Cowgorithm’ nears $2B valuation

Image source: Halter
The Rundown: New Zealand’s Halter is reportedly nearing a new round led by Peter Thiel’s Founder’s Fund that would value the startup at $2B — with its ‘Cowgorithm’ collars using AI in agriculture to track, herd, and modernize pasture management.
The details:
Halter's solar-powered collars create virtual fences and let ranchers herd cattle remotely via app using vibration and audio cues.
Collars send 6,000+ data points per minute to Halter's proprietary AI, which it calls the ‘Cowgorithm’, to track health and optimize grazing.
The round would double Halter's valuation from roughly $1B after a $100M raise last June, with investor demand leaving the deal oversubscribed.
Founded on a 300-cow NZ dairy farm, Halter has collected 7B+ hours of animal behavior data and is now expanding into the US market.
Why it matters: Some of the biggest AI unlocks might be coming in industries that haven’t materially changed in centuries. Halter replaces physical fences, manual herd checks, and more with real-time data, a collar, and an app — bringing practical modernization to an old-school process. Plus, ‘Cowgorithm’ is an excellent name.
QUICK HITS
🛠️ Trending AI Tools
🧠 Adapt - Slack-native AI for your team. Up to $500 in free credits for new users*
🚀 Claude - Now with Cowork Projects, Claude Code channels, and Dispatch
⚙️ Composer 2 - Cursor’s powerful, cost-effective coding model
🤖 ASMR - Supermemory's experimental agent memory system
*Sponsored Listing
📰 Everything else in AI today
Cursor revealed that its Composer 2 model was built on top of Kimi K2.5, coming after the company faced backlash over failing to include the detail in its release.
Anthropic rolled out Projects in its Claude Cowork, allowing users to import their existing web-based Claude projects or create them to use on the desktop app.
The White House released its AI policy blueprint for Congress, aiming to block states from writing their own AI laws while keeping federal oversight across existing agencies.
OpenAI is reportedly planning to nearly double its workforce from 4,500 to 8,000 by the end of 2026 amid the company’s increasing enterprise AI focus.
A U.S. man pleaded guilty to an AI music fraud that earned him $1.2M/year by generating fake tracks and inflating their play counts, now facing five years in prison.
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 Chris P. in Europe:
"I’m a Senior Manager in the public sector exploring a move into big tech, but I had no clear sense of how my experience translated or what level to target. I started using ChatGPT, Gemini, and Claude as a career consultant—refining my CV, aligning it to roles, and running mock interviews.
The biggest surprise was salary guidance. One role had almost no data online, with Glassdoor estimating around €80k–€100k. ChatGPT suggested €120k–€140k based on my experience. I gave that range as expectation, and the recruiter confirmed the salary was €130k. It’s now my go-to consultant for career advice."
How do you use AI? Tell us here.
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: How 81k people really feel about AI
Read our last Tech newsletter: Amazon’s secret phone project
Read our last Robotics newsletter: Nvidia’s move to own the robot future
Today’s AI tool guide: Use Google Stitch to redesign your entire website
RSVP to next workshop on March 26 @ 2PM EST: Intro to Vibe Coding pt. 3
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown


Amazon's secret phone project
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Good morning, tech enthusiasts. Amazon is reportedly building a phone again — yes, after the Fire Phone fiasco.
A year-old internal team, a veteran Microsoft exec, and a codename that hints at something transformative: the company that torched millions on a smartphone flop is taking another shot at your pocket. The twist? It may not even be trying to compete with the iPhone.
In today’s tech rundown:
Amazon is making a smartphone again
Uber and Rivian team up to build 50K robotaxis
New startup to mine asteroids by bagging them
CRISPR could make cancer treatment a one-shot deal
Quick hits on other tech news
LATEST DEVELOPMENTS
AMAZON
📱 Amazon is making a smartphone again

Image source: Reve / The Rundown
The Rundown: Amazon is developing a new smartphone, reviving a category it abandoned after its first attempt, the Fire Phone, flopped more than a decade ago, Reuters reports.
The details:
The device, codenamed “Transformer,” is designed to sync with Alexa and serve as an always-on conduit to Amazon’s services ecosystem.
The project is reportedly led by a year-old internal group called ZeroOne, headed by J Allard, the former Microsoft exec behind the Zune and Xbox.
The Fire Phone launched at $649, got reduced to $159, and was killed after 14 months, leaving Amazon with a $170M charge tied largely to unsold inventory.
Apple and Samsung still own roughly 40% of global sales, and the market is heading for its worst year ever, with shipments expected to drop 13% in 2026.
Why it matters: Amazon is reportedly exploring both a full smartphone and a pared-down dumbphone — with the minimalist Light Phone as reference — suggesting it may be targeting the screen-time backlash as a way into a market Apple and Google have locked up. Either way, it’s a bet that Alexa can finally earn a place in your pocket.
TOGETHER WITH FIN
📅 Join a major Fin product announcement
The Rundown: Join a major product announcement for Fin, the #1 AI Agent for Customer Service, live from Paris. Hear from CPO Paul Adams on how Fin’s latest capabilities help deliver perfect customer experiences.
At the event, you’ll hear:
How AI Agents help make perfect customer experiences possible
Deep-dives into how Fin delivers best-in-class AI customer service.
Real examples of success from companies like Glean.
UBER & RIVIAN
🚖 Uber and Rivian team up to build 50K robotaxis

Image source: Rivian
The Rundown: Uber is making a $1.25B bet on California EV maker Rivian’s upcoming R2 as a robotaxi platform — a deal that could put up to 50K autonomous SUVs on its network by 2031.
The details:
Uber is putting up to $1.25B into Rivian in a deal that ties the ride-hailing giant directly to the EV maker’s next-gen R2 platform.
The first 10K vehicles are slated for San Francisco and Miami in 2028, with the service expanding to about 25 cities across the U.S., Canada, and Europe.
The R2s autonomy hardware reportedly includes 11 cameras, five radars, one lidar, and Rivian’s in-house RAP1 chip capable of 1,600 TOPS of AI compute.
Rivian has yet to begin R2 production; the robotaxi variant is slated to be built at the company’s Georgia factory, which is still under construction.
Why it matters: Uber has already partnered with some 25 autonomous vehicle companies, including Waymo and Zoox, but Rivian’s pitch is vertical integration: one company controlling the vehicle, compute, software, and U.S. manufacturing. The stakes are high: the R2 hasn’t rolled off a line, and the deal’s timeline runs to 2031.
TRANSASTRA
☄️ New startup to mine asteroids by bagging them

Image source: TransAstra / YouTube
The Rundown: A NASA-backed Los Angeles startup thinks the best way to mine an asteroid is to put it in a giant bag. TransAstra is developing an inflatable bag designed to capture small near-Earth asteroids whole, with no landing or drilling required.
The details:
The idea is to capture a small asteroid, stabilize it, and tow it into a safer orbit where it can be handled more like a resource depot.
TransAstra says “bag it first” could avoid asteroid mining’s challenges, such as syncing with a rock’s motion and working on a spinning, irregular surface.
TransAstra says it has already tested pieces of the system in microgravity on the ISS, enough to claim (very) early and partial proof-of-concept.
An undisclosed customer is funding a feasibility study to capture and relocate a house-sized asteroid weighing around 100 metric tons, according to TransAstra.
Why it matters: Near-Earth asteroids are loaded with water and metals that could presumably fuel and supply deep-space missions — if anyone can actually get to them. TransAstra’s competitors include AstroForge, Karman+, Origin Space, and Asteroid Mining Corporation. The field is small, but the race is on.
BIOTECH
🧬 CRISPR could make cancer treatment a one-shot deal

Image source: Ruslanas Baranauskas / SPL
The Rundown: Researchers just used CRISPR to engineer cancer-fighting immune cells directly inside living mice, marking a major step toward replacing today’s slow, expensive CAR-T manufacturing process with a single injection.
The details:
CAR-T therapy works by extracting a patient’s T cells, reprogramming and reinfusing them — a costly, time-consuming process that requires chemotherapy.
Engineering T cells directly in the body would sidestep that process, enabling a single off-the-shelf therapy that could work for many patients.
The research, published in Nature, is still in mice and remains a proof-of-concept, but points toward a more scalable route for CAR-T-style treatments.
The researchers added extra safety layers because editing cells directly in the body raises the risk of hitting the wrong cells.
Why it matters: CAR-T therapy has produced remarkable results in blood cancers, but its complexity keeps it out of reach for many patients. Engineering those same cells inside the body — no lab, no chemo prep, and potentially one injection — could change that calculus. The study is still new, and significant hurdles remain before human trials.
QUICK HITS
📰 Everything else in tech today
The U.S., Germany, and Canada disrupted four major botnets that infected more than 3M devices worldwide and were used for massive DDoS attacks.
Supermicro’s co-founder was charged with helping smuggle up to $2.5B worth of AI servers equipped with Nvidia GPUs to China.
Apple’s head of home hardware, Brian Lynch, is leaving to join Finnish smart ring maker Oura as its senior vice president of hardware engineering.
Meta launched Creator Fast Track, a 3-month program that pays eligible TikTok, YouTube, and Instagram creators to post on Facebook and grow its creator base.
HSBC is reportedly considering cutting up to 20K jobs over the next few years as it uses AI to reshape middle- and back-office operations.
Jeff Bezos’s space firm Blue Origin is now seeking permission to launch nearly 52K AI-capable satellites as part of a push to build data center infrastructure in space.
Meta is opening a flagship retail store, called Meta Lab, on Fifth Avenue in Manhattan, after signing a 10-year lease for a five-story, 15K-square-foot building.
Google is adding a new “advanced flow” for sideloading apps from unverified Android developers, including a 24-hour waiting period as part of its broader verification push.
Amazon is rolling out one-hour and three-hour delivery options in the U.S. for more than 90K items.
Bluesky announced a $100M Series B funding round following the news that CEO Jay Graber stepped down.
COMMUNITY
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: How 81K people really feel about AI
Read our last Tech newsletter: China greenlights commercial brain implant
Read our last Robotics newsletter: Nvidia’s move to own the robot future
Today’s AI tool guide: Use Replit’s Tasks feature to improve your site
RSVP to next workshop on March 26 @ 2PM EST: Intro to Vibe Coding pt. 3
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — The Rundown’s editorial team

How 81K people really feel about AI
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Good morning, AI enthusiasts. AI keeps tanking in public opinion polls, but Anthropic’s new data shows the answer is a lot more nuanced than a simple "thumbs down."
Using Claude itself as the interviewer, Anthropic collected 80K+ conversations across 70 languages in one week. The finding that stood out: most people aren't choosing sides between hope and fear… They're carrying both.
In today’s AI rundown:
Anthropic surveys 81k people on AI hopes, fears
Cursor’s coding model cuts costs near the frontier
Use Replit’s Tasks feature to improve your site
Microsoft AI’s image model climbs leaderboards
4 new AI tools, community workflows, and more
LATEST DEVELOPMENTS
AI RESEARCH
📊 Anthropic surveys 81k people on AI hopes, fears

Image source: Anthropic
The Rundown: Anthropic just released what it says is the biggest qualitative AI attitudes study ever, using Claude to interview 81k of its users across 159 countries about where they think the tech is headed and what scares them about getting there.
The details:
Anthropic introduced Claude Interviewer in December, building a special version of Claude that ran open-ended conversations in 70 languages.
Professional excellence was the top-reported hope, with freeing up time, financial independence, and broader life management frequently mentioned.
Fear of AI getting things wrong outranked every other concern, with job anxiety, losing personal agency, and over-reliance close behind.
AI sentiment varied by region: India and South America skewed above average, while the U.S., Europe, Japan, and South Korea ran neutral or below.
Why it matters: AI's favorability numbers have cratered in mainstream polls, but Anthropic's study adds nuance that those surveys miss. Almost as notable is Claude running 80K in-depth interviews across 70 languages in a single week, a wildly strong proof of concept for the tech as a research tool that simply didn’t exist a year ago.
TOGETHER WITH NORTON NEO
🌐 The browser built for the AI agent era
The Rundown: Norton Neo is the first AI-native browser designed to be powerful, productive, and private by default — combining intelligent assistance with built-in protection so you don't have to trade privacy for productivity.
With Norton Neo, you can:
Search across tabs, history, and the web from one universal bar
Research and write side-by-side with built-in Split View multitasking
Security is embedded at the core, with a built-in VPN powered by Norton
Try Norton Neo and experience the future of browsing.
CURSOR
⚙️ Cursor’s coding model cuts costs near the frontier

Image source: Cursor
The Rundown: Anysphere, the company behind AI code editor Cursor, just shipped Composer 2, a third-generation in-house model that is competitive with frontier coding models from OpenAI and Anthropic at a fraction of the cost per task.
The details:
Composer 2 topped Opus 4.6 on the independent Terminal-Bench 2.0 (61.7% vs 58%) and sits within 5 points of GPT-5.4 on Cursor's own CursorBench.
At $7.50/M output tokens on its fast tier, Composer 2 costs roughly 1/10th of GPT-5.4 and 1/20th of Opus 4.6 at comparable speeds.
Composer’s scores on the company’s internal CursorBench have climbed from 38% to 61.3% across three model generations shipped since October.
Why it matters: Cursor quickly went from harnessing other top AI models to building one of its own at this price point. Nearing the frontier as an application-layer company is an impressive feat, and the speed, cost, and performance of Composer 2 could change the math for developers paying full price for coding with GPT-5.4 or Opus 4.6.
AI TRAINING
⚙️ Use Replit’s Tasks feature to improve your site
The Rundown: In this guide, you will learn how to use Replit's Tasks feature to improve an existing site without messing up your already working app, making it easier to keep isolated fixes from piling on top of each other and make real progress on your app.
Step-by-step:
Go to Replit, drop in your app idea, and hit Plan. If you already have an app, open that instead. You will need at least a Replit core plan to try this feature
Once in your project, click the plus button on the left, create a task for a fix like mobile optimization, and prompt: “Make dashboard and all components mobile responsive. Use different components for mobile if not possible”
While it's planning, queue a second task in parallel, try something like improving the landing page design, cleaning up the nav bar, or a bug fix
Once task planning is done, start them. You can preview each task, and when they finish, click Apply Changes to Main Version to update the production app
Pro tip: Toggle your main agent into plan mode and tell it the improvements you want. It will generate a PRD. Then, divvy up that PRD into new parallel tasks.
PRESENTED BY OPTIMIZELY
🧪 Scale experimentation without scaling headcount
The Rundown: Most experimentation teams have hit a wall — headcount is maxed and testing capacity has stalled. Optimizely's upcoming webinar shows how leading teams are using AI agents across the full experimentation workflow to scale programs without adding to the team.
The April 1st session will cover:
How AI agents add value across every stage of the experimentation lifecycle
Real use cases from the leader behind Farfetch's award-winning program
Practical strategies to scale testing across your organization without growing your team
Register for April 1st at 10 am ET. Can't join live? Register anyway to receive the recording.
MICROSOFT
🎨 Microsoft AI’s image model climbs leaderboards

Image source: Microsoft
The Rundown: Microsoft's AI Superintelligence team just released MAI-Image-2, a text-to-image model that landed at No. 5 on the Arena AI leaderboard — marking the strongest release yet for Mustafa Suleyman’s lab.
The details:
Arena.ai ranked MAI-Image-2 at No. 5 overall, trailing just Gemini (several variants) and GPT Image-1.5 with strong upgrades in photorealism, 3D, and art.
The biggest jump from its predecessor came in text rendering, up 115 points, with drastically improved performance on posters, slides, and infographics.
MAI-Image-2 is free to try in Microsoft's MAI Playground for U.S. users, with Copilot, Bing, and API access on its Foundry platform rolling out soon.
The release comes amid Microsoft’s AI leadership shuffle, with Suleyman shifting away from Copilot to focus solely on frontier model work.
Why it matters: Microsoft has been signaling its desire to reduce its reliance on OpenAI and truly compete with its own models, and MAI-Image-2 is the strongest step yet in that direction. But the legacy tech giant still has a major uphill battle to gain market share from the already well-entrenched frontier options at the top.
QUICK HITS
🛠️ Trending AI Tools
🗣️ Unwrap Customer Intelligence - Turn unstructured customer feedback into data-backed insights that inform your product roadmap*
⚙️ Composer 2 - Cursor’s powerful, cost-effective new in-house coding model
🎨 MAI-Image-2 - Microsoft's new upgraded text-to-image model
🚀 Google AI Studio - Google’s upgraded full-stack vibe coding agent
*Sponsored Listing
📰 Everything else in AI today
Google rolled out upgrades that turn its AI Studio into a one-stop vibe-coding app builder, pairing a new Antigravity coding agent with built-in backends and user login.
Jeff Bezos is reportedly raising a $100B fund to buy chip, defense, and aerospace manufacturers, with plans to use them for his secretive AI startup, Project Prometheus.
Perplexity introduced Health, a new feature allowing users to securely connect health apps, wearables, and data to its Computer agentic system.
DoorDash launched a new ‘Tasks’ app, paying its couriers to capture video and data from everyday tasks and conversations for AI and robotics training.
OpenAI announced the acquisition of open-source developer tool startup Astral, folding the company’s staff into its Codex team.
Meta launched an AI support assistant across FB and IG for 24/7 support, also previewing advanced content enforcement systems that catch 5K daily scam attempts.
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 Gerro A. in The Philippines:
“I'm an assistant secretary in my class in high school. The president told me to create a hub where my classmates can share reviews and leave comments. He expected a simple Google Drive or Discord to share reviews. However, I spent one week creating a website from scratch, using ChatGPT as my helper along the process. Take note, I had no idea how to use HTML, JS, or CSS (I only know how to make games in Python).
This led me to explore and learn more about Full-Stack Development and provide my classmates with a productivity tool.”
How do you use AI? Tell us here.
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: Google bets on ‘Vibe Design’ with Stitch
Read our last Tech newsletter: China greenlights commercial brain implant
Read our last Robotics newsletter: Nvidia’s move to own the robot future
Today’s AI tool guide: Use Replit’s Tasks feature to improve your site
RSVP to next workshop on March 26 @ 2PM EST: Intro to Vibe Coding pt. 3
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown


Nvidia's move to own the robot future
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Good morning, robotics enthusiasts. Nvidia just made its clearest move yet to become the computing backbone of the physical world.
At its annual GTC conference, the $3T chip giant pitched a full-stack future for humanoids, factory bots, and robotaxis, bundling robot brains, simulation tools, and autonomous-driving systems into one sprawling ecosystem. But can startups and rivals still carve out space in a market Nvidia seems determined to lock up?
In today’s robotics rundown:
Nvidia wants to be the OS of every robot
Gecko Robotics lands $71M U.S. Navy deal
Ex-Meta engineers give robots visual memory
Robot dogs guard billion-dollar AI data centers
Quick hits on other robotics news
LATEST DEVELOPMENTS
NVIDIA
🤖 Nvidia wants to be the OS of every robot

Image source: Reve AI / The Rundown
The Rundown: Nvidia’s Jensen Huang used the annual GTC conference to pitch the tech giant as the default computing backbone for physical AI, debuting new humanoid software stacks, next-gen hardware platforms, and new robot and robotaxi partners.
The details:
Nvidia unveiled a plug-and-play “brain” for humanoids, putting GR00T N1.7 into early access and teasing the next-gen N2.
It’s pairing these models with new Isaac and Cosmos tools, designed to train robots faster in simulation before deploying them in the real world.
Nvidia is also partnering with chipmakers to ensure that next-gen robot motors, sensors, and safety systems are designed to integrate with its ecosystem.
Uber will tap Nvidia’s DRIVE to power Level 4 robotaxis starting in LA and San Francisco in 2027, with plans to scale to 28 cities by 2028.
Why it matters: Nvidia wants to sit at the center of a multi‑trillion‑dollar robotics market, getting manufacturers and platforms to standardize on its system. The strategy’s success depends on robots finally graduating from pilots to production, and on how much resistance Nvidia draws from open-source alternatives and rival silicon.
GECKO ROBOTICS
⚓️ Gecko Robotics lands $71M U.S. Navy deal

Image source: Gecko Robotics
The Rundown: Pittsburgh startup Gecko Robotics scored a five‑year, up‑to‑$71M U.S. Navy deal to deploy its wall‑climbing AI inspection robots across warships, creating high-res virtual models to help cut maintenance backlogs.
The details:
The deal starts as a five-year agreement with an initial $54M award and a ceiling of $71M, making it the Navy’s largest robotics contract to date.
Gecko’s climbing, flying, and swimming robots will scan critical structures, feeding sensor data into AI models that can flag corrosion and structural issues.
Gecko says its system can identify repairs up to 50x faster than manual inspection, shrinking months-long work down to a couple of days.
The move dovetails with Trump’s drive to rebuild U.S. shipbuilding and close the gap with China by getting more combat-ready hulls back to sea faster.
Why it matters: It shows the Pentagon is ready to buy commercial robotics at scale to fix one of its least glamorous problems: maintenance. If Gecko can turn ships into always-updated digital twins, it could become the playbook for software-first startups looking to modernize everything from depots to airfields and keep the work coming.
MEMORIES AI
📽️ Ex-Meta engineers give robots visual memory

Image source: Memories.ai
The Rundown: A startup founded by former Meta engineers is building what it calls a “visual memory layer” — infrastructure that lets wearables and robots store, index, and search first-person video footage so they can remember what they’ve seen.
The details:
Memories.ai is partnering with Nvidia, tapping Cosmos-Reason 2 for vision-language reasoning and the Metropolis stack for large-scale video search.
Founded in 2024 by ex-Meta Ray-Ban glasses engineers Shawn Shen and Ben Zhou, Memories spun out of their work on video-capturing smart glasses.
The company has raised $16M to date, including an $8M seed round in 2025 and an $8M extension led by Susa Ventures.
Shen told TechCrunch the company is already working with major wearable makers and sees bigger opportunities in robotics.
Why it matters: AI will need to remember what it sees to really work in the physical world, Memories.ai argues. Its visual memory layer is meant to plug a hole left by largely text-focused memory tools from OpenAI, xAI, and Google, giving robots a way to store and recall what they actually “see” while working in the real world.
ROBOT DOGS
🐕 Robot dogs guard billion-dollar AI data centers

Image source: Boston Dynamics
The Rundown: AI data centers are starting to outsource guard duty to quadruped robot dogs from Boston Dynamics and Ghost Robotics, autonomously patrolling sprawling campuses for threats that fixed sensors routinely miss.
The details:
Spot units run $175K–$300K, but operators say the ROI math is straightforward: recoup the cost in roughly two years by cutting guard labor.
Robot dogs patrol perimeters, scan fence lines for intruders, and flag hazards like leaks, heat anomalies, or propped‑open doors that fixed sensors miss.
Ghost Robotics’ Vision 60s are already active at a handful of facilities, navigating rough terrain while streaming 360-degree video to control rooms.
The pitch from operators is augmentation, not replacement — human security teams monitor the feeds as robots take care of 24/7 patrol.
Why it matters: Tech companies are pouring $700B into hundreds of new AI facilities, with Meta’s Hyperion alone slated to sprawl to 4x the size of Central Park. Even as operators trim onsite guard headcount, execs insist the robots are there to augment humans, with centralized security teams monitoring their feeds from control rooms.
QUICK HITS
📰 Everything else in robotics today
Unitree founder Wang Xingxing said Chinese humanoids could run a sub‑10‑second 100m dash by mid‑2026, potentially beating Usain Bolt’s 9.58‑second world record.
Time said the U.S. is rushing into a “humanoid soldier” arms race, led by Foundation’s Phantom MK‑1 robots in Ukraine, on the promise of keeping human troops alive.
Renault started using Wandercraft’s Calvin-40 humanoids to haul car tires at its Douai plant with plans to roll out about 350 more units over the next 18 months.
South Korean firm Tesollo unveiled a lightweight robotic hand with what it says is near-human-level dexterity that can grasp delicate objects and use everyday tools.
UK defense startup Cambridge Aerospace, which builds drone interceptor systems, is reportedly in talks to raise about $200M at a valuation above $1B.
Samsung is fast‑tracking humanoids and agentic AI for its own plants, aiming to turn all global factories into AI‑autonomous “smart factories” by 2030.
Researchers developed a fully biodegradable soft robotic finger that can perform over 1M actuation cycles accurately before decomposing into nontoxic compost.
Pokémon Go players have, often unknowingly, reportedly helped Niantic Spatial and Coco Robotics train their delivery bots using more than 30B player-shot images.
Drone startup Seneca will test five AI-guided firefighting drones in Aspen this summer to see if autonomous aircraft can attack wildfires faster than traditional crews.
COMMUNITY
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: Google bets on 'vibe design' with Stitch
Read our last Tech newsletter: China greenlights commercial brain implant
Read our last Robotics newsletter: Travis Kalanick’s stealth robot play
Today’s AI tool guide: Generate an actionable SEO audit with AI
RSVP to next workshop @ 2 PM EST today: Intro to Vibe Coding pt. 2
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — The Rundown’s editorial team

Google bets on 'vibe design' with Stitch
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Good morning, AI enthusiasts. Last year, "Vibe coding" changed how the world built. Now, Google is hoping it can do the same for design.
The company’s new Stitch overhaul adds voice editing capabilities, new agentic capabilities, instant prototyping, and more, hoping “vibe design" can do for UI what vibe coding did for development — collapse weeks of work into a single conversation.
Reminder: Our next live workshop is today at 2 PM EST — join part 2 of our Intro to Vibe Coding, where you’ll learn the vocabulary, mental models, and prompting habits that keep your development clean and consistent. RSVP here.
In today’s AI rundown:
Google brings 'vibe design' to its AI UI canvas
MiniMax's new M2.7 helped build itself
Generate an actionable SEO audit with AI
Microsoft ‘weighing’ legal action over Amazon-OAI deal
4 new AI tools, community workflows, and more
LATEST DEVELOPMENTS
🎨 Google brings 'vibe design' to its AI UI canvas

Image source: Google
The Rundown: Google just overhauled Stitch, turning its AI UI design tool into a voice-enabled infinite canvas that takes users from a rough idea to a clickable prototype — and coining the term "vibe design" for its new development workflow.
The details:
Stitch now runs on an infinite canvas where users feed in images, code, or briefs, plus an agent manager that juggles multiple design directions at once.
A new voice feature in preview turns the tool into a hands-free design partner, able to take direction and make live edits mid-chat.
Instant prototyping can turn static screens into interactive prototypes in seconds, while auto-generating logical next screens for the UI flow.
A new DESIGN.md format lets teams port design rules between Stitch and coding tools, with each project getting a style system out of the box.
Why it matters: Design has already changed completely in the AI era, but agentic capabilities are taking things to new levels. Stitch's upgrades let users move at AI-native speeds with easy integration into existing workflows, and a “vibe design” ethos that puts strong creation in reach in the same way “vibe coding” did for development.
TOGETHER WITH VISA
🤝 Get to Know Visa’s Trusted Agent Protocol
The Rundown: The trust layer for agentic commerce. Visa’s Trusted Agent Protocol allows AI agents to verify who they are, who they represent, and what they’re authorized to do — so merchants can interact with agents with confidence, and humans stay in control.
Visa Trusted Agent Protocol Helps Deliver:
Cryptographic verification of AI agent identity and intent
Clear authorization and accountability for agent‑initiated actions
Trust signals to help merchants distinguish legitimate agents from bad actors
Learn more here.
MINIMAX
♻️ MiniMax's new M2.7 helped build itself

Image source: MiniMax
The Rundown: MiniMax launched M2.7, what the company calls its “first model which deeply participated in its own evolution" — writing its own training code, running autonomous improvement loops, and matching the scores of top Western models.
The details:
Early M2.7 versions were put to work on their own training, including writing improvement routines and tuning how the model learns from feedback.
M2.7 ran 100+ cycles of autonomously analyzing its mistakes, rewriting code, and testing fixes — showing a 30% accuracy boost on internal benchmarks.
On coding, M2.7 hit 56.2% on SWE-Pro and 55.6% on VIBE-Pro, putting it near Opus 4.6 and GPT-5.3-Codex for agentic engineering work.
Why it matters: Self-evolving AI is one of the bigger next steps forward, and while we’ve heard rumblings from OAI, Anthropic, Google, and xAI, MiniMax is one of the first labs out of China to openly make the claim. Future models will all likely be training and improving themselves, but for now, we’re just watching the feature emerge.
AI TRAINING
📝 Generate an actionable SEO audit with AI
The Rundown: In this guide, you will learn how to run a full SEO audit on any website using AI and turn the results into a slide deck and a prioritized task list. We tested this method in Manus, Claude, ChatGPT, Gemini, and NotebookLM.
Step-by-step:
Open any AI tool and prompt: “Perform a comprehensive SEO audit of [website URL]. Analyze SEO, on-page optimization, content quality, and backlink profile. Give me the top 10 highest-impact fixes ranked by effort vs. results. Export as a PDF report with sections for each category. Cite your data sources.”
Review the PDF, then prompt: “Turn this audit into a slide deck I can present to a client or stakeholder. Keep it under 10 slides. Include an executive summary, top issues by category, and a recommended action plan with priorities.”
Finally, fix the issues by prompting: “Create an SEO workbook as a CSV with every issue from the audit. Columns: Issue, Category, Priority (High / Medium / Low), How to Fix, Affected Page URL. Sort by priority.”
Pro tip: Give tools browser access so they can gather SEO data from free online tools. Manus did the best job on this without any configuration.
PRESENTED BY GLEAN
🔒 AI moves fast, and security hasn't caught up
The Rundown: AI agents now make decisions, take actions, and touch sensitive data across organizations — but most security policies weren't built for that. The AWARE Framework, developed by the Work AI Institute with Palo Alto Networks and Databricks, gives security and IT leaders a practical guide for governing AI agents at scale.
Download the AWARE Framework to learn:
Why AI agents create risks most security tools weren't designed to catch
Where organizations have blind spots and how to close them before they become a problem
A practical governance model that any team can act on without slowing AI adoption
MICROSOFT & OPENAI
⚖️ Microsoft ‘weighing’ legal action over Amazon-OAI deal

Image source: Lovart / The Rundown
The Rundown: Microsoft is reportedly considering legal action against Amazon and OpenAI, with sources telling the FT it will sue if a new $50B cloud deal between the two companies violates its exclusive contract to host the startup's models on Azure.
The details:
The dispute is over Frontier, OpenAI's new enterprise agent platform — also the anchor of a broader deal committing $138B in cloud spending to AWS.
Microsoft dropped its exclusive hosting lock on OAI in October, but kept a clause that forces all developer access to OAI models to run through Azure.
The FT’s source said “We know our contract… We will sue them if they breach it”, with another source adding “the last thing OAI needs is another court case”.
OAI reportedly signed a new deal with AWS last week, which opened the door for the company’s deployment with the Pentagon.
Why it matters: Just when you thought the Microsoft-OAI relationship couldn't get more awkward, now there's a potential lawsuit to worry about. The FT source is right that OAI can't afford another legal fight with an IPO looming and the Musk trial, but the Microsoft partnership itself also continues to feel like a headache for the AI giant.
QUICK HITS
🛠️ Trending AI Tools
🚀 Stitch - Google’s newly updated UI creation tool for “vibe design”
📱 Dispatch - Control Claude Cowork on your computer via mobile
♻️ MiniMax M2.7 - 'Self-evolving' AI with strong coding, agentic benchmarks
🦞 GLM-5-Turbo - Z AI's high-speed agentic model built for OpenClaw
📰 Everything else in AI today
ASAPP's Nirmal Mukhi and special guest Forrester’s Kate Leggett explore how to plan, staff, and operationalize the new roles AI agents bring to the customer service workforce.*
The U.S. Dept. of Defense filed a 40-page rebuttal to Anthropic's lawsuits, arguing its safety limits make it an “unacceptable risk to national security” during war operations.
Xiaomi released MiMo-V2-Pro, a model that topped OpenRouter's charts under an ‘Hunter Alpha’ codename and excels in agent-related tasks and OpenClaw usage.
Microsoft acquired the full team behind Cove, a collaborative AI interface startup, with the company saying its “ideas will live on” at the tech giant.
Midjourney rolled out a preview of its new V8 image model, coming with improved speed, detail, and text rendering, garnering mixed reactions in early testing.
*Sponsored Listing
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 Sofia F. in London, UK:
"I've recently started a wine subscription, and while I know which wines I prefer, I've never been great at pairing them with food. I’ve finally solved this by setting up an AI workflow to manage my wine pairings. Every time my subscription arrives, I snap photos of the labels so the AI can index the vintage and tasting notes.
Now, when I finish my weekly shop, I just upload the receipt; the AI parses the ingredients and cross-references them against my wine inventory to generate a 7-day pairing schedule. It’ll even warn me if I’m about to waste a high-tannin Bordeaux on a mid-week stir-fry, suggesting a cheap bottle of plonk from the corner shop instead! My husband, a total wine connoisseur, says it hasn't been wrong yet."
How do you use AI? Tell us here.
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: Simo sounds alarm on OpenAI’s ‘side quests’
Read our last Tech newsletter: China greenlights commercial brain implant
Read our last Robotics newsletter: Travis Kalanick’s stealth robot play
Today’s AI tool guide: Generate an actionable SEO audit
RSVP to next workshop @ 2 PM EST today: Intro to Vibe Coding pt. 2
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown


Simo sounds alarm on OpenAI's 'side quests'
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Good morning, AI enthusiasts. While OAI was launching a video app, building a web browser, designing hardware, and adding shopping to ChatGPT, Anthropic quietly took control of the enterprise market.
Now, Applications CEO Fidji Simo is reining the company back in — telling staff they "cannot miss this moment because we are distracted by side quests" and refocusing on two key pillars: coding tools and business customers.
In today’s AI rundown:
OpenAI scrapping ‘side quests’ to catch Anthropic
Mistral opens its model-training playbook
Generate a cohesive e-commerce product shoot
Microsoft redraws its AI org chart
4 new AI tools, community workflows, and more
LATEST DEVELOPMENTS
OPENAI
🎯 OpenAI scrapping ‘side quests’ to catch Anthropic

Image source: Lovart / The Rundown
The Rundown: OpenAI is overhauling its product strategy to focus on coding tools and businesses after CEO of Applications, Fidji Simo, called Anthropic's enterprise dominance a "wake-up call" in a company-wide meeting, according to the WSJ.
The details:
Powerful Claude Code and Cowork releases grabbed the lead with business customers, with Simo telling staff OAI is treating the gap as a "code red."
Simo said OAI “can’t miss the moment because we are distracted by side quests”, coming amid efforts including hardware, adult mode, ads, and more.
OAI’s 2025 launches included Sora, the Atlas browser, e-commerce features, and more, which insiders said led to confusion and constant compute shuffling.
It did claw back in coding, with Codex quadrupling its weekly users to 2M+ since January — alongside a new GPT 5.4 model targeting business workflows.
Why it matters: The Pentagon drama may still be fresh in consumer minds in the battle between OpenAI and Anthropic, but where the real war is being fought is on the enterprise side. OAI is pulling in a million different directions, and Simo saying so out loud to the whole company tells you how real the Anthropic gap has gotten.
TOGETHER WITH HUBSPOT
🧠 100+ ChatGPT prompts to revolutionize your workflow
The Rundown: HubSpot’s free, comprehensive “How to Use ChatGPT at Work” guide provides 100+ ready-to-use prompts to help professionals boost efficiency and adopt AI-driven workflows.
Inside, you’ll find:
A quick crash course to master ChatGPT in under 30 minutes
Practical industry use cases to spark real-world inspiration
100+ prompts to streamline tasks and accelerate productivity
Expert tips to tackle common AI roadblocks with confidence
Get your free copy and join 10,000+ professionals leveling up with AI.
MISTRAL
🏗️ Mistral opens its model-training playbook

Image source: Mistral
The Rundown: Mistral launched Forge, a platform that hands enterprises the same training recipes and infrastructure the French AI lab uses internally — allowing companies to build custom models on proprietary data without ever sharing it.
The details:
Rather than basic fine-tuning, Forge offers full pre-training, post-training, and RL pipelines that mirror how Mistral builds its own flagship models.
Training can run entirely on a company's own servers with zero data exposure to Mistral, a hard requirement for defense, finance, and government buyers.
Early partners include ASML, Ericsson, and the European Space Agency, with use cases from legacy code migration to ancient manuscript restoration.
Forge comes during a busy week of Mistral releases that includes Small 4 and Leanstral, with the French startup also joining Nvidia’s Nemotron Coalition.
Why it matters: Most major enterprise AI boils down to the same thing: take a general model and hope it's close enough. Mistral is making a different bet — that companies sitting on tons of proprietary data, compliance rules, and internal codebases need models trained on that knowledge, not just prompted with it.
AI TRAINING
📸 Generate a cohesive e-commerce product shoot
The Rundown: In this guide, you will learn how to generate a full set of product photos using Grok's Aurora model, building each image off the last one so they all look like they came from the same session.
Step-by-step:
Go to grok.com, upload a product photo, and prompt: “Product photo of [your product] on a matte black surface, soft box lighting from the upper left, shot on 85mm lens, f/2.8, shallow depth of field, commercial product photography”
Build more shots from the first output by keeping the same studio description and changing only the angle or crop — a 3/4 angle, a close-up, or a white BG
Add a lifestyle shot. Describe the product in use: being worn, held, or placed in a real environment. Include the setting, lighting, and mood
Lay out all your images. They should look like they came from the same shoot
Pro tip: Try picking a themed studio shoot, like basketball-themed, nature-themed, etc. Grok might surprise you here.
PRESENTED BY UNWRAP
💬 Powerful insights for powerful brands
The Rundown: Unwrap’s customer intelligence platform brings all your customer feedback (surveys, reviews, support tickets, social comments, etc.) into a single view, then uses AI + NLP to surface the most actionable insights and deliver them straight to your inbox.
With Unwrap, you get:
A clear, single view of customer sentiment
The ability to ask questions about your feedback using natural language with Assistant
Real-time alerts from your feedback as they arise
Tools trusted at scale by Perplexity, Oura, Stripe, Clay, DoorDash, lululemon, Southwest Airlines, and others
Connect with Unwrap to get a free trial of the tools, exclusive to The Rundown AI readers.
MICROSOFT
♻️ Microsoft redraws its AI org chart

Image source: Microsoft AI
The Rundown: Microsoft just overhauled its AI org chart, announcing the merge of its fragmented Copilot teams and shifting Microsoft AI CEO Mustafa Suleyman’s focus squarely towards its five-year mission to build superintelligence in-house.
The details:
Former Snap exec and new Microsoft AI EVP Jacob Andreou will run the combined Copilot org, which will span across design, product, and engineering.
Suleyman said the move will “enable me to focus all my energy on our Superintelligence efforts”, with a focus on enterprise systems.
A reworked OAI partnership cleared the way for Microsoft to build toward AGI on its own, lifting a ban on solo development that ran through 2030.
Copilot is still struggling for traction, with 6M daily users in February vs. ChatGPT's 440M — and its enterprise add-on reaching just 3% of Office subs.
Why it matters: Microsoft stock is down this year, the legacy software companies are under pressure to prove AI ROI, and Copilot adoption is a fraction of the big players. This reorg is Nadella betting that the fix starts at the model layer just as much as the product one — and that the company needs its own frontier systems to compete.
QUICK HITS
🛠️ Trending AI Tools
🧠 Adapt - Your company’s AI computer. Learns your business and autonomously reasons and acts across your stack in Slack*
🤏 GPT-5.4 Mini & Nano - OAI’s fast, cheap small models for coding agents
🦞 NemoClaw - Nvidia's open-source security layer for OpenClaw agents
🧠 Mistral Small 4 - Mistral's new AI combining reasoning, coding, and vision
*Sponsored Listing
📰 Everything else in AI today
OpenAI launched GPT-5.4 mini and nano, two smaller, faster versions of its flagship model built for coding assistants and multi-agent systems.
Mistral released Small 4, an open-source model that merges its reasoning, coding, and vision capabilities into one system.
Anthropic unveiled Dispatch, a Claude Desktop feature that lets users message the assistant from a phone as it works on a PC, running code, browsing, and managing files.
Sam Altman's proof-of-personhood company World launched AgentKit, a tool that lets websites verify a real human is behind an AI shopping agent's purchases.
Google announced that its Personal Intelligence feature is now rolling out to free-tier users across its AI Mode in Search, the Gemini app, and Chrome in the U.S.
Gamma introduced Imagine, an AI design tool baked into its presentation platform that generates logos, infographics, and social graphics with automatic brand styling.
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 Dmitry K. in Livonia, MI:
"I have two vehicles and found it challenging to keep meticulous maintenance records over the years. Recently, I set up a Claude project to create a Vehicle Maintenance Logbook. Every time I have a service appointment, I take a picture of the receipt, including the work performed, and upload it to Claude.
It then enters all relevant information into my logbook, while keeping me informed of manufacturer-recommended maintenance and giving me an overall health score for each vehicle. Now I have better maintenance clarity and a fully digital record, which will come in handy when selling either car!”
How do you use AI? Tell us here.
🎓 Highlights: News, Guides & Events
Read our last AI newsletter: Nvidia’s big AI day at GTC
Read our last Tech newsletter: China greenlights commercial brain implant
Read our last Robotics newsletter: Travis Kalanick’s stealth robot play
Today’s AI tool guide: Generate a cohesive e-commerce product shoot
RSVP to our next workshop on Thursday: AI coding bootcamp pt. 2
See you soon,
Rowan, Joey, Zach, Shubham, and Jennifer — the humans behind The Rundown


China greenlights commercial brain implant
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Good morning, tech enthusiasts. China has issued the world’s first commercial approval for an invasive brain-computer interface, marking a regulatory breakthrough that rivals Neuralink and Synchron have yet to reach.
The implant pairs a neural chip with a robotic glove, letting paralyzed patients grip objects by thought — and now, by prescription.
In today’s tech rundown:
China approves world’s first commercial BCI
Starcloud wants 88K AI satellites in orbit
New blood test may predict how long you live
Samsung kills its trifold after three months
Quick hits on other tech news
LATEST DEVELOPMENTS
BCI
🧠 China approves world’s first commercial BCI

Image source: Reve AI / The Rundown
The Rundown: China just approved the world’s first invasive brain-computer interface (BCI) for commercial use, letting Shanghai-based Neuracle Medical Technology bring its neural implant to market ahead of Neuralink and every other rival.
The details:
The system pairs a brain implant with a robotic glove, enabling adults with spinal cord injuries to grip and hold objects via thought-driven signals.
It’s narrowly targeted: designed for 18–60-year-olds with stable upper-limb paralysis who retain arm movement but can’t grasp.
The coin-sized wireless implant sits on the surface of the brain’s outer membrane — above the tissue, not inside it, to reduce damage risk.
Musk’s Neuralink and Synchron are still in trial or demo mode, while Musk says Neuralink will reach “high-volume production” this year.
Why it matters: China’s approval makes this the first invasive BCI cleared for commercial medical use, while rivals, including Neuralink and Synchron, remain in trials. Beijing designated BCI a national "future industry," weaving it into its economic planning, all while moving faster through regulatory channels than the FDA.
SPACE
🛰️ Starcloud wants 88K AI satellites in orbit

Image source: Starcloud
The Rundown: Nvidia-backed startup Starcloud filed plans to build a mega-constellation of 88K satellites designed to host AI workloads in space rather than expand the world’s already strained data center footprint.
The details:
Starcloud has asked regulators to approve its “orbital data center,” a satellite network built around AI accelerators and cloud servers in space.
The Redmond-based startup argues the setup could lower cooling costs, cut latency, and offer a credible alternative to land-based server farms.
The filing drops Starcloud into direct competition with Starlink and Amazon’s Project Kuiper for a finite slice of orbital real estate.
A planned fleet of 88K spacecraft would dwarf today’s constellations; SpaceX’s Starlink, currently the world’s largest, has about 10K satellites in orbit.
Why it matters: The proposal lands as governments are still sorting out how much of the sky a single private operator can claim. It also puts a finer point on an ongoing debate — whether the promise of space-based AI is compelling enough to justify packing an already crowded, light-polluted orbit even further.
BIOTECH
🩸 New blood test may predict how long you live

Image source: Ideogram / The Rundown
The Rundown: A routine blood test may soon do more than flag high cholesterol — it may forecast who is likely to be alive two years from now, thanks to a newly identified RNA signal that outperforms traditional health markers in predicting short‑term survival.
The details:
Duke researchers found that levels of six tiny RNA fragments (piRNAs) predict whether people over 70 survive the next two years with up to 86% accuracy.
The team analyzed 828 small RNAs in blood plasma, alongside health indicators from medical records, assessments, and self-reported lifestyle data.
People who lived longer consistently showed lower levels of the nine piRNAs linked to aging, with six of them forming the strongest survival predictor.
In computer simulations, adjusting patients’ piRNA levels to optimal ranges pushed predicted two-year survival from roughly 47% to nearly 100%.
Why it matters: A blood test that forecasts short-term survival is still years from clinical use, but piRNAs represent a class of biomarkers standard panels have never captured. Up next, the research team is testing younger people and probing whether common drugs like metformin or GLP-1s can shift the signal.
SAMSUNG
💀 Samsung kills its trifold after three months

Image source: Samsung
The Rundown: Samsung is pulling the plug on its $2,899 Galaxy Z TriFold less than three months after launch, winding down the dual-hinged, 10-inch phone-tablet hybrid in Korea first, then the U.S. as remaining inventory clears.
The details:
Released in tiny online drops that sold out in minutes, the TriFold functioned more as a proof-of-concept than a mainstream product, Samsung says.
Samsung reportedly made little to no profit per unit, squeezed by high manufacturing costs and elevated prices for memory and storage components.
Foldables remain a small fraction of the overall phone market, but one of the few segments still posting growth as traditional slab phones plateau.
The exit hands Apple a clean opening: when its long-rumored foldable iPhone eventually arrives, it can position itself as the measured, refined alternative.
Why it matters: Samsung killing its TriFold is a reality check for luxury foldables, evidence that even the category’s dominant player can’t sustain a three-hinge gamble in a market this thin. With Huawei shipping more conventional foldables and Apple lining up its first folding iPhone, Samsung is retreating to safer, higher‑volume designs.
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Rowan, Joey, Zach, Shubham, and Jennifer — The Rundown’s editorial team
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