AI Daily News Rundown March 23 2026:Musk’s $25B Terafab, DoorDash’s Physical Data Harvest, and Zuck’s AI Chief of Staff

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🚀 Welcome to DjamgaMind. Today, the digital models break into the physical world. Elon Musk launches a $25 billion chip factory, Peter Thiel backs AI cow collars at a $2B valuation, and DoorDash turns its gig workers into walking spatial-data cameras for robotics training.

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In Today’s Briefing:

• Terafab: Elon Musk’s $25 billion mega-factory designed to bring chip fabrication in-house and deploy a terawatt of AI compute into space.

• Zuck’s AI Agent: Meta’s CEO is building a personal AI Chief of Staff to bypass corporate bureaucracy, amidst rumors of 20% workforce layoffs.

• The DoorDash Data Harvest: Why the new “Tasks” app is paying gig workers to capture spatial and biometric data to train delivery robots.

• The $2B ‘Cowgorithm’: Halter nears a massive valuation to replace agricultural fencing with AI-driven smart collars.

• The Wrapper Backlash: Cursor faces heat for building its Composer 2 on top of Kimi K2.5, while ChatGPT’s first advertisers see dismal 0.91% click-through rates.

• Claude Cowork Projects: Anthropic’s move to store project contexts locally on desktop, boosting interoperability and privacy.

• Congressional Crackdown: A bipartisan bill aims to ban sports and casino contracts on prediction markets like Polymarket and Kalshi.

Strategic Signal: Vertical Hardware Sovereignty & Physical Data Extraction.

Keywords: Elon Musk Terafab, $25B Chip Factory, Orbital Data Centers, DoorDash Tasks App, Spatial Data Harvesting, Halter AI Cowgorithm, Peter Thiel AgTech, Mark Zuckerberg AI Agent, Claude Cowork Projects, Cursor Composer 2 Kimi K2.5, Polymarket Prediction Market Ban, ChatGPT Ad Performance, DjamgaMind, AI Unraveled.

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Musk unveils $25B Terafab chip factory LINK

• Elon Musk announced plans to build a chip factory called Terafab, a joint project between Tesla and SpaceX, with an estimated cost of $25 billion near Tesla’s Austin headquarters.

• Musk said semiconductor manufacturers aren’t making chips fast enough for his companies’ artificial intelligence and robotics needs, so he decided to build the facility himself.

• The factory aims to produce chips supporting 100 to 200 gigawatts of computing power per year on Earth and a terawatt in space, though Musk gave no timeline.

Zuckerberg builds an AI agent to help him run Meta LINK

• Mark Zuckerberg is reportedly building a personal AI agent to help him run Meta, mainly by speeding up information retrieval without going through multiple layers of people or teams.

• Meta employees are already using agentic tools like MyClaw for accessing work files and chat logs, and Second Brain, built on Anthropic’s Claude, which is described internally as an “AI chief of staff.”

• The push comes as Meta tries to compete with AI-native startups that have smaller teams, and a separate Reuters report claims the company may be planning layoffs affecting up to 20% of its workforce.

Congress moves to ban sports prediction markets LINK

• A bipartisan pair of U.S. senators, Democrat Adam Schiff and Republican John Curtis, plan to introduce a bill that would ban federally regulated prediction market platforms from offering contracts tied to sports and casino-style games.

• The bill targets platforms like Kalshi and Polymarket, where 90 percent of trading volume comes from sports contracts, meaning a federal ban would destroy the dominant revenue stream for companies seeking $20 billion valuations.

• States are already fighting prediction markets through lawsuits and criminal charges in multiple jurisdictions, while attorneys general from 39 states have urged federal courts to uphold state authority over sports gambling regulation.

ChatGPT’s first advertisers can’t prove ads work LINK

• OpenAI’s first advertising partners — WPP, Omnicom, and Dentsu — are struggling to prove that ChatGPT ads actually work, with click-through rates running nearly 7x below Google search benchmarks.

• One brand’s click-through rate on ChatGPT ads hit just 0.91% compared to Google’s 6.4%, and a separate advertiser spent only 3% of a $250,000 budget after several weeks.

• Measurement tools are also broken — a reporting glitch in OpenAI’s Ad Manager blocks advertisers from seeing their own data, making it impossible to optimize campaigns or justify continued spend.

DoorDash offers cash for AI data. Read the terms

A company is willing to pay people to capture real-world content to train robots. No, that’s not a Black Mirror episode, it’s DoorDash’s new app.

On Thursday, DoorDash unveiled Tasks, a feature that pays Dashers to provide businesses with ground-level insights, from photographing restaurant food to capturing hotel entrances for easier deliveries. Win-win, right? Well, tucked below that is a paragraph about a new standalone app DoorDash is piloting.

“We’re also piloting a new standalone app where Dashers can complete activities like filming everyday tasks or recording themselves speaking in another language,” said DoorDash. “This data helps AI and robotic systems understand the physical world.”

Real-world data is one of AI’s most valuable and limited resources. Without it, manufacturers are stuck training models on simulations that only approximate reality. That’s likely why DoorDash is willing to pay upfront: it’s a premium commodity they can upsell. DoorDash has not responded to a request for comment.

While getting paid to perform and record routine tasks may sound like a good way to make extra cash, users should soberly consider the privacy and security implications, which, according to Andrew Shimshock, CTO and Co-Founder of Mill Pond Research, a company focused on secure AI solutions, are numerous.

“Once an AI or robotic system is trained on biometric or spatial data and released into production, the underlying training data must be considered compromised,” said Shimshock. “Bad actors do not need to breach a server; they simply need access to query the AI.”

Shimshock also highlighted that once a person’s biological markers are baked into a multimodal AI, that data cannot be unlearned or deleted. Beyond the consenting individual’s data, there is also the question of what that means for individuals incidentally captured in the background of a task, without their knowledge or consent.

While dystopian, this approach isn’t new. Data from the popular Pokémon Go game, which had hundreds of millions of players wandering the streets to capture the game characters, has now been used to create a Visual Positioning System (VPS) to train delivery robots.

The lines of user consent are getting increasingly blurred in the era of AI. The question is, when is too much? It is an accepted truth that the entirety of the internet now lives in the datasets behind these powerful models, but what if our physical existence gets baked into them too?

Claude Cowork’s new Projects power up workers

Anthropic’s Claude Cowork has maintained steady momentum since its January launch, with no signs of slowing.

On Friday, Anthropic launched a Project feature for the Claude Cowork desktop app and it allows users to create different workspaces that contain the tasks, instructions, and files relevant to that one area of focused work.

The content in the Project is then stored locally in a folder on the user’s computer. This has several advantages. Users never need to reupload the same information between sessions, can access it without constant context-switching, and retain full control over their files.

It also helps with vendor interoperability. Often, users don’t want to switch between AI tools simply because of the time it took to tailor them to their preferences and needs. With the instructions and files being stored locally, users can then easily reupload the personalization information elsewhere.

To create a new project, users can either start from scratch by setting up a new folder with instructions and files, import from chat by bringing over instructions and files from an existing chat project, or use an existing folder they already work from. Anthropic said users can update or download the Claude desktop app to try it.

While this is in itself a major update, it doesn’t seem like Anthropic is stopping there. The company is reportedly developing a Sketch tool for Claude, according to an X post. This would allow users to input a quick sketch to explain what they’d like done, rather than having to describe it in words.

Halter’s AI ‘Cowgorithm’ nears $2B valuation

Image source: Halter

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.

What Else Happened in AI on March 23rd 2026?

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.

Tencent integrates WeChat with OpenClaw AI agent amid China tech battle. [LINK]

AI-generated ads are trickling into political campaigns, sparking big worries. [LINK]

US man pleads guilty to defrauding music streamers out of millions using AI. [LINK]

AI rebuilds molecules from exploding fragments. [LINK]