Welcome, busybees
Nvidia has reportedly agreed to buy Hugging Face for $12.9 billion, according to TechCrunch, in a deal that would hand the world's dominant AI chipmaker control of the platform nearly every open-source AI model gets published and shared on. Hugging Face was valued at $4.5 billion just three years ago. If this closes, it becomes Nvidia's largest acquisition ever, ahead of the $7 billion it paid for Mellanox in 2020, and it raises a real neutrality question: Hugging Face also works closely with AMD, AWS, and Google, and all three now have a reason to worry about their access once a competitor owns the platform.
Meanwhile, OpenAI just flipped the switch on advertising in one of its largest markets. ChatGPT will start showing ads to Free and Go tier users in India starting this week, with more than 50 brands already lined up. Here's what else is worth knowing, plus real roles across engineering and growth you can apply to right now.
Here’s what happened in AI today:
• Nvidia is reportedly closing in on a $12.9 billion deal to buy Hugging Face.
• OpenAI starts showing ads inside ChatGPT for Free and Go users in India this week.
• A buzzy new AI assistant called Instinct raised $350 million at a $2.5 billion valuation.
• Amazon reportedly tripled its Nvidia chip order, citing surging demand.
…and a whole lot more that you can read about below.
• Nvidia Is Closing In on a $12.9 Billion Deal for the Open-Source Hub of AI
Nvidia has reportedly agreed to buy Hugging Face for $12.9 billion, TechCrunch reports, citing a person familiar with the deal, though a separate Business Insider report says talks were serious but not yet signed. Hugging Face, founded in 2016, is the central hub where developers publish, discover, and deploy open-source AI models, often described as the GitHub of AI. The price would nearly triple its $4.5 billion valuation from a 2023 round that Nvidia itself participated in with $235 million. If it closes, this becomes Nvidia's largest acquisition ever, surpassing the $7 billion it paid for Mellanox in 2020. Hugging Face CEO Clement Delangue has spent much of this year publicly aligned with Nvidia's push for open models, and the deal lands a month after Hugging Face's platform was breached by a rogue OpenAI model during a safety test.
• OpenAI Starts Running Ads Inside ChatGPT in One of Its Biggest Markets
OpenAI announced it will begin showing ads to logged-in adult users on ChatGPT's Free and Go tiers in India starting this week, with more than 50 brands already set to go live. Ads will appear at the bottom of chatbot responses, stay clearly labeled and visually separated from ChatGPT's actual answers, and will not appear for anyone under 18 or alongside sensitive topics like health or politics. OpenAI has partnered with WPP and Omnicom as its first Indian ad agencies, and plans to open self-serve access through a ChatGPT Ads Manager on September 4, with daily budgets starting at roughly $7.60. India is ChatGPT's second-largest market, with more than 100 million weekly users as of February.
Today's Job Board
Founding Product Engineer, Full Stack | b12 Labs
San Francisco Bay Area, California (Full-time)
Help make hard molecules for pharma and biotech at an early-stage startup.
Software Engineer | Tank Payments
United States (Full-time)
Build modern financial infrastructure for the trucking industry.
Country Launcher (IR/NL/IT/ES) | Corgi Insurance
London, England, UK (Full-time)
Launch Corgi's AI-native financial infrastructure into new European markets.
Full-Stack Software Development Lead | SiPhox Health
United States (Full-time)
Lead full-stack development for wearable and at-home health monitoring built on silicon photonic chips.
Staff Platform Engineer | Postscript Remote (Full-time)
Build platform infrastructure for the SMS revenue platform used by e-commerce merchants.
Full Stack Software Engineer, Frontend-Leaning | Caribou
United States (Full-time)
Build the product for the autonomous tax firm handling filings end to end.
Geotechnical Engineer, (AI Systems) | KorrAI Toronto,
ON, Canada / Remote (Full-time)
Bring traceable AI to billion-dollar infrastructure projects.
Senior Software Engineer | Confido
United States (Full-time)
Build the AI-enabled financial automation and intelligence platform used by CPG brands.
Software Engineer | Embeddables
San Francisco, California (Full-time)
Build the funnel builder used by health and wellness brands.
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Today's Money Moves 💸
Instinct Raises $350M at a $2.5 Billion Valuation
Instinct, a viral new AI assistant, raised $350 million at a $2.5 billion valuation, a steep jump for a product that has drawn real scrutiny over how much personal data and device access it requests from users.
Robotics Startup Generalist Reaches a $3 Billion Valuation
Generalist, a robotics foundation model startup, reached a $3 billion valuation according to sources familiar with the deal, continuing a strong month for robotics-focused funding.
Today's Growth Recommendation
Give a Skydive agent an ongoing responsibility and it runs on schedule, every time, prepping reports, researching leads, or monitoring feedback while you sleep.
Make Your First Agent Below ↓
Your agents work while you sleep
Give a Skydive agent an ongoing responsibility and they’ll handle it on schedule, every time.
Have them prep your morning report, research new leads, monitor customer feedback, or keep projects moving overnight. You wake up, the work is already done.
Skill of the Day
Stress-Test Your Own AI-Assisted Work
Given today's story on Claude's new watermark, it's worth building a habit regardless of where the technology lands: know exactly which parts of your work came from AI and which came from you, before anyone asks. It's not about hiding AI use, it's about being able to explain your own work confidently.
Before turning in anything AI-assisted, ask Claude to help you separate what it generated from what you directed, edited, or originated yourself, so you have a clear, honest answer ready if anyone asks how the work came together.
Prompt of the Day
The "Compress It" Executive Summary
Use this after finishing any AI-assisted project, before you submit or send it, so you can explain exactly how it came together if asked.
Help me break down how this piece of work actually came together. The work: [paste the final text, code, or document] What I did: [briefly describe your own input, edits, or direction]
Give me:
• What came directly from AI suggestions versus what came from my own direction or edits.
• The parts where my judgment or expertise shaped the final result the most.
• A short, honest one-paragraph explanation I could give if someone asked how this was made.
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