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Good morning ☀️, leader of the next generation.
Technology is reshaping how the world works.
The real question is not what it can do — but how we choose to use it.
We focus on using technology to support human evolution.
Progress works when responsibility stays human.
⚡ WHAT'S AT STAKE TODAY ⚡
- 🚗💰 DoorDash launches a new 'Tasks' app that pays couriers to submit videos to train AI
- 💰🏭 Jeff Bezos reportedly wants $100 billion to buy and transform old manufacturing firms with AI
- 💬😂 Sam Altman's thank-you to coders draws the memes
- 🤖⚠️ Meta is having trouble with rogue AI agents
- 💻🚀 Multiverse Computing pushes its compressed AI models into the mainstream
- 🏠🇬🇧 Amazon brings Alexa+ to the UK
- 🔒🤖 Meta rolls out new AI content enforcement systems while reducing reliance on third-party vendors
- 🚗🔄 Hyundai Mobis pivots to AI, autonomous driving in portfolio overhaul
- 📱🤖 Nothing CEO Carl Pei says smartphone apps will disappear as AI agents take their place
DoorDash pays delivery workers to create AI training content
DoorDash launches a new 'Tasks' app that pays couriers to submit videos to train AI
DoorDash is expanding beyond food delivery with an innovative approach to artificial intelligence training. The company has introduced a standalone "Tasks" app that compensates its delivery workforce for creating content that helps improve AI and robotic systems.
The new platform allows DoorDash's army of couriers, known as Dashers, to earn additional income by completing various assignments. These range from filming everyday activities to recording themselves speaking in different languages. According to the company, this approach leverages real-world data to enhance AI understanding of physical environments.
"Pay is shown upfront and determined based on effort and complexity of the activity," DoorDash explained in their announcement. The original footage collected through these tasks serves multiple purposes, helping to evaluate both DoorDash's internal AI models and those developed by partners across retail, insurance, hospitality, and technology sectors.
Examples of tasks include specific scenarios like filming hands washing dishes while wearing a body camera, ensuring each clean dish remains in frame for several seconds. These detailed recordings provide valuable training data for AI systems learning to recognize and understand human actions and behaviors.
DoorDash isn't pioneering this concept alone. Uber has similarly tapped into its driver network, offering opportunities for additional earnings through AI-related micro-tasks, including photo uploads for machine learning model training. This trend reflects the growing demand for real-world data in AI development.
Beyond the standalone app, DoorDash is integrating Tasks directly into the existing Dasher app. These integrated tasks focus on practical business applications, such as photographing restaurant dishes to help establishments showcase their menus more effectively, or capturing images of hotel entrances to improve delivery location identification.
The platform also incorporates existing partnerships, including DoorDash's collaboration with Waymo. In this arrangement, couriers earn money for simple tasks like closing the doors of autonomous vehicles, bridging the gap between human assistance and self-driving technology.
Ethan Beatty, general manager of DoorDash Tasks, emphasized the strategic advantage of their courier network: "There are more than 8 million Dashers who can reach almost anywhere in the U.S. and who want to earn flexibly beyond delivery. That's a powerful capability to digitize the physical world."
This vast workforce represents an unprecedented opportunity for businesses to gather ground-level insights and data across diverse locations and scenarios. The flexibility appeals to workers seeking additional income streams while providing companies with authentic, real-world content for AI training purposes.
Currently, both the standalone Tasks app and integrated Tasks features are available in select U.S. locations. However, several major markets are excluded from the initial rollout, including California, New York City, Seattle, and Colorado. These exclusions likely reflect regulatory considerations and varying labor laws across different jurisdictions.
DoorDash has ambitious expansion plans for the Tasks platform, intending to introduce additional task categories and extend availability to international markets. This growth strategy positions the company to become a significant player in the AI training data marketplace while providing its workforce with diverse earning opportunities beyond traditional delivery services.
The initiative represents a convergence of gig economy labor and artificial intelligence development, creating a new model where everyday workers contribute directly to technological advancement while earning supplemental income on their own terms.
🔍 Which AI Dilemma Should We Tackle First?
- ⚠️ 1. Speed vs. Understanding The rapid pace of AI development is outpacing our ability to comprehend or regulate it.
- 🧠 2. Lack of Alignment AI systems don’t necessarily optimize for what’s good for humans—even when they seem to.
- 🏢 3. Power Concentration AI is consolidating power into the hands of a few tech giants and governments.
- 🤖 4. Automation Without Purpose AI is replacing jobs faster than society is creating meaningful alternatives.
- 🛑 5. Loss of Human Agency We risk becoming passive consumers of AI decisions, losing creativity and independent thinking.
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Bezos seeks $100B fund to acquire and AI-modernize manufacturing companies
Jeff Bezos reportedly wants $100 billion to buy and transform old manufacturing firms with AI
Jeff Bezos is pursuing $100 billion for a new fund to acquire and modernize manufacturing companies using AI technology, according to The Wall Street Journal. The initiative connects to his AI startup Project Prometheus, co-founded with former Google executive Vik Bajaj.
Prometheus launched with $6.2 billion funding, targeting aerospace, automotive, and manufacturing sectors with advanced AI models. Bezos recently traveled to Singapore and the Middle East seeking investors for acquisitions in aerospace, chipmaking, and defense industries.
🎙 New Episode: Turn Views Into Revenue with Ivan Unfiltered
Most businesses are posting content…
But very few are turning it into revenue.
In this episode, I sit down with Ivan Unfiltered — founder of Viral Video Labs and the force behind one of the biggest podcasts coming out of Las Vegas.
Ivan doesn’t just create content. He builds content systems that convert.
Through Viral Video Labs, he helps entrepreneurs and brands:
- Stop the scroll
- Capture real attention
- Turn short-form video into leads, sales, and authority
We break down:
- 🔥 Why most businesses fail at short-form
- 🔥 The difference between viral and profitable
- 🔥 How to build a repeatable content machine
- 🔥 The future of short-form media
If you’re serious about growing your brand online — this episode is a must-watch.
👉 Explore the Supercharged Podcast⚡ Trends for the Future
Nothing CEO Carl Pei says smartphone apps will disappear as AI agents take their place
Carl Pei envisions AI-powered smartphones replacing traditional apps with intelligent agents.
Carl Pei, co-founder and CEO of Nothing, believes the future of smartphones lies not in apps, but in AI agents that anticipate and execute users' needs. Speaking at SXSW in Austin, Pei warned founders that apps will eventually disappear, disrupting businesses whose core value depends on traditional mobile applications.
This vision helped Nothing secure a $200 million Series C funding round, as the company pitches AI-powered smartphones with personalization technology so accurate that users won't need to double-check the AI's output. Pei outlined a progression toward this future, starting with basic AI commands for booking flights or hotels, which he dismisses as "super boring."
The more compelling phase involves AI learning users' long-term intentions and proactively offering suggestions. "I think it gets even more powerful when it starts surfacing suggestions for you," Pei explained, comparing this to ChatGPT's memory feature. The system would eventually suggest things users didn't even know they wanted.
Pei criticized current smartphone interfaces as outdated, noting they haven't fundamentally changed in 20 years despite significant technological advances. "You have lock screens, home screens, apps. You browse different apps... it's still very similar" to old Palm Pilots and PDAs, he said.
Simple tasks remain unnecessarily complex, requiring multiple apps. "Let's say we want to grab coffee... we have to go through so many different steps and so many different apps. It's probably like four apps to grab coffee with somebody," Pei noted, referencing messaging, maps, Uber, and calendar applications.
The future smartphone should simply understand intentions and execute them autonomously through AI, Pei argues. This requires interfaces designed for AI agents rather than human navigation, moving beyond current approaches that mimic human touch interactions. While apps won't disappear immediately, Pei believes the transition toward AI-first devices is inevitable.
⚡ Let’s Make AI Actually Useful:
What Would Move the Needle in *Your* Industry?
AI has potential — but generic advice rarely helps.
What would be genuinely valuable for AI to do in your industry right now?
• Automate a painful workflow?
• Improve decision-making?
• Replace a manual process that wastes time?
• Help your team upskill faster?
Tell us what you’d want AI to handle — or where you feel stuck.
We’re using these insights to curate **industry-specific trainings, live webinars, and practical guidance** you can actually apply.
🌡️ Use the Satisfaction Thermometer to show us how much you enjoyed The Supercharged today ;)
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