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- Figure's robot butler arrives
Figure's robot butler arrives
PLUS: How Sora is becoming the next TikTok and why AI vendors are struggling with ROI
Good morning, AI enthusiast.
The next generation of humanoid robots has arrived. Figure AI just introduced its Figure 03 model, a general-purpose bot designed for both home and commercial use and built from the ground up for mass production.
By building a robot capable of navigating the unpredictable home environment, Figure is aiming for a truly adaptable platform. The real question is whether its integrated focus on hardware, AI, and scalable manufacturing will finally be the combination that brings humanoids into our daily lives.
In today’s AI recap:
Figure’s new general-purpose humanoid
Sora’s pivot to a social media platform
AI vendors face an ROI reality check
8 trending AI Tools
Figure's Robot Butler Arrives

The Recap: Figure AI has unveiled its third-generation humanoid, Figure 03, a general-purpose robot designed to autonomously perform chores in homes and handle tasks in commercial environments.
Unpacked:
The robot is powered by Figure’s proprietary Helix AI system, a vision-language-action model that enables it to reason and operate in real-time without being pre-scripted.
Figure 03 features a redesigned sensory system, including new cameras with twice the frame rate and tactile fingertip sensors sensitive enough to detect three grams of pressure.
Unlike previous prototypes, Figure 03 was built from the ground up for mass manufacturing, using processes like die-casting and injection molding to dramatically lower production costs.
Bottom line: By building a robot for the complex and unpredictable home environment, Figure is creating a truly general-purpose platform capable of adapting to almost any task. The company's integrated focus on hardware, AI, and scalable production positions it to be a major force in bringing humanoids into the real world.
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AI Tools of the Day
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Sora Pivots to Social Media

The Recap: OpenAI's text-to-video generator, Sora, is rapidly evolving beyond a simple tool into a new kind of social media platform. It features a TikTok-style feed where users can share, consume, and remix AI-generated clips, driving massive user demand.
Unpacked:
Users can scan their face and voice to place a virtual version of themselves in any imaginable scenario, and even use friends' likenesses with permission.
The platform's best creators are already building massive followings, with Sam Altman leading at nearly 50,000 followers and the algorithm personalizing feeds based on user activity.
Demand for access is so intense that OpenAI has capped daily video creation at 30, and limited beta invites are being sold on eBay for under $50.
Bottom line: The swift transformation of a core AI feature into a full-scale social app highlights a powerful new product strategy. This ability to spin up entire platforms in weeks is what leads investors to believe OpenAI's $500 billion valuation may still be underestimated.
AI Training
The Recap: In this video, I'm going to show you how to build an AI automation that can generate unlimited e-commerce UGC video ads using Sora 2 for any product image you upload. It starts with a simple product image that you upload to kick off the automation, and then we're going to use Gemini 2.5 Pro to analyze that image and put together multiple UGC video scripts the best promote our product. After the scripts are written, we're finally going to use the store2 API to generate the final UGC videos.
P.S. We also launched a free AI Automation Community for those looking to build and sell AI Automations — Come join us!
AI's ROI Reality Check

The Recap: A new McKinsey report highlights a growing disconnect in the AI software market. Vendors are struggling to monetize AI features as customers push back on price hikes without seeing clear ROI or productivity gains.
Unpacked:
Many software firms are marketing potential AI use cases, but only 30 percent have published quantifiable results from actual customer deployments.
Customers are seeing IT costs rise, with one report suggesting a 60 to 80 percent price increase for AI-enabling a service stack, yet leaders say they can't reduce head count.
Purchasing decisions are shifting from IT departments to business leaders who are making direct budget trade-offs and demanding vendors prove value, not just list features.
Bottom line: The billions poured into AI development are meeting the hard reality of enterprise budgets that demand measurable results. This pressure will likely force a shift in the industry, pushing vendors to focus on delivering and proving tangible outcomes rather than just selling access to new technology.
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The Shortlist
Anthropic revealed that large language models can develop backdoors from as few as 250 malicious documents, a number that remains constant regardless of the model's size.
Antiparty published its "Living Thesis" for the Presence Engine, a framework designed to build AI with contextual memory and continuity rather than stateless task execution.
JPMorgan warned that much of the money invested in AI will "probably be lost," with CEO Jamie Dimon citing stretched valuations and comparing the hype to past tech bubbles.
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Signing off,
David, Lucas, Mitchell — The Recap editorial team