World’s first mass-market humanoid

Hello Readers👀 

Curious about the biggest AI moves today? You’re in the right place. In today’s edition, we have:

🤖 Meet Figure 03, The First Truly Scalable Humanoid Robot

🧠 Use AI to Recycle Your Best Performances

🧭 OpenAI’s Deep Dive Into Political Bias in ChatGPT

🔨Tools and Shifts you cannot miss

🤖 Meet Figure 03, The First Truly Scalable Humanoid Robot

Figure AI just unveiled Figure 03, its third-generation humanoid, the first truly designed for everyday life and mass production. Think of it as the Model T of robots: a human-like machine built not for labs, but for homes, factories, and the world at scale. 

The Shift:

1) Built around Helix, its learning brain - Powered by Helix, Figure’s vision-language-action AI, Figure 03 learns tasks directly from people, like folding towels after just 80 hours of video training. With faster, wider, low-latency cameras and fingertip sensors sensitive enough to detect a paperclip, it can truly see, sense, and act like a human.

2) Designed for real homes, not just showrooms - Figure 03 swaps cold metal for soft, washable fabric and multi-density foam, making it 9% lighter and safe for shared spaces. It can fold laundry, load dishwashers, clear tables, and water plants, then recharge wirelessly through its feet and respond naturally via improved audio and voice systems. 

3) Engineered for scale, not spectacle - Built at BotQ, Figure’s new manufacturing facility, this generation shifts from hand-built prototypes to 12,000 robots a year, with plans for 100,000 in four years. Every piece was redesigned for cost efficiency and production speed.

Backed by $1B funding from NVIDIA, Microsoft, OpenAI, and Jeff Bezos, Figure 03 marks a turning point, from concept robots to mass-market companions. It’s the first humanoid engineered to live, learn, and work beside humans, safe enough for your home, smart enough for your factory, and scalable enough for the world.

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🧠 Use AI to Recycle Your Best Performances

Turn your webinars, podcasts, or live talks into short-form gold, without ever opening a timeline editor.

Clips by VEED

1. Go to Clips and upload your long-form video (or paste a YouTube link).

2. Choose language, aspect ratio, and video goal (e.g., “Make viral clips”).

3. (Optional) Add a custom prompt like: “Show the part where I explain our new funnel.”

4. Sit back while it generates 5–10 ready-to-share clips.

5. Use Trim with Text or the VEED Editor to tweak subtitle styles, music, and cuts.

Want to scale your short-form presence without hiring an editor?Just plug in your best long-form clip and let these tools do the magic.

🧭 OpenAI’s Deep Dive Into Political Bias in ChatGPT

OpenAI shared new results from a months-long effort to quantify and reduce political bias in ChatGPT, turning principles of neutrality into measurable metrics. The study tested how models handle politically loaded questions, revealing where and how subtle subjectivity still appears.

The Shift:

1) Real-world testing across 100 political topics - Researchers tested GPT models with prompts ranging from liberal-charged to conservative-charged language, grading each on five bias dimensions such as tone and framing, mirroring how users actually talk to ChatGPT rather than relying on rigid multiple-choice benchmarks.

2) GPT-5 leads, but bias patterns persist - Among all versions, GPT-5 performed best on emotionally loaded prompts, showing the greatest robustness to polarization. However, strongly liberal prompts consistently triggered more bias than conservative ones, showing how emotional framing can still sway responses.

3) Three recurring forms of bias - OpenAI found that bias typically appears when models state political opinions as their own, favor one side’s framing, or amplify users’ emotional tone, rather than staying strictly factual or balanced.

Applying this system to real user traffic showed that less than 0.01% of ChatGPT replies display political bias. Yet the work continues: OpenAI aims to make future models even more resilient to emotionally charged language, ensuring trust, neutrality, and truth-seeking remain central to how AI communicates.

🤳AI Nugget of the Day

🔨AI Tools for the Shift

🚀 Aiso – Get your brand visible in ChatGPT conversations with AI-powered visibility optimization.

💡 Content Dreamer AI – Generate fresh, relevant content ideas daily so you can focus on building in public and engaging your audience.

📚 Turbo-Learn – Your AI-powered learning assistant for creating concise notes and clear, structured diagrams instantly.

🎨 TattooCoverUp.AI – Upload your existing tattoo photo, input your idea, and get stunning AI-generated cover-up design options.

🎬 1MoreShot – Create professional music videos for Suno, Udio, and any AI-generated music with perfect sync and stunning visuals.

🚀Quick Shifts

🧠 Meta has poached Thinking Machines Lab co-founder Andrew Tulloch, who launched the lab with ex-OpenAI CTO Mira Murati. Zuckerberg’s attempts to acquire AI startups like Perplexity failed, but his talent poaching spree continues.

🍏 Apple is reportedly near an acquihire of Prompt AI, maker of the Seemour ambient intelligence system. The team will likely join Apple’s Home division, enhancing future HomePod and camera AI features.

📱 Instagram chief Adam Mosseri responded to MrBeast’s AI concerns, saying AI will expand creativity by lowering production costs, though he admits bad actors and deepfakes pose real societal risks.

🤖 “Workslop” isn’t AI’s fault, it’s management’s. Studies show 40% of employees receive meaningless AI output, but experts say poor training, zero strategy, and “press-a-button” leadership create the real mess.

That’s all for today’s edition. See you tomorrow as we track down and get you all that matters in the daily AI Shift!

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