Can Amazon make wearable AI work?

Amazon makes its AI wearables move

Amazon is acquiring Bee, the startup behind a $50 AI bracelet that records conversations and turns them into reminders.

Surveying the competition: Wearables are hard.

• First came the Humane AI pin in 2024, then Rabbit’s R1 earlier this year. Both hyped ambient AI devices that flopped with sluggish performance and steep price tags.

• For its part, Meta is taking the smart glasses route to AI-enabled wearables. And OpenAI, in collaboration with Jony Ive’s hardware studio, is working on a non-wearable “third device” alongside your phone and laptop.

Now? Amazon (long focused on in-home Alexa devices for its hardware offering) is betting there’s room on your wrist for something new.

Why Bee stood out: Bee didn’t have a breakout hit, but it got a few things right. It offered a compelling real-world use case (capturing and recalling conversations) at an accessible price point. Bee also has stronger privacy commitments than many of its peers—like no saved audio, verbal consent protocols, and plans for on-device AI processing. Amazon hasn’t promised to keep the privacy features intact, though.

Your guide to the Trump administration’s AI roadmap

President Donald Trump just unveiled his long anticipated AI Action Plan—the administration’s vision for deregulated, pro-corporate, and ideologically “neutral” AI.

The quick backstory: This plan is the White House’s blueprint for accelerating American AI development. It replaces the Biden-era order that emphasized safety, fairness, and transparency with a more aggressive focus on speed, global dominance, and ideological oversight.

What’s in the plan?

• Infrastructure: Fast-track AI data center permitting and modernize the power grid

• Innovation: Block state-level AI laws and back copyright flexibility for model training

• Influence: Export American chips and models as the international default

One headline order: AI companies with federal contracts (think: OpenAI, Google, xAI) must prove their models are politically neutral and unbiased—the Trump administration’s latest effort to combat what it considers to be “woke” ideology pervasive across Silicon Valley.

AI boom drives record energy costs, and a call for more power plants

PJM Interconnection, America’s largest power grid operator, just committed a record $16.1B to keep up with soaring demand driven largely by power-hungry AI data centers.

The quick backstory: PJM’s grid powers much of the Midwest and East Coast—plus the country’s highest domestic concentration of data centers. Record prices at annual power auctions like the one PJM just held are a signal that operators are short on capacity as large-load data centers gobble up power across the grid. So? Operators have a new message for developers—if you want to build here, bring your own power.

• Google inked a $3B, 3GW hydropower deal in Pennsylvania to fuel its $25B data center expansion.

• Microsoft is partnering with Constellation to power cloud services using electricity from the Three Mile Island nuclear plant.

• xAI imported an entire power station to Tennessee because it couldn’t get grid access fast enough.

We Tested GPT, Claude, and Gemini So You Don’t Have To

The right AI assistant can transform your workflow but not all of them deliver. This side-by-side comparison cuts through the hype to help you pick the best tool for your team:

• Real-world benchmarks for ChatGPT, Claude, and Gemini

• Use case breakdowns across content, support, and strategy

• Clear pros and cons to guide smarter tool adoption

• Insights into which AI actually performs where it counts

No fluff. Just a field-tested guide to help you work smarter with AI. Skip the trial and error.

Talk to your data like it’s ChatGPT

You can ask Dot to pull reports, explain trends, or surface insights across your stack, all in natural language. It integrates with Slack and Teams, supports multiple languages, and doesn’t require a lick of SQL.

An example: Here’s how sales reps might use Dot ➡️ 

• Ask “How’s our sales team doing?” and get a breakdown by product, category, AOV, and customer segment

• Summarize last quarter’s KPIs and get a Slack-ready executive update

• Trace a revenue dip to discount abuse, underperforming SKUs, or customer churn

• Get follow-up questions from the AI itself when your query isn’t specific enough

Pricing: Free & paid

Turn your voice rambles into notes

Mumble Note transcribes, summarizes, tags, and rewrites your spoken thoughts. It can extract decisions, analyze screenshots, and even learn your vocabulary over time. 

How you can use it:

• Record a brainstorm, then say “summarize this project” to get a clean note across all your recordings

• Snap a photo of a whiteboard and have Mumble extract text and action items

• Add follow-up thoughts to a note without starting over

• Auto-sync AI-suggested to-dos with your calendar

Pricing: Free & paid