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So, what’s the big deal? Microsoft is building a new AI agent inside its popular Microsoft 365 Copilot tool; and it wants this agent to work a lot like the fan-favorite open-source tool called OpenClaw.
Remember OpenClaw? Well it’s that super-smart robot helper that lives on your computer. You tell it what to do through apps like WhatsApp or Telegram, and it quietly handles your emails, schedules, and web browsing while you go "touch some grass."
Microsoft confirmed to The Information that these new features will target enterprise customers; promising tighter security controls than OpenClaw currently offers. And hey, that last part is vital: OpenClaw, as cool as it is, has a bit of a "bull in a china shop" reputation in corporate settings.
Why Microsoft Needs the Win This
OpenAI, Anthropic, and the open-source community are enabling powerful "agentic" AI that handles productivity functions like spreadsheets and slide decks. This is an area where Microsoft must compete or risk being left behind by agile AI startups.
The AI Army: Microsoft has already tapped Anthropic’s Claude to power its Copilot Cowork product.
Team "Ocean 11": A small internal team nicknamed "Ocean 11"; led by Corporate VP Omar Shahine, is building an assistant that works in the background and takes action without constant prompts.
And while OpenClaw technically runs on Windows, the Mac Mini has quietly become the go-to platform for the community.
In fact, the small, cube-shaped desktops have been selling like hotcakes specifically for this purpose so yeah, Microsoft is not just racing against startups, it is racing against a tiny silver cube sitting on your desk.
When Can You See It?
The company is expected to show off this new Claw-inspired tool at its Microsoft Build conference in June. so mark your calendars!
Here's what we have for you today
🕵️♂️ Stanford's 2026 AI Index Reveals a Shocking Divide Between AI Experts and the Public
AI Generated
Stanford University just dropped its annual AI Index report; and the numbers are giving "two completely different planets."
The 2026 report, released Monday, found that AI experts and everyday people are drifting further apart in how they feel about artificial intelligence. Public anxiety is rising sharply around jobs, healthcare, and the overall economy; creating a disconnect that is becoming impossible to ignore.
Here is the wild part: a whopping 84% of AI experts believe AI will have a mostly positive impact on medical care over the next 20 years. Meanwhile, only 44% of the general public agrees. That is not just a gap; it is a canyon.
On Jobs: 73% of experts felt upbeat about AI's effect on the workplace, while only 23% of the public shared that optimism.
On the Economy: 69% of experts said AI would be a net positive, compared to just 21% of regular people.
The Translation: The people building the robots are cheering, while the people whose jobs might be replaced by those robots? Considerably less enthusiastic.
And if you want proof this frustration has gone way beyond survey forms, look no further than what happened at OpenAI CEO Sam Altman's home, as well as the reaction that followed it.
When AI insiders on X reacted with shock to a wave of Instagram comments that appeared to celebrate the attack, many in the tech world admitted they had no idea public sentiment had turned so dark. The energy in those comment sections reportedly mirrored the online reactions following the United Healthcare CEO shooting in 2024.
Ultimately, the thermometer is not reading "optimistic." Because when comment sections start sounding like calls for revolution, you know something has gone very wrong in the communication between those building the tech and those living with it.
The report also highlights a Gallup poll showing that Gen Z is leading the backlash. Despite roughly half of Gen Z using AI daily or weekly, they are growing increasingly angry about its expansion. I mean, using a tool every day while resenting its existence is a very specific, and potent, kind of frustration. But that's not all:
Only 10% of Americans say they feel more excited than worried about AI’s role in daily life.
Only 31% of Americans trust their government to regulate AI responsibly; the lowest figure across all nations surveyed.
For comparison, Singapore leads that metric at 81%.
Globally, optimism about AI nudged up from 55% to 59% between 2024 and 2025, but nervousness about it went up too, from 50% to 52%.
So yeah, people are warming up to AI and getting more anxious about it at the exact same time. That is not a contradiction. That is just where we are right now. It turns out you can appreciate something and still lose sleep over it.
The Bottom Line:
The gap between Silicon Valley's confidence and Main Street's concern is no longer background noise. It is getting loud; and Stanford just turned up the volume. The question isn't whether the tech works, it's whether the public will let it move forward if they don't feel like they're on the winning side.
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Now we're raising capital to open a second manufacturing facility in Denver in 2026, doubling our production capacity.
The housing crisis needs scalable solutions. We're building them.
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🧱 Around The AI Block
🤬 AI keeps claiming to know stuff It doesn’t.
🛜 The largest orbital compute cluster is open for business.
🤔 Meta is creating an AI version of Mark Zuckerberg so staff can talk to the boss.
🫣 OpenAI pivots to Amazon, blames Microsoft for client limits.
🏢 OpenAI opens first permanent London office amid Stargate pivot.
🧠 Elon Musk's brain implant promises clash with scientific limits.
🛠️ Trending Tools
For Financial Intelligence: Google Finance AI is a real-time market tracker that uses conversational AI to visualize stock and crypto trends. It provides personalized news summaries and allows you to ask complex, plain-English questions about security performance and historical data directly in the search bar.
For AI-Powered Commerce: Shopify AI Toolkit is the developer-first bridge that connects AI agents (like Claude Code or Cursor) directly to your Shopify store via MCP plugins. It provides the agent with live API schemas and validation docs, allowing for "zero-guesswork" app building and store management through natural language.
For Top-Tier Video: HappyHorse-1.0 is Alibaba’s 15B-parameter video model that currently holds #1 on the Artificial Analysis rankings. It generates 1080p text-to-video and image-to-video clips with native lip-sync in seven languages, outperforming Seedance 2.0 in temporal consistency.
For Autonomous Engineering: GLM 5.1 is a massive 754B-parameter open-weight model built for long-horizon tasks. It is the first open-source model to rival Claude 4.6 in code quality, plus, it is capable of operating autonomously for up to 8 hours straight to plan, code, and deliver entire technical repositories.
🤖 AI Workout Of The Day: The Ultimate Report Generator Prompt
Writing reports can be time-consuming and overwhelming, especially when you need them to be well-structured, clear, and professional.
With this prompt, you can turn raw data, research notes, or ideas into polished reports, complete with headings, sections, summaries, and actionable insights, without losing clarity or focus.
Here’s How to Use This Prompt Effectively
Provide the Context: Give the AI the subject, purpose, and audience of the report. This helps it tailor tone, detail, and style.
Include Your Data or Notes: Add any relevant facts, figures, research, or observations you want included.
Specify the Structure: Indicate if you want a specific format (e.g., executive summary, introduction, analysis, recommendations, conclusion).
Set the Tone & Style: Choose whether the report should be formal, professional, analytical, persuasive, or conversational.
Review & Customize: After getting the output, you can tweak sections or ask for more depth in certain areas.
💡 Prompts to try:
You are an expert report writer. I will provide you with the topic, purpose, audience, and any relevant data, research notes, or key points. Using this information, generate a well-structured report that includes:
-Structure the report with clear sections such as Title, Executive Summary, Introduction, Main Body (with headings/subheadings), Analysis, Conclusions, and Recommendations.
-Highlight key findings, insights, and trends from the data or sources provided.
-Use clear, professional, and coherent language suitable for the intended audience.
-Include bullet points, tables, or charts where appropriate to enhance clarity.
-Summarize the report at the end with actionable recommendations or key takeaways.
Ensure the final output is polished, well-organized, and ready to share or present.Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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