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Rethinking Technology’s Role in the AI Era

Emerson Blake
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Rethinking Technology’s Role in the AI Era

Rethinking IT Operating Models for the Modern Enterprise

Generative AI, agentic AI, and other emerging technologies are transforming companies and driving businesses to rethink organizational structures and traditional roles.

Technology-First Focus Across the C-Suite

A technology-first focus across the C-suite means answering the following questions: CEO — how do I use technology to drive growth?; CIO — how do I use technology to deliver value to the business?; CXO — how do I use technology to make my function more productive and efficient?

Rethinking Technology and the Role of IT

Rethinking technology and the role of IT will drive a shift from the traditional model to a business technology-focused model. One example will be the shift from one large, dedicated IT team that traditionally handles an organization’s technology needs, overseen and directed by the CIO, to more focused IT teams that will perform strategic, high-value activities and help drive technology innovation strategy as Gen AI handles many routine IT tasks.

New Framework for Rethinking the Role of Technology

Accenture identifies a new framework for rethinking the role of technology and the evolving nature of IT in the modern tech-led enterprise:

  • Amplified Intelligence: Considers how human and machine capabilities will drive new efficiencies and significant change in how technology is managed and governed.
  • Dynamic Skills: Considers how new tools, service delivery models, and roles drive the need for continuous learning and upskilling — and unleashing the power of IT.
  • Fluid Boundaries: Considers how access to data and technology is democratized across the business, resulting in flatter organizations and cross-functional teams.
  • Adaptable Structures: Considers how AI is changing employee motivation and resetting expectations of how teams are structured and its dynamics as humans and machines collaborate.

Amplified Intelligence

The key insights for amplified Intelligence focus on the future of digital labor and the impact of AI in business. Accenture identifies three key takeaways:

  • Breakthroughs in human and machine intelligence require business leaders to improve their fluency and technical acumen.
  • AI agents and cognitive digital brains will deliver a generational leap forward in how technology supports IT teams.
  • A culture of trust is needed for new technologies to deliver business value, driving the need for responsible AI at scale.

Cognitive Digital Brain

The rise of AI agents and the cognitive digital brain will reshape the IT function and its responsibilities. Crucially, Accenture suggests the most important feature of AI is its ability to learn.

Opportunities for Action

Accenture shared lessons on the reinvention of IT based on over 2,000 AI-led projects with clients around the globe. Here are the key actions leaders can take now:

  • Reimagine your business through technology: Connect every point of your IT strategy to the business agenda and create clear metrics that link every technology initiative to a specific business outcome.
  • Flatten hierarchies with a tech-adept leadership and workforce: Create new, hybrid roles that combine business and technical expertise.
  • Accelerate AI adoption with partnerships: Build a strategic technology partner ecosystem with complementary capabilities that fill talent and technology gaps.

Conclusion

Rethinking IT operating models for the modern enterprise requires a technology-first focus across the C-suite and a shift from traditional models to business technology-focused models. By embracing amplified intelligence, dynamic skills, fluid boundaries, and adaptable structures, organizations can unlock new efficiencies and drive growth.

FAQs

  • Q: What is amplified intelligence?
    A: Amplified intelligence refers to the future of digital labor and the impact of AI in business, where human and machine capabilities drive new efficiencies and significant change in how technology is managed and governed.
  • Q: What is a cognitive digital brain?
    A: A cognitive digital brain is a system that can understand — and increasingly act — at a higher level than ever before, comprised of four interconnected layers: knowledge, models, agents, and architecture.
  • Q: What are the key takeaways for amplified intelligence?
    A: Breakthroughs in human and machine intelligence require business leaders to improve their fluency and technical acumen; AI agents and cognitive digital brains will deliver a generational leap forward in how technology supports IT teams; and a culture of trust is needed for new technologies to deliver business value.
  • Q: What are the opportunities for action?
    A: Leaders can take action by reimagining their business through technology, flattening hierarchies with a tech-adept leadership and workforce, and accelerating AI adoption with partnerships.

Meta Releases Two Llama AI Models

Avery Winslow
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Meta Releases Two Llama AI Models

Meta Unveils Llama 4: A New Collection of AI Models

Meta has announced Llama 4, a new collection of AI models that power the Meta AI assistant on the web and in WhatsApp, Messenger, and Instagram. The new models are designed to improve the performance and capabilities of Meta’s AI assistant, and are available for download from Meta or Hugging Face.

Llama 4 Models

The Llama 4 collection includes two new models: Llama 4 Scout and Llama 4 Maverick. Llama 4 Scout is a small model that can fit in a single Nvidia H100 GPU, while Llama 4 Maverick is a larger model that is more akin to GPT-4o and Gemini 2.0 Flash. Meta is also working on a third model, Llama 4 Behemoth, which is expected to be the highest-performing base model in the world.

Performance Benchmarks

According to Meta, Llama 4 Scout has a 10-million-token context window and outperforms other models, including Google’s Gemma 3 and Gemini 2.0 Flash-Lite, as well as the open-source Mistral 3.1, across a broad range of widely reported benchmarks. Llama 4 Maverick also outperforms other models, including OpenAI’s GPT-4o and Google’s Gemini 2.0 Flash, and is comparable to DeepSeek-V3 in coding and reasoning tasks using less than half the active parameters.

Llama 4 Behemoth

Llama 4 Behemoth has 288 billion active parameters with 2 trillion parameters in total. While it hasn’t been released yet, Meta says Behemoth can outperform its competitors on several STEM benchmarks. Meta CEO Mark Zuckerberg has described Behemoth as the highest-performing base model in the world.

Architecture and Licensing

Meta has switched to a “mixture of experts” (MoE) architecture for Llama 4, which conserves resources by using only the parts of a model that are needed for a given task. The company plans to discuss future plans for AI models and products at its LlamaCon conference, which is taking place on April 29th. As with its past models, Meta calls the Llama 4 collection “open-source,” although the license restrictions have been criticized by some in the open-source community.

Conclusion

Meta’s Llama 4 collection is designed to improve the performance and capabilities of its AI assistant, and offers a range of new models and features. While the license restrictions have been criticized, the new models offer significant improvements in performance and capabilities.

FAQs

Q: What are the features of Llama 4 Scout and Llama 4 Maverick?
A: Llama 4 Scout is a small model that can fit in a single Nvidia H100 GPU, while Llama 4 Maverick is a larger model that is more akin to GPT-4o and Gemini 2.0 Flash.

Q: How does Llama 4 Scout compare to other models?
A: According to Meta, Llama 4 Scout outperforms other models, including Google’s Gemma 3 and Gemini 2.0 Flash-Lite, as well as the open-source Mistral 3.1, across a broad range of widely reported benchmarks.

Q: What is the purpose of Llama 4 Behemoth?
A: Llama 4 Behemoth is expected to be the highest-performing base model in the world, and will be used to power Meta’s AI assistant on the web and in WhatsApp, Messenger, and Instagram.

Q: What is the license restriction for Llama 4?
A: The Llama 4 license requires commercial entities with more than 700 million monthly active users to request permission from Meta before using its models.

Studio Ghibli Dreams in ComfyUI

Phil
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Studio Ghibli Dreams in ComfyUI

ChatGPT’s Studio Ghibli Style Conversion: A Step-by-Step Guide

ChatGPT recently introduced the ability to convert user-uploaded photos into Studio Ghibli-style aesthetics. While the free plan is slow, the paid version offers faster processing. But what if you’re not satisfied with the results? Can you create your own workflow to achieve the desired outcome? The answer is yes, and it’s easier than you think.

Using ComfyUI for Image-to-Image Processing

Image-to-image processing in ComfyUI is the key to creating your own Studio Ghibli-style workflow. You can use a fast/turbo SDXL (Stable Diffusion XL) model with a Studio Ghibli LoRA to generate the desired result. Here’s a step-by-step guide on how to do it:

Creating the Workflow

I found a workflow on my computer that I had downloaded earlier, and I modified it to get the results I wanted. The workflow uses Florence2Model to help interpret the image and supply it as a prompt. This model is downloaded automatically the first time you run the workflow and saved locally for future use.

Modifying the Workflow

To get the desired results, I added a color correction node that improves the vibrancy of the output image. The output image is only a preview, so you can replace it with a Save Image node if you want to save the results.

Batch Processing

If you want to batch process images, consider using my WW Image Batch Loader node, which can interrogate a batch folder and load images one by one to process in your workflow.

Downloading the Workflow

You can download the workflow in a zip file containing two formats: PNG and JSON. Simply unzip the file and drag either of the files into ComfyUI to load the workflow.

Results

Here are some of the results I was able to achieve with this workflow:

…

Conclusion

With this step-by-step guide, you can create your own Studio Ghibli-style workflow using ComfyUI and Image-to-Image processing. While the free plan may be slow, the paid version offers faster processing. Whether you’re a tech-savvy individual or just looking for a creative outlet, this workflow is a great way to achieve the desired outcome.

Frequently Asked Questions

Q: What is ComfyUI?
A: ComfyUI is a software that allows you to create workflows for image-to-image processing.

Q: What is Stable Diffusion XL (SDXL)?
A: SDXL is a fast/turbo model used in ComfyUI for image-to-image processing.

Q: How do I download the workflow?
A: You can download the workflow in a zip file containing two formats: PNG and JSON. Simply unzip the file and drag either of the files into ComfyUI to load the workflow.

Q: Can I modify the workflow?
A: Yes, you can modify the workflow by adding or removing nodes to achieve the desired outcome.

Q: How do I batch process images?
A: You can use my WW Image Batch Loader node to interrogate a batch folder and load images one by one to process in your workflow.

Building Brand Authority

Jordan Waverly
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Building Brand Authority

The Intersection of E-E-A-T and AI-Generated Answers

The rise of AI-generated search results presents both opportunities and challenges for brands. AI-powered features like Google’s AI Overviews, ChatGPT search integrations, and Perplexity AI are synthesizing answers instead of just returning traditional blue links. This means that appearing in AI-driven answers requires more than just good SEO – it requires E-E-A-T-backed authority.

Key Considerations for Ensuring Visibility in AI Search Features

  • Experience: AI models favor content backed by first-hand knowledge. Brands that demonstrate real-world expertise through case studies, original research, and hands-on experience have a greater chance of being cited.
  • Expertise: AI-generated answers prefer sources with clear subject matter expertise. Author bylines, credentials, and expert contributions all signal trustworthiness to AI-driven search.
  • Authoritativeness: AI Overviews and LLM-generated answers prioritize brands that own their knowledge graph, are widely referenced, and are recognized leaders in their industry.
  • Trustworthiness: AI-generated content is acceptable to use (in that it is not inherently “bad” or penalized) but must be factually accurate and verifiable. Content backed by reliable sources, citations, and transparent authorship is more likely to surface in AI-generated search features.

AI Overviews and E-E-A-T: What Google’s Latest Research Reveals

Google’s recent post on AI Overviews and AI Mode highlights how AI-generated search experiences are evolving and underscores the importance of E-E-A-T in shaping AI-driven responses.

Google Integrates E-E-A-T into AI Overviews

  • AI Overviews leverage Google’s ranking systems and Knowledge Graph to determine which sources are most authoritative. (Hint: Ensure your Knowledge Graph exists and is accurate!)
  • E-E-A-T signals directly influence which websites AI Overviews pull from, reinforcing the need for brands to establish themselves as leading authorities.

High-Quality Sources Are a Requirement

  • AI Overviews corroborate AI-generated summaries with top-ranked content, (theoretically) ensuring the information is reliable.
  • For Your Money or Your Life (YMYL) queries, the bar for trustworthiness is even higher, emphasizing the importance of expert-driven content. (This is why author biographies with CVs, other credentials, and proof of expertise are necessary.)

AI Overviews Increase Engagement with High-Quality Content

  • Google reports that users who interact with AI Overviews visit a greater diversity of websites and that click-throughs from AI Overviews are of higher quality.
  • This presents an opportunity for brands with strong E-E-A-T signals to attract engaged visitors who trust the AI-curated results (but click through to verify).

Challenges in Applying E-E-A-T to AI-Generated Search

  • 1. AI Prioritizes Recognized Authorities: Simply optimizing for E-E-A-T is not enough. Brands must become the trusted source that AI search engines consistently reference.
  • 2. Potential for Misinformation: AI-generated search results can fabricate statistics, misquote sources, or create misleading narratives. Brands must actively monitor AI-generated mentions for accuracy.
  • 3. Duplicate and Unoriginal Content: AI often pulls from widely cited knowledge bases, meaning brands that don’t produce original insights and research risk being ignored.
  • 4. Algorithmic Bias and Filtering: AI search models prioritize widely referenced sources, which can disadvantage emerging brands. Overcoming this requires strategic partnerships, citations, and broad industry engagement.

AI’s Tendency to Be "Confidently Wrong"

A March 2025 study by the Columbia Journalism Review found that AI-powered search tools frequently provide incorrect answers with “alarming confidence.” The study tested eight major AI search engines and found that chatbots collectively provided inaccurate answers more than 60% of the time, nearly always without acknowledging uncertainty.

Strategies for Strengthening E-E-A-T in AI-Driven Search

  • 1. Own and Optimize Your Knowledge Graph: Ensure Google’s Knowledge Graph accurately represents your brand. Claim your entity in Google Search and establish schema markup for credibility.
  • 2. Demonstrate Real-World Expertise: Publish original research, case studies, and expert insights. Engage in media interviews, guest contributions, and speaking engagements.
  • 3. Become the Primary Source of Industry Insights: Publish thought leadership pieces, whitepapers, and research reports.
  • 4. Monitor and Influence AI Search Results: Actively track how AI-generated answers represent your brand. Engage with AI search models via feedback loops and corrections.
  • 5. Leverage Thought Leadership Beyond Your Website: Be featured on authoritative platforms, podcasts, and news outlets. Participate in peer-reviewed research and industry collaborations.

Conclusion

E-E-A-T is the key to visibility in AI-driven search – but it’s not just about optimization. Brands must become the expert sources AI models trust, reference, and cite. Those who invest in credibility, expertise, and real-world authority will survive in AI-powered search landscapes, and those who don’t will fade into irrelevance.

FAQs

Q: What is E-E-A-T and why is it important?
A: E-E-A-T is a set of principles that determine the authority and trustworthiness of a source. It stands for Expertise, Authoritativeness, Trustworthiness, and Experience.

Q: How can I improve my E-E-A-T signals?
A: You can improve your E-E-A-T signals by owning and optimizing your Knowledge Graph, demonstrating real-world expertise, becoming the primary source of industry insights, and monitoring and influencing AI search results.

Q: Why is it important to be the primary source of industry insights?
A: Being the primary source of industry insights establishes your brand as a thought leader and increases the likelihood of being cited and referenced by AI search models.

Q: How can I ensure the accuracy of AI-generated answers?
A: You can ensure the accuracy of AI-generated answers by verifying information through independent sources and actively monitoring AI-generated mentions for accuracy.

Bring Ghibli Wonder to Your Photos

Phil
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Studio Ghibli Dreams in ComfyUI

Converting Images to Studio Ghibli Style with ComfyUI and SDXL

ChatGPT recently introduced a feature that allows users to convert their photos into Studio Ghibli-style aesthetics. While this feature works well, it can be slow with the free plan, and the paid version is faster. However, for those who want more control over the process, it’s possible to achieve similar results using ComfyUI and Image to Image processing.

Getting Started with ComfyUI

If you’re new to ComfyUI, it’s essential to understand the basics before diving into the workflow. You can find a comprehensive tutorial on getting started with ComfyUI in the post "Getting Started with ComfyUI in 2025." This tutorial covers the main things you need to know to get started with ComfyUI.

The Workflow

To achieve the Studio Ghibli style, you can use a workflow that employs the Image to Image processing in ComfyUI. The workflow uses a fast/turbo SDXL (Stable Diffusion XL) model with a Studio Ghibli LoRA to generate the desired result. The workflow can be downloaded in a zip file containing two formats: PNG and JSON. Simply unzip the file and drag either of the files into ComfyUI to load the workflow.

Workflow Details

Here’s a step-by-step guide to the workflow:

  1. Import the workflow into ComfyUI.
  2. Install the Missing Custom Nodes.
  3. Download the necessary items, including the Florence2Model, which helps interpret the image and supplies it as a prompt.
  4. Install the WW Image Batch Loader node, which can be used to batch process images.
  5. Run the workflow, and the output will be a preview of the image in the desired Studio Ghibli style.

Customizations and Improvements

Since creating the workflow, a color correction node has been added to improve the vibrancy of the resulting image. The output image is a preview, and you can replace it with a Save Image node to save the final result.

Batch Processing

If you want to process multiple images at once, consider using the WW Image Batch Loader node, which can interrogate a batch folder and load images one by one for processing in your workflow.

Results

Here are some examples of the results that can be achieved with this workflow:

[Insert images of the results]

Conclusion

Converting images to Studio Ghibli style using ComfyUI and SDXL is a fun and creative way to add a touch of nostalgia to your photos. With the right workflow and a little patience, you can achieve professional-looking results without breaking the bank.

Frequently Asked Questions

  • Q: What is ComfyUI?
    A: ComfyUI is a visual programming interface for working with AI models, including Image to Image processing.
  • Q: What is the difference between the free and paid plans for ChatGPT?
    A: The paid plan offers faster processing times and more features than the free plan.
  • Q: Can I use this workflow with other AI models?
    A: Yes, you can experiment with different models and settings to achieve different results.
  • Q: How do I batch process multiple images?
    A: You can use the WW Image Batch Loader node to load images from a batch folder and process them one by one.

Microsoft AI Skills Fest

Emerson Blake
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Microsoft AI Skills Fest

Microsoft’s AI Skills Fest: A Festification of Gamification

I know you’ve heard of gamification, but have you ever heard of festification? That’s what Microsoft will be doing in April and May, with the Microsoft AI Skills Fest. It’s a little odd, but it also looks like it might be a heck of a lot of fun.

Going for a Guinness World Record

Microsoft is serious about this, too. It involved the actual Guinness World Records organization in its plans.

As it turns out, you can get a world record for almost anything. Sure, you can get a world record for the most spoons balanced on a body, the fastest 100-meter sprint on all fours, being the world’s tallest man, and having the most apples held in your own mouth and cut by a chainsaw.

But Microsoft is trying for a world record in (and I swear I did not make this up) "the most users to complete an online multi-level artificial intelligence lesson in 24 hours."

Free AI Training for Everyone

Microsoft’s attempt to win bragging rights benefits you and me because we get some free AI training out of the deal. The multi-level quest involves sequential stages, ranging from an introduction to AI, core concepts like machine learning, computer vision, and natural language processing, to practical tools (Azure and Copilot, ‘natch), and building some apps on your own.

Prizes, Discounts, and Participation Awards

If you don’t want to pay for certifications, you may be in luck. If you enter the Microsoft AI Skills Fest Challenge Sweepstakes (another name I couldn’t make up), you may be able to win one of 50,000 free certification vouchers awarded during weekly drawings.

Register Now

I’m going to do it. I registered at the Microsoft AI Skills Fest registration page. I told them I’m over 18 (if not emotionally, at least physically). I checked the statement that made it all seem oh-so-real: "If I participate in the Al Skills Fest Event world record attempt, I hereby authorize Microsoft to act as my representative and to enter into the applicable agreement with Guinness World Records on my behalf and I acknowledge that I have reviewed the applicable terms of the Guinness World Records Terms and Conditions."

Conclusion

What about you? Have you ever spent time browsing the Guinness World Records just to see the wild, creative, or inspiring things people have accomplished? Were there any records that surprised you or made you curious to learn more?

FAQs

Q: What is the Microsoft AI Skills Fest?
A: The Microsoft AI Skills Fest is a free online training program that aims to teach users about artificial intelligence (AI) and its applications.

Q: What is the Guinness World Record attempt?
A: The Guinness World Record attempt is an event where Microsoft is attempting to set a new record for the most users to complete an online multi-level artificial intelligence lesson in 24 hours.

Q: What kind of AI training is offered?
A: The training program offers courses on topics such as machine learning, computer vision, and natural language processing, as well as practical tools like Azure and Copilot.

Q: Are there any prizes or discounts available?
A: Yes, there are prizes and discounts available. Participants can win one of 50,000 free certification vouchers awarded during weekly drawings, and GitHub is offering a 50% discount code for GitHub’s newest certification exam.

Q: How do I register for the Microsoft AI Skills Fest?
A: You can register for the Microsoft AI Skills Fest by visiting the registration page and filling out the required information.

Meta Releases Llama 4

Avery Winslow
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Meta Releases Llama 4

Meta Releases Llama 4 AI Models with Improved Capabilities and Balance

Introduction

Meta has released a new collection of AI models, Llama 4, as part of its Llama family. The new models, including Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth, were trained on large amounts of unlabeled text, image, and video data to provide a broad visual understanding.

New Features and Architecture

Llama 4 is the first cohort of models to use a mixture of experts (MoE) architecture, which is more computationally efficient for training and answering queries. MoE architectures break down data processing tasks into subtasks and delegate them to smaller, specialized "expert" models. This architecture allows for more efficient processing and better performance.

Llama 4 Models

  • Scout: Scout has 17 billion active parameters, 16 experts, and 109 billion total parameters. It has a very large context window of 10 million tokens, allowing it to process and work with extremely lengthy documents. Scout is best for tasks like document summarization and reasoning over large codebases.
  • Maverick: Maverick has 400 billion total parameters, but only 17 billion active parameters across 128 "experts." It is best for "general assistant and chat" use cases like creative writing. According to Meta’s internal testing, Maverick exceeds models like OpenAI’s GPT-4o and Google’s Gemini 2.0 on certain coding, reasoning, multilingual, long-context, and image benchmarks.
  • Behemoth: Behemoth has 288 billion active parameters, 16 experts, and nearly two trillion total parameters. It will require even beefier hardware to run. Meta’s internal benchmarking has Behemoth outperforming GPT-4.5, Claude 3.7 Sonnet, and Gemini 2.0 Pro on several evaluations measuring STEM skills like math problem solving.

Tuning and Balance

Meta has tuned all of its Llama 4 models to refuse to answer "contentious" questions less often. According to the company, Llama 4 responds to "debated" political and social topics that the previous crop of Llama models wouldn’t. Llama 4 is also "dramatically more balanced" with which prompts it flat-out won’t entertain.

Concerns about Bias

Some have raised concerns about the balance of AI chatbots, accusing them of being too politically "woke." However, bias in AI is an intractable technical problem. Meta’s Llama 4 models aim to provide helpful, factual responses without judgment, and the company is continuing to make Llama more responsive to answer more questions and respond to a variety of different viewpoints.

Availability and Licensing

Scout and Maverick are openly available on Llama.com and from Meta’s partners, including the AI dev platform Hugging Face. Behemoth is still in training. Users and companies "domiciled" or with a "principal place of business" in the EU are prohibited from using or distributing the models due to governance requirements imposed by the region’s AI and data privacy laws.

Conclusion

Meta’s Llama 4 models mark the beginning of a new era for the Llama ecosystem. With their improved capabilities and balance, these models are set to revolutionize the way we interact with AI. However, the debate about bias and balance in AI chatbots continues to rage on.

FAQs

Q: What is the Mixture of Experts (MoE) architecture?
A: The MoE architecture is a more computationally efficient way of training and answering queries by breaking down data processing tasks into subtasks and delegating them to smaller, specialized "expert" models.

Q: What are the key features of Llama 4 Scout?
A: Scout has 17 billion active parameters, 16 experts, and 109 billion total parameters. It has a very large context window of 10 million tokens, allowing it to process and work with extremely lengthy documents.

Q: What is the difference between Llama 4 Scout and Llama 4 Maverick?
A: Scout is best for tasks like document summarization and reasoning over large codebases, while Maverick is best for "general assistant and chat" use cases like creative writing.

Q: Are Llama 4 models biased?
A: Meta has tuned its Llama 4 models to refuse to answer "contentious" questions less often and to respond to a variety of different viewpoints.

Q: Are Llama 4 models available for use in the EU?
A: No, users and companies "domiciled" or with a "principal place of business" in the EU are prohibited from using or distributing the models due to governance requirements imposed by the region’s AI and data privacy laws.

Over 1,200 Rallies Worldwide Protest Trump and Musk

Avery Winslow
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Over 1,200 Rallies Worldwide Protest Trump and Musk

People Gather to Protest "Illegal, Billionaire Power Grab" by Trump and Musk

Protests Spread Across the United States and Globally

People are gathering in cities all over the United States and globally to protest what they are calling an "illegal, billionaire power grab" by President Donald Trump and Elon Musk. The protests are being organized by over 150 different organizations, including civil rights groups, labor unions, and LGBTQ+ advocates, and span more than 1,200 locations.

Protests Targeting Tesla Showrooms

Last weekend, "Tesla Takedown" protests targeted Tesla showrooms around the country to show disapproval for Musk, its CEO, who has spearheaded an effort to carry out mass federal workforce layoffs and hollow out government agencies. As Tesla’s sales have plummeted this quarter, Musk has threatened to "go after" the company’s critics, while the FBI has created a task force to investigate individual acts of vandalism and other actions aimed at the company.

Broader Protests Targeting Trump and Musk

The scope of these protests is much broader, targeting both Trump and Musk, who the Hands Off website accuses (accurately) of "shuttering Social Security offices, firing essential workers, eliminating consumer protections, and gutting Medicaid."

Protests Across the Country

Protests are taking place in major cities like New York City, Washington, D.C., and Chicago, as well as smaller towns and cities across the country. In Milwaukee, Wisconsin, thousands of people gathered to protest, with photos showing a massive crowd. In Boston, thousands are seen in a video from today. In St. Paul, Minnesota, aerial footage showed a massive crowd gathered at the State Capitol building.

Protests Overseas

Protests are also taking place overseas, in cities like Berlin, Germany and London, England.

Protests in Small Towns

It’s not just major cities. Hundreds appear to have shown up to protest in cities like St. Augustine, Florida, which the US Census Bureau estimates has less than 16,000 people, and Riverhead, New York, where only about 36,000 people live. Cars honked in apparent support of a protest in Manhattan, Kansas (under 54,000 residents), according to the Bluesky user who posted this video. A similar scene plays out in this video, apparently taken in Kitty Hawk, North Carolina, a town of fewer than 4,000 people, today.

Gallery of Images

Here’s a gallery with some more images taken by Sato, Toman, and The Verge’s Chris Welch:

Conclusion

The protests are a display of widespread opposition to the actions of Trump and Musk, and a call to action for those who want to see a more just and equitable society.

FAQs

Q: What are the protests about?
A: The protests are about opposing what is being called an "illegal, billionaire power grab" by President Donald Trump and Elon Musk.

Q: Who is organizing the protests?
A: The protests are being organized by over 150 different organizations, including civil rights groups, labor unions, and LGBTQ+ advocates.

Q: How many locations are participating in the protests?
A: The protests span more than 1,200 locations across the United States and globally.

Q: Are the protests peaceful?
A: Yes, the protests are being described as peaceful and orderly, with attendees listening quietly to speakers and occasionally chanting in response.

Google’s NotebookLM can gather your research sources for you now – and it’s free

Emerson Blake
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Google’s NotebookLM can gather your research sources for you now – and it’s free

Google’s NotebookLM AI Can Now Find the Right Sources for Your Project All on Its Own

How it Works

Google’s NotebookLM is a handy note-taking service, ideal for putting together any type of project that requires extensive research. Normally, you have to gather and add the necessary sources, which NotebookLM then incorporates into your project. Now, the service promises to save you even more time by collecting the right sources on its own.

The New Feature: Discover

In a blog post published Wednesday, Google announced a new NotebookLM tool known as Discover. Instead of manually scouring the web for the right sources, just describe the topic you’re researching. NotebookLM surfs the web on its own and automatically creates a curated list of relevant sources.

How to Try It Yourself

To try this out, head to the NotebookLM page and sign in with your Google account. Click the Create new button to kick off a new project. At the window to add sources, select the button for "Discover sources from the web." Type a description of your topic. If you’re stumped, click the "I’m feeling curious" button to explore a random topic chosen by the AI.

What You Can Do with the Sources

With the sources added, you can ask NotebookLM to generate a study guide, a briefing document, an FAQ, and even a timeline. Even cooler, you can ask for a podcast that features two AI-generated but human sounding hosts chatting about your topic. You’re also able to request a summary and ask questions about the topic as covered by the sources.

My Experience

On my end, I asked it to find sources for a topic on 14-inch and 15-inch laptops with the best tactile feel keyboards and the best battery life. After submitting my description, NotebookLM quickly found 10 sources. I chose to import them all and was then able to request the briefing document, other notes, and listen to a podcast on my topic.

Conclusion

The new feature is certainly a time saver since you don’t have to manually look for every possible source on your own. And Google seems to have other tricks up its sleeve for NotebookLM.

FAQs

Q: How does the Discover feature work?
A: The Discover feature uses AI to find and collect relevant sources for your notebook. You simply describe the topic you’re researching, and NotebookLM surfs the web to find the best sources.

Q: How many sources can I import?
A: You can import up to 10 sources with the Discover feature.

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La invasión de los robots

Avery Winslow
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La invasión de los robots

Una mañana reciente, llamé a la puerta de una bonita casa de dos pisos en Redwood City, California.

El robot que me abrió la puerta

En cuestión de segundos, abrió la puerta un robot sin rostro vestido con un mono beige que se ajustaba a su ceñida cintura y a sus largas piernas. Este esbelto humanoide me saludó con un acento que parecía escandinavo y le ofrecí la mano. Cuando nuestras palmas se encontraron, dijo: “Tengo un apretón firme”.

La inteligencia artificial ya conduce coches, escribe ensayos e incluso escribe código informático. Ahora, los humanoides, máquinas construidas para parecerse a los humanos y potenciadas por la IA, están a punto de instalarse en nuestros hogares para ayudarnos en las tareas cotidianas.

La empresa 1X

1X es una empresa emergente que se encuentra entre las decenas de compañías que planean vender humanoides e introducirlos tanto en los hogares como en las empresas. Los inversores han invertido 7200 millones de dólares en más de 50 empresas emergentes desde 2015, según PitchBook, una empresa de investigación que realiza un seguimiento del sector tecnológico.

El robot Neo

Neo es el nombre del robot que he conocido en la casa de Bernt Børnich, el director ejecutivo y fundador de 1X. Neo es un humanoide de 1.67 metros y 29 kilos que puede caminar, limpiar, abrir puertas y realizar tareas domésticas. Sin embargo, aún no es perfecto y puede tropezar o no saber muy bien qué hacer en ciertas situaciones.

El futuro de los humanoides

La empresa 1X espera colocar su robot en más de 100 hogares de Silicon Valley y otros lugares antes de fin de año. Sin embargo, Børnich reconoce que hay muchos desafíos por superar antes de que los humanoides sean lo suficientemente avanzados para ser vendidos en grandes cantidades. "Lo que vendemos es más un viaje que un destino", dijo. "Va a ser un camino muy accidentado, pero Neo hará cosas realmente útiles".

Privacidad y seguridad

La privacidad y seguridad son un tema importante en cuanto a la utilización de humanoides en los hogares. 1X ha diseñado un sistema que permite a los propietarios controlar el robot y dar permiso para que los técnicos trabajen desde centros de llamadas remotos. Sin embargo, hay preocupaciones sobre cómo se manejarán los datos recopilados por los humanoides y cómo se protegerán los derechos de los propietarios.

Conclusión

Los humanoides están a punto de instalarse en nuestros hogares para ayudarnos en las tareas cotidianas. Sin embargo, aún hay muchos desafíos por superar antes de que estos robots sean lo suficientemente avanzados para ser vendidos en grandes cantidades. La privacidad y seguridad son un tema importante que debe ser abordado por las empresas que desarrollan humanoides.

FAQs

¿Qué es un humanoide?

Un humanoide es un robot construido para parecerse a los humanos y potenciado por la inteligencia artificial. Los humanoides pueden realizar tareas que requieren habilidades similares a las de los humanos, como caminar, limpiar y realizar tareas domésticas.

¿Qué es 1X?

1X es una empresa emergente que desarrolla humanoides y los venderá en los hogares y empresas.

¿Qué puede hacer Neo?

Neo es un humanoide que puede caminar, limpiar, abrir puertas y realizar tareas domésticas. Sin embargo, aún no es perfecto y puede tropezar o no saber muy bien qué hacer en ciertas situaciones.

¿Es seguro utilizar un humanoide en mi hogar?

La seguridad y privacidad son un tema importante en cuanto a la utilización de humanoides en los hogares. 1X ha diseñado un sistema que permite a los propietarios controlar el robot y dar permiso para que los técnicos trabajen desde centros de llamadas remotos. Sin embargo, hay preocupaciones sobre cómo se manejarán los datos recopilados por los humanoides y cómo se protegerán los derechos de los propietarios.

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