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First Steps with Your New Apple Device

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Tip 1 – Get a Case

Make sure you have a case and screen protector on your new iPhone and iPad. I don’t care if you don’t think you need one – you absolutely do. Accidents can happen as soon as you take your shiny new device out of the box. For iPhones, I highly recommend cases from Casetify. These are a bit premium in price but have trampoline-like features for impact resistance should you ever drop your phone, and protective rings around the camera unit as well.

Optional: You can also get cases and protective covers for your Apple Watch if you think you might accidentally scrape it against something, but it’s not as crucial as protecting your iPhone or iPad screen.

Tip 2 – Set up Find My on all devices

Another important step for setting up your new Apple device involves ensuring that you have Apple "Find My" set up so that you can locate your device should you ever need to track it down if the worst were to happen and it gets lost or stolen. It’s important that you set this up on your new device as soon as possible using the Find My app, because you need to activate Find My device first and sign in to your Apple ID before your tech becomes lost to be able to locate it.

Tip 3 – Invest in Procreate (for iPad)

On my last visit to Apple HQ in London, I was given a demo of Procreate, which is a premium iPad-exclusive app for digital painting and graphic design that you can purchase for a one-off price of $12.99. We love this app because it’s user-friendly for beginners but also has pro tools to assist professionals with whatever projects they’re working on. If you’re not a digital artist, then we have some other recommendations for some of the best iPad apps for designers to help you make the most out of your new tablet.

Conclusion

In conclusion, getting started with your new Apple device requires a few essential steps. First, make sure to get a case and screen protector for your iPhone and iPad to protect them from damage. Next, set up Find My on all devices to ensure you can locate them if they become lost or stolen. Finally, consider investing in Procreate for your iPad to unlock its full creative potential. By following these tips, you’ll be well on your way to enjoying your new Apple device to the fullest.

Frequently Asked Questions

Q: Do I really need a case and screen protector for my new Apple device?
A: Yes, accidents can happen, and a case and screen protector can save you from costly repairs.

Q: What’s the best way to set up Find My on my new Apple device?
A: Use the Find My app and activate Find My device first, then sign in to your Apple ID before your tech becomes lost.

Q: Is Procreate worth the investment for my new iPad?
A: Yes, Procreate is a premium app that offers user-friendly features for beginners and pro tools for professionals, making it a great investment for any creative.

Anthropic Secures $2 Billion Funding

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Anthropic, a San Francisco-based Artificial Intelligence Start-up, in Talks to Raise $2 Billion in New Funding

Anthropic, a San Francisco-based artificial intelligence start-up, is in talks to raise a new round of funding that could value the company at $60 billion, up from about $16 billion less than a year ago, according to two people with knowledge of the discussions.

New Funding Round Led by Lightspeed Venture Partners

Led by the venture capital firm Lightspeed Venture Partners, the new round could pump an additional $2 billion into the company, said the people, who spoke on the condition of anonymity. Since its founding in 2021, Anthropic has raised more than $11.3 billion from venture firms like Menlo Park Ventures and tech giants like Amazon, Google, and Salesforce.

A.I. Funding Surge Continues

The talks come amid a new surge in funding for the industry’s most prominent A.I. start-ups. Last month, Elon Musk’s xAI raised $6 billion in a deal that valued the company at $35 billion to $45 billion. In October, OpenAI, the maker of the online chatbot ChatGPT, raised $6.6 billion at a $157 billion valuation.

A.I. Boom and Funding Surge

OpenAI started the A.I. boom in late 2022 with the release of ChatGPT, setting off a funding surge that moved billions into a wide range of start-ups. Enthusiasm among investors for A.I. companies cooled by the summer of 2024, as several high-profile start-ups were essentially folded into tech giants like Google and Amazon. But as companies like OpenAI and Anthropic have continued to improve their technology, interest among investors has regained steam.

Company Background and Founding

After founding Anthropic, Dario Amodei, the company’s chief executive, and his sister, Daniela Amodei, Anthropic’s president, positioned the company as a start-up that would build A.I. with guardrails. Like several others on the company’s founding team, they had left OpenAI after disagreements with company leadership over how its technologies were being funded and released through Microsoft.

CEO’s Views on A.I. Risks and Benefits

In a podcast interview in 2023, Mr. Amodei said there was a 10 to 25 percent chance that A.I. technology could destroy humanity. But in October, he struck a more optimistic tone, publishing a 14,000-word essay on the potential benefits of A.I. technologies.

Conclusion

Anthropic’s potential new funding round is a testament to the growing interest in A.I. start-ups and the company’s continued progress in developing its technologies. As the A.I. industry continues to evolve, it will be important to monitor the company’s progress and the potential risks and benefits of its technologies.

FAQs

Q: Who is leading the new funding round for Anthropic?
A: The new funding round is led by Lightspeed Venture Partners.

Q: How much has Anthropic raised in funding so far?
A: Anthropic has raised more than $11.3 billion from venture firms like Menlo Park Ventures and tech giants like Amazon, Google, and Salesforce.

Q: What is the potential valuation of Anthropic after the new funding round?
A: The new funding round could value Anthropic at $60 billion, up from about $16 billion less than a year ago.

Q: What is the significance of OpenAI’s release of ChatGPT?
A: OpenAI’s release of ChatGPT started the A.I. boom in late 2022, setting off a funding surge that moved billions into a wide range of start-ups.

Q: What are the potential risks and benefits of A.I. technologies?
A: The potential risks of A.I. technologies include the possibility of destruction of humanity, while the potential benefits include the potential to improve many aspects of life, such as healthcare and education.

Cinema 4D Gets Laubwerk’s Large Plant Model Library

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Maxon Acquires Laubwerk: A Boost to 3D Modelling Software

Maxon, a company specializing in 3D modeling, animation, and rendering software, has announced the acquisition of Laubwerk, a provider of procedural 3D models of plants, trees, and flowers. This merger is expected to enhance Maxon’s offerings by providing a range of plant models for architectural visualisation, VFX, and general 3D art projects and animation.

Maxon One Subscribers to Enjoy New Assets

This news is a boon for Maxon One subscribers, who will have access to a fuller collection of plant models in the Capsules library. Currently, a selection of Laubwerk’s plant and tree models is available, and more is expected to come. Maxon One subscribers also get access to a range of other assets and software, making the package more compelling.

What Do the Companies Intend to Do?

In a press release, Philip Paar, CEO and Founder of Laubwerk, stated: “Joining forces with Maxon allows us to leverage their extensive resources and reach, enabling us to elevate our offerings and continue pushing the envelope in 3D plant modelling and visualisation. We look forward to the incredible new possibilities this union will bring to the industry.” Maxon is expected to do greater things, combining their expertise with Laubwerk’s high-quality plant models.

The Cost of Being a Maxon One Subscriber

Maxon One, which costs €1,425 per year, provides access to a range of software, including Cinema 4D, Redshift, ZBrush, and more. Along with the full stable of 3D modeling software, you also get the Capsules library and Cineversity Training resources.

But What If You’re Not a Maxon One Subscriber?

The acquisition may bring some challenges. Laubwerk’s website is no longer active, and currently, there’s no way to purchase their plant models for use with non–Maxon software. It is unclear what will happen to their existing customers using their plant models with other packages, such as 3ds Max and Maya.

A Conclusion

The acquisition of Laubwerk by Maxon is expected to bring significant improvements to the industry. With combined expertise and a range of assets, Maxon One subscribers and the wider creative community can anticipate exciting new developments in 3D modeling software.

Frequently Asked Questions

Q: What does Laubwerk sell?

A: Laubwerk sells collections of 3D plant and tree models used for architectural visualization, VFX, and 3D art projects.

Q: What is Capsules?

A: Capsules is a repository of assets for building 3D scenes, including, among other things, paper, stop motion clay materials, and 40 Adobe Substance 3D materials, which will be enhanced by Laubwerk’s plant models.

Q: What do Maxon One subscribers get?

A: Maxon One subscribers get access to a range of software, including Cinema 4D, Redshift, ZBrush, and more, as well as the Capsules library and Cineversity Training resources.

Q: What happens to Laubwerk’s existing customers?

A: The fate of Laubwerk’s existing customers is uncertain, as they will no longer be able to purchase plant models for use with non–Maxon software. Further developments are expected to be announced in the near future.

Nvidia Announces $3,000 Personal AI Supercomputer Called Project Digits

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Nvidia’s AI Supercomputer for Personal Use: Project Digits

Introduction

If you were looking for your own personal AI supercomputer, Nvidia has you covered. The chipmaker announced at CES it’s launching a personal AI supercomputer called Project Digits in May. The heart of Project Digits is the new GB10 Grace Blackwell Superchip, which packs enough processing power to run sophisticated AI models while being compact enough to fit on a desk and run from a standard power outlet.

What is Project Digits?

Project Digits looks like a mini PC, and it’s designed for data scientists, AI researchers, and students. Each system comes equipped with 128GB of unified, coherent memory and up to 4TB of NVMe storage. For even more demanding applications, two Project Digits systems can be linked together to handle models with up to 405 billion parameters.

Key Features

  • GB10 chip delivers up to 1 petaflop of AI performance (1 quadrillion AI calculations per second) at FP4 precision
  • Features Nvidia’s latest-generation CUDA cores and fifth-generation Tensor Cores, connected via NVLink-C2C to a Grace CPU containing 20 power-efficient Arm-based cores
  • Developed in collaboration with MediaTek to optimize power efficiency and performance
  • Users get access to Nvidia’s AI software library, including development kits, orchestration tools, and pre-trained models available through the Nvidia NGC catalog
  • Runs on Linux-based Nvidia DGX OS and supports popular frameworks like PyTorch, Python, and Jupyter notebooks

How Does it Work?

Users can develop and test their AI models locally on Project Digits, then deploy them to cloud services or data center infrastructure using the same Grace Blackwell architecture and Nvidia AI Enterprise software platform. The system is designed to be easy to use, with a user-friendly interface and a range of pre-trained models available for deployment.

Conclusion

Nvidia’s Project Digits is an exciting development in the world of AI, offering a powerful and accessible way for individuals to develop and deploy sophisticated AI models. With its compact design and affordable price tag, it’s likely to have a significant impact on the field of AI research and development.

Frequently Asked Questions

Q: What is the starting price of Project Digits?
A: $3,000

Q: What kind of processing power does Project Digits offer?
A: The GB10 chip delivers up to 1 petaflop of AI performance (1 quadrillion AI calculations per second) at FP4 precision.

Q: What kind of storage does Project Digits offer?
A: Each system comes equipped with up to 4TB of NVMe storage.

Q: What kind of AI software library is available with Project Digits?
A: Users get access to Nvidia’s AI software library, including development kits, orchestration tools, and pre-trained models available through the Nvidia NGC catalog.

Q: What kind of frameworks does Project Digits support?
A: The system runs on Linux-based Nvidia DGX OS and supports popular frameworks like PyTorch, Python, and Jupyter notebooks.

Soul of the Shop: Storefronts

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Vintage-Style Store Fronts

A Collection of Unique and Eye-Catching Store Fronts















Conclusion

The collection of vintage-style store fronts presented here showcases a range of unique and eye-catching designs. From the ornate details to the bold colors, each store front is a testament to the creativity and craftsmanship of the designers who created them.

Frequently Asked Questions

Q: What is the purpose of this collection?

A: The purpose of this collection is to showcase a range of vintage-style store fronts that demonstrate the creativity and craftsmanship of designers.

Q: Are these store fronts real?

A: Yes, the store fronts presented here are real, although they may not be actual storefronts.

Q: Can I use these images for my own project?

A: No, the images are copyrighted, and you should not use them without permission from the copyright holder.

Q: Are these store fronts available for purchase?

A: No, the store fronts presented here are not available for purchase.

Q: Can I request a specific type of store front?

A: Yes, you can request a specific type of store front, and we will do our best to accommodate your request.

Q: How can I contact the designers of these store fronts?

A: Unfortunately, the designers of these store fronts are not publicly known, as this is a curated collection of existing images.

AI Start-up Anthropic Nears $60bn Valuation

Artificial Intelligence Start-up Anthropic Secures $2bn Investment

Anthropic, a four-year-old artificial intelligence start-up, is close to securing a $2bn investment in a deal that would triple its valuation to $60bn. The company is in advanced talks with top Silicon Valley investors, including Lightspeed Venture Partners, according to sources familiar with the situation.

Advanced Talks with Top Investors

The round comes two months after Anthropic secured an additional $4bn investment from ecommerce giant Amazon, one of its closest partners. The company is expected to use the fresh capital to further develop its AI technology and expand its operations.

Massive Funding Deals for AI Companies

The $2bn investment in Anthropic is the latest massive funding deal for an AI company. In October, OpenAI raised $6.6bn in a round valuing the company at $157bn, while Elon Musk’s xAI, which has gained ground on rivals since launching in 2023, raised $6bn at a $45bn valuation in December.

Unprecedented Funding for Start-ups

The vast sums are almost unprecedented for venture capital-backed start-ups, which have historically gone public long before their valuations reached tens of billions of dollars. Last year, roughly half of the $209bn spent by US venture capitalists went to AI companies, according to data provider PitchBook.

Racing to Develop Cutting-Edge AI Models

Anthropic and rival start-ups such as xAI and OpenAI, as well as established Big Tech companies including Meta and Google, have been in a fierce race to develop cutting-edge AI models, which require billions of dollars to train and run. Investors are not anticipating start-ups in the sector will be profitable in the near future. Ultimately, though, they believe the technology could create trillions of dollars in value.

Focus on Safety and Progress

Anthropic, a San Francisco-based company, was founded in 2021 by former OpenAI employees with a focus on safety. It has been competitive with leading AI start-ups over the past year, and poached multiple staff from OpenAI in recent months. It was also first to release certain features such as the ability for its AI to control computers.

Breakthroughs in AI Technology

Leading AI companies, including Anthropic, have demonstrated progress towards models that show signs of “reasoning”, or being able to consider tasks rather than simply regurgitating information. They are also racing to create AI agents that can complete tasks for users.

Forecast for 2025

Executives in the sector have forecast 2025 will see more significant breakthroughs in AI technology, including potentially achieving artificial general intelligence — loosely defined as matching or surpassing human intelligence across a set of disciplines.

Conclusion

The massive funding deal for Anthropic is a testament to the growing importance of AI technology and the vast sums of money being invested in the sector. As the industry continues to evolve, it will be interesting to see how these companies use their funding to drive innovation and progress.

FAQs

Q: What is the valuation of Anthropic after the funding deal?

A: The valuation of Anthropic would triple to $60bn after the $2bn investment.

Q: Who are the investors involved in the funding deal?

A: The investors involved in the funding deal include Lightspeed Venture Partners and Amazon.

Q: What will the funding be used for?

A: The funding will be used to further develop Anthropic’s AI technology and expand its operations.

Q: What is the significance of the funding deal?

A: The funding deal is a testament to the growing importance of AI technology and the vast sums of money being invested in the sector.

Marketing Trends for 2025

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2024 Predictions Review

A Wave Of AI Improvements

I expected concrete features and feature improvements from AI – and I got it right. A lot of big sites shipped better experiences thanks to AI: Tripadvisor, Booking, Expedia, Trip.com, Nextdoor, Ebay, Amazon, and more. As I highlighted in my latest Travel deep dive, we’ve seen the first real results from AI Features: TripAdvisors review pages doubled in organic traffic after adding AI-generated review summaries.

The bigger picture: AI trickles through all aspects of Product. The key to monetization is making it useful – not just cool. And 2024 is the year we’ve seen the first prototypes, like natural language search or AI reviews.

AI-Driven SEO Tools

In 2024, the major SEO tool vendors added multiple AI features to their platforms:

  • Semrush (source):
    • Demand forecast.
    • Personal Keyword Difficulty.
    • Keyword Strategy Builder.
  • Ahrefs (source)
    • AI Keyword Suggestions.
    • AI Search Intent.
    • AI Content Helper.
    • AI Translations.

AI doesn’t just transform the search experience but the tools SEOs use every day.

Google/Microsoft Build Powerful AI Agents Based On Your Emails

In September 2023, Google’s B…sync" src="https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822.png" alt="" width="1080" height="1080" class="wp-image-536826 size-full" srcset="https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822.png 1080w, https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822-480×480.png 480w, https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822-680×680.png 680w, https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822-384×384.png 384w, https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822-768×768.png 768w, https://www.searchenginejournal.com/wp-content/uploads/2025/01/predictions-15-822-1024×1024.png 1024w" sizes="(max-width: 1080px) 100vw, 1080px" loading="lazy"/>Image Credit: Kevin Indig

What:

  • The new, AI-personalized shopping experience behind Google’s shopping tab will become the default search experience in the main tab for shopping-related queries.

Why:

  • Google often treats tabs as a beta environment for new experiences. In 2020, Google already made the shopping tab the default experience before.
  • Google wants to break Amazon’s e-commerce dominance to unlock more revenue growth, especially as AI disrupts the classic search results.

Implications:

  • Personalized results are harder to track. If the current shopping tab becomes the default, average search results might become even harder to track than they already are due to product grids. As a result, marketers need to optimize based on the little data Google still provides or lean on other ways to understand whether they optimize in the right direction or not.

AI-generated Audio And Video Hits Mass Adoption

What:

  • We’ll see a lot more Youtube channels and podcasts use AI-generated b-roll and ads.

Why:

  • The technology is getting there: Elevenlabs launched a new voice generator like NotebookLM and Google’s Veo 2, and OpenAI’s Sora should soon come off the waitlist.
  • If the success of NotebookLM’s podcasting feature has shown us one thing, it’s that multi-modal AI output is getting ready for showtime.

Implications:

  • Production cost of video and audio formats will sink dramatically.
  • Deception and clickbait could reach new highs.

Google And Apple Divorce

What:

  • Google ends exclusivity agreements with Apple, Samsung and other suppliers amid the DoJ antitrust lawsuit.

Why:

  • Google itself suggested loosening its agreements (source) in an attempt to mitigate possible remedies.
  • The DoJ antitrust lawsuit initially focused on those agreements. The ruling judge (Mehta) made it very clear in his memo that he’s not a fan.

Implications:

  • Google won the search game, so I don’t expect remedies to change that. Instead, any remedies will impact Google’s position in the AI game.
  • Losing exclusive distribution agreements could mean that Google has to fight for its position instead of winning by default on over half the market.

Apple Or OpenAI Announce Smart Glasses

What:

  • Apple or OpenAI will join the smart glasses market with a device announcement to compete with Meta.

Why:

  • Meta seems to be running away with smart glasses. Meta Ray Bans make up 60% of purchases in Ray Ban stores.
  • The smart glasses market is on track to hit $4 billion by 2030, offering a billion-dollar opportunity for the winner.

Implications:

  • Owning a successful hardware device with mass adoption could be a valuable defense to OpenAI or another fruitful business to Apple.
  • For marketers, the implications could be a change in consumer behavior, like more live streams, or new content formats, like smart glasses answers. However, adoption is still so far out, and the implications are so unclear that it’s hard to predict where things are going.

Conclusion

In 2024, we saw a wave of AI improvements, AI-driven SEO tools, and the emergence of new AI-powered features. The implications of these trends are far-reaching and will continue to shape the future of marketing, search, and technology.

FAQs

Q: What are the key takeaways from the 2024 predictions?
A: The key takeaways are the wave of AI improvements, AI-driven SEO tools, and the emergence of new AI-powered features.

Q: How will AI impact the search experience?
A: AI will continue to transform the search experience, making it more personalized and relevant to users.

Q: What are the implications of Google and Apple ending their exclusivity agreements?
A: The implications are that Google will have to fight for its position in the AI game, and Apple may gain a new business opportunity.

Q: What are the implications of AI-generated audio and video hitting mass adoption?
A: The implications are that production costs will sink dramatically, and deception and clickbait could reach new highs.

Foundation Models to Advancing Physical AI

In the fast-evolving landscape of AI, it’s becoming increasingly important to develop models that can accurately simulate and predict outcomes in physical, real-world environments to enable the next generation of physical AI systems.

Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to discuss the significance of world foundation models (WFM) — powerful neural networks that can simulate physical environments. WFMs can generate detailed videos from text or image input data and predict how a scene evolves by combining its current state (image or video) with actions (such as prompts or control signals).

Why Are World Foundation Models Important?

Building world models often requires vast amounts of data, which can be difficult and expensive to collect. WFMs can generate synthetic data, providing a rich, varied dataset that enhances the training process.

In addition, training and testing physical AI systems in the real world can be resource-intensive. WFMs provide virtual, 3D environments where developers can simulate and test these systems in a controlled setting without the risks and costs associated with real-world trials.

Open Access to World Foundation Models

At the CES trade show, NVIDIA announced NVIDIA Cosmos, a platform of generative WFMs that accelerate the development of physical AI systems such as robots and self-driving cars.

The platform is designed to be open and accessible, and includes pretrained WFMs based on diffusion and auto-regressive architectures, along with tokenizers that can compress videos into tokens for transformer models.

Liu explained that with these open models, enterprises and developers have all the ingredients they need to build large-scale models. The open platform also provides teams with the flexibility to explore various options for training and fine-tuning models, or build their own based on specific needs.

Enhancing AI Workflows Across Industries

WFMs are expected to enhance AI workflows and development in various industries. Liu sees particularly significant impacts in two areas:

“The self-driving car industry and the humanoid [robot] industry will benefit a lot from world model development,” said Liu. “[WFMs] can simulate different environments that will be difficult to have in the real world, to make sure the agent behaves respectively.”

For self-driving cars, these models can simulate environments that allow for comprehensive testing and optimization. For example, a self-driving car can be tested in various simulated weather conditions and traffic scenarios to help ensure it performs safely and efficiently before deployment on roads.

In robotics, WFMs can simulate and verify the behavior of robotic systems in different environments to make sure they perform tasks safely and efficiently before deployment.

Conclusion

World foundation models have the potential to revolutionize the development of physical AI systems, enabling them to simulate and predict outcomes in complex, real-world environments. With NVIDIA Cosmos, developers and enterprises now have access to powerful, open-world models that can accelerate the development of these systems.

FAQs

What are world foundation models?
World foundation models are powerful neural networks that can simulate physical environments, generate detailed videos from text or image input data, and predict how a scene evolves by combining its current state with actions.

Why are world foundation models important?
Building world models often requires vast amounts of data, which can be difficult and expensive to collect. WFMs can generate synthetic data, providing a rich, varied dataset that enhances the training process. They also provide virtual, 3D environments where developers can simulate and test physical AI systems in a controlled setting without the risks and costs associated with real-world trials.

What is NVIDIA Cosmos?
NVIDIA Cosmos is a platform of generative world foundation models that accelerate the development of physical AI systems such as robots and self-driving cars. The platform is designed to be open and accessible, and includes pretrained WFMs based on diffusion and auto-regressive architectures, along with tokenizers that can compress videos into tokens for transformer models.

What industries will benefit from world foundation models?
WFMs are expected to enhance AI workflows and development in various industries, particularly in the self-driving car industry and the humanoid [robot] industry, where they can simulate different environments and ensure that agents behave correctly.

AI could ‘disappear into the background’ in 2025

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3D Art in 2025: AI, Predictions, and Trends

Dade Orgeron’s Vision

Hearing Shutterstock’s Dade Orgeron, VP of Innovation, say AI could "disappear into the background" in 2025 as it becomes genuinely useful is a refreshing message as we begin the new year.

Reflecting on 2024

Reflecting on 2024, one of the biggest 3D art trends, it would be easy to pick up where 2024 left off and feel despondent, but maybe this is the year when AI art tools become just that, tools for artists.

Expert Insights

I caught up with three pros working in the 3D art industry, from Shutterstock, Leica Geosystems, and VFX studio Whiskytree to hear what they think 2025 will see and how things will change.

Whiskytree’s Brian Meanley

Brian Meanley, VFX Supervisor at Whiskytree, says it’s been a "transformative year for the VFX industry" with AI dominating conversations and workflows. He adds, "These technologies have introduced notable efficiencies, particularly in areas like asset generation and animation, but the rapid pace of development has left many evaluating how best to integrate them thoughtfully – balancing innovation with maintaining artistic integrity."

Leica Geosystems’ Andy Fontana

Andy Fontana, Technical Product Specialist at Leica Geosystems, reveals how the use of LiDAR technology had increased in 2024, for virtual productions and LED walls. "Studios are under pressure to find new ways to get the most out of their productions and think outside the box," says Andy. "We’ve seen some amazing teams build creative workflows and pipelines with LiDAR data to position individual LED walls and create coordinate systems for camera tracking equipment to produce the most accurate visual possible for the camera pose."

Shutterstock’s Dade Orgeron

Dade Orgeron, VP of Innovation at Shutterstock, expects to see an evolution of trends that began in 2024 as generative AI tools evolve from promising concepts into robust, professional-grade solutions – even disappearing into the background in some cases. "In a small way, generative AI has already begun automating tasks like modeling, texturing, and rigging. Still, I expect the coming year will bring more refined, reliable, and deeply integrated tools into professional pipelines."

Conclusion

As we look to 2025, it’s clear that AI will continue to play a significant role in the 3D art industry. With experts predicting the rise of generative AI, NeRFs, and Gaussian splats, the possibilities for creativity and innovation are vast. As Dade Orgeron puts it, "The evolution of generative AI and collaborative technologies should empower artists and studios to iterate more quickly, experiment creatively, and produce high-quality work with far less time and effort."

Frequently Asked Questions

Q: What is the future of AI in 3D art?
A: AI is expected to become more integrated into professional pipelines, automating tasks and enhancing efficiency.

Q: What are NeRFs and Gaussian splats?
A: NeRFs (Neural Radiance Fields) and Gaussian splats are technologies used for capturing and reconstructing realistic 3D environments from 2D data.

Q: How will AI affect the 3D art industry in 2025?
A: AI will continue to transform the industry, enabling faster iteration, more creative experimentation, and higher-quality output.

Q: What are the key trends to watch in 2025?
A: Generative AI, NeRFs, Gaussian splats, and LiDAR technology are expected to shape the 3D art industry in 2025.

The Future of Energy

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Climate Contradictions

Last week, Microsoft announced that it would spend approximately $80 billion during this fiscal year to build data centers for its booming artificial intelligence business. That gargantuan sum is a testament to the opportunity that Microsoft and other tech giants see in A.I.

The Opportunity and the Challenge

It also has the makings of a climate conundrum. In order to power all of those data centers, Microsoft and other tech companies building similar projects are going to need huge amounts of electricity. That means ever greater strains on a power grid that is still, to a significant extent, fueled by natural gas, and to a lesser extent, coal.

The Climate Impact

In the next three years alone, data centers are expected to as much as triple their energy use, according to a new report supported by the U.S. Department of Energy. Under that forecast, data centers could account for as much as 12 percent of the nation’s electricity consumption by 2028. McKinsey & Company, the international consulting firm, expects global demand for data centers to grow at roughly 20 percent a year through the end of the decade.

Climate Contradictions

There’s rich irony in the fact that it is Microsoft and other tech companies that are responsible for a surge in energy demand, and thus an uptick in planet-warming emissions. For the past decade, these same companies have been leading corporate America’s efforts to combat global warming. There was Microsoft’s promise in 2020 to remove all of its historic emissions from the atmosphere. And Amazon’s climate pledge. And Google’s net-zero goals. Now those same companies are watching their climate targets recede thanks to their big bets on A.I.

The Promise of A.I.

A.I. evangelists at these companies say their technology is poised to improve energy efficiency around the world and deliver breakthroughs in the production of clean power. If this comes to pass, today’s spike in emissions will be just a short-term disruption to their climate goals.

Renewable Energy and Nuclear Power

Microsoft and Google have both reported sharp jumps in their emissions in recent years because of the soaring energy needs of data centers. While that may seem like the makings of a giant contradiction, it could turn out to be a good thing, in the long term, for the future of clean power. A.I. could also lead to a renaissance in nuclear power, as companies like Microsoft and Google invest in small, modular reactors that are designed to be more efficient and safer than traditional nuclear plants.

Natural Gas and Carbon Capture

The scramble to meet the energy demands of data centers is leading to a flurry of investments in natural gas. Gas is the largest source of power for the U.S. grid, accounting for about 42 percent of electricity generation. And given the number of gas-fired power plants already out there, it’s also the fuel source that is easiest to scale up quickly to meet the additional demand coming from data centers. But burning natural gas releases potent planet-warming emissions. While it emits less carbon dioxide than coal and oil, burning gas releases lots of methane, which traps heat in the atmosphere. A new generation of technology, carbon capture and storage (CCS), has the potential to make natural gas less polluting. But carbon capture technology is expensive, and its widespread deployment is a long way off.

Conclusion

In the long term, could artificial intelligence help solve climate change? That’s the hope, and it’s a vision shared not just by the executives who stand to profit from the A.I. boom. Whether it’s making traffic patterns and airline routes more efficient, optimizing the way electricity flows through the power grid or identifying new technological breakthroughs, A.I. proponents say that the technology has the potential to help save more power than it consumes.

Frequently Asked Questions

Q: What is the impact of A.I. on the climate?
A: A.I. is expected to have a significant impact on the climate, with data centers set to triple their energy use in the next three years, leading to increased planet-warming emissions.

Q: What are the challenges of meeting the energy demands of data centers?
A: The challenges include the need for huge amounts of electricity, which puts a strain on the power grid, which is still largely fueled by natural gas and coal.

Q: Can A.I. help solve climate change?
A: Yes, A.I. proponents say that the technology has the potential to help save more power than it consumes, making it a key player in the fight against climate change.

Q: What are the alternatives to natural gas for meeting energy demands?
A: The alternatives include nuclear power, which is seeing a resurgence in popularity, and renewable energy, which is becoming increasingly cost-competitive with fossil fuels.