Practical nail art guidance and the return of Beetles Nailed It invite nail lovers to recreate, remix, and share.
NEW YORK, Nov. 10, 2026 /PRNewswire/ -- Ahead of Black Friday and Cyber Monday, Beetles Gel Polish is pairing DIY tutorials, a community creative challenge, and curated collections with seasonal savings. This unified campaign is designed to take nail lovers on a journey from initial holiday inspiration to hands-on creation, helping them discover the perfect products and techniques to express their festive style right from the comfort of home.
Get Inspired, Recreate, and Remix
From festive colors to Christmas nail designs, the holiday season offers endless possibilities for self-expression. Through Beetles Nailed It: Holiday Edition, Beetles Gel Polish shares weekly "Hero Looks" and DIY tutorials on @beetlesgelpolish, inviting nail lovers to Recreate a featured design or Remix it with their own colors and details.
Find the Right Products for Your Look
Whether trying nail art for the first time or exploring a new style, nail lovers can choose products that fit their creative goals.
- Beetles Winter Wonderland Gel Polish Box
For those exploring festive color combinations and textured effects, this 24-shade collection includes holiday reds, greens, and shimmering tones. A dual-ended magnet creates velvet cat-eye effects, while stickers and nail art tools allow users to personalize their designs. Its holiday-train packaging also makes it a great holiday gift option. - Beetles Emotional Spectrum Christmas Gel Nail Kit
For beginners exploring DIY nail art, this all-in-one kit includes 35 gel colors, an LED lamp, nail tips, and essential tools. Users can easily start creating festive snowflakes, polka dots, and other designs at home. - Beetles Glow French Press-On Nails Kit
For those who prefer a ready-made design, this pink French tip press-on kit eliminates the need to hand-paint French tips. Users can wear them as a classic, elegant manicure or add their own festive nail art for a personalized holiday look.
Beetles Nailed It: Holiday Edition, the Recreate or Remix challenge, runs through December 13. Participants can submit photos of their holiday manicures through the official campaign page for a chance to win the Beetles Christmas Miracle Express Advent Calendar.
"We believe the joy of nail art isn't just discovering a look you love, but bringing it to life with your own hands," said a spokesperson for Beetles Gel Polish. "This holiday season, we hope to inspire nail lovers of all skill levels to try new styles with confidence and celebrate the creative satisfaction of a manicure made entirely their own."
Black Friday and Cyber Monday Details
To inspire beauty lovers to dive into DIY nail art, Beetles Gel Polish will kick off its seasonal shopping event from November 19 through December 2, offering up to 70% off select favorites, alongside special $2.99 pricing and exclusive gift-with-purchase rewards.
Shoppers can explore these festive offers on the Beetles Gel Polish Amazon Store, join the community initiative on the Official Website, and follow @beetlesgelpolish for daily manicure inspiration.
About Beetles Gel Polish
Beetles Gel Polish is a global at-home nail brand built on the belief that its success begins with helping users achieve the nail looks they envision. Through a wide range of nail products, trend-inspired colors, and practical DIY guidance, the brand helps nail lovers turn inspiration into reality, build confidence, and express their creativity.
Learn more at: https://www.beetlesgel.com/pages/blogs
Media Contact
Beetles Gel Polish PR Team
brand@beetlesgel.com
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Beetles Gel Polish Helps Nail Lovers Create Their Own Holiday Manis with Curated Products and DIY Tutorials
The company says AI's next bottleneck isn't chips or power, it's finding the metal to wire it all together. Working with Nvidia, Its chief scientist calls Tau 3.8 an "AlphaGo moment for geology"
TORONTO and ADELAIDE, Australia, Nov. 11, 2026 /PRNewswire/ -- Fleet Space Technologies (Fleet), the space and AI company backed by In-Q-Tel and Teachers' Venture Growth (TVG), the late-stage venture and growth investment arm of Ontario Teachers' Pension Plan, today launched Tau 3.8 in the United States and Canada, an AI "world model" for mineral systems.
Trained on ten million synthetic geological worlds, Tau combines Fleet's 3D seismic intelligence with drilling, geology, geophysics and mineralogy data. It reconstructs hidden geology, ranks targets for resource expansion and identifies which new measurement would most reduce uncertainty, so mining companies can decide where to drill next with far more confidence.
North America's AI build-out is running into a physical limit: copper. Every data center, transmission line and grid upgrade needs it. S&P Global forecasts that data-center copper demand will more than double, from 1.1 million metric tons in 2025 to 2.5 million metric tons by 2040, with AI training accounting for 58% of that demand by 2030. Copper is one of six priority minerals in Canada's Critical Minerals Strategy, yet Canadian copper production fell by nearly 25% between 2014 and 2023, according to Natural Resources Canada. At the same time, the US now relies on imports for 57% of the copper it consumes, up from 45% a year earlier, according to the US Geological Survey.
Most of the debate about AI's limits has focused on chips and power. Fleet argues the deeper constraint is discovery. Finding and expanding the deposits that must supply the industry is still slow, expensive and uncertain, and billion-dollar decisions rest on drillholes that sample only a fraction of the ground beneath them.
"North America is building an AI economy on a mineral base it hasn't yet found," said Fleet Co-Founder and CEO Flavia Tata Nardini. "Hyperscalers can order more GPUs and sign new power deals, but they can't order a copper deposit into existence. The gap between what these economies need and what the industry can bring online is widening and mineral discovery has become a constraint on growth itself. Companies have spent years collecting drilling and survey data. Tau brings it together in one model so teams understand the orebody sooner and every foot drilled is worth more."
"Toronto is where much of modern AI was pioneered and it's where the world finances its mines. Those two worlds haven't spoken to each other nearly enough," Flavia said. "Tau is what happens when they do. The capital that funds exploration gets a sharper answer on where to drill before the money goes into the ground. Faster, more capital-efficient exploration is how supply keeps pace with the economy AI is creating."
Fewer dry holes
Drilling is typically the largest cost in mineral exploration and a single deep diamond drillhole can cost hundreds of thousands of dollars. By predicting copper grades more accurately from the drilling already in hand, Tau shows teams where grade is likely to continue and where it isn't, so fewer holes end in barren ground. Companies can prioritize their highest-value targets and define and expand resources with less drilling, in less time and at lower cost.
At ATEX Resources' Valeriano copper-gold project in Chile, Tau combined Fleet's ambient noise tomography (ANT) and magnetotelluric (MT) surveys with Comet and machine learning. Tested on drillholes held back from it, the model predicted copper grades with 38% less error than a conventional geostatistical estimate (kriging) built from the same drilling. On the deepest step-out holes, the error was up to 67% lower.
Fleet is already being used in the field, from Pakistan to Canada's Athabasca Basin. Projects include Barrick's Reko Diq copper-gold project in Pakistan, Lundin Gold's Fruta del Norte gold mine in Ecuador, Fermi Exploration's Perch River project in the Athabasca Basin, Southern Cross Gold's Sunday Creek gold-antimony project in Victoria, Australia and Alkane Resources' Boda-Kaiser copper-gold project in New South Wales. Fleet's wider customer base includes Gold Fields, Rio Tinto, Ma'aden, Standard Uranium, IsoEnergy, Q2 Metals and France's geological survey, BRGM.
World models, applied to the planet
World models, AI systems that learn how the physical world behaves rather than predicting the next word, have become one of the most closely watched frontiers in AI. Most of the attention has gone to robotics, video and autonomous vehicles. Fleet has applied the approach to an environment that is far harder to observe than any road or factory floor: the Earth's subsurface.
"Putting a wrapper around a large language model does not create a world-class geologist," said Fleet Chief Scientific Officer Dr. Gerrit Olivier. "Mineral systems are three-dimensional, buried and understood through observations that are sparse and costly to acquire. Fleet's approach was to build ten million simulated geological environments, model what seismic sensors and drillholes would detect in each, and train Tau to infer the geology between those partial measurements."
"World models learn the structure, geometry and composition of the physical world itself. We now appear to have crossed a critical threshold: a model trained in synthetic worlds can make predictions and guide exploration decisions using real-world data. I believe this marks an AlphaGo moment for geology."
Why seismic matters
AI can generate millions of plausible versions of what lies underground, but many of them will fit the same sparse data. Seismic provides the physical evidence to tell them apart, constraining the depth, geometry, orientation and continuity of structures in the vast volumes between drillholes.
"Seismic narrows the geological possibilities between drillholes, so teams can answer the questions that drive capital decisions: where the deposit extends, how deep it runs, and where the next foot of drilling will add the most value," Olivier said.
This integration is Fleet's advantage: Tau tests competing predictions against measurable physical properties of the subsurface rather than relying on geological plausibility alone. As new data arrives, the model updates its picture and recommends the next measurement, an approach Fleet calls Agentic Geoscience.
"Tau does not remove the geologist from the decision," Flavia said. "It gives them a quantified view of uncertainty before the drill bit provides the answer."
Built with the North American AI ecosystem
Tau was developed by specialists in seismology, geology, geophysics, applied mathematics and machine learning, including geoscientists with more than 200 years of combined experience across 400-plus programs and machine-learning leaders from Caltech and the University of Oxford. Fleet is working with Nvidia on the accelerated computing infrastructure needed to train the next generation of high-resolution subsurface models.
Fleet is an industrial affiliate of Stanford University's Mineral-X program, which connects researchers and industry on AI, geoscience and decision-making under uncertainty. Tata Nardini serves on the Mineral-X Advisory Council.
*Note: the conventional estimate was an independent exercise and is not related to the 2025 SRK Mineral Resource Estimate.
ENDS
About Fleet:
Fleet Space Technologies is a space and AI company building the technology to find the minerals the global economy depends on. Its flagship platform, ExoSphere, combines Fleet's satellite network, rapid 3D seismic data acquisition and AI into a single system that images mineral systems in near real time with minimal environmental impact. Tau, Fleet's world model for mineral systems, extends that platform into Agentic Geoscience. Fleet works with leading exploration and mining companies including Rio Tinto and Barrick, and is backed by investors including In-Q-Tel, Blackbird and TVG. Founded in Australia, Fleet has operations across the United States, Canada, Chile, Australia and Africa.
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
AI trained on ten million synthetic Earths outperforms conventional copper estimates at TSXV-listed ATEX's Valeriano project
