Tech
Tide’s Evo Tiles Are a Fresh, Overengineered Take on the Tide Pod
Laundry is a $100 billion business. It can also be a real time suck, what with all the washing, drying, and folding. Detergent company Tide has found great success with its Pods that let you pop detergent right into a washing machine without having to measure and pour liquid or powder. Now, the next evolution is an exhaustively engineered single-use detergent called Tide Evo Tiles—a dry, fibery, single-use tile that can dissolve in cold water. It looks a lot less tasty than the bright, colorful Tide Pods, so hopefully, fewer people will try to eat this one.
Tide Evo Tiles have been in product development for over a decade. After spending a year in test markets, Tide and its parent company, Procter & Gamble, announced last week that Evo Tiles are now rolling out more broadly across the US. Prices range from $5 to $20 per box, depending on the retailer, with the price roughly 50 cents per tile.
“This is really a feat of engineering,” says Marcello Puddu, senior director of research and development at Tide. “There is a lot of very complicated engineering and formulation work that has gone to create that one single sleek tile that looks relatively simple.”
The primary hope for Tide Evo is simplicity. Single-use detergent pods are lauded for being more accessible to people who may struggle with the motor skills required to pour liquid soap or powders. Evo Tiles have a small ridge around the edges that makes them easier to pull out of the box. Deploying them is easy—just plop them (one tile for regular loads, two for heavy) into the washer as close to where the water comes out as possible, then toss the fabrics on top.
After the tile breaks apart, the ingredients work together to create a very high pH level in the water that cleans the fabrics. (Because of the high pH, Tide Evo does not use lipase, an enzyme that breaks down stains and is a popular ingredient in other detergents.)
Evo Tiles look like white, diamond-shaped Uncrustables. Instead of a Tide Pod’s colorful liquid pouches, these tiles are made of dry layers of interwoven detergent fibers—about 10,000 of them, which Tide says is enough to stretch for 15 miles, if you were inclined to do such a thing. The result is a looping, webbed lattice of tiny fibers, woven together into six layers that stay in place while on the shelf but break down quickly when they get wet, allowing separate releases of stain and odor fighters, brighteners, and fresheners.
“The structure of an assembled product allows us to do that, because we can separate things that don’t like to be together,” Puddu says. “We can put an enzyme between two layers so the two don’t attack each other. You can’t really do that as easily in other matrices.”
The goal is to combine the benefits of Tide Pods and laundry sheets and make something that packs in enough detergent to sufficiently clean a load of wash while also being lightweight and able to dissolve quickly. And, as Tide is eager to point out, it also makes things more eco-friendly.
Tide Evo tiles are specifically designed to dissolve in cold water, the idea being that washing fabrics without having to heat up water helps save energy. Packaging is also part of Tide’s ecological efforts. Unlike the plastic boxes Pods tend to come in, Tide Evo tiles are packaged in a recyclable cardboard box that is certified by the Forest Stewardship Council.
Still, Tide Evo does use polyvinyl alcohol (PVA) plastics to help the fibrous structure hold together. These are the same kind of plastics used to form the casing around Tide Pods. PVA plastics have been the subject of much debate about whether the polymers used in detergent casing can create microplastics when dissolved. They likely do not, but the products are still created within the broader plastics ecosystem and can lead to clogging of waterways if not treated properly.
Tech
Bremont Is Sending a Watch to the Moon’s Surface
A multifaceted decahedral black ceramic bezel and sandwich-style three-piece case—a reworking of Bremont’s signature Trip-Tick construction—house a chronometer-rated automatic chronograph movement made by Sellita, with a 62-hour power reserve.
The watch will be a passenger aboard the FLIP rover, due to launch as part of Astrobotic’s Griffin Mission One (Griffin-1), expected to land at the lunar south pole at some point in the second half of this year.
It’s a one-way mission: The rover will remain permanently on the lunar surface, with the watch ticking away as it roams the landscape. FLIP’s objectives include reaching elevated positions on the lunar terrain, gathering data on lunar dust accumulation, testing dust-mitigation coatings, and surviving a two-week lunar night in hibernation (which would be a first for a US rover).
In terms of serious timekeeping data for Bremont, the mission is frankly symbolic. The watch will be positioned vertically in a specially designed housing within the FLIP’s chassis, between its front wheels. Only the watch head, weighing 107 grams, is included, glued in place using a specialist composite, its face visible to FLIP’s HD cameras. But the hibernatory periods will mean the watch (whose mechanical movement is driven in normal circumstances by the motion of the wearer’s arm) will stop running once its 62-hour power reserve runs down.
When the FLIP is on the move again, its motion should—in theory—jolt the mechanism into action once more. Despite the gravitational pull that’s a sixth of the Earth’s, the acceleration, pitches, and tilts of the rover should swing the winding rotor, if with less torque and efficiency than on Earth.
“My guess is that the watch will function from time to time, but for short periods,” Cerrato says. “We will learn along the way. But that’s what is exciting—it projects us into a thinking process that is absolutely out of the box. Just the fact of having it there is inspiring.” However, there is little doubt that Bremont will, just like other brands with any ties to the cosmos, mine its new space connection for all it is worth.
FLIP itself, which weighs just 1,058 pounds and carries a mix of commercial and government payloads, four HD cameras, and a deployable solar array, is fundamentally a technology demonstrator for Flexible Logistics and Exploration (FLEX), Astrolab’s much larger SUV-sized rover destined to support NASA’s Artemis program. The firm developed the FLIP from scratch after NASA’s equivalent vehicle for which the Griffin-1 mission was contracted, the VIPER, was put on pause in 2024. This left Astrobotic seeking a stand-in in short order. Astrolab, which signed the contract within a month of hearing about the opportunity in the fall of 2024, took the FLIP from blank sheet to finished rover in roughly a year.
Its standout feature is its hyper-deformable wheels, minutely structured from silicone, composite, and stainless steel, which create a soft, enlarged contact surface with the terrain. “It’s like if you’re off-roading in a Jeep or Land Rover where you let some air out of the tires to go softer and spread the load over a larger area,” explains Astrolab’s founder, Jaret Matthews. While the moon’s nighttime temperatures of around -200 degrees Celsius (around -328 Fahrenheit) would cause conventional rubber tires to become glass-like and shatter, Astrolab’s solution is intended to keep the rover from sinking into the unconsolidated lunar dust—or regolith—that covers the environment.
Tech
Novo Nordisk partners with OpenAI to AI-power drug development | Computer Weekly
Danish pharmaceutical company Novo Nordisk has partnered with OpenAI to support drug research and development. Through the partnership, Novo Nordisk said it plans to deploy advanced artificial intelligence (AI) capabilities to analyse complex datasets, identify promising drug candidates and reduce the time required to move from research to patient.
The company said its use of AI has been structured with strict data protection, governance and human oversight to ensure ethical and compliant use. This latest partnership is being positioned as a key part of the company’s strategy to use AI to transform healthcare and enable it to bring new and better treatment options to patients faster.
In 2024, a break-out session run during its Capitals Market Day presented Novo Nordisk’s strategy, discussing how it uses data science and AI and its future plans. The presentation shows that the company set up an AI centre of excellence in 2021, and had begun ramping up investment in high performance computing and graphics processor units (GPUs) by 2023. The company said it has deployed a data pool called FounData, where all data from completed clinical trials are pooled and prepared for insights-generation.
It has also deployed NovoScribe, an AI-powered platform built using MongoDB Atlas Vector Search, Amazon Bedrock and LangChain to automate and accelerate the creation of clinical study reports. Novo Nordisk said NovoScribe reduces the time to regulatory submissions.
At the time, the company said external partnerships and collaborations would continue to play an important role in reaching its AI ambitions.
Earlier this year, Christos Nicolaou, a senior scientific director at Novo Nordisk, posted on LinkedIn that the company has now joined Ligand-AI, a new project funded by the EU public-private partnership, Innovative Health Initiative (IHI).
In the post, he said the project’s goal is to generate high quality, large, open datasets of protein-ligand interactions for thousands of proteins. “In the spirit of open science collaboration, these datasets will be shared and used to implement models and methods to improve AI-driven drug discovery,” he said.
This latest partnership with OpenAI builds on technology partnerships it has with AWS, Microsoft, Google and Hugging Face, as well as its existing collaboration with OpenAI.
“This partnership is one important step in positioning Novo Nordisk to lead in the next era of healthcare,” said Mike Doustdar, president and CEO of Novo Nordisk. “There are millions of people living with obesity and diabetes who need treatment options, and we know there are therapies still waiting to be discovered that could change their lives.
“Integrating AI in our everyday work gives us the ability to analyse datasets at a scale that was previously impossible, identify patterns we could not see, and test hypotheses faster than ever. This means discovering new therapies and bringing them to market faster than ever before.”
OpenAI said it would be assisting Novo Nordisk in upskilling the company’s global workforce and enhancing AI literacy. Through the partnership OpenAI’s capabilities will also be used to improve efficiency in manufacturing, supply chain and distribution, and corporate operations. The company is starting pilot programmes across research and development, and manufacturing and commercial operations, with full integration by the end of 2026.
Tech
Flood warning: How citizens’ AI agents will swamp public services | Computer Weekly
The people running UK public services are busy working out how artificial intelligence (AI) might improve things.
There’s some good stuff happening, like tools to digitise planning information, transcribe probation officers’ conversations or rapidly assess stroke victims. There’s some nicely radical thinking coming out of various pockets of the Government Digital Service and the Department for Science, Innovation and Technology. Teams across government are running countless experiments.
But what if governments are looking through the AI telescope from the wrong end? What if citizens’ own use of AI to access public services proves to be an even more transformative force?
Creating friction
Many public services rely on friction to stay viable. They depend on slow, confusing, frustrating user experiences to put off those otherwise eligible – how often do people just get fed up trying, and give up? This is both unfair and politically convenient. You could say “’twas ever thus” – until now.
From parents seeking special needs support to property owners appealing council tax bands, it’s often the friction of bad service design that restrains demand, not the law.
AI – specifically AI agents – will remove that friction. Your AI agent will be doggedly relentless in how it accesses public services on your behalf, however byzantine those services may be. It will make sure your application is perfectly crafted to maximise your chances of getting what you want, treating any appeals process as just another stage to be navigated.
Ask your agent
I’m lucky to have played a lot with AI agents recently – the likes of OpenClaw, PicoClaw and Claude Cowork. I recently ran an experiment with OpenClaw – what would an AI agent do if I asked it to tell me whether the council tax band for my house was fair, in comparison to my neighbours?
It came back immediately to tell me the band was higher than all my neighbours and suggested some next steps it could take. At this point I stopped it, as I’d realised something stark.
If I’d have let it, my AI agent would happily have run off to compare neighbours’ floor areas by querying the Gov.uk Energy Performance Certificate API; it would have measured neighbours’ extensions from Ordnance Survey; downloaded Land Registry’s historic house price dataset; searched property websites for number of bedrooms; and researched how best to craft an appeal over my council tax band to the Valuation Office Agency. It would then have written a far better appeal letter than I ever could and submitted it on my behalf. Just like that – all without any intervention on my part.
Now I might still have lost the appeal, but the cost to me in time and hassle would have been negligible compared to even three months ago – one click and about 12p, which is the most expensive it’ll ever be. The friction that stops people from appealing their council tax band just disappeared. Ditto every other public service.
Now what?
Agentic flooding
Welcome to the new frontier of “agentic flooding”, a term coined by Chris Schmitz, a PhD student at Berlin’s Centre for Digital Governance. He’s created a dashboard highlighting increased demand for public services which might be attributed to citizens’ use of AI.
For example, benefit appeals to the Department for Work and Pensions have increased by over 60% since the first benefit-specific AI tools appeared in 2022. And this was before AI agents appeared on the scene at the end of 2025.
Governments are not remotely ready for the coming explosion in demand for their services driven by AI agents. It might take a couple of years, but it’s coming.
Much of this demand will be entirely legitimate. Some of it doubtless will be fraudulent. But demand is demand, and AI agents don’t ever get bored – they negate the friction that used to keep demand in check.
Adding more friction to restrict AI agents would see the government kicking off an AI arms race against its citizens in which both sides lose. Instead, governments will need to clarify – if not tighten – countless rules, policies, processes and regulations, otherwise public services risk being swamped. Along the way, policy grey areas will be eliminated, and that’ll be a loss.
All this won’t be popular, particularly if done in a hurry in response to a crisis.
There’s been a great emphasis in Whitehall on using AI to write better policy papers. I hope they’re using AI to explore the myriad tricky policy responses required to respond to the imminent explosion in demand.
Oh, and by the way – the same will apply for the private sector.
Tom Loosemore is a partner at consultancy Public Digital.
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